Spurious correlation #3,762 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Biomass power generated in Argentina and the second variable is Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion. The chart goes from 1980 to 2021, and the two variables track closely in value over that time.

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Biomass power generated in Argentina and the second variable is Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion. The chart goes from 1980 to 2021, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As Biomass power in Argentina increased, it led to a greater availability of electricity, sparking a surge in the operation of hot dog grills. This, in turn, created a tantalizing aroma that wafted all the way to the reigning Nathan's Hot Dog Eating Competition Champion, prompting him to consume more hotdogs in training, and eventually clinch the title. The connection was simply sausage-tory!

^{Show image generation prompt} Model: dalle-3
Prompt: The champion of Nathan's Hot Dog Eating Competition, surrounded by trays of sizzling plant-based hotdogs, stands with a determined look inside a modern kitchen overlooking a bustling Argentine city. Towering biomass power plants emit wisps of steam into the sky, while fields of lush green crops sway in the wind. The champion takes a bite of a hotdog, setting a new record, as the surplus plant matter from the biomass power plants is ingeniously transformed into the delectable hotdog alternative. The scene is depicted in vivid photorealism, capturing the contrast between the industrial landscape and the culinary innovation. 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: Biomass power generated in Argentina and Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion. 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: Voxel art Cyberpunk Brutalism Photorealism Cybernetic art
ChatGPT: Photorealism

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 Biomass power generated in Argentina and Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion, in the following situation: Because the surplus plant matter from biomass power plants in Argentina was used to make plant-based hotdog alternatives, leading to a spike in hotdog consumption for practice by the champion.. Keep the description simple.
ChatGPT: In a bustling Argentine city, towering biomass power plants emit wisps of steam into the sky. Surrounding these plants, fields of lush green crops sway in the wind. Within a modern kitchen, the champion of Nathan's Hot Dog Eating Competition stands with a determined look, surrounded by trays of sizzling plant-based hotdogs. They take a bite of a hotdog, setting a new record, as the surplus plant matter from the biomass power plants is ingeniously transformed into the delectable hotdog alternative.

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: [ Photorealism ] and depicting this scene: In a bustling Argentine city, towering biomass power plants emit wisps of steam into the sky. Surrounding these plants, fields of lush green crops sway in the wind. Within a modern kitchen, the champion of Nathan's Hot Dog Eating Competition stands with a determined look, surrounded by trays of sizzling plant-based hotdogs. They take a bite of a hotdog, setting a new record, as the surplus plant matter from the biomass power plants is ingeniously transformed into the delectable hotdog alternative. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: The champion of Nathan's Hot Dog Eating Competition, surrounded by trays of sizzling plant-based hotdogs, stands with a determined look inside a modern kitchen overlooking a bustling Argentine city. Towering biomass power plants emit wisps of steam into the sky, while fields of lush green crops sway in the wind. The champion takes a bite of a hotdog, setting a new record, as the surplus plant matter from the biomass power plants is ingeniously transformed into the delectable hotdog alternative. The scene is depicted in vivid photorealism, capturing the contrast between the industrial landscape and the culinary innovation.

*Variations in the User Prompts from chart to chart are just the result of random number generation in Python. I wrote a few arrays of various styles and methods to ask questions to change up the results. Every time this site writes an explanation or generates an image, the script picks from each at random.

I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.
^{Show prompt for explanation} Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in Biomass power generated in Argentina caused Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion to increase. Include one good pun.

AI academic paper

(Because p < 0.01)

From Power Plants to Power Eaters: A Statistical Analysis of Biomass Energy Generation in Argentina and Nathan's Hot Dog Eating Champion's Consumption

The Journal of Ecological Energy Dynamics

Jan 2024

Reminder: This paper is AI-generated. Not real!

^{Show prompt used to generate this paper} Quick note: This sequence is long and repetitive. That's how the prompt engineering works for this one. I manage the output in Python to format it into this PDF.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a literature review section of an academic research paper presenting the findings of the connection between Biomass power generated in Argentina and Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name some cartoons and childrens' shows that you watched that are related to the topic.

Here is the title and abstract of the paper:
[[TITLE]]
"From Power Plants to Power Eaters: A Statistical Analysis of Biomass Energy Generation in Argentina and Nathan's Hot Dog Eating Champion's Consumption"

[[ABSTRACT]]
In this paper, we delve into the overlooked connection between Biomass power generation in Argentina and the consumption of hotdogs by the reigning champions of Nathan's Hot Dog Eating Competition. Through a comprehensive statistical analysis utilizing data from the Energy Information Administration and Wikipedia, we reveal a striking correlation with a coefficient of 0.8890010 and p < 0.01 over the period of 1980 to 2021. Our findings not only demonstrate a significant relationship between these seemingly unrelated phenomena but also shed light on the intricate interplay between energy production and competitive eating on a global scale. As we unwrap the tantalizing correlation, we sprinkle in a few condiments of humor and perhaps a relish for the absurd, showcasing the lighthearted side of academic inquiry while exploring the unexpected links between Argentina's energy output and the prowess of hot dog consumption at the world-famous annual competition.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
In the realm of energy production, Biomass has emerged as a promising and renewable resource, providing an eco-friendly alternative to traditional fossil fuels. Simultaneously, the world of competitive eating has captivated audiences with its impressive displays of gastronomic prowess, none more revered than the annual Nathan's Hot Dog Eating Competition. While these two domains may seem as distant as two hotdog buns at opposite ends of the grill, our study aims to bridge the gap and uncover the surprising connection between Biomass power generation in Argentina and the champions' consumption of hotdogs at the renowned event.
Though on the surface, the idea of linking an environmentally conscious energy source with a gluttonous spectacle may seem as incongruous as ketchup on a filet mignon, our preliminary investigations have sparked an insatiable curiosity. This unlikely pairing forces us to ponder the intricate web of causation and correlation that underpins the seemingly unrelated realms of energy production and competitive eating. As we sink our teeth into this topic, we adopt a multi-disciplinary approach, blending elements of energy economics, statistical analysis, and a sprinkling of humor to unravel the tantalizing mystery at the nexus of Biomass power and hot dog consumption.
As we embark on this academic odyssey, we invite you to join us in unraveling this flavorful enigma, where statistical significance meets stomach-churning feats of consumption. While our findings promise to shed light on the unexpected intersection of these disparate spheres, we also aim to infuse the sometimes dry world of academic inquiry with a dash of seasoning – for what is research without a pinch of spice and a hint of relish in the pursuit of knowledge?

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
**[[LITERATURE REVIEW]]**

In a study by Smith et al. (2015), the authors find a strong positive correlation between biomass energy generation and environmental sustainability in Argentina. This research underscores the potential of biomass as a renewable and eco-friendly energy source, highlighting its capacity to reduce greenhouse gas emissions and dependence on non-renewable resources. Furthermore, Doe's analysis (2018) delves into the economic implications of biomass power generation, emphasizing its role in diversifying Argentina's energy mix and promoting energy security.

However, as we move away from the serious side of literature, we encounter some unexpected and delightfully bizarre connections. In "The Link Between Hot Dogs and Happiness" by Ipsum and Lorem (2020), the authors explore unconventional relationships between food consumption and emotional well-being, proposing a whimsical hypothesis that there may be a direct correlation between the consumption of hot dogs and elevated levels of happiness. While this study may initially seem unrelated to our research, it opens the door to considering the psychological impact of hot dog consumption, a factor that cannot be overlooked when analyzing the world of competitive eating.

From fictional literature, we turn to "Hot Dogs and High Stakes: A Culinary Mystery" by Agatha Crustie (2017) and "The Relish of Destiny: A Hot Dog Connoisseur's Journey" by Seymour Weiner (2019), two captivating novels that blend the savory world of hot dogs with thrilling plots and culinary intrigue. These imaginative works, while not academic in nature, provide a delightful escape into the realm of hot dog lore and fascination, sparking curiosity about the cultural significance of this beloved treat.

In the realm of animation, "The Adventures of Frank Furter" and "Hot Diggity Dog: A Tail of Two Toppings" stand out as whimsical cartoons that not only entertain but also offer a playful glimpse into the world of hot dog consumption. These light-hearted shows, often enjoyed by children and adults alike, ignite the imagination and leave one pondering the boundless potential of incorporating hot dogs into unexpected contexts – much like our current endeavor of unraveling the connections between Biomass power in Argentina and competitive hot dog eating.

As we traverse through this eclectic mix of literature and media, our research takes on a flavor of its own, infusing the scholarly pursuit with a lighthearted and, dare I say, pun-intended relish. After all, what research paper wouldn't benefit from a sprinkle of humor and a dash of the unexpected – much like a well-dressed hot dog atop its bun?

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

Please make up the methodology section of an academic research paper presenting the findings of the connection between Biomass power generated in Argentina and Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Your research team collected data from all across the internet, but mostly just used information from Energy Information Administration and Wikipedia . You used data from 1980 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]]
"From Power Plants to Power Eaters: A Statistical Analysis of Biomass Energy Generation in Argentina and Nathan's Hot Dog Eating Champion's Consumption"

[[ABSTRACT]]
In this paper, we delve into the overlooked connection between Biomass power generation in Argentina and the consumption of hotdogs by the reigning champions of Nathan's Hot Dog Eating Competition. Through a comprehensive statistical analysis utilizing data from the Energy Information Administration and Wikipedia, we reveal a striking correlation with a coefficient of 0.8890010 and p < 0.01 over the period of 1980 to 2021. Our findings not only demonstrate a significant relationship between these seemingly unrelated phenomena but also shed light on the intricate interplay between energy production and competitive eating on a global scale. As we unwrap the tantalizing correlation, we sprinkle in a few condiments of humor and perhaps a relish for the absurd, showcasing the lighthearted side of academic inquiry while exploring the unexpected links between Argentina's energy output and the prowess of hot dog consumption at the world-famous annual competition.

[[INTRODUCTION]]
In the realm of energy production, Biomass has emerged as a promising and renewable resource, providing an eco-friendly alternative to traditional fossil fuels. Simultaneously, the world of competitive eating has captivated audiences with its impressive displays of gastronomic prowess, none more revered than the annual Nathan's Hot Dog Eating Competition. While these two domains may seem as distant as two hotdog buns at opposite ends of the grill, our study aims to bridge the gap and uncover the surprising connection between Biomass power generation in Argentina and the champions' consumption of hotdogs at the renowned event.
Though on the surface, the idea of linking an environmentally conscious energy source with a gluttonous spectacle may seem as incongruous as ketchup on a filet mignon, our preliminary investigations have sparked an insatiable curiosity. This unlikely pairing forces us to ponder the intricate web of causation and correlation that underpins the seemingly unrelated realms of energy production and competitive eating. As we sink our teeth into this topic, we adopt a multi-disciplinary approach, blending elements of energy economics, statistical analysis, and a sprinkling of humor to unravel the tantalizing mystery at the nexus of Biomass power and hot dog consumption.
As we embark on this academic odyssey, we invite you to join us in unraveling this flavorful enigma, where statistical significance meets stomach-churning feats of consumption. While our findings promise to shed light on the unexpected intersection of these disparate spheres, we also aim to infuse the sometimes dry world of academic inquiry with a dash of seasoning – for what is research without a pinch of spice and a hint of relish in the pursuit of knowledge?

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

In order to sink our teeth into the correlation between Biomass power generation in Argentina and the hotdog consumption of Nathan's Hot Dog Eating Competition champions, our research team employed a multifaceted approach that blended rigorous statistical analysis with a pinch of whimsy and a sprinkle of relish. Our data collection spanned from 1980 to 2021, encompassing a period in which both Biomass energy production and competitive hotdog-eating reached new heights of relevance. However, it's important to note that while the aroma of hotdogs may have tantalized our senses, we approached the analysis with all due seriousness, much like a gourmet hot dog connoisseur.

We begin our data collection by combing through various sources, including but not limited to the Energy Information Administration, which served as the meaty backbone of our Biomass power generation data. In a similar vein, the unparalleled knowledge repository known as Wikipedia provided an ample smorgasbord of information on Nathan's Hot Dog Eating Competition champions and their illustrious hotdog consumption feats. As we waded through these digital spreads of data, we must confess that our stomachs rumbled with excitement at the prospect of unraveling this curious connection.

Now, let's talk methodology - a word almost as good as mustard on a hotdog! Our first step involved the meticulous compilation of annual Biomass energy production in Argentina, measured in megawatt-hours, and the corresponding hotdog consumption records of Nathan's Hot Dog Eating Competition champions, quantified with astounding precision as the number of hotdogs ingested within the allotted competition time. We must admit, the enormity of consumption by the champions elicited both awe and a touch of indigestion just thinking about it.

With both datasets in hand, we applied a delectable array of statistical techniques, including but not limited to Pearson correlation analysis, regression models, and time series analysis. Utilizing these analytical tools, we peeled back the layers of data to reveal the hidden flavors of correlation and significance. Our goal was to establish not just a tenuous link but a bun-verifiable statistical relationship between Biomass power generation in Argentina and the jaw-dropping consumption of hotdogs by competitive eaters.

As we chewed on the data, we also took care to control for potential confounding variables, ensuring that the savory relationship we were probing wasn't just a statistical red herring. Additionally, we incorporated sensitivity analyses to gauge the robustness of our findings, much like a vigilant diner ensuring the consistency of the perfect hotdog topping-to-sausage ratio.

Moreover, we leveraged advanced time series techniques to capture the dynamic interplay between Biomass energy production and the annual fluctuations in hotdog consumption. The goal was to uncover any nuances or seasonings, if you will, in the relationship over time, and we're happy to report that the results were as satisfying as a perfectly grilled hotdog on a summer afternoon.

Lastly, to infuse a touch of levity into our rigorous methods, we conducted a qualitative analysis of hotdog trends and cultural references, acknowledging the broader context of hotdog consumption beyond the competitive arena. This allowed us to appreciate the cultural and gustatory implications of our findings and added a mustard-flavored finish to our analysis.

In summary, our research methodology was a delectable blend of serious statistical analyses and a garnish of lightheartedness, representing our commitment to unraveling the tantalizing link between Biomass energy production in Argentina and the champions' hotdog consumption at Nathan's Hot Dog Eating Competition. We hope our readers will relish the diversity of flavors in our methodology, much like the myriad condiments that adorn a truly magnificent hotdog.

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

Please make up the discussion section of an academic research paper presenting the findings of the connection between Biomass power generated in Argentina and Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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]]
"From Power Plants to Power Eaters: A Statistical Analysis of Biomass Energy Generation in Argentina and Nathan's Hot Dog Eating Champion's Consumption"

[[ABSTRACT]]
In this paper, we delve into the overlooked connection between Biomass power generation in Argentina and the consumption of hotdogs by the reigning champions of Nathan's Hot Dog Eating Competition. Through a comprehensive statistical analysis utilizing data from the Energy Information Administration and Wikipedia, we reveal a striking correlation with a coefficient of 0.8890010 and p < 0.01 over the period of 1980 to 2021. Our findings not only demonstrate a significant relationship between these seemingly unrelated phenomena but also shed light on the intricate interplay between energy production and competitive eating on a global scale. As we unwrap the tantalizing correlation, we sprinkle in a few condiments of humor and perhaps a relish for the absurd, showcasing the lighthearted side of academic inquiry while exploring the unexpected links between Argentina's energy output and the prowess of hot dog consumption at the world-famous annual competition.

[[LITERATURE REVIEW]]
In a study by Smith et al. (2015), the authors find a strong positive correlation between biomass energy generation and environmental sustainability in Argentina. This research underscores the potential of biomass as a renewable and eco-friendly energy source, highlighting its capacity to reduce greenhouse gas emissions and dependence on non-renewable resources. Furthermore, Doe's analysis (2018) delves into the economic implications of biomass power generation, emphasizing its role in diversifying Argentina's energy mix and promoting energy security.
However, as we move away from the serious side of literature, we encounter some unexpected and delightfully bizarre connections. In "The Link Between Hot Dogs and Happiness" by Ipsum and Lorem (2020), the authors explore unconventional relationships between food consumption and emotional well-being, proposing a whimsical hypothesis that there may be a direct correlation between the consumption of hot dogs and elevated levels of happiness. While this study may initially seem unrelated to our research, it opens the door to considering the psychological impact of hot dog consumption, a factor that cannot be overlooked when analyzing the world of competitive eating.
From fictional literature, we turn to "Hot Dogs and High Stakes: A Culinary Mystery" by Agatha Crustie (2017) and "The Relish of Destiny: A Hot Dog Connoisseur's Journey" by Seymour Weiner (2019), two captivating novels that blend the savory world of hot dogs with thrilling plots and culinary intrigue. These imaginative works, while not academic in nature, provide a delightful escape into the realm of hot dog lore and fascination, sparking curiosity about the cultural significance of this beloved treat.
In the realm of animation, "The Adventures of Frank Furter" and "Hot Diggity Dog: A Tail of Two Toppings" stand out as whimsical cartoons that not only entertain but also offer a playful glimpse into the world of hot dog consumption. These light-hearted shows, often enjoyed by children and adults alike, ignite the imagination and leave one pondering the boundless potential of incorporating hot dogs into unexpected contexts – much like our current endeavor of unraveling the connections between Biomass power in Argentina and competitive hot dog eating.
As we traverse through this eclectic mix of literature and media, our research takes on a flavor of its own, infusing the scholarly pursuit with a lighthearted and, dare I say, pun-intended relish. After all, what research paper wouldn't benefit from a sprinkle of humor and a dash of the unexpected – much like a well-dressed hot dog atop its bun?

[[RESULTS]]
The statistical analysis of the relationship between Biomass energy generation in Argentina and the consumption of hotdogs by the Nathan's Hot Dog Eating Competition Champion has unearthed a compelling correlation. Over the period of 1980 to 2021, our research team identified a correlation coefficient of 0.8890010, implying a strong positive association between these two seemingly disparate variables. This coefficient, accompanied by an r-squared value of 0.7903228, elucidates that approximately 79.03% of the variability in hotdog consumption can be explained by variations in Biomass power generation. Moreover, the p-value of less than 0.01 indicates statistical significance, affirming the robustness of our findings.
Our striking results are succinctly encapsulated in Figure 1, a scatterplot that visually portrays the remarkably high correlation between Biomass power generation in Argentina and the hotdog consumption by the reigning champions of Nathan's Hot Dog Eating Competition. This graphical representation serves as a poignant reminder that, much like the assembly of a meticulously crafted hotdog, our research has carefully intertwined data points to reveal a connection that is as surprising as finding mustard in a medicine cabinet.
The substantial correlation discovered in our analysis not only underscores the unanticipated link between these two phenomena but also exemplifies the intriguing interplay between sustainable energy generation and competitive eating. As we savor the fruits of our statistical labor, we invite fellow researchers to indulge in the unconventional pairing of topics as we forge ahead with uncovering the enigmatic connection that tantalizingly binds Biomass power generation and the consumption of hotdogs by world-class eaters.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The prodigious correlation coefficient of 0.8890010 and the p-value of less than 0.01 observed in our analysis culminate in a compelling demonstration of the uncanny relationship between Biomass energy generation in Argentina and the consumption of hotdogs by the Nathan's Hot Dog Eating Competition Champion. These findings not only confirm the unexpected connection suggested by Ipsum and Lorem's lighthearted exploration of the potential link between hot dog consumption and elevated levels of happiness, but they also add a layer of depth to the whimsical and playful realm of competitive eating.

Lending credence to the perplexing correlation, the works of Agatha Crustie and Seymour Weiner, although non-academic, pluck at the very heartstrings of hot dog lore and fascination. While our research is firmly rooted in statistical analysis and scholarly inquiry, it is undeniably influenced by the captivating realm of culinary mystery and light-hearted culinary fiction. This intersection of seemingly unrelated literary and media sources serves as a gentle reminder that academic pursuits, much like a perfectly grilled hot dog, can be seasoned with a touch of playfulness and intrigue.

In essence, our findings not only support the serious role of biomass as a renewable and eco-friendly energy source as highlighted by Smith et al. (2015) and Doe's emphasis on its implications for energy security, but they also allude to a rich tapestry of unconventional connections, adding a sprinkle of whimsy to the otherwise staid field of statistical analysis. As we digest the implications of our results, we urge the scholarly community to embrace the unexpected and delve into the uncharted territory where sustainable energy production and competitive eating intertwine.

Thus, just as hot dogs tantalize the taste buds with unexpected flavor combinations, our research tickles the intellectual palate with an unexpected correlation, underscoring the delightfully bizarre and amusingly plausible connections that can arise from rigorous statistical analysis. This unexpected connection paves the way for future inquiry, enticing researchers to further explore the potential impact of food consumption on athletes and the role of renewable energy sources in various global competitions.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.You draft the discussion section of goofy academic research papers that sounds like it belongs based on the title and abstract provided.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Biomass power generated in Argentina and Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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]]
"From Power Plants to Power Eaters: A Statistical Analysis of Biomass Energy Generation in Argentina and Nathan's Hot Dog Eating Champion's Consumption"

[[ABSTRACT]]
In this paper, we delve into the overlooked connection between Biomass power generation in Argentina and the consumption of hotdogs by the reigning champions of Nathan's Hot Dog Eating Competition. Through a comprehensive statistical analysis utilizing data from the Energy Information Administration and Wikipedia, we reveal a striking correlation with a coefficient of 0.8890010 and p < 0.01 over the period of 1980 to 2021. Our findings not only demonstrate a significant relationship between these seemingly unrelated phenomena but also shed light on the intricate interplay between energy production and competitive eating on a global scale. As we unwrap the tantalizing correlation, we sprinkle in a few condiments of humor and perhaps a relish for the absurd, showcasing the lighthearted side of academic inquiry while exploring the unexpected links between Argentina's energy output and the prowess of hot dog consumption at the world-famous annual competition.

[[INTRDUCTION]]
In the realm of energy production, Biomass has emerged as a promising and renewable resource, providing an eco-friendly alternative to traditional fossil fuels. Simultaneously, the world of competitive eating has captivated audiences with its impressive displays of gastronomic prowess, none more revered than the annual Nathan's Hot Dog Eating Competition. While these two domains may seem as distant as two hotdog buns at opposite ends of the grill, our study aims to bridge the gap and uncover the surprising connection between Biomass power generation in Argentina and the champions' consumption of hotdogs at the renowned event.
Though on the surface, the idea of linking an environmentally conscious energy source with a gluttonous spectacle may seem as incongruous as ketchup on a filet mignon, our preliminary investigations have sparked an insatiable curiosity. This unlikely pairing forces us to ponder the intricate web of causation and correlation that underpins the seemingly unrelated realms of energy production and competitive eating. As we sink our teeth into this topic, we adopt a multi-disciplinary approach, blending elements of energy economics, statistical analysis, and a sprinkling of humor to unravel the tantalizing mystery at the nexus of Biomass power and hot dog consumption.
As we embark on this academic odyssey, we invite you to join us in unraveling this flavorful enigma, where statistical significance meets stomach-churning feats of consumption. While our findings promise to shed light on the unexpected intersection of these disparate spheres, we also aim to infuse the sometimes dry world of academic inquiry with a dash of seasoning – for what is research without a pinch of spice and a hint of relish in the pursuit of knowledge?

[[RESULTS]]
The statistical analysis of the relationship between Biomass energy generation in Argentina and the consumption of hotdogs by the Nathan's Hot Dog Eating Competition Champion has unearthed a compelling correlation. Over the period of 1980 to 2021, our research team identified a correlation coefficient of 0.8890010, implying a strong positive association between these two seemingly disparate variables. This coefficient, accompanied by an r-squared value of 0.7903228, elucidates that approximately 79.03% of the variability in hotdog consumption can be explained by variations in Biomass power generation. Moreover, the p-value of less than 0.01 indicates statistical significance, affirming the robustness of our findings.
Our striking results are succinctly encapsulated in Figure 1, a scatterplot that visually portrays the remarkably high correlation between Biomass power generation in Argentina and the hotdog consumption by the reigning champions of Nathan's Hot Dog Eating Competition. This graphical representation serves as a poignant reminder that, much like the assembly of a meticulously crafted hotdog, our research has carefully intertwined data points to reveal a connection that is as surprising as finding mustard in a medicine cabinet.
The substantial correlation discovered in our analysis not only underscores the unanticipated link between these two phenomena but also exemplifies the intriguing interplay between sustainable energy generation and competitive eating. As we savor the fruits of our statistical labor, we invite fellow researchers to indulge in the unconventional pairing of topics as we forge ahead with uncovering the enigmatic connection that tantalizingly binds Biomass power generation and the consumption of hotdogs by world-class eaters.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our research has illuminated a compelling relationship between Biomass power generation in Argentina and the consumption of hotdogs by the reigning champions of Nathan's Hot Dog Eating Competition. The statistically significant correlation we've uncovered stands as solid as a hot dog bun, albeit a statistical one, revealing a surprising link between sustainable energy production and stomach-churning feats of consumption.

As we reflect on these unexpected findings, we are reminded that the world of research, much like a hotdog contest, is often filled with twists, turns, and the occasional indigestion. Our study not only underscores the need to keep an open mind in exploring unconventional connections but also provides a glimpse into the lighter side of academia, where research can be as whimsical as a clown car at a hotdog stand.

Ultimately, our analysis has sauced up an area of inquiry that, much like a good condiment, has enhanced our understanding of the intricate dynamics at play in the realms of energy production and competitive eating. However, it seems that further exploration of this whimsical correlation may not yield much additional sustenance, unlike an extra helping of sauerkraut on a hotdog. As such, it is with a sense of satisfaction and a full stomach that we assert there is no ketchup – or further research – needed in this area.

In the spirit of academia and with a wink to the unexpected, we implore fellow researchers to relish in the zesty, albeit brief, journey we've embarked on and to embrace the joy that can be found in uncovering the delightfully offbeat connections that pepper the landscape of scientific inquiry. Just as a hotdog eating champion savors a well-earned victory, we too savor the flavorful revelation of this curious correlation, confident that our study has added a touch of whimsy to the often austere world of research.

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 From Power Plants to Power Eaters: A Statistical Analysis of Biomass Energy Generation in Argentina and Nathan's Hot Dog Eating Champion's Consumption. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Ecological Energy Dynamics

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 From Power Plants to Power Eaters: A Statistical Analysis of Biomass Energy Generation in Argentina and Nathan's Hot Dog Eating Champion's Consumption. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Sustainable Energy and Competitive Eating Research

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 From Power Plants to Power Eaters: A Statistical Analysis of Biomass Energy Generation in Argentina and Nathan's Hot Dog Eating Champion's Consumption with an abstract of In this paper, we delve into the overlooked connection between Biomass power generation in Argentina and the consumption of hotdogs by the reigning champions of Nathan's Hot Dog Eating Competition. Through a comprehensive statistical analysis utilizing data from the Energy Information Administration and Wikipedia, we reveal a striking correlation with a coefficient of 0.8890010 and p < 0.01 over the period of 1980 to 2021. Our findings not only demonstrate a significant relationship between these seemingly unrelated phenomena but also shed light on the intricate interplay between energy production and competitive eating on a global scale. As we unwrap the tantalizing correlation, we sprinkle in a few condiments of humor and perhaps a relish for the absurd, showcasing the lighthearted side of academic inquiry while exploring the unexpected links between Argentina's energy output and the prowess of hot dog consumption at the world-famous annual competition.

ChatGPT:

Biomass energy generation, Argentina, hot dog eating competition, Nathan's Hot Dog Eating Champion, statistical analysis, Energy Information Administration, biomass power plants, hot dog consumption, competitive eating, correlation analysis, Argentina energy production, global energy production, competitive eating statistics

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

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Data details

Biomass power generated in Argentina
Detailed data title: Total biomass power generated in Argentina in billion kWh
Source: Energy Information Administration
See what else correlates with Biomass power generated in Argentina

Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion
Detailed data title: Hotdog Consumption by Nathan's Hot Dog Eating Competition Champion
Source: Wikipedia
See what else correlates with Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion

Correlation r = 0.8890010 (Pearson correlation coefficient)
Correlation is a measure of how much the variables move together. If it is 0.99, when one goes up the other goes up. If it is 0.02, the connection is very weak or non-existent. If it is -0.99, then when one goes up the other goes down. If it is 1.00, you probably messed up your correlation function.

r² = 0.7903228 (Coefficient of determination)
This means 79% of the change in the one variable (i.e., Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion) is predictable based on the change in the other (i.e., Biomass power generated in Argentina) over the 42 years from 1980 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 3.8E-15.^Show 0.0000000000000037810601384147
The p-value is a measure of how probable it is that we would randomly find a result this extreme.^Note More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.

But I am a p-villain. I absolutely did not test only one pair of variables one time. I correlated hundreds of millions of pairs of variables. I threw boatloads of data into an industrial-sized blender to find this correlation.

Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.89 in 3.8E-13% of random cases. Said differently, if you correlated 264,476,089,613,130 random variables^Note You don't actually need 264 trillion 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 41 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 41 because we have two variables measured over a period of 42 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.

[ 0.8, 0.94 ] 95% correlation confidence interval (using the Fisher z-transformation)
^{Read more about the confidence interval} The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

This one is a bit more complciated than the other calculations, but I include it because many people have been pushing for confidence intervals instead of p-value calculations (for example: NEJM. However, if you are dredging data, you can reliably find yourself in the 5%. That's my goal!

All values for the years included above: ^Note If I were being very sneaky, I could trim years from the beginning or end of the datasets to increase the correlation on some pairs of variables. I don't do that because there are already plenty of correlations in my database without monkeying with the years.

Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.

	1980	1981	1982	1983	1984	1985	1986	1987	1988	1989	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
Biomass power generated in Argentina (Billion kWh)	0.1	0.1	0.1	0.1	0.1	0.1	0.1	0.1	0.1	0.1	0.1	0.1	0.1	0.1	0.12	0.12	0.35	0.45	0.47	0.54	0.68	0.62	0.87	1	1.2	1.3	2.8	2.76	1.576	1.366	1.165	1.162	1.372	1.314	1.173	1.232	1.532	1.853	1.784	2.159	2.607	2.607
Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion (Hotdogs eaten)	9.5	11	11	10.5	9.5	11.75	15.5	13.5	10	15.5	16	21.5	19	17	20	19.5	22.25	24.5	19	20.25	25	50	50.5	44.5	53.33	49	53.75	66	59	68	54	62	68	69	61	62	70	72	74	71	75	76

Why this works

Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
Lack of causal connection: There is probably^Note Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple^Note Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is.
Outlandish outliers: There are "outliers" in this data.^Note In concept, "outlier" just means "way different than the rest of your dataset." When calculating a correlation like this, they are particularly impactful because a single outlier can substantially increase your correlation.

For the purposes of this project, I counted a point as an outlier if it the residual was two standard deviations from the mean.

(This bullet point only shows up in the details page on charts that do, in fact, have outliers.)
They stand out on the scatterplot above: notice the dots that are far away from any other dots. I intentionally mishandeled outliers, which makes the correlation look extra strong.

Try it yourself

You can calculate the values on this page on your own! Try running the Python code to see the calculation results. ^{Show the steps to do this.} Step 1: Download and install Python on your computer.

Step 2: Open a plaintext editor like Notepad and paste the code below into it.

Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"

Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.

Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.

Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.

Step 7: Run the Python script by typing "python calculate_correlation.py"

If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:

"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."

# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats

# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):

    # Calculate Pearson correlation coefficient and p-value
    correlation, p_value = stats.pearsonr(array1, array2)

    # Calculate R-squared as the square of the correlation coefficient
    r_squared = correlation**2

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.12,0.12,0.35,0.45,0.47,0.54,0.68,0.62,0.87,1,1.2,1.3,2.8,2.76,1.576,1.366,1.165,1.162,1.372,1.314,1.173,1.232,1.532,1.853,1.784,2.159,2.607,2.607,])
array_2 = np.array([9.5,11,11,10.5,9.5,11.75,15.5,13.5,10,15.5,16,21.5,19,17,20,19.5,22.25,24.5,19,20.25,25,50,50.5,44.5,53.33,49,53.75,66,59,68,54,62,68,69,61,62,70,72,74,71,75,76,])
array_1_name = "Biomass power generated in Argentina"
array_2_name = "Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion"

# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)

# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)

Reuseable content

You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. ^Note Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.

You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.

For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."

When spoken, my last name is pronounced "vegan," like I don't eat meat.

Full license details.
For more on re-use permissions, or to get a signed release form, see tylervigen.com/permission.

Download images for these variables:

High resolution line chart ^Note The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.

If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.

Alternatively you can use a tool like Inkscape.
High resolution line chart, optimized for mobile
Alternative high resolution line chart
Scatterplot
Portable line chart (png)
Portable line chart (png), optimized for mobile
Line chart for only Biomass power generated in Argentina
Line chart for only Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion
AI-generated correlation image
The spurious research paper: From Power Plants to Power Eaters: A Statistical Analysis of Biomass Energy Generation in Argentina and Nathan's Hot Dog Eating Champion's Consumption

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Correlation ID: 3762 · Black Variable ID: 23464 · Red Variable ID: 500


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