Spurious correlation #2,473 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is GMO use in soybeans in Nebraska and the second variable is Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion. The chart goes from 2000 to 2022, 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 GMO use in soybeans in Nebraska and the second variable is Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion. The chart goes from 2000 to 2022, and the two variables track closely in value over that time.

Download png, svg

AI explanation

The genetically modified soybeans in Nebraska started producing hotdog-flavored compounds as a side effect, enticing the Champion to consume more of the irresistible GMO soy-infused hotdogs. It's a real Franken-feed situation!

^{Show image generation prompt} Model: dalle-3
Prompt: Generate an image that combines the lush green soybean fields of Nebraska with the Nathan's Hot Dog Eating Competition. The scene includes a picturesque view of the sunlit soybean fields with healthy, glistening crops and a herd of contented cattle. In the same image, portray a bustling arena where the reigning champion, adorned with the winner's belt, enthusiastically devours a mountain of hotdogs in the midst of cheering spectators. Emphasize the unique relationship between the genetically modified soybeans and the tantalizing appeal of the consumed hotdogs. 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: GMO use in soybeans in Nebraska 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: Symbolism Surrealism Charcoal Charcoal A scene from Skyrim
ChatGPT: A scene from Skyrim

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 GMO use in soybeans in Nebraska and Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion, in the following situation: The soybeans developed a craving-enhancing protein that, when consumed by the cattle, made them produce more tantalizing beef for hotdogs. It's like they were genetically modifying the hotdog's allure from the very beginning!. Keep the description simple.
ChatGPT: A field of lush green soybean plants stretches across the Nebraska countryside, their leaves glistening in the midday sun. In the distance, a herd of cattle graze contentedly on the genetically modified soybeans, their coats shinier and healthier than those of their non-GMO counterparts. Meanwhile, in a bustling arena, the reigning champion of Nathan's Hot Dog Eating Competition, proudly wearing the winner's belt, eagerly devours a mountain of hotdogs. The aroma of sizzling meat fills the air as the champion's enthusiastic consumption of the GMO-infused hotdogs fuels the crowd's excitement. The scene captures the unique combination of GMO use in soybeans in Nebraska and the hotdogs eagerly consumed by the champion, showcasing the intertwined relationship between genetically modified crops and the tantalizing appeal of the hotdogs.

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: [ A scene from Skyrim ] and depicting this scene: A field of lush green soybean plants stretches across the Nebraska countryside, their leaves glistening in the midday sun. In the distance, a herd of cattle graze contentedly on the genetically modified soybeans, their coats shinier and healthier than those of their non-GMO counterparts. Meanwhile, in a bustling arena, the reigning champion of Nathan's Hot Dog Eating Competition, proudly wearing the winner's belt, eagerly devours a mountain of hotdogs. The aroma of sizzling meat fills the air as the champion's enthusiastic consumption of the GMO-infused hotdogs fuels the crowd's excitement. The scene captures the unique combination of GMO use in soybeans in Nebraska and the hotdogs eagerly consumed by the champion, showcasing the intertwined relationship between genetically modified crops and the tantalizing appeal of the hotdogs. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image that combines the lush green soybean fields of Nebraska with the Nathan's Hot Dog Eating Competition. The scene includes a picturesque view of the sunlit soybean fields with healthy, glistening crops and a herd of contented cattle. In the same image, portray a bustling arena where the reigning champion, adorned with the winner's belt, enthusiastically devours a mountain of hotdogs in the midst of cheering spectators. Emphasize the unique relationship between the genetically modified soybeans and the tantalizing appeal of the consumed hotdogs.

*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 GMO use in soybeans in Nebraska caused Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion to increase. Add a funny one-liner at the end.

AI academic paper

(Because p < 0.01)

Buns and Beans: Exploring the Link Between GMO Soybeans in Nebraska and Nathan's Hot Dog Eating Competition Champion's Consumption

The Journal of Agricultural Gastronomy

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 GMO use in soybeans in Nebraska 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. Perhaps you also got inspiration from some board games that are vaugely related.

Here is the title and abstract of the paper:
[[TITLE]]
"Buns and Beans: Exploring the Link Between GMO Soybeans in Nebraska and Nathan's Hot Dog Eating Competition Champion's Consumption"

[[ABSTRACT]]
In this paper, the connection between the usage of genetically modified organisms (GMO) in soybeans in the great state of Nebraska and the net number of hotdogs consumed by the reigning champion of Nathan's Hot Dog Eating Competition is meticulously examined. Through the analysis of data obtained from the United States Department of Agriculture (USDA) and Wikipedia, a statistically significant correlation was observed. The findings reveal a correlation coefficient of 0.8233284 with a p-value of less than 0.01 for the period from 2000 to 2022, thereby establishing a strong association between these seemingly disparate elements. Additionally, this paper explores potential factors such as soybean crop yield, hotdog bun texture, and competitive eating prowess that may contribute to the observed correlation. The implications of these findings may shed light on the wider implications of GMO consumption and could potentially inform the training regimens of competitive eaters.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The consumption of hotdogs, a beloved American pastime, has become a competitive sport in recent years, with athletes pushing the boundaries of gastric capacity in events such as Nathan's Hot Dog Eating Competition. On the other hand, the widespread adoption of genetically modified organisms (GMOs) in soybean cultivation has significantly impacted agricultural practices, particularly in states like Nebraska, known for its vast soybean fields. This paper aims to shed light on the unexpected correlation between these two seemingly unrelated phenomena and explore the potential factors that may underlie this connection.
The history of the hotdog is a storied and relished tale, deeply intertwined with American culture and cuisine. Similarly, GMOs have sparked debates and controversies, often sowing the seeds of discourse within agricultural and environmental circles. Despite these disparate origins, our research endeavors to bridge the gap between these two realms and uncover any potential links that may exist.
We are not merely wading into the shallow end of the academic pool; rather, we are diving headfirst into the enigmatic and often sausage-filled waters of hotdog-eating competitions and the agricultural landscape of soybean cultivation. Through rigorous statistical analysis and a healthy serving of whimsy, our study seeks to unravel the tangled web of associations between GMO soybeans and the consumptive feats of hotdog champions. So, buckle up and prepare for a wild ride through the fields of soy and the arenas of competitive eating. We assure you, dear reader, that the findings of this study are nothing to be taken lightly.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

In their seminal work, Smith et al. (2015) conducted a comprehensive analysis of GMO soybean production in Nebraska, delving into the socio-economic impacts and agricultural practices associated with the widespread adoption of genetically engineered crops. Their study highlights the significant increase in soybean yield and the corresponding utilization of GMO soybeans in various food products, including the ubiquitous hotdog.

Furthermore, Doe and Jones (2018) examined the physiological effects of consuming hotdogs, emphasizing the potential implications for competitive eaters and the broader implications for gastrointestinal health. Their research illustrates the intricate relationship between processed meat consumption and the performance of competitive eaters in renowned eating competitions such as Nathan's Hot Dog Eating Contest.

In "The Soybean Chronicles: A Historical Perspective" by Anderson (2014), the author provides a comprehensive overview of the cultivation and utilization of soybeans throughout history, offering valuable insights into the technological advancements, including the proliferation of GMO soybeans in modern agriculture. This comprehensive resource serves as a foundation for understanding the cultural and economic significance of soybeans and their derivatives, including the beloved hotdog.

Moving to fictional literature, "Hotdogs and Genetic Mysteries" by Christie (2016) weaves a thrilling narrative that intertwines the world of competitive eating with clandestine genetic engineering experiments involving soybeans. While a work of fiction, the novel sparks curiosity and speculation about the potential interplay between GMO soybeans and the insatiable appetites of hotdog aficionados.

On a tangentially-related note, the board game "Agricola: Farmers of the Moor" provides a simulated experience of agricultural management and resource allocation, offering an indirect reflection of the complexities of soybean production and its real-world implications. While the game does not explicitly touch upon hotdog consumption, it serves as a lighthearted reminder of the multifaceted nature of agricultural practices.

As we traverse through the landscape of literature and scholarly discourse pertaining to GMO soybeans and hotdog consumption, it becomes evident that the intersection of these seemingly disparate entities yields a rich tapestry of interdisciplinary connections and speculative inquiries. The synthesis of empirical research, fictional narratives, and playful diversions invites us to ponder the enigmatic relationships that underpin the consumption of hotdogs and the cultivation of GMO soybeans.

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 GMO use in soybeans in Nebraska 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 USDA and Wikipedia . You used data from 2000 to 2022

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]]
"Buns and Beans: Exploring the Link Between GMO Soybeans in Nebraska and Nathan's Hot Dog Eating Competition Champion's Consumption"

[[ABSTRACT]]
In this paper, the connection between the usage of genetically modified organisms (GMO) in soybeans in the great state of Nebraska and the net number of hotdogs consumed by the reigning champion of Nathan's Hot Dog Eating Competition is meticulously examined. Through the analysis of data obtained from the United States Department of Agriculture (USDA) and Wikipedia, a statistically significant correlation was observed. The findings reveal a correlation coefficient of 0.8233284 with a p-value of less than 0.01 for the period from 2000 to 2022, thereby establishing a strong association between these seemingly disparate elements. Additionally, this paper explores potential factors such as soybean crop yield, hotdog bun texture, and competitive eating prowess that may contribute to the observed correlation. The implications of these findings may shed light on the wider implications of GMO consumption and could potentially inform the training regimens of competitive eaters.

[[INTRODUCTION]]
The consumption of hotdogs, a beloved American pastime, has become a competitive sport in recent years, with athletes pushing the boundaries of gastric capacity in events such as Nathan's Hot Dog Eating Competition. On the other hand, the widespread adoption of genetically modified organisms (GMOs) in soybean cultivation has significantly impacted agricultural practices, particularly in states like Nebraska, known for its vast soybean fields. This paper aims to shed light on the unexpected correlation between these two seemingly unrelated phenomena and explore the potential factors that may underlie this connection.
The history of the hotdog is a storied and relished tale, deeply intertwined with American culture and cuisine. Similarly, GMOs have sparked debates and controversies, often sowing the seeds of discourse within agricultural and environmental circles. Despite these disparate origins, our research endeavors to bridge the gap between these two realms and uncover any potential links that may exist.
We are not merely wading into the shallow end of the academic pool; rather, we are diving headfirst into the enigmatic and often sausage-filled waters of hotdog-eating competitions and the agricultural landscape of soybean cultivation. Through rigorous statistical analysis and a healthy serving of whimsy, our study seeks to unravel the tangled web of associations between GMO soybeans and the consumptive feats of hotdog champions. So, buckle up and prepare for a wild ride through the fields of soy and the arenas of competitive eating. We assure you, dear reader, that the findings of this study are nothing to be taken lightly.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

As we embarked on this flavorful journey of connecting GMO soybeans and hotdog consumption, our research team employed a meticulous and unconventional mix of data collection methods. First, we scoured the depths of the internet, navigating through the crisscrossing virtual highways in search of relevant data. The majority of our data was drawn from reliable sources such as the United States Department of Agriculture (USDA) and the ever-handy Wikipedia. Though some may raise their eyebrows at our reliance on Wikipedia, rest assured, we exercised caution and cross-referenced information to ensure data integrity.

To quantify the extent of GMO soybean usage in Nebraska, we delved into USDA reports, grappled with agricultural statistics, and braved the labyrinthine maze of crop yield data. Our team members were armed with calculators, spreadsheets, and an unrelenting determination to unearth the soybean-related truths that lurked within the data.

In the realm of competitive eating statistics, we turned to a delectable array of sources to gather information on hotdog consumption at Nathan's Hot Dog Eating Competition. From video archives of stomach-churning feats to historical records of bratwurst battles, we left no bun unturned in our search for consumption data.

With data in hand, we employed advanced statistical analysis methods to perform a thorough examination of the relationship between GMO soybean usage in Nebraska and the number of hotdogs consumed by the reigning champion of Nathan's Hot Dog Eating Competition. Our analysis took into account temporal trends from the year 2000 to 2022, allowing us to capture the evolutionary dynamics of both soybean production and competitive hotdog consumption over time.

In our statistical analyses, we utilized correlation coefficients and p-values to quantify the strength of the relationship between GMO soybean usage and hotdog consumption. Our calculations were subjected to rigorous scrutiny, with our statistical models undergoing more validation tests than a hotdog in a taste test competition.

Additionally, we explored potential confounding variables, such as hotdog bun textures, condiment preferences, and the competitive eating prowess of champions. Through this multi-faceted analysis, we aimed to uncover the underlying factors that might contribute to the observed relationship between GMO soybeans and hotdog consumption.

In summary, our methodology involved a fusion of internet sleuthing, data wrangling, statistical acrobatics, and a healthy dose of skepticism. Our research team approached this investigation with a spirit of curiosity, eager to sink our teeth into the tantalizing mystery of buns and beans.

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 GMO use in soybeans in Nebraska 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]]
"Buns and Beans: Exploring the Link Between GMO Soybeans in Nebraska and Nathan's Hot Dog Eating Competition Champion's Consumption"

[[ABSTRACT]]
In this paper, the connection between the usage of genetically modified organisms (GMO) in soybeans in the great state of Nebraska and the net number of hotdogs consumed by the reigning champion of Nathan's Hot Dog Eating Competition is meticulously examined. Through the analysis of data obtained from the United States Department of Agriculture (USDA) and Wikipedia, a statistically significant correlation was observed. The findings reveal a correlation coefficient of 0.8233284 with a p-value of less than 0.01 for the period from 2000 to 2022, thereby establishing a strong association between these seemingly disparate elements. Additionally, this paper explores potential factors such as soybean crop yield, hotdog bun texture, and competitive eating prowess that may contribute to the observed correlation. The implications of these findings may shed light on the wider implications of GMO consumption and could potentially inform the training regimens of competitive eaters.

[[LITERATURE REVIEW]]
In their seminal work, Smith et al. (2015) conducted a comprehensive analysis of GMO soybean production in Nebraska, delving into the socio-economic impacts and agricultural practices associated with the widespread adoption of genetically engineered crops. Their study highlights the significant increase in soybean yield and the corresponding utilization of GMO soybeans in various food products, including the ubiquitous hotdog.
Furthermore, Doe and Jones (2018) examined the physiological effects of consuming hotdogs, emphasizing the potential implications for competitive eaters and the broader implications for gastrointestinal health. Their research illustrates the intricate relationship between processed meat consumption and the performance of competitive eaters in renowned eating competitions such as Nathan's Hot Dog Eating Contest.
In "The Soybean Chronicles: A Historical Perspective" by Anderson (2014), the author provides a comprehensive overview of the cultivation and utilization of soybeans throughout history, offering valuable insights into the technological advancements, including the proliferation of GMO soybeans in modern agriculture. This comprehensive resource serves as a foundation for understanding the cultural and economic significance of soybeans and their derivatives, including the beloved hotdog.
Moving to fictional literature, "Hotdogs and Genetic Mysteries" by Christie (2016) weaves a thrilling narrative that intertwines the world of competitive eating with clandestine genetic engineering experiments involving soybeans. While a work of fiction, the novel sparks curiosity and speculation about the potential interplay between GMO soybeans and the insatiable appetites of hotdog aficionados.
On a tangentially-related note, the board game "Agricola: Farmers of the Moor" provides a simulated experience of agricultural management and resource allocation, offering an indirect reflection of the complexities of soybean production and its real-world implications. While the game does not explicitly touch upon hotdog consumption, it serves as a lighthearted reminder of the multifaceted nature of agricultural practices.
As we traverse through the landscape of literature and scholarly discourse pertaining to GMO soybeans and hotdog consumption, it becomes evident that the intersection of these seemingly disparate entities yields a rich tapestry of interdisciplinary connections and speculative inquiries. The synthesis of empirical research, fictional narratives, and playful diversions invites us to ponder the enigmatic relationships that underpin the consumption of hotdogs and the cultivation of GMO soybeans.

[[RESULTS]]
The analysis of the data collected from various sources, including the United States Department of Agriculture (USDA) and our good old friend, Wikipedia, revealed a remarkable connection between the usage of GMO soybeans in Nebraska and the hotdog consumption habits of the Nathan's Hot Dog Eating Competition Champion. Our team's Herculean efforts have led to the unearthing of a correlation coefficient of 0.8233284, a substantial r-squared value of 0.6778696, and a p-value of less than 0.01 for the period spanning from 2000 to 2022. Like a well-assembled hotdog, this correlation is undeniably significant and sticks together beautifully, much to our surprise.
Figure 1 presents a scatterplot illustrating the strong correlation between the two variables. Although the figure's location remains a mystery at this point, we can assure you that it beautifully encapsulates the hot-and-spicy relationship between GMO soybeans and hotdog consumption.
These findings not only raise eyebrows but also invite further musings on the mechanisms underlying this unexpected interconnectedness. We have teased apart the buns and beans to uncover this intriguing correlation, leaving us to ponder the implications of our discovery.
In conclusion, the results of this study elucidate a remarkable association between the adoption of GMO soybeans in Nebraska and the astonishing intake of hotdogs by the reigning champion of Nathan's Hot Dog Eating Competition. These novel findings open a proverbial can of worms, or should we say, a jar of relish, in the domain of GMO consumption and its potential impact on competitive eating. The implications of these results resonate far beyond the confines of scientific inquiry and may even flavor the strategies of future competitive eaters.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The findings of this study provide compelling evidence of a robust association between the utilization of GMO soybeans in Nebraska and the prodigious consumption of hotdogs by the reigning champion of Nathan's Hot Dog Eating Competition. This correlation, akin to the perfect fusion of ketchup and mustard, underscores the multifaceted interplay between agricultural practices and competitive eating endeavors.

Our results echo the sentiments put forth by Smith et al. (2015), who emphasized the far-reaching ramifications of GMO soybean production in Nebraska. The notable increase in soybean yield due to the advent of genetically engineered crops aligns with our observations, substantiating the substantial impact of GMO adoption on hotdog-related activities. Furthermore, the insights offered by Doe and Jones (2018) regarding the physiological effects of hotdog consumption resonate with our findings, illuminating the intricate nexus between processed meat intake and the unparalleled feats of competitive eaters in renowned eating contests.

In a delightful resonance with the literary review, "The Soybean Chronicles: A Historical Perspective" by Anderson (2014) provides indispensable contextualization of the cultural and economic significance of soybeans, implicitly highlighting their influence on the hotdog landscape. While Christie's (2016) work may exist in the realm of fiction, it inadvertently sparks contemplation of the potential synergies between genetic manipulation of soybeans and the insatiable appetites of hotdog connoisseurs. As for "Agricola: Farmers of the Moor," while primarily a source of mirthful diversion, it underscores the intricacies of agricultural management, serving as a whimsical conduit to the complex web of soybean production and its tangential implications for hotdog enthusiasts.

Our team's diligent endeavors have laid bare the unmistakable correlation between GMO soybeans and the consummate consumption of hotdogs, akin to the harmonious blending of toppings on a well-dressed frankfurter. The implications of this correlation extend beyond the realm of gastronomic curiosities, resonating with broader discourses surrounding GMO consumption and its unforeseen ramifications. As we continue to unravel the enigmatic connections between agricultural practices and culinary indulgences, the findings of this study invite further exploration and contemplation, akin to pondering the provenance of an elusive hotdog condiment.

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 GMO use in soybeans in Nebraska 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]]
"Buns and Beans: Exploring the Link Between GMO Soybeans in Nebraska and Nathan's Hot Dog Eating Competition Champion's Consumption"

[[ABSTRACT]]
In this paper, the connection between the usage of genetically modified organisms (GMO) in soybeans in the great state of Nebraska and the net number of hotdogs consumed by the reigning champion of Nathan's Hot Dog Eating Competition is meticulously examined. Through the analysis of data obtained from the United States Department of Agriculture (USDA) and Wikipedia, a statistically significant correlation was observed. The findings reveal a correlation coefficient of 0.8233284 with a p-value of less than 0.01 for the period from 2000 to 2022, thereby establishing a strong association between these seemingly disparate elements. Additionally, this paper explores potential factors such as soybean crop yield, hotdog bun texture, and competitive eating prowess that may contribute to the observed correlation. The implications of these findings may shed light on the wider implications of GMO consumption and could potentially inform the training regimens of competitive eaters.

[[INTRDUCTION]]
The consumption of hotdogs, a beloved American pastime, has become a competitive sport in recent years, with athletes pushing the boundaries of gastric capacity in events such as Nathan's Hot Dog Eating Competition. On the other hand, the widespread adoption of genetically modified organisms (GMOs) in soybean cultivation has significantly impacted agricultural practices, particularly in states like Nebraska, known for its vast soybean fields. This paper aims to shed light on the unexpected correlation between these two seemingly unrelated phenomena and explore the potential factors that may underlie this connection.
The history of the hotdog is a storied and relished tale, deeply intertwined with American culture and cuisine. Similarly, GMOs have sparked debates and controversies, often sowing the seeds of discourse within agricultural and environmental circles. Despite these disparate origins, our research endeavors to bridge the gap between these two realms and uncover any potential links that may exist.
We are not merely wading into the shallow end of the academic pool; rather, we are diving headfirst into the enigmatic and often sausage-filled waters of hotdog-eating competitions and the agricultural landscape of soybean cultivation. Through rigorous statistical analysis and a healthy serving of whimsy, our study seeks to unravel the tangled web of associations between GMO soybeans and the consumptive feats of hotdog champions. So, buckle up and prepare for a wild ride through the fields of soy and the arenas of competitive eating. We assure you, dear reader, that the findings of this study are nothing to be taken lightly.

[[RESULTS]]
The analysis of the data collected from various sources, including the United States Department of Agriculture (USDA) and our good old friend, Wikipedia, revealed a remarkable connection between the usage of GMO soybeans in Nebraska and the hotdog consumption habits of the Nathan's Hot Dog Eating Competition Champion. Our team's Herculean efforts have led to the unearthing of a correlation coefficient of 0.8233284, a substantial r-squared value of 0.6778696, and a p-value of less than 0.01 for the period spanning from 2000 to 2022. Like a well-assembled hotdog, this correlation is undeniably significant and sticks together beautifully, much to our surprise.
Figure 1 presents a scatterplot illustrating the strong correlation between the two variables. Although the figure's location remains a mystery at this point, we can assure you that it beautifully encapsulates the hot-and-spicy relationship between GMO soybeans and hotdog consumption.
These findings not only raise eyebrows but also invite further musings on the mechanisms underlying this unexpected interconnectedness. We have teased apart the buns and beans to uncover this intriguing correlation, leaving us to ponder the implications of our discovery.
In conclusion, the results of this study elucidate a remarkable association between the adoption of GMO soybeans in Nebraska and the astonishing intake of hotdogs by the reigning champion of Nathan's Hot Dog Eating Competition. These novel findings open a proverbial can of worms, or should we say, a jar of relish, in the domain of GMO consumption and its potential impact on competitive eating. The implications of these results resonate far beyond the confines of scientific inquiry and may even flavor the strategies of future competitive eaters.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In the illustrious tradition of sleuthing out correlations, our findings open up a whole new can of, well, soybeans and hotdogs. The robust association between GMO soybeans in Nebraska and the staggering hotdog consumption by the reigning champion of Nathan's Hot Dog Eating Competition is as surprising as finding a pickle in the middle of a hotdog bun.

Our data, like a perfectly grilled hotdog, has left us with more questions than answers. While we have unraveled this curious connection, the underlying mechanisms remain as mysterious as the secret sauce on a classic hotdog. The potential implications of this link could resonate far beyond the world of competitive eating, perhaps even influencing agricultural practices and food consumption habits in unforeseen ways.

With our groundbreaking research and tongue firmly planted in cheek, we can confidently assert that no further exploration is needed in this peculiar intersection of GMO soybeans and hotdog consumption. It seems we've given it a good old college try, and the results are certainly nothing to ketchup about.

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 Buns and Beans: Exploring the Link Between GMO Soybeans in Nebraska and Nathan's Hot Dog Eating Competition Champion's Consumption. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Agricultural Gastronomy

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 Buns and Beans: Exploring the Link Between GMO Soybeans in Nebraska and Nathan's Hot Dog Eating Competition Champion's Consumption. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Agricultural Advancements and Culinary Connections

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 Buns and Beans: Exploring the Link Between GMO Soybeans in Nebraska and Nathan's Hot Dog Eating Competition Champion's Consumption with an abstract of In this paper, the connection between the usage of genetically modified organisms (GMO) in soybeans in the great state of Nebraska and the net number of hotdogs consumed by the reigning champion of Nathan's Hot Dog Eating Competition is meticulously examined. Through the analysis of data obtained from the United States Department of Agriculture (USDA) and Wikipedia, a statistically significant correlation was observed. The findings reveal a correlation coefficient of 0.8233284 with a p-value of less than 0.01 for the period from 2000 to 2022, thereby establishing a strong association between these seemingly disparate elements. Additionally, this paper explores potential factors such as soybean crop yield, hotdog bun texture, and competitive eating prowess that may contribute to the observed correlation. The implications of these findings may shed light on the wider implications of GMO consumption and could potentially inform the training regimens of competitive eaters.

ChatGPT:

GMO soybeans, Nebraska, Nathan's Hot Dog Eating Competition, hotdog consumption, genetically modified organisms, soybean crop yield, hotdog bun texture, competitive eating prowess, USDA data, correlation coefficient, GMO consumption, training regimens competitive eaters

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

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Data details

GMO use in soybeans in Nebraska
Detailed data title: Percent of soybeans planted in Nebraska that are genetically modified to be herbicide-tolerant (HT), but not insect-resistant (Bt)
Source: USDA
See what else correlates with GMO use in soybeans in Nebraska

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 = 0.8233284 (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 = 0.6778696 (Coefficient of determination)
This means 67.8% 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., GMO use in soybeans in Nebraska) over the 23 years from 2000 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.4E-6.^Show 0.0000013990581840745997000000
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 0.82 in 0.00014% of random cases. Said differently, if you correlated 714,767 random variables^Note You don't actually need 714 thousand 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 22 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 22 because we have two variables measured over a period of 23 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.

[ 0.62, 0.92 ] 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.

	2000	2001	2002	2003	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021	2022
GMO use in soybeans in Nebraska (GMO soybeans %)	72	76	85	86	92	91	90	96	97	96	94	97	95	96	95	95	96	94	96	95	96	96	96
Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion (Hotdogs eaten)	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	63

Why this works

Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
Lack of causal connection: There is probably^Note Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple^Note Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is.
Y-axis doesn't start at zero: I truncated the Y-axes of the graph above. I also used a line graph, which makes the visual connection stand out more than it deserves. ^Note Nothing against line graphs. They are great at telling a story when you have linear data! But visually it is deceptive because the only data is at the points on the graph, not the lines on the graph. In between each point, the data could have been doing anything. Like going for a random walk by itself!
Mathematically what I showed is true, but it is intentionally misleading. Below is the same chart but with both Y-axes starting at zero.

Try it yourself

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

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

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

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

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

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

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

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

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

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

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

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

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

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([72,76,85,86,92,91,90,96,97,96,94,97,95,96,95,95,96,94,96,95,96,96,96,])
array_2 = np.array([25,50,50.5,44.5,53.33,49,53.75,66,59,68,54,62,68,69,61,62,70,72,74,71,75,76,63,])
array_1_name = "GMO use in soybeans in Nebraska"
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 GMO use in soybeans in Nebraska
Line chart for only Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion
AI-generated correlation image
The spurious research paper: Buns and Beans: Exploring the Link Between GMO Soybeans in Nebraska and Nathan's Hot Dog Eating Competition Champion's Consumption

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Correlation ID: 2473 · Black Variable ID: 822 · Red Variable ID: 500


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