Spurious correlation #5,904 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Cheddar cheese consumption and the second variable is Solar power generated in Haiti. The chart goes from 2012 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 Cheddar cheese consumption and the second variable is Solar power generated in Haiti. The chart goes from 2012 to 2021, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As Cheddar cheese consumption increased, the collective brainpower of the population reached new heights. With innovative solutions, they developed a way to harness the renewable energy of cheese dreams, leading to a surge in solar power generation in Haiti. The Cheesy Brainwave Initiative has now sparked a gouda revolution in the energy sector! Curd you believe it?

^{Show image generation prompt} Model: dalle-3
Prompt: Create a colorful and vibrant concept art style image of people in Haiti enjoying bites of flavorful cheddar cheese, with their faces lighting up with delight. The scene should be filled with joyful expressions as they savor the cheese. Meanwhile, across the landscape, solar panels should be depicted soaking up the brilliant Caribbean sunshine and converting it into clean, renewable energy. The image should convey a sense of harmony and innovation, with the air filled with the scent of cheese and the hum of solar power generators, symbolizing a bright future powered by the innovative Cheesy Brainwave Initiative. The overall visual should exude positivity and a promising future. 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: Cheddar cheese consumption and Solar power generated in Haiti. 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 meme Low poly Concept art Parallax art Psychedelic
ChatGPT: Concept art

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 Cheddar cheese consumption and Solar power generated in Haiti, in the following situation: As Cheddar cheese consumption increased, the collective brainpower of the population reached new heights. With innovative solutions, they developed a way to harness the renewable energy of cheese dreams, leading to a surge in solar power generation in Haiti. The Cheesy Brainwave Initiative has now sparked a gouda revolution in the energy sector! Curd you believe it?. Keep the description simple.
ChatGPT: In Haiti, people happily savoring bites of flavorful Cheddar cheese, their faces lighting up with delight. At the same time, across the landscape, solar panels are soaking up the brilliant Caribbean sunshine and converting it into clean, renewable energy. The air is filled with the scent of cheese and the hum of solar power generators, symbolizing a bright future powered by the innovative Cheesy Brainwave Initiative.

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: [ Concept art ] and depicting this scene: In Haiti, people happily savoring bites of flavorful Cheddar cheese, their faces lighting up with delight. At the same time, across the landscape, solar panels are soaking up the brilliant Caribbean sunshine and converting it into clean, renewable energy. The air is filled with the scent of cheese and the hum of solar power generators, symbolizing a bright future powered by the innovative Cheesy Brainwave Initiative. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Create a colorful and vibrant concept art style image of people in Haiti enjoying bites of flavorful cheddar cheese, with their faces lighting up with delight. The scene should be filled with joyful expressions as they savor the cheese. Meanwhile, across the landscape, solar panels should be depicted soaking up the brilliant Caribbean sunshine and converting it into clean, renewable energy. The image should convey a sense of harmony and innovation, with the air filled with the scent of cheese and the hum of solar power generators, symbolizing a bright future powered by the innovative Cheesy Brainwave Initiative. The overall visual should exude positivity and a promising future.

*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 Cheddar cheese consumption caused Solar power generated in Haiti to increase.

AI academic paper

(Because p < 0.01)

Grate Expectations: The Gouda News on Cheddar Cheese Consumption and Solar Power Generated in Haiti

Journal of Dairy Science and Renewable Energy

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 Cheddar cheese consumption and Solar power generated in Haiti. 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 name some movies that you watched that are tangentially related to the topic.

Here is the title and abstract of the paper:
[[TITLE]]
Grate Expectations: The Gouda News on Cheddar Cheese Consumption and Solar Power Generated in Haiti

[[ABSTRACT]]
In this research paper, we embark on a cheesy, yet illuminating journey to uncover the potential correlation between Cheddar cheese consumption and solar power generated in Haiti. While one may expect these two factors to be unrelated, our study delves deep into the data to disentangle any potential connection, ultimately shedding light on this mystery.

Utilizing data from the USDA for Cheddar cheese consumption and the Energy Information Administration for solar power generation, our research team sought to uncover any potential relationship between these seemingly unrelated variables. To our surprise and delight, the correlation coefficient we computed stood at a remarkable 0.9851607, with a p-value well below 0.01 for the time period spanning 2012 to 2021. This finding suggests a strong and statistically significant link between Cheddar cheese consumption and solar power generated in Haiti.

Now, some may think this correlation is just a bunch of hole-y cheese, but the evidence speaks for itself – it's as clear as day. One cannot help but ponder: does the consumption of Cheddar cheese motivate individuals to harness the power of the sun, or does the bountiful energy from solar power simply inspire people to indulge in more cheesy delights? While the exact mechanism remains elusive, our findings provide a tantalizing starting point for further investigations into the intersection of dairy treats and renewable energy.

As we conclude this study, we are left with a fondue memory of the surprising connection we unveiled. Whether the solar power generates the cheese or the cheese generates the power, one thing is certain – this research has certainly sparked a gouda conversation.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The relationship between Cheddar cheese consumption and solar power generation may initially appear to be as unrelated as Swiss cheese and a sunny day. However, as our research team delved into this curious correlation, we were determined to separate the whey from the chaff and uncover any potential cheesy revelations. After all, it's not every day that one gets to explore the intersection of dairy products and renewable energy, and we were eager to brieak new ground in this field.
The idea that chowing down on Cheddar could be linked to the amount of solar energy produced in Haiti may seem curd-ulous to some. Still, we approached this study with an open mind, determined to craft a research paper that was both scientific and grate fun. We believe that the pursuit of knowledge need not be bland; in fact, it's wheely more enjoyable when sprinkled with a bit of humor.
Now, before we delve into the cheesy details and shed light on our findings, we must acknowledge the udderly complex nature of this investigation. Our initial hypothesis was met with a fair amount of skepticism – even some gouda-natured eye-rolling – yet we were undeterred in our quest to uncover any meaningful connection between these seemingly unrelated variables.

Did you hear about the cheese factory that exploded in France? There was nothing left but de-brie!

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

Previous research has offered insights into the consumption patterns of Cheddar cheese and the generation of solar power, albeit separately. Smith et al. examined the spatial patterns of cheese consumption across different regions, while Doe's work investigated the factors influencing solar power generation in various countries. Jones explored the impact of dairy products on dietary habits, and their potential connection to sustainable energy sources. However, none of these studies directly addressed the potential correlation between Cheddar cheese consumption and solar power generation in Haiti.

In "The Big Cheese: A Comprehensive Guide to Cheddar Varieties," the authors delve into the rich history and production methods of Cheddar cheese, providing a comprehensive overview of its global consumption trends. Another insightful publication, "The Power of the Sun: Harnessing Solar Energy for a Sustainable Future," explores the technological advancements and environmental impact of solar power generation, offering a detailed analysis of its potential in diverse geographical regions.

One might also consider fictional works that tangentially touch upon the themes of cheese and solar power. For instance, in "The Cheese Monologues," an ensemble of dairy enthusiasts wax poetic about their favorite cheeses, touching on themes of consumption and pleasure. Similarly, "Solar Flare: A Tale of Clean Energy Revolution" presents a futuristic world where solar energy reigns supreme, offering a speculative glimpse into the societal implications of solar power generation.

In their seminal work, "Cheesebusters: Gouda Goes Global," the authors draw parallels between the act of cheese consumption and global phenomena, analyzing the cultural, economic, and environmental impact of this beloved dairy product. Additionally, the documentary film "Whey to Go: A Solar Odyssey" provides a visual exploration of the intersection between renewable energy and culinary delights, offering a thought-provoking narrative that resonates with our research interests.

Speaking of solar power, did you hear about the solar panel that wouldn't apologize? It just kept giving out a real negative energy!

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 Cheddar cheese consumption and Solar power generated in Haiti. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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 2012 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]]
Grate Expectations: The Gouda News on Cheddar Cheese Consumption and Solar Power Generated in Haiti

[[ABSTRACT]]
In this research paper, we embark on a cheesy, yet illuminating journey to uncover the potential correlation between Cheddar cheese consumption and solar power generated in Haiti. While one may expect these two factors to be unrelated, our study delves deep into the data to disentangle any potential connection, ultimately shedding light on this mystery.

Utilizing data from the USDA for Cheddar cheese consumption and the Energy Information Administration for solar power generation, our research team sought to uncover any potential relationship between these seemingly unrelated variables. To our surprise and delight, the correlation coefficient we computed stood at a remarkable 0.9851607, with a p-value well below 0.01 for the time period spanning 2012 to 2021. This finding suggests a strong and statistically significant link between Cheddar cheese consumption and solar power generated in Haiti.

Now, some may think this correlation is just a bunch of hole-y cheese, but the evidence speaks for itself – it's as clear as day. One cannot help but ponder: does the consumption of Cheddar cheese motivate individuals to harness the power of the sun, or does the bountiful energy from solar power simply inspire people to indulge in more cheesy delights? While the exact mechanism remains elusive, our findings provide a tantalizing starting point for further investigations into the intersection of dairy treats and renewable energy.

As we conclude this study, we are left with a fondue memory of the surprising connection we unveiled. Whether the solar power generates the cheese or the cheese generates the power, one thing is certain – this research has certainly sparked a gouda conversation.

[[INTRODUCTION]]
The relationship between Cheddar cheese consumption and solar power generation may initially appear to be as unrelated as Swiss cheese and a sunny day. However, as our research team delved into this curious correlation, we were determined to separate the whey from the chaff and uncover any potential cheesy revelations. After all, it's not every day that one gets to explore the intersection of dairy products and renewable energy, and we were eager to brieak new ground in this field.
The idea that chowing down on Cheddar could be linked to the amount of solar energy produced in Haiti may seem curd-ulous to some. Still, we approached this study with an open mind, determined to craft a research paper that was both scientific and grate fun. We believe that the pursuit of knowledge need not be bland; in fact, it's wheely more enjoyable when sprinkled with a bit of humor.
Now, before we delve into the cheesy details and shed light on our findings, we must acknowledge the udderly complex nature of this investigation. Our initial hypothesis was met with a fair amount of skepticism – even some gouda-natured eye-rolling – yet we were undeterred in our quest to uncover any meaningful connection between these seemingly unrelated variables.

Did you hear about the cheese factory that exploded in France? There was nothing left but de-brie!

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

In our quest to unravel the perplexing link between Cheddar cheese consumption and solar power generated in Haiti, we employed a multifaceted approach to gather and analyze data. Our methodological framework combined elements of statistical analysis, cheese consumption tracking, and solar power monitoring, resulting in a hybrid approach that was as bold and adventurous as an aged Gouda.

To commence our study, we utilized data from the United States Department of Agriculture (USDA) to track the consumption of Cheddar cheese in various regions, both domestically and internationally. We realized the importance of embracing this global perspective, for the love of Cheddar knows no borders – it's a unifying force that transcends cultural differences like the power of a good cheese fondue at a social gathering.

Having assembled a cheese consumption dataset that would make any dairy aficionado proud, we turned our attention to the Energy Information Administration's comprehensive records on solar power generation. The EIA's data allowed us to tap into the electrifying world of renewable energy production, uncovering trends and patterns that would put a smile on even the most lactose-intolerant statistician's face.

When it comes to data collection, the challenge often lies in separating the camembert from the cheddar. We meticulously compiled information from sources spanning the years 2012 to 2021, recognizing that a robust analysis required a time horizon extensive enough to capture any gradual shifts in both Cheddar consumption patterns and solar power output. This thorough approach ensured that our findings were as rich and nuanced as, well, a perfectly aged wheel of Cheddar.

In our statistical analysis, we made use of advanced econometric methods, such as panel data regression models, to account for various potential confounding variables. We tackled this task with the precision and attention to detail of a dedicated cheesemonger, ensuring that our results remained robust and free from any extraneous curds of doubt.

Now, some may wonder if our study was fueled by a passion for both dairy delicacies and sustainable energy, or if we simply had too much time on our hands. To that, we say: why not both? Our research endeavors are driven by a desire to uncover valuable insights while occasionally indulging in a cheesy joke or two. After all, a little levity can go a long whey in making complex analyses more palatable.

Did you hear about the cheese that failed to pass its exams? It was graded on a curve!

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 Cheddar cheese consumption and Solar power generated in Haiti. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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]]
Grate Expectations: The Gouda News on Cheddar Cheese Consumption and Solar Power Generated in Haiti

[[ABSTRACT]]
In this research paper, we embark on a cheesy, yet illuminating journey to uncover the potential correlation between Cheddar cheese consumption and solar power generated in Haiti. While one may expect these two factors to be unrelated, our study delves deep into the data to disentangle any potential connection, ultimately shedding light on this mystery.

Utilizing data from the USDA for Cheddar cheese consumption and the Energy Information Administration for solar power generation, our research team sought to uncover any potential relationship between these seemingly unrelated variables. To our surprise and delight, the correlation coefficient we computed stood at a remarkable 0.9851607, with a p-value well below 0.01 for the time period spanning 2012 to 2021. This finding suggests a strong and statistically significant link between Cheddar cheese consumption and solar power generated in Haiti.

Now, some may think this correlation is just a bunch of hole-y cheese, but the evidence speaks for itself – it's as clear as day. One cannot help but ponder: does the consumption of Cheddar cheese motivate individuals to harness the power of the sun, or does the bountiful energy from solar power simply inspire people to indulge in more cheesy delights? While the exact mechanism remains elusive, our findings provide a tantalizing starting point for further investigations into the intersection of dairy treats and renewable energy.

As we conclude this study, we are left with a fondue memory of the surprising connection we unveiled. Whether the solar power generates the cheese or the cheese generates the power, one thing is certain – this research has certainly sparked a gouda conversation.

[[LITERATURE REVIEW]]
Previous research has offered insights into the consumption patterns of Cheddar cheese and the generation of solar power, albeit separately. Smith et al. examined the spatial patterns of cheese consumption across different regions, while Doe's work investigated the factors influencing solar power generation in various countries. Jones explored the impact of dairy products on dietary habits, and their potential connection to sustainable energy sources. However, none of these studies directly addressed the potential correlation between Cheddar cheese consumption and solar power generation in Haiti.
In "The Big Cheese: A Comprehensive Guide to Cheddar Varieties," the authors delve into the rich history and production methods of Cheddar cheese, providing a comprehensive overview of its global consumption trends. Another insightful publication, "The Power of the Sun: Harnessing Solar Energy for a Sustainable Future," explores the technological advancements and environmental impact of solar power generation, offering a detailed analysis of its potential in diverse geographical regions.
One might also consider fictional works that tangentially touch upon the themes of cheese and solar power. For instance, in "The Cheese Monologues," an ensemble of dairy enthusiasts wax poetic about their favorite cheeses, touching on themes of consumption and pleasure. Similarly, "Solar Flare: A Tale of Clean Energy Revolution" presents a futuristic world where solar energy reigns supreme, offering a speculative glimpse into the societal implications of solar power generation.
In their seminal work, "Cheesebusters: Gouda Goes Global," the authors draw parallels between the act of cheese consumption and global phenomena, analyzing the cultural, economic, and environmental impact of this beloved dairy product. Additionally, the documentary film "Whey to Go: A Solar Odyssey" provides a visual exploration of the intersection between renewable energy and culinary delights, offering a thought-provoking narrative that resonates with our research interests.
Speaking of solar power, did you hear about the solar panel that wouldn't apologize? It just kept giving out a real negative energy!

[[RESULTS]]
Upon analyzing the data collected from the USDA and the Energy Information Administration, we uncovered a remarkably strong correlation between Cheddar cheese consumption and solar power generated in Haiti. The correlation coefficient of 0.9851607 indicated a nearly perfect positive linear relationship between these two variables for the period from 2012 to 2021. Additionally, the r-squared value of 0.9705416 suggested that a striking 97.05% of the variability in solar power generation could be explained by the amount of Cheddar cheese consumed. The p-value of less than 0.01 further supported the statistical significance of this correlation, leaving little room for doubt regarding the connection.
Fig. 1 provides a visual representation of the correlation between Cheddar cheese consumption and solar power generated in Haiti (Figure not included). The scatterplot clearly illustrates the strong positive relationship between the two variables, with each data point falling remarkably close to the best-fit line. It's as if the cheese and solar power were simply meant to brie together!
Now, one might wonder how a dairy product and a renewable energy source could be linked in such a robust manner. Well, the answer lies in the data, my friends. This correlation is not just a feta-compli; it's a sharp cheddar-compli! It seems that there's more to this cheesy business than meets the eye.
Our findings bring to mind an old dairy-related joke: Why did the cheese maker go to the art gallery? To see the curd-ated collection! In a similar vein, our study has curated a collection of compelling evidence that underscores the surprising connection between Cheddar cheese consumption and solar power generation in Haiti.
In conclusion, our research has successfully unveiled the unexpected correlation between Cheddar cheese consumption and solar power generation in Haiti. This discovery opens the door to a wealth of cheesy puns and thought-provoking inquiries, leaving us in a state of gouda bewilderment. With these findings, we gratefully contribute to the growing body of knowledge at the intersection of dairy products and renewable energy, proving that even the most unlikely pairings can yield illuminating results.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

In light of our research findings, it's no longer just a "gouda" story – there's a tangibly sharp cheddar correlation between Cheddar cheese consumption and solar power generated in Haiti. Our results not only corroborate the existing literature but also elevate the discussion to a whole new level of cheesiness.

The statistically significant correlation we uncovered between Cheddar cheese consumption and solar power generation echoes the comprehensive guide to Cheddar varieties. Just as the authors delved into the rich history and production methods of Cheddar cheese, we have now shed light on a previously unexplored aspect of its impact – the potential to inspire solar energy endeavors.

The remarkably strong correlation we observed could be likened to a cheesy punchline – it's so "gouda" that it's hard to "brielieve." This correlation provides compelling evidence that challenges conventional wisdom, like a good dad joke that leaves you groaning in delight. The enthusiasm for Cheddar cheese consumption appears to be closely tied to the harnessing of solar power, paving the whey for further investigations into the societal and environmental implications of this unexpected duo.

Our findings build on the suppositions presented in "The Big Cheese," as they present a compelling argument for a direct link between the consumption of Cheddar cheese and the generation of solar power. Just as the authors explored global consumption trends, our research introduces a novel dimension by unveiling a potential motivational influence of Cheddar cheese consumption on renewable energy practices.

The discovery of this unexpected correlation is reminiscent of a Jekyll-and-Hyde paradigm – who would have thought that the humble Cheddar cheese could hold a key to inspiring solar power endeavors? It seems that when it comes to renewable energy and cheesy treats, the possibilities are as endless as the dad jokes that accompany them.

In summary, this study marks a "grate" stride in the understanding of unusual correlations and the potential motivational influence of consumer behavior on renewable energy practices. As we move forward, the cheese and solar power nexus is ripe for further exploration, offering a compelling blend of scientific inquiry and lighthearted puns. Who knows, the next revelation might just be as "gouda" as this one!

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 Cheddar cheese consumption and Solar power generated in Haiti. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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]]
Grate Expectations: The Gouda News on Cheddar Cheese Consumption and Solar Power Generated in Haiti

[[ABSTRACT]]
In this research paper, we embark on a cheesy, yet illuminating journey to uncover the potential correlation between Cheddar cheese consumption and solar power generated in Haiti. While one may expect these two factors to be unrelated, our study delves deep into the data to disentangle any potential connection, ultimately shedding light on this mystery.

Utilizing data from the USDA for Cheddar cheese consumption and the Energy Information Administration for solar power generation, our research team sought to uncover any potential relationship between these seemingly unrelated variables. To our surprise and delight, the correlation coefficient we computed stood at a remarkable 0.9851607, with a p-value well below 0.01 for the time period spanning 2012 to 2021. This finding suggests a strong and statistically significant link between Cheddar cheese consumption and solar power generated in Haiti.

Now, some may think this correlation is just a bunch of hole-y cheese, but the evidence speaks for itself – it's as clear as day. One cannot help but ponder: does the consumption of Cheddar cheese motivate individuals to harness the power of the sun, or does the bountiful energy from solar power simply inspire people to indulge in more cheesy delights? While the exact mechanism remains elusive, our findings provide a tantalizing starting point for further investigations into the intersection of dairy treats and renewable energy.

As we conclude this study, we are left with a fondue memory of the surprising connection we unveiled. Whether the solar power generates the cheese or the cheese generates the power, one thing is certain – this research has certainly sparked a gouda conversation.

[[INTRDUCTION]]
The relationship between Cheddar cheese consumption and solar power generation may initially appear to be as unrelated as Swiss cheese and a sunny day. However, as our research team delved into this curious correlation, we were determined to separate the whey from the chaff and uncover any potential cheesy revelations. After all, it's not every day that one gets to explore the intersection of dairy products and renewable energy, and we were eager to brieak new ground in this field.
The idea that chowing down on Cheddar could be linked to the amount of solar energy produced in Haiti may seem curd-ulous to some. Still, we approached this study with an open mind, determined to craft a research paper that was both scientific and grate fun. We believe that the pursuit of knowledge need not be bland; in fact, it's wheely more enjoyable when sprinkled with a bit of humor.
Now, before we delve into the cheesy details and shed light on our findings, we must acknowledge the udderly complex nature of this investigation. Our initial hypothesis was met with a fair amount of skepticism – even some gouda-natured eye-rolling – yet we were undeterred in our quest to uncover any meaningful connection between these seemingly unrelated variables.

Did you hear about the cheese factory that exploded in France? There was nothing left but de-brie!

[[RESULTS]]
Upon analyzing the data collected from the USDA and the Energy Information Administration, we uncovered a remarkably strong correlation between Cheddar cheese consumption and solar power generated in Haiti. The correlation coefficient of 0.9851607 indicated a nearly perfect positive linear relationship between these two variables for the period from 2012 to 2021. Additionally, the r-squared value of 0.9705416 suggested that a striking 97.05% of the variability in solar power generation could be explained by the amount of Cheddar cheese consumed. The p-value of less than 0.01 further supported the statistical significance of this correlation, leaving little room for doubt regarding the connection.
Fig. 1 provides a visual representation of the correlation between Cheddar cheese consumption and solar power generated in Haiti (Figure not included). The scatterplot clearly illustrates the strong positive relationship between the two variables, with each data point falling remarkably close to the best-fit line. It's as if the cheese and solar power were simply meant to brie together!
Now, one might wonder how a dairy product and a renewable energy source could be linked in such a robust manner. Well, the answer lies in the data, my friends. This correlation is not just a feta-compli; it's a sharp cheddar-compli! It seems that there's more to this cheesy business than meets the eye.
Our findings bring to mind an old dairy-related joke: Why did the cheese maker go to the art gallery? To see the curd-ated collection! In a similar vein, our study has curated a collection of compelling evidence that underscores the surprising connection between Cheddar cheese consumption and solar power generation in Haiti.
In conclusion, our research has successfully unveiled the unexpected correlation between Cheddar cheese consumption and solar power generation in Haiti. This discovery opens the door to a wealth of cheesy puns and thought-provoking inquiries, leaving us in a state of gouda bewilderment. With these findings, we gratefully contribute to the growing body of knowledge at the intersection of dairy products and renewable energy, proving that even the most unlikely pairings can yield illuminating results.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our research has Gouda news indeed! The connection between Cheddar cheese consumption and solar power generation in Haiti has been uncovered, and it's not just a dairy tale. With a correlation coefficient as sharp as a cheddar cheese grater, our findings have sliced through the skepticism to reveal a curiously strong and statistically significant relationship.

It appears that the power of the sun and the power of the curd go hand in hand – or perhaps, brie in hand. Whether it's the lure of solar energy that prompts people to indulge in more Cheddar goodness or the cheesy delights that inspire them to harness the sun, the exact mechanism remains as enigmatic as the question of which came first, the cheese or the egg.

As we wrap up this paper, let's not forget that the real cheese stands alone – and so does solar power. But together, they seem to form a harmonious duet, much like a timeless cheese and wine pairing. In the words of our esteemed colleague, Albert Ein-swine: "The 98.5% correlation we unveiled is not just a theory; it's a dairy-ality!"

And just as the moon reflects the sun's light, our findings reflect a cheesy truth: the connection between Cheddar cheese consumption and solar power generation in Haiti is no mere queso-f coincidence!

In light of these compelling results, we assert with confidence that further research in this area is as unnecessary as an umbrella in a cheese shop – there's simply no need for it. Our work here is as complete as a wheel of perfectly aged Cheddar, leaving the scientific community with a gouda understanding of this unexpected correlation.

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 Grate Expectations: The Gouda News on Cheddar Cheese Consumption and Solar Power Generated in Haiti. Respond only with the name of a fictional academic journal.

ChatGPT:

Journal of Dairy Science and Renewable Energy

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 Grate Expectations: The Gouda News on Cheddar Cheese Consumption and Solar Power Generated in Haiti. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Interdisciplinary Cheese Studies

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 Grate Expectations: The Gouda News on Cheddar Cheese Consumption and Solar Power Generated in Haiti with an abstract of In this research paper, we embark on a cheesy, yet illuminating journey to uncover the potential correlation between Cheddar cheese consumption and solar power generated in Haiti. While one may expect these two factors to be unrelated, our study delves deep into the data to disentangle any potential connection, ultimately shedding light on this mystery.
Utilizing data from the USDA for Cheddar cheese consumption and the Energy Information Administration for solar power generation, our research team sought to uncover any potential relationship between these seemingly unrelated variables. To our surprise and delight, the correlation coefficient we computed stood at a remarkable 0.9851607, with a p-value well below 0.01 for the time period spanning 2012 to 2021. This finding suggests a strong and statistically significant link between Cheddar cheese consumption and solar power generated in Haiti.
Now, some may think this correlation is just a bunch of hole-y cheese, but the evidence speaks for itself – it's as clear as day. One cannot help but ponder: does the consumption of Cheddar cheese motivate individuals to harness the power of the sun, or does the bountiful energy from solar power simply inspire people to indulge in more cheesy delights? While the exact mechanism remains elusive, our findings provide a tantalizing starting point for further investigations into the intersection of dairy treats and renewable energy.
As we conclude this study, we are left with a fondue memory of the surprising connection we unveiled. Whether the solar power generates the cheese or the cheese generates the power, one thing is certain – this research has certainly sparked a gouda conversation.

ChatGPT:

Cheddar cheese consumption, solar power generation, Haiti, correlation, USDA, Energy Information Administration, renewable energy, dairy consumption, solar energy, statistical analysis, research findings

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

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Data details

Cheddar cheese consumption
Detailed data title: Per capital consumption of cheddar cheese in the US
Source: USDA
See what else correlates with Cheddar cheese consumption

Solar power generated in Haiti
Detailed data title: Total solar power generated in Haiti in billion kWh
Source: Energy Information Administration
See what else correlates with Solar power generated in Haiti

Correlation r = 0.9851607 (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 = 0.9705416 (Coefficient of determination)
This means 97.1% of the change in the one variable (i.e., Solar power generated in Haiti) is predictable based on the change in the other (i.e., Cheddar cheese consumption) over the 10 years from 2012 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 2.08E-7.^Show 0.0000002083916093376392600000
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 0.99 in 2.08E-5% of random cases. Said differently, if you correlated 4,798,658 random variables^Note You don't actually need 4 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 9 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 9 because we have two variables measured over a period of 10 years. It's just the number of years minus ( the number of variables minus one ), which in this case simplifies to the number of years minus one.
you would randomly expect to find a correlation as strong as this one.

[ 0.94, 1 ] 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.

	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021
Cheddar cheese consumption (Pounds)	9.59326	9.64526	9.85696	10.176	10.4024	11.0865	11.2123	11.1567	11.1287	11.4113
Solar power generated in Haiti (Billion kWh)	0.0009	0.0009	0.0009	0.002	0.002	0.003	0.003	0.003	0.003	0.00366

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([9.59326,9.64526,9.85696,10.176,10.4024,11.0865,11.2123,11.1567,11.1287,11.4113,])
array_2 = np.array([0.0009,0.0009,0.0009,0.002,0.002,0.003,0.003,0.003,0.003,0.00366,])
array_1_name = "Cheddar cheese consumption"
array_2_name = "Solar power generated in Haiti"

# 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 Cheddar cheese consumption
Line chart for only Solar power generated in Haiti
AI-generated correlation image
The spurious research paper: Grate Expectations: The Gouda News on Cheddar Cheese Consumption and Solar Power Generated in Haiti

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Correlation ID: 5904 · Black Variable ID: 661 · Red Variable ID: 23718


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