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Spurious correlation #5,760 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Votes for the Democratic Presidential candidate in Georgia and the second variable is Age of Miss Teen USA.  The chart goes from 1983 to 2020, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

As more people supported the Democrat candidate in Georgia, the collective increase in positive energy and youthful exuberance somehow created a ripple effect leading to a delay in the aging process, including a sudden boost in the age of Miss Teen USA. It's as if the political preference directly influenced the space-time continuum, causing a temporary shift towards a more mature and experienced Miss Teen USA. It's like a political fairy godmother waved her democratic wand and granted the gift of age advancement to the bewilderment of pageant organizers everywhere! After all, who knew that political votes could have such age-defying powers, turning Miss Teen USA into Miss... Slightly Older USA?

Model: dalle-3
Prompt: Generate an image showing the Time magazine cover format. In the foreground, depict Miss Teen USA in a vibrant Georgia setting, exuding both youthful exuberance and a mature aura. Capture the palpable wave of positive energy as Democratic votes surge, enveloping the state in a moment of uplift. The age of Miss Teen USA visibly shifts, conveying a sense of age advancement and the passage of time in a single striking image. 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 Democratic Presidential candidate in Georgia and Age of Miss Teen USA. 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: An image that looks like it is a scene from A Disney Movie A TIME magazine cover image Whimsical illustration Magic realism Parallax art
ChatGPT: A TIME magazine cover 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 Democratic Presidential candidate in Georgia and Age of Miss Teen USA, in the following situation: As more people supported the Democrat candidate in Georgia, the collective increase in positive energy and youthful exuberance somehow created a ripple effect leading to a delay in the aging process, including a sudden boost in the age of Miss Teen USA. It's as if the political preference directly influenced the space-time continuum, causing a temporary shift towards a more mature and experienced Miss Teen USA. It's like a political fairy godmother waved her democratic wand and granted the gift of age advancement to the bewilderment of pageant organizers everywhere! After all, who knew that political votes could have such age-defying powers, turning Miss Teen USA into Miss... Slightly Older USA?. Keep the description simple.
ChatGPT: In a vibrant scene in Georgia, as the Votes for the Democratic Presidential candidate surged, a palpable wave of positive energy enveloped the state. Amidst this uplifting atmosphere, the age of Miss Teen USA visibly shifted, her youthful exuberance taking on a more mature and experienced aura. It was as if time itself had momentarily paused, granting the seemingly impossible gift of age advancement.

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 TIME magazine cover image ] and depicting this scene: In a vibrant scene in Georgia, as the Votes for the Democratic Presidential candidate surged, a palpable wave of positive energy enveloped the state. Amidst this uplifting atmosphere, the age of Miss Teen USA visibly shifted, her youthful exuberance taking on a more mature and experienced aura. It was as if time itself had momentarily paused, granting the seemingly impossible gift of age advancement. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image showing the Time magazine cover format. In the foreground, depict Miss Teen USA in a vibrant Georgia setting, exuding both youthful exuberance and a mature aura. Capture the palpable wave of positive energy as Democratic votes surge, enveloping the state in a moment of uplift. The age of Miss Teen USA visibly shifts, conveying a sense of age advancement and the passage of time in a single striking image.

*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.

Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in Votes for the Democrat Presidential candidate in Georgia caused Age of Miss Teen USA to increase. Make it feel plausible.

AI academic paper

(Because p < 0.01)
Age Before Party: A Political-Pageant Paradox in Georgia

The Journal of Political Paradoxes

Jan 2024

Reminder: This paper is AI-generated. Not real!
Quick note: This sequence is long and repetitive. That's how the prompt engineering works for this one. I manage the output in Python to format it into this PDF.




Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You write titles and abstracts of goofy academic research papers.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, and add unexpected twists in your writing.

Please draft the title and abstract of an academic research paper presenting the findings of the connection between Votes for the Democrat Presidential candidate in Georgia and Age of Miss Teen USA. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Make the title a clever pun.

Your research team used data from MIT Election Data and Science Lab, Harvard Dataverse and Wikipedia to assess this nagging question. You found a correlation coefficient of 0.8196955 and p < 0.01 for 1983 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]]
"Age Before Party: A Political-Pageant Paradox in Georgia"

[[ABSTRACT]]
The intersection of politics and pageantry has long piqued the curiosity of researchers, yet the entangled relationship between the age of Miss Teen USA contestants and voting patterns in Georgia has remained elusive. In this paper, we endeavor to unravel this intricate connection by examining the correlation between votes for the Democratic presidential candidate in Georgia and the age of Miss Teen USA contestants. Utilizing data from MIT Election Data and Science Lab, Harvard Dataverse, and Wikipedia, we conducted a thorough analysis spanning from 1983 to 2020. Our findings reveal a striking correlation coefficient of 0.8196955 with p < 0.01, indicating a robust relationship that cannot be dismissed as mere chance. The implications of this unexpected correlation prompt further inquiry into the complex interplay of youth, beauty, and political inclination. This study contributes to both political science and pageantry scholarship, shedding light on the tantalizing conundrum of "age before party" in the context of Georgia's voting dynamics.


Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft the introduction section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the introduction section of an academic research paper presenting the findings of the connection between Votes for the Democrat Presidential candidate in Georgia and Age of Miss Teen USA. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Here is the title and abstract of the paper:
[[TITLE]]
"Age Before Party: A Political-Pageant Paradox in Georgia"

[[ABSTRACT]]
The intersection of politics and pageantry has long piqued the curiosity of researchers, yet the entangled relationship between the age of Miss Teen USA contestants and voting patterns in Georgia has remained elusive. In this paper, we endeavor to unravel this intricate connection by examining the correlation between votes for the Democratic presidential candidate in Georgia and the age of Miss Teen USA contestants. Utilizing data from MIT Election Data and Science Lab, Harvard Dataverse, and Wikipedia, we conducted a thorough analysis spanning from 1983 to 2020. Our findings reveal a striking correlation coefficient of 0.8196955 with p < 0.01, indicating a robust relationship that cannot be dismissed as mere chance. The implications of this unexpected correlation prompt further inquiry into the complex interplay of youth, beauty, and political inclination. This study contributes to both political science and pageantry scholarship, shedding light on the tantalizing conundrum of "age before party" in the context of Georgia's voting dynamics.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

The intricate relationship between political leanings and seemingly unrelated factors has long captivated researchers, with the intersection of age and voting behavior standing as a particularly enigmatic puzzle demanding investigation. The aim of this study is to shed light on the surprising connection between the age of Miss Teen USA contestants and the voting patterns for the Democratic presidential candidate in the state of Georgia. While this correlation may initially seem as incongruent as a beauty queen at a political debate, our empirical analysis reveals a statistically significant relationship that cannot be brushed off like an ill-fitting sash.

In recent years, the murmurs of a theoretical association between the age of Miss Teen USA contestants and political preferences in Georgia have gained momentum like a tiara-wearing runner-up on the verge of victory. To fully apprehend this peculiar linkage, our research team meticulously curated data from a range of reputable sources, including the MIT Election Data and Science Lab, the Harvard Dataverse, and Wikipedia. Through extensive data wrangling and analysis, we distill the essence of this unlikely saga, offering insights that bear relevance not just to political science and pageantry scholarship, but also to anyone intrigued by the whims of statistical caprice.

While the notion of a fervent correlation between a democratically inclined electorate and the youthfulness encapsulated by Miss Teen USA may seem as incongruous as a televised political debate without any Twitter-worthy gaffes, our study stands as a testament to the often uncanny interplays found in the realms of human behavior. As we delve into the depths of this seemingly improbable connection, it becomes apparent that there is far more than meets the eye, akin to the discovery that a contestant's poise transcends the pageant stage and spills over into the voting booth.

The implications of this paradoxical correlation extend beyond the boundaries of mere statistical intrigue, peering into the kaleidoscopic layers of human psychology and societal dynamics. It is our hope that, through this foray into the unexpected overlap between youth pageantry and political predilections, an open dialogue will be sparked, prompting further scholarly examination and perhaps a few raised eyebrows amidst the staid corridors of academia.


Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a literature review section of an academic research paper presenting the findings of the connection between Votes for the Democrat Presidential candidate in Georgia and Age of Miss Teen USA. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then devolve ever further, and mention something completely ridiculous, like you conducted literature review by reading CVS receipts.

Here is the title and abstract of the paper:
[[TITLE]]
"Age Before Party: A Political-Pageant Paradox in Georgia"

[[ABSTRACT]]
The intersection of politics and pageantry has long piqued the curiosity of researchers, yet the entangled relationship between the age of Miss Teen USA contestants and voting patterns in Georgia has remained elusive. In this paper, we endeavor to unravel this intricate connection by examining the correlation between votes for the Democratic presidential candidate in Georgia and the age of Miss Teen USA contestants. Utilizing data from MIT Election Data and Science Lab, Harvard Dataverse, and Wikipedia, we conducted a thorough analysis spanning from 1983 to 2020. Our findings reveal a striking correlation coefficient of 0.8196955 with p < 0.01, indicating a robust relationship that cannot be dismissed as mere chance. The implications of this unexpected correlation prompt further inquiry into the complex interplay of youth, beauty, and political inclination. This study contributes to both political science and pageantry scholarship, shedding light on the tantalizing conundrum of "age before party" in the context of Georgia's voting dynamics.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The intricate relationship between political leanings and seemingly unrelated factors has long captivated researchers, with the intersection of age and voting behavior standing as a particularly enigmatic puzzle demanding investigation. The aim of this study is to shed light on the surprising connection between the age of Miss Teen USA contestants and the voting patterns for the Democratic presidential candidate in the state of Georgia. While this correlation may initially seem as incongruent as a beauty queen at a political debate, our empirical analysis reveals a statistically significant relationship that cannot be brushed off like an ill-fitting sash.
In recent years, the murmurs of a theoretical association between the age of Miss Teen USA contestants and political preferences in Georgia have gained momentum like a tiara-wearing runner-up on the verge of victory. To fully apprehend this peculiar linkage, our research team meticulously curated data from a range of reputable sources, including the MIT Election Data and Science Lab, the Harvard Dataverse, and Wikipedia. Through extensive data wrangling and analysis, we distill the essence of this unlikely saga, offering insights that bear relevance not just to political science and pageantry scholarship, but also to anyone intrigued by the whims of statistical caprice.
While the notion of a fervent correlation between a democratically inclined electorate and the youthfulness encapsulated by Miss Teen USA may seem as incongruous as a televised political debate without any Twitter-worthy gaffes, our study stands as a testament to the often uncanny interplays found in the realms of human behavior. As we delve into the depths of this seemingly improbable connection, it becomes apparent that there is far more than meets the eye, akin to the discovery that a contestant's poise transcends the pageant stage and spills over into the voting booth.
The implications of this paradoxical correlation extend beyond the boundaries of mere statistical intrigue, peering into the kaleidoscopic layers of human psychology and societal dynamics. It is our hope that, through this foray into the unexpected overlap between youth pageantry and political predilections, an open dialogue will be sparked, prompting further scholarly examination and perhaps a few raised eyebrows amidst the staid corridors of academia.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The relationship between votes for the Democratic presidential candidate in Georgia and the age of Miss Teen USA contestants has been the subject of speculative inquiry and perplexing fascination among researchers. Smith et al. (2015) conducted a comprehensive analysis of voter demographics in Georgia, discerning notable trends in political affiliations across different age cohorts. Meanwhile, Doe and Jones (2018) delved into the psychosocial factors influencing beauty pageant contestants, shedding light on the nuanced interplay of youth, charisma, and public appeal.

Exploring the broader context, books such as "The Age of Influence: The Power of Youth on Political Landscapes" by Amanda Smith and "Democracy in Bloom: How Beauty Pageants Shape Voting Behaviors" by John Doe have elucidated the intricate connections between youth culture and political inclinations. Furthermore, fictional works like "The Beauty Queen's Ballot: A Tale of Political Glamour and Subliminal Sashes" by Jane Austen and "Miss Congeniality and the Election Enigma" by Mark Twain offer allegorical insight into the enigmatic relationship between pageantry and politics.

In a departure from conventional academic sources, the breadth of this literature review was expanded to include unconventional sources, such as randomly generated nonsensical paragraphs, obscure conspiracy theory forums, and even an introspective analysis of CVS receipts. These unorthodox sources provide an off-kilter lens through which to view the complex web of connections, serving as both a source of amusement and a whimsical reminder of the unforeseen avenues through which knowledge can be gleaned.

As the exploration of this paradoxical correlation unfolds, it becomes evident that the convergence of youth, beauty, and political affiliations transcends the ordinary confines of academic inquiry, taking on a delightful absurdity that challenges traditional paradigms and tickles the intellect. The unfolding of this unexpected tale prompts a reevaluation of preconceived notions and an invitation to approach scholarly pursuits with a twinkle in the eye and a dash of eccentricity.


Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft the methodology section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the methodology section of an academic research paper presenting the findings of the connection between Votes for the Democrat Presidential candidate in Georgia and Age of Miss Teen USA. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from MIT Election Data and Science Lab, Harvard Dataverse and Wikipedia . You used data from 1983 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]]
"Age Before Party: A Political-Pageant Paradox in Georgia"

[[ABSTRACT]]
The intersection of politics and pageantry has long piqued the curiosity of researchers, yet the entangled relationship between the age of Miss Teen USA contestants and voting patterns in Georgia has remained elusive. In this paper, we endeavor to unravel this intricate connection by examining the correlation between votes for the Democratic presidential candidate in Georgia and the age of Miss Teen USA contestants. Utilizing data from MIT Election Data and Science Lab, Harvard Dataverse, and Wikipedia, we conducted a thorough analysis spanning from 1983 to 2020. Our findings reveal a striking correlation coefficient of 0.8196955 with p < 0.01, indicating a robust relationship that cannot be dismissed as mere chance. The implications of this unexpected correlation prompt further inquiry into the complex interplay of youth, beauty, and political inclination. This study contributes to both political science and pageantry scholarship, shedding light on the tantalizing conundrum of "age before party" in the context of Georgia's voting dynamics.

[[INTRODUCTION]]
The intricate relationship between political leanings and seemingly unrelated factors has long captivated researchers, with the intersection of age and voting behavior standing as a particularly enigmatic puzzle demanding investigation. The aim of this study is to shed light on the surprising connection between the age of Miss Teen USA contestants and the voting patterns for the Democratic presidential candidate in the state of Georgia. While this correlation may initially seem as incongruent as a beauty queen at a political debate, our empirical analysis reveals a statistically significant relationship that cannot be brushed off like an ill-fitting sash.
In recent years, the murmurs of a theoretical association between the age of Miss Teen USA contestants and political preferences in Georgia have gained momentum like a tiara-wearing runner-up on the verge of victory. To fully apprehend this peculiar linkage, our research team meticulously curated data from a range of reputable sources, including the MIT Election Data and Science Lab, the Harvard Dataverse, and Wikipedia. Through extensive data wrangling and analysis, we distill the essence of this unlikely saga, offering insights that bear relevance not just to political science and pageantry scholarship, but also to anyone intrigued by the whims of statistical caprice.
While the notion of a fervent correlation between a democratically inclined electorate and the youthfulness encapsulated by Miss Teen USA may seem as incongruous as a televised political debate without any Twitter-worthy gaffes, our study stands as a testament to the often uncanny interplays found in the realms of human behavior. As we delve into the depths of this seemingly improbable connection, it becomes apparent that there is far more than meets the eye, akin to the discovery that a contestant's poise transcends the pageant stage and spills over into the voting booth.
The implications of this paradoxical correlation extend beyond the boundaries of mere statistical intrigue, peering into the kaleidoscopic layers of human psychology and societal dynamics. It is our hope that, through this foray into the unexpected overlap between youth pageantry and political predilections, an open dialogue will be sparked, prompting further scholarly examination and perhaps a few raised eyebrows amidst the staid corridors of academia.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

As with any enigmatic enigma, the methodology employed in this study required a delicate concoction of precision and creativity, not unlike mastering the perfect soufflé. Our research team, recognizing the need for a comprehensive approach, meticulously curated data from a smorgasbord of sources that spanned the digital landscape like a Miss Teen USA contestant gracefully navigating the stage. The primary sources for our data included the MIT Election Data and Science Lab, the Harvard Dataverse, and Wikipedia, which provided the requisite ingredients for this statistical feast.

To identify the age of Miss Teen USA contestants, our team artfully sifted through archival records, employing an amalgamation of web scraping techniques and hand-researched data extraction to ensure the accuracy of the information captured within our dataset. In the spirit of acknowledging the merit of age-old wisdom, we extended our reach back to 1983, the inaugural year of Miss Teen USA, and journeyed through time to 2020, an epoch marked by its own distinctive socio-political milieu.

On the political front, we harvested the data on votes for the Democratic presidential candidate in the state of Georgia with the prowess of an expert gatherer trodding through an electoral thicket. The political data collection process bore the hallmark of both tenacity and finesse, drawing a delicate dance between the reams of raw data and the keen eye of our seasoned statisticians.

Once the data from both domains had been meticulously harvested, the two disparate streams were brought together in a seamless union, not unlike a harmonious integration of notes in a symphony. This amalgamation allowed us to explore the correlation between the age of Miss Teen USA contestants and the voting patterns for the Democratic presidential candidate in Georgia, unveiling a connection as unexpected as discovering a rare gem in a proverbial minefield.

To quantify the strength and significance of this correlation, rigorous statistical analyses were employed, following the sacred rites of hypothesis testing and correlation coefficient calculations. The nuanced interplay of variables and the tantalizing dance of statistical significance were weaved together, yielding immersive insights into this seemingly whimsical connection.

In the spirit of both scientific rigor and a dash of lightheartedness, our academic exploration embodied the essence of "age before party," transcending the conventional boundaries of data analysis to unravel an unexpected tale that, despite its improbable nature, remains etched in the annals of our empirical inquiry.


Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft the results section of an academic research paper. You speak in the past tense (you found...).
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the results section of an academic research paper presenting the findings of the connection between Votes for the Democrat Presidential candidate in Georgia and Age of Miss Teen USA. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from MIT Election Data and Science Lab, Harvard Dataverse and Wikipedia .

For the time period 1983 to 2020, you found a correlation 0.8196955, r-squared of 0.6719007, 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]]
"Age Before Party: A Political-Pageant Paradox in Georgia"

[[ABSTRACT]]
The intersection of politics and pageantry has long piqued the curiosity of researchers, yet the entangled relationship between the age of Miss Teen USA contestants and voting patterns in Georgia has remained elusive. In this paper, we endeavor to unravel this intricate connection by examining the correlation between votes for the Democratic presidential candidate in Georgia and the age of Miss Teen USA contestants. Utilizing data from MIT Election Data and Science Lab, Harvard Dataverse, and Wikipedia, we conducted a thorough analysis spanning from 1983 to 2020. Our findings reveal a striking correlation coefficient of 0.8196955 with p < 0.01, indicating a robust relationship that cannot be dismissed as mere chance. The implications of this unexpected correlation prompt further inquiry into the complex interplay of youth, beauty, and political inclination. This study contributes to both political science and pageantry scholarship, shedding light on the tantalizing conundrum of "age before party" in the context of Georgia's voting dynamics.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The intricate relationship between political leanings and seemingly unrelated factors has long captivated researchers, with the intersection of age and voting behavior standing as a particularly enigmatic puzzle demanding investigation. The aim of this study is to shed light on the surprising connection between the age of Miss Teen USA contestants and the voting patterns for the Democratic presidential candidate in the state of Georgia. While this correlation may initially seem as incongruent as a beauty queen at a political debate, our empirical analysis reveals a statistically significant relationship that cannot be brushed off like an ill-fitting sash.
In recent years, the murmurs of a theoretical association between the age of Miss Teen USA contestants and political preferences in Georgia have gained momentum like a tiara-wearing runner-up on the verge of victory. To fully apprehend this peculiar linkage, our research team meticulously curated data from a range of reputable sources, including the MIT Election Data and Science Lab, the Harvard Dataverse, and Wikipedia. Through extensive data wrangling and analysis, we distill the essence of this unlikely saga, offering insights that bear relevance not just to political science and pageantry scholarship, but also to anyone intrigued by the whims of statistical caprice.
While the notion of a fervent correlation between a democratically inclined electorate and the youthfulness encapsulated by Miss Teen USA may seem as incongruous as a televised political debate without any Twitter-worthy gaffes, our study stands as a testament to the often uncanny interplays found in the realms of human behavior. As we delve into the depths of this seemingly improbable connection, it becomes apparent that there is far more than meets the eye, akin to the discovery that a contestant's poise transcends the pageant stage and spills over into the voting booth.
The implications of this paradoxical correlation extend beyond the boundaries of mere statistical intrigue, peering into the kaleidoscopic layers of human psychology and societal dynamics. It is our hope that, through this foray into the unexpected overlap between youth pageantry and political predilections, an open dialogue will be sparked, prompting further scholarly examination and perhaps a few raised eyebrows amidst the staid corridors of academia.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

Our investigation into the connection between votes for the Democratic presidential candidate in Georgia and the age of Miss Teen USA contestants yielded intriguing results. The Pearson correlation coefficient for these variables was calculated to be 0.8196955, indicating a strong positive correlation. This coefficient was complemented by an r-squared value of 0.6719007, suggesting that approximately 67.19% of the variability in the votes for the Democratic candidate can be explained by the age of Miss Teen USA contestants. The p-value, falling below 0.01, further supports the statistical significance of this relationship, confirming that this mesmerizing interplay is no statistical fluke.

Notably, the scatterplot in Figure 1 visually depicts the robust correlation between the age of Miss Teen USA contestants and the votes for the Democratic presidential candidate in Georgia. The scatterplot resembles a symphony of data points harmoniously dancing to the tune of political persuasion and youthful exuberance, reminding one of a grand performance where the refrain of correlation crescendos to a crescendo of statistical resonance.

These findings shed light on the captivating interplay of youth and political inclination, traversing the realms of both pageantry and democratic leanings. The unexpected bond between the age of Miss Teen USA contestants and voting patterns in Georgia presents a delightful enigma to unravel, akin to an unexpected plot twist in a captivating novel. This investigation serves as a testament to the enthralling mysteries that can be unearthed at the juncture of seemingly unrelated domains, beckoning further intellectual exploration and, undoubtedly, a few bemused chuckles along the way.


Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the discussion section of an academic research paper presenting the findings of the connection between Votes for the Democrat Presidential candidate in Georgia and Age of Miss Teen USA. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Limit your response to 500 tokens.

Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.

Do not write a conclusion. I will add a conclusion after this.

[[TITLE]]
"Age Before Party: A Political-Pageant Paradox in Georgia"

[[ABSTRACT]]
The intersection of politics and pageantry has long piqued the curiosity of researchers, yet the entangled relationship between the age of Miss Teen USA contestants and voting patterns in Georgia has remained elusive. In this paper, we endeavor to unravel this intricate connection by examining the correlation between votes for the Democratic presidential candidate in Georgia and the age of Miss Teen USA contestants. Utilizing data from MIT Election Data and Science Lab, Harvard Dataverse, and Wikipedia, we conducted a thorough analysis spanning from 1983 to 2020. Our findings reveal a striking correlation coefficient of 0.8196955 with p < 0.01, indicating a robust relationship that cannot be dismissed as mere chance. The implications of this unexpected correlation prompt further inquiry into the complex interplay of youth, beauty, and political inclination. This study contributes to both political science and pageantry scholarship, shedding light on the tantalizing conundrum of "age before party" in the context of Georgia's voting dynamics.

[[LITERATURE REVIEW]]
The relationship between votes for the Democratic presidential candidate in Georgia and the age of Miss Teen USA contestants has been the subject of speculative inquiry and perplexing fascination among researchers. Smith et al. (2015) conducted a comprehensive analysis of voter demographics in Georgia, discerning notable trends in political affiliations across different age cohorts. Meanwhile, Doe and Jones (2018) delved into the psychosocial factors influencing beauty pageant contestants, shedding light on the nuanced interplay of youth, charisma, and public appeal.
Exploring the broader context, books such as "The Age of Influence: The Power of Youth on Political Landscapes" by Amanda Smith and "Democracy in Bloom: How Beauty Pageants Shape Voting Behaviors" by John Doe have elucidated the intricate connections between youth culture and political inclinations. Furthermore, fictional works like "The Beauty Queen's Ballot: A Tale of Political Glamour and Subliminal Sashes" by Jane Austen and "Miss Congeniality and the Election Enigma" by Mark Twain offer allegorical insight into the enigmatic relationship between pageantry and politics.
In a departure from conventional academic sources, the breadth of this literature review was expanded to include unconventional sources, such as randomly generated nonsensical paragraphs, obscure conspiracy theory forums, and even an introspective analysis of CVS receipts. These unorthodox sources provide an off-kilter lens through which to view the complex web of connections, serving as both a source of amusement and a whimsical reminder of the unforeseen avenues through which knowledge can be gleaned.
As the exploration of this paradoxical correlation unfolds, it becomes evident that the convergence of youth, beauty, and political affiliations transcends the ordinary confines of academic inquiry, taking on a delightful absurdity that challenges traditional paradigms and tickles the intellect. The unfolding of this unexpected tale prompts a reevaluation of preconceived notions and an invitation to approach scholarly pursuits with a twinkle in the eye and a dash of eccentricity.

[[RESULTS]]
Our investigation into the connection between votes for the Democratic presidential candidate in Georgia and the age of Miss Teen USA contestants yielded intriguing results. The Pearson correlation coefficient for these variables was calculated to be 0.8196955, indicating a strong positive correlation. This coefficient was complemented by an r-squared value of 0.6719007, suggesting that approximately 67.19% of the variability in the votes for the Democratic candidate can be explained by the age of Miss Teen USA contestants. The p-value, falling below 0.01, further supports the statistical significance of this relationship, confirming that this mesmerizing interplay is no statistical fluke.
Notably, the scatterplot in Figure 1 visually depicts the robust correlation between the age of Miss Teen USA contestants and the votes for the Democratic presidential candidate in Georgia. The scatterplot resembles a symphony of data points harmoniously dancing to the tune of political persuasion and youthful exuberance, reminding one of a grand performance where the refrain of correlation crescendos to a crescendo of statistical resonance.
These findings shed light on the captivating interplay of youth and political inclination, traversing the realms of both pageantry and democratic leanings. The unexpected bond between the age of Miss Teen USA contestants and voting patterns in Georgia presents a delightful enigma to unravel, akin to an unexpected plot twist in a captivating novel. This investigation serves as a testament to the enthralling mysteries that can be unearthed at the juncture of seemingly unrelated domains, beckoning further intellectual exploration and, undoubtedly, a few bemused chuckles along the way.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The results of our study vividly frame the unexpected linkage between the age of Miss Teen USA contestants and votes for the Democratic presidential candidate in Georgia as a captivating melodrama of correlation. This whimsical dance of statistical resonance, underscored by a robust correlation coefficient of 0.8196955, defies conventional paradigms and teases the intellect with its unanticipated revelry. Our findings not only provide empirical confirmation of the correlation alluded to in the literature review, but also elevate this unorthodox phenomenon to a poignant minuet of political-pageant paradox.

As we revisit the literature review, the obscure allegories and seemingly nonsensical references that at first glance appeared tangential take on a new profound relevance, akin to hidden gems waiting to be unearthed. Indeed, the playful allusions to "The Beauty Queen's Ballot: A Tale of Political Glamour and Subliminal Sashes" and "Miss Congeniality and the Election Enigma" betray an eerie prescience, suggesting that in the realm of scholarly pursuits, reality may indeed be stranger than fiction. The off-kilter lens through which the complex web of connections was viewed, initially met with a chuckle, now invites a reevaluation of our approach to unconventional sources and the bounds of scholarly exploration.

The r-squared value of 0.6719007 further underscores the extent to which the age of Miss Teen USA contestants explains the variability in votes for the Democratic candidate in Georgia. This statistical revelation, akin to an unexpected plot twist, lends concrete weight to the levity observed in the literature review, revealing that whimsy and thought-provoking insight can dance hand in hand.

Ultimately, the entanglement of youth and political inclination unveiled in our study transcends the conventional contours of academic inquiry, ushering in an era of scholarly amusement and cognitive interrogation. This study not only enriches the discourse on the intersection of politics and pageantry, but also serves as an invitation to approach the most peculiar juxtapositions with a twinkle in the eye and an unyielding dedication to unravel the mysteries that continue to fascinate and bemuse us all.


Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft the discussion section of goofy academic research papers that sounds like it belongs based on the title and abstract provided.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Votes for the Democrat Presidential candidate in Georgia and Age of Miss Teen USA. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
"Age Before Party: A Political-Pageant Paradox in Georgia"

[[ABSTRACT]]
The intersection of politics and pageantry has long piqued the curiosity of researchers, yet the entangled relationship between the age of Miss Teen USA contestants and voting patterns in Georgia has remained elusive. In this paper, we endeavor to unravel this intricate connection by examining the correlation between votes for the Democratic presidential candidate in Georgia and the age of Miss Teen USA contestants. Utilizing data from MIT Election Data and Science Lab, Harvard Dataverse, and Wikipedia, we conducted a thorough analysis spanning from 1983 to 2020. Our findings reveal a striking correlation coefficient of 0.8196955 with p < 0.01, indicating a robust relationship that cannot be dismissed as mere chance. The implications of this unexpected correlation prompt further inquiry into the complex interplay of youth, beauty, and political inclination. This study contributes to both political science and pageantry scholarship, shedding light on the tantalizing conundrum of "age before party" in the context of Georgia's voting dynamics.

[[INTRDUCTION]]
The intricate relationship between political leanings and seemingly unrelated factors has long captivated researchers, with the intersection of age and voting behavior standing as a particularly enigmatic puzzle demanding investigation. The aim of this study is to shed light on the surprising connection between the age of Miss Teen USA contestants and the voting patterns for the Democratic presidential candidate in the state of Georgia. While this correlation may initially seem as incongruent as a beauty queen at a political debate, our empirical analysis reveals a statistically significant relationship that cannot be brushed off like an ill-fitting sash.
In recent years, the murmurs of a theoretical association between the age of Miss Teen USA contestants and political preferences in Georgia have gained momentum like a tiara-wearing runner-up on the verge of victory. To fully apprehend this peculiar linkage, our research team meticulously curated data from a range of reputable sources, including the MIT Election Data and Science Lab, the Harvard Dataverse, and Wikipedia. Through extensive data wrangling and analysis, we distill the essence of this unlikely saga, offering insights that bear relevance not just to political science and pageantry scholarship, but also to anyone intrigued by the whims of statistical caprice.
While the notion of a fervent correlation between a democratically inclined electorate and the youthfulness encapsulated by Miss Teen USA may seem as incongruous as a televised political debate without any Twitter-worthy gaffes, our study stands as a testament to the often uncanny interplays found in the realms of human behavior. As we delve into the depths of this seemingly improbable connection, it becomes apparent that there is far more than meets the eye, akin to the discovery that a contestant's poise transcends the pageant stage and spills over into the voting booth.
The implications of this paradoxical correlation extend beyond the boundaries of mere statistical intrigue, peering into the kaleidoscopic layers of human psychology and societal dynamics. It is our hope that, through this foray into the unexpected overlap between youth pageantry and political predilections, an open dialogue will be sparked, prompting further scholarly examination and perhaps a few raised eyebrows amidst the staid corridors of academia.

[[RESULTS]]
Our investigation into the connection between votes for the Democratic presidential candidate in Georgia and the age of Miss Teen USA contestants yielded intriguing results. The Pearson correlation coefficient for these variables was calculated to be 0.8196955, indicating a strong positive correlation. This coefficient was complemented by an r-squared value of 0.6719007, suggesting that approximately 67.19% of the variability in the votes for the Democratic candidate can be explained by the age of Miss Teen USA contestants. The p-value, falling below 0.01, further supports the statistical significance of this relationship, confirming that this mesmerizing interplay is no statistical fluke.
Notably, the scatterplot in Figure 1 visually depicts the robust correlation between the age of Miss Teen USA contestants and the votes for the Democratic presidential candidate in Georgia. The scatterplot resembles a symphony of data points harmoniously dancing to the tune of political persuasion and youthful exuberance, reminding one of a grand performance where the refrain of correlation crescendos to a crescendo of statistical resonance.
These findings shed light on the captivating interplay of youth and political inclination, traversing the realms of both pageantry and democratic leanings. The unexpected bond between the age of Miss Teen USA contestants and voting patterns in Georgia presents a delightful enigma to unravel, akin to an unexpected plot twist in a captivating novel. This investigation serves as a testament to the enthralling mysteries that can be unearthed at the juncture of seemingly unrelated domains, beckoning further intellectual exploration and, undoubtedly, a few bemused chuckles along the way.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our study has delved into the intriguing nexus of Miss Teen USA contestants' age and voting patterns in Georgia, unearthing a remarkable correlation between these seemingly disparate variables. The statistically robust relationship, akin to a sash beautifully intertwined with a gown, suggests that there may be underlying dynamics at play, transcending the realms of both political science and pageantry scholarship.

The implications of our findings extend far beyond the mere statistical anomaly, delving into the intricate tapestry of human behavior and societal influence. The unexpected marriage of youthful exuberance and political persuasion unfolds like a captivating tale, one that leaves the reader pondering the enigmatic twists and turns of human predilections. It beckons us to contemplate the alluring paradox of "age before party," resonating with an echo that lingers in the corridors of both academia and popular consciousness.

As our study draws to a close, we are left with a feeling akin to witnessing a surprising plot twist in a well-crafted novel - a moment of both revelation and delight. However, it is with this revelation that we proclaim the conclusion of this particular exploration. It is the firm belief of this researcher that no further inquiries or studies are necessary in this specific area. The connection between voting patterns for the Democratic presidential candidate in Georgia and the age of Miss Teen USA contestants stands as an unprecedented, yet conclusive, chapter in the annals of interdisciplinary research. Further investigation would be akin to searching for rain in a desert - unnecessary, and perhaps a touch absurd.

Therefore, it is with a sense of closure and a healthy dose of humor that we lay to rest the curiosity sparked by this captivating correlation, confident that it has been thoroughly and satisfyingly demystified. This, my dear colleagues, is where we bid adieu to this research topic, like a graceful pageant queen waving from the stage, confident in her victory.


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 Age Before Party: A Political-Pageant Paradox in Georgia. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Political 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 Age Before Party: A Political-Pageant Paradox in Georgia. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Political Punditry and Paradox Research


Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled Age Before Party: A Political-Pageant Paradox in Georgia with an abstract of The intersection of politics and pageantry has long piqued the curiosity of researchers, yet the entangled relationship between the age of Miss Teen USA contestants and voting patterns in Georgia has remained elusive. In this paper, we endeavor to unravel this intricate connection by examining the correlation between votes for the Democratic presidential candidate in Georgia and the age of Miss Teen USA contestants. Utilizing data from MIT Election Data and Science Lab, Harvard Dataverse, and Wikipedia, we conducted a thorough analysis spanning from 1983 to 2020. Our findings reveal a striking correlation coefficient of 0.8196955 with p < 0.01, indicating a robust relationship that cannot be dismissed as mere chance. The implications of this unexpected correlation prompt further inquiry into the complex interplay of youth, beauty, and political inclination. This study contributes to both political science and pageantry scholarship, shedding light on the tantalizing conundrum of "age before party" in the context of Georgia's voting dynamics.

ChatGPT:

Miss Teen USA, voting patterns, Georgia, Democratic presidential candidate, correlation analysis, MIT Election Data and Science Lab, Harvard Dataverse, age of contestants, political inclination, beauty pageants, political science, pageantry scholarship, youth and politics

*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 Democratic Presidential candidate in Georgia
Detailed data title: Percentage of all votes cast for the Democrat Presidential candidate in Georgia
Source: MIT Election Data and Science Lab, Harvard Dataverse
See what else correlates with Votes for the Democratic Presidential candidate in Georgia

Age of Miss Teen USA
Source: Wikipedia
See what else correlates with Age of Miss Teen USA

Correlation r = 0.8196955 (Pearson correlation coefficient)
Correlation is a measure of how much the variables move together. If it is 0.99, when one goes up the other goes up. If it is 0.02, the connection is very weak or non-existent. If it is -0.99, then when one goes up the other goes down. If it is 1.00, you probably messed up your correlation function.

r2 = 0.6719007 (Coefficient of determination)
This means 67.2% of the change in the one variable (i.e., Age of Miss Teen USA) is predictable based on the change in the other (i.e., Votes for the Democratic Presidential candidate in Georgia) over the 10 years from 1983 through 2020.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.0037. 0.0036966361464326870000000000
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 0.82 in 0.37% of random cases. Said differently, if you correlated 271 random variables Which I absolutely did.
with the same 9 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 9 because we have two variables measured over a period of 10 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.

[ 0.39, 0.96 ] 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.
1984198819921996200020042008201220162020
Votes for the Democratic Presidential candidate in Georgia (Percentage of votes)39.785339.498443.468745.841543.21141.374946.990245.50845.6449.4731
Age of Miss Teen USA (Age Years)17161718181718181818




Why this works

  1. 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.
  2. 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.
  3. 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.




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([39.7853,39.4984,43.4687,45.8415,43.211,41.3749,46.9902,45.508,45.64,49.4731,])
array_2 = np.array([17,16,17,18,18,17,18,18,18,18,])
array_1_name = "Votes for the Democratic Presidential candidate in Georgia"
array_2_name = "Age of Miss Teen USA"

# 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 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.

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Correlation ID: 5760 · Black Variable ID: 26079 · Red Variable ID: 85
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