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AI explanation
As more people hopped on the Libertarian bandwagon in Indiana, it created a disturbance in the force, leading to a surge in demand for freedom even within the automotive industry. This freedom fever somehow triggered a chain reaction, causing air bag issues to come to light and forcing a recall revving up the competition in the car manufacturing world. It's as if the cars themselves wanted to exercise their right to a safe air bag system, leading to a recall rebellion of sorts.Model: dalle-3
Prompt: [A photo-realistic image] of a vibrant Indiana town is bustling with activity as voters line up outside a traditional polling station. The scene captures the energy and anticipation of the citizens as they eagerly cast their ballots for the Libertarian Presidential candidate. The composition showcases the gradual shift of focus from the polling station to the nearby automotive manufacturing plant. In the background, the factory is depicted with an artistic touch, hinting at a ripple effect spreading through the air. Within this scene, a sense of excitement and urgency is conveyed as the cars within the plant seem to awaken with a newfound sense of freedom, their air bags springing to life and demanding attention. The unexpected surge in demand for safe air bags triggers a recall rebellion, setting the stage for a fierce competition amongst car manufacturers to meet the cars' newfound insistence on safety. 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: Magic realism Pop art A photo-realistic image Celtic art Charcoal
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: As more people hopped on the Libertarian bandwagon in Indiana, it created a disturbance in the force, leading to a surge in demand for freedom even within the automotive industry. This freedom fever somehow triggered a chain reaction, causing air bag issues to come to light and forcing a recall revving up the competition in the car manufacturing world. It's as if the cars themselves wanted to exercise their right to a safe air bag system, leading to a recall rebellion of sorts.. Keep the description simple.
ChatGPT: In a bustling Indiana town, a stream of voters lines up outside a polling station, eagerly casting their ballots for the Libertarian Presidential candidate. As the excitement builds, a ripple effect spreads through the air, reaching the nearby automotive manufacturing plant. Suddenly, cars in the factory seem to awaken with a newfound sense of freedom, their air bags springing to life and demanding attention. This unexpected surge in demand for safe air bags triggers a recall rebellion, setting the stage for a fierce competition amongst car manufacturers to meet the cars' newfound insistence on safety.
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 a bustling Indiana town, a stream of voters lines up outside a polling station, eagerly casting their ballots for the Libertarian Presidential candidate. As the excitement builds, a ripple effect spreads through the air, reaching the nearby automotive manufacturing plant. Suddenly, cars in the factory seem to awaken with a newfound sense of freedom, their air bags springing to life and demanding attention. This unexpected surge in demand for safe air bags triggers a recall rebellion, setting the stage for a fierce competition amongst car manufacturers to meet the cars' newfound insistence on safety. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: [A photo-realistic image] of a vibrant Indiana town is bustling with activity as voters line up outside a traditional polling station. The scene captures the energy and anticipation of the citizens as they eagerly cast their ballots for the Libertarian Presidential candidate. The composition showcases the gradual shift of focus from the polling station to the nearby automotive manufacturing plant. In the background, the factory is depicted with an artistic touch, hinting at a ripple effect spreading through the air. Within this scene, a sense of excitement and urgency is conveyed as the cars within the plant seem to awaken with a newfound sense of freedom, their air bags springing to life and demanding attention. The unexpected surge in demand for safe air bags triggers a recall rebellion, setting the stage for a fierce competition amongst car manufacturers to meet the cars' newfound insistence on safety.
*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.
AI academic paper
Voting Libertarian: A Burst of Air Bag Recalls in the Hoosier State The Journal of Political Pranks and Paradoxes Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics 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. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Make the title seem 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 0.9607240 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]]
"Voting Libertarian: A Burst of Air Bag Recalls in the Hoosier State"
[[ABSTRACT]]
This paper investigates the intriguing relationship between votes for the Libertarian presidential candidate in Indiana and automotive recalls for issues with the airbags. Leveraging data from the MIT Election Data and Science Lab, Harvard Dataverse, and US DOT, we delve into this unlikely pairing to understand its depth and breadth. Our findings reveal a striking correlation coefficient of 0.9607240 and p < 0.01 for the period from 1990 to 2020, indicating a robust and statistically significant connection between these two seemingly disparate phenomena.
Our analysis uncovers a rather air-ritating pattern – an increase in votes for the Libertarian candidate is associated with a surge in automotive recalls related to airbag malfunctions in the Hoosier State. This unexpected correlation serves as a reminder that in the realm of politics and automotive safety, surprises can always be air-bundant.
Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics 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. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Here is the title and abstract of the paper:
[[TITLE]]
"Voting Libertarian: A Burst of Air Bag Recalls in the Hoosier State"
[[ABSTRACT]]
This paper investigates the intriguing relationship between votes for the Libertarian presidential candidate in Indiana and automotive recalls for issues with the airbags. Leveraging data from the MIT Election Data and Science Lab, Harvard Dataverse, and US DOT, we delve into this unlikely pairing to understand its depth and breadth. Our findings reveal a striking correlation coefficient of 0.9607240 and p < 0.01 for the period from 1990 to 2020, indicating a robust and statistically significant connection between these two seemingly disparate phenomena.
Our analysis uncovers a rather air-ritating pattern – an increase in votes for the Libertarian candidate is associated with a surge in automotive recalls related to airbag malfunctions in the Hoosier State. This unexpected correlation serves as a reminder that in the realm of politics and automotive safety, surprises can always be air-bundant.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
The intersection of politics and automotive safety has always been a topic of interest, and as researchers, we are constantly on the lookout for unexpected connections that leave us air-mused. In this paper, we investigate the correlation between votes for the Libertarian presidential candidate in Indiana and automotive recalls for airbag issues, aiming to shed light on this unexplored nexus. It's a timely study, as we attempt to air-bag the answers to questions that have long been left deflating.
The relationship between political choices and automotive safety may seem far-fetched at first glance, but as our analysis revealed, the bond between them is as tangible as nitrogen in car tires. It's an air-raising discovery that reminds us of the old adage: "Where there's a wheel, there's a way."
Delving into the statistical realm, we unearthed an unexpected correlation that's more than just hot air – a remarkable correlation coefficient of 0.9607240 and p < 0.01 for the period from 1990 to 2020. This finding suggests that the connection between votes for the Libertarian candidate and airbag recalls in Indiana is not merely happenstance, but rather a substantial and statistically significant relationship that has been floating under the radar for quite some time.
As we embark on this scholarly journey, we're well aware of the potential skepticism that may accompany such unexpected findings. However, as the saying goes, "the air of skepticism only serves to fill the sails of further inquiry." So, let's buckle up, and air-bag the doubts, as we delve into the depths of this intriguing association with a keen eye and a cautious sense of humor.
Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics 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. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.
Make up the lorem and ipsum part, but make it sound related to the topic at hand.
Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then 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]]
"Voting Libertarian: A Burst of Air Bag Recalls in the Hoosier State"
[[ABSTRACT]]
This paper investigates the intriguing relationship between votes for the Libertarian presidential candidate in Indiana and automotive recalls for issues with the airbags. Leveraging data from the MIT Election Data and Science Lab, Harvard Dataverse, and US DOT, we delve into this unlikely pairing to understand its depth and breadth. Our findings reveal a striking correlation coefficient of 0.9607240 and p < 0.01 for the period from 1990 to 2020, indicating a robust and statistically significant connection between these two seemingly disparate phenomena.
Our analysis uncovers a rather air-ritating pattern – an increase in votes for the Libertarian candidate is associated with a surge in automotive recalls related to airbag malfunctions in the Hoosier State. This unexpected correlation serves as a reminder that in the realm of politics and automotive safety, surprises can always be air-bundant.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The intersection of politics and automotive safety has always been a topic of interest, and as researchers, we are constantly on the lookout for unexpected connections that leave us air-mused. In this paper, we investigate the correlation between votes for the Libertarian presidential candidate in Indiana and automotive recalls for airbag issues, aiming to shed light on this unexplored nexus. It's a timely study, as we attempt to air-bag the answers to questions that have long been left deflating.
The relationship between political choices and automotive safety may seem far-fetched at first glance, but as our analysis revealed, the bond between them is as tangible as nitrogen in car tires. It's an air-raising discovery that reminds us of the old adage: "Where there's a wheel, there's a way."
Delving into the statistical realm, we unearthed an unexpected correlation that's more than just hot air – a remarkable correlation coefficient of 0.9607240 and p < 0.01 for the period from 1990 to 2020. This finding suggests that the connection between votes for the Libertarian candidate and airbag recalls in Indiana is not merely happenstance, but rather a substantial and statistically significant relationship that has been floating under the radar for quite some time.
As we embark on this scholarly journey, we're well aware of the potential skepticism that may accompany such unexpected findings. However, as the saying goes, "the air of skepticism only serves to fill the sails of further inquiry." So, let's buckle up, and air-bag the doubts, as we delve into the depths of this intriguing association with a keen eye and a cautious sense of humor.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
The relationship between political behavior and automotive safety has garnered substantial attention in recent scholarship. Smith et al. (2018) observe a statistically significant association between votes for third-party candidates, such as the Libertarian Party, and patterns of automotive recalls in their seminal work "Political Choices and Vehicular Volatility." The authors find that an increase in third-party votes is linked to a higher frequency of automotive recalls, reflecting a noteworthy correlation that deflates the conventional wisdom of political science.
Adding to the discourse, Doe and Jones (2016) delve into the realm of automotive safety in their comprehensive study "Airbags: A Tale of Inflation and Deflation." Their analysis underscores the importance of understanding political preferences, as they uncover a surprising link between votes for non-mainstream candidates and the occurrence of airbag issues. The authors posit that beneath the surface of political allegiances lies a palpable connection to automotive safety crises, leaving readers with an air of curiosity and intrigue.
In "The Airbag Chronicles" by Lorem (2020), the author takes a more narrative approach to exploring the enigmatic ties between political voting patterns and automotive recalls. Through anecdotal evidence and personal accounts, Lorem weaves a captivating tale of how individual political choices can inflate or deflate the likelihood of airbag malfunctions. This work offers a refreshing perspective, reminding scholars that even in academic pursuits, storytelling can be as buoyant as helium.
Turning to fictional literature, "Airbags and Allegiances" by Ipsum (2015) presents a speculative take on the interplay between political ideologies and automotive safety mishaps. Set in a dystopian universe, the novel unravels a world where voting preferences directly impact the reliability of airbag systems in vehicles. While purely fictitious, Ipsum's work serves as a whimsical reminder of the intricate and often unforeseen connections that permeate our political and automotive landscapes.
As scholarly investigations intersect with popular culture, an unexpected source of insight emerges from children's cartoons and animated series. A careful examination of "The Adventures of Airbag Man" and "The Political Potency of Pancakes" reveals subtle analogies and allegories that parallel the dynamic relationship between political choices and automotive safety. While these sources may initially appear lighthearted, their underlying messages carry a weighty relevance to the interdisciplinary exploration at hand.
In light of these varied perspectives, it is evident that the nexus between votes for the Libertarian presidential candidate in Indiana and automotive recalls for airbag issues merits further scholarly attention. While the connection may at first seem like a deflating finding, our investigation aims to air out the complexities and unravel the layers of this intriguing correlation with a sense of scholarly levity.
Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics 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. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
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]]
"Voting Libertarian: A Burst of Air Bag Recalls in the Hoosier State"
[[ABSTRACT]]
This paper investigates the intriguing relationship between votes for the Libertarian presidential candidate in Indiana and automotive recalls for issues with the airbags. Leveraging data from the MIT Election Data and Science Lab, Harvard Dataverse, and US DOT, we delve into this unlikely pairing to understand its depth and breadth. Our findings reveal a striking correlation coefficient of 0.9607240 and p < 0.01 for the period from 1990 to 2020, indicating a robust and statistically significant connection between these two seemingly disparate phenomena.
Our analysis uncovers a rather air-ritating pattern – an increase in votes for the Libertarian candidate is associated with a surge in automotive recalls related to airbag malfunctions in the Hoosier State. This unexpected correlation serves as a reminder that in the realm of politics and automotive safety, surprises can always be air-bundant.
[[INTRODUCTION]]
The intersection of politics and automotive safety has always been a topic of interest, and as researchers, we are constantly on the lookout for unexpected connections that leave us air-mused. In this paper, we investigate the correlation between votes for the Libertarian presidential candidate in Indiana and automotive recalls for airbag issues, aiming to shed light on this unexplored nexus. It's a timely study, as we attempt to air-bag the answers to questions that have long been left deflating.
The relationship between political choices and automotive safety may seem far-fetched at first glance, but as our analysis revealed, the bond between them is as tangible as nitrogen in car tires. It's an air-raising discovery that reminds us of the old adage: "Where there's a wheel, there's a way."
Delving into the statistical realm, we unearthed an unexpected correlation that's more than just hot air – a remarkable correlation coefficient of 0.9607240 and p < 0.01 for the period from 1990 to 2020. This finding suggests that the connection between votes for the Libertarian candidate and airbag recalls in Indiana is not merely happenstance, but rather a substantial and statistically significant relationship that has been floating under the radar for quite some time.
As we embark on this scholarly journey, we're well aware of the potential skepticism that may accompany such unexpected findings. However, as the saying goes, "the air of skepticism only serves to fill the sails of further inquiry." So, let's buckle up, and air-bag the doubts, as we delve into the depths of this intriguing association with a keen eye and a cautious sense of humor.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To investigate the intriguing correlation between votes for the Libertarian presidential candidate in Indiana and automotive recalls for issues with airbags, a series of methodological approaches were employed. The data utilized in this study were gathered from various sources, including the MIT Election Data and Science Lab, Harvard Dataverse, and US DOT, covering the extensive period from 1990 to 2020.
To address the research question, our team employed a rather "air-regular" approach to data analysis. First, automotive recall data pertaining to airbag issues in Indiana were meticulously compiled, taking note of the make, model, and year of the affected vehicles. This involved combing through a myriad of auto manufacturer databases and recall announcements, forming the foundational basis for our investigation.
In parallel, data on votes for the Libertarian presidential candidate in Indiana were amassed from official election records and voter registries. This process involved sifting through election data with the precision of a mechanic checking air pressure, ensuring that the integrity and accuracy of the electoral information remained intact.
Once the data collection phase was complete, a rather air-dacious methodological tool, known as the Pearson correlation coefficient, was employed to examine the relationship between the two variables. This statistical maneuver allowed us to gauge the strength and direction of the association between Libertarian votes and airbag-related recalls with a keen eye for detail. The calculations were performed with the exactitude of a safety inspector examining a faulty airbag deployment system, leaving no statistical stone unturned.
In addition to the correlation coefficient, a rather out-of-the-[tire]-box regression analysis was conducted to further explore the predictive power of Libertarian votes on the occurrences of automotive recalls related to airbag malfunctions. This approach aimed to unpack the complex interplay of sociopolitical factors on automotive safety issues, showcasing the multi-faceted nature of the relationship under investigation.
Throughout the analysis, every effort was made to address potential confounders and external influences, ensuring that the findings remained as "air-tight" as possible. Sensitivity analyses were also performed to test the robustness of the results, akin to stress-testing a newly designed airbag system for vehicular safety.
In summary, the methodology employed in this study sought to navigate the "winding road" of statistical analysis, culminating in a comprehensive exploration of the curious connection between voting behavior and automotive safety. With a methodological toolkit as diverse as a selection of airbag inflators, the research team endeavored to unravel this unlikely correlation with a blend of precision and, dare I say, air-rogant enthusiasm.
Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics 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. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
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 0.9607240, r-squared of 0.9229906, 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]]
"Voting Libertarian: A Burst of Air Bag Recalls in the Hoosier State"
[[ABSTRACT]]
This paper investigates the intriguing relationship between votes for the Libertarian presidential candidate in Indiana and automotive recalls for issues with the airbags. Leveraging data from the MIT Election Data and Science Lab, Harvard Dataverse, and US DOT, we delve into this unlikely pairing to understand its depth and breadth. Our findings reveal a striking correlation coefficient of 0.9607240 and p < 0.01 for the period from 1990 to 2020, indicating a robust and statistically significant connection between these two seemingly disparate phenomena.
Our analysis uncovers a rather air-ritating pattern – an increase in votes for the Libertarian candidate is associated with a surge in automotive recalls related to airbag malfunctions in the Hoosier State. This unexpected correlation serves as a reminder that in the realm of politics and automotive safety, surprises can always be air-bundant.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
The intersection of politics and automotive safety has always been a topic of interest, and as researchers, we are constantly on the lookout for unexpected connections that leave us air-mused. In this paper, we investigate the correlation between votes for the Libertarian presidential candidate in Indiana and automotive recalls for airbag issues, aiming to shed light on this unexplored nexus. It's a timely study, as we attempt to air-bag the answers to questions that have long been left deflating.
The relationship between political choices and automotive safety may seem far-fetched at first glance, but as our analysis revealed, the bond between them is as tangible as nitrogen in car tires. It's an air-raising discovery that reminds us of the old adage: "Where there's a wheel, there's a way."
Delving into the statistical realm, we unearthed an unexpected correlation that's more than just hot air – a remarkable correlation coefficient of 0.9607240 and p < 0.01 for the period from 1990 to 2020. This finding suggests that the connection between votes for the Libertarian candidate and airbag recalls in Indiana is not merely happenstance, but rather a substantial and statistically significant relationship that has been floating under the radar for quite some time.
As we embark on this scholarly journey, we're well aware of the potential skepticism that may accompany such unexpected findings. However, as the saying goes, "the air of skepticism only serves to fill the sails of further inquiry." So, let's buckle up, and air-bag the doubts, as we delve into the depths of this intriguing association with a keen eye and a cautious sense of humor.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The results of our investigation reveal a notable correlation between votes for the Libertarian presidential candidate in Indiana and automotive recalls for issues with airbags. The correlation coefficient of 0.9607240 and the r-squared value of 0.9229906 indicate a strong and positive relationship between these seemingly unrelated variables. This robust and statistically significant association suggests that there may be more to this connection than meets the eye. It seems that when it comes to political preferences and automotive safety, the airbag recalls in Indiana have not been mere happenstance, but rather a balloon-upon correlation.
In Fig. 1, the scatterplot showcases the undeniable correlation between votes for the Libertarian candidate and automotive recalls for airbag issues. The data points form a pattern as clear as the air in a freshly deployed airbag, affirming the strength of this unexpected relationship.
The airbag recalls in Indiana appear to have been quite the air-responsible partner to the Libertarian votes in the state. This unexpected association invites a new maxim: "In Indiana, where there's a vote for the Libertarian party, there's an air-bagging recall waiting to deploy its statistical significance."
The statistical evidence supports the notion that in the context of Indiana, political inclinations and automotive safety have been air-mingling in ways that were previously uncharted. This correlation serves as a poignant reminder that in the vast expanse of data analysis, even the most unsuspecting variables can converge in unexpected ways. It's as if the data itself is telling us, "No matter how much you try to air-ase the situation, the correlations will always rise to the surface."
The strength of the correlation prompts us to acknowledge that even in the most unlikely pairings, such as votes for the Libertarian party and automotive recalls in Indiana, there may be a more substantial story waiting to be uncovered. This surprising connection urges us to approach the complexities of political and automotive phenomena with an open mind and an air of curiosity.
The unexpected nature of this relationship between political choices and automotive safety in Indiana leaves us with a newfound appreciation for the myriad ways in which data can interplay. This discovery acts as a testament to the adage: "When it comes to data analysis, the discoveries are as varied and air-ful as the contents of a surprise package."
Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics 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. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
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]]
"Voting Libertarian: A Burst of Air Bag Recalls in the Hoosier State"
[[ABSTRACT]]
This paper investigates the intriguing relationship between votes for the Libertarian presidential candidate in Indiana and automotive recalls for issues with the airbags. Leveraging data from the MIT Election Data and Science Lab, Harvard Dataverse, and US DOT, we delve into this unlikely pairing to understand its depth and breadth. Our findings reveal a striking correlation coefficient of 0.9607240 and p < 0.01 for the period from 1990 to 2020, indicating a robust and statistically significant connection between these two seemingly disparate phenomena.
Our analysis uncovers a rather air-ritating pattern – an increase in votes for the Libertarian candidate is associated with a surge in automotive recalls related to airbag malfunctions in the Hoosier State. This unexpected correlation serves as a reminder that in the realm of politics and automotive safety, surprises can always be air-bundant.
[[LITERATURE REVIEW]]
The relationship between political behavior and automotive safety has garnered substantial attention in recent scholarship. Smith et al. (2018) observe a statistically significant association between votes for third-party candidates, such as the Libertarian Party, and patterns of automotive recalls in their seminal work "Political Choices and Vehicular Volatility." The authors find that an increase in third-party votes is linked to a higher frequency of automotive recalls, reflecting a noteworthy correlation that deflates the conventional wisdom of political science.
Adding to the discourse, Doe and Jones (2016) delve into the realm of automotive safety in their comprehensive study "Airbags: A Tale of Inflation and Deflation." Their analysis underscores the importance of understanding political preferences, as they uncover a surprising link between votes for non-mainstream candidates and the occurrence of airbag issues. The authors posit that beneath the surface of political allegiances lies a palpable connection to automotive safety crises, leaving readers with an air of curiosity and intrigue.
In "The Airbag Chronicles" by Lorem (2020), the author takes a more narrative approach to exploring the enigmatic ties between political voting patterns and automotive recalls. Through anecdotal evidence and personal accounts, Lorem weaves a captivating tale of how individual political choices can inflate or deflate the likelihood of airbag malfunctions. This work offers a refreshing perspective, reminding scholars that even in academic pursuits, storytelling can be as buoyant as helium.
Turning to fictional literature, "Airbags and Allegiances" by Ipsum (2015) presents a speculative take on the interplay between political ideologies and automotive safety mishaps. Set in a dystopian universe, the novel unravels a world where voting preferences directly impact the reliability of airbag systems in vehicles. While purely fictitious, Ipsum's work serves as a whimsical reminder of the intricate and often unforeseen connections that permeate our political and automotive landscapes.
As scholarly investigations intersect with popular culture, an unexpected source of insight emerges from children's cartoons and animated series. A careful examination of "The Adventures of Airbag Man" and "The Political Potency of Pancakes" reveals subtle analogies and allegories that parallel the dynamic relationship between political choices and automotive safety. While these sources may initially appear lighthearted, their underlying messages carry a weighty relevance to the interdisciplinary exploration at hand.
In light of these varied perspectives, it is evident that the nexus between votes for the Libertarian presidential candidate in Indiana and automotive recalls for airbag issues merits further scholarly attention. While the connection may at first seem like a deflating finding, our investigation aims to air out the complexities and unravel the layers of this intriguing correlation with a sense of scholarly levity.
[[RESULTS]]
The results of our investigation reveal a notable correlation between votes for the Libertarian presidential candidate in Indiana and automotive recalls for issues with airbags. The correlation coefficient of 0.9607240 and the r-squared value of 0.9229906 indicate a strong and positive relationship between these seemingly unrelated variables. This robust and statistically significant association suggests that there may be more to this connection than meets the eye. It seems that when it comes to political preferences and automotive safety, the airbag recalls in Indiana have not been mere happenstance, but rather a balloon-upon correlation.
In Fig. 1, the scatterplot showcases the undeniable correlation between votes for the Libertarian candidate and automotive recalls for airbag issues. The data points form a pattern as clear as the air in a freshly deployed airbag, affirming the strength of this unexpected relationship.
The airbag recalls in Indiana appear to have been quite the air-responsible partner to the Libertarian votes in the state. This unexpected association invites a new maxim: "In Indiana, where there's a vote for the Libertarian party, there's an air-bagging recall waiting to deploy its statistical significance."
The statistical evidence supports the notion that in the context of Indiana, political inclinations and automotive safety have been air-mingling in ways that were previously uncharted. This correlation serves as a poignant reminder that in the vast expanse of data analysis, even the most unsuspecting variables can converge in unexpected ways. It's as if the data itself is telling us, "No matter how much you try to air-ase the situation, the correlations will always rise to the surface."
The strength of the correlation prompts us to acknowledge that even in the most unlikely pairings, such as votes for the Libertarian party and automotive recalls in Indiana, there may be a more substantial story waiting to be uncovered. This surprising connection urges us to approach the complexities of political and automotive phenomena with an open mind and an air of curiosity.
The unexpected nature of this relationship between political choices and automotive safety in Indiana leaves us with a newfound appreciation for the myriad ways in which data can interplay. This discovery acts as a testament to the adage: "When it comes to data analysis, the discoveries are as varied and air-ful as the contents of a surprise package."
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The findings of our study substantiate those of previous research, confirming a strong and robust correlation between votes for the Libertarian presidential candidate in Indiana and automotive recalls for issues with airbags. This connection, with a correlation coefficient of 0.9607240, aligns with the work of Smith et al. (2018) and Doe and Jones (2016), who revealed a similar link between third-party votes and automotive recalls. Our results add a burst of air to this line of inquiry, amplifying the significance of these seemingly disconnected variables.
While the interconnectedness of political choices and automotive safety may initially seem to veer into the realm of absurdity, our study underscores the air-elevance of this association. As Louis C.K. once quipped, “It's a small world, but I wouldn't want to have to air the whole thing out.” Similarly, the intricate web of correlations we have unveiled reminds us that unexpected connections can subtly inflate, much like an airbag deploying during an unexpected collision.
The literary works we referenced in our literature review, particularly Lorem (2020) and Ipsum (2015), provide playful insights into the unexpected ways political behavior may intersect with automotive safety. Our findings lend empirical support to the outlandish scenarios sketched by these authors, demonstrating that reality can indeed be as whimsical as fiction. As the old adage goes, “Sometimes truth is stranger than air-tion.”
Furthermore, our results align with the poignant analyses of children's cartoons and animated series, reflecting the prescient analogies and allegories embedded within these seemingly lighthearted depictions. Just as the adventures of Airbag Man and the political potency of pancakes may have seemed frivolous at first glance, our research underscores the substantive parallels between these seemingly incongruous realms. After all, as the saying goes, “In every child's favorite cartoon, there’s a kernel of truth air-respective of its lighthearted guise.”
In conclusion, our study not only reinforces the unexpected correlation between votes for the Libertarian candidate in Indiana and automotive recalls for airbag issues but also amplifies its significance. These findings serve as an air-reminding testament to the surprising intertwining of political choices and automotive safety. As we continue to navigate the realm of interdisciplinary inquiry, may we remain open to the air-ritatingly prodigious and enlightening connections that await our scholarly exploration.
Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics 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. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
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]]
"Voting Libertarian: A Burst of Air Bag Recalls in the Hoosier State"
[[ABSTRACT]]
This paper investigates the intriguing relationship between votes for the Libertarian presidential candidate in Indiana and automotive recalls for issues with the airbags. Leveraging data from the MIT Election Data and Science Lab, Harvard Dataverse, and US DOT, we delve into this unlikely pairing to understand its depth and breadth. Our findings reveal a striking correlation coefficient of 0.9607240 and p < 0.01 for the period from 1990 to 2020, indicating a robust and statistically significant connection between these two seemingly disparate phenomena.
Our analysis uncovers a rather air-ritating pattern – an increase in votes for the Libertarian candidate is associated with a surge in automotive recalls related to airbag malfunctions in the Hoosier State. This unexpected correlation serves as a reminder that in the realm of politics and automotive safety, surprises can always be air-bundant.
[[INTRDUCTION]]
The intersection of politics and automotive safety has always been a topic of interest, and as researchers, we are constantly on the lookout for unexpected connections that leave us air-mused. In this paper, we investigate the correlation between votes for the Libertarian presidential candidate in Indiana and automotive recalls for airbag issues, aiming to shed light on this unexplored nexus. It's a timely study, as we attempt to air-bag the answers to questions that have long been left deflating.
The relationship between political choices and automotive safety may seem far-fetched at first glance, but as our analysis revealed, the bond between them is as tangible as nitrogen in car tires. It's an air-raising discovery that reminds us of the old adage: "Where there's a wheel, there's a way."
Delving into the statistical realm, we unearthed an unexpected correlation that's more than just hot air – a remarkable correlation coefficient of 0.9607240 and p < 0.01 for the period from 1990 to 2020. This finding suggests that the connection between votes for the Libertarian candidate and airbag recalls in Indiana is not merely happenstance, but rather a substantial and statistically significant relationship that has been floating under the radar for quite some time.
As we embark on this scholarly journey, we're well aware of the potential skepticism that may accompany such unexpected findings. However, as the saying goes, "the air of skepticism only serves to fill the sails of further inquiry." So, let's buckle up, and air-bag the doubts, as we delve into the depths of this intriguing association with a keen eye and a cautious sense of humor.
[[RESULTS]]
The results of our investigation reveal a notable correlation between votes for the Libertarian presidential candidate in Indiana and automotive recalls for issues with airbags. The correlation coefficient of 0.9607240 and the r-squared value of 0.9229906 indicate a strong and positive relationship between these seemingly unrelated variables. This robust and statistically significant association suggests that there may be more to this connection than meets the eye. It seems that when it comes to political preferences and automotive safety, the airbag recalls in Indiana have not been mere happenstance, but rather a balloon-upon correlation.
In Fig. 1, the scatterplot showcases the undeniable correlation between votes for the Libertarian candidate and automotive recalls for airbag issues. The data points form a pattern as clear as the air in a freshly deployed airbag, affirming the strength of this unexpected relationship.
The airbag recalls in Indiana appear to have been quite the air-responsible partner to the Libertarian votes in the state. This unexpected association invites a new maxim: "In Indiana, where there's a vote for the Libertarian party, there's an air-bagging recall waiting to deploy its statistical significance."
The statistical evidence supports the notion that in the context of Indiana, political inclinations and automotive safety have been air-mingling in ways that were previously uncharted. This correlation serves as a poignant reminder that in the vast expanse of data analysis, even the most unsuspecting variables can converge in unexpected ways. It's as if the data itself is telling us, "No matter how much you try to air-ase the situation, the correlations will always rise to the surface."
The strength of the correlation prompts us to acknowledge that even in the most unlikely pairings, such as votes for the Libertarian party and automotive recalls in Indiana, there may be a more substantial story waiting to be uncovered. This surprising connection urges us to approach the complexities of political and automotive phenomena with an open mind and an air of curiosity.
The unexpected nature of this relationship between political choices and automotive safety in Indiana leaves us with a newfound appreciation for the myriad ways in which data can interplay. This discovery acts as a testament to the adage: "When it comes to data analysis, the discoveries are as varied and air-ful as the contents of a surprise package."
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, our investigation has brought to light the remarkable correlation between votes for the Libertarian presidential candidate in Indiana and automotive recalls for issues with airbags. The strength of this connection, with a correlation coefficient of 0.9607240 and p < 0.01, suggests a deeper relationship between these seemingly disparate variables. This unexpected finding emphasizes the importance of exploring uncharted territories in data analysis, for it's in these air-reas that hidden patterns may emerge.
As we wrap up this study, it's only fitting to leave you with a dad joke that's as "air"resistible as our findings: Why don't scientists trust atoms? Because they make up everything! Much like the atoms that make up the universe, this correlation makes up everything we've air-splored in this analysis.
With the compelling evidence at hand, it is clear that no more research is needed in this area. The air-irrefutable connection between votes for the Libertarian candidate and airbag recalls in Indiana has been thoroughly established. It's time to let this correlation deflate into the annals of statistical curiosities, where it will linger like the air inside an untamed balloon. So, let's bid adieu to this air-nest scholarly pursuit, with the understanding that in the world of data analysis, the unexpected can always air-rise.
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 Voting Libertarian: A Burst of Air Bag Recalls in the Hoosier State. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Political Pranks and Paradoxes
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 Voting Libertarian: A Burst of Air Bag Recalls in the Hoosier State. Respond only with the name of a fictional organization.
ChatGPT:
The Institute for Quirky Political Studies
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 Voting Libertarian: A Burst of Air Bag Recalls in the Hoosier State with an abstract of This paper investigates the intriguing relationship between votes for the Libertarian presidential candidate in Indiana and automotive recalls for issues with the airbags. Leveraging data from the MIT Election Data and Science Lab, Harvard Dataverse, and US DOT, we delve into this unlikely pairing to understand its depth and breadth. Our findings reveal a striking correlation coefficient of 0.9607240 and p < 0.01 for the period from 1990 to 2020, indicating a robust and statistically significant connection between these two seemingly disparate phenomena.
Our analysis uncovers a rather air-ritating pattern – an increase in votes for the Libertarian candidate is associated with a surge in automotive recalls related to airbag malfunctions in the Hoosier State. This unexpected correlation serves as a reminder that in the realm of politics and automotive safety, surprises can always be air-bundant.
ChatGPT:
Libertarian candidate, Indiana, automotive recalls, airbag issues, correlation coefficient, MIT Election Data and Science Lab, Harvard Dataverse, US DOT, political voting patterns
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
Discover a new correlation
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Data details
Votes for the Libertarian Presidential candidate in IndianaDetailed data title: Percentage of all 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 = 0.9229906 (Coefficient of determination)
This means 92.3% 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 0.00015. 0.0001470413062972984700000000
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 0.96 in 0.015% of random cases. Said differently, if you correlated 6,801 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.
[ 0.79, 0.99 ] 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 (Percentage of votes) | 0.344165 | 0.73203 | 0.706133 | 0.731685 | 1.06348 | 1.90933 | 4.89927 | 1.95284 |
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([0.344165,0.73203,0.706133,0.731685,1.06348,1.90933,4.89927,1.95284,])
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)
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.
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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: Voting Libertarian: A Burst of Air Bag Recalls in the Hoosier State
Kudos for rating!
Correlation ID: 5775 · Black Variable ID: 26092 · Red Variable ID: 1105