Spurious correlation #2,845 · 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 US edible fishery product imports. The chart goes from 2005 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 US edible fishery product imports. The chart goes from 2005 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 demand for cheesy fish filet sandwiches, leading to a surge in imports of deliciously breaded and fried fish from around the world. It's a gouda thing for the fishery industry, as they're reeling in the cheddar and making a splash with these fin-tastic imports. It's an unexpected twist in the sea of culinary trends, but hey, who can resist a taste of that grate American cheese with a side of fish-nomenal flavor? Whether it's for the halibut or just for the love of a good old-fashioned melt, one thing's for sure – this dairy delight is causing quite a stir in the deep blue sea of seafood imports!

^{Show image generation prompt} Model: dalle-3
Prompt: Generate an image inspired by the style of Brutalism, featuring a bustling American kitchen scene where people enjoy grilled cheese sandwiches and indulge in gooey macaroni and cheese. Nearby, in an ocean, fish are seen swimming and looking longingly at the glowing neon sign of the US, hoping to become the main focus of American culinary delights. However, despite their efforts, they seem to be overshadowed by the overwhelming presence of cheesy dishes, causing them to feel like they just can't compete with all that cheddar and gouda. 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 US edible fishery product imports. 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: Cutsy graphics Cubism 3D Pixar Style Brutalism Whimsical illustration
ChatGPT: Brutalism

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 US edible fishery product imports, in the following situation: As more Americans indulged in cheesy dishes, fish became jelly (fish jelly, get it?) of the attention and swam their way into the US in hopes of becoming the new top crustacean. It's a reel-y cheesy situation, but it seems fish just couldn't handle being second fiddle to all that gouda and cheddar!. Keep the description simple.
ChatGPT: In a bustling American kitchen, people are seen enjoying delicious grilled cheese sandwiches and indulging in gooey macaroni and cheese. However, in a nearby ocean, fish are swimming while looking longingly at the glowing neon sign of the US, hoping to become the main focus of American culinary delights. Despite their efforts, they seem to be overshadowed by the overwhelming presence of cheesy dishes, causing them to feel like they just can't compete with all that cheddar and gouda.

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: [ Brutalism ] and depicting this scene: In a bustling American kitchen, people are seen enjoying delicious grilled cheese sandwiches and indulging in gooey macaroni and cheese. However, in a nearby ocean, fish are swimming while looking longingly at the glowing neon sign of the US, hoping to become the main focus of American culinary delights. Despite their efforts, they seem to be overshadowed by the overwhelming presence of cheesy dishes, causing them to feel like they just can't compete with all that cheddar and gouda. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image inspired by the style of Brutalism, featuring a bustling American kitchen scene where people enjoy grilled cheese sandwiches and indulge in gooey macaroni and cheese. Nearby, in an ocean, fish are seen swimming and looking longingly at the glowing neon sign of the US, hoping to become the main focus of American culinary delights. However, despite their efforts, they seem to be overshadowed by the overwhelming presence of cheesy dishes, causing them to feel like they just can't compete with all that cheddar and gouda.

*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 US edible fishery product imports to increase. Make it feel plausible.

AI academic paper

(Because p < 0.01)

The Big Cheese: A Gouda Connection Between American Cheese Consumption and US Edible Fishery Product Imports

International Journal of Dairy Delights

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 US edible fishery product imports. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.

Make up the lorem and ipsum part, but make it sound related to the topic at hand.

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name a couple popular internet memes that are related to one of the topics.

Here is the title and abstract of the paper:
[[TITLE]]
"The Big Cheese: A Gouda Connection Between American Cheese Consumption and US Edible Fishery Product Imports"

[[ABSTRACT]]
In this study, we conducted a thorough investigation into the seemingly unrelated realms of American cheese consumption and US edible fishery product imports. Despite the initial skepticism surrounding this inquiry, our findings revealed a striking correlation between the two variables, making it clear that there is more than meets the eye in the world of consumption patterns. Utilizing comprehensive data from the USDA and Statista, we analyzed trends from 2005 to 2021 and identified a correlation coefficient of 0.9462236 with a statistically significant p-value of less than 0.01. Our results suggest a potential interplay between cheese cravings and seafood preferences, shedding light on the intricate web of culinary choices. This study not only unravels the cheesy enigma but also offers a tantalizing glimpse into the deep waters of gastronomic economics.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
Cheese and fish may not seem like the most obvious pair, like a duet between a goat and a trout, but the interwoven story of American cheese consumption and US edible fishery product imports has sparked our curiosity. As they say, there's no use crying over spilled milk, but we're here to say there's definitely use in analyzing the cheese that goes with that milk and the fish that swims in the same seas.
The proverbial aroma surrounding this topic had us initially feeling like a fish out of water – unsure where to cast our net in the vast ocean of food consumption patterns. However, through rigorous data analysis and a slice of luck, we stumbled upon some intriguing findings. Our quest led us to delve into the sea of cheese and navigate the turbulent waters of fish imports, ultimately uncovering a connection that is nothing short of cheddarly delightful.
While it may sound fishy at first, our examination of these seemingly unrelated dimensions of culinary commerce has unearthed a catch that is more than just a red herring. From the perspective of economic gastronomy, our study aims to dive into the depths of these consumption trends and fish out the underlying associations, without getting too lost in a sea of puns - though it may be a real challenge, as we are already in deep water. Let's dip our toes into the creamy depths of American cheese consumption and the tasty tides of US edible fishery product imports, and see what surprises await beneath the surface of these seemingly unrelated domains.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

Smith and Doe (2008) examined the intriguing intersection of American food consumption habits and their impact on domestic and international trade. Their meticulous analysis of cheese consumption patterns shed light on the sociocultural factors influencing consumer choices, providing a solid foundational understanding of the cheese-centric landscape. Meanwhile, Jones et al. (2015) investigated the economic implications of US edible fishery product imports, offering a comprehensive overview of the market dynamics and trade relationships in the seafood industry.

Furthermore, "The Big Cheese: A Comprehensive Guide to Dairy Delights" by Dairy Enthusiast Association delved into the multifaceted world of cheese, covering a wide array of cheese-related topics from production methods to gastronomic pairings. "Fishy Business: Exploring the Depths of Edible Aquatic Products" by Aquatic Cuisine Society provided an in-depth exploration of the global seafood trade, examining the intricacies of fishery products and their journey from ocean to table.

On a slightly less serious note, the fictional works "The Catcher in the Rye" by J.D. Salinger and "The Old Man and the Sea" by Ernest Hemingway may not directly address the subject matter at hand, but the thematic relevance of fish and the sea cannot be overlooked. In the virtual realm, the pervasive internet meme featuring the popular phrase "I can has cheezburger?" serves as a playful reminder of the omnipresence of cheese-related discourse in contemporary online culture.

As we navigate through the sea of literature on American cheese consumption and US edible fishery product imports, it becomes increasingly apparent that the connections between these seemingly disparate domains are as rich and varied as the flavors of a well-aged cheddar. So, let us reel in our preconceptions and cast a wide net as we plunge into the depths of this delectable and unexpected correlation.

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 US edible fishery product imports. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from USDA and Statista . You used data from 2005 to 2021

Make up the research methods you don't know. Make them a bit goofy and convoluted.

Here is the title, abstract, and introduction of the paper:
[[TITLE]]
"The Big Cheese: A Gouda Connection Between American Cheese Consumption and US Edible Fishery Product Imports"

[[ABSTRACT]]
In this study, we conducted a thorough investigation into the seemingly unrelated realms of American cheese consumption and US edible fishery product imports. Despite the initial skepticism surrounding this inquiry, our findings revealed a striking correlation between the two variables, making it clear that there is more than meets the eye in the world of consumption patterns. Utilizing comprehensive data from the USDA and Statista, we analyzed trends from 2005 to 2021 and identified a correlation coefficient of 0.9462236 with a statistically significant p-value of less than 0.01. Our results suggest a potential interplay between cheese cravings and seafood preferences, shedding light on the intricate web of culinary choices. This study not only unravels the cheesy enigma but also offers a tantalizing glimpse into the deep waters of gastronomic economics.

[[INTRODUCTION]]
Cheese and fish may not seem like the most obvious pair, like a duet between a goat and a trout, but the interwoven story of American cheese consumption and US edible fishery product imports has sparked our curiosity. As they say, there's no use crying over spilled milk, but we're here to say there's definitely use in analyzing the cheese that goes with that milk and the fish that swims in the same seas.
The proverbial aroma surrounding this topic had us initially feeling like a fish out of water – unsure where to cast our net in the vast ocean of food consumption patterns. However, through rigorous data analysis and a slice of luck, we stumbled upon some intriguing findings. Our quest led us to delve into the sea of cheese and navigate the turbulent waters of fish imports, ultimately uncovering a connection that is nothing short of cheddarly delightful.
While it may sound fishy at first, our examination of these seemingly unrelated dimensions of culinary commerce has unearthed a catch that is more than just a red herring. From the perspective of economic gastronomy, our study aims to dive into the depths of these consumption trends and fish out the underlying associations, without getting too lost in a sea of puns - though it may be a real challenge, as we are already in deep water. Let's dip our toes into the creamy depths of American cheese consumption and the tasty tides of US edible fishery product imports, and see what surprises await beneath the surface of these seemingly unrelated domains.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

To uncover the mysterious connection between American cheese consumption and US edible fishery product imports, we employed a methodological approach that was as thorough as a school of fish in a feeding frenzy. Our data collection process involved scouring the depths of the internet, trawling through a sea of information from diverse sources. The primary sources of our data were the United States Department of Agriculture (USDA) and Statista, which provided a reliable catch of statistics and trends relating to cheese consumption and fishery product imports from 2005 to 2021.

Our first step was to reel in the data on American cheese consumption, which encompassed various forms of cheese including but not limited to cheddar, mozzarella, and the enigmatic American cheese singles, each with its own quirks and complexities similar to a diverse school of fish. The data from the USDA provided us with a comprehensive view of annual per capita cheese consumption in the United States, allowing us to ensure that we didn't overlook any cheesy details.

In parallel, we dove into the vast ocean of US edible fishery product imports, encompassing a wide array of seafood delicacies hauled in from international waters. This comprehensive dataset, also obtained from the USDA and Statista, equipped us with the net necessary to capture the intricacies of the seafood market, ensuring that we did not let any fishy details slip through our grasp.

Once we had a firm grip on our data haul, we performed a rigorous analysis using statistical methods that were as precise as a skilled angler casting a line. We calculated descriptive statistics to provide a snapshot of the central tendencies and distributions of both American cheese consumption and US edible fishery product imports over the years. Additionally, we employed correlation analysis to assess the potential relationship between these two seemingly disparate variables, ensuring that we didn't fall prey to mere coincidence.

Lastly, to ensure the robustness of our findings, we conducted a sensitivity analysis, analogous to examining the potential impact of changing tides on a fishing expedition. This analysis involved testing our correlation results against different sub-periods within the overall timeframe, guarding against any lurking confounding factors that could have baited us into drawing premature conclusions.

In sum, our methodological approach cast a wide net, reeled in a wealth of data, and then applied the analytical tools necessary to untangle the connection between American cheese consumption and US edible fishery product imports, without getting too tangled in the seaweed of statistical jargon.

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

Please make up the results section of an academic research paper presenting the findings of the connection between American cheese consumption and US edible fishery product imports. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from USDA and Statista .

For the time period 2005 to 2021, you found a correlation 0.9462236, r-squared of 0.8953390, and p < 0.01.

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

Here is the title and abstract of the paper:
[[TITLE]]
"The Big Cheese: A Gouda Connection Between American Cheese Consumption and US Edible Fishery Product Imports"

[[ABSTRACT]]
In this study, we conducted a thorough investigation into the seemingly unrelated realms of American cheese consumption and US edible fishery product imports. Despite the initial skepticism surrounding this inquiry, our findings revealed a striking correlation between the two variables, making it clear that there is more than meets the eye in the world of consumption patterns. Utilizing comprehensive data from the USDA and Statista, we analyzed trends from 2005 to 2021 and identified a correlation coefficient of 0.9462236 with a statistically significant p-value of less than 0.01. Our results suggest a potential interplay between cheese cravings and seafood preferences, shedding light on the intricate web of culinary choices. This study not only unravels the cheesy enigma but also offers a tantalizing glimpse into the deep waters of gastronomic economics.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
Cheese and fish may not seem like the most obvious pair, like a duet between a goat and a trout, but the interwoven story of American cheese consumption and US edible fishery product imports has sparked our curiosity. As they say, there's no use crying over spilled milk, but we're here to say there's definitely use in analyzing the cheese that goes with that milk and the fish that swims in the same seas.
The proverbial aroma surrounding this topic had us initially feeling like a fish out of water – unsure where to cast our net in the vast ocean of food consumption patterns. However, through rigorous data analysis and a slice of luck, we stumbled upon some intriguing findings. Our quest led us to delve into the sea of cheese and navigate the turbulent waters of fish imports, ultimately uncovering a connection that is nothing short of cheddarly delightful.
While it may sound fishy at first, our examination of these seemingly unrelated dimensions of culinary commerce has unearthed a catch that is more than just a red herring. From the perspective of economic gastronomy, our study aims to dive into the depths of these consumption trends and fish out the underlying associations, without getting too lost in a sea of puns - though it may be a real challenge, as we are already in deep water. Let's dip our toes into the creamy depths of American cheese consumption and the tasty tides of US edible fishery product imports, and see what surprises await beneath the surface of these seemingly unrelated domains.

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

The analysis of data from 2005 to 2021 revealed a noteworthy correlation between American cheese consumption and US edible fishery product imports, with a correlation coefficient of 0.9462236. This high correlation suggests a strong relationship between the two seemingly disparate gastronomic phenomena. The r-squared value of 0.8953390 indicates that approximately 89.5% of the variation in US edible fishery product imports can be explained by the variation in American cheese consumption, providing a compelling basis for further exploration.

Interestingly, the scatterplot illustrating this relationship (Fig. 1) resembles a school of fish swimming in a sea of cheese, metaphorically speaking, of course. The visual representation truly drives home the point that there's something fishy about the relationship between these two variables.

The statistical significance is also not to be overlooked, with a p-value of less than 0.01. This indicates that the likelihood of observing such a strong correlation between American cheese consumption and US edible fishery product imports by random chance alone is less than 1%, highlighting the robustness of the association.

These findings challenge the traditional notion of unrelatedness between dairy and seafood, and they open up a world of possibilities for further investigation. The implications of these results are quite profound, suggesting a nuanced interplay between culinary preferences and international trade dynamics. It seems that American cheese consumption and US edible fishery product imports are not just swimming in parallel currents, but are intricately interwoven, much like a well-prepared seafood lasagna.

In conclusion, our study has uncovered a surprising correlation between American cheese consumption and US edible fishery product imports, providing compelling evidence that there is indeed a gouda connection between these two seemingly distinct culinary domains. These results not only add a flavorful dimension to the field of gastronomic economics but also invite further exploration into the intricate tapestry of human consumption choices.

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 US edible fishery product imports. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Limit your response to 500 tokens.

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

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

[[TITLE]]
"The Big Cheese: A Gouda Connection Between American Cheese Consumption and US Edible Fishery Product Imports"

[[ABSTRACT]]
In this study, we conducted a thorough investigation into the seemingly unrelated realms of American cheese consumption and US edible fishery product imports. Despite the initial skepticism surrounding this inquiry, our findings revealed a striking correlation between the two variables, making it clear that there is more than meets the eye in the world of consumption patterns. Utilizing comprehensive data from the USDA and Statista, we analyzed trends from 2005 to 2021 and identified a correlation coefficient of 0.9462236 with a statistically significant p-value of less than 0.01. Our results suggest a potential interplay between cheese cravings and seafood preferences, shedding light on the intricate web of culinary choices. This study not only unravels the cheesy enigma but also offers a tantalizing glimpse into the deep waters of gastronomic economics.

[[LITERATURE REVIEW]]
Smith and Doe (2008) examined the intriguing intersection of American food consumption habits and their impact on domestic and international trade. Their meticulous analysis of cheese consumption patterns shed light on the sociocultural factors influencing consumer choices, providing a solid foundational understanding of the cheese-centric landscape. Meanwhile, Jones et al. (2015) investigated the economic implications of US edible fishery product imports, offering a comprehensive overview of the market dynamics and trade relationships in the seafood industry.
Furthermore, "The Big Cheese: A Comprehensive Guide to Dairy Delights" by Dairy Enthusiast Association delved into the multifaceted world of cheese, covering a wide array of cheese-related topics from production methods to gastronomic pairings. "Fishy Business: Exploring the Depths of Edible Aquatic Products" by Aquatic Cuisine Society provided an in-depth exploration of the global seafood trade, examining the intricacies of fishery products and their journey from ocean to table.
On a slightly less serious note, the fictional works "The Catcher in the Rye" by J.D. Salinger and "The Old Man and the Sea" by Ernest Hemingway may not directly address the subject matter at hand, but the thematic relevance of fish and the sea cannot be overlooked. In the virtual realm, the pervasive internet meme featuring the popular phrase "I can has cheezburger?" serves as a playful reminder of the omnipresence of cheese-related discourse in contemporary online culture.
As we navigate through the sea of literature on American cheese consumption and US edible fishery product imports, it becomes increasingly apparent that the connections between these seemingly disparate domains are as rich and varied as the flavors of a well-aged cheddar. So, let us reel in our preconceptions and cast a wide net as we plunge into the depths of this delectable and unexpected correlation.

[[RESULTS]]
The analysis of data from 2005 to 2021 revealed a noteworthy correlation between American cheese consumption and US edible fishery product imports, with a correlation coefficient of 0.9462236. This high correlation suggests a strong relationship between the two seemingly disparate gastronomic phenomena. The r-squared value of 0.8953390 indicates that approximately 89.5% of the variation in US edible fishery product imports can be explained by the variation in American cheese consumption, providing a compelling basis for further exploration.
Interestingly, the scatterplot illustrating this relationship (Fig. 1) resembles a school of fish swimming in a sea of cheese, metaphorically speaking, of course. The visual representation truly drives home the point that there's something fishy about the relationship between these two variables.
The statistical significance is also not to be overlooked, with a p-value of less than 0.01. This indicates that the likelihood of observing such a strong correlation between American cheese consumption and US edible fishery product imports by random chance alone is less than 1%, highlighting the robustness of the association.
These findings challenge the traditional notion of unrelatedness between dairy and seafood, and they open up a world of possibilities for further investigation. The implications of these results are quite profound, suggesting a nuanced interplay between culinary preferences and international trade dynamics. It seems that American cheese consumption and US edible fishery product imports are not just swimming in parallel currents, but are intricately interwoven, much like a well-prepared seafood lasagna.
In conclusion, our study has uncovered a surprising correlation between American cheese consumption and US edible fishery product imports, providing compelling evidence that there is indeed a gouda connection between these two seemingly distinct culinary domains. These results not only add a flavorful dimension to the field of gastronomic economics but also invite further exploration into the intricate tapestry of human consumption choices.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The findings of this study markedly align with the prior research on American cheese consumption and US edible fishery product imports, affirming the significance of the correlation between these seemingly unrelated variables. Smith and Doe (2008) laid the groundwork for understanding the influence of sociocultural factors on cheese consumption, and our results support their insights by revealing a discernible relationship between cheese cravings and seafood preferences. This suggests that consumers are navigating a complex web of culinary choices, possibly driven by deeper, subconscious desires for surf 'n' turf experiences.

Additionally, the comprehensive overview of the market dynamics in the seafood industry by Jones et al. (2015) has been further elucidated by our findings, as we have identified a strong correlation coefficient between American cheese consumption and US edible fishery product imports. In light of these parallels, one couldn't help but wonder if the phrase "bringing home the bacon" may eventually be updated to "bringing home the brie and the bass," reflecting the evolving culinary landscapes and their impact on international trade dynamics.

As we immerse ourselves in the depth of literature exploring these culinary domains, it becomes increasingly apparent that the connections between American cheese consumption and US edible fishery product imports are as intricate and interwoven as the layers of a decadent cheese soufflé. Our results not only confirm the existence of this unexpected correlation but also offer tantalizing glimpses into the flavorful complexities of human consumption choices.

In conclusion, the findings of this study provide compelling evidence of a gouda connection between American cheese consumption and US edible fishery product imports, unraveling the enigmatic interplay between dairy and seafood in the realm of gastronomic economics. The implications of this research extend far beyond the statistical realm, hinting at the multifaceted tapestry of human culinary cravings, economic interactions, and possibly, the potential for a fish-shaped cheese phenomenon that could revolutionize the culinary 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 US edible fishery product imports. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
"The Big Cheese: A Gouda Connection Between American Cheese Consumption and US Edible Fishery Product Imports"

[[ABSTRACT]]
In this study, we conducted a thorough investigation into the seemingly unrelated realms of American cheese consumption and US edible fishery product imports. Despite the initial skepticism surrounding this inquiry, our findings revealed a striking correlation between the two variables, making it clear that there is more than meets the eye in the world of consumption patterns. Utilizing comprehensive data from the USDA and Statista, we analyzed trends from 2005 to 2021 and identified a correlation coefficient of 0.9462236 with a statistically significant p-value of less than 0.01. Our results suggest a potential interplay between cheese cravings and seafood preferences, shedding light on the intricate web of culinary choices. This study not only unravels the cheesy enigma but also offers a tantalizing glimpse into the deep waters of gastronomic economics.

[[INTRDUCTION]]
Cheese and fish may not seem like the most obvious pair, like a duet between a goat and a trout, but the interwoven story of American cheese consumption and US edible fishery product imports has sparked our curiosity. As they say, there's no use crying over spilled milk, but we're here to say there's definitely use in analyzing the cheese that goes with that milk and the fish that swims in the same seas.
The proverbial aroma surrounding this topic had us initially feeling like a fish out of water – unsure where to cast our net in the vast ocean of food consumption patterns. However, through rigorous data analysis and a slice of luck, we stumbled upon some intriguing findings. Our quest led us to delve into the sea of cheese and navigate the turbulent waters of fish imports, ultimately uncovering a connection that is nothing short of cheddarly delightful.
While it may sound fishy at first, our examination of these seemingly unrelated dimensions of culinary commerce has unearthed a catch that is more than just a red herring. From the perspective of economic gastronomy, our study aims to dive into the depths of these consumption trends and fish out the underlying associations, without getting too lost in a sea of puns - though it may be a real challenge, as we are already in deep water. Let's dip our toes into the creamy depths of American cheese consumption and the tasty tides of US edible fishery product imports, and see what surprises await beneath the surface of these seemingly unrelated domains.

[[RESULTS]]
The analysis of data from 2005 to 2021 revealed a noteworthy correlation between American cheese consumption and US edible fishery product imports, with a correlation coefficient of 0.9462236. This high correlation suggests a strong relationship between the two seemingly disparate gastronomic phenomena. The r-squared value of 0.8953390 indicates that approximately 89.5% of the variation in US edible fishery product imports can be explained by the variation in American cheese consumption, providing a compelling basis for further exploration.
Interestingly, the scatterplot illustrating this relationship (Fig. 1) resembles a school of fish swimming in a sea of cheese, metaphorically speaking, of course. The visual representation truly drives home the point that there's something fishy about the relationship between these two variables.
The statistical significance is also not to be overlooked, with a p-value of less than 0.01. This indicates that the likelihood of observing such a strong correlation between American cheese consumption and US edible fishery product imports by random chance alone is less than 1%, highlighting the robustness of the association.
These findings challenge the traditional notion of unrelatedness between dairy and seafood, and they open up a world of possibilities for further investigation. The implications of these results are quite profound, suggesting a nuanced interplay between culinary preferences and international trade dynamics. It seems that American cheese consumption and US edible fishery product imports are not just swimming in parallel currents, but are intricately interwoven, much like a well-prepared seafood lasagna.
In conclusion, our study has uncovered a surprising correlation between American cheese consumption and US edible fishery product imports, providing compelling evidence that there is indeed a gouda connection between these two seemingly distinct culinary domains. These results not only add a flavorful dimension to the field of gastronomic economics but also invite further exploration into the intricate tapestry of human consumption choices.

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Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our research has not only brie-n light to the connection between American cheese consumption and US edible fishery product imports, but it has also feta-trayed a compelling association between seemingly unrelated culinary domains. This study has shown that there's more than meets the eye when it comes to gastronomic economics, and we've successfully shredded the notion of cheese and seafood being like apples and oranges – more like cheddar and cod, it turns out.

These findings have uncovered a correlation that's as clear as a well-filtered fish stock, and it's sure to be a talking point at both cheese tastings and fish markets alike. The statistically significant relationship between these variables suggests that cheese cravings and seafood preferences may not just be a fluke – they could be swimming in the same waters, so to speak.

The implications of this study reach deep into the culinary sea, hinting at a complex interplay between international trade dynamics and consumer behavior. It's like we've stumbled upon a hidden reef of economic gastronomy, and the potential for further exploration is as vast as the ocean itself. However, much like a perfectly aged Gouda, it seems that this topic has aged gracefully and requires no further research.

In the wise words of Jacques Cousteau, "The sea, once it casts its spell, holds one in its net of wonder forever." And in this case, the sea of American cheese consumption and US edible fishery product imports has certainly cast its spell on our understanding of consumption trends. So, let's sail away from this topic, leaving it to ripen like a fine cheese on a charcuterie board – no more research needed here!

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

ChatGPT:

International Journal of Dairy Delights

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

ChatGPT:

The Society for Dairy Delights and Aquatic Agriculture

Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled The Big Cheese: A Gouda Connection Between American Cheese Consumption and US Edible Fishery Product Imports with an abstract of In this study, we conducted a thorough investigation into the seemingly unrelated realms of American cheese consumption and US edible fishery product imports. Despite the initial skepticism surrounding this inquiry, our findings revealed a striking correlation between the two variables, making it clear that there is more than meets the eye in the world of consumption patterns. Utilizing comprehensive data from the USDA and Statista, we analyzed trends from 2005 to 2021 and identified a correlation coefficient of 0.9462236 with a statistically significant p-value of less than 0.01. Our results suggest a potential interplay between cheese cravings and seafood preferences, shedding light on the intricate web of culinary choices. This study not only unravels the cheesy enigma but also offers a tantalizing glimpse into the deep waters of gastronomic economics.

ChatGPT:

American cheese consumption, US edible fishery product imports, cheese consumption trends, seafood preferences, culinary choices, correlation between cheese and seafood consumption, gastronomic economics, USDA data, Statista analysis, American food consumption patterns

*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

US edible fishery product imports
Source: Statista
See what else correlates with US edible fishery product imports

Correlation r = 0.9462236 (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 = 0.8953390 (Coefficient of determination)
This means 89.5% of the change in the one variable (i.e., US edible fishery product imports) is predictable based on the change in the other (i.e., American cheese consumption) over the 17 years from 2005 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 9.5E-9.^Show 0.0000000094647826636281910000
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 0.95 in 9.5E-7% of random cases. Said differently, if you correlated 105,654,830 random variables^Note You don't actually need 105 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 16 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 16 because we have two variables measured over a period of 17 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.

[ 0.85, 0.98 ] 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.

	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021
American cheese consumption (Pounds per person)	12.649	13.0656	12.7929	13.1306	13.3553	13.3048	13.0392	13.2569	13.3573	13.6656	14.0444	14.3621	15.0901	15.4027	15.5389	15.5	16.1
US edible fishery product imports (Million Tons)	2320120	2449470	2425080	2370480	2341240	2470220	2426510	2441940	2458760	2524390	2602690	2628180	2688190	2763650	2727670	2802740	3094080

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.

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([12.649,13.0656,12.7929,13.1306,13.3553,13.3048,13.0392,13.2569,13.3573,13.6656,14.0444,14.3621,15.0901,15.4027,15.5389,15.5,16.1,])
array_2 = np.array([2320120,2449470,2425080,2370480,2341240,2470220,2426510,2441940,2458760,2524390,2602690,2628180,2688190,2763650,2727670,2802740,3094080,])
array_1_name = "American cheese consumption"
array_2_name = "US edible fishery product imports"

# 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 US edible fishery product imports
AI-generated correlation image
The spurious research paper: The Big Cheese: A Gouda Connection Between American Cheese Consumption and US Edible Fishery Product Imports

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Correlation ID: 2845 · Black Variable ID: 553 · Red Variable ID: 291


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