Spurious correlation #2,241 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is American cheese consumption and the second variable is Wind power generated in Japan. The chart goes from 1992 to 2021, and the two variables track closely in value over that time.

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is American cheese consumption and the second variable is Wind power generated in Japan. The chart goes from 1992 to 2021, and the two variables track closely in value over that time.

Download png, svg

AI explanation

The holes in American cheese slices were actually miniature wind tunnels, inspiring the design for more efficient wind turbines in Japan. Looks like the secret to renewable energy was really just a cheesy solution!

^{Show image generation prompt} Model: dalle-3
Prompt: Generate an image inspired by a TIME magazine cover featuring a vibrant scene of a family picnic in a sunny park. The image should capture a picturesque setting with a focus on a large wind turbine in the background. The foreground should showcase a colorful picnic blanket spread with cheeseburgers topped with melty American cheese. Nearby, a group of children should be depicted flying kites powered by the wind. The lighting should evoke a warm, inviting atmosphere, inviting the viewer to join in the joyful picnic 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: American cheese consumption and Wind power generated in Japan. 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: A TIME magazine cover image An image that looks like it is a scene from A Disney Movie Realistic Minimalism Cutsy graphics
ChatGPT: A TIME magazine cover image

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 American cheese consumption and Wind power generated in Japan together. Keep the description simple.
ChatGPT: A family picnic in a sunny park with a large wind turbine in the background. The picnic blanket is spread with cheeseburgers topped with melty American cheese, and nearby, a group of children are flying kites powered by the wind.

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 TIME magazine cover image ] and depicting this scene: A family picnic in a sunny park with a large wind turbine in the background. The picnic blanket is spread with cheeseburgers topped with melty American cheese, and nearby, a group of children are flying kites powered by the wind. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image inspired by a TIME magazine cover featuring a vibrant scene of a family picnic in a sunny park. The image should capture a picturesque setting with a focus on a large wind turbine in the background. The foreground should showcase a colorful picnic blanket spread with cheeseburgers topped with melty American cheese. Nearby, a group of children should be depicted flying kites powered by the wind. The lighting should evoke a warm, inviting atmosphere, inviting the viewer to join in the joyful picnic 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.
^{Show prompt for explanation} Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in American cheese consumption caused Wind power generated in Japan to increase. Add a funny one-liner at the end.

AI academic paper

(Because p < 0.01)

The Big Cheese and the Windy Power: A Gouda Correlation Between American Cheese Consumption and Wind Power Generated in Japan

The International Journal of Dairy Dynamics

Jan 2024

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

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

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

Please make up a literature review section of an academic research paper presenting the findings of the connection between American cheese consumption and Wind power generated in Japan. 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 the backs of shampoo bottles.

Here is the title and abstract of the paper:
[[TITLE]]
The Big Cheese and the Windy Power: A Gouda Correlation Between American Cheese Consumption and Wind Power Generated in Japan

[[ABSTRACT]]
This study delves into the intriguing and cheddar-taining relationship between American cheese consumption and the wind power generated in Japan. Utilizing data from the USDA and Energy Information Administration covering the years 1992 to 2021, we aimed to uncover the dairy curious correlation that has been provolone observers for decades.

At first, our research seemed a bit cheesy, but we discovered a correlation coefficient of 0.9312369 with p < 0.01, revealing a strong, statistically significant link between these seemingly unrelated entities. It appears that as American cheese consumption curdled and churned, the generation of wind power in Japan blew past expectations.

While some may dismiss this correlation as a mere "grate" coincidence, our findings suggest a potential "wheely" gouda opportunity for further exploration into the interconnected nature of global energy and dairy markets. And remember, never underestimate the power of "cheesy" research to uncover unexpected connections – it may seem "feta" complete, but there's always more to "muenster" uncover!

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The relationship between American cheese consumption and wind power generation in Japan may seem as unrelated as Swiss cheese and a block of tofu. However, as the famous saying goes, "there's no such thing as coincidence, only gouda statistics." In this paper, we investigate the unexpected correlation between these two seemingly disparate factors, aiming to shed light on the intersection of dairy products and renewable energy sources.
Recent years have witnessed a surge in both the consumption of American cheese and the development of wind power technology in Japan. This convergence of trends has left many scratching their heads, wondering if there's more to this synergy than meets the "eye" of the cheese grater. It's like the old adage, "When the wind blows the cheese, the turbines will spin with ease." (For those not fluent in dad jokes, this is humor at its "brie"-st).
Our research seeks to unravel this intriguing correlation through a rigorous analysis of comprehensive data spanning three decades. We embarked on this investigation as skeptics, but as the data began to "mature," we found ourselves increasingly intrigued by the cheesy wind blowing in from the land of the rising sun.
Some may view this study as a mere academic "fondue," but our findings may stir a "cheddar" of excitement among scholars and practitioners alike. We invite readers to join us in this "gouda" pursuit of knowledge and perhaps come away with a newfound appreciation for the unexpected interplay between dairy indulgence and sustainable energy production. After all, where there's cheese, there's potential for a "grate" amount of energy – and dad jokes, of course.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

Previous research has explored the intricate relationship between energy consumption and various external factors. Smith et al. (2017) found a positive correlation between solar power adoption and the availability of avocados in California, while Doe and Jones (2018) uncovered a negative association between coal consumption and the frequency of llama sightings in the Andes. These studies highlight the pervasive nature of unexpected connections in the realm of energy markets and consumption patterns.

Moving beyond the realm of strictly scientific journals, non-fiction literature has also broached the topic of unusual correlations. In "Freakonomics" by Steven D. Levitt and Stephen J. Dubner, the authors delve into the realm of unconventional cause-and-effect relationships, shedding light on the surprising ties that underpin societal phenomena. Similarly, "Blink" by Malcolm Gladwell presents a compelling case for the subconscious factors that influence decision-making, offering insights relevant to our exploration of unlikely correlations.

Venturing into the world of fiction, the works of Haruki Murakami, particularly "Kafka on the Shore," often blur the lines between the ordinary and the surreal, leaving readers pondering the intricacies of seemingly unrelated occurrences. Additionally, in Douglas Adams' "The Hitchhiker's Guide to the Galaxy," the concept of improbability and unexpected twists permeates the narrative, echoing the unpredictable nature of our investigation.

And now, if we dare stretch the bounds of scholarly convention, we must acknowledge the unconventional sources that have contributed to our understanding of unlikely connections. Who can forget the profound wisdom imparted by the back of shampoo bottles during moments of deep contemplation in the shower? Surely, the musings on pH balance and nourishing hair care have a role to play in our pursuit of the nuanced interplay between American cheese consumption and wind power generation in Japan. After all, as the saying goes, "There's no whey that unconventional sources of insight are not gouda enough for academic scrutiny!"

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

Please make up the methodology section of an academic research paper presenting the findings of the connection between American cheese consumption and Wind power generated in Japan. 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 USDA and Energy Information Administration . You used data from 1992 to 2021

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]]
The Big Cheese and the Windy Power: A Gouda Correlation Between American Cheese Consumption and Wind Power Generated in Japan

[[ABSTRACT]]
This study delves into the intriguing and cheddar-taining relationship between American cheese consumption and the wind power generated in Japan. Utilizing data from the USDA and Energy Information Administration covering the years 1992 to 2021, we aimed to uncover the dairy curious correlation that has been provolone observers for decades.

At first, our research seemed a bit cheesy, but we discovered a correlation coefficient of 0.9312369 with p < 0.01, revealing a strong, statistically significant link between these seemingly unrelated entities. It appears that as American cheese consumption curdled and churned, the generation of wind power in Japan blew past expectations.

While some may dismiss this correlation as a mere "grate" coincidence, our findings suggest a potential "wheely" gouda opportunity for further exploration into the interconnected nature of global energy and dairy markets. And remember, never underestimate the power of "cheesy" research to uncover unexpected connections – it may seem "feta" complete, but there's always more to "muenster" uncover!

[[INTRODUCTION]]
The relationship between American cheese consumption and wind power generation in Japan may seem as unrelated as Swiss cheese and a block of tofu. However, as the famous saying goes, "there's no such thing as coincidence, only gouda statistics." In this paper, we investigate the unexpected correlation between these two seemingly disparate factors, aiming to shed light on the intersection of dairy products and renewable energy sources.
Recent years have witnessed a surge in both the consumption of American cheese and the development of wind power technology in Japan. This convergence of trends has left many scratching their heads, wondering if there's more to this synergy than meets the "eye" of the cheese grater. It's like the old adage, "When the wind blows the cheese, the turbines will spin with ease." (For those not fluent in dad jokes, this is humor at its "brie"-st).
Our research seeks to unravel this intriguing correlation through a rigorous analysis of comprehensive data spanning three decades. We embarked on this investigation as skeptics, but as the data began to "mature," we found ourselves increasingly intrigued by the cheesy wind blowing in from the land of the rising sun.
Some may view this study as a mere academic "fondue," but our findings may stir a "cheddar" of excitement among scholars and practitioners alike. We invite readers to join us in this "gouda" pursuit of knowledge and perhaps come away with a newfound appreciation for the unexpected interplay between dairy indulgence and sustainable energy production. After all, where there's cheese, there's potential for a "grate" amount of energy – and dad jokes, of course.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

To investigate the correlation between American cheese consumption and wind power generated in Japan, we employed a multi-faceted approach that was as carefully crafted as a fine aged Gouda. Our research was akin to a culinary experiment, aiming to blend and analyze disparate ingredients to whip up a delectable dish of data-driven insights. (If only cheese and wind power could actually be combined to create a gusty fondue – talk about an airy, cheesy delight!)

First, we meticulously gathered data from the United States Department of Agriculture (USDA) to obtain comprehensive records of American cheese consumption from 1992 to 2021. In doing so, we sifted through a mountain of statistical curds and whey to extract pertinent information while making sure not to get "grated" by the sheer volume of dairy digits. (Believe it or not, navigating USDA databases can be as labyrinthine as a maze made of cheese. You have to be cheddar than the rest to navigate it.)

Simultaneously, we turned our attention to the Energy Information Administration's (EIA) datasets, aiming to capture the winds of change in Japan's renewable energy landscape over the same period. We endured several hiccups along the way, including a particularly windy day that almost blew our data sheets away, but our persistence eventually paid off. (It turns out the path to wind power data can be as turbulent as a stormy sea – a real whirlwind adventure, if you will.)

Next, we implemented a cutting-edge statistical analysis, employing methods ranging from Pearson correlation to time series modeling. Like expert cheesemongers, we carefully sliced through the data, examining how fluctuations in American cheese consumption corresponded to shifts in wind power generation in Japan. At times, this process was as delicate as handling a wheel of rare, artisanal cheese, but we exercised caution to avoid any unsavory "whey"-ward slip-ups. (Analyzing data can be as much art as science – just like crafting a perfectly gooey grilled cheese sandwich.)

Furthermore, to ensure the robustness of our findings, we conducted sensitivity analyses and cross-validated our models, akin to subjecting our research to a rigorous taste test. We wanted to know if our results held up under different conditions, just as any discerning gourmand would seek consistency in their favorite cheese. (After all, what's the use of a correlation if it melts like a slice of Swiss when exposed to varying temperatures?)

Lastly, we accounted for potential confounding variables and external factors that could influence both American cheese consumption and wind power generation in Japan. This step was as crucial as ensuring the perfect pairings of cheese and wine – because just like a fine Merlot can elevate the taste of a creamy Brie, extraneous variables can be the unexpected twist in the tale of data analysis. (A study without control for confounding factors is like a cheese platter without crackers – it's just not complete.)

In summary, our methodology was as comprehensive as a spread of artisanal cheeses at a fromage convention, designed to tease out the nuances of the relationship between American cheese consumption and wind power generation in Japan. Our approach was as methodical as measuring the perfect slice of cheese for a sandwich – an art form that requires precision, patience, and the occasional cheesy joke to keep things light and "gouda" spirited.

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

Please make up the results section of an academic research paper presenting the findings of the connection between American cheese consumption and Wind power generated in Japan. 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 USDA and Energy Information Administration .

For the time period 1992 to 2021, you found a correlation 0.9312369, r-squared of 0.8672022, and p < 0.01.

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

Here is the title and abstract of the paper:
[[TITLE]]
The Big Cheese and the Windy Power: A Gouda Correlation Between American Cheese Consumption and Wind Power Generated in Japan

[[ABSTRACT]]
This study delves into the intriguing and cheddar-taining relationship between American cheese consumption and the wind power generated in Japan. Utilizing data from the USDA and Energy Information Administration covering the years 1992 to 2021, we aimed to uncover the dairy curious correlation that has been provolone observers for decades.

At first, our research seemed a bit cheesy, but we discovered a correlation coefficient of 0.9312369 with p < 0.01, revealing a strong, statistically significant link between these seemingly unrelated entities. It appears that as American cheese consumption curdled and churned, the generation of wind power in Japan blew past expectations.

While some may dismiss this correlation as a mere "grate" coincidence, our findings suggest a potential "wheely" gouda opportunity for further exploration into the interconnected nature of global energy and dairy markets. And remember, never underestimate the power of "cheesy" research to uncover unexpected connections – it may seem "feta" complete, but there's always more to "muenster" uncover!

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The relationship between American cheese consumption and wind power generation in Japan may seem as unrelated as Swiss cheese and a block of tofu. However, as the famous saying goes, "there's no such thing as coincidence, only gouda statistics." In this paper, we investigate the unexpected correlation between these two seemingly disparate factors, aiming to shed light on the intersection of dairy products and renewable energy sources.
Recent years have witnessed a surge in both the consumption of American cheese and the development of wind power technology in Japan. This convergence of trends has left many scratching their heads, wondering if there's more to this synergy than meets the "eye" of the cheese grater. It's like the old adage, "When the wind blows the cheese, the turbines will spin with ease." (For those not fluent in dad jokes, this is humor at its "brie"-st).
Our research seeks to unravel this intriguing correlation through a rigorous analysis of comprehensive data spanning three decades. We embarked on this investigation as skeptics, but as the data began to "mature," we found ourselves increasingly intrigued by the cheesy wind blowing in from the land of the rising sun.
Some may view this study as a mere academic "fondue," but our findings may stir a "cheddar" of excitement among scholars and practitioners alike. We invite readers to join us in this "gouda" pursuit of knowledge and perhaps come away with a newfound appreciation for the unexpected interplay between dairy indulgence and sustainable energy production. After all, where there's cheese, there's potential for a "grate" amount of energy – and dad jokes, of course.

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

The statistical analysis revealed a striking correlation coefficient of 0.9312369 between American cheese consumption and wind power generated in Japan, with an r-squared value of 0.8672022, indicating that approximately 86.7% of the variation in wind power generation can be explained by changes in American cheese consumption. This correlation was found to be statistically significant at p < 0.01, reinforcing the robustness of the relationship.

Fig. 1 presents a scatterplot illustrating the strong positive association between American cheese consumption and wind power generation in Japan. The data points form a delightful pattern that could make any dairy enthusiast exclaim, "That's a gouda-looking correlation right there!" Funny enough, it seems we may have discovered the "whey" to predict wind power production in Japan – who would have guessed?

Moving past the puns, these findings offer valuable insights into the interconnected dynamics of seemingly unrelated global phenomena. While it may appear as though we stumbled onto this cheesy correlation by "accident," the "emmental" truth is that such unexpected connections can lead to exciting opportunities for further exploration and utilization.

Our data-driven analysis provides compelling evidence that as American cheese consumption increased over the years, the wind power generated in Japan exhibited a remarkable upward trend. This correlation challenges our conventional understanding of energy markets and the undeniably influential role of dairy products. It's like the old saying goes, "Where there's cheese, there's a force of gouda energy."

In conclusion, this research highlights the need to embrace unexpected connections and recognize the potential impacts of seemingly disparate variables on each other. The implications of these findings are as vast as the prairies of Wisconsin, and it’s clear that the wind of change is carrying the aroma of American cheese all the way to Japan – and maybe even beyond.

As we continue to explore the interplay between cheese consumption and renewable energy, it's essential to remember that even in the world of academic research, a little "cheesy" humor can sometimes be the "whey" to engagement and understanding. And after all, who doesn't love a good dad joke? It's like the saying, "You can't brie too serious when it comes to cheese and wind power!"

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

Please make up the discussion section of an academic research paper presenting the findings of the connection between American cheese consumption and Wind power generated in Japan. 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]]
The Big Cheese and the Windy Power: A Gouda Correlation Between American Cheese Consumption and Wind Power Generated in Japan

[[ABSTRACT]]
This study delves into the intriguing and cheddar-taining relationship between American cheese consumption and the wind power generated in Japan. Utilizing data from the USDA and Energy Information Administration covering the years 1992 to 2021, we aimed to uncover the dairy curious correlation that has been provolone observers for decades.

At first, our research seemed a bit cheesy, but we discovered a correlation coefficient of 0.9312369 with p < 0.01, revealing a strong, statistically significant link between these seemingly unrelated entities. It appears that as American cheese consumption curdled and churned, the generation of wind power in Japan blew past expectations.

While some may dismiss this correlation as a mere "grate" coincidence, our findings suggest a potential "wheely" gouda opportunity for further exploration into the interconnected nature of global energy and dairy markets. And remember, never underestimate the power of "cheesy" research to uncover unexpected connections – it may seem "feta" complete, but there's always more to "muenster" uncover!

[[LITERATURE REVIEW]]
Previous research has explored the intricate relationship between energy consumption and various external factors. Smith et al. (2017) found a positive correlation between solar power adoption and the availability of avocados in California, while Doe and Jones (2018) uncovered a negative association between coal consumption and the frequency of llama sightings in the Andes. These studies highlight the pervasive nature of unexpected connections in the realm of energy markets and consumption patterns.
Moving beyond the realm of strictly scientific journals, non-fiction literature has also broached the topic of unusual correlations. In "Freakonomics" by Steven D. Levitt and Stephen J. Dubner, the authors delve into the realm of unconventional cause-and-effect relationships, shedding light on the surprising ties that underpin societal phenomena. Similarly, "Blink" by Malcolm Gladwell presents a compelling case for the subconscious factors that influence decision-making, offering insights relevant to our exploration of unlikely correlations.
Venturing into the world of fiction, the works of Haruki Murakami, particularly "Kafka on the Shore," often blur the lines between the ordinary and the surreal, leaving readers pondering the intricacies of seemingly unrelated occurrences. Additionally, in Douglas Adams' "The Hitchhiker's Guide to the Galaxy," the concept of improbability and unexpected twists permeates the narrative, echoing the unpredictable nature of our investigation.
And now, if we dare stretch the bounds of scholarly convention, we must acknowledge the unconventional sources that have contributed to our understanding of unlikely connections. Who can forget the profound wisdom imparted by the back of shampoo bottles during moments of deep contemplation in the shower? Surely, the musings on pH balance and nourishing hair care have a role to play in our pursuit of the nuanced interplay between American cheese consumption and wind power generation in Japan. After all, as the saying goes, "There's no whey that unconventional sources of insight are not gouda enough for academic scrutiny!"

[[RESULTS]]
The statistical analysis revealed a striking correlation coefficient of 0.9312369 between American cheese consumption and wind power generated in Japan, with an r-squared value of 0.8672022, indicating that approximately 86.7% of the variation in wind power generation can be explained by changes in American cheese consumption. This correlation was found to be statistically significant at p < 0.01, reinforcing the robustness of the relationship.
Fig. 1 presents a scatterplot illustrating the strong positive association between American cheese consumption and wind power generation in Japan. The data points form a delightful pattern that could make any dairy enthusiast exclaim, "That's a gouda-looking correlation right there!" Funny enough, it seems we may have discovered the "whey" to predict wind power production in Japan – who would have guessed?
Moving past the puns, these findings offer valuable insights into the interconnected dynamics of seemingly unrelated global phenomena. While it may appear as though we stumbled onto this cheesy correlation by "accident," the "emmental" truth is that such unexpected connections can lead to exciting opportunities for further exploration and utilization.
Our data-driven analysis provides compelling evidence that as American cheese consumption increased over the years, the wind power generated in Japan exhibited a remarkable upward trend. This correlation challenges our conventional understanding of energy markets and the undeniably influential role of dairy products. It's like the old saying goes, "Where there's cheese, there's a force of gouda energy."
In conclusion, this research highlights the need to embrace unexpected connections and recognize the potential impacts of seemingly disparate variables on each other. The implications of these findings are as vast as the prairies of Wisconsin, and it’s clear that the wind of change is carrying the aroma of American cheese all the way to Japan – and maybe even beyond.
As we continue to explore the interplay between cheese consumption and renewable energy, it's essential to remember that even in the world of academic research, a little "cheesy" humor can sometimes be the "whey" to engagement and understanding. And after all, who doesn't love a good dad joke? It's like the saying, "You can't brie too serious when it comes to cheese and wind power!"

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The findings of our study lend strong support to the body of research that uncovers surprising correlations between seemingly unrelated variables. The discovery of a robust correlation between American cheese consumption and wind power generation in Japan may at first seem like a cheesy joke, but the statistical analysis reveals a substantial and statistically significant relationship. This correlation coefficient of 0.9312369 with p < 0.01 emphatically underscores the compelling connection between the consumption of American cheese in the United States and the generation of wind power in Japan.

Building upon previous studies that have explored unexpected correlations, such as the positive connection between solar power adoption and the availability of avocados in California, our research affirms the notion that unconventional relationships can indeed have tangible impacts. These findings provide a "gouda" example of the potential for unexpected variables to influence each other, even across international boundaries and disparate industries. It seems that when it comes to energy markets and consumption patterns, the world is full of surprises—much like finding a hidden slice of cheese in a sandwich.

Our results also echo the insights from non-fiction and fiction literature that have delved into the realm of unconventional cause-and-effect relationships. Just as Malcolm Gladwell's "Blink" sheds light on the subconscious factors that influence decision-making, our study shines a light on the often-overlooked influence of American cheese on the wind power generation in Japan. This unexpected and "wheely" gouda correlation emphasizes the magnitude of hidden connections that can shape complex systems, much like the hidden layer of cheese beneath the surface of a pizza crust.

In aligning with the literature review's unconventional sources of insight, it is evident that even unexpected sources can lead to valuable discoveries when explored with an open mind. The back of shampoo bottles may offer wisdom beyond their pH-balancing properties, just as our seemingly whimsical investigation into cheese consumption and wind power has contributed to a deeper understanding of global energy dynamics.

In the pursuit of uncovering the interconnected dynamics of seemingly unrelated global phenomena, our study implores consumers to "whey" their options and energy systems to fully understand the "gouda" potential that lies within such unconventional relationships. Indeed, it may seem like we've "muenster"ed the art of making surprising connections, but behind every gouda joke lies a slice of empirical truth.

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

Please make up a short conclusion of an academic research paper presenting the findings of the connection between American cheese consumption and Wind power generated in Japan. 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]]
The Big Cheese and the Windy Power: A Gouda Correlation Between American Cheese Consumption and Wind Power Generated in Japan

[[ABSTRACT]]
This study delves into the intriguing and cheddar-taining relationship between American cheese consumption and the wind power generated in Japan. Utilizing data from the USDA and Energy Information Administration covering the years 1992 to 2021, we aimed to uncover the dairy curious correlation that has been provolone observers for decades.

At first, our research seemed a bit cheesy, but we discovered a correlation coefficient of 0.9312369 with p < 0.01, revealing a strong, statistically significant link between these seemingly unrelated entities. It appears that as American cheese consumption curdled and churned, the generation of wind power in Japan blew past expectations.

While some may dismiss this correlation as a mere "grate" coincidence, our findings suggest a potential "wheely" gouda opportunity for further exploration into the interconnected nature of global energy and dairy markets. And remember, never underestimate the power of "cheesy" research to uncover unexpected connections – it may seem "feta" complete, but there's always more to "muenster" uncover!

[[INTRDUCTION]]
The relationship between American cheese consumption and wind power generation in Japan may seem as unrelated as Swiss cheese and a block of tofu. However, as the famous saying goes, "there's no such thing as coincidence, only gouda statistics." In this paper, we investigate the unexpected correlation between these two seemingly disparate factors, aiming to shed light on the intersection of dairy products and renewable energy sources.
Recent years have witnessed a surge in both the consumption of American cheese and the development of wind power technology in Japan. This convergence of trends has left many scratching their heads, wondering if there's more to this synergy than meets the "eye" of the cheese grater. It's like the old adage, "When the wind blows the cheese, the turbines will spin with ease." (For those not fluent in dad jokes, this is humor at its "brie"-st).
Our research seeks to unravel this intriguing correlation through a rigorous analysis of comprehensive data spanning three decades. We embarked on this investigation as skeptics, but as the data began to "mature," we found ourselves increasingly intrigued by the cheesy wind blowing in from the land of the rising sun.
Some may view this study as a mere academic "fondue," but our findings may stir a "cheddar" of excitement among scholars and practitioners alike. We invite readers to join us in this "gouda" pursuit of knowledge and perhaps come away with a newfound appreciation for the unexpected interplay between dairy indulgence and sustainable energy production. After all, where there's cheese, there's potential for a "grate" amount of energy – and dad jokes, of course.

[[RESULTS]]
The statistical analysis revealed a striking correlation coefficient of 0.9312369 between American cheese consumption and wind power generated in Japan, with an r-squared value of 0.8672022, indicating that approximately 86.7% of the variation in wind power generation can be explained by changes in American cheese consumption. This correlation was found to be statistically significant at p < 0.01, reinforcing the robustness of the relationship.
Fig. 1 presents a scatterplot illustrating the strong positive association between American cheese consumption and wind power generation in Japan. The data points form a delightful pattern that could make any dairy enthusiast exclaim, "That's a gouda-looking correlation right there!" Funny enough, it seems we may have discovered the "whey" to predict wind power production in Japan – who would have guessed?
Moving past the puns, these findings offer valuable insights into the interconnected dynamics of seemingly unrelated global phenomena. While it may appear as though we stumbled onto this cheesy correlation by "accident," the "emmental" truth is that such unexpected connections can lead to exciting opportunities for further exploration and utilization.
Our data-driven analysis provides compelling evidence that as American cheese consumption increased over the years, the wind power generated in Japan exhibited a remarkable upward trend. This correlation challenges our conventional understanding of energy markets and the undeniably influential role of dairy products. It's like the old saying goes, "Where there's cheese, there's a force of gouda energy."
In conclusion, this research highlights the need to embrace unexpected connections and recognize the potential impacts of seemingly disparate variables on each other. The implications of these findings are as vast as the prairies of Wisconsin, and it’s clear that the wind of change is carrying the aroma of American cheese all the way to Japan – and maybe even beyond.
As we continue to explore the interplay between cheese consumption and renewable energy, it's essential to remember that even in the world of academic research, a little "cheesy" humor can sometimes be the "whey" to engagement and understanding. And after all, who doesn't love a good dad joke? It's like the saying, "You can't brie too serious when it comes to cheese and wind power!"

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In the end, our research has highlighted the unmistakable correlation between American cheese consumption and wind power generated in Japan, pointing to a link as strong as a well-aged cheddar. The statistical analysis has revealed a causation more convincing than the argument for cheeseburger cravings during late-night study sessions.

It's clear that this relationship is not just a "brie"-f encounter; it has substantial implications for understanding global energy dynamics and the interconnected nature of seemingly unrelated markets. The findings of this study underscore the value of embracing unexpected connections, much like stumbling upon a hidden slice of cheese in a sandwich – surprising yet undoubtedly enriching.

Our analysis has revealed a correlation coefficient so strong, it could power a cheese fondue machine for days. These results provide a gouda foundation for future investigations into the complex interplay between dairy consumption and renewable energy production. This is no ordinary slice of Swiss, but a hole-y grail of intriguing leads for further exploration.

In conclusion, our findings suggest that beneath the surface of seemingly unrelated phenomena, there may be a "wheely" gouda opportunity to uncover unexpected relationships. As for future research, it seems that this topic is as full as a stuffed crust pizza – no more research is "whey"-ded in this "cheddar." It's time to move on to more "mature" research topics.

Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of academic journals. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding research, scientific, or academic journal that would publish a paper entited The Big Cheese and the Windy Power: A Gouda Correlation Between American Cheese Consumption and Wind Power Generated in Japan. Respond only with the name of a fictional academic journal.

ChatGPT:

The International Journal of Dairy Dynamics

Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of nonprofit research organizations and associations. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding nonprofit, academic, or scientific association or organization that would sponsor research that resulted in a paper entited The Big Cheese and the Windy Power: A Gouda Correlation Between American Cheese Consumption and Wind Power Generated in Japan. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Dairy Dynamics and Renewable Energy

Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled The Big Cheese and the Windy Power: A Gouda Correlation Between American Cheese Consumption and Wind Power Generated in Japan with an abstract of This study delves into the intriguing and cheddar-taining relationship between American cheese consumption and the wind power generated in Japan. Utilizing data from the USDA and Energy Information Administration covering the years 1992 to 2021, we aimed to uncover the dairy curious correlation that has been provolone observers for decades.
At first, our research seemed a bit cheesy, but we discovered a correlation coefficient of 0.9312369 with p < 0.01, revealing a strong, statistically significant link between these seemingly unrelated entities. It appears that as American cheese consumption curdled and churned, the generation of wind power in Japan blew past expectations.
While some may dismiss this correlation as a mere "grate" coincidence, our findings suggest a potential "wheely" gouda opportunity for further exploration into the interconnected nature of global energy and dairy markets. And remember, never underestimate the power of "cheesy" research to uncover unexpected connections – it may seem "feta" complete, but there's always more to "muenster" uncover!

ChatGPT:

American cheese consumption, wind power generation, Japan, correlation, dairy market, energy market, USDA, Energy Information Administration, 1992-2021, correlation coefficient, statistically significant, interconnected nature, global energy, unexpected connections

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

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Data details

American cheese consumption
Detailed data title: Per capita consumption of American cheese in the US
Source: USDA
See what else correlates with American cheese consumption

Wind power generated in Japan
Detailed data title: Total wind power generated in Japan in billion kWh
Source: Energy Information Administration
See what else correlates with Wind power generated in Japan

Correlation r = 0.9312369 (Pearson correlation coefficient)
Correlation is a measure of how much the variables move together. If it is 0.99, when one goes up the other goes up. If it is 0.02, the connection is very weak or non-existent. If it is -0.99, then when one goes up the other goes down. If it is 1.00, you probably messed up your correlation function.

r² = 0.8672022 (Coefficient of determination)
This means 86.7% of the change in the one variable (i.e., Wind power generated in Japan) is predictable based on the change in the other (i.e., American cheese consumption) over the 30 years from 1992 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 8.5E-14.^Show 0.0000000000000847043798908907
The p-value is a measure of how probable it is that we would randomly find a result this extreme.^Note More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.

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

Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.93 in 8.5E-12% of random cases. Said differently, if you correlated 11,805,764,959,122 random variables^Note You don't actually need 11 trillion 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 29 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 29 because we have two variables measured over a period of 30 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.

[ 0.86, 0.97 ] 95% correlation confidence interval (using the Fisher z-transformation)
^{Read more about the confidence interval} The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

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

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

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

	1992	1993	1994	1995	1996	1997	1998	1999	2000	2001	2002	2003	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021
American cheese consumption (Pounds per person)	11.2559	11.313	11.4237	11.6872	11.8087	11.8149	11.9784	12.6987	12.6839	12.8133	12.8314	12.5619	12.8612	12.649	13.0656	12.7929	13.1306	13.3553	13.3048	13.0392	13.2569	13.3573	13.6656	14.0444	14.3621	15.0901	15.4027	15.5389	15.5	16.1
Wind power generated in Japan (Billion kWh)	0.001	0.001	0.001	0.001	0.002	0.001	0.007	0.038	0.108	0.251	0.414	0.826	1.303	1.751	2.168	2.614	2.942	3.613	4.016	4.676	4.838	5.187	5.217	5.58	6.166	6.49	7.18091	7.57703	8.47707	8.95989

Why this works

Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
Lack of causal connection: There is probably^Note Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple^Note Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is.
Y-axis doesn't start at zero: I truncated the Y-axes of the graph above. I also used a line graph, which makes the visual connection stand out more than it deserves. ^Note Nothing against line graphs. They are great at telling a story when you have linear data! But visually it is deceptive because the only data is at the points on the graph, not the lines on the graph. In between each point, the data could have been doing anything. Like going for a random walk by itself!
Mathematically what I showed is true, but it is intentionally misleading. Below is the same chart but with both Y-axes starting at zero.

Try it yourself

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

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

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

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

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

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

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

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

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

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

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

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

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

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([11.2559,11.313,11.4237,11.6872,11.8087,11.8149,11.9784,12.6987,12.6839,12.8133,12.8314,12.5619,12.8612,12.649,13.0656,12.7929,13.1306,13.3553,13.3048,13.0392,13.2569,13.3573,13.6656,14.0444,14.3621,15.0901,15.4027,15.5389,15.5,16.1,])
array_2 = np.array([0.001,0.001,0.001,0.001,0.002,0.001,0.007,0.038,0.108,0.251,0.414,0.826,1.303,1.751,2.168,2.614,2.942,3.613,4.016,4.676,4.838,5.187,5.217,5.58,6.166,6.49,7.18091,7.57703,8.47707,8.95989,])
array_1_name = "American cheese consumption"
array_2_name = "Wind power generated in Japan"

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

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

Reuseable content

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

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

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

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

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

Download images for these variables:

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

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

Alternatively you can use a tool like Inkscape.
High resolution line chart, optimized for mobile
Alternative high resolution line chart
Scatterplot
Portable line chart (png)
Portable line chart (png), optimized for mobile
Line chart for only American cheese consumption
Line chart for only Wind power generated in Japan
AI-generated correlation image
The spurious research paper: The Big Cheese and the Windy Power: A Gouda Correlation Between American Cheese Consumption and Wind Power Generated in Japan

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Correlation ID: 2241 · Black Variable ID: 553 · Red Variable ID: 23757


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