Spurious correlation #2,483 · 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 Solar power generated in Suriname. The chart goes from 2010 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 Solar power generated in Suriname. The chart goes from 2010 to 2021, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As American cheese consumption increased, so did the level of lactose in the atmosphere. This lactose acted as a catalyst, leading to a dairy strange reaction in Suriname, ultimately generating more solar power. It's a gouda thing the sun and cheese have such a strong connection! Remember, April Fools!

^{Show image generation prompt} Model: dalle-3
Prompt: Create a stunning hyper-realistic image depicting a vibrant meadow in Suriname, where a colossal wedge of American cheese glows softly in the sunlight. This phosphorescent cheese is strategically positioned in front of a row of sleek solar panels, providing a renewable energy source that powers the area. In the background, a group of enthusiastic Americans is seen celebrating the shift towards solar power, showcasing their embrace of sustainable energy. The warm glow of the sun casts a serene ambiance over the entire scene, illuminating the beauty of embracing renewable energy in a colorful and picturesque setting. 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 Solar power generated in Suriname. 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: inspired by bauhaus Woodblock painting Cyberpunk Hyper-realistic Magic realism
ChatGPT: Hyper-realistic

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 Solar power generated in Suriname, in the following situation: The phosphorescent properties of the cheese stimulated the solar panels, creating a 'grate' source of energy. It's also possible that the 'whey' Americans embraced solar power, leading to a 'meltdown' of traditional energy sources. 'Cur'd' with excitement over renewable energy, they 'cheddar'd' the limelight, allowing Suriname to 'brie'the in the benefits.. Keep the description simple.
ChatGPT: In a colorful meadow, a giant wedge of American cheese is placed in front of a row of solar panels in Suriname. The bright yellow cheese glows softly, and its phosphorescent properties power the solar panels, generating a steady stream of renewable energy. In the background, a group of Americans are enthusiastically embracing the idea of solar power, creating a shift away from traditional energy sources. The sun shines down, casting a warm glow over the scene, as everyone celebrates the benefits of embracing renewable energy.

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: [ Hyper-realistic ] and depicting this scene: In a colorful meadow, a giant wedge of American cheese is placed in front of a row of solar panels in Suriname. The bright yellow cheese glows softly, and its phosphorescent properties power the solar panels, generating a steady stream of renewable energy. In the background, a group of Americans are enthusiastically embracing the idea of solar power, creating a shift away from traditional energy sources. The sun shines down, casting a warm glow over the scene, as everyone celebrates the benefits of embracing renewable energy. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Create a stunning hyper-realistic image depicting a vibrant meadow in Suriname, where a colossal wedge of American cheese glows softly in the sunlight. This phosphorescent cheese is strategically positioned in front of a row of sleek solar panels, providing a renewable energy source that powers the area. In the background, a group of enthusiastic Americans is seen celebrating the shift towards solar power, showcasing their embrace of sustainable energy. The warm glow of the sun casts a serene ambiance over the entire scene, illuminating the beauty of embracing renewable energy in a colorful and picturesque setting.

*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 Solar power generated in Suriname to increase.\Make it sound serious until the end.

AI academic paper

(Because p < 0.01)

Cheddar and Solar: Connecting American Cheese Consumption to Solar Power in Suriname

The Journal of Dairy-based Energy Studies

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 Solar power generated in Suriname. 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 you might move on to cartoons and children's shows that you watched for research.

Here is the title and abstract of the paper:
[[TITLE]]
Cheddar and Solar: Connecting American Cheese Consumption to Solar Power in Suriname

[[ABSTRACT]]
In this research paper, we embark on an unusual journey to explore the fascinating link between American cheese consumption and solar power generation in the small South American country of Suriname. Our study analyzes the data obtained from the United States Department of Agriculture (USDA) and the Energy Information Administration to unravel the ostensibly unrelated phenomena.

With a combination of meticulous statistical analysis and a good deal of cheesy humor, we present compelling evidence of a surprising correlation coefficient of 0.9657423 and a p-value less than 0.01 over the period spanning from 2010 to 2021. It seems that Gouda news is on the horizon – our findings provide a gouda indication of a positive association between the per capita consumption of American cheese in the United States and the solar power generated in Suriname.

While some may find this connection as "grate" as a well-aged Parmesan, our research team is committed to shedding light on these unexpected relationships. Our findings might lead to a new wave of energy strategies – and perhaps a surge in cheese consumption – based on the interconnectedness of seemingly unrelated phenomena.

We invite our esteemed fellow researchers to approach this "cheesy" intersection of food and energy with an open mind and a sense of curiosity. After all, in the world of research, every "muenster" leads to discovery, and this study is no exception. So, let's embrace the potential of solar power and the deliciousness of American cheese with the fervor of a pun-loving dad at a backyard barbecue.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]

What do you get when you cross American cheese with solar power in Suriname? No, it's not a bad joke - it's the intriguing subject of our research paper! In the following pages, we delve into the unexpected link between American cheese consumption and solar power generation in Suriname, aiming to enlighten the scientific community about this quirky correlation.
As we embark on this curious scientific escapade, our goal is to cheddar some light on the potential connection between these two seemingly unrelated variables. The journey may seem a little "cheesy," but don't be too quick to roll your eyes - there's feta be more to this correlation than meets the eye!
The beauty of scientific inquiry lies in its ability to uncover unexpected relationships, much like stumbling upon a hidden slice of gouda in the back of the fridge. Our investigation muensters a fresh perspective and seeks to prove that there's more to this correlation than meets the eye, so let's not swiss the opportunity to explore this unconventional connection.
While some may find the premise of our study "gouda" be a stretch, we assure you that we are not just "grating" our own cheese here. Armed with statistical analysis sharper than a well-aged cheddar, we aim to prove that the correlation between American cheese consumption and solar power generation in Suriname is no mere coincidence.
In the spirit of scientific inquiry and a good dad joke, let's embrace this unusual intersection of food and energy with open arms and a sense of curiosity. After all, in the world of research, every "muenster" leads to discovery, and this study is no exception. So, without further "provolone," let's dive into the intriguing connection between cheddar and solar power in Suriname.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

At first glance, the connection between American cheese consumption and solar power generation in Suriname may seem as unrelated as a donkey at a cheese tasting. However, as we dig into the existing literature, we begin to uncover surprising insights that may prompt us to rethink our assumptions about these seemingly incongruous topics.

In "Cheeseology: The Science of Fromage" by Smith, the authors find that the consumption of American cheese has been a subject of much scholarly debate. Many have argued that American cheese is a staple of the diet in the United States, while others have criticized its nutritional value, prompting us to question if all cheese puns are just too cheesy.

Doe's study, "The Solar and the Furious: Exploring Energy Solutions in Suriname," sheds light on the increasing importance of solar power generation in Suriname's quest for sustainable energy sources. The authors emphasize the potential benefits of harnessing solar energy in a country blessed with abundant sunshine year-round, further illuminating the premise of our study with the brilliance of a thousand suns.

Jones, in "Fromage to Kilowatts: Unraveling Unlikely Connections," explores the intricate link between food consumption and energy production, paving the whey for our own investigation into the seemingly random correlation between American cheese and solar power generation in Suriname.

In the realm of non-fiction literature, "Cheese: A Global History" by Andrew Dalby and "Solar Power: The Ultimate Guide to Solar Energy" by Andrew Riley offer valuable insights into the historical significance and technological advancements related to cheese production and solar power, respectively. One cannot help but wonder if the authors of these books ever dreamed of their works being connected in a literature review about Suriname and cheese consumption.

Turning to fiction, the whimsical world of "Cheese Monkeys" by Chip Kidd and "Solar" by Ian McEwan invites us to contemplate the creative possibilities of combining cheese-themed graphic design and the complexities of human relationships in the pursuit of sustainable energy sources.

Delving further into pop culture references, the frolicking adventures of Wallace and Gromit in "A Grand Day Out" and "The Wrong Trousers" provide a light-hearted perspective on cheese obsession and humorous escapades involving contraptions that may or may not be powered by solar energy. It's a Gouda idea to investigate such sources to enhance our understanding of the crossroads of American cheese and solar power in Suriname.

As we wade through this "cheddar" of literature, we are reminded that the pursuit of knowledge can be as appetizing as a cheese platter at a wine tasting event. So, let's embrace the quirky connections and unexpected intersections, just like a pun-loving dad at a backyard barbecue, ready to sprinkle some laughter alongside the scientific inquiry.

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 Solar power generated in Suriname. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from USDA and Energy Information Administration . You used data from 2010 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]]
Cheddar and Solar: Connecting American Cheese Consumption to Solar Power in Suriname

[[ABSTRACT]]
In this research paper, we embark on an unusual journey to explore the fascinating link between American cheese consumption and solar power generation in the small South American country of Suriname. Our study analyzes the data obtained from the United States Department of Agriculture (USDA) and the Energy Information Administration to unravel the ostensibly unrelated phenomena.

With a combination of meticulous statistical analysis and a good deal of cheesy humor, we present compelling evidence of a surprising correlation coefficient of 0.9657423 and a p-value less than 0.01 over the period spanning from 2010 to 2021. It seems that Gouda news is on the horizon – our findings provide a gouda indication of a positive association between the per capita consumption of American cheese in the United States and the solar power generated in Suriname.

While some may find this connection as "grate" as a well-aged Parmesan, our research team is committed to shedding light on these unexpected relationships. Our findings might lead to a new wave of energy strategies – and perhaps a surge in cheese consumption – based on the interconnectedness of seemingly unrelated phenomena.

We invite our esteemed fellow researchers to approach this "cheesy" intersection of food and energy with an open mind and a sense of curiosity. After all, in the world of research, every "muenster" leads to discovery, and this study is no exception. So, let's embrace the potential of solar power and the deliciousness of American cheese with the fervor of a pun-loving dad at a backyard barbecue.

[[INTRODUCTION]]

What do you get when you cross American cheese with solar power in Suriname? No, it's not a bad joke - it's the intriguing subject of our research paper! In the following pages, we delve into the unexpected link between American cheese consumption and solar power generation in Suriname, aiming to enlighten the scientific community about this quirky correlation.
As we embark on this curious scientific escapade, our goal is to cheddar some light on the potential connection between these two seemingly unrelated variables. The journey may seem a little "cheesy," but don't be too quick to roll your eyes - there's feta be more to this correlation than meets the eye!
The beauty of scientific inquiry lies in its ability to uncover unexpected relationships, much like stumbling upon a hidden slice of gouda in the back of the fridge. Our investigation muensters a fresh perspective and seeks to prove that there's more to this correlation than meets the eye, so let's not swiss the opportunity to explore this unconventional connection.
While some may find the premise of our study "gouda" be a stretch, we assure you that we are not just "grating" our own cheese here. Armed with statistical analysis sharper than a well-aged cheddar, we aim to prove that the correlation between American cheese consumption and solar power generation in Suriname is no mere coincidence.
In the spirit of scientific inquiry and a good dad joke, let's embrace this unusual intersection of food and energy with open arms and a sense of curiosity. After all, in the world of research, every "muenster" leads to discovery, and this study is no exception. So, without further "provolone," let's dive into the intriguing connection between cheddar and solar power in Suriname.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

To unearth the intriguing connection between American cheese consumption and solar power generation in Suriname, our research team employed a blend of rigorous statistical analysis, a sprinkle of absurdity, and just a dash of scientific mischief. Our approach was as unique as finding a perfectly grilled cheese sandwich at a solar energy expo – unexpected, yet surprisingly satisfying.

Before diving into the methodological details, let's take a moment to appreciate that conducting research is like crafting the perfect cheese platter – it requires a careful selection of methods, a discerning palate for data, and a hint of creativity for that extra zest. With that cheesy metaphor in mind, let's Gouda through our data collection and analysis process with just the right amount of scientific flair.

Data Collection:
Our journey into the realm of cheese and solar power began with the collection of comprehensive data from authoritative sources including the United States Department of Agriculture (USDA) and the Energy Information Administration. We meticulously gathered information encompassing the years 2010 to 2021, ensuring that our dataset aged as gracefully as a fine piece of aged cheddar.

Now, onto the research methods. Using the USDA and Energy Information Administration data, our team sifted through terabytes of information, akin to excavating through layers of a multi-layer cheese dip at a potluck party. We then meticulously selected relevant variables such as American cheese consumption per capita in the United States and solar power generation in Suriname, ensuring that our choices were as sharp as a well-aged Parmesan - and just as palatable.

Statistical Analysis:
With data in hand, we subjected it to a rigorous statistical analysis that would make even the most seasoned cheese aficionado proud. Our analysis involved employing sophisticated statistical software, leaving no room for "loafing" around in the face of complex data relationships. We opted for correlation analysis, leveraging the power of Pearson's r to decipher the degree of association between American cheese consumption in the United States and solar power generation in Suriname.

It may sound "cheesy," but we seasoned our statistical analysis with a good measure of humor and an unyielding commitment to uncovering the unexpected. Our statistical approach was robust, aiming to "gouda" every ounce of insight from the data while maintaining a sense of scientific playfulness that could make even the most stoic researcher crack a smile.

Correlation Coefficient Calculation:
The heart of our analysis revolved around calculating the correlation coefficient between American cheese consumption and solar power generation. With the precision of a cheesemonger slicing through a delicately aged wheel of Gouda, we computed the Pearson correlation coefficient to measure the strength and direction of the linear relationship between these seemingly disparate variables.

In a manner as precise as measuring the perfect cheese-to-cracker ratio, we derived a correlation coefficient of 0.9657423, signifying a remarkably strong positive association between American cheese consumption and solar power generation in Suriname. This finding might seem as surprising as finding the last slice of cheddar at the back of the fridge, but our statistical analysis left no room for doubt – the connection is as real as Swiss cheese.

P-value Determination:
Of course, no statistical journey is complete without scrutinizing the elusive p-value. We subjected the correlation between American cheese consumption and solar power generation to a rigorous p-value test, ensuring that our findings were as robust as a well-structured cheese soufflé. Lo and behold, our p-value emerged at less than 0.01, reinforcing the significance of the association and providing a strong foundation for the Gouda news we are about to unveil.

In a world where unexpected connections abound, our statistical analysis has proven that the relationship between American cheese consumption and solar power generation in Suriname is not just a "brie-lief." Armed with data and an unyielding dedication to scientific inquiry, our study has shredded conventional wisdom and cheddar light on a correlation that may hold profound implications for the realms of food and energy.

Now, having navigated this cheesy statistical maze, we invite our fellow researchers to embrace the "gouda" in statistical analysis and unravel the unexpected connections that lie beneath the surface. After all, in the world of research, every "muenster" of analysis leads to discovery, and our findings are no exception. Let's celebrate the fusion of scientific inquiry and a good dad joke with the gusto of a cheese-loving scientist at a wine and cheese tasting event.

Stay tuned for our next steps, where we delve into the implications and future directions rooted in our "cheesy" yet compelling findings. So, let's raise a figurative glass of fine wine (and perhaps a slice of Gouda) to the intersection of American cheese and solar power in Suriname – for science and the love of a good laugh! Cheers!

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 Solar power generated in Suriname. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Limit your response to 500 tokens.

Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.

Do not write a conclusion. I will add a conclusion after this.

[[TITLE]]
Cheddar and Solar: Connecting American Cheese Consumption to Solar Power in Suriname

[[ABSTRACT]]
In this research paper, we embark on an unusual journey to explore the fascinating link between American cheese consumption and solar power generation in the small South American country of Suriname. Our study analyzes the data obtained from the United States Department of Agriculture (USDA) and the Energy Information Administration to unravel the ostensibly unrelated phenomena.

With a combination of meticulous statistical analysis and a good deal of cheesy humor, we present compelling evidence of a surprising correlation coefficient of 0.9657423 and a p-value less than 0.01 over the period spanning from 2010 to 2021. It seems that Gouda news is on the horizon – our findings provide a gouda indication of a positive association between the per capita consumption of American cheese in the United States and the solar power generated in Suriname.

While some may find this connection as "grate" as a well-aged Parmesan, our research team is committed to shedding light on these unexpected relationships. Our findings might lead to a new wave of energy strategies – and perhaps a surge in cheese consumption – based on the interconnectedness of seemingly unrelated phenomena.

We invite our esteemed fellow researchers to approach this "cheesy" intersection of food and energy with an open mind and a sense of curiosity. After all, in the world of research, every "muenster" leads to discovery, and this study is no exception. So, let's embrace the potential of solar power and the deliciousness of American cheese with the fervor of a pun-loving dad at a backyard barbecue.

[[LITERATURE REVIEW]]
At first glance, the connection between American cheese consumption and solar power generation in Suriname may seem as unrelated as a donkey at a cheese tasting. However, as we dig into the existing literature, we begin to uncover surprising insights that may prompt us to rethink our assumptions about these seemingly incongruous topics.
In "Cheeseology: The Science of Fromage" by Smith, the authors find that the consumption of American cheese has been a subject of much scholarly debate. Many have argued that American cheese is a staple of the diet in the United States, while others have criticized its nutritional value, prompting us to question if all cheese puns are just too cheesy.
Doe's study, "The Solar and the Furious: Exploring Energy Solutions in Suriname," sheds light on the increasing importance of solar power generation in Suriname's quest for sustainable energy sources. The authors emphasize the potential benefits of harnessing solar energy in a country blessed with abundant sunshine year-round, further illuminating the premise of our study with the brilliance of a thousand suns.
Jones, in "Fromage to Kilowatts: Unraveling Unlikely Connections," explores the intricate link between food consumption and energy production, paving the whey for our own investigation into the seemingly random correlation between American cheese and solar power generation in Suriname.
In the realm of non-fiction literature, "Cheese: A Global History" by Andrew Dalby and "Solar Power: The Ultimate Guide to Solar Energy" by Andrew Riley offer valuable insights into the historical significance and technological advancements related to cheese production and solar power, respectively. One cannot help but wonder if the authors of these books ever dreamed of their works being connected in a literature review about Suriname and cheese consumption.
Turning to fiction, the whimsical world of "Cheese Monkeys" by Chip Kidd and "Solar" by Ian McEwan invites us to contemplate the creative possibilities of combining cheese-themed graphic design and the complexities of human relationships in the pursuit of sustainable energy sources.
Delving further into pop culture references, the frolicking adventures of Wallace and Gromit in "A Grand Day Out" and "The Wrong Trousers" provide a light-hearted perspective on cheese obsession and humorous escapades involving contraptions that may or may not be powered by solar energy. It's a Gouda idea to investigate such sources to enhance our understanding of the crossroads of American cheese and solar power in Suriname.
As we wade through this "cheddar" of literature, we are reminded that the pursuit of knowledge can be as appetizing as a cheese platter at a wine tasting event. So, let's embrace the quirky connections and unexpected intersections, just like a pun-loving dad at a backyard barbecue, ready to sprinkle some laughter alongside the scientific inquiry.

[[RESULTS]]
The results of our study revealed a remarkably strong correlation between American cheese consumption and solar power generated in Suriname over the period of 2010 to 2021. The correlation coefficient of 0.9657423 indicates an incredibly tight relationship between these two seemingly unrelated variables. It appears that much like a good cheese fondue, the consumption of American cheese in the United States and the generation of solar power in Suriname blend together in a harmonious and unexpected manner.
On a related note, did you hear about the cheese factory that exploded in France? There was nothing left but de-brie!
The r-squared value of 0.9326582 further underscores the robustness of the correlation, indicating that a whopping 93.27% of the variability in solar power generated in Suriname can be explained by the per capita American cheese consumption. It's as if the sun has found a new source of energy in the cheesiest corners of American households!
In a related yet tangentially cheesy anecdote, a group of mozzarella and cheddar were playing hide and seek. The mozzarella shouted, "Hey no peeking, I'm camembert!"
The p-value of less than 0.01 provides strong evidence against the null hypothesis that there is no relationship between American cheese consumption and solar power generated in Suriname. This means that the likelihood of observing such a strong correlation purely by chance is about as rare as finding someone who doesn't like cheese – it's simply grate!
Now, turning our attention to Fig. 1, the scatterplot visually encapsulates the impressive correlation we observed. The data points snugly hug a diagonal line, as if hinting at a secret recipe for an energy-efficient cheese soufflé.
Speaking of energy, I tried to make a belt out of watches once, but it was a waist of time...
In summary, our findings provide revelatory insights into the unexpected connection between American cheese consumption and solar power generation in Suriname. This study invites further exploration of unconventional correlations and emphasizes the need to approach scientific inquiry with a sense of curiosity and perhaps a slice of humor.
In the words of a passionate dairy aficionado, "Let's brie open-minded and feta-ciously explore the uncharted territories of food and energy, one gouda discovery at a time!"

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The results of our study unequivocally supported the findings of previous research examining the interplay between American cheese consumption and solar power generation in Suriname. Our research has, in fact, heightened the level of evidence supporting the existence of a strong positive correlation between these seemingly unrelated variables, effectively slicing through any doubt as smoothly as a sharp cheddar.

It's worth noting that the relationship we uncovered is as substantial as a cheese wheel at a wine and cheese party. Just like a sharply aged Gouda, the correlation coefficient we calculated -- approximately 0.9657423 – is undeniably robust, leaving little room for skepticism. This echoes the insights of Smith in "Cheeseology: The Science of Fromage," reinforcing the notion that American cheese consumption is a topic worthy of scholarly attention, and it certainly isn't just a cheesy endeavor.

And speaking of things that aren't just surface-level cheesy, our findings also accentuate the significance of solar power as a sustainable energy source in Suriname, echoing the sentiments expressed by Doe in "The Solar and the Furious: Exploring Energy Solutions in Suriname." The strong correlation coefficient we observed serves as a beacon of hope, much like the sunshine illuminating the photovoltaic panels in Suriname, providing a glowing recommendation for the integration of solar energy solutions.

On the topic of glowing recommendations, our study confirms the implications from previous literature that the linkage between American cheese consumption and solar power generation in Suriname is not just a flight of fancy but a credible avenue for further exploration. The r-squared value approximately 0.9326582 elucidates that a substantial portion of the variability in solar power generated in Suriname is, in fact, accounted for by American cheese consumption. This statistical nugget supports the idea that, much like the moon's gravitational pull on the tides, American cheese wields an unforeseen influence on the energy landscape, perhaps tantamount to a lunar Gruyère.

Now, as we assimilate these findings, it's essential not to lose sight of the broader implications in our pursuit of understanding the idiosyncrasies of interconnected variables. Our study revels in the unexpected correlation between American cheese and solar power, reinforcing the idea that curiosity paired with rigorous statistical inquiry can unfurl genuinely enlightening discoveries, much like unexpectedly stumbling upon a Gouda cheese while spelunking.

In summary, the link between American cheese consumption and solar power generation in Suriname has been unveiled to be signif-curd. Our research presents compelling evidence to embolden further investigation into the unanticipated relationships between food consumption and energy generation, reminding us that science, much like a well-aged cheese, thrives on the unexpected and the delightful. So, let's say cheese and embrace the delightful complexities of our ever-intriguing world!

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 Solar power generated in Suriname. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Cheddar and Solar: Connecting American Cheese Consumption to Solar Power in Suriname

[[ABSTRACT]]
In this research paper, we embark on an unusual journey to explore the fascinating link between American cheese consumption and solar power generation in the small South American country of Suriname. Our study analyzes the data obtained from the United States Department of Agriculture (USDA) and the Energy Information Administration to unravel the ostensibly unrelated phenomena.

With a combination of meticulous statistical analysis and a good deal of cheesy humor, we present compelling evidence of a surprising correlation coefficient of 0.9657423 and a p-value less than 0.01 over the period spanning from 2010 to 2021. It seems that Gouda news is on the horizon – our findings provide a gouda indication of a positive association between the per capita consumption of American cheese in the United States and the solar power generated in Suriname.

While some may find this connection as "grate" as a well-aged Parmesan, our research team is committed to shedding light on these unexpected relationships. Our findings might lead to a new wave of energy strategies – and perhaps a surge in cheese consumption – based on the interconnectedness of seemingly unrelated phenomena.

We invite our esteemed fellow researchers to approach this "cheesy" intersection of food and energy with an open mind and a sense of curiosity. After all, in the world of research, every "muenster" leads to discovery, and this study is no exception. So, let's embrace the potential of solar power and the deliciousness of American cheese with the fervor of a pun-loving dad at a backyard barbecue.

[[INTRDUCTION]]

What do you get when you cross American cheese with solar power in Suriname? No, it's not a bad joke - it's the intriguing subject of our research paper! In the following pages, we delve into the unexpected link between American cheese consumption and solar power generation in Suriname, aiming to enlighten the scientific community about this quirky correlation.
As we embark on this curious scientific escapade, our goal is to cheddar some light on the potential connection between these two seemingly unrelated variables. The journey may seem a little "cheesy," but don't be too quick to roll your eyes - there's feta be more to this correlation than meets the eye!
The beauty of scientific inquiry lies in its ability to uncover unexpected relationships, much like stumbling upon a hidden slice of gouda in the back of the fridge. Our investigation muensters a fresh perspective and seeks to prove that there's more to this correlation than meets the eye, so let's not swiss the opportunity to explore this unconventional connection.
While some may find the premise of our study "gouda" be a stretch, we assure you that we are not just "grating" our own cheese here. Armed with statistical analysis sharper than a well-aged cheddar, we aim to prove that the correlation between American cheese consumption and solar power generation in Suriname is no mere coincidence.
In the spirit of scientific inquiry and a good dad joke, let's embrace this unusual intersection of food and energy with open arms and a sense of curiosity. After all, in the world of research, every "muenster" leads to discovery, and this study is no exception. So, without further "provolone," let's dive into the intriguing connection between cheddar and solar power in Suriname.

[[RESULTS]]
The results of our study revealed a remarkably strong correlation between American cheese consumption and solar power generated in Suriname over the period of 2010 to 2021. The correlation coefficient of 0.9657423 indicates an incredibly tight relationship between these two seemingly unrelated variables. It appears that much like a good cheese fondue, the consumption of American cheese in the United States and the generation of solar power in Suriname blend together in a harmonious and unexpected manner.
On a related note, did you hear about the cheese factory that exploded in France? There was nothing left but de-brie!
The r-squared value of 0.9326582 further underscores the robustness of the correlation, indicating that a whopping 93.27% of the variability in solar power generated in Suriname can be explained by the per capita American cheese consumption. It's as if the sun has found a new source of energy in the cheesiest corners of American households!
In a related yet tangentially cheesy anecdote, a group of mozzarella and cheddar were playing hide and seek. The mozzarella shouted, "Hey no peeking, I'm camembert!"
The p-value of less than 0.01 provides strong evidence against the null hypothesis that there is no relationship between American cheese consumption and solar power generated in Suriname. This means that the likelihood of observing such a strong correlation purely by chance is about as rare as finding someone who doesn't like cheese – it's simply grate!
Now, turning our attention to Fig. 1, the scatterplot visually encapsulates the impressive correlation we observed. The data points snugly hug a diagonal line, as if hinting at a secret recipe for an energy-efficient cheese soufflé.
Speaking of energy, I tried to make a belt out of watches once, but it was a waist of time...
In summary, our findings provide revelatory insights into the unexpected connection between American cheese consumption and solar power generation in Suriname. This study invites further exploration of unconventional correlations and emphasizes the need to approach scientific inquiry with a sense of curiosity and perhaps a slice of humor.
In the words of a passionate dairy aficionado, "Let's brie open-minded and feta-ciously explore the uncharted territories of food and energy, one gouda discovery at a time!"

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our study has shown a striking correlation between American cheese consumption and solar power generation in Suriname, proving that when it comes to energy sources, there's more than one way to brie efficient! The relationship between these seemingly unrelated variables is as strong as the bond between macaroni and cheese – it's simply inseparable.

It's clear that the sun has found a new "whey" of providing power, and our research has "cheddar" some light on this unexpected connection. Much like a slice of Havarti, our findings are sharp and leave a lasting impression. This correlation is not just a "muenster" of chance; it's a Gouda indication of an unexplored avenue in energy studies.

Our results suggest that embracing this cheesy solar power connection could lead to innovative energy strategies – and perhaps a surge in cheese consumption. Picture this: a solar-powered grilled cheese sandwich – now that's a bright idea!

So, based on our findings, we assert that no more research is needed in this area. After all, we've already "em-mental" of surprise and "gouda" evidence to support our findings. It's time to say "sayonara" to further studies on this particular correlation and move on to more pressing matters, like investigating the relationship between Swiss cheese and time travel. Thank you, and remember, when it comes to science, don't be afraid to think "outrageously"!

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 Cheddar and Solar: Connecting American Cheese Consumption to Solar Power in Suriname. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Dairy-based Energy Studies

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 Cheddar and Solar: Connecting American Cheese Consumption to Solar Power in Suriname. Respond only with the name of a fictional organization.

ChatGPT:

The International Dairy and Renewable Energy Consortium

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 Cheddar and Solar: Connecting American Cheese Consumption to Solar Power in Suriname with an abstract of In this research paper, we embark on an unusual journey to explore the fascinating link between American cheese consumption and solar power generation in the small South American country of Suriname. Our study analyzes the data obtained from the United States Department of Agriculture (USDA) and the Energy Information Administration to unravel the ostensibly unrelated phenomena.
With a combination of meticulous statistical analysis and a good deal of cheesy humor, we present compelling evidence of a surprising correlation coefficient of 0.9657423 and a p-value less than 0.01 over the period spanning from 2010 to 2021. It seems that Gouda news is on the horizon – our findings provide a gouda indication of a positive association between the per capita consumption of American cheese in the United States and the solar power generated in Suriname.
While some may find this connection as "grate" as a well-aged Parmesan, our research team is committed to shedding light on these unexpected relationships. Our findings might lead to a new wave of energy strategies – and perhaps a surge in cheese consumption – based on the interconnectedness of seemingly unrelated phenomena.
We invite our esteemed fellow researchers to approach this "cheesy" intersection of food and energy with an open mind and a sense of curiosity. After all, in the world of research, every "muenster" leads to discovery, and this study is no exception. So, let's embrace the potential of solar power and the deliciousness of American cheese with the fervor of a pun-loving dad at a backyard barbecue.

ChatGPT:

American cheese consumption, solar power generation, correlation coefficient, Energy Information Administration, United States Department of Agriculture, Suriname, per capita consumption, Gouda news, Parmesan, interconnectedness, food and energy, research, cheese consumption, solar power, statistical analysis

*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

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

Correlation r = 0.9657423 (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 = 0.9326582 (Coefficient of determination)
This means 93.3% of the change in the one variable (i.e., Solar power generated in Suriname) is predictable based on the change in the other (i.e., American cheese consumption) over the 12 years from 2010 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 3.51E-7.^Show 0.0000003508175789094919000000
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 0.97 in 3.51E-5% of random cases. Said differently, if you correlated 2,850,484 random variables^Note You don't actually need 2 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 11 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 11 because we have two variables measured over a period of 12 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.

[ 0.88, 0.99 ] 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.

	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021
American cheese consumption (Pounds per person)	13.3048	13.0392	13.2569	13.3573	13.6656	14.0444	14.3621	15.0901	15.4027	15.5389	15.5	16.1
Solar power generated in Suriname (Billion kWh)	0.0002	0.0004	0.0009	0.001	0.005	0.009	0.009	0.01	0.012	0.012	0.013	0.01586

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([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([0.0002,0.0004,0.0009,0.001,0.005,0.009,0.009,0.01,0.012,0.012,0.013,0.01586,])
array_1_name = "American cheese consumption"
array_2_name = "Solar power generated in Suriname"

# 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 Solar power generated in Suriname
AI-generated correlation image
The spurious research paper: Cheddar and Solar: Connecting American Cheese Consumption to Solar Power in Suriname

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Correlation ID: 2483 · Black Variable ID: 553 · Red Variable ID: 24006


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