Spurious correlation #1,456 · 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 Missouri and the second variable is Nuclear power generation in Czechia. The chart goes from 2000 to 2021, and the two variables track closely in value over that time.

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is GMO use in soybeans in Missouri and the second variable is Nuclear power generation in Czechia. The chart goes from 2000 to 2021, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As GMO use in soybeans in Missouri increased, the excess plant growth led to a surge in biomass. This, in turn, triggered a chain reaction in Czechia, where some ingenious scientists created a new form of bio-nuclear power using soybean biomass as a renewable, eco-friendly fuel source. After all, who wouldn't want their power plant to be fueled by the incredible hulk of soybeans?

^{Show image generation prompt} Model: dalle-3
Prompt: Generate an image of a low poly landscape in Missouri, featuring a vast field of soybeans stretching into the distance. The soybean plants should be geometrically stylized and spread across the terrain, with some farmers working on the field in low poly form. In the background, depict the cooling towers of a nuclear power plant in a simplified, angular style, representing Czechia's utilization of nuclear energy. Ensure that the scene showcases the intersection of agriculture and energy generation, employing a minimalist and visually striking low poly aesthetic. 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 Missouri and Nuclear power generation in Czechia. 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: Cute 2D animation Celtic art Low poly Surrealism Glitch art
ChatGPT: Low poly

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 Missouri and Nuclear power generation in Czechia together. Keep the description simple.
ChatGPT: In a scene in Missouri, a sprawling field of soybeans stretches into the distance, where farmers are utilizing GMO technology to increase crop yield and resilience. The soybeans are surrounded by tall cooling towers of a nuclear power plant, symbolizing Czechia's use of nuclear power generation to meet energy needs.

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: [ Low poly ] and depicting this scene: In a scene in Missouri, a sprawling field of soybeans stretches into the distance, where farmers are utilizing GMO technology to increase crop yield and resilience. The soybeans are surrounded by tall cooling towers of a nuclear power plant, symbolizing Czechia's use of nuclear power generation to meet energy needs. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a low poly landscape in Missouri, featuring a vast field of soybeans stretching into the distance. The soybean plants should be geometrically stylized and spread across the terrain, with some farmers working on the field in low poly form. In the background, depict the cooling towers of a nuclear power plant in a simplified, angular style, representing Czechia's utilization of nuclear energy. Ensure that the scene showcases the intersection of agriculture and energy generation, employing a minimalist and visually striking low poly aesthetic.

*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 Missouri caused Nuclear power generation in Czechia to increase.\Make it sound serious until the end.

AI academic paper

(Because p < 0.01)

From Soybeans to Nukes: Exploring the Genetically Modified Connection

The Journal of Transgenic Technological Convergence

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 Missouri and Nuclear power generation in Czechia. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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

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

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

Here is the title and abstract of the paper:
[[TITLE]]
From Soybeans to Nukes: Exploring the Genetically Modified Connection

[[ABSTRACT]]
The relationship between genetically modified organism (GMO) use in soybeans and nuclear power generation has long been a topic of speculation and intrigue. In this study, we aim to bring clarity to this unlikely duo and uncover any kernels of truth behind their correlation.

Using data from the USDA and the Energy Information Administration, we conducted a thorough analysis spanning from 2000 to 2021. The correlation coefficient of 0.9161765 and p < 0.01 that emerged sent a clear message - there is a striking connection between the GMO soybeans in Missouri and nuclear power generation in Czechia.

With that being said, it's time to spill the beans! Our findings suggest that the widespread adoption of GMO soybeans in Missouri has indeed been linked to the growth of nuclear power generation in Czechia. The seeds of this relationship may lie in the intricate web of global agricultural trade and energy supply chains.

But don't let this revelation "soy" you away from the big picture! It's important to approach these findings with cautious optimism and further investigate the mechanisms behind this unexpected correlation.

In the meantime, we hope this research has planted a "seed" of curiosity in the minds of academics and practitioners alike. And remember, when it comes to scientific inquiry, it's essential to "stay grounded" while reaching for the stars - or should we say, the beans and the nuclear reactors?

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The interplay between agricultural production and energy generation has been a subject of ongoing interest and debate in scientific circles. The relationship between genetically modified organism (GMO) use in soybeans and nuclear power generation presents a particularly intriguing enigma, with implications that extend across international borders and industry sectors.
Speaking of GMO soybeans, did you hear about the soybean who entered a talent show? It performed in the "beanie baby" category - talk about a tough crowd! But I digress.
In this study, we embark on a journey to untangle the complex web of connections between the cultivation of GMO soybeans in Missouri and the burgeoning nuclear power industry in Czechia. While the pairing may seem as mismatched as a soy latte at a nuclear power plant, our initial analysis has unveiled some surprising trends that demand attention.
Like a curious squirrel rifling through a soybean field, we dug deep into the data provided by the USDA and the Energy Information Administration. The correlation coefficient of 0.9161765 and p < 0.01 that materialized drew us in like a moth to a flame, leaving us no choice but to explore the seed of truth behind this unlikely association.
Now, before we delve into the meat, or rather, soybeans, of our findings, here's a little humor to lighten the mood: Why did the soybean bring a flashlight to the party? Because it heard the drinks were going to be "soya-lit"! Alright, back to business.
Our investigation has revealed a tantalizing connection between the adoption of GMO soybeans in Missouri and the patterns of nuclear power generation in Czechia. This revelation, like a double helix of GMO DNA, points to a link that warrants further scrutiny and contemplation.
But wait, there’s more! As we sift through the implications of our discoveries, we must exercise caution in drawing premature conclusions. Our findings are but a single sprout in the vast agricultural and energy landscape, and it is imperative to approach them with the same care as a botanist nurturing a delicate vine.
This research aims to plant the seeds of inquiry and cultivate a deeper understanding of the intricate relationships that underpin our global systems. As we take one step closer to unraveling the mysteries of GMO soybeans and nuclear power generation, let us remember that in the garden of knowledge, the fruits of our labor may yield unexpected insights, much like the confluence of soybeans and nuclear power.
Now, if you'll excuse the pun, let’s "stalk" the roots of this correlation and explore the fertile ground from which it emerges.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

The investigation into the multifaceted relationship between GMO soybeans and nuclear power generation has spurred significant scholarly interest in recent years. Smith (2018) traced the historical evolution of GMO soybean cultivation in the American Midwest and its impact on international agricultural trade, while Doe (2020) delved into the intricacies of nuclear power generation in Central Europe and its geopolitical implications. Jones (2019) further explored the economic interplay between agricultural biotechnology and energy production, shedding light on the potential avenues for correlation between the two seemingly disparate sectors.

Now, let's take a detour into some relevant non-fiction books before we go off the rails. In Michael Pollan's "The Omnivore's Dilemma," the author wittingly navigates the complex web of modern agricultural practices, while Vaclav Smil's "Energy and Civilization" provides a comprehensive overview of energy transitions throughout history. These works offer valuable insights into the broader contexts of agricultural production and energy utilization, shedding light on the nuanced dynamics underlying our investigation.

But wait, there's more! Let's sprinkle in a touch of fiction for flavor. In John Steinbeck's "East of Eden," the thematic exploration of agricultural pursuits transcends the confines of reality, mirroring the intertwining complexities of our own research. Meanwhile, Margaret Atwood's "MaddAddam" series delves into speculative realms of genetic engineering and environmental catastrophes, offering a whimsical yet thought-provoking parallel to our exploration of GMO soybeans and nuclear power.

And now, onto the silver screen! In the film "Interstellar," the concept of harnessing sustainable energy sources to support humanity's survival resonates with the energy dynamics we aim to untangle. Additionally, "Food, Inc." provides a critical lens through which to examine the industrial agricultural landscape, prompting contemplation of the broader socio-political implications of our research pursuits.

But before we get too carried away, here's a bit of humor to maintain our scholarly equilibrium: Why did the tomato turn red? Because it saw the salad dressing! Alright, that's enough fun for now. Let's circle back to our serious investigation and plow through the scholarly landscape to uncover the secrets that lie at the confluence of GMO soybeans and nuclear power generation.

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 Missouri and Nuclear power generation in Czechia. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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]]
From Soybeans to Nukes: Exploring the Genetically Modified Connection

[[ABSTRACT]]
The relationship between genetically modified organism (GMO) use in soybeans and nuclear power generation has long been a topic of speculation and intrigue. In this study, we aim to bring clarity to this unlikely duo and uncover any kernels of truth behind their correlation.

Using data from the USDA and the Energy Information Administration, we conducted a thorough analysis spanning from 2000 to 2021. The correlation coefficient of 0.9161765 and p < 0.01 that emerged sent a clear message - there is a striking connection between the GMO soybeans in Missouri and nuclear power generation in Czechia.

With that being said, it's time to spill the beans! Our findings suggest that the widespread adoption of GMO soybeans in Missouri has indeed been linked to the growth of nuclear power generation in Czechia. The seeds of this relationship may lie in the intricate web of global agricultural trade and energy supply chains.

But don't let this revelation "soy" you away from the big picture! It's important to approach these findings with cautious optimism and further investigate the mechanisms behind this unexpected correlation.

In the meantime, we hope this research has planted a "seed" of curiosity in the minds of academics and practitioners alike. And remember, when it comes to scientific inquiry, it's essential to "stay grounded" while reaching for the stars - or should we say, the beans and the nuclear reactors?

[[INTRODUCTION]]
The interplay between agricultural production and energy generation has been a subject of ongoing interest and debate in scientific circles. The relationship between genetically modified organism (GMO) use in soybeans and nuclear power generation presents a particularly intriguing enigma, with implications that extend across international borders and industry sectors.
Speaking of GMO soybeans, did you hear about the soybean who entered a talent show? It performed in the "beanie baby" category - talk about a tough crowd! But I digress.
In this study, we embark on a journey to untangle the complex web of connections between the cultivation of GMO soybeans in Missouri and the burgeoning nuclear power industry in Czechia. While the pairing may seem as mismatched as a soy latte at a nuclear power plant, our initial analysis has unveiled some surprising trends that demand attention.
Like a curious squirrel rifling through a soybean field, we dug deep into the data provided by the USDA and the Energy Information Administration. The correlation coefficient of 0.9161765 and p < 0.01 that materialized drew us in like a moth to a flame, leaving us no choice but to explore the seed of truth behind this unlikely association.
Now, before we delve into the meat, or rather, soybeans, of our findings, here's a little humor to lighten the mood: Why did the soybean bring a flashlight to the party? Because it heard the drinks were going to be "soya-lit"! Alright, back to business.
Our investigation has revealed a tantalizing connection between the adoption of GMO soybeans in Missouri and the patterns of nuclear power generation in Czechia. This revelation, like a double helix of GMO DNA, points to a link that warrants further scrutiny and contemplation.
But wait, there’s more! As we sift through the implications of our discoveries, we must exercise caution in drawing premature conclusions. Our findings are but a single sprout in the vast agricultural and energy landscape, and it is imperative to approach them with the same care as a botanist nurturing a delicate vine.
This research aims to plant the seeds of inquiry and cultivate a deeper understanding of the intricate relationships that underpin our global systems. As we take one step closer to unraveling the mysteries of GMO soybeans and nuclear power generation, let us remember that in the garden of knowledge, the fruits of our labor may yield unexpected insights, much like the confluence of soybeans and nuclear power.
Now, if you'll excuse the pun, let’s "stalk" the roots of this correlation and explore the fertile ground from which it emerges.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

To unearth the hidden connections between the cultivation of GMO soybeans in Missouri and the nuclear power generation in Czechia, our research team employed a blend of quantitative analysis and interpretative investigation. We collected data from various sources, with a primary focus on the United States Department of Agriculture (USDA) and the Energy Information Administration. Our data spanned from 2000 to 2021, providing a robust foundation for our in-depth examination.

Our process began with gathering information on soybean cultivation practices, including the prevalence of GMO soybeans, crop yields, and agricultural trends in Missouri. Additionally, we explored the factors influencing the adoption of GMO soybeans, such as technological advancements, market demands, and regulatory frameworks. This comprehensive approach allowed us to cultivate a holistic understanding of the GMO soybean landscape and its evolutionary trajectory over the years.

After sifting through the soybean fields of data, we turned our attention to the Czechia and its nuclear power industry, examining the historical development of nuclear facilities, energy production outputs, and relevant policy dynamics. We delved into the complexities of nuclear power generation, tracing the pathways of uranium enrichment, reactor operations, and electricity generation. This thorough exploration empowered us to grasp the nuances of Czechia's nuclear energy sector and its interplay with broader energy policies.

Now, let's peel back the layers of our research methods and unearth the fertile soil from which our insights blossomed. Our quantitative analysis involved the application of advanced statistical techniques, including regression models and correlation analysis, to discern the relationship between GMO soybean cultivation in Missouri and nuclear power generation in Czechia. With a keen eye for detail and a knack for pattern recognition, we meticulously combed through the data, seeking to uncover any threads of correlation that may have eluded conventional wisdom.

In parallel, our interpretative investigation delved into the contextual dimensions shaping the GMO soybean-nuclear power nexus. We conducted interviews with agricultural experts, energy policymakers, and industry stakeholders to gain qualitative perspectives on the underlying mechanisms driving this unexpected association. These engagements provided a tapestry of insights, enriching our understanding of the socio-economic, environmental, and geopolitical factors intertwining the fates of soybeans and nuclear reactors.

Now, a quick deviation to sprinkle some humor into the mix: How do soybeans greet each other? With a "soy nice to bean with you"! Alright, let's continue cultivating our research landscape.

The culmination of our multidimensional approach yielded compelling results, shedding light on the correlation coefficient of 0.9161765 and p < 0.01 that underpins the relationship between GMO soybeans in Missouri and nuclear power generation in Czechia. This statistical revelation painted a vivid picture of the intertwined destinies of seemingly disparate industries, challenging conventional paradigms and beckoning for further exploration.

In conclusion, our methodological concoction of statistical scrutiny and interpretative immersion laid the groundwork for unraveling the mysteries of the GMO soybean-nuclear power nexus, offering a glimpse into the intriguing interconnections that shape our global agricultural and energy landscapes. As we venture deeper into the annals of scientific inquiry, let us remember that while data may be the soil of research, a sprinkle of humor can be the fertilizer that nourishes intellectual growth.

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 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 Missouri and Nuclear power generation in Czechia. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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 0.9161765, r-squared of 0.8393795, 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]]
From Soybeans to Nukes: Exploring the Genetically Modified Connection

[[ABSTRACT]]
The relationship between genetically modified organism (GMO) use in soybeans and nuclear power generation has long been a topic of speculation and intrigue. In this study, we aim to bring clarity to this unlikely duo and uncover any kernels of truth behind their correlation.

Using data from the USDA and the Energy Information Administration, we conducted a thorough analysis spanning from 2000 to 2021. The correlation coefficient of 0.9161765 and p < 0.01 that emerged sent a clear message - there is a striking connection between the GMO soybeans in Missouri and nuclear power generation in Czechia.

With that being said, it's time to spill the beans! Our findings suggest that the widespread adoption of GMO soybeans in Missouri has indeed been linked to the growth of nuclear power generation in Czechia. The seeds of this relationship may lie in the intricate web of global agricultural trade and energy supply chains.

But don't let this revelation "soy" you away from the big picture! It's important to approach these findings with cautious optimism and further investigate the mechanisms behind this unexpected correlation.

In the meantime, we hope this research has planted a "seed" of curiosity in the minds of academics and practitioners alike. And remember, when it comes to scientific inquiry, it's essential to "stay grounded" while reaching for the stars - or should we say, the beans and the nuclear reactors?

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The interplay between agricultural production and energy generation has been a subject of ongoing interest and debate in scientific circles. The relationship between genetically modified organism (GMO) use in soybeans and nuclear power generation presents a particularly intriguing enigma, with implications that extend across international borders and industry sectors.
Speaking of GMO soybeans, did you hear about the soybean who entered a talent show? It performed in the "beanie baby" category - talk about a tough crowd! But I digress.
In this study, we embark on a journey to untangle the complex web of connections between the cultivation of GMO soybeans in Missouri and the burgeoning nuclear power industry in Czechia. While the pairing may seem as mismatched as a soy latte at a nuclear power plant, our initial analysis has unveiled some surprising trends that demand attention.
Like a curious squirrel rifling through a soybean field, we dug deep into the data provided by the USDA and the Energy Information Administration. The correlation coefficient of 0.9161765 and p < 0.01 that materialized drew us in like a moth to a flame, leaving us no choice but to explore the seed of truth behind this unlikely association.
Now, before we delve into the meat, or rather, soybeans, of our findings, here's a little humor to lighten the mood: Why did the soybean bring a flashlight to the party? Because it heard the drinks were going to be "soya-lit"! Alright, back to business.
Our investigation has revealed a tantalizing connection between the adoption of GMO soybeans in Missouri and the patterns of nuclear power generation in Czechia. This revelation, like a double helix of GMO DNA, points to a link that warrants further scrutiny and contemplation.
But wait, there’s more! As we sift through the implications of our discoveries, we must exercise caution in drawing premature conclusions. Our findings are but a single sprout in the vast agricultural and energy landscape, and it is imperative to approach them with the same care as a botanist nurturing a delicate vine.
This research aims to plant the seeds of inquiry and cultivate a deeper understanding of the intricate relationships that underpin our global systems. As we take one step closer to unraveling the mysteries of GMO soybeans and nuclear power generation, let us remember that in the garden of knowledge, the fruits of our labor may yield unexpected insights, much like the confluence of soybeans and nuclear power.
Now, if you'll excuse the pun, let’s "stalk" the roots of this correlation and explore the fertile ground from which it emerges.

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

The analysis of the data collected from the USDA and the Energy Information Administration for the years 2000 to 2021 revealed a strong positive correlation between the use of genetically modified organism (GMO) soybeans in Missouri and nuclear power generation in Czechia, with a correlation coefficient of 0.9161765 and an r-squared of 0.8393795. Additionally, the p-value of less than 0.01 further supported the statistical significance of this relationship.

Figure 1 illustrates the striking correlation between the adoption of GMO soybeans in Missouri and the nuclear power generation in Czechia, reminiscent of two peas in a pod – or rather, two beans in a nuclear reactor.

Throughout the years of our study, the growth of GMO soybean cultivation in Missouri appears to have coincided with an uptick in nuclear power generation in Czechia, hinting at a connection that is more than just a "soy" story. The findings lend credence to the notion that the agricultural decisions made in one corner of the globe can have unexpected implications for energy dynamics in another, almost like a game of agricultural and energy "telephone" across continents.

However, before we leap to any "soy-pid" conclusions, it's crucial to acknowledge the complexity of the global supply chain system and energy market dynamics that underpin this correlation. As we navigate the soybean fields and nuclear power plants of our research, we must remain cautious and avoid "bean" presumptuous about the causality of this relationship.

In conclusion, our study provides compelling evidence of a significant relationship between the use of GMO soybeans in Missouri and nuclear power generation in Czechia. This unanticipated association calls for further investigation into the mechanisms and factors driving this correlation, emphasizing the need to peel back the layers of this soybean and nuclear power "onion" to reveal the underlying truths.

As we reflect on the intertwining paths of soybeans and nuclear power, let us embrace the mysteries of the scientific world, knowing that sometimes truth is indeed "stranger than fiction," especially when it involves plants and power.

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 Missouri and Nuclear power generation in Czechia. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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]]
From Soybeans to Nukes: Exploring the Genetically Modified Connection

[[ABSTRACT]]
The relationship between genetically modified organism (GMO) use in soybeans and nuclear power generation has long been a topic of speculation and intrigue. In this study, we aim to bring clarity to this unlikely duo and uncover any kernels of truth behind their correlation.

Using data from the USDA and the Energy Information Administration, we conducted a thorough analysis spanning from 2000 to 2021. The correlation coefficient of 0.9161765 and p < 0.01 that emerged sent a clear message - there is a striking connection between the GMO soybeans in Missouri and nuclear power generation in Czechia.

With that being said, it's time to spill the beans! Our findings suggest that the widespread adoption of GMO soybeans in Missouri has indeed been linked to the growth of nuclear power generation in Czechia. The seeds of this relationship may lie in the intricate web of global agricultural trade and energy supply chains.

But don't let this revelation "soy" you away from the big picture! It's important to approach these findings with cautious optimism and further investigate the mechanisms behind this unexpected correlation.

In the meantime, we hope this research has planted a "seed" of curiosity in the minds of academics and practitioners alike. And remember, when it comes to scientific inquiry, it's essential to "stay grounded" while reaching for the stars - or should we say, the beans and the nuclear reactors?

[[LITERATURE REVIEW]]
The investigation into the multifaceted relationship between GMO soybeans and nuclear power generation has spurred significant scholarly interest in recent years. Smith (2018) traced the historical evolution of GMO soybean cultivation in the American Midwest and its impact on international agricultural trade, while Doe (2020) delved into the intricacies of nuclear power generation in Central Europe and its geopolitical implications. Jones (2019) further explored the economic interplay between agricultural biotechnology and energy production, shedding light on the potential avenues for correlation between the two seemingly disparate sectors.
Now, let's take a detour into some relevant non-fiction books before we go off the rails. In Michael Pollan's "The Omnivore's Dilemma," the author wittingly navigates the complex web of modern agricultural practices, while Vaclav Smil's "Energy and Civilization" provides a comprehensive overview of energy transitions throughout history. These works offer valuable insights into the broader contexts of agricultural production and energy utilization, shedding light on the nuanced dynamics underlying our investigation.
But wait, there's more! Let's sprinkle in a touch of fiction for flavor. In John Steinbeck's "East of Eden," the thematic exploration of agricultural pursuits transcends the confines of reality, mirroring the intertwining complexities of our own research. Meanwhile, Margaret Atwood's "MaddAddam" series delves into speculative realms of genetic engineering and environmental catastrophes, offering a whimsical yet thought-provoking parallel to our exploration of GMO soybeans and nuclear power.
And now, onto the silver screen! In the film "Interstellar," the concept of harnessing sustainable energy sources to support humanity's survival resonates with the energy dynamics we aim to untangle. Additionally, "Food, Inc." provides a critical lens through which to examine the industrial agricultural landscape, prompting contemplation of the broader socio-political implications of our research pursuits.
But before we get too carried away, here's a bit of humor to maintain our scholarly equilibrium: Why did the tomato turn red? Because it saw the salad dressing! Alright, that's enough fun for now. Let's circle back to our serious investigation and plow through the scholarly landscape to uncover the secrets that lie at the confluence of GMO soybeans and nuclear power generation.

[[RESULTS]]
The analysis of the data collected from the USDA and the Energy Information Administration for the years 2000 to 2021 revealed a strong positive correlation between the use of genetically modified organism (GMO) soybeans in Missouri and nuclear power generation in Czechia, with a correlation coefficient of 0.9161765 and an r-squared of 0.8393795. Additionally, the p-value of less than 0.01 further supported the statistical significance of this relationship.
Figure 1 illustrates the striking correlation between the adoption of GMO soybeans in Missouri and the nuclear power generation in Czechia, reminiscent of two peas in a pod – or rather, two beans in a nuclear reactor.
Throughout the years of our study, the growth of GMO soybean cultivation in Missouri appears to have coincided with an uptick in nuclear power generation in Czechia, hinting at a connection that is more than just a "soy" story. The findings lend credence to the notion that the agricultural decisions made in one corner of the globe can have unexpected implications for energy dynamics in another, almost like a game of agricultural and energy "telephone" across continents.
However, before we leap to any "soy-pid" conclusions, it's crucial to acknowledge the complexity of the global supply chain system and energy market dynamics that underpin this correlation. As we navigate the soybean fields and nuclear power plants of our research, we must remain cautious and avoid "bean" presumptuous about the causality of this relationship.
In conclusion, our study provides compelling evidence of a significant relationship between the use of GMO soybeans in Missouri and nuclear power generation in Czechia. This unanticipated association calls for further investigation into the mechanisms and factors driving this correlation, emphasizing the need to peel back the layers of this soybean and nuclear power "onion" to reveal the underlying truths.
As we reflect on the intertwining paths of soybeans and nuclear power, let us embrace the mysteries of the scientific world, knowing that sometimes truth is indeed "stranger than fiction," especially when it involves plants and power.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

Our findings have brought to light a rather unexpected yet undeniably robust association between the use of genetically modified organism (GMO) soybeans in Missouri and nuclear power generation in Czechia. As the dust settles, it becomes evident that the correlation coefficient of 0.9161765 and a p-value less than 0.01 have lent statistical weight to what was once just a speculative notion. It seems that when it comes to GMO soybeans and nuclear power, the plot thickens, as it were.

Building on the scholarly discourse on the interplay between agricultural biotechnology and energy sectors, our results have lent empirical support to the prior research by Smith, Doe, and Jones. The historical evolution of GMO soybean cultivation in the American Midwest, as detailed by Smith, seems to have sown the seeds for a global impact, stretching all the way to the nuclear power generation landscape in a distant European nation. Doe's investigation into the intricacies of nuclear power generation in Central Europe now appears in a different light, with our findings suggesting an unexpected link to the agricultural practices across the Atlantic. Additionally, Jones' economic exploration of the interplay between agricultural biotechnology and energy production gains further credence through the empirical demonstration of a tangible correlation that transcends international borders.

Returning to our literature review's whimsical detour, the thematic exploration of agricultural pursuits in John Steinbeck's "East of Eden" has taken on a new layer of relevance, mirroring the unexpected interconnectedness of seemingly disparate sectors - a parallel that goes beyond the realm of fiction and into the fields of empirical inquiry. Similarly, Margaret Atwood's "MaddAddam" series, which delves into speculative realms of genetic engineering, now serves as an unexpected allegorical reflection of the tangible correlation we have uncovered. It seems reality has outpaced fiction, at least in the context of GMO soybeans and nuclear power.

The statistical evidence amassed through our rigorous analysis establishes a credible foundation for further research and policy deliberations pertaining to the global agricultural trade and energy supply chains. The striking correlation illustrated in Figure 1 not only serves as a testament to the profound interconnectedness of the contemporary world but also beckons us to remain vigilant in our quest for understanding the underlying mechanisms and causal pathways.

In the spirit of maintaining scholarly equilibrium, a touch of humor is never out of place. Speaking of reaching for the stars, why don't scientists trust atoms? Because they make up everything. Okay, let's not get carried away with puns now. As we digest the implications of our findings, the path ahead promises to be both challenging and enlightening, much like navigating a maze of soybean fields and nuclear power plants in search of the underlying truths that bind them together - a scientific quest worth embarking upon.

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 Missouri and Nuclear power generation in Czechia. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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]]
From Soybeans to Nukes: Exploring the Genetically Modified Connection

[[ABSTRACT]]
The relationship between genetically modified organism (GMO) use in soybeans and nuclear power generation has long been a topic of speculation and intrigue. In this study, we aim to bring clarity to this unlikely duo and uncover any kernels of truth behind their correlation.

Using data from the USDA and the Energy Information Administration, we conducted a thorough analysis spanning from 2000 to 2021. The correlation coefficient of 0.9161765 and p < 0.01 that emerged sent a clear message - there is a striking connection between the GMO soybeans in Missouri and nuclear power generation in Czechia.

With that being said, it's time to spill the beans! Our findings suggest that the widespread adoption of GMO soybeans in Missouri has indeed been linked to the growth of nuclear power generation in Czechia. The seeds of this relationship may lie in the intricate web of global agricultural trade and energy supply chains.

But don't let this revelation "soy" you away from the big picture! It's important to approach these findings with cautious optimism and further investigate the mechanisms behind this unexpected correlation.

In the meantime, we hope this research has planted a "seed" of curiosity in the minds of academics and practitioners alike. And remember, when it comes to scientific inquiry, it's essential to "stay grounded" while reaching for the stars - or should we say, the beans and the nuclear reactors?

[[INTRDUCTION]]
The interplay between agricultural production and energy generation has been a subject of ongoing interest and debate in scientific circles. The relationship between genetically modified organism (GMO) use in soybeans and nuclear power generation presents a particularly intriguing enigma, with implications that extend across international borders and industry sectors.
Speaking of GMO soybeans, did you hear about the soybean who entered a talent show? It performed in the "beanie baby" category - talk about a tough crowd! But I digress.
In this study, we embark on a journey to untangle the complex web of connections between the cultivation of GMO soybeans in Missouri and the burgeoning nuclear power industry in Czechia. While the pairing may seem as mismatched as a soy latte at a nuclear power plant, our initial analysis has unveiled some surprising trends that demand attention.
Like a curious squirrel rifling through a soybean field, we dug deep into the data provided by the USDA and the Energy Information Administration. The correlation coefficient of 0.9161765 and p < 0.01 that materialized drew us in like a moth to a flame, leaving us no choice but to explore the seed of truth behind this unlikely association.
Now, before we delve into the meat, or rather, soybeans, of our findings, here's a little humor to lighten the mood: Why did the soybean bring a flashlight to the party? Because it heard the drinks were going to be "soya-lit"! Alright, back to business.
Our investigation has revealed a tantalizing connection between the adoption of GMO soybeans in Missouri and the patterns of nuclear power generation in Czechia. This revelation, like a double helix of GMO DNA, points to a link that warrants further scrutiny and contemplation.
But wait, there’s more! As we sift through the implications of our discoveries, we must exercise caution in drawing premature conclusions. Our findings are but a single sprout in the vast agricultural and energy landscape, and it is imperative to approach them with the same care as a botanist nurturing a delicate vine.
This research aims to plant the seeds of inquiry and cultivate a deeper understanding of the intricate relationships that underpin our global systems. As we take one step closer to unraveling the mysteries of GMO soybeans and nuclear power generation, let us remember that in the garden of knowledge, the fruits of our labor may yield unexpected insights, much like the confluence of soybeans and nuclear power.
Now, if you'll excuse the pun, let’s "stalk" the roots of this correlation and explore the fertile ground from which it emerges.

[[RESULTS]]
The analysis of the data collected from the USDA and the Energy Information Administration for the years 2000 to 2021 revealed a strong positive correlation between the use of genetically modified organism (GMO) soybeans in Missouri and nuclear power generation in Czechia, with a correlation coefficient of 0.9161765 and an r-squared of 0.8393795. Additionally, the p-value of less than 0.01 further supported the statistical significance of this relationship.
Figure 1 illustrates the striking correlation between the adoption of GMO soybeans in Missouri and the nuclear power generation in Czechia, reminiscent of two peas in a pod – or rather, two beans in a nuclear reactor.
Throughout the years of our study, the growth of GMO soybean cultivation in Missouri appears to have coincided with an uptick in nuclear power generation in Czechia, hinting at a connection that is more than just a "soy" story. The findings lend credence to the notion that the agricultural decisions made in one corner of the globe can have unexpected implications for energy dynamics in another, almost like a game of agricultural and energy "telephone" across continents.
However, before we leap to any "soy-pid" conclusions, it's crucial to acknowledge the complexity of the global supply chain system and energy market dynamics that underpin this correlation. As we navigate the soybean fields and nuclear power plants of our research, we must remain cautious and avoid "bean" presumptuous about the causality of this relationship.
In conclusion, our study provides compelling evidence of a significant relationship between the use of GMO soybeans in Missouri and nuclear power generation in Czechia. This unanticipated association calls for further investigation into the mechanisms and factors driving this correlation, emphasizing the need to peel back the layers of this soybean and nuclear power "onion" to reveal the underlying truths.
As we reflect on the intertwining paths of soybeans and nuclear power, let us embrace the mysteries of the scientific world, knowing that sometimes truth is indeed "stranger than fiction," especially when it involves plants and power.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In closing, our research has unearthed a compelling link between the utilization of genetically modified organism (GMO) soybeans in Missouri and the generation of nuclear power in Czechia. With a correlation coefficient of 0.9161765 and a p-value of less than 0.01, this unexpected alliance between beans and reactors cannot be brushed aside. It's as if the soybeans and nuclear power have "bean" in cahoots all along – talk about a case of agricultural and atomic collusion!

These findings, while undeniably ripe with potential, also raise more questions than a curious cat in a soybean field. We must resist the temptation to jump to hasty conclusions and approach this correlation with the same level of caution as a pod of cautious peas. After all, we don't want to soy-blow anything out of proportion!

We cannot deny the significance of our discovery. The implications of our study stretch far and wide, much like the sprawling roots of a soybean plant. However, as much as we'd love to cultivate this research indefinitely, it's time to accept that no more beans need to spill in this field of inquiry. We can confidently say that the mystery of the GMO soybeans and nuclear power marriage has been cracked wide open. The seeds of truth have been planted, and it's high time we let them grow on their own.

In the wise words of a seasoned gardener, "lettuce" leave this topic to germinate on its own accord. It seems that for now, this case of beans and reactors has been thoroughly explored – it's time to harvest our findings and move on to other curious conundrums of the scientific world.

Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of academic journals. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding research, scientific, or academic journal that would publish a paper entited From Soybeans to Nukes: Exploring the Genetically Modified Connection. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Transgenic Technological Convergence

Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of nonprofit research organizations and associations. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding nonprofit, academic, or scientific association or organization that would sponsor research that resulted in a paper entited From Soybeans to Nukes: Exploring the Genetically Modified Connection. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Genetically Modified Organism Research and Advancement (IGMORA)

Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled From Soybeans to Nukes: Exploring the Genetically Modified Connection with an abstract of The relationship between genetically modified organism (GMO) use in soybeans and nuclear power generation has long been a topic of speculation and intrigue. In this study, we aim to bring clarity to this unlikely duo and uncover any kernels of truth behind their correlation.
Using data from the USDA and the Energy Information Administration, we conducted a thorough analysis spanning from 2000 to 2021. The correlation coefficient of 0.9161765 and p < 0.01 that emerged sent a clear message - there is a striking connection between the GMO soybeans in Missouri and nuclear power generation in Czechia.
With that being said, it's time to spill the beans! Our findings suggest that the widespread adoption of GMO soybeans in Missouri has indeed been linked to the growth of nuclear power generation in Czechia. The seeds of this relationship may lie in the intricate web of global agricultural trade and energy supply chains.
But don't let this revelation "soy" you away from the big picture! It's important to approach these findings with cautious optimism and further investigate the mechanisms behind this unexpected correlation.
In the meantime, we hope this research has planted a "seed" of curiosity in the minds of academics and practitioners alike. And remember, when it comes to scientific inquiry, it's essential to "stay grounded" while reaching for the stars - or should we say, the beans and the nuclear reactors?

ChatGPT:

GMO soybeans, nuclear power generation, correlation, USDA data, Energy Information Administration, GMO adoption, Missouri soybeans, nuclear power, Czechia, global agricultural trade, energy supply chains, scientific inquiry

*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 Missouri
Detailed data title: Percent of soybeans planted in Missouri 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 Missouri

Nuclear power generation in Czechia
Detailed data title: Total nuclear power generation in Czechia in billion kWh
Source: Energy Information Administration
See what else correlates with Nuclear power generation in Czechia

Correlation r = 0.9161765 (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 = 0.8393795 (Coefficient of determination)
This means 83.9% of the change in the one variable (i.e., Nuclear power generation in Czechia) is predictable based on the change in the other (i.e., GMO use in soybeans in Missouri) over the 22 years from 2000 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 2.2E-9.^Show 0.0000000021793368251645030000
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 0.92 in 2.2E-7% of random cases. Said differently, if you correlated 458,855,184 random variables^Note You don't actually need 458 million 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, ^Note 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.

[ 0.81, 0.97 ] 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
GMO use in soybeans in Missouri (GMO soybeans %)	62	69	72	83	87	89	93	91	92	89	94	91	91	90	91	87	89	87	91	94	95	93
Nuclear power generation in Czechia (Billion kWh)	12.911	14.012	17.801	24.577	25.009	23.255	24.499	24.635	25.018	25.665	26.346	26.602	28.603	29.001	28.633	25.335	22.727	26.7856	28.2525	28.5794	28.3697	29.042

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.

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([62,69,72,83,87,89,93,91,92,89,94,91,91,90,91,87,89,87,91,94,95,93,])
array_2 = np.array([12.911,14.012,17.801,24.577,25.009,23.255,24.499,24.635,25.018,25.665,26.346,26.602,28.603,29.001,28.633,25.335,22.727,26.7856,28.2525,28.5794,28.3697,29.042,])
array_1_name = "GMO use in soybeans in Missouri"
array_2_name = "Nuclear power generation in Czechia"

# 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.
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Line chart for only GMO use in soybeans in Missouri
Line chart for only Nuclear power generation in Czechia
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The spurious research paper: From Soybeans to Nukes: Exploring the Genetically Modified Connection

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Correlation ID: 1456 · Black Variable ID: 821 · Red Variable ID: 23621


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