Spurious correlation #4,072 · 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 corn grown in Texas and the second variable is Arson in Texas. The chart goes from 2005 to 2022, and the two variables track closely in value over that time.

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is GMO use in corn grown in Texas and the second variable is Arson in Texas. The chart goes from 2005 to 2022, and the two variables track closely in value over that time.

AI explanation

As the GMO corn in Texas dwindled, so too did the flames of temptation in the hearts of would-be arsonists. With their vibrant, non-GMO enriched diets, the corn fed individuals were less likely to feel the burning desire to set fires. It seems the real secret to extinguishing arson in Texas was simply to let the GMO cornstalks go up in a blaze of glory!

^{Show image generation prompt} Model: dalle-3
Prompt: An image that looks like it is a scene from 'Star Wars': In a vast Texas cornfield, rows of genetically modified corn stand tall in the golden sunlight. As the flames of a wildfire flicker in the distance, the sturdy GMO cornstalks remain untouched. Nearby, a group of individuals enjoying non-GMO enriched diets gather around a wholesome meal, their faces free of temptation and the desire to set fires. Enhanced visual prompt: "Create an otherworldly landscape encompassing a vast Texas cornfield, drenched in the warm glow of a setting sun. Rows of genetically modified corn reach towards the sky, appearing alien-like in their structure and size. A distant wildfire rages, casting an eerie glow on the horizon. Amidst this extraterrestrial scene, a group of individuals, seemingly from a spacefaring civilization, partake in a wholesome meal gathered around a futuristic table, adorned with non-GMO enriched foods. The individuals themselves bear stoic expressions, devoid of desires to cause havoc, and instead radiate an otherworldly sense of peace and contentment." 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 corn grown in Texas and Arson in Texas. 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: Pop art inspired by bauhaus Celtic art Cyber folk An image that looks like it is a scene from 'Star Wars'
ChatGPT: An image that looks like it is a scene from 'Star Wars'

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 corn grown in Texas and Arson in Texas, in the following situation: As the GMO corn in Texas dwindled, so too did the flames of temptation in the hearts of would-be arsonists. With their vibrant, non-GMO enriched diets, the corn fed individuals were less likely to feel the burning desire to set fires. It seems the real secret to extinguishing arson in Texas was simply to let the GMO cornstalks go up in a blaze of glory!. Keep the description simple.
ChatGPT: In a vast Texas cornfield, rows of genetically modified corn stand tall in the golden sunlight. As the flames of a wildfire flicker in the distance, the sturdy GMO cornstalks remain untouched. Nearby, a group of individuals enjoying non-GMO enriched diets gather around a wholesome meal, their faces free of temptation and the desire to set fires.

Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ An image that looks like it is a scene from 'Star Wars' ] and depicting this scene: In a vast Texas cornfield, rows of genetically modified corn stand tall in the golden sunlight. As the flames of a wildfire flicker in the distance, the sturdy GMO cornstalks remain untouched. Nearby, a group of individuals enjoying non-GMO enriched diets gather around a wholesome meal, their faces free of temptation and the desire to set fires. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: An image that looks like it is a scene from 'Star Wars': In a vast Texas cornfield, rows of genetically modified corn stand tall in the golden sunlight. As the flames of a wildfire flicker in the distance, the sturdy GMO cornstalks remain untouched. Nearby, a group of individuals enjoying non-GMO enriched diets gather around a wholesome meal, their faces free of temptation and the desire to set fires. Enhanced visual prompt: "Create an otherworldly landscape encompassing a vast Texas cornfield, drenched in the warm glow of a setting sun. Rows of genetically modified corn reach towards the sky, appearing alien-like in their structure and size. A distant wildfire rages, casting an eerie glow on the horizon. Amidst this extraterrestrial scene, a group of individuals, seemingly from a spacefaring civilization, partake in a wholesome meal gathered around a futuristic table, adorned with non-GMO enriched foods. The individuals themselves bear stoic expressions, devoid of desires to cause havoc, and instead radiate an otherworldly sense of peace and contentment."

*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 a decrease in GMO use in corn grown in Texas caused Arson in Texas to decrease.

AI academic paper

(Because p < 0.01)

Stalk-ing the Culprit: Unearthing the Correlation between GMO Corn Cultivation in Texas and Arson Cases

Journal of Agri-Crime Studies

Jan 2024

^{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 corn grown in Texas and Arson in Texas. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name a couple popular internet memes that are related to one of the topics.

Here is the title and abstract of the paper:
[[TITLE]]
"Stalk-ing the Culprit: Unearthing the Correlation between GMO Corn Cultivation in Texas and Arson Cases"

[[ABSTRACT]]
Globally, GMO crop cultivation has been a topic of controversy and scrutiny. In the United States, Texas stands out as a significant contributor to the production of genetically modified corn, and concurrently, the state has been grappling with the alarming prevalence of arson incidents. This study endeavors to explore the relationship between these seemingly unrelated phenomena. Leveraging comprehensive data from the USDA and the FBI Criminal Justice Information Services, our research team conducted a rigorous analysis for the period spanning 2005 to 2022. Through meticulous statistical examination, an eye-opening correlation coefficient of 0.9808791 and p < 0.01 emerged, establishing a compelling connection between the widespread use of GMO technology in corn cultivation and the occurrence of arson cases in Texas. While our findings point to a strong association, we acknowledge the need for further investigation and caution against jumping to fiery conclusions.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
Alright, let's fire up this introduction with some scorching hot science! We've all heard about genetically modified organisms (GMOs) lurking in our food supply, and we're no strangers to the heat of controversy surrounding their cultivation. But what if I told you that these GMOs might be fueling another fiery phenomenon in the Lone Star State? That's right, folks - we're delving into the burning question of whether there's a sizzling link between GMO corn cultivation in Texas and the surge in arson cases.
Now, before you start thinking we're just a bunch of mad scientists concocting wild theories, let's extinguish any doubts and acknowledge that the association between GMO corn and arson might seem as random as a spark in a hay bale. However, stranger things have happened in the world of research, so let's sprinkle some statistical analysis, stir in some data, and see if we can cook up some solid evidence to char-grill this hypothesis.
On one hand, we've got Texas, known for its sprawling fields of GMO corn, where the seeds of genetic modification have taken root and blossomed. On the other hand, we've got arson cases igniting like wildfire across the state. It's an unlikely pairing, like mixing oil and water, or trying to balance a beaker on the edge of a lab bench without it teetering off and causing a mini explosion.
In this study, we're harnessing the power of data from the USDA and the FBI Criminal Justice Information Services – think of it as a high-stakes treasure hunt through a database labyrinth, where we're mining for nuggets of information to fuel our analytical engines. We're not just talking about plucking numbers out of thin air; no, we're talking about rolling up our lab coats, crunching numbers, and unleashing the full force of statistical analysis. It's like conducting a symphony of data, where every note and every outlier plays a crucial role in the grand composition of our findings.
So, grab your lab goggles and let's embark on this riveting journey through the enigmatic world of GMOs, arson, and statistical wizardry. Our findings promise to illuminate a connection that might just set the research community ablaze – metaphorically, of course. After all, we wouldn't want to add fuel to the already burning debate without the proper scientific kindling.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

In "The Impact of GMO Corn Cultivation on Agricultural Practices" by Smith, the authors find that the introduction of genetically modified corn has revolutionized farming techniques, leading to improved crop yields and resistance to pests. This advancement has not only shaped agricultural landscapes but has also stirred debates around consumer safety and environmental impact. Similarly, in "Arson Trends and Patterns in Texas" by Doe, the authors delve into the unsettling surge of arson cases in Texas, unraveling the intricate dynamics of these criminal acts and their implications for law enforcement and public safety.

Transitioning to a more unconventional territory, "GMOs and Arson: Unraveling the Incendiary Connection" by Jones takes a daring leap into the speculative realm, proposing an unexpected linkage between GMO crop cultivation and fire-related incidents. This provocative work brazenly challenges traditional scholarly boundaries and beckons researchers to venture into uncharted intellectual terrain.

Now, let's turn the page to some enlightening non-fiction books that shed light on relevant themes. "Seed to Seed: The Secret Life of GMOs" by Botanica delves into the captivating journey of genetically modified seeds, their cultivation, and their impact on modern agriculture. In a parallel exploration, "Playing with Fire: Understanding Arson and Pyromania" by Psychologia immerses readers in the complex psychology behind arson, offering profound insights into the motivations and behaviors of fire-setters.

As we immerse ourselves further in the scholarly landscape, it's worth acknowledging the influence of fiction works that stir the imagination and evoke themes resonant with our inquiry. "Field of Fire" by Thriller Author thrusts readers into a high-stakes world where genetically engineered crops harbor dark secrets, while "Ashes to Ashes" by Mystery Writer unravels a web of arson mysteries that ignite the pages with suspense and intrigue.

Bringing a sprinkle of internet culture into the mix, the renowned "This is Fine" meme captures the essence of confronting alarming situations with a nonchalant acceptance, mirroring the disconcerting juxtaposition of GMO cultivation and arson incidents. Additionally, the "GMO Corn on Fire" meme playfully juxtaposes agricultural imagery with fiery humor, adding a touch of levity to our exploration.

With the diverse landscape of literature and cultural references in mind, the stage is set for our own contribution to the scholarly tapestry, as we endeavor to uncover the enthralling correlation between GMO corn cultivation and arson cases in Texas. Let the sparks fly as we journey into uncharted research territory, armed with statistical rigor and an unquenchable thirst for knowledge!

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 corn grown in Texas and Arson in Texas. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from USDA and FBI Criminal Justice Information Services . You used data from 2005 to 2022

Make up the research methods you don't know. Make them a bit goofy and convoluted.

Here is the title, abstract, and introduction of the paper:
[[TITLE]]
"Stalk-ing the Culprit: Unearthing the Correlation between GMO Corn Cultivation in Texas and Arson Cases"

[[ABSTRACT]]
Globally, GMO crop cultivation has been a topic of controversy and scrutiny. In the United States, Texas stands out as a significant contributor to the production of genetically modified corn, and concurrently, the state has been grappling with the alarming prevalence of arson incidents. This study endeavors to explore the relationship between these seemingly unrelated phenomena. Leveraging comprehensive data from the USDA and the FBI Criminal Justice Information Services, our research team conducted a rigorous analysis for the period spanning 2005 to 2022. Through meticulous statistical examination, an eye-opening correlation coefficient of 0.9808791 and p < 0.01 emerged, establishing a compelling connection between the widespread use of GMO technology in corn cultivation and the occurrence of arson cases in Texas. While our findings point to a strong association, we acknowledge the need for further investigation and caution against jumping to fiery conclusions.

[[INTRODUCTION]]
Alright, let's fire up this introduction with some scorching hot science! We've all heard about genetically modified organisms (GMOs) lurking in our food supply, and we're no strangers to the heat of controversy surrounding their cultivation. But what if I told you that these GMOs might be fueling another fiery phenomenon in the Lone Star State? That's right, folks - we're delving into the burning question of whether there's a sizzling link between GMO corn cultivation in Texas and the surge in arson cases.
Now, before you start thinking we're just a bunch of mad scientists concocting wild theories, let's extinguish any doubts and acknowledge that the association between GMO corn and arson might seem as random as a spark in a hay bale. However, stranger things have happened in the world of research, so let's sprinkle some statistical analysis, stir in some data, and see if we can cook up some solid evidence to char-grill this hypothesis.
On one hand, we've got Texas, known for its sprawling fields of GMO corn, where the seeds of genetic modification have taken root and blossomed. On the other hand, we've got arson cases igniting like wildfire across the state. It's an unlikely pairing, like mixing oil and water, or trying to balance a beaker on the edge of a lab bench without it teetering off and causing a mini explosion.
In this study, we're harnessing the power of data from the USDA and the FBI Criminal Justice Information Services – think of it as a high-stakes treasure hunt through a database labyrinth, where we're mining for nuggets of information to fuel our analytical engines. We're not just talking about plucking numbers out of thin air; no, we're talking about rolling up our lab coats, crunching numbers, and unleashing the full force of statistical analysis. It's like conducting a symphony of data, where every note and every outlier plays a crucial role in the grand composition of our findings.
So, grab your lab goggles and let's embark on this riveting journey through the enigmatic world of GMOs, arson, and statistical wizardry. Our findings promise to illuminate a connection that might just set the research community ablaze – metaphorically, of course. After all, we wouldn't want to add fuel to the already burning debate without the proper scientific kindling.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

Now, let's take a peek behind the curtain and see how we stirred the pot to concoct this recipe for scientific inquiry. First and foremost, our team embarked on a sweeping voyage through the digital expanse, navigating the treacherous seas of internet repositories and the hallowed halls of official databases. We anchored ourselves in the bountiful shores of the United States Department of Agriculture (USDA) and the FBI Criminal Justice Information Services, casting our net far and wide to haul in a rich catch of data from the years 2005 to 2022.

With our bounty secured, we set sail for uncharted methodological waters. Our approach hinged on wielding the tools of quantitative analysis with the precision of a master craftsman. We sought to measure the extent of genetically modified corn cultivation in Texas, harnessing data on crop acreage, seed types, and genetic modifications as our guiding stars in this odyssey through the agricultural cosmos. To complement this, we delved into the annals of arson records, plumbing the depths of incident reports, fire statistics, and geographical distributions with the zeal of intrepid explorers unearthing buried treasure.

Now, you might be wondering, how did we meld these disparate strands into a cohesive web of analysis? Well, picture this: we brewed a heady concoction of statistical methodologies, enlisting the formidable aid of correlation analyses, regression modeling, and spatial mapping to sift through the layers of complexity and uncover the hidden threads connecting GMO corn cultivation and arson incidents. It was a bit like conducting a scientific séance, summoning the spirits of data to dance to the tune of our analytical rituals.

At the heart of our methodology lay a deep commitment to robustness and rigor. We steered clear of shortcuts, opting instead to traverse the path of thoroughness and systematic scrutiny. Our statistical models glimmered like stars in the firmament of empirical inquiry, drawing from the wellsprings of academia and the crucible of practical experience to fortify our expedition with a sturdy framework of methodological integrity.

So, there you have it – our journey through the labyrinth of methodological ingenuity, where we dared to unravel the mysteries of GMO corn and arson. Now, let's set sail for the shores of results, where the treasures of our endeavors await their moment in the scholarly spotlight.

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 corn grown in Texas and Arson in Texas. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from USDA and FBI Criminal Justice Information Services .

For the time period 2005 to 2022, you found a correlation 0.9808791, r-squared of 0.9621237, 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]]
"Stalk-ing the Culprit: Unearthing the Correlation between GMO Corn Cultivation in Texas and Arson Cases"

[[ABSTRACT]]
Globally, GMO crop cultivation has been a topic of controversy and scrutiny. In the United States, Texas stands out as a significant contributor to the production of genetically modified corn, and concurrently, the state has been grappling with the alarming prevalence of arson incidents. This study endeavors to explore the relationship between these seemingly unrelated phenomena. Leveraging comprehensive data from the USDA and the FBI Criminal Justice Information Services, our research team conducted a rigorous analysis for the period spanning 2005 to 2022. Through meticulous statistical examination, an eye-opening correlation coefficient of 0.9808791 and p < 0.01 emerged, establishing a compelling connection between the widespread use of GMO technology in corn cultivation and the occurrence of arson cases in Texas. While our findings point to a strong association, we acknowledge the need for further investigation and caution against jumping to fiery conclusions.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
Alright, let's fire up this introduction with some scorching hot science! We've all heard about genetically modified organisms (GMOs) lurking in our food supply, and we're no strangers to the heat of controversy surrounding their cultivation. But what if I told you that these GMOs might be fueling another fiery phenomenon in the Lone Star State? That's right, folks - we're delving into the burning question of whether there's a sizzling link between GMO corn cultivation in Texas and the surge in arson cases.
Now, before you start thinking we're just a bunch of mad scientists concocting wild theories, let's extinguish any doubts and acknowledge that the association between GMO corn and arson might seem as random as a spark in a hay bale. However, stranger things have happened in the world of research, so let's sprinkle some statistical analysis, stir in some data, and see if we can cook up some solid evidence to char-grill this hypothesis.
On one hand, we've got Texas, known for its sprawling fields of GMO corn, where the seeds of genetic modification have taken root and blossomed. On the other hand, we've got arson cases igniting like wildfire across the state. It's an unlikely pairing, like mixing oil and water, or trying to balance a beaker on the edge of a lab bench without it teetering off and causing a mini explosion.
In this study, we're harnessing the power of data from the USDA and the FBI Criminal Justice Information Services – think of it as a high-stakes treasure hunt through a database labyrinth, where we're mining for nuggets of information to fuel our analytical engines. We're not just talking about plucking numbers out of thin air; no, we're talking about rolling up our lab coats, crunching numbers, and unleashing the full force of statistical analysis. It's like conducting a symphony of data, where every note and every outlier plays a crucial role in the grand composition of our findings.
So, grab your lab goggles and let's embark on this riveting journey through the enigmatic world of GMOs, arson, and statistical wizardry. Our findings promise to illuminate a connection that might just set the research community ablaze – metaphorically, of course. After all, we wouldn't want to add fuel to the already burning debate without the proper scientific kindling.

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

The scorching hot pursuit of uncovering the relationship between GMO corn cultivation in Texas and arson incidents has yielded some blistering findings. Our research team conducted a thorough statistical analysis on the data collected from the USDA and the FBI Criminal Justice Information Services, and the results were nothing short of incendiary.

First and foremost, we found a positively blazing correlation coefficient of 0.9808791 between the extent of GMO corn cultivation and the frequency of arson cases in Texas. This significant correlation highlights the potential link between these two seemingly disparate variables. It's as if the GMO cornfields are providing the kindling for the arson occurrences, creating a fiery chain of events that cannot be merely dismissed as a statistical fluke.

Furthermore, the r-squared value of 0.9621237 indicates that an overwhelming majority of the variance in the arson cases can be explained by the variation in GMO corn cultivation. This strong explanatory power propels the implications of our findings into the spotlight, shedding light on the combustion of variables that might have long been overlooked.

The p-value of less than 0.01 adds another layer of validation to our results, signaling that the association between GMO corn cultivation and arson cases is not just a statistical anomaly. It's as if the data itself is whispering to us, "Hey, there's something significant happening here, and it's not just statistical noise!"

To visually capture this scintillating relationship, we have included a scatterplot (Fig. 1) that vividly portrays the tightly clustered data points, illustrating the compelling correlation between GMO corn cultivation and arson incidents. It's like a fiery dance of data points, twirling and whirling in unison to reveal a mesmerizing pattern that cannot be ignored.

In conclusion, our findings provide compelling evidence of a fiery connection between GMO corn cultivation in Texas and the prevalence of arson cases. However, as with any research endeavor, it's essential to approach these infernos of inference with caution, recognizing the need for further investigation and analysis. The heat is on, and we invite the scientific community to join us in stoking the flames of inquiry, as we continue to unravel the complexities of this intriguing correlation. After all, in the world of scientific discovery, every spark has the potential to ignite a blaze of new understanding.

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 corn grown in Texas and Arson in Texas. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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]]
"Stalk-ing the Culprit: Unearthing the Correlation between GMO Corn Cultivation in Texas and Arson Cases"

[[ABSTRACT]]
Globally, GMO crop cultivation has been a topic of controversy and scrutiny. In the United States, Texas stands out as a significant contributor to the production of genetically modified corn, and concurrently, the state has been grappling with the alarming prevalence of arson incidents. This study endeavors to explore the relationship between these seemingly unrelated phenomena. Leveraging comprehensive data from the USDA and the FBI Criminal Justice Information Services, our research team conducted a rigorous analysis for the period spanning 2005 to 2022. Through meticulous statistical examination, an eye-opening correlation coefficient of 0.9808791 and p < 0.01 emerged, establishing a compelling connection between the widespread use of GMO technology in corn cultivation and the occurrence of arson cases in Texas. While our findings point to a strong association, we acknowledge the need for further investigation and caution against jumping to fiery conclusions.

[[LITERATURE REVIEW]]
In "The Impact of GMO Corn Cultivation on Agricultural Practices" by Smith, the authors find that the introduction of genetically modified corn has revolutionized farming techniques, leading to improved crop yields and resistance to pests. This advancement has not only shaped agricultural landscapes but has also stirred debates around consumer safety and environmental impact. Similarly, in "Arson Trends and Patterns in Texas" by Doe, the authors delve into the unsettling surge of arson cases in Texas, unraveling the intricate dynamics of these criminal acts and their implications for law enforcement and public safety.
Transitioning to a more unconventional territory, "GMOs and Arson: Unraveling the Incendiary Connection" by Jones takes a daring leap into the speculative realm, proposing an unexpected linkage between GMO crop cultivation and fire-related incidents. This provocative work brazenly challenges traditional scholarly boundaries and beckons researchers to venture into uncharted intellectual terrain.
Now, let's turn the page to some enlightening non-fiction books that shed light on relevant themes. "Seed to Seed: The Secret Life of GMOs" by Botanica delves into the captivating journey of genetically modified seeds, their cultivation, and their impact on modern agriculture. In a parallel exploration, "Playing with Fire: Understanding Arson and Pyromania" by Psychologia immerses readers in the complex psychology behind arson, offering profound insights into the motivations and behaviors of fire-setters.
As we immerse ourselves further in the scholarly landscape, it's worth acknowledging the influence of fiction works that stir the imagination and evoke themes resonant with our inquiry. "Field of Fire" by Thriller Author thrusts readers into a high-stakes world where genetically engineered crops harbor dark secrets, while "Ashes to Ashes" by Mystery Writer unravels a web of arson mysteries that ignite the pages with suspense and intrigue.
Bringing a sprinkle of internet culture into the mix, the renowned "This is Fine" meme captures the essence of confronting alarming situations with a nonchalant acceptance, mirroring the disconcerting juxtaposition of GMO cultivation and arson incidents. Additionally, the "GMO Corn on Fire" meme playfully juxtaposes agricultural imagery with fiery humor, adding a touch of levity to our exploration.
With the diverse landscape of literature and cultural references in mind, the stage is set for our own contribution to the scholarly tapestry, as we endeavor to uncover the enthralling correlation between GMO corn cultivation and arson cases in Texas. Let the sparks fly as we journey into uncharted research territory, armed with statistical rigor and an unquenchable thirst for knowledge!

[[RESULTS]]
The scorching hot pursuit of uncovering the relationship between GMO corn cultivation in Texas and arson incidents has yielded some blistering findings. Our research team conducted a thorough statistical analysis on the data collected from the USDA and the FBI Criminal Justice Information Services, and the results were nothing short of incendiary.
First and foremost, we found a positively blazing correlation coefficient of 0.9808791 between the extent of GMO corn cultivation and the frequency of arson cases in Texas. This significant correlation highlights the potential link between these two seemingly disparate variables. It's as if the GMO cornfields are providing the kindling for the arson occurrences, creating a fiery chain of events that cannot be merely dismissed as a statistical fluke.
Furthermore, the r-squared value of 0.9621237 indicates that an overwhelming majority of the variance in the arson cases can be explained by the variation in GMO corn cultivation. This strong explanatory power propels the implications of our findings into the spotlight, shedding light on the combustion of variables that might have long been overlooked.
The p-value of less than 0.01 adds another layer of validation to our results, signaling that the association between GMO corn cultivation and arson cases is not just a statistical anomaly. It's as if the data itself is whispering to us, "Hey, there's something significant happening here, and it's not just statistical noise!"
To visually capture this scintillating relationship, we have included a scatterplot (Fig. 1) that vividly portrays the tightly clustered data points, illustrating the compelling correlation between GMO corn cultivation and arson incidents. It's like a fiery dance of data points, twirling and whirling in unison to reveal a mesmerizing pattern that cannot be ignored.
In conclusion, our findings provide compelling evidence of a fiery connection between GMO corn cultivation in Texas and the prevalence of arson cases. However, as with any research endeavor, it's essential to approach these infernos of inference with caution, recognizing the need for further investigation and analysis. The heat is on, and we invite the scientific community to join us in stoking the flames of inquiry, as we continue to unravel the complexities of this intriguing correlation. After all, in the world of scientific discovery, every spark has the potential to ignite a blaze of new understanding.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The scorching results from our study illuminate a compelling relationship between the cultivation of GMO corn in Texas and the incidence of arson cases, adding fuel to the fiery debate surrounding genetically modified crops. Our findings not only corroborate previous research by Smith, who highlighted the transformative impact of GMO corn cultivation on agricultural practices, but also lend substantial support to the audacious proposition by Jones regarding an improbable association between GMOs and arson.

It's astonishingly flammable how the findings align with existing literature, emphasizing the incendiary potential of genetically modified crops in influencing criminal behavior. The overwhelmingly hot correlation coefficient and the fireproof p-value affirm the solidity of our statistical analysis, providing a searing endorsement of the connection between GMO corn cultivation and arson incidents.

Even amidst these scorching results, it's imperative to approach our findings with cautious curiosity, recognizing the need for further exploration to fully unravel the smoldering intricacies of this correlation. The proverbial fire is still ablaze, and we invite the scientific community to join us in stoking the embers of inquiry, as we remain poised to fan the flames of understanding in this blazing field of research. After all, when it comes to scientific discovery, keeping a cool head is essential, especially when the data is this hot!

Stay tuned as we continue to ignite new pathways of knowledge in this scorching saga of GMO cultivation and the fiery phenomenon of arson in Texas. Remember, in the world of research, as in real life, it's always better to be the one with the matches than the one who's left in the smoky haze without a clear understanding of the connection.

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 corn grown in Texas and Arson in Texas. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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]]
"Stalk-ing the Culprit: Unearthing the Correlation between GMO Corn Cultivation in Texas and Arson Cases"

[[ABSTRACT]]
Globally, GMO crop cultivation has been a topic of controversy and scrutiny. In the United States, Texas stands out as a significant contributor to the production of genetically modified corn, and concurrently, the state has been grappling with the alarming prevalence of arson incidents. This study endeavors to explore the relationship between these seemingly unrelated phenomena. Leveraging comprehensive data from the USDA and the FBI Criminal Justice Information Services, our research team conducted a rigorous analysis for the period spanning 2005 to 2022. Through meticulous statistical examination, an eye-opening correlation coefficient of 0.9808791 and p < 0.01 emerged, establishing a compelling connection between the widespread use of GMO technology in corn cultivation and the occurrence of arson cases in Texas. While our findings point to a strong association, we acknowledge the need for further investigation and caution against jumping to fiery conclusions.

[[INTRDUCTION]]
Alright, let's fire up this introduction with some scorching hot science! We've all heard about genetically modified organisms (GMOs) lurking in our food supply, and we're no strangers to the heat of controversy surrounding their cultivation. But what if I told you that these GMOs might be fueling another fiery phenomenon in the Lone Star State? That's right, folks - we're delving into the burning question of whether there's a sizzling link between GMO corn cultivation in Texas and the surge in arson cases.
Now, before you start thinking we're just a bunch of mad scientists concocting wild theories, let's extinguish any doubts and acknowledge that the association between GMO corn and arson might seem as random as a spark in a hay bale. However, stranger things have happened in the world of research, so let's sprinkle some statistical analysis, stir in some data, and see if we can cook up some solid evidence to char-grill this hypothesis.
On one hand, we've got Texas, known for its sprawling fields of GMO corn, where the seeds of genetic modification have taken root and blossomed. On the other hand, we've got arson cases igniting like wildfire across the state. It's an unlikely pairing, like mixing oil and water, or trying to balance a beaker on the edge of a lab bench without it teetering off and causing a mini explosion.
In this study, we're harnessing the power of data from the USDA and the FBI Criminal Justice Information Services – think of it as a high-stakes treasure hunt through a database labyrinth, where we're mining for nuggets of information to fuel our analytical engines. We're not just talking about plucking numbers out of thin air; no, we're talking about rolling up our lab coats, crunching numbers, and unleashing the full force of statistical analysis. It's like conducting a symphony of data, where every note and every outlier plays a crucial role in the grand composition of our findings.
So, grab your lab goggles and let's embark on this riveting journey through the enigmatic world of GMOs, arson, and statistical wizardry. Our findings promise to illuminate a connection that might just set the research community ablaze – metaphorically, of course. After all, we wouldn't want to add fuel to the already burning debate without the proper scientific kindling.

[[RESULTS]]
The scorching hot pursuit of uncovering the relationship between GMO corn cultivation in Texas and arson incidents has yielded some blistering findings. Our research team conducted a thorough statistical analysis on the data collected from the USDA and the FBI Criminal Justice Information Services, and the results were nothing short of incendiary.
First and foremost, we found a positively blazing correlation coefficient of 0.9808791 between the extent of GMO corn cultivation and the frequency of arson cases in Texas. This significant correlation highlights the potential link between these two seemingly disparate variables. It's as if the GMO cornfields are providing the kindling for the arson occurrences, creating a fiery chain of events that cannot be merely dismissed as a statistical fluke.
Furthermore, the r-squared value of 0.9621237 indicates that an overwhelming majority of the variance in the arson cases can be explained by the variation in GMO corn cultivation. This strong explanatory power propels the implications of our findings into the spotlight, shedding light on the combustion of variables that might have long been overlooked.
The p-value of less than 0.01 adds another layer of validation to our results, signaling that the association between GMO corn cultivation and arson cases is not just a statistical anomaly. It's as if the data itself is whispering to us, "Hey, there's something significant happening here, and it's not just statistical noise!"
To visually capture this scintillating relationship, we have included a scatterplot (Fig. 1) that vividly portrays the tightly clustered data points, illustrating the compelling correlation between GMO corn cultivation and arson incidents. It's like a fiery dance of data points, twirling and whirling in unison to reveal a mesmerizing pattern that cannot be ignored.
In conclusion, our findings provide compelling evidence of a fiery connection between GMO corn cultivation in Texas and the prevalence of arson cases. However, as with any research endeavor, it's essential to approach these infernos of inference with caution, recognizing the need for further investigation and analysis. The heat is on, and we invite the scientific community to join us in stoking the flames of inquiry, as we continue to unravel the complexities of this intriguing correlation. After all, in the world of scientific discovery, every spark has the potential to ignite a blaze of new understanding.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In the scorching conclusion of our investigation, the smoke has cleared, and the evidence is as clear as a summer day in the heart of Texas. The fiery connection between GMO corn cultivation and arson cases in the Lone Star State has been illuminated like a well-fueled bonfire on a starry night. The statistically significant correlation coefficient of 0.9808791 has set the stage for a hot debate that's sure to ignite discussions in scientific circles.

With the r-squared value of 0.9621237 providing substantial explanatory power, it's as if the GMO cornfields are the tinderbox that sparks the chain reaction leading to arson incidents. And let's not forget the p-value of less than 0.01, reminding us that this association is no statistical mirage – it's as real as a lab explosion in an action movie.

Even the visual representation in our scatterplot (Fig. 1) is akin to a mesmerizing flamenco of data points, dancing to the rhythm of our conclusions. The implication is as clear as water – or rather, as clear as a toasted marshmallow atop a perfectly lit campfire.

Nevertheless, while our findings may kindle the flames of curiosity, we emphasize the need for further investigation – not just because we find statistical analysis to be the most thrilling roller coaster ride in the theme park of research, but because the pursuit of truth demands a never-ending quest for knowledge.

Although this study has shed light on the combustible correlation between GMO corn cultivation and arson in Texas, we assert, with no smokescreen of doubt, that no further research is needed in this specific area. We’ve truly burned the midnight oil to offer a scintillating insight into this intriguing connection. Let's leave it at that before we fan the flames of fixation on this fiery topic any further. After all, in the world of research, the fire of inquiry must be banked for the sake of moving on to fresher scientific pastures.

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 Stalk-ing the Culprit: Unearthing the Correlation between GMO Corn Cultivation in Texas and Arson Cases. Respond only with the name of a fictional academic journal.

ChatGPT:

Journal of Agri-Crime Studies

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 Stalk-ing the Culprit: Unearthing the Correlation between GMO Corn Cultivation in Texas and Arson Cases. Respond only with the name of a fictional organization.

ChatGPT:

The Center for Agricultural Biotechnology Research and Investigation (CABRI)

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 Stalk-ing the Culprit: Unearthing the Correlation between GMO Corn Cultivation in Texas and Arson Cases with an abstract of Globally, GMO crop cultivation has been a topic of controversy and scrutiny. In the United States, Texas stands out as a significant contributor to the production of genetically modified corn, and concurrently, the state has been grappling with the alarming prevalence of arson incidents. This study endeavors to explore the relationship between these seemingly unrelated phenomena. Leveraging comprehensive data from the USDA and the FBI Criminal Justice Information Services, our research team conducted a rigorous analysis for the period spanning 2005 to 2022. Through meticulous statistical examination, an eye-opening correlation coefficient of 0.9808791 and p < 0.01 emerged, establishing a compelling connection between the widespread use of GMO technology in corn cultivation and the occurrence of arson cases in Texas. While our findings point to a strong association, we acknowledge the need for further investigation and caution against jumping to fiery conclusions.

ChatGPT:

GMO corn cultivation, Texas agriculture, GMO technology, arson cases, correlation analysis, USDA data, FBI Criminal Justice Information Services, genetically modified crops, GMO controversy, GMO production, arson incidents Texas, GMO corn production Texas

*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 corn grown in Texas
Detailed data title: Percent of all corn planted in Texas that is genetically modified to be herbicide-tolerant (HT), but not insect-resistant (Bt)
Source: USDA
See what else correlates with GMO use in corn grown in Texas

Arson in Texas
Detailed data title: The arson rate per 100,000 residents in Texas
Source: FBI Criminal Justice Information Services
See what else correlates with Arson in Texas

Correlation r = 0.9808791 (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 = 0.9621237 (Coefficient of determination)
This means 96.2% of the change in the one variable (i.e., Arson in Texas) is predictable based on the change in the other (i.e., GMO use in corn grown in Texas) over the 18 years from 2005 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 8.5E-13.^Show 0.0000000000008462025072654586
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 0.98 in 8.5E-11% of random cases. Said differently, if you correlated 1,181,750,221,033 random variables^Note You don't actually need 1 trillion variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.

p-value calculations are useful for understanding the probability of a result happening by chance. They are most useful when used to highlight the risk of a fluke outcome. For example, if you calculate a p-value of 0.30, the risk that the result is a fluke is high. It is good to know that! But there are lots of ways to get a p-value of less than 0.01, as evidenced by this project.

In this particular case, the values are so extreme as to be meaningless. That's why no one reports p-values with specificity after they drop below 0.01.

Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 17 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 17 because we have two variables measured over a period of 18 years. It's just the number of years minus ( the number of variables minus one ), which in this case simplifies to the number of years minus one.
you would randomly expect to find a correlation as strong as this one.

[ 0.95, 0.99 ] 95% correlation confidence interval (using the Fisher z-transformation)
^{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.

	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021	2022
GMO use in corn grown in Texas (GMO corn %)	42	37	37	31	30	27	24	21	20	17	12	11	13	12	9	8	9	8
Arson in Texas (Arson rate)	29.6	27.8	24.7	26	24.2	21.9	19.7	17	14.9	14.2	12.9	12.6	11.7	9.4	8.5	10.2	10	9.7

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([42,37,37,31,30,27,24,21,20,17,12,11,13,12,9,8,9,8,])
array_2 = np.array([29.6,27.8,24.7,26,24.2,21.9,19.7,17,14.9,14.2,12.9,12.6,11.7,9.4,8.5,10.2,10,9.7,])
array_1_name = "GMO use in corn grown in Texas"
array_2_name = "Arson in Texas"

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

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

Reuseable content

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

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

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

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

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

Download images for these variables:

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

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

Alternatively you can use a tool like Inkscape.
High resolution line chart, optimized for mobile
Alternative high resolution line chart
Scatterplot
Portable line chart (png)
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Line chart for only GMO use in corn grown in Texas
Line chart for only Arson in Texas
AI-generated correlation image
The spurious research paper: Stalk-ing the Culprit: Unearthing the Correlation between GMO Corn Cultivation in Texas and Arson Cases

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Correlation ID: 4072 · Black Variable ID: 736 · Red Variable ID: 20072


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