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AI explanation
As American cheese consumption rises, so does the collective gas production from all the cheese-loving consumers. This leads to an unexpected surge in wind power generated in Peru as the gusts of cheese-induced flatulence waft across the continent, turning those turbines with newfound gaseous gusto. It's a truly cutting-edge solution to renewable energy, all thanks to the power of cheese!
Model: dalle-3
Prompt: Generate an image of an American diner with a steampunk twist. In the center, patrons enjoy their meals, while old-fashioned, metallic wind turbines are visible in the background. As the gentle breeze blows through the diner, the scene transitions seamlessly to show the turbines spinning fiercely in the Peruvian landscape. The transition should illustrate the journey of the wind, symbolizing the interconnectedness between the joyous consumption of American cheese and the sustainable energy generation in Peru. The depiction should include only scenes, people, and objects, it should not include text or speech bubbles.
This image generation prompt was also generated by AI, using the following sequence:
Model: gpt-3.5-turbo-1106
System prompt: You select one of a few potential scene descriptors that seems to go along with the variables described. You respond only with the scene descriptions provided and say nothing else.
User prompt: Here are two variables: American cheese consumption and Wind power generated in Peru. 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: High-tech Glitch art Magic realism Pop art Steampunk
ChatGPT: Steampunk
Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both American cheese consumption and Wind power generated in Peru, in the following situation: Because as more Americans ate cheese, they produced more gas, creating a windier atmosphere. This wind then wafted its way down to Peru, powering the wind turbines and increasing wind power generation. So, you could say the power of cheese led to the power of wind in Peru!. Keep the description simple.
ChatGPT: In a bustling American diner, people are happily enjoying slices of American cheese on their burgers and sandwiches. As they eat, a gentle breeze picks up, swirling through the air and eventually traveling all the way to Peru. In Peru, wind turbines spin furiously, generating an abundance of clean and sustainable wind power. The power of cheese has truly led to the power of wind in Peru!
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: [ Steampunk ] and depicting this scene: In a bustling American diner, people are happily enjoying slices of American cheese on their burgers and sandwiches. As they eat, a gentle breeze picks up, swirling through the air and eventually traveling all the way to Peru. In Peru, wind turbines spin furiously, generating an abundance of clean and sustainable wind power. The power of cheese has truly led to the power of wind in Peru! Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of an American diner with a steampunk twist. In the center, patrons enjoy their meals, while old-fashioned, metallic wind turbines are visible in the background. As the gentle breeze blows through the diner, the scene transitions seamlessly to show the turbines spinning fiercely in the Peruvian landscape. The transition should illustrate the journey of the wind, symbolizing the interconnectedness between the joyous consumption of American cheese and the sustainable energy generation in Peru.
*Variations in the User Prompts from chart to chart are just the result of random number generation in Python. I wrote a few arrays of various styles and methods to ask questions to change up the results. Every time this site writes an explanation or generates an image, the script picks from each at random.
I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in American cheese consumption caused Wind power generated in Peru to increase.
AI academic paper
 |
Cheesy Correlations: Connecting American Cheese Consumption with Wind Power in Peru The Journal of International Dairy and Renewable Energy Studies Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You write titles and abstracts of goofy academic research papers.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, and add unexpected twists in your writing.
Please draft the title and abstract of an academic research paper presenting the findings of the connection between American cheese consumption and Wind power generated in Peru. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Make the title an alliteration.
Your research team used data from USDA and Energy Information Administration to assess this nagging question. You found a correlation coefficient of 0.9414959 and p < 0.01 for 1997 to 2021.
Please respond in this format (replace "Lorem ipsum dolor sit" with your title and abstract)
[[TITLE]]
Lorem ipsum dolor sit
[[ABSTRACT]]
Lorem ipsum dolor sit
ChatGPT:
[[TITLE]]
Cheesy Correlations: Connecting American Cheese Consumption with Wind Power in Peru
[[ABSTRACT]]
In this paper, we explore the intriguing link between American cheese consumption and wind power generated in Peru. Utilizing data from the USDA on American cheese consumption and the Energy Information Administration's records of wind power generation in Peru, we embarked on a statistical journey to uncover any potential relationship between these seemingly unrelated variables. Our analysis revealed a striking correlation coefficient of 0.9414959, with a p-value < 0.01, for the time period spanning from 1997 to 2021. This correlation suggests a strong positive association between the per capita consumption of American cheese in the United States and the wind power generated in Peru.
It seems that the winds of change may indeed be blowing a cheesy aroma across the continents! Our findings prompt further investigation, leaving us to ponder whether the consumption of American cheese somehow propels the winds that power turbines in far-off lands. This unexpected connection between cheese consumption and renewable energy generation adds a new dimension to the pursuit of sustainable energy sources. While the precise mechanism behind this correlation remains elusive, this cheesy correlation certainly provides food for thought – and perhaps a slice of humor – for both the academic and dairy enthusiast communities. So, next time you're enjoying a cheese platter, remember: you might just be contributing to the wind power in Peru!
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the introduction section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the introduction section of an academic research paper presenting the findings of the connection between American cheese consumption and Wind power generated in Peru. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Here is the title and abstract of the paper:
[[TITLE]]
Cheesy Correlations: Connecting American Cheese Consumption with Wind Power in Peru
[[ABSTRACT]]
In this paper, we explore the intriguing link between American cheese consumption and wind power generated in Peru. Utilizing data from the USDA on American cheese consumption and the Energy Information Administration's records of wind power generation in Peru, we embarked on a statistical journey to uncover any potential relationship between these seemingly unrelated variables. Our analysis revealed a striking correlation coefficient of 0.9414959, with a p-value < 0.01, for the time period spanning from 1997 to 2021. This correlation suggests a strong positive association between the per capita consumption of American cheese in the United States and the wind power generated in Peru.
It seems that the winds of change may indeed be blowing a cheesy aroma across the continents! Our findings prompt further investigation, leaving us to ponder whether the consumption of American cheese somehow propels the winds that power turbines in far-off lands. This unexpected connection between cheese consumption and renewable energy generation adds a new dimension to the pursuit of sustainable energy sources. While the precise mechanism behind this correlation remains elusive, this cheesy correlation certainly provides food for thought – and perhaps a slice of humor – for both the academic and dairy enthusiast communities. So, next time you're enjoying a cheese platter, remember: you might just be contributing to the wind power in Peru!
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
The pursuit of renewable energy sources has led researchers on a windy and, as it turns out, cheesy path towards uncovering unexpected connections across the globe. Picture this: American cheese consumption, that beloved staple of many a refrigerator, appears to have an unlikely correlation with the wind power generated in Peru. It is quite a gouda surprise, indeed!
As we dive into this curdled conundrum, we aim to unravel the mysteries that lie within the data that connects American cheese consumption in the United States and the wind power generated in Peru. With a cheddar of curiosity and a slice of skepticism, we set out on a quest to investigate this uncanny correlation that has emerged from the depths of statistical analysis.
One might wonder, "What does the humble American cheese have to do with the gusts of wind that power turbines in Peru?" It's quite an en-daír-ing question! Our research aims to shed light on this peculiar relationship and to explore the potential implications for the fields of energy research and dairy consumption. After all, it's not every day that one gets to examine the intersection of dairy products and renewable energy on such a grand scale. This is a study that certainly has plenty of whey-ward potential!
With an aim to reduce the lactose to the speculation and pare down the cheesy puns, let us embark on a journey through the intersections of food consumption and energy production. Be prepared for a brie-lliant adventure through the statistical fields, and perhaps a chuckle or two along the whey. After all, what's research without a little sprinkle of cheesy humor?
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up a literature review section of an academic research paper presenting the findings of the connection between American cheese consumption and Wind power generated in Peru. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.
Make up the lorem and ipsum part, but make it sound related to the topic at hand.
Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name some cartoons and childrens' shows that you watched that are related to the topic.
Here is the title and abstract of the paper:
[[TITLE]]
Cheesy Correlations: Connecting American Cheese Consumption with Wind Power in Peru
[[ABSTRACT]]
In this paper, we explore the intriguing link between American cheese consumption and wind power generated in Peru. Utilizing data from the USDA on American cheese consumption and the Energy Information Administration's records of wind power generation in Peru, we embarked on a statistical journey to uncover any potential relationship between these seemingly unrelated variables. Our analysis revealed a striking correlation coefficient of 0.9414959, with a p-value < 0.01, for the time period spanning from 1997 to 2021. This correlation suggests a strong positive association between the per capita consumption of American cheese in the United States and the wind power generated in Peru.
It seems that the winds of change may indeed be blowing a cheesy aroma across the continents! Our findings prompt further investigation, leaving us to ponder whether the consumption of American cheese somehow propels the winds that power turbines in far-off lands. This unexpected connection between cheese consumption and renewable energy generation adds a new dimension to the pursuit of sustainable energy sources. While the precise mechanism behind this correlation remains elusive, this cheesy correlation certainly provides food for thought – and perhaps a slice of humor – for both the academic and dairy enthusiast communities. So, next time you're enjoying a cheese platter, remember: you might just be contributing to the wind power in Peru!
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The pursuit of renewable energy sources has led researchers on a windy and, as it turns out, cheesy path towards uncovering unexpected connections across the globe. Picture this: American cheese consumption, that beloved staple of many a refrigerator, appears to have an unlikely correlation with the wind power generated in Peru. It is quite a gouda surprise, indeed!
As we dive into this curdled conundrum, we aim to unravel the mysteries that lie within the data that connects American cheese consumption in the United States and the wind power generated in Peru. With a cheddar of curiosity and a slice of skepticism, we set out on a quest to investigate this uncanny correlation that has emerged from the depths of statistical analysis.
One might wonder, "What does the humble American cheese have to do with the gusts of wind that power turbines in Peru?" It's quite an en-daír-ing question! Our research aims to shed light on this peculiar relationship and to explore the potential implications for the fields of energy research and dairy consumption. After all, it's not every day that one gets to examine the intersection of dairy products and renewable energy on such a grand scale. This is a study that certainly has plenty of whey-ward potential!
With an aim to reduce the lactose to the speculation and pare down the cheesy puns, let us embark on a journey through the intersections of food consumption and energy production. Be prepared for a brie-lliant adventure through the statistical fields, and perhaps a chuckle or two along the whey. After all, what's research without a little sprinkle of cheesy humor?
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
The surprising correlation between American cheese consumption and wind power generation in Peru has sparked the curiosity of researchers across various disciplines. Smith et al. (2017) highlighted the need to explore unconventional linkages between food consumption and renewable energy sources, which resonates with our current investigation. Sniffing out this intriguing association has led us down a path that is not just "grate," but also provides some food for thought.
Doe and Jones (2019) also emphasized the significance of uncovering unexpected connections in the realm of sustainable energy, yet the cheese-wind power nexus remains notably absent from their scholarly contributions. Perhaps it's time for them to brie-f up their research scope!
In "Wind of Change: Sustainable Energy in Latin America," the authors address the significant progress in wind power generation in Peru over the past few decades. This source provided valuable context for our analysis, yet it failed to mention any dairy-related influences on wind production. Maybe it's time for the authors to revisit their research and incorporate some cheesy insights for a gouda-rie read!
Moving onto non-fiction publications, "The Wind and the Cheese: Uncovering Unlikely Connections" by Lisa Goudëman offers a whimsical take on the intersection between sustainable energy and dairy products. Despite its playful approach, Goudëman's work draws attention to the untapped potential of cheese as an en-gouda-ble source of inspiration for renewable energy researchers.
In a similar vein, "Cheesy Correlations: A Statistical Exploration" by Tom Feta delves into the world of unexpected statistical relationships, advocating for a more nuanced approach to data analysis. Although Feta's work does not specifically address wind power in Peru, their emphasis on the unexpected aligns closely with our own findings.
On a more fictional note, the classic novel "The Wind in the Cheese" by Kenneth Grahame offers a whimsical take on the mysterious intertwining of gusts and Gouda. While not a direct source for our research, Grahame's imaginative narrative serves as a reminder that unexpected connections can often yield the most fascinating discoveries.
In a parallel world of animations and children's shows, "Cheesy Tales: A Dairy Adventure" and "The Mighty Wind and the Cheesy Churn" from the popular "Cheese-tastic Chronicles" series introduce young audiences to the captivating world of cheese and wind-related escapades. While these may not be scholarly sources, they serve as a reminder that even the seemingly unrelated can come together in a gouda way.
In conclusion, the diverse array of sources consulted underscores the need for further exploration of the surprising correlation between American cheese consumption and wind power generation in Peru. As we embark on this unconventional journey, let us not forget to savor a slice of humor and embrace the unexpected twists that may await us in our quest to unravel this "emmental" mystery. After all, having a cheesy pun or two along the whey might just make the research process a "brie-ze!"
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the methodology section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the methodology section of an academic research paper presenting the findings of the connection between American cheese consumption and Wind power generated in Peru. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Your research team collected data from all across the internet, but mostly just used information from USDA and Energy Information Administration . You used data from 1997 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]]
Cheesy Correlations: Connecting American Cheese Consumption with Wind Power in Peru
[[ABSTRACT]]
In this paper, we explore the intriguing link between American cheese consumption and wind power generated in Peru. Utilizing data from the USDA on American cheese consumption and the Energy Information Administration's records of wind power generation in Peru, we embarked on a statistical journey to uncover any potential relationship between these seemingly unrelated variables. Our analysis revealed a striking correlation coefficient of 0.9414959, with a p-value < 0.01, for the time period spanning from 1997 to 2021. This correlation suggests a strong positive association between the per capita consumption of American cheese in the United States and the wind power generated in Peru.
It seems that the winds of change may indeed be blowing a cheesy aroma across the continents! Our findings prompt further investigation, leaving us to ponder whether the consumption of American cheese somehow propels the winds that power turbines in far-off lands. This unexpected connection between cheese consumption and renewable energy generation adds a new dimension to the pursuit of sustainable energy sources. While the precise mechanism behind this correlation remains elusive, this cheesy correlation certainly provides food for thought – and perhaps a slice of humor – for both the academic and dairy enthusiast communities. So, next time you're enjoying a cheese platter, remember: you might just be contributing to the wind power in Peru!
[[INTRODUCTION]]
The pursuit of renewable energy sources has led researchers on a windy and, as it turns out, cheesy path towards uncovering unexpected connections across the globe. Picture this: American cheese consumption, that beloved staple of many a refrigerator, appears to have an unlikely correlation with the wind power generated in Peru. It is quite a gouda surprise, indeed!
As we dive into this curdled conundrum, we aim to unravel the mysteries that lie within the data that connects American cheese consumption in the United States and the wind power generated in Peru. With a cheddar of curiosity and a slice of skepticism, we set out on a quest to investigate this uncanny correlation that has emerged from the depths of statistical analysis.
One might wonder, "What does the humble American cheese have to do with the gusts of wind that power turbines in Peru?" It's quite an en-daír-ing question! Our research aims to shed light on this peculiar relationship and to explore the potential implications for the fields of energy research and dairy consumption. After all, it's not every day that one gets to examine the intersection of dairy products and renewable energy on such a grand scale. This is a study that certainly has plenty of whey-ward potential!
With an aim to reduce the lactose to the speculation and pare down the cheesy puns, let us embark on a journey through the intersections of food consumption and energy production. Be prepared for a brie-lliant adventure through the statistical fields, and perhaps a chuckle or two along the whey. After all, what's research without a little sprinkle of cheesy humor?
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To delve into the delightfully cheesy and breezy correlation between American cheese consumption and wind power generated in Peru, we employed a methodological approach as versatile and intriguing as a Swiss cheese. Our research team first gathered data from the United States Department of Agriculture (USDA) on American cheese consumption, capturing the annual per capita consumption from 1997 to 2021. Next, we obtained records of wind power generation in Peru from the Energy Information Administration, ensuring a comprehensive scope of information for our analysis.
To align with the lighthearted nature of this research, we employed a statistical technique that could be described as "cheese-to-wind" analysis. This unique approach involved melting down vast amounts of data on American cheese consumption into a fondue of statistical variables. Meanwhile, the wind power generation in Peru was measured using an "airy" methodology that involved harnessing the breezy details from the energy records.
We performed a thorough examination of the data, using a combination of correlation analysis, time series modeling, and multivariate regression techniques. This allowed us to slice through the data and uncover any potential associations between American cheese consumption and wind power generation in Peru. The statistical analyses included examining the yearly trends, seasonality, and potential lag effects between cheese consumption in the United States and wind power generation in Peru.
Now, let's not forget the importance of the 'grate' control measures in our research. We carefully accounted for other potential confounding factors such as economic indicators, technological advancements, and cultural changes that could influence both cheese consumption and wind power generation. This 'ricotta' careful control ensured that our findings were not just full of holes.
In a rather 'gouda' move, we cross-validated our statistical findings through sensitivity analyses and bootstrapping methods, ensuring that the observed correlation between American cheese consumption and wind power generated in Peru was not just a fluke. These analyses allowed us to shred any doubts about the robustness of our results and present a 'feta' complete picture of the relationship.
Amidst all the statistical 'provolone', our analysis 'brielliantly' unveiled a remarkably strong positive correlation between American cheese consumption and wind power generated in Peru. The findings stood out like a 'cheddaring' light in the world of data analysis.
Our methodological approach not only 'camemberted' to the rigor of statistical analysis but also incorporated a 'gorgonzola' of humor and puns to keep the research journey as 'brieliantly' engaging as possible. After all, who said academic inquiries can't be 'brie-lliantly' entertaining?
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the results section of an academic research paper. You speak in the past tense (you found...).
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the results section of an academic research paper presenting the findings of the connection between American cheese consumption and Wind power generated in Peru. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Your research team collected data from all across the internet, but mostly just used information from USDA and Energy Information Administration .
For the time period 1997 to 2021, you found a correlation 0.9414959, r-squared of 0.8864145, 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]]
Cheesy Correlations: Connecting American Cheese Consumption with Wind Power in Peru
[[ABSTRACT]]
In this paper, we explore the intriguing link between American cheese consumption and wind power generated in Peru. Utilizing data from the USDA on American cheese consumption and the Energy Information Administration's records of wind power generation in Peru, we embarked on a statistical journey to uncover any potential relationship between these seemingly unrelated variables. Our analysis revealed a striking correlation coefficient of 0.9414959, with a p-value < 0.01, for the time period spanning from 1997 to 2021. This correlation suggests a strong positive association between the per capita consumption of American cheese in the United States and the wind power generated in Peru.
It seems that the winds of change may indeed be blowing a cheesy aroma across the continents! Our findings prompt further investigation, leaving us to ponder whether the consumption of American cheese somehow propels the winds that power turbines in far-off lands. This unexpected connection between cheese consumption and renewable energy generation adds a new dimension to the pursuit of sustainable energy sources. While the precise mechanism behind this correlation remains elusive, this cheesy correlation certainly provides food for thought – and perhaps a slice of humor – for both the academic and dairy enthusiast communities. So, next time you're enjoying a cheese platter, remember: you might just be contributing to the wind power in Peru!
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
The pursuit of renewable energy sources has led researchers on a windy and, as it turns out, cheesy path towards uncovering unexpected connections across the globe. Picture this: American cheese consumption, that beloved staple of many a refrigerator, appears to have an unlikely correlation with the wind power generated in Peru. It is quite a gouda surprise, indeed!
As we dive into this curdled conundrum, we aim to unravel the mysteries that lie within the data that connects American cheese consumption in the United States and the wind power generated in Peru. With a cheddar of curiosity and a slice of skepticism, we set out on a quest to investigate this uncanny correlation that has emerged from the depths of statistical analysis.
One might wonder, "What does the humble American cheese have to do with the gusts of wind that power turbines in Peru?" It's quite an en-daír-ing question! Our research aims to shed light on this peculiar relationship and to explore the potential implications for the fields of energy research and dairy consumption. After all, it's not every day that one gets to examine the intersection of dairy products and renewable energy on such a grand scale. This is a study that certainly has plenty of whey-ward potential!
With an aim to reduce the lactose to the speculation and pare down the cheesy puns, let us embark on a journey through the intersections of food consumption and energy production. Be prepared for a brie-lliant adventure through the statistical fields, and perhaps a chuckle or two along the whey. After all, what's research without a little sprinkle of cheesy humor?
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The results of our analysis revealed a remarkably high correlation coefficient of 0.9414959 between American cheese consumption in the United States and the wind power generated in Peru for the time period from 1997 to 2021. This strong positive association suggests that as American cheese consumption increased, so did the wind power generated in Peru. It seems the winds of change may indeed be flavored with a hint of American cheese!
Our findings point to a surprising and robust relationship between these two seemingly unrelated variables. Each slice of American cheese consumed appears to be accompanied by a gust of wind in Peru. This correlation is as strong as the aroma of freshly melted cheese on a pizza – undeniable and pervasive.
The scatterplot (Fig. 1) provides a visual representation of this striking correlation, showcasing the tight clustering of data points around the linear trend line. The figure leaves little room for skepticism – the relationship between American cheese consumption and wind power in Peru is as clear as Swiss cheese!
These results offer a spicy jalapeño of insight into the potential intercontinental impact of American cheese consumption on renewable energy generation. It's a gouda reminder that the world of statistics can yield some truly unexpected connections – and some unforgettable puns, too!
In conclusion, our findings underscore the need for further exploration of this cheesy correlation and its implications for sustainable energy research. Perhaps, as the saying goes, it's not just the wind that makes the world go 'round; it's the cheese too!
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the discussion section of an academic research paper presenting the findings of the connection between American cheese consumption and Wind power generated in Peru. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Limit your response to 500 tokens.
Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.
Do not write a conclusion. I will add a conclusion after this.
[[TITLE]]
Cheesy Correlations: Connecting American Cheese Consumption with Wind Power in Peru
[[ABSTRACT]]
In this paper, we explore the intriguing link between American cheese consumption and wind power generated in Peru. Utilizing data from the USDA on American cheese consumption and the Energy Information Administration's records of wind power generation in Peru, we embarked on a statistical journey to uncover any potential relationship between these seemingly unrelated variables. Our analysis revealed a striking correlation coefficient of 0.9414959, with a p-value < 0.01, for the time period spanning from 1997 to 2021. This correlation suggests a strong positive association between the per capita consumption of American cheese in the United States and the wind power generated in Peru.
It seems that the winds of change may indeed be blowing a cheesy aroma across the continents! Our findings prompt further investigation, leaving us to ponder whether the consumption of American cheese somehow propels the winds that power turbines in far-off lands. This unexpected connection between cheese consumption and renewable energy generation adds a new dimension to the pursuit of sustainable energy sources. While the precise mechanism behind this correlation remains elusive, this cheesy correlation certainly provides food for thought – and perhaps a slice of humor – for both the academic and dairy enthusiast communities. So, next time you're enjoying a cheese platter, remember: you might just be contributing to the wind power in Peru!
[[LITERATURE REVIEW]]
The surprising correlation between American cheese consumption and wind power generation in Peru has sparked the curiosity of researchers across various disciplines. Smith et al. (2017) highlighted the need to explore unconventional linkages between food consumption and renewable energy sources, which resonates with our current investigation. Sniffing out this intriguing association has led us down a path that is not just "grate," but also provides some food for thought.
Doe and Jones (2019) also emphasized the significance of uncovering unexpected connections in the realm of sustainable energy, yet the cheese-wind power nexus remains notably absent from their scholarly contributions. Perhaps it's time for them to brie-f up their research scope!
In "Wind of Change: Sustainable Energy in Latin America," the authors address the significant progress in wind power generation in Peru over the past few decades. This source provided valuable context for our analysis, yet it failed to mention any dairy-related influences on wind production. Maybe it's time for the authors to revisit their research and incorporate some cheesy insights for a gouda-rie read!
Moving onto non-fiction publications, "The Wind and the Cheese: Uncovering Unlikely Connections" by Lisa Goudëman offers a whimsical take on the intersection between sustainable energy and dairy products. Despite its playful approach, Goudëman's work draws attention to the untapped potential of cheese as an en-gouda-ble source of inspiration for renewable energy researchers.
In a similar vein, "Cheesy Correlations: A Statistical Exploration" by Tom Feta delves into the world of unexpected statistical relationships, advocating for a more nuanced approach to data analysis. Although Feta's work does not specifically address wind power in Peru, their emphasis on the unexpected aligns closely with our own findings.
On a more fictional note, the classic novel "The Wind in the Cheese" by Kenneth Grahame offers a whimsical take on the mysterious intertwining of gusts and Gouda. While not a direct source for our research, Grahame's imaginative narrative serves as a reminder that unexpected connections can often yield the most fascinating discoveries.
In a parallel world of animations and children's shows, "Cheesy Tales: A Dairy Adventure" and "The Mighty Wind and the Cheesy Churn" from the popular "Cheese-tastic Chronicles" series introduce young audiences to the captivating world of cheese and wind-related escapades. While these may not be scholarly sources, they serve as a reminder that even the seemingly unrelated can come together in a gouda way.
In conclusion, the diverse array of sources consulted underscores the need for further exploration of the surprising correlation between American cheese consumption and wind power generation in Peru. As we embark on this unconventional journey, let us not forget to savor a slice of humor and embrace the unexpected twists that may await us in our quest to unravel this "emmental" mystery. After all, having a cheesy pun or two along the whey might just make the research process a "brie-ze!"
[[RESULTS]]
The results of our analysis revealed a remarkably high correlation coefficient of 0.9414959 between American cheese consumption in the United States and the wind power generated in Peru for the time period from 1997 to 2021. This strong positive association suggests that as American cheese consumption increased, so did the wind power generated in Peru. It seems the winds of change may indeed be flavored with a hint of American cheese!
Our findings point to a surprising and robust relationship between these two seemingly unrelated variables. Each slice of American cheese consumed appears to be accompanied by a gust of wind in Peru. This correlation is as strong as the aroma of freshly melted cheese on a pizza – undeniable and pervasive.
The scatterplot (Fig. 1) provides a visual representation of this striking correlation, showcasing the tight clustering of data points around the linear trend line. The figure leaves little room for skepticism – the relationship between American cheese consumption and wind power in Peru is as clear as Swiss cheese!
These results offer a spicy jalapeño of insight into the potential intercontinental impact of American cheese consumption on renewable energy generation. It's a gouda reminder that the world of statistics can yield some truly unexpected connections – and some unforgettable puns, too!
In conclusion, our findings underscore the need for further exploration of this cheesy correlation and its implications for sustainable energy research. Perhaps, as the saying goes, it's not just the wind that makes the world go 'round; it's the cheese too!
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The correlation coefficient of 0.9414959, with a p-value < 0.01, obtained from our analysis signifies a remarkably strong positive relationship between American cheese consumption and wind power generated in Peru. Our findings not only validate but also amplify the whimsical notion put forward by Goudëman (2015) regarding the untapped potential of cheese as an en-gouda-ble source of inspiration for renewable energy researchers. Perhaps it's time for the scientific community to embrace this cheesy concept without turning too cheddar-cheeked!
The results support the observations of Smith et al. (2017) regarding the importance of exploring unconventional linkages between food consumption and renewable energy sources. It seems that as American cheese consumption curdles, so does the wind power in Peru. This correlation is as undeniable as a cheese pull in a gooey grilled cheese sandwich – it's simply grate!
Our findings also shed light on an interesting aspect of sustainable energy dynamics, echoing the sentiments of "The Wind and the Cheese: Uncovering Unlikely Connections" by Lisa Goudëman in a gouda-rie way. It appears that the unpredictable relationship between cheese consumption and wind power generation adds a layer of complexity to the pursuit of sustainable energy sources, figuratively melting the boundaries of traditional research approaches – pun intended!
The tight clustering of data points around the linear trend line in the scatterplot (Fig. 1) mirrors the cohesive and harmonious convergence of American cheese consumption and wind power in Peru. This visual representation showcases a connection as clear as the distinction between a mild cheddar and an aged parmesan – it's a compelling and visually provolone argument!
In light of these findings, it is evident that the unexpected correlation between American cheese consumption and wind power generation in Peru presents a truly unique avenue for further exploration in the realm of sustainable energy. As our research demonstrates, this unconventional linkage not only has statistical significance but also offers a slice of humor and a breath of fresh air in traditional academic discourse. It appears that the winds of change may indeed carry a hint of American cheesiness to distant lands – a promising prospect for a lighter carbon footprint and a gouda-rie sustainable future!
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the discussion section of goofy academic research papers that sounds like it belongs based on the title and abstract provided.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up a short conclusion of an academic research paper presenting the findings of the connection between American cheese consumption and Wind power generated in Peru. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.
Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Cheesy Correlations: Connecting American Cheese Consumption with Wind Power in Peru
[[ABSTRACT]]
In this paper, we explore the intriguing link between American cheese consumption and wind power generated in Peru. Utilizing data from the USDA on American cheese consumption and the Energy Information Administration's records of wind power generation in Peru, we embarked on a statistical journey to uncover any potential relationship between these seemingly unrelated variables. Our analysis revealed a striking correlation coefficient of 0.9414959, with a p-value < 0.01, for the time period spanning from 1997 to 2021. This correlation suggests a strong positive association between the per capita consumption of American cheese in the United States and the wind power generated in Peru.
It seems that the winds of change may indeed be blowing a cheesy aroma across the continents! Our findings prompt further investigation, leaving us to ponder whether the consumption of American cheese somehow propels the winds that power turbines in far-off lands. This unexpected connection between cheese consumption and renewable energy generation adds a new dimension to the pursuit of sustainable energy sources. While the precise mechanism behind this correlation remains elusive, this cheesy correlation certainly provides food for thought – and perhaps a slice of humor – for both the academic and dairy enthusiast communities. So, next time you're enjoying a cheese platter, remember: you might just be contributing to the wind power in Peru!
[[INTRDUCTION]]
The pursuit of renewable energy sources has led researchers on a windy and, as it turns out, cheesy path towards uncovering unexpected connections across the globe. Picture this: American cheese consumption, that beloved staple of many a refrigerator, appears to have an unlikely correlation with the wind power generated in Peru. It is quite a gouda surprise, indeed!
As we dive into this curdled conundrum, we aim to unravel the mysteries that lie within the data that connects American cheese consumption in the United States and the wind power generated in Peru. With a cheddar of curiosity and a slice of skepticism, we set out on a quest to investigate this uncanny correlation that has emerged from the depths of statistical analysis.
One might wonder, "What does the humble American cheese have to do with the gusts of wind that power turbines in Peru?" It's quite an en-daír-ing question! Our research aims to shed light on this peculiar relationship and to explore the potential implications for the fields of energy research and dairy consumption. After all, it's not every day that one gets to examine the intersection of dairy products and renewable energy on such a grand scale. This is a study that certainly has plenty of whey-ward potential!
With an aim to reduce the lactose to the speculation and pare down the cheesy puns, let us embark on a journey through the intersections of food consumption and energy production. Be prepared for a brie-lliant adventure through the statistical fields, and perhaps a chuckle or two along the whey. After all, what's research without a little sprinkle of cheesy humor?
[[RESULTS]]
The results of our analysis revealed a remarkably high correlation coefficient of 0.9414959 between American cheese consumption in the United States and the wind power generated in Peru for the time period from 1997 to 2021. This strong positive association suggests that as American cheese consumption increased, so did the wind power generated in Peru. It seems the winds of change may indeed be flavored with a hint of American cheese!
Our findings point to a surprising and robust relationship between these two seemingly unrelated variables. Each slice of American cheese consumed appears to be accompanied by a gust of wind in Peru. This correlation is as strong as the aroma of freshly melted cheese on a pizza – undeniable and pervasive.
The scatterplot (Fig. 1) provides a visual representation of this striking correlation, showcasing the tight clustering of data points around the linear trend line. The figure leaves little room for skepticism – the relationship between American cheese consumption and wind power in Peru is as clear as Swiss cheese!
These results offer a spicy jalapeño of insight into the potential intercontinental impact of American cheese consumption on renewable energy generation. It's a gouda reminder that the world of statistics can yield some truly unexpected connections – and some unforgettable puns, too!
In conclusion, our findings underscore the need for further exploration of this cheesy correlation and its implications for sustainable energy research. Perhaps, as the saying goes, it's not just the wind that makes the world go 'round; it's the cheese too!
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, our study has uncovered a remarkably strong and robust correlation between American cheese consumption and wind power generated in Peru. It appears that as American cheese consumption increased, so did the wind power generated in Peru, providing a whole new meaning to the phrase "cheesy wind." It seems that the winds of change may indeed be flavored with a hint of American cheese – talk about an unexpected gustatory and gale-force connection!
Our findings shed light on an intriguing intersection between dairy consumption and renewable energy production, offering a gouda reminder that statistical analysis can lead to unexpected and pun-tastic discoveries. The tight clustering of data points around the linear trend line in our scatterplot (Fig. 1) leaves little room for skepticism – the correlation is as clear as the holes in a slice of Swiss cheese!
This study opens the door to a new area of research, full of potential cheesy puns and unexpected connections. It may leave some scratching their heads, but we hope it also elicits a few chuckles and plenty of food for thought – or should we say, "food for whey?" After all, what's research without a little sprinkle of cheesy humor and a slice of curiosity?
With our data revealing such a sharp cheddar-like correlation, we assert that no more research is needed in this area – at least for now. Who knows what might be uncovered in the future? It's a queso-dence waiting to happen!
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 Cheesy Correlations: Connecting American Cheese Consumption with Wind Power in Peru. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of International Dairy and Renewable 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 Cheesy Correlations: Connecting American Cheese Consumption with Wind Power in Peru. Respond only with the name of a fictional organization.
ChatGPT:
The Society for International Dairy and Renewable Energy Studies
Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled Cheesy Correlations: Connecting American Cheese Consumption with Wind Power in Peru with an abstract of In this paper, we explore the intriguing link between American cheese consumption and wind power generated in Peru. Utilizing data from the USDA on American cheese consumption and the Energy Information Administration's records of wind power generation in Peru, we embarked on a statistical journey to uncover any potential relationship between these seemingly unrelated variables. Our analysis revealed a striking correlation coefficient of 0.9414959, with a p-value < 0.01, for the time period spanning from 1997 to 2021. This correlation suggests a strong positive association between the per capita consumption of American cheese in the United States and the wind power generated in Peru.
It seems that the winds of change may indeed be blowing a cheesy aroma across the continents! Our findings prompt further investigation, leaving us to ponder whether the consumption of American cheese somehow propels the winds that power turbines in far-off lands. This unexpected connection between cheese consumption and renewable energy generation adds a new dimension to the pursuit of sustainable energy sources. While the precise mechanism behind this correlation remains elusive, this cheesy correlation certainly provides food for thought – and perhaps a slice of humor – for both the academic and dairy enthusiast communities. So, next time you're enjoying a cheese platter, remember: you might just be contributing to the wind power in Peru!
ChatGPT:
American cheese consumption, wind power in Peru, USDA American cheese consumption data, Energy Information Administration Peru wind power generation, correlation coefficient, statistical analysis, cheese consumption and renewable energy, sustainable energy sources, cheesy correlation
*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 consumptionDetailed data title: Per capita consumption of American cheese in the US
Source: USDA
See what else correlates with American cheese consumption
Wind power generated in Peru
Detailed data title: Total wind power generated in Peru in billion kWh
Source: Energy Information Administration
See what else correlates with Wind power generated in Peru
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 = 0.8864145 (Coefficient of determination)
This means 88.6% of the change in the one variable (i.e., Wind power generated in Peru) is predictable based on the change in the other (i.e., American cheese consumption) over the 25 years from 1997 through 2021.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 2.4E-12. 0.0000000000023798616604674073
The p-value is a measure of how probable it is that we would randomly find a result this extreme. More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.
But I am a p-villain. I absolutely did not test only one pair of variables one time. I correlated hundreds of millions of pairs of variables. I threw boatloads of data into an industrial-sized blender to find this correlation.
Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.94 in 2.4E-10% of random cases. Said differently, if you correlated 420,192,491,274 random variables You don't actually need 420 billion 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 24 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 24 because we have two variables measured over a period of 25 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.
[ 0.87, 0.97 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.
This one is a bit more complciated than the other calculations, but I include it because many people have been pushing for confidence intervals instead of p-value calculations (for example: NEJM. However, if you are dredging data, you can reliably find yourself in the 5%. That's my goal!
All values for the years included above: If I were being very sneaky, I could trim years from the beginning or end of the datasets to increase the correlation on some pairs of variables. I don't do that because there are already plenty of correlations in my database without monkeying with the years.
Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
| 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | |
| American cheese consumption (Pounds per person) | 11.8149 | 11.9784 | 12.6987 | 12.6839 | 12.8133 | 12.8314 | 12.5619 | 12.8612 | 12.649 | 13.0656 | 12.7929 | 13.1306 | 13.3553 | 13.3048 | 13.0392 | 13.2569 | 13.3573 | 13.6656 | 14.0444 | 14.3621 | 15.0901 | 15.4027 | 15.5389 | 15.5 | 16.1 |
| Wind power generated in Peru (Billion kWh) | 0.001 | 0.001 | 0.001 | 0.001 | 0.001 | 0.001 | 0.001 | 0.001 | 0.001 | 0.001 | 0.001 | 0.001 | 0.001 | 0.001 | 0.001 | 0.001 | 0.001 | 0.257 | 0.595 | 1.063 | 1.073 | 1.502 | 1.654 | 1.813 | 1.811 |
Why this works
- Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
- Lack of causal connection: There is probably
Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied. - Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple
Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is. - 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.
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. Step 1: Download and install Python on your computer.Step 2: Open a plaintext editor like Notepad and paste the code below into it.
Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"
Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.
Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.
Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.
Step 7: Run the Python script by typing "python calculate_correlation.py"
If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:
"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."
# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats
# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):
# Calculate Pearson correlation coefficient and p-value
correlation, p_value = stats.pearsonr(array1, array2)
# Calculate R-squared as the square of the correlation coefficient
r_squared = correlation**2
return correlation, r_squared, p_value
# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([11.8149,11.9784,12.6987,12.6839,12.8133,12.8314,12.5619,12.8612,12.649,13.0656,12.7929,13.1306,13.3553,13.3048,13.0392,13.2569,13.3573,13.6656,14.0444,14.3621,15.0901,15.4027,15.5389,15.5,16.1,])
array_2 = np.array([0.001,0.001,0.001,0.001,0.001,0.001,0.001,0.001,0.001,0.001,0.001,0.001,0.001,0.001,0.001,0.001,0.001,0.257,0.595,1.063,1.073,1.502,1.654,1.813,1.811,])
array_1_name = "American cheese consumption"
array_2_name = "Wind power generated in Peru"
# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)
# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)Reuseable content
You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.
For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."
When spoken, my last name is pronounced "vegan," like I don't eat meat.
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
The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.
If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.
Alternatively you can use a tool like Inkscape. - High resolution line chart, optimized for mobile
- Alternative high resolution line chart
- Scatterplot
- Portable line chart (png)
- Portable line chart (png), optimized for mobile
- Line chart for only American cheese consumption
- Line chart for only Wind power generated in Peru
- AI-generated correlation image
- The spurious research paper: Cheesy Correlations: Connecting American Cheese Consumption with Wind Power in Peru
Your dedication to rating warms my heart!
Correlation ID: 3129 · Black Variable ID: 553 · Red Variable ID: 23897
