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AI explanation
As the GMO soybeans in Michigan grew larger and larger, they developed an unexpected ability to absorb and store small amounts of ambient static electricity. Over time, these supercharged soybeans essentially became tiny, green energy sources. When shipped to Antigua and Barbuda for processing, the sheer quantity of electrified soybeans entering the country created a bizarre but undeniably potent power surge. This shocking development not only revolutionized the local agricultural industry, but also sparked a new era of renewable, soy-powered electricity generation on the idyllic islands. As a result, Antigua and Barbuda unintentionally became pioneers in the field of agriclectricity - a groundbreaking fusion of agriculture and electrical power that left the world both amused and bemused. So, the soybean's transformation from humble legume to electrifying crop not only illuminated the fields of Antigua and Barbuda, but also brightened the future of sustainable energy in ways no one could have bean predicted.
Model: dalle-3
Prompt: Generate an image of a sunlit field in Michigan, with a farmer caring for tall soybean plants lined in perfectly straight rows. Some of the plants have intricate genetic modification features, subtly glimmering in the sunlight. In the distance, there's a serene view of the Antigua and Barbuda shore, where a group of sleek wind turbines gracefully spin, harnessing the gentle breeze and supplying electricity for the vibrant island. The scene captures the harmonious blend of nature and technology, presenting a compelling contrast between traditional farming practices and sustainable energy generation. 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 Michigan and Electricity generation in Antigua and Barbuda. 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: Celtic art Cutsy art illustration Macabre Sci-fi fantacy Scalar art
ChatGPT: Sci-fi fantasy
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 Michigan and Electricity generation in Antigua and Barbuda together. Keep the description simple.
ChatGPT: In a sunlit field in Michigan, a farmer tends to rows of tall soybean plants. Some of the plants have labels indicating they are GMO varieties. In the distance, on the shore of Antigua and Barbuda, a group of wind turbines spin gracefully, producing electricity for the island.
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: [ Sci-fi fantasy ] and depicting this scene: In a sunlit field in Michigan, a farmer tends to rows of tall soybean plants. Some of the plants have labels indicating they are GMO varieties. In the distance, on the shore of Antigua and Barbuda, a group of wind turbines spin gracefully, producing electricity for the island. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a sunlit field in Michigan, with a farmer caring for tall soybean plants lined in perfectly straight rows. Some of the plants have intricate genetic modification features, subtly glimmering in the sunlight. In the distance, there's a serene view of the Antigua and Barbuda shore, where a group of sleek wind turbines gracefully spin, harnessing the gentle breeze and supplying electricity for the vibrant island. The scene captures the harmonious blend of nature and technology, presenting a compelling contrast between traditional farming practices and sustainable energy generation.
*Variations in the User Prompts from chart to chart are just the result of random number generation in Python. I wrote a few arrays of various styles and methods to ask questions to change up the results. Every time this site writes an explanation or generates an image, the script picks from each at random.
I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in GMO use in soybeans in Michigan caused Electricity generation in Antigua and Barbuda to increase.
AI academic paper
 |
Soybean GMO's Shock: Powering Up Antigua and Barbuda with Michigan Juice The Journal of Agricultural Innovation and Sustainable Development Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You write titles and abstracts of goofy academic research papers.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, and add unexpected twists in your writing.
Please draft the title and abstract of an academic research paper presenting the findings of the connection between GMO use in soybeans in Michigan and Electricity generation in Antigua and Barbuda. Make lots of jokes, goofy observations, and puns.
Rhyme words in the title.
Your research team used data from USDA and Energy Information Administration to assess this nagging question. You found a correlation coefficient of 0.9443079 and p < 0.01 for 2000 to 2021.
Please respond in this format (replace "Lorem ipsum dolor sit" with your title and abstract)
[[TITLE]]
Lorem ipsum dolor sit
[[ABSTRACT]]
Lorem ipsum dolor sit
ChatGPT:
[[TITLE]]
Soybean GMO's Shock: Powering Up Antigua and Barbuda with Michigan Juice
[[ABSTRACT]]
Soybean GMOs have long been a topic of heated debate, but perhaps their power reaches well beyond the confines of agriculture. This research delves into the electrifying link between soybean GMO use in Michigan and electricity generation in the sunny paradise of Antigua and Barbuda. Using rigorous data analysis from the USDA and the Energy Information Administration, we unveiled a correlation coefficient of 0.9443079 and a p-value of less than 0.01 for the period spanning 2000 to 2021. Our findings illuminate a shocking connection that leaves us pondering whether soybeans are secretly the seed of power for islands. This study sheds light on the electrifying potential of genetically modified soybeans and leaves us charged with excitement for future research in this electrifying field.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the introduction section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the introduction section of an academic research paper presenting the findings of the connection between GMO use in soybeans in Michigan and Electricity generation in Antigua and Barbuda. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Here is the title and abstract of the paper:
[[TITLE]]
Soybean GMO's Shock: Powering Up Antigua and Barbuda with Michigan Juice
[[ABSTRACT]]
Soybean GMOs have long been a topic of heated debate, but perhaps their power reaches well beyond the confines of agriculture. This research delves into the electrifying link between soybean GMO use in Michigan and electricity generation in the sunny paradise of Antigua and Barbuda. Using rigorous data analysis from the USDA and the Energy Information Administration, we unveiled a correlation coefficient of 0.9443079 and a p-value of less than 0.01 for the period spanning 2000 to 2021. Our findings illuminate a shocking connection that leaves us pondering whether soybeans are secretly the seed of power for islands. This study sheds light on the electrifying potential of genetically modified soybeans and leaves us charged with excitement for future research in this electrifying field.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
Soybeans have been a staple of agricultural production for centuries, and with the advent of genetically modified organisms (GMOs), their potential impact has reached shocking new heights. While the debate over GMOs continues to sizzle, our research aims to shed light on a rather electrifying aspect of soybean GMOs that extends far beyond traditional agricultural discussions.
In this paper, we delve into an unexpected and electrifying connection between soybean GMO use in Michigan and electricity generation in the sun-soaked haven of Antigua and Barbuda. While one may initially assume that these two subjects couldn't be further apart, our findings reveal a surprising link that sends shockwaves through the fields of agriculture and energy. As we embark on this academic exploration, we can't help but chuckle at the unexpected crossover of soybeans and electricity generation. It's as if these soybeans aren't just feeding the world, but also sparking a new energy source.
Drawing on robust data provided by the United States Department of Agriculture (USDA) and the Energy Information Administration, we meticulously analyzed the soybean GMO usage in Michigan and its ripple effect on the electricity generation in Antigua and Barbuda. The statistical analysis yielded a correlation coefficient of 0.9443079 and a p-value of less than 0.01, leaving us with little doubt about the shockingly strong relationship between these seemingly disparate entities. It's as if the soybeans are saying, "Watch me power up these islands!"
As we embark on this journey into uncharted territory, we're electrified by the possibility that soybean GMOs may hold the key to an alternative energy source, or perhaps they're simply sowing the seeds of a zesty new way to think about interconnected agricultural and energy systems. However, let's not get ahead of ourselves – we need to dig into the data and separate the wattage from the chaff.
This study offers a charged perspective that invites us to rethink the potential of genetically modified soybeans and their unanticipated role in the global energy landscape. With each turn of the page, we come closer to untangling the current and potential impact of soybean GMOs on the electrifying world of energy generation in small island states. So, let's plug in and delve into the electrifying journey ahead.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up a literature review section of an academic research paper presenting the findings of the connection between GMO use in soybeans in Michigan and Electricity generation in Antigua and Barbuda. Make lots of jokes, goofy observations, and puns.
Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.
Make up the lorem and ipsum part, but make it sound related to the topic at hand.
Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then cite some social media posts you read that seem to be related.
Here is the title and abstract of the paper:
[[TITLE]]
Soybean GMO's Shock: Powering Up Antigua and Barbuda with Michigan Juice
[[ABSTRACT]]
Soybean GMOs have long been a topic of heated debate, but perhaps their power reaches well beyond the confines of agriculture. This research delves into the electrifying link between soybean GMO use in Michigan and electricity generation in the sunny paradise of Antigua and Barbuda. Using rigorous data analysis from the USDA and the Energy Information Administration, we unveiled a correlation coefficient of 0.9443079 and a p-value of less than 0.01 for the period spanning 2000 to 2021. Our findings illuminate a shocking connection that leaves us pondering whether soybeans are secretly the seed of power for islands. This study sheds light on the electrifying potential of genetically modified soybeans and leaves us charged with excitement for future research in this electrifying field.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
Soybeans have been a staple of agricultural production for centuries, and with the advent of genetically modified organisms (GMOs), their potential impact has reached shocking new heights. While the debate over GMOs continues to sizzle, our research aims to shed light on a rather electrifying aspect of soybean GMOs that extends far beyond traditional agricultural discussions.
In this paper, we delve into an unexpected and electrifying connection between soybean GMO use in Michigan and electricity generation in the sun-soaked haven of Antigua and Barbuda. While one may initially assume that these two subjects couldn't be further apart, our findings reveal a surprising link that sends shockwaves through the fields of agriculture and energy. As we embark on this academic exploration, we can't help but chuckle at the unexpected crossover of soybeans and electricity generation. It's as if these soybeans aren't just feeding the world, but also sparking a new energy source.
Drawing on robust data provided by the United States Department of Agriculture (USDA) and the Energy Information Administration, we meticulously analyzed the soybean GMO usage in Michigan and its ripple effect on the electricity generation in Antigua and Barbuda. The statistical analysis yielded a correlation coefficient of 0.9443079 and a p-value of less than 0.01, leaving us with little doubt about the shockingly strong relationship between these seemingly disparate entities. It's as if the soybeans are saying, "Watch me power up these islands!"
As we embark on this journey into uncharted territory, we're electrified by the possibility that soybean GMOs may hold the key to an alternative energy source, or perhaps they're simply sowing the seeds of a zesty new way to think about interconnected agricultural and energy systems. However, let's not get ahead of ourselves – we need to dig into the data and separate the wattage from the chaff.
This study offers a charged perspective that invites us to rethink the potential of genetically modified soybeans and their unanticipated role in the global energy landscape. With each turn of the page, we come closer to untangling the current and potential impact of soybean GMOs on the electrifying world of energy generation in small island states. So, let's plug in and delve into the electrifying journey ahead.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
The electrifying link between soybean GMO use in Michigan and electricity generation in Antigua and Barbuda has been an underexplored area of research, with the potential to shed light on a shocking correlation between two seemingly unrelated domains. Smith et al. (2015) conducted a comprehensive analysis of soybean cultivation in the Midwest region, with a focus on the prevalence of GMO varieties. Their findings suggested a significant increase in GMO soybean adoption rates over the past decade, sparking interest in the potential ramifications beyond traditional agricultural concerns. Meanwhile, Doe and Jones (2018) delved into the energy landscape of small island states, highlighting the challenges and opportunities in electricity generation. Little did these researchers suspect that their seemingly disparate work would converge in a tale of soybean-powered islands.
Turning to more general sources, "The Omniscient Soybean: A Comprehensive Guide" by Peter Green and "Electric Dreams: Powering the Future" by Sarah Watts provide broader insights into these interconnected topics. The former delves into the intricacies of soybean genetics and cultivation, while the latter explores the evolving landscape of energy generation and sustainable practices. These foundational texts serve as a springboard for our understanding of the intertwined nature of soybeans and electricity, albeit unintentionally aligning with our unforeseen journey into this unexpected union of green beans and power dreams.
In a surprising twist, the fiction novel "Soybeans at Sunset" by Amy Watterson and "The Electric Soybean Chronicles" by Mark Johnson seem, at first glance, to be whimsical tales unrelated to our scholarly pursuits. However, upon closer inspection, the serendipitous themes of agricultural innovation and electrical marvels woven into these narratives offer an uncanny parallel to our research theme. While we don't advocate for building a research framework based on fictional works, the sheer coincidence of these titles adds a lighthearted flair to our exploration of soybeans and electricity.
Not to be overlooked, social media platforms have also provided unexpected insights. In a tweet by @EcoEnergyEnthusiast, the user humorously mused, "Who knew soybeans could power up islands? They're really earning their 'soy-lectric' reputation now! #PowerBeans #SoySurprise." This seemingly frivolous remark, while delivered in jest, inadvertently captures the playful spirit that underlies our endeavor to unravel the electrifying mysteries of soybean GMOs and their unforeseen role in powering up island nations.
As we navigate through this electrifying literature, we find ourselves propelled by the unexpected convergence of seemingly incongruent domains. The pulse of soybean GMOs, intertwined with the charge of electricity generation, beckons us to embrace the voltage of this unconventional discovery and sparks a renewed enthusiasm for unearthing the hidden connections that underpin our world. With a wink and a nod to the improbable pairing of soybeans and electricity, we forge ahead to illuminate this unsuspecting alliance with scholarly rigor and a touch of whimsy.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the methodology section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the methodology section of an academic research paper presenting the findings of the connection between GMO use in soybeans in Michigan and Electricity generation in Antigua and Barbuda. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Your research team collected data from all across the internet, but mostly just used information from USDA and Energy Information Administration . You used data from 2000 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]]
Soybean GMO's Shock: Powering Up Antigua and Barbuda with Michigan Juice
[[ABSTRACT]]
Soybean GMOs have long been a topic of heated debate, but perhaps their power reaches well beyond the confines of agriculture. This research delves into the electrifying link between soybean GMO use in Michigan and electricity generation in the sunny paradise of Antigua and Barbuda. Using rigorous data analysis from the USDA and the Energy Information Administration, we unveiled a correlation coefficient of 0.9443079 and a p-value of less than 0.01 for the period spanning 2000 to 2021. Our findings illuminate a shocking connection that leaves us pondering whether soybeans are secretly the seed of power for islands. This study sheds light on the electrifying potential of genetically modified soybeans and leaves us charged with excitement for future research in this electrifying field.
[[INTRODUCTION]]
Soybeans have been a staple of agricultural production for centuries, and with the advent of genetically modified organisms (GMOs), their potential impact has reached shocking new heights. While the debate over GMOs continues to sizzle, our research aims to shed light on a rather electrifying aspect of soybean GMOs that extends far beyond traditional agricultural discussions.
In this paper, we delve into an unexpected and electrifying connection between soybean GMO use in Michigan and electricity generation in the sun-soaked haven of Antigua and Barbuda. While one may initially assume that these two subjects couldn't be further apart, our findings reveal a surprising link that sends shockwaves through the fields of agriculture and energy. As we embark on this academic exploration, we can't help but chuckle at the unexpected crossover of soybeans and electricity generation. It's as if these soybeans aren't just feeding the world, but also sparking a new energy source.
Drawing on robust data provided by the United States Department of Agriculture (USDA) and the Energy Information Administration, we meticulously analyzed the soybean GMO usage in Michigan and its ripple effect on the electricity generation in Antigua and Barbuda. The statistical analysis yielded a correlation coefficient of 0.9443079 and a p-value of less than 0.01, leaving us with little doubt about the shockingly strong relationship between these seemingly disparate entities. It's as if the soybeans are saying, "Watch me power up these islands!"
As we embark on this journey into uncharted territory, we're electrified by the possibility that soybean GMOs may hold the key to an alternative energy source, or perhaps they're simply sowing the seeds of a zesty new way to think about interconnected agricultural and energy systems. However, let's not get ahead of ourselves – we need to dig into the data and separate the wattage from the chaff.
This study offers a charged perspective that invites us to rethink the potential of genetically modified soybeans and their unanticipated role in the global energy landscape. With each turn of the page, we come closer to untangling the current and potential impact of soybean GMOs on the electrifying world of energy generation in small island states. So, let's plug in and delve into the electrifying journey ahead.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To unravel the electrifying connection between soybean GMO use in Michigan and electricity generation in Antigua and Barbuda, we employed a multifaceted approach that combined rigorous data collection, statistical analysis, and a dash of humor to keep ourselves charged with enthusiasm throughout the research process.
First, we scoured the vast expanse of the internet, navigating through the digital fields and electronic currents, to collect comprehensive data on soybean GMO usage in Michigan. Our team tirelessly combed through databases and reports, occasionally pausing to sip on soy lattes for sustenance and inspiration. The primary source of soybean GMO data was the United States Department of Agriculture (USDA), which provided a bountiful harvest of information spanning the years 2000 to 2021. We cross-referenced this data with various agricultural publications, and at times, we even consulted with a talking soybean plush toy for advice – although its suggestions were mainly soy-based puns.
For the electrifying side of the equation, we tapped into the power grid of information from the Energy Information Administration to gather data on electricity generation in the sun-drenched oasis of Antigua and Barbuda. We felt a jolt of excitement as we delved into kilowatt-hour statistics, power plant capacities, and renewable energy sources, all the while resisting the urge to make electricity-related puns – it's ohm to be serious, after all.
After amassing our data like a true harvest, we embarked on a robust statistical analysis that would make even the most stoic researcher crack a smile. Utilizing the correlation coefficient, we quantified the relationship between soybean GMO usage in Michigan and electricity generation in Antigua and Barbuda. The p-value, our trusty companion in the world of statistical significance, supported our findings with a level of certainty that was positively shocking.
In order to ensure the validity and reliability of our findings, we employed various statistical tests to scrutinize the data, ensuring that we were not just running on pure caffeine-fueled enthusiasm. We verified our results through sensitivity analyses, outlier detection, and rigorous model diagnostics – though we admit, we did throw in a few soybean-themed puns to keep ourselves amused. After all, statistical analyses can be bean counting at times!
In the end, our methodology was anchored in a meticulous data collection process, fortified by statistical analyses, and seasoned with just the right amount of humor to keep our spirits high as we navigated the uncharted waters of soybeans and electricity. With our methodological compass firmly in hand, we set sail on an electrifying quest that illuminated the hidden potential of soybean GMOs in powering up the world of energy generation.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the results section of an academic research paper. You speak in the past tense (you found...).
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the results section of an academic research paper presenting the findings of the connection between GMO use in soybeans in Michigan and Electricity generation in Antigua and Barbuda. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Your research team collected data from all across the internet, but mostly just used information from USDA and Energy Information Administration .
For the time period 2000 to 2021, you found a correlation 0.9443079, r-squared of 0.8917173, and p < 0.01.
One figure will be included. The figure (Fig. 1) is a scatterplot showing the strong correlation between the two variables. You don't need to specify where; I will add the figure.
Here is the title and abstract of the paper:
[[TITLE]]
Soybean GMO's Shock: Powering Up Antigua and Barbuda with Michigan Juice
[[ABSTRACT]]
Soybean GMOs have long been a topic of heated debate, but perhaps their power reaches well beyond the confines of agriculture. This research delves into the electrifying link between soybean GMO use in Michigan and electricity generation in the sunny paradise of Antigua and Barbuda. Using rigorous data analysis from the USDA and the Energy Information Administration, we unveiled a correlation coefficient of 0.9443079 and a p-value of less than 0.01 for the period spanning 2000 to 2021. Our findings illuminate a shocking connection that leaves us pondering whether soybeans are secretly the seed of power for islands. This study sheds light on the electrifying potential of genetically modified soybeans and leaves us charged with excitement for future research in this electrifying field.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
Soybeans have been a staple of agricultural production for centuries, and with the advent of genetically modified organisms (GMOs), their potential impact has reached shocking new heights. While the debate over GMOs continues to sizzle, our research aims to shed light on a rather electrifying aspect of soybean GMOs that extends far beyond traditional agricultural discussions.
In this paper, we delve into an unexpected and electrifying connection between soybean GMO use in Michigan and electricity generation in the sun-soaked haven of Antigua and Barbuda. While one may initially assume that these two subjects couldn't be further apart, our findings reveal a surprising link that sends shockwaves through the fields of agriculture and energy. As we embark on this academic exploration, we can't help but chuckle at the unexpected crossover of soybeans and electricity generation. It's as if these soybeans aren't just feeding the world, but also sparking a new energy source.
Drawing on robust data provided by the United States Department of Agriculture (USDA) and the Energy Information Administration, we meticulously analyzed the soybean GMO usage in Michigan and its ripple effect on the electricity generation in Antigua and Barbuda. The statistical analysis yielded a correlation coefficient of 0.9443079 and a p-value of less than 0.01, leaving us with little doubt about the shockingly strong relationship between these seemingly disparate entities. It's as if the soybeans are saying, "Watch me power up these islands!"
As we embark on this journey into uncharted territory, we're electrified by the possibility that soybean GMOs may hold the key to an alternative energy source, or perhaps they're simply sowing the seeds of a zesty new way to think about interconnected agricultural and energy systems. However, let's not get ahead of ourselves – we need to dig into the data and separate the wattage from the chaff.
This study offers a charged perspective that invites us to rethink the potential of genetically modified soybeans and their unanticipated role in the global energy landscape. With each turn of the page, we come closer to untangling the current and potential impact of soybean GMOs on the electrifying world of energy generation in small island states. So, let's plug in and delve into the electrifying journey ahead.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The correlation analysis conducted to ascertain the relationship between GMO use in soybeans in Michigan and electricity generation in Antigua and Barbuda yielded a surprising coefficient of 0.9443079, demonstrating a strong positive correlation. This coefficient indicates that as GMO use in soybeans in Michigan increased, electricity generation in Antigua and Barbuda also exhibited a notable increase. It's as if the soybeans were juicing up the islands with their electrifying potential!
Additionally, the r-squared value of 0.8917173 highlights that approximately 89.17% of the variation in electricity generation in Antigua and Barbuda can be explained by changes in GMO use in soybeans in Michigan. These findings suggest that the influence of soybean GMOs on electricity generation goes well beyond a mere flicker, indicating a substantial and consistent relationship.
The p-value of less than 0.01 further supports the robustness of this relationship, indicating that the observed correlation is statistically significant. This means that the likelihood of obtaining a correlation of this magnitude by chance is less than 1%, lending further credibility to our findings. It's as if the soybeans and electricity generation in Antigua and Barbuda were not just passing sparks in the night, but engaged in a serious, long-term relationship!
Adding a touch of visual flair to our analysis, the accompanying scatterplot (Fig. 1) provides a vivid depiction of the strong, positively sloped relationship between GMO use in soybeans in Michigan and electricity generation in Antigua and Barbuda. The plot clearly illustrates the electrifying connection between these seemingly unrelated variables, leaving us with a visual reminder that sometimes, the most unexpected pairings can yield the most enlightening discoveries.
In light of these robust statistical findings, it is evident that the soybean GMOs of Michigan harbor a potential that extends far beyond the realm of agriculture, extending its influence to the shocking world of electricity generation in Antigua and Barbuda. These results not only generate a buzz in both the agricultural and energy sectors but also hint at the potential for soybean GMOs to power up unexpected corners of the world. This electrifying association between soybean GMOs and electricity generation leaves us with an electrifying thought – perhaps the future of power lies in the kernels of these transformed soybeans. It's not just a matter of plant-based diets; it's about cultivating a new era of energy generation.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the discussion section of an academic research paper presenting the findings of the connection between GMO use in soybeans in Michigan and Electricity generation in Antigua and Barbuda. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Limit your response to 500 tokens.
Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.
Do not write a conclusion. I will add a conclusion after this.
[[TITLE]]
Soybean GMO's Shock: Powering Up Antigua and Barbuda with Michigan Juice
[[ABSTRACT]]
Soybean GMOs have long been a topic of heated debate, but perhaps their power reaches well beyond the confines of agriculture. This research delves into the electrifying link between soybean GMO use in Michigan and electricity generation in the sunny paradise of Antigua and Barbuda. Using rigorous data analysis from the USDA and the Energy Information Administration, we unveiled a correlation coefficient of 0.9443079 and a p-value of less than 0.01 for the period spanning 2000 to 2021. Our findings illuminate a shocking connection that leaves us pondering whether soybeans are secretly the seed of power for islands. This study sheds light on the electrifying potential of genetically modified soybeans and leaves us charged with excitement for future research in this electrifying field.
[[LITERATURE REVIEW]]
The electrifying link between soybean GMO use in Michigan and electricity generation in Antigua and Barbuda has been an underexplored area of research, with the potential to shed light on a shocking correlation between two seemingly unrelated domains. Smith et al. (2015) conducted a comprehensive analysis of soybean cultivation in the Midwest region, with a focus on the prevalence of GMO varieties. Their findings suggested a significant increase in GMO soybean adoption rates over the past decade, sparking interest in the potential ramifications beyond traditional agricultural concerns. Meanwhile, Doe and Jones (2018) delved into the energy landscape of small island states, highlighting the challenges and opportunities in electricity generation. Little did these researchers suspect that their seemingly disparate work would converge in a tale of soybean-powered islands.
Turning to more general sources, "The Omniscient Soybean: A Comprehensive Guide" by Peter Green and "Electric Dreams: Powering the Future" by Sarah Watts provide broader insights into these interconnected topics. The former delves into the intricacies of soybean genetics and cultivation, while the latter explores the evolving landscape of energy generation and sustainable practices. These foundational texts serve as a springboard for our understanding of the intertwined nature of soybeans and electricity, albeit unintentionally aligning with our unforeseen journey into this unexpected union of green beans and power dreams.
In a surprising twist, the fiction novel "Soybeans at Sunset" by Amy Watterson and "The Electric Soybean Chronicles" by Mark Johnson seem, at first glance, to be whimsical tales unrelated to our scholarly pursuits. However, upon closer inspection, the serendipitous themes of agricultural innovation and electrical marvels woven into these narratives offer an uncanny parallel to our research theme. While we don't advocate for building a research framework based on fictional works, the sheer coincidence of these titles adds a lighthearted flair to our exploration of soybeans and electricity.
Not to be overlooked, social media platforms have also provided unexpected insights. In a tweet by @EcoEnergyEnthusiast, the user humorously mused, "Who knew soybeans could power up islands? They're really earning their 'soy-lectric' reputation now! #PowerBeans #SoySurprise." This seemingly frivolous remark, while delivered in jest, inadvertently captures the playful spirit that underlies our endeavor to unravel the electrifying mysteries of soybean GMOs and their unforeseen role in powering up island nations.
As we navigate through this electrifying literature, we find ourselves propelled by the unexpected convergence of seemingly incongruent domains. The pulse of soybean GMOs, intertwined with the charge of electricity generation, beckons us to embrace the voltage of this unconventional discovery and sparks a renewed enthusiasm for unearthing the hidden connections that underpin our world. With a wink and a nod to the improbable pairing of soybeans and electricity, we forge ahead to illuminate this unsuspecting alliance with scholarly rigor and a touch of whimsy.
[[RESULTS]]
The correlation analysis conducted to ascertain the relationship between GMO use in soybeans in Michigan and electricity generation in Antigua and Barbuda yielded a surprising coefficient of 0.9443079, demonstrating a strong positive correlation. This coefficient indicates that as GMO use in soybeans in Michigan increased, electricity generation in Antigua and Barbuda also exhibited a notable increase. It's as if the soybeans were juicing up the islands with their electrifying potential!
Additionally, the r-squared value of 0.8917173 highlights that approximately 89.17% of the variation in electricity generation in Antigua and Barbuda can be explained by changes in GMO use in soybeans in Michigan. These findings suggest that the influence of soybean GMOs on electricity generation goes well beyond a mere flicker, indicating a substantial and consistent relationship.
The p-value of less than 0.01 further supports the robustness of this relationship, indicating that the observed correlation is statistically significant. This means that the likelihood of obtaining a correlation of this magnitude by chance is less than 1%, lending further credibility to our findings. It's as if the soybeans and electricity generation in Antigua and Barbuda were not just passing sparks in the night, but engaged in a serious, long-term relationship!
Adding a touch of visual flair to our analysis, the accompanying scatterplot (Fig. 1) provides a vivid depiction of the strong, positively sloped relationship between GMO use in soybeans in Michigan and electricity generation in Antigua and Barbuda. The plot clearly illustrates the electrifying connection between these seemingly unrelated variables, leaving us with a visual reminder that sometimes, the most unexpected pairings can yield the most enlightening discoveries.
In light of these robust statistical findings, it is evident that the soybean GMOs of Michigan harbor a potential that extends far beyond the realm of agriculture, extending its influence to the shocking world of electricity generation in Antigua and Barbuda. These results not only generate a buzz in both the agricultural and energy sectors but also hint at the potential for soybean GMOs to power up unexpected corners of the world. This electrifying association between soybean GMOs and electricity generation leaves us with an electrifying thought – perhaps the future of power lies in the kernels of these transformed soybeans. It's not just a matter of plant-based diets; it's about cultivating a new era of energy generation.
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Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The results of our study have illuminated an electrifying connection between the use of genetically modified soybeans in Michigan and electricity generation in Antigua and Barbuda, shedding light on a previously underexplored intersection of agriculture and energy. Our findings lend support to prior research, particularly the work of Smith et al. (2015), which highlighted the significant increase in GMO soybean adoption rates in the Midwest region. While their focus was on agricultural impact, our study unveils the surprising collateral effect of this trend on the power dynamics of a small island nation. This unexpected convergence of agricultural and energy domains underscores the interconnectedness of seemingly disparate fields, leaving us charged with enthusiasm for future interdisciplinary inquiries. It's as if the soybeans were silently whispering to us, "We're not just about farming; we're sprouting electrifying possibilities!"
Additionally, the fictional works "Soybeans at Sunset" by Amy Watterson and "The Electric Soybean Chronicles" by Mark Johnson, which we initially approached with a hint of whimsy, unexpectedly parallel the themes unearthed in our research. While we may refrain from building our academic foundation on fictional narratives, the corroboration of these literary works with our empirical findings adds a playful touch to our scholarly pursuit. Sometimes, truth is stranger than fiction – or in this case, electrifyingly on par with it!
Our results not only affirm the surprising connection between soybean GMO use and electricity generation but also underscore the statistical robustness of this relationship. With a correlation coefficient approaching unity and a p-value that defies chance, our findings lend undeniable weight to the notion that soybeans may be sowing the seeds of power in unexpected places. It's as if these soybeans were saying, "We're not just legumes; we're the 'soy-charged' engines of progress!"
Our study's limitations, such as the exclusive focus on a specific time period and geographical scope, warrant acknowledgment, and future research should endeavor to broaden these horizons. Furthermore, additional investigations could delve into the mechanisms underpinning this surprising connection, potentially offering insights into the underlying drivers of this electrifying relationship. With each new discovery, we peel back another layer of the soybean's electrifying potential, revealing a world that pulsates with the unexpected synergy of agriculture and energy. It's a reminder that sometimes, the most shocking connections lie hidden in the unlikeliest places, waiting to be unearthed with scholarly rigor and a dash of humor.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft 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 Michigan and Electricity generation in Antigua and Barbuda. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.
Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Soybean GMO's Shock: Powering Up Antigua and Barbuda with Michigan Juice
[[ABSTRACT]]
Soybean GMOs have long been a topic of heated debate, but perhaps their power reaches well beyond the confines of agriculture. This research delves into the electrifying link between soybean GMO use in Michigan and electricity generation in the sunny paradise of Antigua and Barbuda. Using rigorous data analysis from the USDA and the Energy Information Administration, we unveiled a correlation coefficient of 0.9443079 and a p-value of less than 0.01 for the period spanning 2000 to 2021. Our findings illuminate a shocking connection that leaves us pondering whether soybeans are secretly the seed of power for islands. This study sheds light on the electrifying potential of genetically modified soybeans and leaves us charged with excitement for future research in this electrifying field.
[[INTRDUCTION]]
Soybeans have been a staple of agricultural production for centuries, and with the advent of genetically modified organisms (GMOs), their potential impact has reached shocking new heights. While the debate over GMOs continues to sizzle, our research aims to shed light on a rather electrifying aspect of soybean GMOs that extends far beyond traditional agricultural discussions.
In this paper, we delve into an unexpected and electrifying connection between soybean GMO use in Michigan and electricity generation in the sun-soaked haven of Antigua and Barbuda. While one may initially assume that these two subjects couldn't be further apart, our findings reveal a surprising link that sends shockwaves through the fields of agriculture and energy. As we embark on this academic exploration, we can't help but chuckle at the unexpected crossover of soybeans and electricity generation. It's as if these soybeans aren't just feeding the world, but also sparking a new energy source.
Drawing on robust data provided by the United States Department of Agriculture (USDA) and the Energy Information Administration, we meticulously analyzed the soybean GMO usage in Michigan and its ripple effect on the electricity generation in Antigua and Barbuda. The statistical analysis yielded a correlation coefficient of 0.9443079 and a p-value of less than 0.01, leaving us with little doubt about the shockingly strong relationship between these seemingly disparate entities. It's as if the soybeans are saying, "Watch me power up these islands!"
As we embark on this journey into uncharted territory, we're electrified by the possibility that soybean GMOs may hold the key to an alternative energy source, or perhaps they're simply sowing the seeds of a zesty new way to think about interconnected agricultural and energy systems. However, let's not get ahead of ourselves – we need to dig into the data and separate the wattage from the chaff.
This study offers a charged perspective that invites us to rethink the potential of genetically modified soybeans and their unanticipated role in the global energy landscape. With each turn of the page, we come closer to untangling the current and potential impact of soybean GMOs on the electrifying world of energy generation in small island states. So, let's plug in and delve into the electrifying journey ahead.
[[RESULTS]]
The correlation analysis conducted to ascertain the relationship between GMO use in soybeans in Michigan and electricity generation in Antigua and Barbuda yielded a surprising coefficient of 0.9443079, demonstrating a strong positive correlation. This coefficient indicates that as GMO use in soybeans in Michigan increased, electricity generation in Antigua and Barbuda also exhibited a notable increase. It's as if the soybeans were juicing up the islands with their electrifying potential!
Additionally, the r-squared value of 0.8917173 highlights that approximately 89.17% of the variation in electricity generation in Antigua and Barbuda can be explained by changes in GMO use in soybeans in Michigan. These findings suggest that the influence of soybean GMOs on electricity generation goes well beyond a mere flicker, indicating a substantial and consistent relationship.
The p-value of less than 0.01 further supports the robustness of this relationship, indicating that the observed correlation is statistically significant. This means that the likelihood of obtaining a correlation of this magnitude by chance is less than 1%, lending further credibility to our findings. It's as if the soybeans and electricity generation in Antigua and Barbuda were not just passing sparks in the night, but engaged in a serious, long-term relationship!
Adding a touch of visual flair to our analysis, the accompanying scatterplot (Fig. 1) provides a vivid depiction of the strong, positively sloped relationship between GMO use in soybeans in Michigan and electricity generation in Antigua and Barbuda. The plot clearly illustrates the electrifying connection between these seemingly unrelated variables, leaving us with a visual reminder that sometimes, the most unexpected pairings can yield the most enlightening discoveries.
In light of these robust statistical findings, it is evident that the soybean GMOs of Michigan harbor a potential that extends far beyond the realm of agriculture, extending its influence to the shocking world of electricity generation in Antigua and Barbuda. These results not only generate a buzz in both the agricultural and energy sectors but also hint at the potential for soybean GMOs to power up unexpected corners of the world. This electrifying association between soybean GMOs and electricity generation leaves us with an electrifying thought – perhaps the future of power lies in the kernels of these transformed soybeans. It's not just a matter of plant-based diets; it's about cultivating a new era of energy generation.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, our research has illuminated an unexpectedly electrifying link between GMO use in soybeans in Michigan and electricity generation in the sun-drenched haven of Antigua and Barbuda. The robust statistical analysis demonstrates a strong positive correlation, indicating that as GMO use in soybeans in Michigan increased, electricity generation in Antigua and Barbuda also experienced a notable surge. It's as if these soybeans were the energy-packed superheroes in a world of agricultural avengers, unleashing their powers to light up the islands with green energy.
The results of our study not only spark curiosity but also shed light on the potential of soybean GMOs to serve as a renewable energy source. This lends credence to the notion that these soybeans might just be the "seeds" of a new era in energy production. It seems we're not just talking about soybeans; we're illuminating the path to a bean-powered future. Our findings not only bean there, done that but suggest that the cross-pollination of agriculture and energy holds electrifying potential.
As we turn the lights off on this particular study, it's safe to say that the brightest ideas often stem from the most unexpected places – in this case, from the fields of Michigan to the sunny shores of Antigua and Barbuda. No need for a power trip to dig deeper into this electrifying connection; we've watt we need to conclude that soybean GMOs might just hold the key to a shockingly bright future for energy generation. In this case, it's not just a "soy" long and thanks for all the energy – it's a conclusive "soy" long and thanks for showing us the current-future of renewable energy.
With such shocking results in hand, we dare say that further research in this particular area isn't warranted. As the saying goes, "don't soy, let sleeping beans lie."
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 Soybean GMO's Shock: Powering Up Antigua and Barbuda with Michigan Juice. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Agricultural Innovation and Sustainable Development
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 Soybean GMO's Shock: Powering Up Antigua and Barbuda with Michigan Juice. Respond only with the name of a fictional organization.
ChatGPT:
The Global Agro-Genetics Institute
Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled Soybean GMO's Shock: Powering Up Antigua and Barbuda with Michigan Juice with an abstract of Soybean GMOs have long been a topic of heated debate, but perhaps their power reaches well beyond the confines of agriculture. This research delves into the electrifying link between soybean GMO use in Michigan and electricity generation in the sunny paradise of Antigua and Barbuda. Using rigorous data analysis from the USDA and the Energy Information Administration, we unveiled a correlation coefficient of 0.9443079 and a p-value of less than 0.01 for the period spanning 2000 to 2021. Our findings illuminate a shocking connection that leaves us pondering whether soybeans are secretly the seed of power for islands. This study sheds light on the electrifying potential of genetically modified soybeans and leaves us charged with excitement for future research in this electrifying field.
ChatGPT:
soybean GMOs, Michigan, electricity generation, Antigua and Barbuda, USDA data analysis, Energy Information Administration, correlation coefficient, p-value, genetically modified soybeans, power generation, agriculture, electrifying potential
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
Discover a new correlation
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Data details
GMO use in soybeans in MichiganDetailed data title: Percent of soybeans planted in Michigan 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 Michigan
Electricity generation in Antigua and Barbuda
Detailed data title: Total electricity generation in Antigua and Barbuda in billion kWh
Source: Energy Information Administration
See what else correlates with Electricity generation in Antigua and Barbuda
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 = 0.8917173 (Coefficient of determination)
This means 89.2% of the change in the one variable (i.e., Electricity generation in Antigua and Barbuda) is predictable based on the change in the other (i.e., GMO use in soybeans in Michigan) over the 22 years from 2000 through 2021.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 4.1E-11. 0.0000000000411250191305141450
The p-value is a measure of how probable it is that we would randomly find a result this extreme. More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.
But I am a p-villain. I absolutely did not test only one pair of variables one time. I correlated hundreds of millions of pairs of variables. I threw boatloads of data into an industrial-sized blender to find this correlation.
Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.94 in 4.1E-9% of random cases. Said differently, if you correlated 24,316,098,111 random variables You don't actually need 24 billion variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.
p-value calculations are useful for understanding the probability of a result happening by chance. They are most useful when used to highlight the risk of a fluke outcome. For example, if you calculate a p-value of 0.30, the risk that the result is a fluke is high. It is good to know that! But there are lots of ways to get a p-value of less than 0.01, as evidenced by this project.
In this particular case, the values are so extreme as to be meaningless. That's why no one reports p-values with specificity after they drop below 0.01.
Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 21 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 21 because we have two variables measured over a period of 22 years. It's just the number of years minus ( the number of variables minus one ), which in this case simplifies to the number of years minus one.
you would randomly expect to find a correlation as strong as this one.
[ 0.87, 0.98 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.
This one is a bit more complciated than the other calculations, but I include it because many people have been pushing for confidence intervals instead of p-value calculations (for example: NEJM. However, if you are dredging data, you can reliably find yourself in the 5%. That's my goal!
All values for the years included above: If I were being very sneaky, I could trim years from the beginning or end of the datasets to increase the correlation on some pairs of variables. I don't do that because there are already plenty of correlations in my database without monkeying with the years.
Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
| 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | |
| GMO use in soybeans in Michigan (GMO soybeans %) | 50 | 59 | 72 | 73 | 75 | 76 | 81 | 87 | 84 | 83 | 85 | 91 | 91 | 90 | 91 | 94 | 95 | 94 | 93 | 92 | 91 | 93 |
| Electricity generation in Antigua and Barbuda (Billion kWh) | 0.141 | 0.161 | 0.18 | 0.198 | 0.208 | 0.228 | 0.243 | 0.263 | 0.271 | 0.308 | 0.3192 | 0.3185 | 0.3105 | 0.3106 | 0.3166 | 0.325355 | 0.328 | 0.329142 | 0.335 | 0.341 | 0.327424 | 0.350875 |
Why this works
- Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
- Lack of causal connection: There is probably
Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied. - Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple
Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is.
Try it yourself
You can calculate the values on this page on your own! Try running the Python code to see the calculation results. Step 1: Download and install Python on your computer.Step 2: Open a plaintext editor like Notepad and paste the code below into it.
Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"
Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.
Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.
Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.
Step 7: Run the Python script by typing "python calculate_correlation.py"
If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:
"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."
# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats
# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):
# Calculate Pearson correlation coefficient and p-value
correlation, p_value = stats.pearsonr(array1, array2)
# Calculate R-squared as the square of the correlation coefficient
r_squared = correlation**2
return correlation, r_squared, p_value
# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([50,59,72,73,75,76,81,87,84,83,85,91,91,90,91,94,95,94,93,92,91,93,])
array_2 = np.array([0.141,0.161,0.18,0.198,0.208,0.228,0.243,0.263,0.271,0.308,0.3192,0.3185,0.3105,0.3106,0.3166,0.325355,0.328,0.329142,0.335,0.341,0.327424,0.350875,])
array_1_name = "GMO use in soybeans in Michigan"
array_2_name = "Electricity generation in Antigua and Barbuda"
# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)
# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)Reuseable content
You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.
For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."
When spoken, my last name is pronounced "vegan," like I don't eat meat.
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Download images for these variables:
- High resolution line chart
The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.
If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.
Alternatively you can use a tool like Inkscape. - High resolution line chart, optimized for mobile
- Alternative high resolution line chart
- Scatterplot
- Portable line chart (png)
- Portable line chart (png), optimized for mobile
- Line chart for only GMO use in soybeans in Michigan
- Line chart for only Electricity generation in Antigua and Barbuda
- AI-generated correlation image
- The spurious research paper: Soybean GMO's Shock: Powering Up Antigua and Barbuda with Michigan Juice
I'm genuinely thankful for your rating!
Correlation ID: 1888 · Black Variable ID: 818 · Red Variable ID: 23457
