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AI explanation
The spike in Votes for the Libertarian Presidential candidate in Indiana led to the Automotive recalls for Air Bag issues because as the support for a candidate promoting 'free(dom) market' competition grew, the car manufacturers felt the pressure to cut corners, leading to a 'deflating' outcome for the safety of the air bags.Model: dalle-3
Prompt: [ A photo-realistic image ] Create an image of an Indiana scene where a ballot box stands prominently in the foreground, overflowing with votes for the Libertarian Presidential candidate. In the background, a bustling and crowded parking lot filled with cars waiting for airbag recalls should contrast the political scene, symbolizing the safety concerns arising from the increased support for the candidate advocating 'free(dom) market' competition. The image should captivate the viewer by subtly blending the political and safety themes into a visually striking representation of the scenario. 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: Votes for the Libertarian Presidential candidate in Indiana and Automotive recalls for issues with the Air Bags. 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: Realistic Whimsical illustration A photo-realistic image a funny image you would see on reddit Magic realism
ChatGPT: A photo-realistic image
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 Votes for the Libertarian Presidential candidate in Indiana and Automotive recalls for issues with the Air Bags, in the following situation: The spike in Votes for the Libertarian Presidential candidate in Indiana led to the Automotive recalls for Air Bag issues because as the support for a candidate promoting 'free(dom) market' competition grew, the car manufacturers felt the pressure to cut corners, leading to a 'deflating' outcome for the safety of the air bags.. Keep the description simple.
ChatGPT: In Indiana, a ballot box overflows with votes for the Libertarian Presidential candidate, while in a crowded parking lot, cars are lined up for airbag recalls, symbolizing the safety concerns arising from the increase in support for the candidate promoting 'free(dom) market' competition.
Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ A photo-realistic image ] and depicting this scene: In Indiana, a ballot box overflows with votes for the Libertarian Presidential candidate, while in a crowded parking lot, cars are lined up for airbag recalls, symbolizing the safety concerns arising from the increase in support for the candidate promoting 'free(dom) market' competition. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: [ A photo-realistic image ] Create an image of an Indiana scene where a ballot box stands prominently in the foreground, overflowing with votes for the Libertarian Presidential candidate. In the background, a bustling and crowded parking lot filled with cars waiting for airbag recalls should contrast the political scene, symbolizing the safety concerns arising from the increased support for the candidate advocating 'free(dom) market' competition. The image should captivate the viewer by subtly blending the political and safety themes into a visually striking representation of the scenario.
*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 Votes for the Libertarian Presidential candidate in Indiana caused Automotive recalls for issues with the Air Bags to increase. Include one good pun.
AI academic paper
Air Bags and Ballots: Unpacking the Relationship Between Libertarian Presidential Votes in Indiana and Automotive Recalls The Journal of Sociopolitical Quirks and Unlikely Correlations Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You write titles and abstracts of goofy academic research papers.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, and add unexpected twists in your writing.
Please draft the title and abstract of an academic research paper presenting the findings of the connection between Votes for the Libertarian Presidential candidate in Indiana and Automotive recalls for issues with the Air Bags. Make lots of jokes, goofy observations, and puns.
Make the title punny if you can come up with clever pun. If not, just make it sound clever.
Your research team used data from MIT Election Data and Science Lab, Harvard Dataverse and US DOT to assess this nagging question. You found a correlation coefficient of 0.9715425 and p < 0.01 for 1990 to 2020.
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]]
"Air Bags and Ballots: Unpacking the Relationship Between Libertarian Presidential Votes in Indiana and Automotive Recalls"
[[ABSTRACT]]
This paper investigates the surprising connection between votes for the Libertarian presidential candidate in Indiana and automotive recalls for issues with air bags. Leveraging data from MIT Election Data and Science Lab, Harvard Dataverse, and the US Department of Transportation, our research team analyzed voting patterns and automotive recall data from 1990 to 2020. The study reveals a striking correlation coefficient of 0.9715425 and a statistically significant p-value of less than 0.01, suggesting a robust relationship between the two seemingly disparate phenomena. Our findings shed light on the unforeseen influence of political preferences on automotive safety, and spark intriguing discussions about the interplay between civic engagement and vehicular technology.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the introduction section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the introduction section of an academic research paper presenting the findings of the connection between Votes for the Libertarian Presidential candidate in Indiana and Automotive recalls for issues with the Air Bags. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Here is the title and abstract of the paper:
[[TITLE]]
"Air Bags and Ballots: Unpacking the Relationship Between Libertarian Presidential Votes in Indiana and Automotive Recalls"
[[ABSTRACT]]
This paper investigates the surprising connection between votes for the Libertarian presidential candidate in Indiana and automotive recalls for issues with air bags. Leveraging data from MIT Election Data and Science Lab, Harvard Dataverse, and the US Department of Transportation, our research team analyzed voting patterns and automotive recall data from 1990 to 2020. The study reveals a striking correlation coefficient of 0.9715425 and a statistically significant p-value of less than 0.01, suggesting a robust relationship between the two seemingly disparate phenomena. Our findings shed light on the unforeseen influence of political preferences on automotive safety, and spark intriguing discussions about the interplay between civic engagement and vehicular technology.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
INTRODUCTION
In the seemingly unrelated worlds of politics and automotive safety, a curious correlation has stoked the fires of academic inquiry in recent years. It has been noticed, much to the surprise of many, that there exists a notable relationship between votes for the Libertarian presidential candidate in the state of Indiana and automotive recalls for air bag issues. As strange as it may sound, this fascinating connection has raised eyebrows, piqued curiosity, and spurred us to engage in an in-depth investigation to unravel the mystery behind this unlikely association.
The purpose of this study is to delve into the unexpected relationship between political behavior and consumer safety in the automotive industry. At first glance, it may seem as ludicrous as attempting to correlate the number of vegans in a city with the frequency of potholes in its streets – an endeavor that some might sarcastically label as "veganism causing road hazards," if we may permit ourselves a touch of levity. Nonetheless, our earnest pursuit of scholarly inquiry asks whether such a correlation is mere happenstance or harbors a deeper, underlying connection waiting to be unearthed.
To ward off skepticism, it is important to clarify that this investigation is grounded in rigorous statistical analysis. Leveraging data from reputable sources such as the MIT Election Data and Science Lab, Harvard Dataverse, and the US Department of Transportation, we meticulously examined voting patterns and automotive recall data from 1990 to 2020. Through meticulous mathematical scrutiny and methodological precision, we have emerged with a correlation coefficient that is nothing short of astonishing: 0.9715425. This coefficient is coupled with a statistically significant p-value of less than 0.01, indicating a robust and noteworthy relationship between the two seemingly disparate realms.
By shedding light on this intriguing phenomenon, our research not only contributes to the growing field of interdisciplinary studies but also invites contemplation on the broader implications of political preferences on everyday aspects of life, such as vehicular safety. Studying the influence of political choices on automotive technology serves as fertile ground for understanding the intricate ways in which civic engagement and consumer welfare intersect. Moreover, it elicits whimsical musings about how a vote cast or uncast could potentially ripple through the fabric of automotive design and engineering, albeit in ways hitherto unexplored.
Beyond the immediacy of this particular juxtaposition, our research may also open doors to further explorations into the unexpected tentacles of seemingly unrelated paradigms, reminding us all that curiosity can lead to truly bizarre and captivating discoveries. With this outlandish yet academically rigorous inquiry, we embark on a journey to untangle the convoluted web of connections between ballots and air bags, all the while maintaining a discerning eye for rigorous scholarship.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up a literature review section of an academic research paper presenting the findings of the connection between Votes for the Libertarian Presidential candidate in Indiana and Automotive recalls for issues with the Air Bags. Make lots of jokes, goofy observations, and puns.
Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.
Make up the lorem and ipsum part, but make it sound related to the topic at hand.
Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name a few real TV shows that sound like they might be relevant to the topic that you watched as research.
Here is the title and abstract of the paper:
[[TITLE]]
"Air Bags and Ballots: Unpacking the Relationship Between Libertarian Presidential Votes in Indiana and Automotive Recalls"
[[ABSTRACT]]
This paper investigates the surprising connection between votes for the Libertarian presidential candidate in Indiana and automotive recalls for issues with air bags. Leveraging data from MIT Election Data and Science Lab, Harvard Dataverse, and the US Department of Transportation, our research team analyzed voting patterns and automotive recall data from 1990 to 2020. The study reveals a striking correlation coefficient of 0.9715425 and a statistically significant p-value of less than 0.01, suggesting a robust relationship between the two seemingly disparate phenomena. Our findings shed light on the unforeseen influence of political preferences on automotive safety, and spark intriguing discussions about the interplay between civic engagement and vehicular technology.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
INTRODUCTION
In the seemingly unrelated worlds of politics and automotive safety, a curious correlation has stoked the fires of academic inquiry in recent years. It has been noticed, much to the surprise of many, that there exists a notable relationship between votes for the Libertarian presidential candidate in the state of Indiana and automotive recalls for air bag issues. As strange as it may sound, this fascinating connection has raised eyebrows, piqued curiosity, and spurred us to engage in an in-depth investigation to unravel the mystery behind this unlikely association.
The purpose of this study is to delve into the unexpected relationship between political behavior and consumer safety in the automotive industry. At first glance, it may seem as ludicrous as attempting to correlate the number of vegans in a city with the frequency of potholes in its streets – an endeavor that some might sarcastically label as "veganism causing road hazards," if we may permit ourselves a touch of levity. Nonetheless, our earnest pursuit of scholarly inquiry asks whether such a correlation is mere happenstance or harbors a deeper, underlying connection waiting to be unearthed.
To ward off skepticism, it is important to clarify that this investigation is grounded in rigorous statistical analysis. Leveraging data from reputable sources such as the MIT Election Data and Science Lab, Harvard Dataverse, and the US Department of Transportation, we meticulously examined voting patterns and automotive recall data from 1990 to 2020. Through meticulous mathematical scrutiny and methodological precision, we have emerged with a correlation coefficient that is nothing short of astonishing: 0.9715425. This coefficient is coupled with a statistically significant p-value of less than 0.01, indicating a robust and noteworthy relationship between the two seemingly disparate realms.
By shedding light on this intriguing phenomenon, our research not only contributes to the growing field of interdisciplinary studies but also invites contemplation on the broader implications of political preferences on everyday aspects of life, such as vehicular safety. Studying the influence of political choices on automotive technology serves as fertile ground for understanding the intricate ways in which civic engagement and consumer welfare intersect. Moreover, it elicits whimsical musings about how a vote cast or uncast could potentially ripple through the fabric of automotive design and engineering, albeit in ways hitherto unexplored.
Beyond the immediacy of this particular juxtaposition, our research may also open doors to further explorations into the unexpected tentacles of seemingly unrelated paradigms, reminding us all that curiosity can lead to truly bizarre and captivating discoveries. With this outlandish yet academically rigorous inquiry, we embark on a journey to untangle the convoluted web of connections between ballots and air bags, all the while maintaining a discerning eye for rigorous scholarship.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
In recent years, scholars have been drawn to the intriguing relationship between political behavior and automotive safety, particularly the unexpected correlation between votes for the Libertarian presidential candidate in Indiana and automotive recalls for air bag issues. The pursuit of understanding this peculiar association has led to a diverse array of studies and works that illuminate this perplexing phenomenon.
Smith et al. (2016) present a comprehensive analysis of voting patterns in the state of Indiana, highlighting the intriguing consistency in the correlation between Libertarian presidential votes and automotive recalls. Their meticulous examination of voting data from various counties in Indiana unravels the unexpected interplay between political preferences and vehicular safety.
Building upon Smith et al.'s pioneering work, Doe and Jones (2018) delve deeper into the underlying mechanisms of this correlation, exploring the potentially confounding variables that may contribute to the observed relationship. Their rigorous statistical analysis underscores the complexity of this phenomenon, prompting readers to contemplate the intricate dynamics at play.
In "Air Bags and Beyond: Unraveling Unconventional Connections" (Book, 2020), the authors offer a thought-provoking perspective on the interwoven nature of political phenomena and automotive safety, urging readers to reconsider conventional boundaries between seemingly disparate domains. Their insightful examination challenges traditional disciplinary confines and invites readers to embrace the unexpected connections that underlie everyday experiences.
Lorem and Ipsum (Journal Article, 2019) introduce a whimsical yet scholarly dissection of the correlation between votes for the Libertarian candidate and automotive recalls, infusing their analysis with a lighthearted touch while maintaining methodological rigor. Their engaging exploration captures the imagination and sparks playful contemplation of the interplay between politics and automotive technology.
And now, shifting from the realm of serious academic studies to a more unorthodox investigation, we cannot overlook the sway of fiction in inspiring unconventional inquiries. Works such as "The Air Bag Conspiracy" (Novel, 2015) and "Libertarianism and Air Bag Anomalies: A Fictional Inquiry" (Novel, 2017) intricately weave together political intrigue and automotive mishaps, providing an imaginative lens through which to contemplate the entangled relationship between these seemingly unrelated entities.
Additionally, the bustling world of television, often a source of entertainment, has also served as a wellspring of inspiration for the exploration of unexpected connections. TV shows such as "The Politics of Air Bags" and "Presidential Recalls: A Libertarian Perspective" offer lively narratives that playfully toy with the notion of political influence on automotive safety. These televised musings, while light-hearted, prompt viewers to ponder the potential interplay between ballots and air bags in a captivating and entertaining manner, underscoring the depth of public interest in this remarkable correlation.
As the literature so humorously elucidates, the intersection of libertarian votes and automotive recalls for air bag issues has not only captivated scholarly inquiry but has also spurred imaginative forays into fiction and television. The expanse of sources examined underscores the pervasive intrigue surrounding this unlikely association and the diverse ways in which scholars and creatives alike have sought to unravel its enigmatic allure.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the methodology section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the methodology section of an academic research paper presenting the findings of the connection between Votes for the Libertarian Presidential candidate in Indiana and Automotive recalls for issues with the Air Bags. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Your research team collected data from all across the internet, but mostly just used information from MIT Election Data and Science Lab, Harvard Dataverse and US DOT . You used data from 1990 to 2020
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]]
"Air Bags and Ballots: Unpacking the Relationship Between Libertarian Presidential Votes in Indiana and Automotive Recalls"
[[ABSTRACT]]
This paper investigates the surprising connection between votes for the Libertarian presidential candidate in Indiana and automotive recalls for issues with air bags. Leveraging data from MIT Election Data and Science Lab, Harvard Dataverse, and the US Department of Transportation, our research team analyzed voting patterns and automotive recall data from 1990 to 2020. The study reveals a striking correlation coefficient of 0.9715425 and a statistically significant p-value of less than 0.01, suggesting a robust relationship between the two seemingly disparate phenomena. Our findings shed light on the unforeseen influence of political preferences on automotive safety, and spark intriguing discussions about the interplay between civic engagement and vehicular technology.
[[INTRODUCTION]]
INTRODUCTION
In the seemingly unrelated worlds of politics and automotive safety, a curious correlation has stoked the fires of academic inquiry in recent years. It has been noticed, much to the surprise of many, that there exists a notable relationship between votes for the Libertarian presidential candidate in the state of Indiana and automotive recalls for air bag issues. As strange as it may sound, this fascinating connection has raised eyebrows, piqued curiosity, and spurred us to engage in an in-depth investigation to unravel the mystery behind this unlikely association.
The purpose of this study is to delve into the unexpected relationship between political behavior and consumer safety in the automotive industry. At first glance, it may seem as ludicrous as attempting to correlate the number of vegans in a city with the frequency of potholes in its streets – an endeavor that some might sarcastically label as "veganism causing road hazards," if we may permit ourselves a touch of levity. Nonetheless, our earnest pursuit of scholarly inquiry asks whether such a correlation is mere happenstance or harbors a deeper, underlying connection waiting to be unearthed.
To ward off skepticism, it is important to clarify that this investigation is grounded in rigorous statistical analysis. Leveraging data from reputable sources such as the MIT Election Data and Science Lab, Harvard Dataverse, and the US Department of Transportation, we meticulously examined voting patterns and automotive recall data from 1990 to 2020. Through meticulous mathematical scrutiny and methodological precision, we have emerged with a correlation coefficient that is nothing short of astonishing: 0.9715425. This coefficient is coupled with a statistically significant p-value of less than 0.01, indicating a robust and noteworthy relationship between the two seemingly disparate realms.
By shedding light on this intriguing phenomenon, our research not only contributes to the growing field of interdisciplinary studies but also invites contemplation on the broader implications of political preferences on everyday aspects of life, such as vehicular safety. Studying the influence of political choices on automotive technology serves as fertile ground for understanding the intricate ways in which civic engagement and consumer welfare intersect. Moreover, it elicits whimsical musings about how a vote cast or uncast could potentially ripple through the fabric of automotive design and engineering, albeit in ways hitherto unexplored.
Beyond the immediacy of this particular juxtaposition, our research may also open doors to further explorations into the unexpected tentacles of seemingly unrelated paradigms, reminding us all that curiosity can lead to truly bizarre and captivating discoveries. With this outlandish yet academically rigorous inquiry, we embark on a journey to untangle the convoluted web of connections between ballots and air bags, all the while maintaining a discerning eye for rigorous scholarship.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
METHODOLOGY
Our research employed a comprehensive and quirky methodology to investigate the peculiar relationship between votes for the Libertarian presidential candidate in Indiana and automotive recalls for issues with air bags. Leveraging a diverse range of data sources, including the MIT Election Data and Science Lab, Harvard Dataverse, and the US Department of Transportation, we embarked on an intellectually stimulating journey to unravel this enigma.
Data Collection:
To access the voting behavior of Hoosiers, we scrupulously combed through historical election data from 1990 to 2020, mining the depths of the MIT Election Data and Science Lab with the fervor of a prospector seeking rare gems. Our team sifted through an extensive array of datasets, carefully selecting and collating information on votes cast for the Libertarian presidential candidate in Indiana.
Simultaneously, our quest for automotive recall data resembled a treasure hunt in the labyrinthine corridors of the Harvard Dataverse and the US Department of Transportation. We meticulously identified and extracted recall information related to air bag issues from a plethora of datasets spanning three decades, treating each dataset with the reverence of an archaeologist delicately brushing the dust off ancient artifacts.
Data Analysis:
As we ventured into the realm of statistical analysis, our toolkit resembled a whimsical amalgamation of Sherlock Holmes' deductive reasoning and the eccentricity of Alice in Wonderland. Employing multivariate regression models and time series analysis, we meticulously dissected the datasets with the dexterity of a chef skillfully filleting a fish. Our statistical models were tailored to capture the nuanced interplay between libertarian votes and automotive recalls, akin to a choreographed waltz between seemingly incongruous partners.
With each keystroke and syntax, we orchestrated a symphony of statistical tests, including correlation analysis and hypothesis testing, akin to a maestro conducting a philharmonic orchestra. The raw data were elegantly wrangled and transformed into refined insights, much like alchemists transmuting base metals into precious gold.
Ethical Considerations:
Throughout our research, ethical considerations were upheld with the gravity of a judicial oath. We meticulously adhered to best practices and ethical guidelines, ensuring the integrity and confidentiality of the data. Our team approached the data with the respect and caution befitting a sorcerer handling potent magical artifacts, maintaining stringent protocols to safeguard participant privacy and anonymity.
With an unwavering commitment to transparency and credibility, we recognize the inherent responsibility that accompanies the pursuit of knowledge. Our methodology was anchored in the bedrock of ethical conduct, ensuring that every aspect of our research adhered to the highest standards of scholarly inquiry and ethical rigor.
Limitations:
Despite the exhaustive and exhilarating nature of our methodology, it is important to acknowledge the inherent limitations of our approach. While our analysis has unearthed a remarkably strong correlation between libertarian votes in Indiana and automotive recalls for air bag issues, causation cannot be unilaterally inferred based solely on the association observed. Moreover, the complexities of human behavior and automotive safety are akin to a Byzantine maze, and our methodology may not encapsulate the entirety of this intricate relationship.
As we conclude this methodological exposition, we humbly recognize that no research endeavor is immune to limitations. Nevertheless, our diligent and methodologically eclectic approach has allowed us to unravel the enthralling connection between political ballots and vehicular air bags, marking an exciting milestone in the annals of interdisciplinary research.
---
I hope you find the quirky methodology suitable for your research paper.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the results section of an academic research paper. You speak in the past tense (you found...).
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the results section of an academic research paper presenting the findings of the connection between Votes for the Libertarian Presidential candidate in Indiana and Automotive recalls for issues with the Air Bags. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Your research team collected data from all across the internet, but mostly just used information from MIT Election Data and Science Lab, Harvard Dataverse and US DOT .
For the time period 1990 to 2020, you found a correlation 0.9715425, r-squared of 0.9438947, 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]]
"Air Bags and Ballots: Unpacking the Relationship Between Libertarian Presidential Votes in Indiana and Automotive Recalls"
[[ABSTRACT]]
This paper investigates the surprising connection between votes for the Libertarian presidential candidate in Indiana and automotive recalls for issues with air bags. Leveraging data from MIT Election Data and Science Lab, Harvard Dataverse, and the US Department of Transportation, our research team analyzed voting patterns and automotive recall data from 1990 to 2020. The study reveals a striking correlation coefficient of 0.9715425 and a statistically significant p-value of less than 0.01, suggesting a robust relationship between the two seemingly disparate phenomena. Our findings shed light on the unforeseen influence of political preferences on automotive safety, and spark intriguing discussions about the interplay between civic engagement and vehicular technology.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
INTRODUCTION
In the seemingly unrelated worlds of politics and automotive safety, a curious correlation has stoked the fires of academic inquiry in recent years. It has been noticed, much to the surprise of many, that there exists a notable relationship between votes for the Libertarian presidential candidate in the state of Indiana and automotive recalls for air bag issues. As strange as it may sound, this fascinating connection has raised eyebrows, piqued curiosity, and spurred us to engage in an in-depth investigation to unravel the mystery behind this unlikely association.
The purpose of this study is to delve into the unexpected relationship between political behavior and consumer safety in the automotive industry. At first glance, it may seem as ludicrous as attempting to correlate the number of vegans in a city with the frequency of potholes in its streets – an endeavor that some might sarcastically label as "veganism causing road hazards," if we may permit ourselves a touch of levity. Nonetheless, our earnest pursuit of scholarly inquiry asks whether such a correlation is mere happenstance or harbors a deeper, underlying connection waiting to be unearthed.
To ward off skepticism, it is important to clarify that this investigation is grounded in rigorous statistical analysis. Leveraging data from reputable sources such as the MIT Election Data and Science Lab, Harvard Dataverse, and the US Department of Transportation, we meticulously examined voting patterns and automotive recall data from 1990 to 2020. Through meticulous mathematical scrutiny and methodological precision, we have emerged with a correlation coefficient that is nothing short of astonishing: 0.9715425. This coefficient is coupled with a statistically significant p-value of less than 0.01, indicating a robust and noteworthy relationship between the two seemingly disparate realms.
By shedding light on this intriguing phenomenon, our research not only contributes to the growing field of interdisciplinary studies but also invites contemplation on the broader implications of political preferences on everyday aspects of life, such as vehicular safety. Studying the influence of political choices on automotive technology serves as fertile ground for understanding the intricate ways in which civic engagement and consumer welfare intersect. Moreover, it elicits whimsical musings about how a vote cast or uncast could potentially ripple through the fabric of automotive design and engineering, albeit in ways hitherto unexplored.
Beyond the immediacy of this particular juxtaposition, our research may also open doors to further explorations into the unexpected tentacles of seemingly unrelated paradigms, reminding us all that curiosity can lead to truly bizarre and captivating discoveries. With this outlandish yet academically rigorous inquiry, we embark on a journey to untangle the convoluted web of connections between ballots and air bags, all the while maintaining a discerning eye for rigorous scholarship.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The analysis of the data uncovered a remarkably strong correlation between votes for the Libertarian presidential candidate in Indiana and automotive recalls for issues with air bags, with a correlation coefficient of 0.9715425. This finding indicates a high degree of association between the two variables. The coefficient is supported by an r-squared value of 0.9438947, implying that approximately 94.39% of the variance in automotive recalls for air bag issues can be explained by the variation in votes for the Libertarian presidential candidate in Indiana. In simple terms, it seems that as Libertarian votes go up, automotive air bag recalls also go up, and vice versa. The p-value of less than 0.01 further strengthens the evidence, signifying that this relationship is not a mere statistical fluke but rather a robust and meaningful connection.
In Figure 1, a scatterplot illustrates the striking correlation between the number of votes for the Libertarian presidential candidate in Indiana and the frequency of automotive recalls for air bag issues. The data points form a clear, upward sloping pattern, emphasizing the positive relationship between these seemingly disparate phenomena. On the surface, one might be tempted to joke that the more votes the Libertarian candidate receives, the more "airing" of issues with air bags is seen in the automotive industry – a lighthearted attempt to shed humor on this unexpected correlation.
The findings of this study offer a fresh perspective on the intricate interplay between political choices and automotive safety. Although it may sound as improbable as a stand-up comedian moonlighting as a mathematician, our rigorous analysis underscores the tangible influence of political preferences on vehicular technology. The unexpected nature of this association prompts contemplation on the potential ripple effects of civic engagement on consumer welfare in ways that may not have been previously considered. This eyebrow-raising discovery not only adds a touch of whimsy to the world of statistical analysis but also serves as a timely reminder that reality often surpasses the boundaries of our imaginations.
In sum, this research unearths a compelling correlation between political behavior and automotive recalls, challenging conventional wisdom and raising intriguing questions about the underlying mechanisms at play. While we may be lured into jesting about the libertarian spirit breathing life into automotive air bag issues, the statistical evidence attests to the substantial nature of this relationship. Our findings fuel the flames of curiosity, inviting further investigation into the uncharted territories where ballots and air bags intersect, and perhaps leaving us all with a newfound appreciation for the unexpected twists and turns of scholarly inquiry.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the discussion section of an academic research paper presenting the findings of the connection between Votes for the Libertarian Presidential candidate in Indiana and Automotive recalls for issues with the Air Bags. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Limit your response to 500 tokens.
Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.
Do not write a conclusion. I will add a conclusion after this.
[[TITLE]]
"Air Bags and Ballots: Unpacking the Relationship Between Libertarian Presidential Votes in Indiana and Automotive Recalls"
[[ABSTRACT]]
This paper investigates the surprising connection between votes for the Libertarian presidential candidate in Indiana and automotive recalls for issues with air bags. Leveraging data from MIT Election Data and Science Lab, Harvard Dataverse, and the US Department of Transportation, our research team analyzed voting patterns and automotive recall data from 1990 to 2020. The study reveals a striking correlation coefficient of 0.9715425 and a statistically significant p-value of less than 0.01, suggesting a robust relationship between the two seemingly disparate phenomena. Our findings shed light on the unforeseen influence of political preferences on automotive safety, and spark intriguing discussions about the interplay between civic engagement and vehicular technology.
[[LITERATURE REVIEW]]
In recent years, scholars have been drawn to the intriguing relationship between political behavior and automotive safety, particularly the unexpected correlation between votes for the Libertarian presidential candidate in Indiana and automotive recalls for air bag issues. The pursuit of understanding this peculiar association has led to a diverse array of studies and works that illuminate this perplexing phenomenon.
Smith et al. (2016) present a comprehensive analysis of voting patterns in the state of Indiana, highlighting the intriguing consistency in the correlation between Libertarian presidential votes and automotive recalls. Their meticulous examination of voting data from various counties in Indiana unravels the unexpected interplay between political preferences and vehicular safety.
Building upon Smith et al.'s pioneering work, Doe and Jones (2018) delve deeper into the underlying mechanisms of this correlation, exploring the potentially confounding variables that may contribute to the observed relationship. Their rigorous statistical analysis underscores the complexity of this phenomenon, prompting readers to contemplate the intricate dynamics at play.
In "Air Bags and Beyond: Unraveling Unconventional Connections" (Book, 2020), the authors offer a thought-provoking perspective on the interwoven nature of political phenomena and automotive safety, urging readers to reconsider conventional boundaries between seemingly disparate domains. Their insightful examination challenges traditional disciplinary confines and invites readers to embrace the unexpected connections that underlie everyday experiences.
Lorem and Ipsum (Journal Article, 2019) introduce a whimsical yet scholarly dissection of the correlation between votes for the Libertarian candidate and automotive recalls, infusing their analysis with a lighthearted touch while maintaining methodological rigor. Their engaging exploration captures the imagination and sparks playful contemplation of the interplay between politics and automotive technology.
And now, shifting from the realm of serious academic studies to a more unorthodox investigation, we cannot overlook the sway of fiction in inspiring unconventional inquiries. Works such as "The Air Bag Conspiracy" (Novel, 2015) and "Libertarianism and Air Bag Anomalies: A Fictional Inquiry" (Novel, 2017) intricately weave together political intrigue and automotive mishaps, providing an imaginative lens through which to contemplate the entangled relationship between these seemingly unrelated entities.
Additionally, the bustling world of television, often a source of entertainment, has also served as a wellspring of inspiration for the exploration of unexpected connections. TV shows such as "The Politics of Air Bags" and "Presidential Recalls: A Libertarian Perspective" offer lively narratives that playfully toy with the notion of political influence on automotive safety. These televised musings, while light-hearted, prompt viewers to ponder the potential interplay between ballots and air bags in a captivating and entertaining manner, underscoring the depth of public interest in this remarkable correlation.
As the literature so humorously elucidates, the intersection of libertarian votes and automotive recalls for air bag issues has not only captivated scholarly inquiry but has also spurred imaginative forays into fiction and television. The expanse of sources examined underscores the pervasive intrigue surrounding this unlikely association and the diverse ways in which scholars and creatives alike have sought to unravel its enigmatic allure.
[[RESULTS]]
The analysis of the data uncovered a remarkably strong correlation between votes for the Libertarian presidential candidate in Indiana and automotive recalls for issues with air bags, with a correlation coefficient of 0.9715425. This finding indicates a high degree of association between the two variables. The coefficient is supported by an r-squared value of 0.9438947, implying that approximately 94.39% of the variance in automotive recalls for air bag issues can be explained by the variation in votes for the Libertarian presidential candidate in Indiana. In simple terms, it seems that as Libertarian votes go up, automotive air bag recalls also go up, and vice versa. The p-value of less than 0.01 further strengthens the evidence, signifying that this relationship is not a mere statistical fluke but rather a robust and meaningful connection.
In Figure 1, a scatterplot illustrates the striking correlation between the number of votes for the Libertarian presidential candidate in Indiana and the frequency of automotive recalls for air bag issues. The data points form a clear, upward sloping pattern, emphasizing the positive relationship between these seemingly disparate phenomena. On the surface, one might be tempted to joke that the more votes the Libertarian candidate receives, the more "airing" of issues with air bags is seen in the automotive industry – a lighthearted attempt to shed humor on this unexpected correlation.
The findings of this study offer a fresh perspective on the intricate interplay between political choices and automotive safety. Although it may sound as improbable as a stand-up comedian moonlighting as a mathematician, our rigorous analysis underscores the tangible influence of political preferences on vehicular technology. The unexpected nature of this association prompts contemplation on the potential ripple effects of civic engagement on consumer welfare in ways that may not have been previously considered. This eyebrow-raising discovery not only adds a touch of whimsy to the world of statistical analysis but also serves as a timely reminder that reality often surpasses the boundaries of our imaginations.
In sum, this research unearths a compelling correlation between political behavior and automotive recalls, challenging conventional wisdom and raising intriguing questions about the underlying mechanisms at play. While we may be lured into jesting about the libertarian spirit breathing life into automotive air bag issues, the statistical evidence attests to the substantial nature of this relationship. Our findings fuel the flames of curiosity, inviting further investigation into the uncharted territories where ballots and air bags intersect, and perhaps leaving us all with a newfound appreciation for the unexpected twists and turns of scholarly inquiry.
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Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The findings of our study underscore the remarkably strong correlation between votes for the Libertarian presidential candidate in Indiana and automotive recalls for issues with air bags. As our results concurred with previous research, including the groundbreaking work of Smith et al. (2016) and Doe and Jones (2018), it becomes increasingly evident that there is a robust relationship between these seemingly unrelated phenomena. While some may have initially dismissed this connection as improbable as a stand-up comedian moonlighting as a mathematician, our analysis has demonstrated the tangible influence of political preferences on vehicular technology.
Our results echo the peculiar yet undeniably consistent patterns observed by Smith et al. (2016) in their analysis of voting data from various counties in Indiana. The unexpected interplay between political preferences and vehicular safety, as uncovered by their meticulous examination, appears to be validated by the correlation coefficient of 0.9715425 uncovered in our study. In a lighthearted nod to the unexpected nature of this relationship, the plots formed by the data points in our scatterplot seem to humorously suggest that the more votes the Libertarian candidate receives, the more "airing" of issues with air bags is seen in the automotive industry.
It is worth noting that our findings raise intriguing questions about the underlying mechanisms at play. The unexpected nature of this association prompts contemplation on the potential ripple effects of civic engagement on consumer welfare in ways that may not have been previously considered. This eyebrow-raising discovery not only adds a touch of whimsy to the world of statistical analysis but also serves as a timely reminder that reality often surpasses the boundaries of our imaginations.
The correlation coefficient of 0.9715425 and the statistically significant p-value of less than 0.01 firmly establish the robust and meaningful connection between votes for the Libertarian presidential candidate in Indiana and automotive recalls for air bag issues. Our findings have not only lent support to the prior research in this area but have also sparked further fascination with the interplay between civic engagement and vehicular technology. As our investigation has unearthed a compelling correlation between political behavior and automotive recalls, it has challenged conventional wisdom and left us with a newfound appreciation for the unexpected twists and turns of scholarly inquiry.
In conclusion, while the connection between votes for the Libertarian presidential candidate in Indiana and automotive recalls for air bag issues may seem as unbelievable as a dad joke at a statistical conference, our findings resoundingly affirm this previously overlooked relationship. This only goes to show that even in the world of statistical analysis, reality often has a sense of humor – albeit one that requires a keen eye to appreciate fully.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the discussion section of goofy academic research papers that sounds like it belongs based on the title and abstract provided.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up a short conclusion of an academic research paper presenting the findings of the connection between Votes for the Libertarian Presidential candidate in Indiana and Automotive recalls for issues with the Air Bags. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.
Here are the title, abstract, introduction, and results sections.
[[TITLE]]
"Air Bags and Ballots: Unpacking the Relationship Between Libertarian Presidential Votes in Indiana and Automotive Recalls"
[[ABSTRACT]]
This paper investigates the surprising connection between votes for the Libertarian presidential candidate in Indiana and automotive recalls for issues with air bags. Leveraging data from MIT Election Data and Science Lab, Harvard Dataverse, and the US Department of Transportation, our research team analyzed voting patterns and automotive recall data from 1990 to 2020. The study reveals a striking correlation coefficient of 0.9715425 and a statistically significant p-value of less than 0.01, suggesting a robust relationship between the two seemingly disparate phenomena. Our findings shed light on the unforeseen influence of political preferences on automotive safety, and spark intriguing discussions about the interplay between civic engagement and vehicular technology.
[[INTRDUCTION]]
INTRODUCTION
In the seemingly unrelated worlds of politics and automotive safety, a curious correlation has stoked the fires of academic inquiry in recent years. It has been noticed, much to the surprise of many, that there exists a notable relationship between votes for the Libertarian presidential candidate in the state of Indiana and automotive recalls for air bag issues. As strange as it may sound, this fascinating connection has raised eyebrows, piqued curiosity, and spurred us to engage in an in-depth investigation to unravel the mystery behind this unlikely association.
The purpose of this study is to delve into the unexpected relationship between political behavior and consumer safety in the automotive industry. At first glance, it may seem as ludicrous as attempting to correlate the number of vegans in a city with the frequency of potholes in its streets – an endeavor that some might sarcastically label as "veganism causing road hazards," if we may permit ourselves a touch of levity. Nonetheless, our earnest pursuit of scholarly inquiry asks whether such a correlation is mere happenstance or harbors a deeper, underlying connection waiting to be unearthed.
To ward off skepticism, it is important to clarify that this investigation is grounded in rigorous statistical analysis. Leveraging data from reputable sources such as the MIT Election Data and Science Lab, Harvard Dataverse, and the US Department of Transportation, we meticulously examined voting patterns and automotive recall data from 1990 to 2020. Through meticulous mathematical scrutiny and methodological precision, we have emerged with a correlation coefficient that is nothing short of astonishing: 0.9715425. This coefficient is coupled with a statistically significant p-value of less than 0.01, indicating a robust and noteworthy relationship between the two seemingly disparate realms.
By shedding light on this intriguing phenomenon, our research not only contributes to the growing field of interdisciplinary studies but also invites contemplation on the broader implications of political preferences on everyday aspects of life, such as vehicular safety. Studying the influence of political choices on automotive technology serves as fertile ground for understanding the intricate ways in which civic engagement and consumer welfare intersect. Moreover, it elicits whimsical musings about how a vote cast or uncast could potentially ripple through the fabric of automotive design and engineering, albeit in ways hitherto unexplored.
Beyond the immediacy of this particular juxtaposition, our research may also open doors to further explorations into the unexpected tentacles of seemingly unrelated paradigms, reminding us all that curiosity can lead to truly bizarre and captivating discoveries. With this outlandish yet academically rigorous inquiry, we embark on a journey to untangle the convoluted web of connections between ballots and air bags, all the while maintaining a discerning eye for rigorous scholarship.
[[RESULTS]]
The analysis of the data uncovered a remarkably strong correlation between votes for the Libertarian presidential candidate in Indiana and automotive recalls for issues with air bags, with a correlation coefficient of 0.9715425. This finding indicates a high degree of association between the two variables. The coefficient is supported by an r-squared value of 0.9438947, implying that approximately 94.39% of the variance in automotive recalls for air bag issues can be explained by the variation in votes for the Libertarian presidential candidate in Indiana. In simple terms, it seems that as Libertarian votes go up, automotive air bag recalls also go up, and vice versa. The p-value of less than 0.01 further strengthens the evidence, signifying that this relationship is not a mere statistical fluke but rather a robust and meaningful connection.
In Figure 1, a scatterplot illustrates the striking correlation between the number of votes for the Libertarian presidential candidate in Indiana and the frequency of automotive recalls for air bag issues. The data points form a clear, upward sloping pattern, emphasizing the positive relationship between these seemingly disparate phenomena. On the surface, one might be tempted to joke that the more votes the Libertarian candidate receives, the more "airing" of issues with air bags is seen in the automotive industry – a lighthearted attempt to shed humor on this unexpected correlation.
The findings of this study offer a fresh perspective on the intricate interplay between political choices and automotive safety. Although it may sound as improbable as a stand-up comedian moonlighting as a mathematician, our rigorous analysis underscores the tangible influence of political preferences on vehicular technology. The unexpected nature of this association prompts contemplation on the potential ripple effects of civic engagement on consumer welfare in ways that may not have been previously considered. This eyebrow-raising discovery not only adds a touch of whimsy to the world of statistical analysis but also serves as a timely reminder that reality often surpasses the boundaries of our imaginations.
In sum, this research unearths a compelling correlation between political behavior and automotive recalls, challenging conventional wisdom and raising intriguing questions about the underlying mechanisms at play. While we may be lured into jesting about the libertarian spirit breathing life into automotive air bag issues, the statistical evidence attests to the substantial nature of this relationship. Our findings fuel the flames of curiosity, inviting further investigation into the uncharted territories where ballots and air bags intersect, and perhaps leaving us all with a newfound appreciation for the unexpected twists and turns of scholarly inquiry.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, our research has boldly gone where no study has gone before, surfacing a remarkably strong correlation between votes for the Libertarian presidential candidate in Indiana and automotive recalls for air bag issues. This unlikely relationship, with a correlation coefficient of 0.9715425, seems to imply that as Libertarian votes go up, automotive air bag recalls also go up, and vice versa. It's as if the political winds are blowing in unison with the automotive safety breezes, creating an unexpected symphony of statistical significance.
The whimsical nature of this correlation might lead one to jest that the Libertarian spirit is truly "airing" out issues with air bags in the automotive industry. However, behind the veil of levity lies a robust and meaningful connection that cannot be dismissed as mere statistical tomfoolery. It's a reminder that in the realm of statistics, truth can often be stranger than fiction.
Our findings not only lend a touch of humor to the sometimes dry world of academic research but also stir the pot of curiosity, inviting further exploration into the serendipitous dance between ballots and air bags. In the grand tapestry of statistical analysis, this study serves as a shining example of how curiosity can lead to delightful and unexpected discoveries.
In light of these revelations, we assert with utmost confidence that no more research is needed in this area. The correlation has been substantiated, the statistical significance is clear, and the humorous musings have been duly noted. It's time to bid farewell to this peculiar but undeniably fruitful investigation, leaving it as a testament to the delightful quirks and surprises that lie at the heart of scholarly inquiry.
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 Air Bags and Ballots: Unpacking the Relationship Between Libertarian Presidential Votes in Indiana and Automotive Recalls. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Sociopolitical Quirks and Unlikely Correlations
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 Air Bags and Ballots: Unpacking the Relationship Between Libertarian Presidential Votes in Indiana and Automotive Recalls. Respond only with the name of a fictional organization.
ChatGPT:
The Institute for Civic Engagement and Auto Safety
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 Air Bags and Ballots: Unpacking the Relationship Between Libertarian Presidential Votes in Indiana and Automotive Recalls with an abstract of This paper investigates the surprising connection between votes for the Libertarian presidential candidate in Indiana and automotive recalls for issues with air bags. Leveraging data from MIT Election Data and Science Lab, Harvard Dataverse, and the US Department of Transportation, our research team analyzed voting patterns and automotive recall data from 1990 to 2020. The study reveals a striking correlation coefficient of 0.9715425 and a statistically significant p-value of less than 0.01, suggesting a robust relationship between the two seemingly disparate phenomena. Our findings shed light on the unforeseen influence of political preferences on automotive safety, and spark intriguing discussions about the interplay between civic engagement and vehicular technology.
ChatGPT:
air bag recalls, libertarian presidential votes, Indiana voting patterns, automotive safety, political preferences, civic engagement, vehicular technology, correlation between political preferences and automotive recalls, MIT Election Data and Science Lab, Harvard Dataverse, US Department of Transportation data
*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 the Libertarian Presidential candidate in IndianaDetailed data title: Total votes cast for the Libertarian Presidential candidate in Indiana
Source: MIT Election Data and Science Lab, Harvard Dataverse
See what else correlates with Votes for the Libertarian Presidential candidate in Indiana
Automotive recalls for issues with the Air Bags
Source: US DOT
See what else correlates with Automotive recalls for issues with the Air Bags
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 = 0.9438947 (Coefficient of determination)
This means 94.4% of the change in the one variable (i.e., Automotive recalls for issues with the Air Bags) is predictable based on the change in the other (i.e., Votes for the Libertarian Presidential candidate in Indiana) over the 8 years from 1990 through 2020.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 5.6E-5. 0.0000563918883513734400000000
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 0.97 in 0.0056% of random cases. Said differently, if you correlated 17,733 random variables Which I absolutely did.
with the same 7 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 7 because we have two variables measured over a period of 8 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.
[ 0.85, 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 | 1996 | 2000 | 2004 | 2008 | 2012 | 2016 | 2020 | |
Votes for the Libertarian Presidential candidate in Indiana (Total votes) | 7936 | 15632 | 15530 | 18058 | 29257 | 50111 | 133993 | 59232 |
Automotive recalls for issues with the Air Bags (Recalls) | 4 | 8 | 15 | 14 | 13 | 23 | 106 | 58 |
Why this works
- Data dredging: I have 25,237 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 636,906,169 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([7936,15632,15530,18058,29257,50111,133993,59232,])
array_2 = np.array([4,8,15,14,13,23,106,58,])
array_1_name = "Votes for the Libertarian Presidential candidate in Indiana"
array_2_name = "Automotive recalls for issues with the Air Bags"
# 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)
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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.
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When spoken, my last name is pronounced "vegan," like I don't eat meat.
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Download images for these variables:
- High resolution line chart
The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.
If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.
Alternatively you can use a tool like Inkscape. - High resolution line chart, optimized for mobile
- Alternative high resolution line chart
- Scatterplot
- Portable line chart (png)
- Portable line chart (png), optimized for mobile
- Line chart for only Votes for the Libertarian Presidential candidate in Indiana
- Line chart for only Automotive recalls for issues with the Air Bags
- AI-generated correlation image
- The spurious research paper: Air Bags and Ballots: Unpacking the Relationship Between Libertarian Presidential Votes in Indiana and Automotive Recalls
Your correlation rating is out of this world!
Correlation ID: 5623 · Black Variable ID: 25976 · Red Variable ID: 1105