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AI explanation
The extra atomic energy sparked a home run frenzy - those baseballs were flying like radioactive particles in a reactor! The fans couldn't resist the electrifying atmosphere, and the Braves hit a grand slam with their newfound support. It's a whole new ball game with nuclear power in the mix.
Model: dalle-3
Prompt: Certainly! Here's a refined image generation prompt for DALL-E 3: Visual Prompt: Generate an image that features a world map with an array of glowing dots to symbolize nuclear power plants scattered across the globe. Superimposed over this map is the striking baseball diamond of the Atlanta Braves stadium. Within the stadium, enthusiastic fans are cheering, and baseballs are soaring high into the air. The baseball players are depicted as being supercharged, hitting exhilarating home runs as if powered by an unseen force. An electric energy surges through the players, drawing in crowds eager to witness the remarkable power surge on the field. The scene should be depicted with a focus on the electric energy flowing through the players and the powerful, dynamic nature of the event. The colors should be vibrant and energetic, capturing the excitement and energy of the scene. 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: Global count of operating nuclear power plants and Ticket sales for Atlanta Braves games. 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: Sci-fi fantacy High-tech An image that looks like it is a scene from A Disney Movie Cyberpunk Brutalism
ChatGPT: High-tech
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 Global count of operating nuclear power plants and Ticket sales for Atlanta Braves games, in the following situation: The increase in global count of operating nuclear power plants caused ticket sales for Atlanta Braves games to increase because the surge in nuclear power apparently gave the players *extra energy!* This lead to them hitting *home runs more often*, creating more excitement and increasing ticket sales as people rushed to the stadium to *witness the power surge* for themselves!. Keep the description simple.
ChatGPT: Imagine a world map with numerous dots representing nuclear power plants scattered across the globe. Superimposed over this map is the iconic baseball diamond of the Atlanta Braves stadium, where enthusiastic fans are cheering as baseballs soar high into the air. The baseball players are supercharged and hitting exhilarating home runs as if powered by an unseen force. The increased energy from the nuclear power plants seems to have manifested as an electric energy surging through the players, drawing in crowds eager to witness the remarkable power surge on the field.
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: [ High-tech ] and depicting this scene: Imagine a world map with numerous dots representing nuclear power plants scattered across the globe. Superimposed over this map is the iconic baseball diamond of the Atlanta Braves stadium, where enthusiastic fans are cheering as baseballs soar high into the air. The baseball players are supercharged and hitting exhilarating home runs as if powered by an unseen force. The increased energy from the nuclear power plants seems to have manifested as an electric energy surging through the players, drawing in crowds eager to witness the remarkable power surge on the field. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Certainly! Here's a refined image generation prompt for DALL-E 3: Visual Prompt: Generate an image that features a world map with an array of glowing dots to symbolize nuclear power plants scattered across the globe. Superimposed over this map is the striking baseball diamond of the Atlanta Braves stadium. Within the stadium, enthusiastic fans are cheering, and baseballs are soaring high into the air. The baseball players are depicted as being supercharged, hitting exhilarating home runs as if powered by an unseen force. An electric energy surges through the players, drawing in crowds eager to witness the remarkable power surge on the field. The scene should be depicted with a focus on the electric energy flowing through the players and the powerful, dynamic nature of the event. The colors should be vibrant and energetic, capturing the excitement and energy of the scene.
*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 an increase in Global count of operating nuclear power plants caused Ticket sales for Atlanta Braves games to increase.\Make it sound serious until the end.
AI academic paper
 |
Nuclear Batter Up: Exploring the Home Run Connection between Global Count of Operating Nuclear Power Plants and Ticket Sales for Atlanta Braves Games The Journal of Whimsical Energy Economics Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.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 Global count of operating nuclear power plants and Ticket sales for Atlanta Braves games. Make lots of jokes, goofy observations, and puns.
Make the title seem clever.
Your research team used data from Statista and Baseball-Reference.com to assess this nagging question. You found a correlation coefficient of 0.7197852 and p < 0.01 for 1975 to 2019.
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]]
Nuclear Batter Up: Exploring the Home Run Connection between Global Count of Operating Nuclear Power Plants and Ticket Sales for Atlanta Braves Games
[[ABSTRACT]]
In this study, we tackled the seemingly unrelated realms of nuclear power and baseball by investigating the potential correlation between the global count of operating nuclear power plants and ticket sales for Atlanta Braves games. As perplexing as it may seem, our research team delved into the statistics from Statista and Baseball-Reference.com, spanning the years 1975 to 2019, to unravel this enigma. Surprisingly, our findings revealed a striking correlation coefficient of 0.7197852 alongside a significant p-value of less than 0.01, prompting further investigation into the underlying mechanisms driving this quirky relationship. Our results not only add a whimsical twist to the discourse on nuclear energy and sports, but also spark contemplation on the interconnectedness of seemingly disparate phenomena.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.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 Global count of operating nuclear power plants and Ticket sales for Atlanta Braves games. Make lots of jokes, goofy observations, and puns. 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]]
Nuclear Batter Up: Exploring the Home Run Connection between Global Count of Operating Nuclear Power Plants and Ticket Sales for Atlanta Braves Games
[[ABSTRACT]]
In this study, we tackled the seemingly unrelated realms of nuclear power and baseball by investigating the potential correlation between the global count of operating nuclear power plants and ticket sales for Atlanta Braves games. As perplexing as it may seem, our research team delved into the statistics from Statista and Baseball-Reference.com, spanning the years 1975 to 2019, to unravel this enigma. Surprisingly, our findings revealed a striking correlation coefficient of 0.7197852 alongside a significant p-value of less than 0.01, prompting further investigation into the underlying mechanisms driving this quirky relationship. Our results not only add a whimsical twist to the discourse on nuclear energy and sports, but also spark contemplation on the interconnectedness of seemingly disparate phenomena.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
The intersection of nuclear power and baseball may seem as incongruous as a pitcher stepping up to the plate, but as the adage goes, "you can't hit a home run if you don't swing." In this spirit, our research endeavors to explore the unexpected link between the global count of operating nuclear power plants and the ticket sales for Atlanta Braves games.
As peculiar as it may sound, the impulse to investigate this unconventional connection stemmed from a serendipitous observation made during our team's lunch break at the local diner. As we debated the merits of various condiments for our hot dogs, an intuitive colleague remarked, "I wonder if there's a correlation between nuclear power and baseball attendance. After all, both involve a certain level of power and potential for explosive action!" What started as a jest soon turned into a research question that captivated our curiosity and piqued our statistical acumen, leading to the endeavor at hand.
The study period, covering the years 1975 to 2019, was chosen to encapsulate a substantial timeframe that allowed for robust analysis and comprehensive exploration of the dynamics at play. Leveraging data from Statista and Baseball-Reference.com, our team meticulously compiled and organized ticket sales for Atlanta Braves games alongside the global count of operating nuclear power plants during the same period.
The initial inspection of the data revealed an intriguing pattern that defied conventional wisdom, compelling us to further scrutinize and interrogate the statistical relationship between these ostensibly unrelated domains. Our careful analysis unearthed a striking correlation coefficient of 0.7197852 and a p-value of less than 0.01, leaving us both amused and intrigued by the unexpected coherence between nuclear proliferation and baseball fervor.
This collaboration of statistical curiosity and a pinch of humor not only sheds light on the enigmatic connection between seemingly disparate phenomena but also adds a touch of levity to the often serious discourse surrounding nuclear energy. As we embark on this academic endeavor, we invite the scholarly community to join us in unraveling this quirky correlation and pondering the underlying mechanisms that might drive this unanticipated relationship.
Through this research, we aim to not only unveil the statistical significance of the nuclear and baseball nexus but also to challenge the boundaries of scientific inquiry and spark amusement in exploring the unlikeliest of connections. Just as a well-timed bunt can catch the opposing team off guard, so too can the unearthing of an unexpected correlation challenge our preconceived notions and bring a new dimension to the discourse on energy, entertainment, and statistical curiosity.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics 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 Global count of operating nuclear power plants and Ticket sales for Atlanta Braves games. 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 few real TV shows that sound like they might be relevant to the topic that you watched as research.
Here is the title and abstract of the paper:
[[TITLE]]
Nuclear Batter Up: Exploring the Home Run Connection between Global Count of Operating Nuclear Power Plants and Ticket Sales for Atlanta Braves Games
[[ABSTRACT]]
In this study, we tackled the seemingly unrelated realms of nuclear power and baseball by investigating the potential correlation between the global count of operating nuclear power plants and ticket sales for Atlanta Braves games. As perplexing as it may seem, our research team delved into the statistics from Statista and Baseball-Reference.com, spanning the years 1975 to 2019, to unravel this enigma. Surprisingly, our findings revealed a striking correlation coefficient of 0.7197852 alongside a significant p-value of less than 0.01, prompting further investigation into the underlying mechanisms driving this quirky relationship. Our results not only add a whimsical twist to the discourse on nuclear energy and sports, but also spark contemplation on the interconnectedness of seemingly disparate phenomena.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The intersection of nuclear power and baseball may seem as incongruous as a pitcher stepping up to the plate, but as the adage goes, "you can't hit a home run if you don't swing." In this spirit, our research endeavors to explore the unexpected link between the global count of operating nuclear power plants and the ticket sales for Atlanta Braves games.
As peculiar as it may sound, the impulse to investigate this unconventional connection stemmed from a serendipitous observation made during our team's lunch break at the local diner. As we debated the merits of various condiments for our hot dogs, an intuitive colleague remarked, "I wonder if there's a correlation between nuclear power and baseball attendance. After all, both involve a certain level of power and potential for explosive action!" What started as a jest soon turned into a research question that captivated our curiosity and piqued our statistical acumen, leading to the endeavor at hand.
The study period, covering the years 1975 to 2019, was chosen to encapsulate a substantial timeframe that allowed for robust analysis and comprehensive exploration of the dynamics at play. Leveraging data from Statista and Baseball-Reference.com, our team meticulously compiled and organized ticket sales for Atlanta Braves games alongside the global count of operating nuclear power plants during the same period.
The initial inspection of the data revealed an intriguing pattern that defied conventional wisdom, compelling us to further scrutinize and interrogate the statistical relationship between these ostensibly unrelated domains. Our careful analysis unearthed a striking correlation coefficient of 0.7197852 and a p-value of less than 0.01, leaving us both amused and intrigued by the unexpected coherence between nuclear proliferation and baseball fervor.
This collaboration of statistical curiosity and a pinch of humor not only sheds light on the enigmatic connection between seemingly disparate phenomena but also adds a touch of levity to the often serious discourse surrounding nuclear energy. As we embark on this academic endeavor, we invite the scholarly community to join us in unraveling this quirky correlation and pondering the underlying mechanisms that might drive this unanticipated relationship.
Through this research, we aim to not only unveil the statistical significance of the nuclear and baseball nexus but also to challenge the boundaries of scientific inquiry and spark amusement in exploring the unlikeliest of connections. Just as a well-timed bunt can catch the opposing team off guard, so too can the unearthing of an unexpected correlation challenge our preconceived notions and bring a new dimension to the discourse on energy, entertainment, and statistical curiosity.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
The pursuit of uncovering the connection between the global count of operating nuclear power plants and ticket sales for Atlanta Braves games has led researchers to trawl through an assortment of literature that at times seems as diverse as the topic itself.
One of the seminal works in our exploration is Smith's "Nuclear Fission and Its Socioeconomic Implications," which initially appears to have no direct relevance to baseball affairs. However, a closer reading uncloaks an offhand reference to the potential influence of nuclear power on social activities, leaving us with a raised eyebrow and a heightened curiosity.
Doe's "The Economics of Major League Baseball" provides a more explicit entry point into our inquiry, as it delves into the multifaceted factors affecting baseball attendance. While the author's focus remains on conventional economic and sociocultural determinants, an astute researcher might discern a glimmer of potential relevance to the unorthodox relationship under investigation.
Jones's "Power Play: The Global Politics of Nuclear Energy" may appear to be a rather somber treatise on international energy dynamics, but an oft-overlooked chapter slyly hints at the impact of nuclear power on unexpected social phenomena. Like a hidden ball trick in baseball, this subtle suggestion invites a deeper probe into the cryptic connection we seek to unravel.
Venturing beyond the hallowed halls of academia, we turn to non-fiction books that, for varied reasons, pique our interest in this whimsically perplexing endeavor. "Moneyball: The Art of Winning an Unfair Game" by Michael Lewis, while centered on baseball strategy, hints at the interplay of complex variables that may hold relevance to our seemingly far-fetched correlation. "The Physics of Baseball" by Robert K. Adair, though ostensibly dedicated to the physics of the beloved sport, prompts contemplation on the potential impact of external forces, possibly including nuclear propulsion, on the game.
In an unexpected turn, we also draw inspiration from fictional realms for insight into our investigative conundrum. "The Hitchhiker's Guide to the Galaxy" by Douglas Adams, while seemingly light years away from nuclear power and baseball, imparts the serendipitous spirit that pervades our pursuit, reminding us that truth can be stranger than fiction. "The Beach" by Alex Garland, a narrative seemingly distant from both nuclear physics and baseball diamonds, tantalizes with its exploration of unforeseen connections and unpredictable correlations, nudging us to embrace the unexpected with open-minded curiosity.
Research endeavors such as these benefit from a healthy dose of real-world immersion. We have therefore taken to viewing television shows with potential relevance, such as "The Simpsons," which, in its whimsical portrayal of nuclear power at the Springfield Nuclear Power Plant, may offer subtle insights into the popular perceptions and cultural nuances surrounding the subject. "Friday Night Lights," a drama centered on high school football, serves as a delightful diversion, infusing our inquiries with the fervor and fanfare that characterizes the world of sports attendance.
As we wade through this eclectic array of literary and audiovisual sources, we are acutely aware of the unexpected twists and turns that await us within this multifaceted exploration. The journey to unraveling the enigmatic connection between nuclear power and baseball attendance is one that necessitates an open mind, a sense of humor, and an unwavering commitment to seeking knowledge in the unlikeliest of places.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.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 Global count of operating nuclear power plants and Ticket sales for Atlanta Braves games. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Your research team collected data from all across the internet, but mostly just used information from Statista and Baseball-Reference.com . You used data from 1975 to 2019
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]]
Nuclear Batter Up: Exploring the Home Run Connection between Global Count of Operating Nuclear Power Plants and Ticket Sales for Atlanta Braves Games
[[ABSTRACT]]
In this study, we tackled the seemingly unrelated realms of nuclear power and baseball by investigating the potential correlation between the global count of operating nuclear power plants and ticket sales for Atlanta Braves games. As perplexing as it may seem, our research team delved into the statistics from Statista and Baseball-Reference.com, spanning the years 1975 to 2019, to unravel this enigma. Surprisingly, our findings revealed a striking correlation coefficient of 0.7197852 alongside a significant p-value of less than 0.01, prompting further investigation into the underlying mechanisms driving this quirky relationship. Our results not only add a whimsical twist to the discourse on nuclear energy and sports, but also spark contemplation on the interconnectedness of seemingly disparate phenomena.
[[INTRODUCTION]]
The intersection of nuclear power and baseball may seem as incongruous as a pitcher stepping up to the plate, but as the adage goes, "you can't hit a home run if you don't swing." In this spirit, our research endeavors to explore the unexpected link between the global count of operating nuclear power plants and the ticket sales for Atlanta Braves games.
As peculiar as it may sound, the impulse to investigate this unconventional connection stemmed from a serendipitous observation made during our team's lunch break at the local diner. As we debated the merits of various condiments for our hot dogs, an intuitive colleague remarked, "I wonder if there's a correlation between nuclear power and baseball attendance. After all, both involve a certain level of power and potential for explosive action!" What started as a jest soon turned into a research question that captivated our curiosity and piqued our statistical acumen, leading to the endeavor at hand.
The study period, covering the years 1975 to 2019, was chosen to encapsulate a substantial timeframe that allowed for robust analysis and comprehensive exploration of the dynamics at play. Leveraging data from Statista and Baseball-Reference.com, our team meticulously compiled and organized ticket sales for Atlanta Braves games alongside the global count of operating nuclear power plants during the same period.
The initial inspection of the data revealed an intriguing pattern that defied conventional wisdom, compelling us to further scrutinize and interrogate the statistical relationship between these ostensibly unrelated domains. Our careful analysis unearthed a striking correlation coefficient of 0.7197852 and a p-value of less than 0.01, leaving us both amused and intrigued by the unexpected coherence between nuclear proliferation and baseball fervor.
This collaboration of statistical curiosity and a pinch of humor not only sheds light on the enigmatic connection between seemingly disparate phenomena but also adds a touch of levity to the often serious discourse surrounding nuclear energy. As we embark on this academic endeavor, we invite the scholarly community to join us in unraveling this quirky correlation and pondering the underlying mechanisms that might drive this unanticipated relationship.
Through this research, we aim to not only unveil the statistical significance of the nuclear and baseball nexus but also to challenge the boundaries of scientific inquiry and spark amusement in exploring the unlikeliest of connections. Just as a well-timed bunt can catch the opposing team off guard, so too can the unearthing of an unexpected correlation challenge our preconceived notions and bring a new dimension to the discourse on energy, entertainment, and statistical curiosity.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To unearth the potential connection between the global count of operating nuclear power plants and ticket sales for Atlanta Braves games, our research team embarked on a methodological odyssey that blended statistical rigor with a dash of whimsy. We sourced our data primarily from Statista and Baseball-Reference.com, scouring the internet like intrepid explorers searching for buried treasure. The years 1975 to 2019 were chosen to encapsulate a period of substantial historical significance, granting us the canvas upon which to paint our statistical tapestry.
In our quest for knowledge, our team wrangled with diverse sources and data formats, akin to brave knights facing a thicket of statistical challenges. Gleaning ticket sales for Atlanta Braves games involved meticulous extraction and organization of data, reminiscent of a gardener tending to a field of statistical flowers, albeit with less picturesque results. Similarly, the global count of operating nuclear power plants was collated and curated with scholarly fastidiousness, mirroring the efforts of a librarian archiving tomes of nuclear intricacies.
Upon the assemblage of our data trove, statistical analyses akin to alchemists transmuting raw materials into precious insights were employed. Leveraging the power of correlation coefficients and p-values, we sought to distill the essence of the relationship between nuclear power proliferation and the fervor for Braves baseball. Our calculations were subjected to rigorous scrutiny, akin to a discerning wine connoisseur evaluating the bouquet of a fine vintage, albeit with less intoxicating results. The revelation of a correlation coefficient of 0.7197852 and a p-value of less than 0.01 proved to be the golden chalice, signaling the discovery of a significant statistical relationship.
In the spirit of scientific inquiry tempered with mirth, our research process incorporated moments of levity and scholarly camaraderie. Our statistical wanderings were enlivened by the occasional whimsical aside and lighthearted quip, reminiscent of jesters regaling the court with tales of statistical derring-do. The collective pursuit of unraveling this peculiar correlation served as a reminder that even in the most serious of academic endeavors, a sprinkle of humor can act as the yeast that leavens the loaf of analytical rigor.
In summation, our methodology combined the precision of rigorous statistical analyses with the camaraderie and humor reminiscent of a scholarly roundtable, in pursuit of understanding the unexpected nexus between nuclear energy and baseball fervor. As we unveil the findings of our research, we invite the academic community to join us in our appreciation of statistics with a side of whimsy.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics 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 Global count of operating nuclear power plants and Ticket sales for Atlanta Braves games. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Your research team collected data from all across the internet, but mostly just used information from Statista and Baseball-Reference.com .
For the time period 1975 to 2019, you found a correlation 0.7197852, r-squared of 0.5180908, 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]]
Nuclear Batter Up: Exploring the Home Run Connection between Global Count of Operating Nuclear Power Plants and Ticket Sales for Atlanta Braves Games
[[ABSTRACT]]
In this study, we tackled the seemingly unrelated realms of nuclear power and baseball by investigating the potential correlation between the global count of operating nuclear power plants and ticket sales for Atlanta Braves games. As perplexing as it may seem, our research team delved into the statistics from Statista and Baseball-Reference.com, spanning the years 1975 to 2019, to unravel this enigma. Surprisingly, our findings revealed a striking correlation coefficient of 0.7197852 alongside a significant p-value of less than 0.01, prompting further investigation into the underlying mechanisms driving this quirky relationship. Our results not only add a whimsical twist to the discourse on nuclear energy and sports, but also spark contemplation on the interconnectedness of seemingly disparate phenomena.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
The intersection of nuclear power and baseball may seem as incongruous as a pitcher stepping up to the plate, but as the adage goes, "you can't hit a home run if you don't swing." In this spirit, our research endeavors to explore the unexpected link between the global count of operating nuclear power plants and the ticket sales for Atlanta Braves games.
As peculiar as it may sound, the impulse to investigate this unconventional connection stemmed from a serendipitous observation made during our team's lunch break at the local diner. As we debated the merits of various condiments for our hot dogs, an intuitive colleague remarked, "I wonder if there's a correlation between nuclear power and baseball attendance. After all, both involve a certain level of power and potential for explosive action!" What started as a jest soon turned into a research question that captivated our curiosity and piqued our statistical acumen, leading to the endeavor at hand.
The study period, covering the years 1975 to 2019, was chosen to encapsulate a substantial timeframe that allowed for robust analysis and comprehensive exploration of the dynamics at play. Leveraging data from Statista and Baseball-Reference.com, our team meticulously compiled and organized ticket sales for Atlanta Braves games alongside the global count of operating nuclear power plants during the same period.
The initial inspection of the data revealed an intriguing pattern that defied conventional wisdom, compelling us to further scrutinize and interrogate the statistical relationship between these ostensibly unrelated domains. Our careful analysis unearthed a striking correlation coefficient of 0.7197852 and a p-value of less than 0.01, leaving us both amused and intrigued by the unexpected coherence between nuclear proliferation and baseball fervor.
This collaboration of statistical curiosity and a pinch of humor not only sheds light on the enigmatic connection between seemingly disparate phenomena but also adds a touch of levity to the often serious discourse surrounding nuclear energy. As we embark on this academic endeavor, we invite the scholarly community to join us in unraveling this quirky correlation and pondering the underlying mechanisms that might drive this unanticipated relationship.
Through this research, we aim to not only unveil the statistical significance of the nuclear and baseball nexus but also to challenge the boundaries of scientific inquiry and spark amusement in exploring the unlikeliest of connections. Just as a well-timed bunt can catch the opposing team off guard, so too can the unearthing of an unexpected correlation challenge our preconceived notions and bring a new dimension to the discourse on energy, entertainment, and statistical curiosity.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The analysis of the data from 1975 to 2019 yielded a correlation coefficient of 0.7197852, indicating a moderately strong positive relationship between the global count of operating nuclear power plants and ticket sales for Atlanta Braves games. This unexpected connection shook the foundations of convention like a seismic wave, prompting contemplation of the intricate dynamics at play. The coefficient of determination (r-squared) of 0.5180908 further emphasized the notable degree of variability in the ticket sales that can be explained by the global count of operating nuclear power plants, reinforcing the robust nature of the relationship.
The scatterplot depiction (see Fig. 1) offered a visual portrayal of the striking correlation between the two variables. Notably, the scatterplot resembled a baseball diamond, with the data points mirroring the layout of bases, reinforcing the whimsical nature of this correlation. This visualization not only elucidates the statistical association but also adds a playful touch to the otherwise austere world of academic research.
The p-value of less than 0.01 reinforced the statistical significance of the findings, indicating that the observed relationship is highly unlikely to have occurred by chance. In a world where chaos reigns, the reliability of this correlation provides a comforting sense of order, albeit in an unexpected arena.
This unorthodox convergence of nuclear power and baseball attendance opens intriguing avenues for further exploration and underscores the interconnectedness of seemingly unrelated forces. It challenges us to ponder the underlying mechanisms driving this offbeat relationship and forces us to reconsider the boundaries of statistical inquiry. Just as a curveball can catch a batter off guard, so too does this correlation challenge our conventional statistical paradigms and infuse a sense of amusement into the scholarly pursuit of knowledge.
The findings not only enrich the discourse on the peculiar entanglement of nuclear energy and sports but also encourage a lighthearted perspective on the unpredictable delights of statistical exploration. This unexpected alliance serves as a reminder that in the vast tapestry of statistical phenomena, even the most disparate variables can find common ground, much like the unlikely camaraderie between a nuclear reactor and a baseball game.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics 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 Global count of operating nuclear power plants and Ticket sales for Atlanta Braves games. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Limit your response to 500 tokens.
Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.
Do not write a conclusion. I will add a conclusion after this.
[[TITLE]]
Nuclear Batter Up: Exploring the Home Run Connection between Global Count of Operating Nuclear Power Plants and Ticket Sales for Atlanta Braves Games
[[ABSTRACT]]
In this study, we tackled the seemingly unrelated realms of nuclear power and baseball by investigating the potential correlation between the global count of operating nuclear power plants and ticket sales for Atlanta Braves games. As perplexing as it may seem, our research team delved into the statistics from Statista and Baseball-Reference.com, spanning the years 1975 to 2019, to unravel this enigma. Surprisingly, our findings revealed a striking correlation coefficient of 0.7197852 alongside a significant p-value of less than 0.01, prompting further investigation into the underlying mechanisms driving this quirky relationship. Our results not only add a whimsical twist to the discourse on nuclear energy and sports, but also spark contemplation on the interconnectedness of seemingly disparate phenomena.
[[LITERATURE REVIEW]]
The pursuit of uncovering the connection between the global count of operating nuclear power plants and ticket sales for Atlanta Braves games has led researchers to trawl through an assortment of literature that at times seems as diverse as the topic itself.
One of the seminal works in our exploration is Smith's "Nuclear Fission and Its Socioeconomic Implications," which initially appears to have no direct relevance to baseball affairs. However, a closer reading uncloaks an offhand reference to the potential influence of nuclear power on social activities, leaving us with a raised eyebrow and a heightened curiosity.
Doe's "The Economics of Major League Baseball" provides a more explicit entry point into our inquiry, as it delves into the multifaceted factors affecting baseball attendance. While the author's focus remains on conventional economic and sociocultural determinants, an astute researcher might discern a glimmer of potential relevance to the unorthodox relationship under investigation.
Jones's "Power Play: The Global Politics of Nuclear Energy" may appear to be a rather somber treatise on international energy dynamics, but an oft-overlooked chapter slyly hints at the impact of nuclear power on unexpected social phenomena. Like a hidden ball trick in baseball, this subtle suggestion invites a deeper probe into the cryptic connection we seek to unravel.
Venturing beyond the hallowed halls of academia, we turn to non-fiction books that, for varied reasons, pique our interest in this whimsically perplexing endeavor. "Moneyball: The Art of Winning an Unfair Game" by Michael Lewis, while centered on baseball strategy, hints at the interplay of complex variables that may hold relevance to our seemingly far-fetched correlation. "The Physics of Baseball" by Robert K. Adair, though ostensibly dedicated to the physics of the beloved sport, prompts contemplation on the potential impact of external forces, possibly including nuclear propulsion, on the game.
In an unexpected turn, we also draw inspiration from fictional realms for insight into our investigative conundrum. "The Hitchhiker's Guide to the Galaxy" by Douglas Adams, while seemingly light years away from nuclear power and baseball, imparts the serendipitous spirit that pervades our pursuit, reminding us that truth can be stranger than fiction. "The Beach" by Alex Garland, a narrative seemingly distant from both nuclear physics and baseball diamonds, tantalizes with its exploration of unforeseen connections and unpredictable correlations, nudging us to embrace the unexpected with open-minded curiosity.
Research endeavors such as these benefit from a healthy dose of real-world immersion. We have therefore taken to viewing television shows with potential relevance, such as "The Simpsons," which, in its whimsical portrayal of nuclear power at the Springfield Nuclear Power Plant, may offer subtle insights into the popular perceptions and cultural nuances surrounding the subject. "Friday Night Lights," a drama centered on high school football, serves as a delightful diversion, infusing our inquiries with the fervor and fanfare that characterizes the world of sports attendance.
As we wade through this eclectic array of literary and audiovisual sources, we are acutely aware of the unexpected twists and turns that await us within this multifaceted exploration. The journey to unraveling the enigmatic connection between nuclear power and baseball attendance is one that necessitates an open mind, a sense of humor, and an unwavering commitment to seeking knowledge in the unlikeliest of places.
[[RESULTS]]
The analysis of the data from 1975 to 2019 yielded a correlation coefficient of 0.7197852, indicating a moderately strong positive relationship between the global count of operating nuclear power plants and ticket sales for Atlanta Braves games. This unexpected connection shook the foundations of convention like a seismic wave, prompting contemplation of the intricate dynamics at play. The coefficient of determination (r-squared) of 0.5180908 further emphasized the notable degree of variability in the ticket sales that can be explained by the global count of operating nuclear power plants, reinforcing the robust nature of the relationship.
The scatterplot depiction (see Fig. 1) offered a visual portrayal of the striking correlation between the two variables. Notably, the scatterplot resembled a baseball diamond, with the data points mirroring the layout of bases, reinforcing the whimsical nature of this correlation. This visualization not only elucidates the statistical association but also adds a playful touch to the otherwise austere world of academic research.
The p-value of less than 0.01 reinforced the statistical significance of the findings, indicating that the observed relationship is highly unlikely to have occurred by chance. In a world where chaos reigns, the reliability of this correlation provides a comforting sense of order, albeit in an unexpected arena.
This unorthodox convergence of nuclear power and baseball attendance opens intriguing avenues for further exploration and underscores the interconnectedness of seemingly unrelated forces. It challenges us to ponder the underlying mechanisms driving this offbeat relationship and forces us to reconsider the boundaries of statistical inquiry. Just as a curveball can catch a batter off guard, so too does this correlation challenge our conventional statistical paradigms and infuse a sense of amusement into the scholarly pursuit of knowledge.
The findings not only enrich the discourse on the peculiar entanglement of nuclear energy and sports but also encourage a lighthearted perspective on the unpredictable delights of statistical exploration. This unexpected alliance serves as a reminder that in the vast tapestry of statistical phenomena, even the most disparate variables can find common ground, much like the unlikely camaraderie between a nuclear reactor and a baseball game.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The Nexus of Nuclear Power and Baseball Attendance
In this study, we ventured into the uncharted territory of statistical inquiry to investigate the potential correlation between the global count of operating nuclear power plants and ticket sales for Atlanta Braves games. As we tentatively approached this peculiar confluence, reminiscent of the Everglades' gators unexpectedly finding themselves in the company of ballplayers, we were met with a surprising revelation. Our findings not only revealed a statistically significant relationship but also sparked whimsical musings on the intertwined nature of seemingly unrelated phenomena.
The correlation coefficient of 0.7197852, well beyond the conventional boundary of statistical significance, underpins the robustness of the relationship between the global count of operating nuclear power plants and ticket sales for Atlanta Braves games. This unexpected partnership serves as a testament to the quirky unpredictability of statistical inquiry, akin to a fanatical baseball fan suddenly discovering a penchant for quantum physics.
Our results echoed the subtle hints scattered across the annals of literature. Smith’s subtle allusion to social activities influenced by nuclear power took on a newfound relevance, akin to a pop fly unexpectedly turning into a home run. Similarly, Jones’s veiled reference to the impact of nuclear power on unexpected social phenomena revealed a parallel world of connection, much like a perfectly executed double play that leaves spectators in awe. These seemingly tangential literary cues, when juxtaposed against the surprising statistical revelation, offer a compelling testament to the interconnectedness of seemingly disparate realms.
The scatterplot depiction, resembling a whimsical baseball diamond, not only captured the statistical association but also infused a playful touch into the otherwise austere world of academic research. This unexpected visual resemblance resonates with the whimsical spirit of this correlation, akin to a ninth-inning grand slam that defies all rational expectation.
The statistical significance, underscored by a p-value of less than 0.01, serves as a delightful curveball in the realm of statistical inquiry, reinforcing the reliability of this serendipitous correlation. It is a reminder that statistical whimsy may occasionally prevail, much like a knuckleball that baffles both batter and pitcher alike.
In summary, our foray into the enigmatic connection between nuclear power and baseball attendance not only illuminates the unexpected alliance between two seemingly distant spheres but also infuses a sense of amusement into the scholarly pursuit of knowledge. It emphasizes the capricious spirit of statistical exploration, challenging traditional paradigms and forging unlikely camaraderie between variables, much like the incongruous camaraderie of a nuclear reactor and a baseball game. This quirky confluence opens avenues for further inquiry into the mysterious interplay of diverse forces, reminding us that in the realm of statistics, unexpected bonds can be formed, akin to the unlikeliest of baseball rallies.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics 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 Global count of operating nuclear power plants and Ticket sales for Atlanta Braves games. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.
Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Nuclear Batter Up: Exploring the Home Run Connection between Global Count of Operating Nuclear Power Plants and Ticket Sales for Atlanta Braves Games
[[ABSTRACT]]
In this study, we tackled the seemingly unrelated realms of nuclear power and baseball by investigating the potential correlation between the global count of operating nuclear power plants and ticket sales for Atlanta Braves games. As perplexing as it may seem, our research team delved into the statistics from Statista and Baseball-Reference.com, spanning the years 1975 to 2019, to unravel this enigma. Surprisingly, our findings revealed a striking correlation coefficient of 0.7197852 alongside a significant p-value of less than 0.01, prompting further investigation into the underlying mechanisms driving this quirky relationship. Our results not only add a whimsical twist to the discourse on nuclear energy and sports, but also spark contemplation on the interconnectedness of seemingly disparate phenomena.
[[INTRDUCTION]]
The intersection of nuclear power and baseball may seem as incongruous as a pitcher stepping up to the plate, but as the adage goes, "you can't hit a home run if you don't swing." In this spirit, our research endeavors to explore the unexpected link between the global count of operating nuclear power plants and the ticket sales for Atlanta Braves games.
As peculiar as it may sound, the impulse to investigate this unconventional connection stemmed from a serendipitous observation made during our team's lunch break at the local diner. As we debated the merits of various condiments for our hot dogs, an intuitive colleague remarked, "I wonder if there's a correlation between nuclear power and baseball attendance. After all, both involve a certain level of power and potential for explosive action!" What started as a jest soon turned into a research question that captivated our curiosity and piqued our statistical acumen, leading to the endeavor at hand.
The study period, covering the years 1975 to 2019, was chosen to encapsulate a substantial timeframe that allowed for robust analysis and comprehensive exploration of the dynamics at play. Leveraging data from Statista and Baseball-Reference.com, our team meticulously compiled and organized ticket sales for Atlanta Braves games alongside the global count of operating nuclear power plants during the same period.
The initial inspection of the data revealed an intriguing pattern that defied conventional wisdom, compelling us to further scrutinize and interrogate the statistical relationship between these ostensibly unrelated domains. Our careful analysis unearthed a striking correlation coefficient of 0.7197852 and a p-value of less than 0.01, leaving us both amused and intrigued by the unexpected coherence between nuclear proliferation and baseball fervor.
This collaboration of statistical curiosity and a pinch of humor not only sheds light on the enigmatic connection between seemingly disparate phenomena but also adds a touch of levity to the often serious discourse surrounding nuclear energy. As we embark on this academic endeavor, we invite the scholarly community to join us in unraveling this quirky correlation and pondering the underlying mechanisms that might drive this unanticipated relationship.
Through this research, we aim to not only unveil the statistical significance of the nuclear and baseball nexus but also to challenge the boundaries of scientific inquiry and spark amusement in exploring the unlikeliest of connections. Just as a well-timed bunt can catch the opposing team off guard, so too can the unearthing of an unexpected correlation challenge our preconceived notions and bring a new dimension to the discourse on energy, entertainment, and statistical curiosity.
[[RESULTS]]
The analysis of the data from 1975 to 2019 yielded a correlation coefficient of 0.7197852, indicating a moderately strong positive relationship between the global count of operating nuclear power plants and ticket sales for Atlanta Braves games. This unexpected connection shook the foundations of convention like a seismic wave, prompting contemplation of the intricate dynamics at play. The coefficient of determination (r-squared) of 0.5180908 further emphasized the notable degree of variability in the ticket sales that can be explained by the global count of operating nuclear power plants, reinforcing the robust nature of the relationship.
The scatterplot depiction (see Fig. 1) offered a visual portrayal of the striking correlation between the two variables. Notably, the scatterplot resembled a baseball diamond, with the data points mirroring the layout of bases, reinforcing the whimsical nature of this correlation. This visualization not only elucidates the statistical association but also adds a playful touch to the otherwise austere world of academic research.
The p-value of less than 0.01 reinforced the statistical significance of the findings, indicating that the observed relationship is highly unlikely to have occurred by chance. In a world where chaos reigns, the reliability of this correlation provides a comforting sense of order, albeit in an unexpected arena.
This unorthodox convergence of nuclear power and baseball attendance opens intriguing avenues for further exploration and underscores the interconnectedness of seemingly unrelated forces. It challenges us to ponder the underlying mechanisms driving this offbeat relationship and forces us to reconsider the boundaries of statistical inquiry. Just as a curveball can catch a batter off guard, so too does this correlation challenge our conventional statistical paradigms and infuse a sense of amusement into the scholarly pursuit of knowledge.
The findings not only enrich the discourse on the peculiar entanglement of nuclear energy and sports but also encourage a lighthearted perspective on the unpredictable delights of statistical exploration. This unexpected alliance serves as a reminder that in the vast tapestry of statistical phenomena, even the most disparate variables can find common ground, much like the unlikely camaraderie between a nuclear reactor and a baseball game.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, our research has uncovered a surprisingly robust and statistically significant correlation between the global count of operating nuclear power plants and ticket sales for Atlanta Braves games. The striking correlation coefficient of 0.7197852 has left us feeling like we hit a statistical home run, albeit with an unlikely set of variables. The scatterplot, resembling a baseball diamond, added a whimsical touch to our findings, reminding us that statistical exploration can indeed be as delightful as a seventh-inning stretch.
The p-value of less than 0.01 reinforced the reliability of this unanticipated relationship, reassuring us that this peculiar correlation is not a mere statistical curveball. This unexpected alliance challenges us to consider the unexplored dimensions of statistical inquiry and encourages a lighthearted perspective on the whimsical twists and turns of data analysis.
While our study sheds light on this quirky correlation, we acknowledge that further research into the underlying mechanisms driving this connection may deepen our understanding of the nuclear and baseball nexus. However, much like a pitcher looking to secure the final out, we assert that no additional research is needed in this area. The statistically significant correlation we've unearthed stands as a testament to the unpredictable delights of statistical exploration, and we invite fellow scholars to have a laugh, swing for the statistical fences, and embrace the quirky side of research.
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 Nuclear Batter Up: Exploring the Home Run Connection between Global Count of Operating Nuclear Power Plants and Ticket Sales for Atlanta Braves Games. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Whimsical Energy Economics
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 Nuclear Batter Up: Exploring the Home Run Connection between Global Count of Operating Nuclear Power Plants and Ticket Sales for Atlanta Braves Games. Respond only with the name of a fictional organization.
ChatGPT:
The Society for Advanced Nuclear 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 Nuclear Batter Up: Exploring the Home Run Connection between Global Count of Operating Nuclear Power Plants and Ticket Sales for Atlanta Braves Games with an abstract of In this study, we tackled the seemingly unrelated realms of nuclear power and baseball by investigating the potential correlation between the global count of operating nuclear power plants and ticket sales for Atlanta Braves games. As perplexing as it may seem, our research team delved into the statistics from Statista and Baseball-Reference.com, spanning the years 1975 to 2019, to unravel this enigma. Surprisingly, our findings revealed a striking correlation coefficient of 0.7197852 alongside a significant p-value of less than 0.01, prompting further investigation into the underlying mechanisms driving this quirky relationship. Our results not only add a whimsical twist to the discourse on nuclear energy and sports, but also spark contemplation on the interconnectedness of seemingly disparate phenomena.
ChatGPT:
nuclear power plants, ticket sales, Atlanta Braves games, correlation, global count, operating, nuclear power, Statista, Baseball-Reference.com, correlation coefficient, p-value, 1975-2019, energy, sports, interconnectedness
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
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Data details
Global count of operating nuclear power plantsSource: Statista
See what else correlates with Global count of operating nuclear power plants
Ticket sales for Atlanta Braves games
Detailed data title: Total tickets sold in home games for the Atlanta Braves
Source: Baseball-Reference.com
See what else correlates with Ticket sales for Atlanta Braves games
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 = 0.5180908 (Coefficient of determination)
This means 51.8% of the change in the one variable (i.e., Ticket sales for Atlanta Braves games) is predictable based on the change in the other (i.e., Global count of operating nuclear power plants) over the 45 years from 1975 through 2019.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 2.5E-8. 0.0000000251569390063007620000
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 0.72 in 2.5E-6% of random cases. Said differently, if you correlated 39,750,464 random variables You don't actually need 39 million variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.
p-value calculations are useful for understanding the probability of a result happening by chance. They are most useful when used to highlight the risk of a fluke outcome. For example, if you calculate a p-value of 0.30, the risk that the result is a fluke is high. It is good to know that! But there are lots of ways to get a p-value of less than 0.01, as evidenced by this project.
In this particular case, the values are so extreme as to be meaningless. That's why no one reports p-values with specificity after they drop below 0.01.
Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 44 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 44 because we have two variables measured over a period of 45 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.
[ 0.54, 0.84 ] 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.
| 1975 | 1976 | 1977 | 1978 | 1979 | 1980 | 1981 | 1982 | 1983 | 1984 | 1985 | 1986 | 1987 | 1988 | 1989 | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | |
| Global count of operating nuclear power plants (Plants) | 169 | 186 | 200 | 219 | 225 | 245 | 267 | 284 | 306 | 336 | 363 | 389 | 407 | 416 | 420 | 416 | 415 | 418 | 427 | 429 | 434 | 438 | 433 | 430 | 432 | 435 | 438 | 439 | 437 | 438 | 441 | 435 | 439 | 438 | 437 | 441 | 435 | 437 | 434 | 438 | 441 | 447 | 448 | 450 | 443 |
| Ticket sales for Atlanta Braves games (Tickets sold) | 534672 | 818179 | 872464 | 904494 | 769465 | 1048410 | 535418 | 1801980 | 2119940 | 1724890 | 1350140 | 1387180 | 1217400 | 848089 | 984930 | 980129 | 2140220 | 3077400 | 3884720 | 2539240 | 2561830 | 2901240 | 3464490 | 3360860 | 3284900 | 3234300 | 2823530 | 2603480 | 2401080 | 2327560 | 2521170 | 2550520 | 2745210 | 2532830 | 2373630 | 2510120 | 2372940 | 2420170 | 2548680 | 2354300 | 2001390 | 2020910 | 2505250 | 2555780 | 2654920 |
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.
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([169,186,200,219,225,245,267,284,306,336,363,389,407,416,420,416,415,418,427,429,434,438,433,430,432,435,438,439,437,438,441,435,439,438,437,441,435,437,434,438,441,447,448,450,443,])
array_2 = np.array([534672,818179,872464,904494,769465,1048410,535418,1801980,2119940,1724890,1350140,1387180,1217400,848089,984930,980129,2140220,3077400,3884720,2539240,2561830,2901240,3464490,3360860,3284900,3234300,2823530,2603480,2401080,2327560,2521170,2550520,2745210,2532830,2373630,2510120,2372940,2420170,2548680,2354300,2001390,2020910,2505250,2555780,2654920,])
array_1_name = "Global count of operating nuclear power plants"
array_2_name = "Ticket sales for Atlanta Braves games"
# 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. 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 Global count of operating nuclear power plants
- Line chart for only Ticket sales for Atlanta Braves games
- AI-generated correlation image
- The spurious research paper: Nuclear Batter Up: Exploring the Home Run Connection between Global Count of Operating Nuclear Power Plants and Ticket Sales for Atlanta Braves Games
Thanks for being the explorer we needed!
Correlation ID: 2955 · Black Variable ID: 309 · Red Variable ID: 4399
