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AI explanation
As Americans consumed more cheese, the collective increase in dairy-induced flatulence contributed to a rise in geothermal activity, ultimately leading to an increase in total geothermal power generated globally. The cheese may have been gouda for the taste buds, but it was even better for sparking a gassy, yet grate, renewable energy source. Talk about an unexpected ripple effect of the nation's love for cheese! Remember, next time you're melting that cheddar on your burger, you're not just adding a savory kick – you're also fueling the Earth's underground cheese-fueled power plants.
Model: dalle-3
Prompt: An image where a bustling kitchen filled with cheese lovers is shown creating mouthwatering grilled cheese sandwiches. The characters display joy and enthusiasm as they prepare the sandwiches, with the aroma of melted American cheese visible in the air. In the background, new kitchen appliances are depicted humming with activity. The scene transitions to a deep underground view, revealing geothermal power plants harnessing the molten cheesy core to generate electricity. The plants emit a warm, comforting glow, signifying the sustainable power source meeting the increasing energy demands of the cheese-loving population. 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 Total geothermal power generated globally. 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: Whimsical illustration Macabre Cutsy graphics Parallax art An image that looks like it is a scene from a Pixar movie
ChatGPT: An image that looks like it is a scene from a Pixar movie
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 Total geothermal power generated globally, in the following situation: As American cheese consumption increased, so did the number of cheese lovers. These cheese lovers, in their quest for the ultimate grilled cheese sandwich, started experimenting with new kitchen appliances. The abundance of cheesy sandwiches made in these new appliances created a surge in demand for electricity. Power plants turned to geothermal energy to keep up, harnessing the molten cheesy core of the Earth to meet the increasing power needs of the cheese-loving population. And that's how a love for American cheese led to a gouda-licious boost in global geothermal power generation!. Keep the description simple.
ChatGPT: Imagine a bustling kitchen filled with cheese lovers creating mouthwatering grilled cheese sandwiches. The aroma of melted American cheese fills the air as new kitchen appliances hum with activity. Meanwhile, deep beneath the Earth's surface, geothermal power plants harness the molten cheesy core to generate electricity, meeting the increasing power needs of the cheese-loving population.
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: [ An image that looks like it is a scene from a Pixar movie ] and depicting this scene: Imagine a bustling kitchen filled with cheese lovers creating mouthwatering grilled cheese sandwiches. The aroma of melted American cheese fills the air as new kitchen appliances hum with activity. Meanwhile, deep beneath the Earth's surface, geothermal power plants harness the molten cheesy core to generate electricity, meeting the increasing power needs of the cheese-loving population. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: An image where a bustling kitchen filled with cheese lovers is shown creating mouthwatering grilled cheese sandwiches. The characters display joy and enthusiasm as they prepare the sandwiches, with the aroma of melted American cheese visible in the air. In the background, new kitchen appliances are depicted humming with activity. The scene transitions to a deep underground view, revealing geothermal power plants harnessing the molten cheesy core to generate electricity. The plants emit a warm, comforting glow, signifying the sustainable power source meeting the increasing energy demands of the cheese-loving population.
*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 Total geothermal power generated globally to increase.
AI academic paper
 |
Melting Cheese, Sizzling Earth: Exploring the Bizarre Link between American Cheese Consumption and Global Geothermal Power Generation Journal of Dairy Science and Planetary Geology Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Total geothermal power generated globally. Make lots of jokes, goofy observations, and puns.
Make the title punny if you can come up with clever pun. If not, just make it sound clever.
Your research team used data from USDA and Energy Information Administration to assess this nagging question. You found a correlation coefficient of 0.9757643 and p < 0.01 for 1990 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]]
"Melting Cheese, Sizzling Earth: Exploring the Bizarre Link between American Cheese Consumption and Global Geothermal Power Generation"
[[ABSTRACT]]
In this paper, we delve into the peculiar yet fascinating connection between America's affection for cheese and the Earth's renewable energy potential. Drawing on a comprehensive analysis of data from the USDA and Energy Information Administration spanning over three decades, our research uncovers a perplexingly strong statistical association between American cheese consumption and the total geothermal power generated worldwide. With a striking correlation coefficient of 0.9757643 and a significant p-value of less than 0.01, these findings challenge conventional wisdom and raise the question of whether the heat from cheese consumption could be fueling the Earth's geothermal energy. Join us as we unravel this enigmatic link and explore the cheezy mysteries of geothermal power generation.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Total geothermal power generated globally. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Here is the title and abstract of the paper:
[[TITLE]]
"Melting Cheese, Sizzling Earth: Exploring the Bizarre Link between American Cheese Consumption and Global Geothermal Power Generation"
[[ABSTRACT]]
In this paper, we delve into the peculiar yet fascinating connection between America's affection for cheese and the Earth's renewable energy potential. Drawing on a comprehensive analysis of data from the USDA and Energy Information Administration spanning over three decades, our research uncovers a perplexingly strong statistical association between American cheese consumption and the total geothermal power generated worldwide. With a striking correlation coefficient of 0.9757643 and a significant p-value of less than 0.01, these findings challenge conventional wisdom and raise the question of whether the heat from cheese consumption could be fueling the Earth's geothermal energy. Join us as we unravel this enigmatic link and explore the cheezy mysteries of geothermal power generation.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
INTRODUCTION
The relationship between American cheese consumption and global geothermal power generation is not one that immediately springs to mind - much like a slice of Swiss cheese with a surprising hole in the middle. While one may initially think this unusual pairing is as mismatched as a lactose-intolerant mouse at a cheese festival, our research aims to shed light on the unexpected correlation between these two seemingly unrelated phenomena.
In the world of research, one often encounters connections that, much like a cheesy pickup line, evoke a raised eyebrow and a quizzical expression. Yet, as we peel back the layers (just like peeling a fine block of cheddar), we find that these seemingly unrelated entities converge in a curiously intertwined dance.
As we embark on this venture, let us set the stage for what promises to be both a sharp and gouda-natured exploration of the interplay between American cheese consumption and the sizzling potential of geothermal power generation. Through analysis that would make a world-class cheese grater proud, we aim to present findings that will have readers muenstering their disbelief and provolone-ing their curiosity (apologies for the cheesy puns, but I camembert to resist).
Our aim is to approach this curious convergence with the seriousness it deserves, while still sprinkling throughout a bit of lightheartedness to keep things as breezy as a cheese soufflé rising in the oven. So, buckle up, my fellow researchers, as we embark on an odyssey that is as sharp as a good aged cheddar and as intriguing as the many holes in a slab of Emmental.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Total geothermal power generated globally. Make lots of 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 devolve ever further, and mention something completely ridiculous, like you conducted literature review by reading the backs of shampoo bottles.
Here is the title and abstract of the paper:
[[TITLE]]
"Melting Cheese, Sizzling Earth: Exploring the Bizarre Link between American Cheese Consumption and Global Geothermal Power Generation"
[[ABSTRACT]]
In this paper, we delve into the peculiar yet fascinating connection between America's affection for cheese and the Earth's renewable energy potential. Drawing on a comprehensive analysis of data from the USDA and Energy Information Administration spanning over three decades, our research uncovers a perplexingly strong statistical association between American cheese consumption and the total geothermal power generated worldwide. With a striking correlation coefficient of 0.9757643 and a significant p-value of less than 0.01, these findings challenge conventional wisdom and raise the question of whether the heat from cheese consumption could be fueling the Earth's geothermal energy. Join us as we unravel this enigmatic link and explore the cheezy mysteries of geothermal power generation.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
INTRODUCTION
The relationship between American cheese consumption and global geothermal power generation is not one that immediately springs to mind - much like a slice of Swiss cheese with a surprising hole in the middle. While one may initially think this unusual pairing is as mismatched as a lactose-intolerant mouse at a cheese festival, our research aims to shed light on the unexpected correlation between these two seemingly unrelated phenomena.
In the world of research, one often encounters connections that, much like a cheesy pickup line, evoke a raised eyebrow and a quizzical expression. Yet, as we peel back the layers (just like peeling a fine block of cheddar), we find that these seemingly unrelated entities converge in a curiously intertwined dance.
As we embark on this venture, let us set the stage for what promises to be both a sharp and gouda-natured exploration of the interplay between American cheese consumption and the sizzling potential of geothermal power generation. Through analysis that would make a world-class cheese grater proud, we aim to present findings that will have readers muenstering their disbelief and provolone-ing their curiosity (apologies for the cheesy puns, but I camembert to resist).
Our aim is to approach this curious convergence with the seriousness it deserves, while still sprinkling throughout a bit of lightheartedness to keep things as breezy as a cheese soufflé rising in the oven. So, buckle up, my fellow researchers, as we embark on an odyssey that is as sharp as a good aged cheddar and as intriguing as the many holes in a slab of Emmental.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
As we delve into the bizarre link between American cheese consumption and global geothermal power generation, we are met with a sea of curious publications that highlight the unexpected and unconventional relationship between food and energy. Smith et al. in "The Dairy Dilemma" examine the impact of American cheese consumption on dietary habits, whereas Doe's study in "The Earth's Embrace" explores the geothermal potential of various regions. These serious works lay the groundwork for our cheese-infused journey into the world of geothermal power.
Moving onto non-fiction literary works, "The Power of Curds" by Jones et al. offers a thought-provoking analysis of dairy products and their potential influence on renewable energy sources, while "From Gruyère to Gigawatts" by White presents a comprehensive overview of the dairy industry's role in shaping global energy dynamics. These scholarly works offer a wealth of knowledge and insights, albeit with a tinge of cheesiness.
Venturing into the realm of fiction, "The Gouda Factor" by Aged Brie and "Cheddar Volcanoes" by Gruyère Smith provide fictionalized accounts of cheese-fueled geothermal phenomena, presenting entertaining yet far-fetched narratives that beg the question: could cheese be the missing ingredient in the Earth's energy recipe?
In our exhaustive pursuit of knowledge, we leave no stone unturned - or in this case, cheese slice unsavored. Indeed, our unquenchable thirst for understanding even led us to unconventional sources, such as the backs of shampoo bottles, where we stumbled upon cryptic statements like "for extra cheesy suds" that left us both perplexed and amused. While certainly not the traditional reservoir of scholarly wisdom, these unexpected sources added a layer of random hilarity to our exploration.
Armed with the wisdom of the serious, the imagination of the fictional, and a sprinkle of delightful absurdity, we embrace the task of unraveling the confounding link between American cheese and geothermal power generation. Let the fon-due science begin!
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Total geothermal power generated globally. Make lots of 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 Energy Information Administration . You used data from 1990 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]]
"Melting Cheese, Sizzling Earth: Exploring the Bizarre Link between American Cheese Consumption and Global Geothermal Power Generation"
[[ABSTRACT]]
In this paper, we delve into the peculiar yet fascinating connection between America's affection for cheese and the Earth's renewable energy potential. Drawing on a comprehensive analysis of data from the USDA and Energy Information Administration spanning over three decades, our research uncovers a perplexingly strong statistical association between American cheese consumption and the total geothermal power generated worldwide. With a striking correlation coefficient of 0.9757643 and a significant p-value of less than 0.01, these findings challenge conventional wisdom and raise the question of whether the heat from cheese consumption could be fueling the Earth's geothermal energy. Join us as we unravel this enigmatic link and explore the cheezy mysteries of geothermal power generation.
[[INTRODUCTION]]
INTRODUCTION
The relationship between American cheese consumption and global geothermal power generation is not one that immediately springs to mind - much like a slice of Swiss cheese with a surprising hole in the middle. While one may initially think this unusual pairing is as mismatched as a lactose-intolerant mouse at a cheese festival, our research aims to shed light on the unexpected correlation between these two seemingly unrelated phenomena.
In the world of research, one often encounters connections that, much like a cheesy pickup line, evoke a raised eyebrow and a quizzical expression. Yet, as we peel back the layers (just like peeling a fine block of cheddar), we find that these seemingly unrelated entities converge in a curiously intertwined dance.
As we embark on this venture, let us set the stage for what promises to be both a sharp and gouda-natured exploration of the interplay between American cheese consumption and the sizzling potential of geothermal power generation. Through analysis that would make a world-class cheese grater proud, we aim to present findings that will have readers muenstering their disbelief and provolone-ing their curiosity (apologies for the cheesy puns, but I camembert to resist).
Our aim is to approach this curious convergence with the seriousness it deserves, while still sprinkling throughout a bit of lightheartedness to keep things as breezy as a cheese soufflé rising in the oven. So, buckle up, my fellow researchers, as we embark on an odyssey that is as sharp as a good aged cheddar and as intriguing as the many holes in a slab of Emmental.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
Data Collection:
To unravel the perplexing intertwining of American cheese consumption and global geothermal power generation, our research team embarked on a journey through the vast landscape of data. Our primary sources for this adventure were the United States Department of Agriculture (USDA) and the Energy Information Administration (EIA). Armed with spreadsheets, calculators, and a curious sense of humor, we scoured the data from 1990 to 2021, diligently tracking cheese consumption statistics and geothermal power generation figures.
Cheese Consumption Analysis:
While we did not personally conduct a world tour of cheese factories, our method for analyzing American cheese consumption data was as meticulous as a mouse nibbling through a wedge of Gouda. We assessed various types of American cheese, from mild and creamy to sharp and tangy, and aggregated the data to capture the overarching cheese fervor across the nation. From grilled cheese sandwiches to cheeseburgers, no cheesy delight escaped our scrutiny.
Geothermal Power Generation Examination:
Our approach to gauging global geothermal power generation was no less thorough. We delved into the swirling depths of energy statistics, navigating through the complex terrains of power production and renewable energy sources. With a fine-tooth comb, we combed through the numbers, leaving no stone unturned and no geothermal vent unexamined. We embraced the geothermal energy data with the fervor of a cheese lover savoring an aged Parmigiano-Reggiano.
Statistical Analysis:
With our trove of cheese consumption and geothermal power generation data in hand, we employed various statistical methods to uncover any hints of a connection between these seemingly unrelated phenomena. From correlation analyses to regression models, we employed statistical techniques with the precision of a skilled cheesemonger slicing through a block of Monterey Jack. Our statistical playground was adorned with p-values, correlation coefficients, and confidence intervals, guiding us through the intricate dance of data analysis.
Cross-Validation and Sensitivity Testing:
In our pursuit of scientific rigor, we subjected our findings to cross-validation and sensitivity testing. We prodded and poked our models, akin to a discerning connoisseur testing the ripeness of a wheel of Brie, to ensure that our results held up under different conditions. Sensitivity analyses were conducted with meticulous care, akin to gently testing the viscosity of a fondue to ensure it attains the perfect dipping consistency.
Limitations and Caveats:
It would be remiss of us not to acknowledge the limitations of our methods. Like the holes in a slice of Emmental (or "Swiss cheese" for those feeling less adventurous), our study contains gaps that require acknowledgment. The complexities of human dietary habits and the multifaceted factors influencing geothermal power generation pose challenges that even the most seasoned researchers would find daunting.
In summary, our methodology struck a balance between thorough scrutiny and a hint of playfulness, echoing the very nature of our inquiry into this unlikely correlation between American cheese consumption and global geothermal power generation. Now that we've laid out our approach with all the seriousness of a fine aged Gruyère, let us move forward to the compelling findings that our methodology has brought to the fore.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Total geothermal power generated globally. Make lots of 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 Energy Information Administration .
For the time period 1990 to 2021, you found a correlation 0.9757643, r-squared of 0.9521159, 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]]
"Melting Cheese, Sizzling Earth: Exploring the Bizarre Link between American Cheese Consumption and Global Geothermal Power Generation"
[[ABSTRACT]]
In this paper, we delve into the peculiar yet fascinating connection between America's affection for cheese and the Earth's renewable energy potential. Drawing on a comprehensive analysis of data from the USDA and Energy Information Administration spanning over three decades, our research uncovers a perplexingly strong statistical association between American cheese consumption and the total geothermal power generated worldwide. With a striking correlation coefficient of 0.9757643 and a significant p-value of less than 0.01, these findings challenge conventional wisdom and raise the question of whether the heat from cheese consumption could be fueling the Earth's geothermal energy. Join us as we unravel this enigmatic link and explore the cheezy mysteries of geothermal power generation.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
INTRODUCTION
The relationship between American cheese consumption and global geothermal power generation is not one that immediately springs to mind - much like a slice of Swiss cheese with a surprising hole in the middle. While one may initially think this unusual pairing is as mismatched as a lactose-intolerant mouse at a cheese festival, our research aims to shed light on the unexpected correlation between these two seemingly unrelated phenomena.
In the world of research, one often encounters connections that, much like a cheesy pickup line, evoke a raised eyebrow and a quizzical expression. Yet, as we peel back the layers (just like peeling a fine block of cheddar), we find that these seemingly unrelated entities converge in a curiously intertwined dance.
As we embark on this venture, let us set the stage for what promises to be both a sharp and gouda-natured exploration of the interplay between American cheese consumption and the sizzling potential of geothermal power generation. Through analysis that would make a world-class cheese grater proud, we aim to present findings that will have readers muenstering their disbelief and provolone-ing their curiosity (apologies for the cheesy puns, but I camembert to resist).
Our aim is to approach this curious convergence with the seriousness it deserves, while still sprinkling throughout a bit of lightheartedness to keep things as breezy as a cheese soufflé rising in the oven. So, buckle up, my fellow researchers, as we embark on an odyssey that is as sharp as a good aged cheddar and as intriguing as the many holes in a slab of Emmental.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
Our analysis of the data gathered from the USDA and Energy Information Administration revealed a remarkably strong correlation between American cheese consumption and global geothermal power generation. To put it in dairy terms, the relationship between these two variables was as solid as a block of aged gouda. The correlation coefficient of 0.9757643 indicated a near-perfect positive linear relationship, akin to the seamless blend of cheese and crackers.
Furthermore, the high r-squared value of 0.9521159 suggested that over 95% of the variability in global geothermal power generation could be explained by variations in American cheese consumption. This statistical result had our research team scratching their heads as if trying to solve the puzzle of a particularly tricky cheese maze.
With a p-value of less than 0.01, the likelihood of observing such a strong association between these unlikely partners by random chance alone was about as probable as stumbling upon a wheel of brie in the middle of a desert. This finding strengthened our confidence that the relationship we observed was not just a fluke, but rather a robust and compelling connection deserving of further investigation.
The scatterplot depicted in Fig. 1 visually encapsulates the astonishing correlation between American cheese consumption and global geothermal power generation. The data points coalesce in a pattern as cohesive as the binding agent in a delectable grilled cheese sandwich, affirming the unmistakable synchronicity between these two variables. It's a visual representation that could make even the most skeptical observer rethink the power of cheese in influencing the Earth's geothermal activity.
In conclusion, our results not only highlight the unexpected bond between American cheese consumption and global geothermal power generation but also offer a tantalizing premise for further exploration. It seems that the cheesy mysteries of geothermal power generation may have a bit more depth than initially assumed, and our research opens the door to a world of possibilities in uncovering the true nature of this uncanny relationship.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Total geothermal power generated globally. Make lots of 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]]
"Melting Cheese, Sizzling Earth: Exploring the Bizarre Link between American Cheese Consumption and Global Geothermal Power Generation"
[[ABSTRACT]]
In this paper, we delve into the peculiar yet fascinating connection between America's affection for cheese and the Earth's renewable energy potential. Drawing on a comprehensive analysis of data from the USDA and Energy Information Administration spanning over three decades, our research uncovers a perplexingly strong statistical association between American cheese consumption and the total geothermal power generated worldwide. With a striking correlation coefficient of 0.9757643 and a significant p-value of less than 0.01, these findings challenge conventional wisdom and raise the question of whether the heat from cheese consumption could be fueling the Earth's geothermal energy. Join us as we unravel this enigmatic link and explore the cheezy mysteries of geothermal power generation.
[[LITERATURE REVIEW]]
As we delve into the bizarre link between American cheese consumption and global geothermal power generation, we are met with a sea of curious publications that highlight the unexpected and unconventional relationship between food and energy. Smith et al. in "The Dairy Dilemma" examine the impact of American cheese consumption on dietary habits, whereas Doe's study in "The Earth's Embrace" explores the geothermal potential of various regions. These serious works lay the groundwork for our cheese-infused journey into the world of geothermal power.
Moving onto non-fiction literary works, "The Power of Curds" by Jones et al. offers a thought-provoking analysis of dairy products and their potential influence on renewable energy sources, while "From Gruyère to Gigawatts" by White presents a comprehensive overview of the dairy industry's role in shaping global energy dynamics. These scholarly works offer a wealth of knowledge and insights, albeit with a tinge of cheesiness.
Venturing into the realm of fiction, "The Gouda Factor" by Aged Brie and "Cheddar Volcanoes" by Gruyère Smith provide fictionalized accounts of cheese-fueled geothermal phenomena, presenting entertaining yet far-fetched narratives that beg the question: could cheese be the missing ingredient in the Earth's energy recipe?
In our exhaustive pursuit of knowledge, we leave no stone unturned - or in this case, cheese slice unsavored. Indeed, our unquenchable thirst for understanding even led us to unconventional sources, such as the backs of shampoo bottles, where we stumbled upon cryptic statements like "for extra cheesy suds" that left us both perplexed and amused. While certainly not the traditional reservoir of scholarly wisdom, these unexpected sources added a layer of random hilarity to our exploration.
Armed with the wisdom of the serious, the imagination of the fictional, and a sprinkle of delightful absurdity, we embrace the task of unraveling the confounding link between American cheese and geothermal power generation. Let the fon-due science begin!
[[RESULTS]]
Our analysis of the data gathered from the USDA and Energy Information Administration revealed a remarkably strong correlation between American cheese consumption and global geothermal power generation. To put it in dairy terms, the relationship between these two variables was as solid as a block of aged gouda. The correlation coefficient of 0.9757643 indicated a near-perfect positive linear relationship, akin to the seamless blend of cheese and crackers.
Furthermore, the high r-squared value of 0.9521159 suggested that over 95% of the variability in global geothermal power generation could be explained by variations in American cheese consumption. This statistical result had our research team scratching their heads as if trying to solve the puzzle of a particularly tricky cheese maze.
With a p-value of less than 0.01, the likelihood of observing such a strong association between these unlikely partners by random chance alone was about as probable as stumbling upon a wheel of brie in the middle of a desert. This finding strengthened our confidence that the relationship we observed was not just a fluke, but rather a robust and compelling connection deserving of further investigation.
The scatterplot depicted in Fig. 1 visually encapsulates the astonishing correlation between American cheese consumption and global geothermal power generation. The data points coalesce in a pattern as cohesive as the binding agent in a delectable grilled cheese sandwich, affirming the unmistakable synchronicity between these two variables. It's a visual representation that could make even the most skeptical observer rethink the power of cheese in influencing the Earth's geothermal activity.
In conclusion, our results not only highlight the unexpected bond between American cheese consumption and global geothermal power generation but also offer a tantalizing premise for further exploration. It seems that the cheesy mysteries of geothermal power generation may have a bit more depth than initially assumed, and our research opens the door to a world of possibilities in uncovering the true nature of this uncanny relationship.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The findings of our study, while undeniably cheesy, present compelling evidence suggesting a tantalizing link between American cheese consumption and global geothermal power generation. The strong correlation we uncovered supports and extends prior research, offering exciting new prospects for understanding the enigmatic relationship between food and renewable energy.
Our results resonate with the pivotal observations made by Smith et al. in "The Dairy Dilemma" and Doe's study in "The Earth's Embrace." These serious works have laid the foundation for our own exploration, guiding us through the labyrinthine world of cheese and geothermal power with academic rigor and intellectual gravitas. Who would have thought that an innocent cheeseburger might hold the key to unlocking the Earth's geothermal potential? The crossover between dietary habits and renewable energy dynamics is truly gouda be punted.
Furthermore, the fictional works "The Gouda Factor" by Aged Brie and "Cheddar Volcanoes" by Gruyère Smith, though whimsical in nature, eerily foreshadow the unexpected alignment we discovered in our data. It is as if cheese-fueled geothermal phenomena are not just the stuff of fiction, but a reality we are only beginning to comprehend. As we move forward, we must remain open to the possibility that the world of cheese harbors secrets beyond our current understanding, captivating our minds with tantalizing impossibilities that might just turn out to be incredi-brie realities.
It is essential to emphasize the significance of our statistical results in the context of global geothermal power generation. The correlation coefficient of 0.9757643, akin to the unyielding bond between macaroni and cheese, underscores a synchronicity that defies conventional scientific explanation. The high r-squared value and the significant p-value add further weight to the robustness of this association, as if the universe itself is issuing a decree to take the cheese-geothermal connection with the utmost seriousness.
As we invite fellow researchers to partake in this cheddar-riddled escapade, we must acknowledge the startling potential for practical applications arising from our findings. Could the future of renewable energy be as simple as a slice of American cheese? Is it possible that the Earth's fiery core is, in fact, sustained by the collective love for grilled cheese sandwiches? The implications of our research extend far beyond mere academic curiosity; they awaken a sense of wonderment and provoke us to entertain the most whimsical of hypotheses.
In essence, our pursuit of understanding the bizarre link between American cheese consumption and global geothermal power generation not only highlights the depth of this unconventional relationship, but also serves as a rallying cry to embrace the unknown with captivating curiosity. This field of study, with its blend of seriousness and absurdity, offers an exciting opportunity to uncover the cheesy enigmas that may very well shape the future of renewable energy. It's high time we acknowledge that the world of geothermal power may indeed have a penchant for the dairy deli-ghts of American cheese.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Total geothermal power generated globally. Make lots of 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]]
"Melting Cheese, Sizzling Earth: Exploring the Bizarre Link between American Cheese Consumption and Global Geothermal Power Generation"
[[ABSTRACT]]
In this paper, we delve into the peculiar yet fascinating connection between America's affection for cheese and the Earth's renewable energy potential. Drawing on a comprehensive analysis of data from the USDA and Energy Information Administration spanning over three decades, our research uncovers a perplexingly strong statistical association between American cheese consumption and the total geothermal power generated worldwide. With a striking correlation coefficient of 0.9757643 and a significant p-value of less than 0.01, these findings challenge conventional wisdom and raise the question of whether the heat from cheese consumption could be fueling the Earth's geothermal energy. Join us as we unravel this enigmatic link and explore the cheezy mysteries of geothermal power generation.
[[INTRDUCTION]]
INTRODUCTION
The relationship between American cheese consumption and global geothermal power generation is not one that immediately springs to mind - much like a slice of Swiss cheese with a surprising hole in the middle. While one may initially think this unusual pairing is as mismatched as a lactose-intolerant mouse at a cheese festival, our research aims to shed light on the unexpected correlation between these two seemingly unrelated phenomena.
In the world of research, one often encounters connections that, much like a cheesy pickup line, evoke a raised eyebrow and a quizzical expression. Yet, as we peel back the layers (just like peeling a fine block of cheddar), we find that these seemingly unrelated entities converge in a curiously intertwined dance.
As we embark on this venture, let us set the stage for what promises to be both a sharp and gouda-natured exploration of the interplay between American cheese consumption and the sizzling potential of geothermal power generation. Through analysis that would make a world-class cheese grater proud, we aim to present findings that will have readers muenstering their disbelief and provolone-ing their curiosity (apologies for the cheesy puns, but I camembert to resist).
Our aim is to approach this curious convergence with the seriousness it deserves, while still sprinkling throughout a bit of lightheartedness to keep things as breezy as a cheese soufflé rising in the oven. So, buckle up, my fellow researchers, as we embark on an odyssey that is as sharp as a good aged cheddar and as intriguing as the many holes in a slab of Emmental.
[[RESULTS]]
Our analysis of the data gathered from the USDA and Energy Information Administration revealed a remarkably strong correlation between American cheese consumption and global geothermal power generation. To put it in dairy terms, the relationship between these two variables was as solid as a block of aged gouda. The correlation coefficient of 0.9757643 indicated a near-perfect positive linear relationship, akin to the seamless blend of cheese and crackers.
Furthermore, the high r-squared value of 0.9521159 suggested that over 95% of the variability in global geothermal power generation could be explained by variations in American cheese consumption. This statistical result had our research team scratching their heads as if trying to solve the puzzle of a particularly tricky cheese maze.
With a p-value of less than 0.01, the likelihood of observing such a strong association between these unlikely partners by random chance alone was about as probable as stumbling upon a wheel of brie in the middle of a desert. This finding strengthened our confidence that the relationship we observed was not just a fluke, but rather a robust and compelling connection deserving of further investigation.
The scatterplot depicted in Fig. 1 visually encapsulates the astonishing correlation between American cheese consumption and global geothermal power generation. The data points coalesce in a pattern as cohesive as the binding agent in a delectable grilled cheese sandwich, affirming the unmistakable synchronicity between these two variables. It's a visual representation that could make even the most skeptical observer rethink the power of cheese in influencing the Earth's geothermal activity.
In conclusion, our results not only highlight the unexpected bond between American cheese consumption and global geothermal power generation but also offer a tantalizing premise for further exploration. It seems that the cheesy mysteries of geothermal power generation may have a bit more depth than initially assumed, and our research opens the door to a world of possibilities in uncovering the true nature of this uncanny relationship.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In a world filled with seemingly unrelated phenomena, our research has highlighted a fascinating connection between American cheese consumption and global geothermal power generation. As perplexing as finding a mozzarella stick in a bowl of guacamole, the near-perfect positive linear relationship between these variables has left us feeling as giddy as a lactose-intolerant cow at an ice cream parlor.
It's clear that the "cheese factor" may be more influential than we previously thought, and the "gouda-natured" correlation we discovered between cheese consumption and geothermal power generation has left us hungry for more. While it's tempting to make cheesy jokes and "brie-f" our findings, the implications of our research are as serious as a block of aged Parmesan.
However, as much as we relish in the delight of these unexpected findings, we must remember that even the most tantalizing results can sometimes be as full of holes as a block of Emmental. As such, we must "feta" say that no more research is needed in this area. It's time for us to "grate"fully move on to the next intriguing mystery, leaving behind the cheesy mysteries of geothermal power generation with a toast to the power of dairy in shaping our world. After all, there are "brie-ther" things to study.
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 Melting Cheese, Sizzling Earth: Exploring the Bizarre Link between American Cheese Consumption and Global Geothermal Power Generation. Respond only with the name of a fictional academic journal.
ChatGPT:
Journal of Dairy Science and Planetary Geology
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 Melting Cheese, Sizzling Earth: Exploring the Bizarre Link between American Cheese Consumption and Global Geothermal Power Generation. Respond only with the name of a fictional organization.
ChatGPT:
The Cheese Enthusiasts Research Institute
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 Melting Cheese, Sizzling Earth: Exploring the Bizarre Link between American Cheese Consumption and Global Geothermal Power Generation with an abstract of In this paper, we delve into the peculiar yet fascinating connection between America's affection for cheese and the Earth's renewable energy potential. Drawing on a comprehensive analysis of data from the USDA and Energy Information Administration spanning over three decades, our research uncovers a perplexingly strong statistical association between American cheese consumption and the total geothermal power generated worldwide. With a striking correlation coefficient of 0.9757643 and a significant p-value of less than 0.01, these findings challenge conventional wisdom and raise the question of whether the heat from cheese consumption could be fueling the Earth's geothermal energy. Join us as we unravel this enigmatic link and explore the cheezy mysteries of geothermal power generation.
ChatGPT:
American cheese consumption, geothermal power generation, cheese heat energy, renewable energy potential, USDA data analysis, Energy Information Administration, statistical association, correlation coefficient, p-value, geothermal energy mysteries
*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
Total geothermal power generated globally
Detailed data title: Total geothermal power generated globally in billion kWh
Source: Energy Information Administration
See what else correlates with Total geothermal power generated globally
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 = 0.9521159 (Coefficient of determination)
This means 95.2% of the change in the one variable (i.e., Total geothermal power generated globally) is predictable based on the change in the other (i.e., American cheese consumption) over the 32 years from 1990 through 2021.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 2.4E-21. 0.0000000000000000000023583302
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 0.98 in 2.4E-19% of random cases. Said differently, if you correlated 424,028,831,925,232,467,968 random variables You don't actually need 424 quintillion 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 31 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 31 because we have two variables measured over a period of 32 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.
[ 0.95, 0.99 ] 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.
| 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | |
| American cheese consumption (Pounds per person) | 11.127 | 11.0335 | 11.2559 | 11.313 | 11.4237 | 11.6872 | 11.8087 | 11.8149 | 11.9784 | 12.6987 | 12.6839 | 12.8133 | 12.8314 | 12.5619 | 12.8612 | 12.649 | 13.0656 | 12.7929 | 13.1306 | 13.3553 | 13.3048 | 13.0392 | 13.2569 | 13.3573 | 13.6656 | 14.0444 | 14.3621 | 15.0901 | 15.4027 | 15.5389 | 15.5 | 16.1 |
| Total geothermal power generated globally (Billion kWh) | 35.7002 | 36.9324 | 38.069 | 39.0386 | 38.9005 | 38.1301 | 40.5671 | 42.0005 | 44.5624 | 47.7258 | 51.3972 | 51.0034 | 51.795 | 53.5099 | 55.6913 | 56.4126 | 57.8077 | 60.4333 | 63.1181 | 65.1119 | 64.8379 | 65.8133 | 66.9776 | 68.4445 | 73.2047 | 77.121 | 79.2256 | 81.7007 | 85.2738 | 87.497 | 90.6632 | 91.7838 |
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.
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([11.127,11.0335,11.2559,11.313,11.4237,11.6872,11.8087,11.8149,11.9784,12.6987,12.6839,12.8133,12.8314,12.5619,12.8612,12.649,13.0656,12.7929,13.1306,13.3553,13.3048,13.0392,13.2569,13.3573,13.6656,14.0444,14.3621,15.0901,15.4027,15.5389,15.5,16.1,])
array_2 = np.array([35.7002,36.9324,38.069,39.0386,38.9005,38.1301,40.5671,42.0005,44.5624,47.7258,51.3972,51.0034,51.795,53.5099,55.6913,56.4126,57.8077,60.4333,63.1181,65.1119,64.8379,65.8133,66.9776,68.4445,73.2047,77.121,79.2256,81.7007,85.2738,87.497,90.6632,91.7838,])
array_1_name = "American cheese consumption"
array_2_name = "Total geothermal power generated globally"
# 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.
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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 Total geothermal power generated globally
- AI-generated correlation image
- The spurious research paper: Melting Cheese, Sizzling Earth: Exploring the Bizarre Link between American Cheese Consumption and Global Geothermal Power Generation
Hats off to you for rating!
Correlation ID: 2563 · Black Variable ID: 553 · Red Variable ID: 23441
