Download png, svg
AI explanation
The filibuster reform allows for greater productivity in Senate, leading to a boost in the economy. This economic growth incentivizes more people to invest in firearms, driving up the demand for manufactured firearms. After all, nothing says freedom like owning a piece of American-made firepower!Model: dalle-3
Prompt: [Whimsical illustration] In a bustling Wisconsin town, a line of voters streams into a charming polling station adorned with patriotic bunting and American flags. The town square bustles with an array of quirky characters, from prominent local figures to quirky animals. Nearby, a towering American flag waves majestically in the wind, framing the entrance to a whimsical firearms manufacturing plant that seems straight out of a storybook. Inside, whimsical workers diligently assemble rifles and handguns in a fantastical factory that hums with increased productivity, mirroring the growth and vibrancy seen in the Senate. The economic boom has sparked a surge in demand for whimsically crafted American-made firearms, with crates of them stacked high and ready for distribution. The scene captures the intersection of Libertarian votes for Senators in Wisconsin and the number of whimsical firearms being manufactured in the US, embodying the spirit of freedom and economic fantasy. 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: Libertarian votes for Senators in Wisconsin and Number of firearms manufactured in the US. 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: Whimsical illustration Brutalism Hyper-realistic a funny image you would see on reddit Whimsical illustration
ChatGPT: Whimsical illustration
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 Libertarian votes for Senators in Wisconsin and Number of firearms manufactured in the US, in the following situation: The filibuster reform allows for greater productivity in Senate, leading to a boost in the economy. This economic growth incentivizes more people to invest in firearms, driving up the demand for manufactured firearms. After all, nothing says freedom like owning a piece of American-made firepower!. Keep the description simple.
ChatGPT: In a bustling Wisconsin town, a line of voters streams into a polling station to cast their ballots for a Libertarian candidate for Senate. Nearby, a large American flag waves in the wind, framing the entrance to a firearms manufacturing plant. Inside, workers diligently assemble rifles and handguns as the factory hums with increased productivity, mirroring the growth and productivity seen in the Senate. The economic boom has sparked a surge in demand for American-made firearms, with crates of them stacked high and ready for distribution. The scene captures the intersection of Libertarian votes for Senators in Wisconsin and the number of firearms being manufactured in the US, embodying the spirit of freedom and economic prosperity.
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: [ Whimsical illustration ] and depicting this scene: In a bustling Wisconsin town, a line of voters streams into a polling station to cast their ballots for a Libertarian candidate for Senate. Nearby, a large American flag waves in the wind, framing the entrance to a firearms manufacturing plant. Inside, workers diligently assemble rifles and handguns as the factory hums with increased productivity, mirroring the growth and productivity seen in the Senate. The economic boom has sparked a surge in demand for American-made firearms, with crates of them stacked high and ready for distribution. The scene captures the intersection of Libertarian votes for Senators in Wisconsin and the number of firearms being manufactured in the US, embodying the spirit of freedom and economic prosperity. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: [Whimsical illustration] In a bustling Wisconsin town, a line of voters streams into a charming polling station adorned with patriotic bunting and American flags. The town square bustles with an array of quirky characters, from prominent local figures to quirky animals. Nearby, a towering American flag waves majestically in the wind, framing the entrance to a whimsical firearms manufacturing plant that seems straight out of a storybook. Inside, whimsical workers diligently assemble rifles and handguns in a fantastical factory that hums with increased productivity, mirroring the growth and vibrancy seen in the Senate. The economic boom has sparked a surge in demand for whimsically crafted American-made firearms, with crates of them stacked high and ready for distribution. The scene captures the intersection of Libertarian votes for Senators in Wisconsin and the number of whimsical firearms being manufactured in the US, embodying the spirit of freedom and economic fantasy.
*Variations in the User Prompts from chart to chart are just the result of random number generation in Python. I wrote a few arrays of various styles and methods to ask questions to change up the results. Every time this site writes an explanation or generates an image, the script picks from each at random.
I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in Libertarian votes for Senators in Wisconsin caused Number of firearms manufactured in the US to increase.\Make it sound serious until the end.
AI academic paper
Lock, Stock, and Ballot: A Rhyming Connection Between Libertarian Votes and Firearms Manufacture in the Badger State The Journal of Political Puns and Policy Parodies Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You write titles and abstracts of goofy academic research papers.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, and add unexpected twists in your writing.
Please draft the title and abstract of an academic research paper presenting the findings of the connection between Libertarian votes for Senators in Wisconsin and Number of firearms manufactured in the US. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Rhyme words in the title.
Your research team used data from MIT Election Data and Science Lab, Harvard Dataverse and Statista to assess this nagging question. You found a correlation coefficient of 0.9835565 and p < 0.01 for 1986 to 2016.
Please respond in this format (replace "Lorem ipsum dolor sit" with your title and abstract)
[[TITLE]]
Lorem ipsum dolor sit
[[ABSTRACT]]
Lorem ipsum dolor sit
ChatGPT:
[[TITLE]]
Lock, Stock, and Ballot: A Rhyming Connection Between Libertarian Votes and Firearms Manufacture in the Badger State
[[ABSTRACT]]
This scholarly paper endeavors to explore the peculiar relationship between the proclivity of Wisconsinites to express their libertarian tendencies at the ballot box and the production of firearms in the United States. Utilizing data from prestigious sources such as the MIT Election Data and Science Lab, Harvard Dataverse, and Statista, our research team has scrutinized voting patterns over a 30-year period, from 1986 to 2016, to unravel this enigma. Remarkably, a correlation coefficient of 0.9835565 has been identified, with statistical significance at p < 0.01, identifying a strong link between the Libertarian votes for Senators in Wisconsin and the number of firearms manufactured nationwide. While our findings raise many intriguing questions, they also illustrate the need for further investigation into the interplay between political ideology and the firearms industry. This study, therefore, not only presents a dry analysis of numeric data but also adds an intriguing layer of whimsy to the complex tapestry of socio-political behavior.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft the introduction section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the introduction section of an academic research paper presenting the findings of the connection between Libertarian votes for Senators in Wisconsin and Number of firearms manufactured in the US. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Here is the title and abstract of the paper:
[[TITLE]]
Lock, Stock, and Ballot: A Rhyming Connection Between Libertarian Votes and Firearms Manufacture in the Badger State
[[ABSTRACT]]
This scholarly paper endeavors to explore the peculiar relationship between the proclivity of Wisconsinites to express their libertarian tendencies at the ballot box and the production of firearms in the United States. Utilizing data from prestigious sources such as the MIT Election Data and Science Lab, Harvard Dataverse, and Statista, our research team has scrutinized voting patterns over a 30-year period, from 1986 to 2016, to unravel this enigma. Remarkably, a correlation coefficient of 0.9835565 has been identified, with statistical significance at p < 0.01, identifying a strong link between the Libertarian votes for Senators in Wisconsin and the number of firearms manufactured nationwide. While our findings raise many intriguing questions, they also illustrate the need for further investigation into the interplay between political ideology and the firearms industry. This study, therefore, not only presents a dry analysis of numeric data but also adds an intriguing layer of whimsy to the complex tapestry of socio-political behavior.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
INTRODUCTION
The intersection of politics and firearms holds a distinct allure, akin to a mesmerizing dance between ideologies and industrial production. As if drawn by the mysterious pull of an invisible attractor, our curiosity was piqued by the connection between the voting behavior of Wisconsinites and the production of firearms in the United States. This study embarks upon a quest to untangle the threads of this unexpected association, shedding light on the silent interplay between the ballot box and the firing range.
For decades, politicians have aimed to hit the bullseye with their policies, while firearm manufacturers have fine-tuned their aim to provide arsenal aplenty. However, it is not merely the confluence of these aims that is of interest; rather, it is the nuanced relationship between the voting patterns of a particularly libertarian-leaning state and the numbers of firearms rolling off the production lines that has captured our attention.
The state of Wisconsin, known for its cheese and penchant for bipartite political inclinations, offers an intriguing backdrop for our inquiry. The Badger State has demonstrated a steadfast commitment to expressing its libertarian leanings at the ballot box, occasionally defying expectations with a maverick spirit that brings to mind the tenacity of a badger burrowing through the political landscape. Such proclivities have not gone unnoticed by the discerning eye of this study, which seeks to elucidate the curious synchronicity between these proclamations of individual freedom and the manufacture of instruments designed to assert such freedoms.
Our analysis, teeming with data expended from reputable sources, seeks to pry open the treasure chest of correlations and expose the glittering nuggets of insight within. With statistical rigor as our trusty guide, we traverse the landscape of numbers and trends to reveal a striking correlation coefficient of 0.9835565, bearing the weight of statistical significance at p < 0.01. This numerical dance between Libertarian votes for Senators in Wisconsin and the output of firearms nationwide not only evokes the image of a synchronized waltz but also beckons us to consider the broader implications of this unanticipated discovery.
As we venture forth into the untamed wilderness of political ideology and industrial prowess, armed with nothing but our empirical ammunition, we invite fellow seekers of wisdom to accompany us on this expedition. Our findings, while fascinating in their own right, urge us to delve deeper, to question the underlying motives and mechanisms that underpin this compelling correlation. This paper, therefore, serves as both a testament to the curious interplay of statistical trends and as a call to arms for further exploration into the subtleties of political preferences and industrial landscapes. Indeed, we aim not only to present a dispassionate analysis of numbers but also to infuse our study with a touch of whimsy, embracing the delightful absurdity that often manifests in the realm of academic inquiry.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Libertarian votes for Senators in Wisconsin and Number of firearms manufactured in the US. 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 you might move on to cartoons and children's shows that you watched for research.
Here is the title and abstract of the paper:
[[TITLE]]
Lock, Stock, and Ballot: A Rhyming Connection Between Libertarian Votes and Firearms Manufacture in the Badger State
[[ABSTRACT]]
This scholarly paper endeavors to explore the peculiar relationship between the proclivity of Wisconsinites to express their libertarian tendencies at the ballot box and the production of firearms in the United States. Utilizing data from prestigious sources such as the MIT Election Data and Science Lab, Harvard Dataverse, and Statista, our research team has scrutinized voting patterns over a 30-year period, from 1986 to 2016, to unravel this enigma. Remarkably, a correlation coefficient of 0.9835565 has been identified, with statistical significance at p < 0.01, identifying a strong link between the Libertarian votes for Senators in Wisconsin and the number of firearms manufactured nationwide. While our findings raise many intriguing questions, they also illustrate the need for further investigation into the interplay between political ideology and the firearms industry. This study, therefore, not only presents a dry analysis of numeric data but also adds an intriguing layer of whimsy to the complex tapestry of socio-political behavior.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
INTRODUCTION
The intersection of politics and firearms holds a distinct allure, akin to a mesmerizing dance between ideologies and industrial production. As if drawn by the mysterious pull of an invisible attractor, our curiosity was piqued by the connection between the voting behavior of Wisconsinites and the production of firearms in the United States. This study embarks upon a quest to untangle the threads of this unexpected association, shedding light on the silent interplay between the ballot box and the firing range.
For decades, politicians have aimed to hit the bullseye with their policies, while firearm manufacturers have fine-tuned their aim to provide arsenal aplenty. However, it is not merely the confluence of these aims that is of interest; rather, it is the nuanced relationship between the voting patterns of a particularly libertarian-leaning state and the numbers of firearms rolling off the production lines that has captured our attention.
The state of Wisconsin, known for its cheese and penchant for bipartite political inclinations, offers an intriguing backdrop for our inquiry. The Badger State has demonstrated a steadfast commitment to expressing its libertarian leanings at the ballot box, occasionally defying expectations with a maverick spirit that brings to mind the tenacity of a badger burrowing through the political landscape. Such proclivities have not gone unnoticed by the discerning eye of this study, which seeks to elucidate the curious synchronicity between these proclamations of individual freedom and the manufacture of instruments designed to assert such freedoms.
Our analysis, teeming with data expended from reputable sources, seeks to pry open the treasure chest of correlations and expose the glittering nuggets of insight within. With statistical rigor as our trusty guide, we traverse the landscape of numbers and trends to reveal a striking correlation coefficient of 0.9835565, bearing the weight of statistical significance at p < 0.01. This numerical dance between Libertarian votes for Senators in Wisconsin and the output of firearms nationwide not only evokes the image of a synchronized waltz but also beckons us to consider the broader implications of this unanticipated discovery.
As we venture forth into the untamed wilderness of political ideology and industrial prowess, armed with nothing but our empirical ammunition, we invite fellow seekers of wisdom to accompany us on this expedition. Our findings, while fascinating in their own right, urge us to delve deeper, to question the underlying motives and mechanisms that underpin this compelling correlation. This paper, therefore, serves as both a testament to the curious interplay of statistical trends and as a call to arms for further exploration into the subtleties of political preferences and industrial landscapes. Indeed, we aim not only to present a dispassionate analysis of numbers but also to infuse our study with a touch of whimsy, embracing the delightful absurdity that often manifests in the realm of academic inquiry.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
In "The Libertarian Mind," the authors find that the principles of libertarianism, often characterized by a fervent belief in individual freedoms and limited government intervention, permeate the political landscape of Wisconsin. This ideological undercurrent finds expression in the voting habits of Wisconsinites, creating a distinctive pattern that mirrors the ebb and flow of an invisible current through the ballot box.
Doe and Smith, in "Firearms in America," discuss the longstanding tradition of firearm manufacture in the United States, drawing attention to the intricate web of factors that have contributed to the proliferation of firearms across the country. The authors shed light on the economic, cultural, and political forces that have shaped the firearms industry, weaving a tapestry of historical developments that have left an indelible mark on the American societal fabric.
Jones, in "Guns, Germs, and Steel," examines the deeper historical and societal forces that have influenced the prevalence of firearms in different regions. While the focus of the book may not directly correlate to the specific context of this study, the overarching themes of human society and its relationship with technology provide a robust foundation for pondering the unexpected nexus between political preferences and firearm production.
Moving beyond the realm of scholarly tomes, the fictional world also presents captivating narratives that beckon us to contemplate the intricacies of human behavior. "A Clockwork Orange" by Anthony Burgess, while diverging from the topic of firearms, delves into the complexities of individual freedom and societal constraints, prompting readers to ponder the broader implications of libertarian inclinations in a structured environment.
Enter the realm of children's animation, where the animated characters of "Paw Patrol" embark on daring adventures, evoking a sense of heroism that parallels the fervor with which individuals express their political ideologies. While seemingly disparate, the fervency with which the citizens of Wisconsin exercise their libertarian leanings bears a resemblance to the brave exploits of the animated pups, albeit within the arena of political discourse.
As we traverse the landscape of literature, both factual and fanciful, we uncover a diverse array of perspectives that converge in unexpected ways. Join us as we embark on an odyssey to unravel the enigmatic connection between Libertarian votes and firearms manufacture, armed with both somber analysis and a sprinkle of whimsical musings.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Libertarian votes for Senators in Wisconsin and Number of firearms manufactured in the US. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Your research team collected data from all across the internet, but mostly just used information from MIT Election Data and Science Lab, Harvard Dataverse and Statista . You used data from 1986 to 2016
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]]
Lock, Stock, and Ballot: A Rhyming Connection Between Libertarian Votes and Firearms Manufacture in the Badger State
[[ABSTRACT]]
This scholarly paper endeavors to explore the peculiar relationship between the proclivity of Wisconsinites to express their libertarian tendencies at the ballot box and the production of firearms in the United States. Utilizing data from prestigious sources such as the MIT Election Data and Science Lab, Harvard Dataverse, and Statista, our research team has scrutinized voting patterns over a 30-year period, from 1986 to 2016, to unravel this enigma. Remarkably, a correlation coefficient of 0.9835565 has been identified, with statistical significance at p < 0.01, identifying a strong link between the Libertarian votes for Senators in Wisconsin and the number of firearms manufactured nationwide. While our findings raise many intriguing questions, they also illustrate the need for further investigation into the interplay between political ideology and the firearms industry. This study, therefore, not only presents a dry analysis of numeric data but also adds an intriguing layer of whimsy to the complex tapestry of socio-political behavior.
[[INTRODUCTION]]
INTRODUCTION
The intersection of politics and firearms holds a distinct allure, akin to a mesmerizing dance between ideologies and industrial production. As if drawn by the mysterious pull of an invisible attractor, our curiosity was piqued by the connection between the voting behavior of Wisconsinites and the production of firearms in the United States. This study embarks upon a quest to untangle the threads of this unexpected association, shedding light on the silent interplay between the ballot box and the firing range.
For decades, politicians have aimed to hit the bullseye with their policies, while firearm manufacturers have fine-tuned their aim to provide arsenal aplenty. However, it is not merely the confluence of these aims that is of interest; rather, it is the nuanced relationship between the voting patterns of a particularly libertarian-leaning state and the numbers of firearms rolling off the production lines that has captured our attention.
The state of Wisconsin, known for its cheese and penchant for bipartite political inclinations, offers an intriguing backdrop for our inquiry. The Badger State has demonstrated a steadfast commitment to expressing its libertarian leanings at the ballot box, occasionally defying expectations with a maverick spirit that brings to mind the tenacity of a badger burrowing through the political landscape. Such proclivities have not gone unnoticed by the discerning eye of this study, which seeks to elucidate the curious synchronicity between these proclamations of individual freedom and the manufacture of instruments designed to assert such freedoms.
Our analysis, teeming with data expended from reputable sources, seeks to pry open the treasure chest of correlations and expose the glittering nuggets of insight within. With statistical rigor as our trusty guide, we traverse the landscape of numbers and trends to reveal a striking correlation coefficient of 0.9835565, bearing the weight of statistical significance at p < 0.01. This numerical dance between Libertarian votes for Senators in Wisconsin and the output of firearms nationwide not only evokes the image of a synchronized waltz but also beckons us to consider the broader implications of this unanticipated discovery.
As we venture forth into the untamed wilderness of political ideology and industrial prowess, armed with nothing but our empirical ammunition, we invite fellow seekers of wisdom to accompany us on this expedition. Our findings, while fascinating in their own right, urge us to delve deeper, to question the underlying motives and mechanisms that underpin this compelling correlation. This paper, therefore, serves as both a testament to the curious interplay of statistical trends and as a call to arms for further exploration into the subtleties of political preferences and industrial landscapes. Indeed, we aim not only to present a dispassionate analysis of numbers but also to infuse our study with a touch of whimsy, embracing the delightful absurdity that often manifests in the realm of academic inquiry.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
METHODOLOGY
The journey into unraveling the link between the voting preferences of Wisconsinites and the production levels of firearms in the United States was an arduous yet exhilarating expedition, akin to trekking through uncharted territory with nothing but abacuses and slide rules as our guiding stars.
To commence our quest, our intrepid research team scoured the virtual landscape, harnessing the boundless power of the internet to obtain data from renowned repositories such as the MIT Election Data and Science Lab, Harvard Dataverse, and Statista. It was an odyssey through the vast expanse of online archives, navigating the labyrinthine pathways of databases and spreadsheets, where the numbers themselves seemed to whisper cryptic riddles and enigmas.
Armed with data spanning a time frame from 1986 to 2016, we sought to sew together the disparate threads of information into a cohesive tapestry of analysis. The statistical wizardry employed in our study involved the utilization of sophisticated software, *cough* Excel *cough*, to conduct a rigorous examination of voting patterns and firearm production statistics. Each data point was scrutinized with the intensity of a hawk searching for its prey, ensuring that no numerical stone remained unturned.
Following an exhaustive data collection process, our team sought to uncover the elusive relationship between Libertarian votes for Senators in Wisconsin and the magnitude of firearms being churned out by manufacturers nationwide. This intricate dance of numbers and ideology demanded a correlation analysis, probing the depths of statistical significance with a precision that rivalled the delicate art of assembling a complex jigsaw puzzle.
Setting our compass to navigate through the labyrinth of statistical analyses, we endeavored to ascertain the correlation coefficient between these divergent yet oddly interconnected variables. Embarking on this path required meticulous consideration and a steadfast resolve, akin to marking off each step as if navigating a treacherous marshland of mathematical abstraction.
Not content with merely revealing a pattern, we endeavored to fortify our findings with a measure of statistical significance that would withstand the winds of skepticism. With a determined flourish, we subjected our data to tests of *cough* p < 0.01 *cough*, ensuring that our conclusions stood firm amidst the tempestuous seas of statistical doubt.
As our intrepid expedition reached its zenith, we unearthed a correlation coefficient of 0.9835565, casting a spotlight on the remarkable synchronicity between the Libertarian votes cast in Wisconsin and the number of firearms rolling off the production lines nationwide. The magnitude of this correlation, coupled with its robust statistical significance, not only captured our attention but also beckoned us to ponder the profound implications inherent within this curious relationship.
Our methodology, while anchored in the revered traditions of empirical analysis, also embraced a spirit of merriment and discovery, eschewing the somber demeanor often attributed to academic pursuits. With a nod to whimsy and a wink to statistical rigor, our research undertaking sought to fuse the stern visage of analysis with the irrepressible charm of lighthearted inquiry, thereby inviting fellow voyagers to join us in contemplating the unexpected correlations that lie hidden within the numerical fabric of our world.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Libertarian votes for Senators in Wisconsin and Number of firearms manufactured in the US. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Your research team collected data from all across the internet, but mostly just used information from MIT Election Data and Science Lab, Harvard Dataverse and Statista .
For the time period 1986 to 2016, you found a correlation 0.9835565, r-squared of 0.9673833, 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]]
Lock, Stock, and Ballot: A Rhyming Connection Between Libertarian Votes and Firearms Manufacture in the Badger State
[[ABSTRACT]]
This scholarly paper endeavors to explore the peculiar relationship between the proclivity of Wisconsinites to express their libertarian tendencies at the ballot box and the production of firearms in the United States. Utilizing data from prestigious sources such as the MIT Election Data and Science Lab, Harvard Dataverse, and Statista, our research team has scrutinized voting patterns over a 30-year period, from 1986 to 2016, to unravel this enigma. Remarkably, a correlation coefficient of 0.9835565 has been identified, with statistical significance at p < 0.01, identifying a strong link between the Libertarian votes for Senators in Wisconsin and the number of firearms manufactured nationwide. While our findings raise many intriguing questions, they also illustrate the need for further investigation into the interplay between political ideology and the firearms industry. This study, therefore, not only presents a dry analysis of numeric data but also adds an intriguing layer of whimsy to the complex tapestry of socio-political behavior.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
INTRODUCTION
The intersection of politics and firearms holds a distinct allure, akin to a mesmerizing dance between ideologies and industrial production. As if drawn by the mysterious pull of an invisible attractor, our curiosity was piqued by the connection between the voting behavior of Wisconsinites and the production of firearms in the United States. This study embarks upon a quest to untangle the threads of this unexpected association, shedding light on the silent interplay between the ballot box and the firing range.
For decades, politicians have aimed to hit the bullseye with their policies, while firearm manufacturers have fine-tuned their aim to provide arsenal aplenty. However, it is not merely the confluence of these aims that is of interest; rather, it is the nuanced relationship between the voting patterns of a particularly libertarian-leaning state and the numbers of firearms rolling off the production lines that has captured our attention.
The state of Wisconsin, known for its cheese and penchant for bipartite political inclinations, offers an intriguing backdrop for our inquiry. The Badger State has demonstrated a steadfast commitment to expressing its libertarian leanings at the ballot box, occasionally defying expectations with a maverick spirit that brings to mind the tenacity of a badger burrowing through the political landscape. Such proclivities have not gone unnoticed by the discerning eye of this study, which seeks to elucidate the curious synchronicity between these proclamations of individual freedom and the manufacture of instruments designed to assert such freedoms.
Our analysis, teeming with data expended from reputable sources, seeks to pry open the treasure chest of correlations and expose the glittering nuggets of insight within. With statistical rigor as our trusty guide, we traverse the landscape of numbers and trends to reveal a striking correlation coefficient of 0.9835565, bearing the weight of statistical significance at p < 0.01. This numerical dance between Libertarian votes for Senators in Wisconsin and the output of firearms nationwide not only evokes the image of a synchronized waltz but also beckons us to consider the broader implications of this unanticipated discovery.
As we venture forth into the untamed wilderness of political ideology and industrial prowess, armed with nothing but our empirical ammunition, we invite fellow seekers of wisdom to accompany us on this expedition. Our findings, while fascinating in their own right, urge us to delve deeper, to question the underlying motives and mechanisms that underpin this compelling correlation. This paper, therefore, serves as both a testament to the curious interplay of statistical trends and as a call to arms for further exploration into the subtleties of political preferences and industrial landscapes. Indeed, we aim not only to present a dispassionate analysis of numbers but also to infuse our study with a touch of whimsy, embracing the delightful absurdity that often manifests in the realm of academic inquiry.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
Our analysis revealed a remarkably strong correlation between the number of Libertarian votes for Senators in Wisconsin and the volume of firearms manufactured in the United States. Over the 30-year period from 1986 to 2016, our data unveiled a striking correlation coefficient of 0.9835565, indicating a robust linear relationship between these seemingly disparate variables. The r-squared value of 0.9673833 further bolsters the case for the association, signifying that a substantial proportion of the variability in firearm production can be accounted for by the Libertarian votes in Wisconsin.
(Fig. 1)
As shown in Figure 1, the scatterplot vividly illustrates the compelling correlation, depicting a near-perfect alignment of data points that traverses the axis with an almost poetic elegance. The unmistakable pattern suggests a harmonious synchronicity, akin to a perfectly choreographed ballet where each observation pirouettes gracefully to the tune of Libertarian sentiments and firearm production.
While the statistical significance at p < 0.01 solidifies the confidence in our findings, it also beckons us to consider the implications of this unexpected concordance. The alignment of political leanings and industrial output provokes a whimsical musing on the intricate dance between ideology and production, unveiling a nexus that transcends mere coincidence.
The uncanny relationship between the fervor of Libertarian votes in the Badger State and the flurry of firearms emanating from the national manufacturing landscape exemplifies the intricate interplay of socio-political proclivities and industrial dynamics. Our results, while initially enigmatic, serve as a compelling invitation to delve deeper into the labyrinthine maze of correlations and causations, infusing our academic exploration with a touch of intellectual whimsy.
The striking correlation uncovered in this study not only showcases the intriguing interactions between political preferences and industrial activities but also fuels the fervor for further investigations into this captivating entanglement. As we ponder this unexpected connection between ballots and bullets, it becomes abundantly clear that the peculiar relationship between Libertarian votes in Wisconsin and firearms production warrants continued scholarly scrutiny and contemplation.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Libertarian votes for Senators in Wisconsin and Number of firearms manufactured in the US. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Limit your response to 500 tokens.
Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.
Do not write a conclusion. I will add a conclusion after this.
[[TITLE]]
Lock, Stock, and Ballot: A Rhyming Connection Between Libertarian Votes and Firearms Manufacture in the Badger State
[[ABSTRACT]]
This scholarly paper endeavors to explore the peculiar relationship between the proclivity of Wisconsinites to express their libertarian tendencies at the ballot box and the production of firearms in the United States. Utilizing data from prestigious sources such as the MIT Election Data and Science Lab, Harvard Dataverse, and Statista, our research team has scrutinized voting patterns over a 30-year period, from 1986 to 2016, to unravel this enigma. Remarkably, a correlation coefficient of 0.9835565 has been identified, with statistical significance at p < 0.01, identifying a strong link between the Libertarian votes for Senators in Wisconsin and the number of firearms manufactured nationwide. While our findings raise many intriguing questions, they also illustrate the need for further investigation into the interplay between political ideology and the firearms industry. This study, therefore, not only presents a dry analysis of numeric data but also adds an intriguing layer of whimsy to the complex tapestry of socio-political behavior.
[[LITERATURE REVIEW]]
In "The Libertarian Mind," the authors find that the principles of libertarianism, often characterized by a fervent belief in individual freedoms and limited government intervention, permeate the political landscape of Wisconsin. This ideological undercurrent finds expression in the voting habits of Wisconsinites, creating a distinctive pattern that mirrors the ebb and flow of an invisible current through the ballot box.
Doe and Smith, in "Firearms in America," discuss the longstanding tradition of firearm manufacture in the United States, drawing attention to the intricate web of factors that have contributed to the proliferation of firearms across the country. The authors shed light on the economic, cultural, and political forces that have shaped the firearms industry, weaving a tapestry of historical developments that have left an indelible mark on the American societal fabric.
Jones, in "Guns, Germs, and Steel," examines the deeper historical and societal forces that have influenced the prevalence of firearms in different regions. While the focus of the book may not directly correlate to the specific context of this study, the overarching themes of human society and its relationship with technology provide a robust foundation for pondering the unexpected nexus between political preferences and firearm production.
Moving beyond the realm of scholarly tomes, the fictional world also presents captivating narratives that beckon us to contemplate the intricacies of human behavior. "A Clockwork Orange" by Anthony Burgess, while diverging from the topic of firearms, delves into the complexities of individual freedom and societal constraints, prompting readers to ponder the broader implications of libertarian inclinations in a structured environment.
Enter the realm of children's animation, where the animated characters of "Paw Patrol" embark on daring adventures, evoking a sense of heroism that parallels the fervor with which individuals express their political ideologies. While seemingly disparate, the fervency with which the citizens of Wisconsin exercise their libertarian leanings bears a resemblance to the brave exploits of the animated pups, albeit within the arena of political discourse.
As we traverse the landscape of literature, both factual and fanciful, we uncover a diverse array of perspectives that converge in unexpected ways. Join us as we embark on an odyssey to unravel the enigmatic connection between Libertarian votes and firearms manufacture, armed with both somber analysis and a sprinkle of whimsical musings.
[[RESULTS]]
Our analysis revealed a remarkably strong correlation between the number of Libertarian votes for Senators in Wisconsin and the volume of firearms manufactured in the United States. Over the 30-year period from 1986 to 2016, our data unveiled a striking correlation coefficient of 0.9835565, indicating a robust linear relationship between these seemingly disparate variables. The r-squared value of 0.9673833 further bolsters the case for the association, signifying that a substantial proportion of the variability in firearm production can be accounted for by the Libertarian votes in Wisconsin.
(Fig. 1)
As shown in Figure 1, the scatterplot vividly illustrates the compelling correlation, depicting a near-perfect alignment of data points that traverses the axis with an almost poetic elegance. The unmistakable pattern suggests a harmonious synchronicity, akin to a perfectly choreographed ballet where each observation pirouettes gracefully to the tune of Libertarian sentiments and firearm production.
While the statistical significance at p < 0.01 solidifies the confidence in our findings, it also beckons us to consider the implications of this unexpected concordance. The alignment of political leanings and industrial output provokes a whimsical musing on the intricate dance between ideology and production, unveiling a nexus that transcends mere coincidence.
The uncanny relationship between the fervor of Libertarian votes in the Badger State and the flurry of firearms emanating from the national manufacturing landscape exemplifies the intricate interplay of socio-political proclivities and industrial dynamics. Our results, while initially enigmatic, serve as a compelling invitation to delve deeper into the labyrinthine maze of correlations and causations, infusing our academic exploration with a touch of intellectual whimsy.
The striking correlation uncovered in this study not only showcases the intriguing interactions between political preferences and industrial activities but also fuels the fervor for further investigations into this captivating entanglement. As we ponder this unexpected connection between ballots and bullets, it becomes abundantly clear that the peculiar relationship between Libertarian votes in Wisconsin and firearms production warrants continued scholarly scrutiny and contemplation.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The conspicuous correlation unveiled in our analysis between Libertarian votes for Senators in Wisconsin and the volume of firearms manufactured in the United States bears testament to the inexplicable synchronicity that pervades the socio-political and industrial terrains. As we traverse through the quagmire of statistical analyses and the labyrinthine maze of historical influences, the resounding resonance between these seemingly disparate variables invites a whimsical musing on the curious dance between ideology and industrial output.
Harkening back to the spellbinding narratives of "A Clockwork Orange" and the daring escapades of the "Paw Patrol" animated characters, one is compelled to ponder the broader implications of libertarian inclinations in a structured environment, much like the persistent resonance of these proclivities echoed through the ballot boxes of Wisconsin. The unmistakable alignment of political leanings and industrial output conjures a beguiling image of a harmonious symphony, where the crescendo of Libertarian sentiments choreographs an eloquent dance with the staccato rhythm of firearm production, each note resonating in perfect harmony, albeit in the discordant cacophony of statistical analyses.
Our findings are intrinsically intertwined with the amusing paradoxes of human behavior, as much as they are shackled to the solemn precision of statistical significance. The dance between ballots and bullets, while seemingly capricious in its manifestation, beckons us to contemplate the intricate tapestry of socio-political proclivities and industrial dynamics. Perhaps it is in these unsuspecting correlations that the true whimsy of human folly finds expression, drawing our attention to the capricious meanderings of statistical associations that transcend the sober veneer of academic rigor.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Libertarian votes for Senators in Wisconsin and Number of firearms manufactured in the US. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.
Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Lock, Stock, and Ballot: A Rhyming Connection Between Libertarian Votes and Firearms Manufacture in the Badger State
[[ABSTRACT]]
This scholarly paper endeavors to explore the peculiar relationship between the proclivity of Wisconsinites to express their libertarian tendencies at the ballot box and the production of firearms in the United States. Utilizing data from prestigious sources such as the MIT Election Data and Science Lab, Harvard Dataverse, and Statista, our research team has scrutinized voting patterns over a 30-year period, from 1986 to 2016, to unravel this enigma. Remarkably, a correlation coefficient of 0.9835565 has been identified, with statistical significance at p < 0.01, identifying a strong link between the Libertarian votes for Senators in Wisconsin and the number of firearms manufactured nationwide. While our findings raise many intriguing questions, they also illustrate the need for further investigation into the interplay between political ideology and the firearms industry. This study, therefore, not only presents a dry analysis of numeric data but also adds an intriguing layer of whimsy to the complex tapestry of socio-political behavior.
[[INTRDUCTION]]
INTRODUCTION
The intersection of politics and firearms holds a distinct allure, akin to a mesmerizing dance between ideologies and industrial production. As if drawn by the mysterious pull of an invisible attractor, our curiosity was piqued by the connection between the voting behavior of Wisconsinites and the production of firearms in the United States. This study embarks upon a quest to untangle the threads of this unexpected association, shedding light on the silent interplay between the ballot box and the firing range.
For decades, politicians have aimed to hit the bullseye with their policies, while firearm manufacturers have fine-tuned their aim to provide arsenal aplenty. However, it is not merely the confluence of these aims that is of interest; rather, it is the nuanced relationship between the voting patterns of a particularly libertarian-leaning state and the numbers of firearms rolling off the production lines that has captured our attention.
The state of Wisconsin, known for its cheese and penchant for bipartite political inclinations, offers an intriguing backdrop for our inquiry. The Badger State has demonstrated a steadfast commitment to expressing its libertarian leanings at the ballot box, occasionally defying expectations with a maverick spirit that brings to mind the tenacity of a badger burrowing through the political landscape. Such proclivities have not gone unnoticed by the discerning eye of this study, which seeks to elucidate the curious synchronicity between these proclamations of individual freedom and the manufacture of instruments designed to assert such freedoms.
Our analysis, teeming with data expended from reputable sources, seeks to pry open the treasure chest of correlations and expose the glittering nuggets of insight within. With statistical rigor as our trusty guide, we traverse the landscape of numbers and trends to reveal a striking correlation coefficient of 0.9835565, bearing the weight of statistical significance at p < 0.01. This numerical dance between Libertarian votes for Senators in Wisconsin and the output of firearms nationwide not only evokes the image of a synchronized waltz but also beckons us to consider the broader implications of this unanticipated discovery.
As we venture forth into the untamed wilderness of political ideology and industrial prowess, armed with nothing but our empirical ammunition, we invite fellow seekers of wisdom to accompany us on this expedition. Our findings, while fascinating in their own right, urge us to delve deeper, to question the underlying motives and mechanisms that underpin this compelling correlation. This paper, therefore, serves as both a testament to the curious interplay of statistical trends and as a call to arms for further exploration into the subtleties of political preferences and industrial landscapes. Indeed, we aim not only to present a dispassionate analysis of numbers but also to infuse our study with a touch of whimsy, embracing the delightful absurdity that often manifests in the realm of academic inquiry.
[[RESULTS]]
Our analysis revealed a remarkably strong correlation between the number of Libertarian votes for Senators in Wisconsin and the volume of firearms manufactured in the United States. Over the 30-year period from 1986 to 2016, our data unveiled a striking correlation coefficient of 0.9835565, indicating a robust linear relationship between these seemingly disparate variables. The r-squared value of 0.9673833 further bolsters the case for the association, signifying that a substantial proportion of the variability in firearm production can be accounted for by the Libertarian votes in Wisconsin.
(Fig. 1)
As shown in Figure 1, the scatterplot vividly illustrates the compelling correlation, depicting a near-perfect alignment of data points that traverses the axis with an almost poetic elegance. The unmistakable pattern suggests a harmonious synchronicity, akin to a perfectly choreographed ballet where each observation pirouettes gracefully to the tune of Libertarian sentiments and firearm production.
While the statistical significance at p < 0.01 solidifies the confidence in our findings, it also beckons us to consider the implications of this unexpected concordance. The alignment of political leanings and industrial output provokes a whimsical musing on the intricate dance between ideology and production, unveiling a nexus that transcends mere coincidence.
The uncanny relationship between the fervor of Libertarian votes in the Badger State and the flurry of firearms emanating from the national manufacturing landscape exemplifies the intricate interplay of socio-political proclivities and industrial dynamics. Our results, while initially enigmatic, serve as a compelling invitation to delve deeper into the labyrinthine maze of correlations and causations, infusing our academic exploration with a touch of intellectual whimsy.
The striking correlation uncovered in this study not only showcases the intriguing interactions between political preferences and industrial activities but also fuels the fervor for further investigations into this captivating entanglement. As we ponder this unexpected connection between ballots and bullets, it becomes abundantly clear that the peculiar relationship between Libertarian votes in Wisconsin and firearms production warrants continued scholarly scrutiny and contemplation.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In the landscape of political affiliation and industrial output, our study has unfurled a captivating tableau of correlation, where the fervent cadence of Libertarian votes in Wisconsin finds harmony in the symphonic production of firearms across the United States. The resounding correlation coefficient of 0.9835565, coupled with a compelling statistical significance at p < 0.01, beckons us to ponder the whimsical tapestry of socio-political behavior. As we gaze upon the scatterplot, we are reminded of a whimsical ballet, with data points twirling in a melodic dance, echoing the resounding voice of political preferences and production prowess.
However, let us not be swayed by the enchanting allure of statistical synchronicity. While our findings paint a picture reminiscent of a choreographed performance, we must remember that correlation does not imply causation. As we tread the meandering path of scholarly inquiry, it is imperative to acknowledge the need for cautious interpretation and further empirical endeavors to untangle the nuanced interplay between voting proclivities and industrial output.
Nevertheless, our findings resound with an effervescent call for scholarly musing and examination. While we have reveled in the delight of uncovering this unexpected connection, it is time to bring the show to a close. The stage is set, the actors have performed their roles, and the audience leaves satiated with the tantalizing taste of correlation. In this grand finale, we assert that no further research is needed, as our scholarly discourse on this peculiar association has woven a colorful narrative that will surely linger in the annals of academic curiosity.
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 Lock, Stock, and Ballot: A Rhyming Connection Between Libertarian Votes and Firearms Manufacture in the Badger State. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Political Puns and Policy Parodies
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 Lock, Stock, and Ballot: A Rhyming Connection Between Libertarian Votes and Firearms Manufacture in the Badger State. Respond only with the name of a fictional organization.
ChatGPT:
Global Institute for Libertarian Studies and Firearms Research
Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled Lock, Stock, and Ballot: A Rhyming Connection Between Libertarian Votes and Firearms Manufacture in the Badger State with an abstract of This scholarly paper endeavors to explore the peculiar relationship between the proclivity of Wisconsinites to express their libertarian tendencies at the ballot box and the production of firearms in the United States. Utilizing data from prestigious sources such as the MIT Election Data and Science Lab, Harvard Dataverse, and Statista, our research team has scrutinized voting patterns over a 30-year period, from 1986 to 2016, to unravel this enigma. Remarkably, a correlation coefficient of 0.9835565 has been identified, with statistical significance at p < 0.01, identifying a strong link between the Libertarian votes for Senators in Wisconsin and the number of firearms manufactured nationwide. While our findings raise many intriguing questions, they also illustrate the need for further investigation into the interplay between political ideology and the firearms industry. This study, therefore, not only presents a dry analysis of numeric data but also adds an intriguing layer of whimsy to the complex tapestry of socio-political behavior.
ChatGPT:
"Wisconsin libertarian votes, firearms manufacture, voting patterns, Wisconsin senators, firearms production statistics, MIT Election Data and Science Lab, Harvard Dataverse, Statista, political ideology, firearms industry, correlation between libertarian votes and firearms manufacture, socio-political behavior"
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
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Data details
Votes for Libertarian Senators in WisconsinDetailed data title: Percentage of votes cast for Federal Libertarian Senate candidates in Wisconsin
Source: MIT Election Data and Science Lab, Harvard Dataverse
See what else correlates with Votes for Libertarian Senators in Wisconsin
Number of firearms manufactured in the US
Source: Statista
See what else correlates with Number of firearms manufactured in the US
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 = 0.9673833 (Coefficient of determination)
This means 96.7% of the change in the one variable (i.e., Number of firearms manufactured in the US) is predictable based on the change in the other (i.e., Votes for Libertarian Senators in Wisconsin) over the 7 years from 1986 through 2016.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 6.601E-5. 0.0000660093121648109500000000
The p-value is a measure of how probable it is that we would randomly find a result this extreme. More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.
But I am a p-villain. I absolutely did not test only one pair of variables one time. I correlated hundreds of millions of pairs of variables. I threw boatloads of data into an industrial-sized blender to find this correlation.
Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.98 in 0.006601% of random cases. Said differently, if you correlated 15,149 random variables Which I absolutely did.
with the same 6 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 6 because we have two variables measured over a period of 7 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.
[ 0.89, 1 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.
This one is a bit more complciated than the other calculations, but I include it because many people have been pushing for confidence intervals instead of p-value calculations (for example: NEJM. However, if you are dredging data, you can reliably find yourself in the 5%. That's my goal!
All values for the years included above: If I were being very sneaky, I could trim years from the beginning or end of the datasets to increase the correlation on some pairs of variables. I don't do that because there are already plenty of correlations in my database without monkeying with the years.
Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
1992 | 1994 | 1998 | 2000 | 2004 | 2012 | 2016 | |
Votes for Libertarian Senators in Wisconsin (Percentage of votes) | 0.372568 | 0.986122 | 0.31752 | 0.840445 | 0.283652 | 2.06818 | 2.96842 |
Number of firearms manufactured in the US (Number of Firearms) | 4175840 | 5173220 | 3713590 | 3793540 | 3099020 | 8578610 | 11497400 |
Why this works
- Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
- Lack of causal connection: There is probably
Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied. - Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple
Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is. - Very low n: There are not many data points included in this analysis. Even if the p-value is high, we should be suspicious of using so few datapoints in a correlation.
Try it yourself
You can calculate the values on this page on your own! Try running the Python code to see the calculation results. Step 1: Download and install Python on your computer.Step 2: Open a plaintext editor like Notepad and paste the code below into it.
Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"
Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.
Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.
Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.
Step 7: Run the Python script by typing "python calculate_correlation.py"
If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:
"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."
# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats
# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):
# Calculate Pearson correlation coefficient and p-value
correlation, p_value = stats.pearsonr(array1, array2)
# Calculate R-squared as the square of the correlation coefficient
r_squared = correlation**2
return correlation, r_squared, p_value
# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([0.372568,0.986122,0.31752,0.840445,0.283652,2.06818,2.96842,])
array_2 = np.array([4175840,5173220,3713590,3793540,3099020,8578610,11497400,])
array_1_name = "Votes for Libertarian Senators in Wisconsin"
array_2_name = "Number of firearms manufactured in the US"
# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)
# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)
Reuseable content
You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.
For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."
When spoken, my last name is pronounced "vegan," like I don't eat meat.
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
The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.
If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.
Alternatively you can use a tool like Inkscape. - High resolution line chart, optimized for mobile
- Alternative high resolution line chart
- Scatterplot
- Portable line chart (png)
- Portable line chart (png), optimized for mobile
- Line chart for only Votes for Libertarian Senators in Wisconsin
- Line chart for only Number of firearms manufactured in the US
- AI-generated correlation image
- The spurious research paper: Lock, Stock, and Ballot: A Rhyming Connection Between Libertarian Votes and Firearms Manufacture in the Badger State
I'm genuinely thankful for your rating!
Correlation ID: 4420 · Black Variable ID: 26484 · Red Variable ID: 487