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Spurious correlation #1,634 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Age of American Idol Winner and the second variable is The number of millwrights in Alaska.  The chart goes from 2004 to 2014, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

As the American Idol winners age, they develop a strong affinity for lumberjack culture, leading to a surge in demand for Alaskan millwrights to craft custom log cabin furniture and intricate wooden structures. It's a real testament to the ripple effects of aging pop stars on niche trades in the Last Frontier!

Model: dalle-3
Prompt: Generate an image in the style inspired by Bauhaus, illustrating a young American Idol winner strolling through a bustling Alaskan town. The winner's vibrant energy forms a stark contrast as they pass a cluster of seasoned millwrights working on a new construction project. The millwrights, with varying ages and expertise, exude a sense of wisdom and experience amidst the youthful exuberance of the American Idol winner. The scene captures the intersection of youthful energy and seasoned expertise in an engaging and visually striking manner. 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: Age of American Idol Winner and The number of millwrights in Alaska. 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: Vaporwave A comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s inspired by bauhaus Cute 2D animation inspired by bauhaus
ChatGPT: inspired by bauhaus

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 Age of American Idol Winner and The number of millwrights in Alaska together. Keep the description simple.
ChatGPT: A young American Idol winner excitedly walks through a bustling Alaskan town, passing by a group of experienced millwrights working on a new construction project. Their ages vary, but the winner's youthful energy adds a vibrant contrast to the seasoned expertise of the millwrights.

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: [ inspired by bauhaus ] and depicting this scene: A young American Idol winner excitedly walks through a bustling Alaskan town, passing by a group of experienced millwrights working on a new construction project. Their ages vary, but the winner's youthful energy adds a vibrant contrast to the seasoned expertise of the millwrights. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image in the style inspired by Bauhaus, illustrating a young American Idol winner strolling through a bustling Alaskan town. The winner's vibrant energy forms a stark contrast as they pass a cluster of seasoned millwrights working on a new construction project. The millwrights, with varying ages and expertise, exude a sense of wisdom and experience amidst the youthful exuberance of the American Idol winner. The scene captures the intersection of youthful energy and seasoned expertise in an engaging and visually striking manner.

*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 Age of American Idol Winner caused The number of millwrights in Alaska to increase.

AI academic paper

(Because p < 0.01)
Aging Idols and Alaskan Artisans: Exploring the Curious Relationship Between American Idol Winners' Age and the Millwright Population in The Last Frontier

The Journal of Cultural Demographics and Pop Culture Trends

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 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 Age of American Idol Winner and The number of millwrights in Alaska. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Make the title seem clever.

Your research team used data from Wikipedia and Bureau of Larbor Statistics to assess this nagging question. You found a correlation coefficient of 0.8485794 and p < 0.01 for 2004 to 2014.

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]]
Aging Idols and Alaskan Artisans: Exploring the Curious Relationship Between American Idol Winners' Age and the Millwright Population in The Last Frontier

[[ABSTRACT]]
This study sought to investigate the perplexing correlation between the age of American Idol winners and the number of millwrights in the state of Alaska. By employing data from Wikipedia and the Bureau of Labor Statistics, a correlation coefficient of 0.8485794 and p < 0.01 was computed for the years 2004 to 2014, highlighting a statistically significant association. Our findings suggest that as the age of the American Idol winner increases, so does the number of millwrights in Alaska. While this connection may seem as unexpected as a harmonica solo at a heavy metal concert, it could provide insight into the cultural and economic dynamics at play. This unexpected relationship may prompt future studies to explore the influence of popular media events on vocational trends and the intricate interplay of entertainment and occupational demographics. In conclusion, our research sheds light on an unusual linkage that may inspire further investigation and, dare we say, a lyrical ode to the unexpected connections in our world.


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 Age of American Idol Winner and The number of millwrights in Alaska. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Here is the title and abstract of the paper:
[[TITLE]]
Aging Idols and Alaskan Artisans: Exploring the Curious Relationship Between American Idol Winners' Age and the Millwright Population in The Last Frontier

[[ABSTRACT]]
This study sought to investigate the perplexing correlation between the age of American Idol winners and the number of millwrights in the state of Alaska. By employing data from Wikipedia and the Bureau of Labor Statistics, a correlation coefficient of 0.8485794 and p < 0.01 was computed for the years 2004 to 2014, highlighting a statistically significant association. Our findings suggest that as the age of the American Idol winner increases, so does the number of millwrights in Alaska. While this connection may seem as unexpected as a harmonica solo at a heavy metal concert, it could provide insight into the cultural and economic dynamics at play. This unexpected relationship may prompt future studies to explore the influence of popular media events on vocational trends and the intricate interplay of entertainment and occupational demographics. In conclusion, our research sheds light on an unusual linkage that may inspire further investigation and, dare we say, a lyrical ode to the unexpected connections in our world.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

The rise of reality television and the unique social and economic dynamics of the state of Alaska have yielded a most unexpected and thought-provoking correlation: the connection between the age of American Idol winners and the number of millwrights in The Last Frontier. In this study, we delve into the uncharted territory of this peculiar relationship, aiming to unravel the enigma that lies beneath this statistically significant association.

While the casual observer may find it as surprising as a polar bear in a tropical rainforest, our investigation revealed a striking correlation coefficient of 0.8485794 and p < 0.01 for the period of 2004 to 2014. The upsurge of millwrights in Alaska appears to march in lockstep with the advancing age of the American Idol winners, akin to a synchronized dance routine on live television. This correlation stands out like a moose in Manhattan, prompting us to delve deeper into the possible factors driving this unexpected linkage.

Our findings not only challenge the conventional wisdom but also raise a symphony of questions in the grand opera of cultural and economic dynamics. Are the crooning champions of American Idol inadvertently shaping the vocational landscape of The Last Frontier? Does "Age and Experience" resonate as much in Alaskan workshops as it does on the Idol stage? These questions, as perplexing as a puzzle in a blizzard, beckon us to ponder the interplay of popular media, entertainment, and vocational trends in a harmonious ensemble.

In the following sections, we will leverage data from Wikipedia and the Bureau of Labor Statistics to elucidate this improbable correlation and unravel its implications. So, buckle up like an Alaskan husky and prepare to embark on a journey through the frosty landscapes of statistical inquiry and unexpected associations that will serve as a wake-up call to the curious and a siren song to the intrepid researcher. Let the adventure begin!


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 Age of American Idol Winner and The number of millwrights in Alaska. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name some movies that you watched that are tangentially related to the topic.

Here is the title and abstract of the paper:
[[TITLE]]
Aging Idols and Alaskan Artisans: Exploring the Curious Relationship Between American Idol Winners' Age and the Millwright Population in The Last Frontier

[[ABSTRACT]]
This study sought to investigate the perplexing correlation between the age of American Idol winners and the number of millwrights in the state of Alaska. By employing data from Wikipedia and the Bureau of Labor Statistics, a correlation coefficient of 0.8485794 and p < 0.01 was computed for the years 2004 to 2014, highlighting a statistically significant association. Our findings suggest that as the age of the American Idol winner increases, so does the number of millwrights in Alaska. While this connection may seem as unexpected as a harmonica solo at a heavy metal concert, it could provide insight into the cultural and economic dynamics at play. This unexpected relationship may prompt future studies to explore the influence of popular media events on vocational trends and the intricate interplay of entertainment and occupational demographics. In conclusion, our research sheds light on an unusual linkage that may inspire further investigation and, dare we say, a lyrical ode to the unexpected connections in our world.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The rise of reality television and the unique social and economic dynamics of the state of Alaska have yielded a most unexpected and thought-provoking correlation: the connection between the age of American Idol winners and the number of millwrights in The Last Frontier. In this study, we delve into the uncharted territory of this peculiar relationship, aiming to unravel the enigma that lies beneath this statistically significant association.
While the casual observer may find it as surprising as a polar bear in a tropical rainforest, our investigation revealed a striking correlation coefficient of 0.8485794 and p < 0.01 for the period of 2004 to 2014. The upsurge of millwrights in Alaska appears to march in lockstep with the advancing age of the American Idol winners, akin to a synchronized dance routine on live television. This correlation stands out like a moose in Manhattan, prompting us to delve deeper into the possible factors driving this unexpected linkage.
Our findings not only challenge the conventional wisdom but also raise a symphony of questions in the grand opera of cultural and economic dynamics. Are the crooning champions of American Idol inadvertently shaping the vocational landscape of The Last Frontier? Does "Age and Experience" resonate as much in Alaskan workshops as it does on the Idol stage? These questions, as perplexing as a puzzle in a blizzard, beckon us to ponder the interplay of popular media, entertainment, and vocational trends in a harmonious ensemble.
In the following sections, we will leverage data from Wikipedia and the Bureau of Labor Statistics to elucidate this improbable correlation and unravel its implications. So, buckle up like an Alaskan husky and prepare to embark on a journey through the frosty landscapes of statistical inquiry and unexpected associations that will serve as a wake-up call to the curious and a siren song to the intrepid researcher. Let the adventure begin!

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

In "Smith et al.," the authors find that the age of American Idol winners has a statistically significant correlation with the number of millwrights in Alaska. This unexpected relationship has prompted considerable interest and speculation within both academic and non-academic circles. As we venture into the literature, we uncover a plethora of studies and texts that surround the themes of popular culture, vocational trends, and the enigmatic connection between seemingly disparate phenomena.

"Age and Occupation: Unraveling the Mysteries of Vocational Dynamics" by Doe and Jones provides a comprehensive analysis of the influence of age on occupational trends across various industries. While the focus of this seminal work extends beyond the realm of reality television, its insights into the interplay between age and vocational choices serve as a relevant backdrop to our investigation. The authors illuminate the complex factors that underpin individuals' career trajectories, offering a compelling framework for understanding the unforeseen correlation we have encountered.

Building upon this foundation, "The Economic Implications of Reality Television" by Brown explores the intricate relationship between popular media and economic dynamics. While Brown's work predominantly centers on the broader economic impact of reality television, its relevance to our study lies in its exploration of the far-reaching implications of cultural phenomena on occupational patterns. The author's nuanced analysis paves the way for a deeper examination of the potential influence of American Idol on the vocational landscape, in this case, the notable surge in millwrights within the Alaskan workforce.

As we delve further into the literature, we encounter an unexpected array of texts that either tangentially or humorously touch upon our research focus. "The Art of Aging" by Greene and "The Last Frontier: Myth or Reality?" by Stewart, while not directly related to the core subject matter, offer intriguing perspectives on the themes of aging and regional dynamics, which, in their own right, contribute to the tapestry of our exploration.

In a departure from the conventional, "Singing in the Snow: A Musical Odyssey in the Alaskan Wilderness" by Frost and "The Idol's Apprentice: A Tale of Vocational Intrigue" by Harper represent fictional works that, while not rooted in empirical research, capture the imagination and inject a sense of whimsy into our academic inquiry. These imaginative literary creations serve as a lighthearted reminder of the multifaceted dimensions of our investigation and the potential for unexpected discoveries within the realm of scholarly pursuit.

Furthermore, the researchers draw inspiration from cinematic narratives that, albeit unrelated to our precise focus, resonate with the overarching themes of serendipitous connections and unlikely relationships. "Frozen" and "The Sound of Music," as examples of visually compelling storytelling, offer allegorical parallels to our exploration, reminding us of the unexpected revelations that emanate from the most unlikely of sources.

As we augment our scholarly pursuit with the interplay of fictional and visual narratives, we are reminded of the intrinsic allure of academic inquiry and the potential for unanticipated discoveries that transcend the boundaries of traditional research paradigms. Ultimately, our foray into the literature unveils a rich tapestry of perspectives that converge to form the backdrop for our investigation, inviting both serious contemplation and lighthearted reflection on the curious interplay of age, media, and occupational trends.


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 Age of American Idol Winner and The number of millwrights in Alaska. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Your research team collected data from all across the internet, but mostly just used information from Wikipedia and Bureau of Larbor Statistics . You used data from 2004 to 2014

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]]
Aging Idols and Alaskan Artisans: Exploring the Curious Relationship Between American Idol Winners' Age and the Millwright Population in The Last Frontier

[[ABSTRACT]]
This study sought to investigate the perplexing correlation between the age of American Idol winners and the number of millwrights in the state of Alaska. By employing data from Wikipedia and the Bureau of Labor Statistics, a correlation coefficient of 0.8485794 and p < 0.01 was computed for the years 2004 to 2014, highlighting a statistically significant association. Our findings suggest that as the age of the American Idol winner increases, so does the number of millwrights in Alaska. While this connection may seem as unexpected as a harmonica solo at a heavy metal concert, it could provide insight into the cultural and economic dynamics at play. This unexpected relationship may prompt future studies to explore the influence of popular media events on vocational trends and the intricate interplay of entertainment and occupational demographics. In conclusion, our research sheds light on an unusual linkage that may inspire further investigation and, dare we say, a lyrical ode to the unexpected connections in our world.

[[INTRODUCTION]]
The rise of reality television and the unique social and economic dynamics of the state of Alaska have yielded a most unexpected and thought-provoking correlation: the connection between the age of American Idol winners and the number of millwrights in The Last Frontier. In this study, we delve into the uncharted territory of this peculiar relationship, aiming to unravel the enigma that lies beneath this statistically significant association.
While the casual observer may find it as surprising as a polar bear in a tropical rainforest, our investigation revealed a striking correlation coefficient of 0.8485794 and p < 0.01 for the period of 2004 to 2014. The upsurge of millwrights in Alaska appears to march in lockstep with the advancing age of the American Idol winners, akin to a synchronized dance routine on live television. This correlation stands out like a moose in Manhattan, prompting us to delve deeper into the possible factors driving this unexpected linkage.
Our findings not only challenge the conventional wisdom but also raise a symphony of questions in the grand opera of cultural and economic dynamics. Are the crooning champions of American Idol inadvertently shaping the vocational landscape of The Last Frontier? Does "Age and Experience" resonate as much in Alaskan workshops as it does on the Idol stage? These questions, as perplexing as a puzzle in a blizzard, beckon us to ponder the interplay of popular media, entertainment, and vocational trends in a harmonious ensemble.
In the following sections, we will leverage data from Wikipedia and the Bureau of Labor Statistics to elucidate this improbable correlation and unravel its implications. So, buckle up like an Alaskan husky and prepare to embark on a journey through the frosty landscapes of statistical inquiry and unexpected associations that will serve as a wake-up call to the curious and a siren song to the intrepid researcher. Let the adventure begin!

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

The present study harnessed the power of data from a variety of sources, primarily leaning on the treasure troves of information available on Wikipedia and the Bureau of Labor Statistics. The data covered the period from 2004 to 2014, during which the age of American Idol winners and the number of millwrights in Alaska were diligently recorded and scrutinized. The oh-so-reliable world wide web provided a veritable smorgasbord of information, allowing us to cast our net wide in pursuit of this seemingly improbable connection.

To quantify the age of the American Idol winners, we navigated the virtual labyrinth of web pages dedicated to the show's champions. This delightful treasure hunt on the internet proved to be a bit like the Idol contestants' journey to stardom: a mix of suspense, frantic clicking, and occasional sightings of confetti. Once the age data was corralled, it was subjected to rigorous cross-verification to ensure that no impostors had sneaked into the winner's circle.

Simultaneously, in our quest to measure the number of millwrights in the northern expanse of Alaska, a deep dive into the Bureau of Labor Statistics' datasets was undertaken. The labyrinthine datasets were akin to a cryptic crossword puzzle, demanding careful scrutiny to extract the elusive numbers of skilled artisans navigating the terrain of The Last Frontier.

Having amassed these disparate yet oddly related datasets, we applied a statistical analysis to discern any semblance of a relationship. The correlation coefficient and p-value took center stage in our inquiry, akin to a high-stakes game show where the contestants were data points and the prize was a revelation as unexpected as a plot twist in a nighttime soap opera.

The calculated correlation coefficient of 0.8485794, coupled with a p-value of less than 0.01, emerged as the stars of our statistical show, implying a noteworthy and statistically significant association between the advancing years of Idol champions and the burgeoning population of millwrights in Alaska. This statistical performance had all the elements of a gripping reality television finale, leaving the audience on the edge of their seats, wondering how these seemingly unrelated variables had stolen the spotlight.

In summary, our research journey unfurled like an expedition into uncharted territory, navigating the wilds of internet data and statistical acrobatics to illuminate an unexpected bond between the world of glitzy talent competitions and the cool, steady hum of vocational craftsmanship.


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 Age of American Idol Winner and The number of millwrights in Alaska. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Your research team collected data from all across the internet, but mostly just used information from Wikipedia and Bureau of Larbor Statistics .

For the time period 2004 to 2014, you found a correlation 0.8485794, r-squared of 0.7200871, 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]]
Aging Idols and Alaskan Artisans: Exploring the Curious Relationship Between American Idol Winners' Age and the Millwright Population in The Last Frontier

[[ABSTRACT]]
This study sought to investigate the perplexing correlation between the age of American Idol winners and the number of millwrights in the state of Alaska. By employing data from Wikipedia and the Bureau of Labor Statistics, a correlation coefficient of 0.8485794 and p < 0.01 was computed for the years 2004 to 2014, highlighting a statistically significant association. Our findings suggest that as the age of the American Idol winner increases, so does the number of millwrights in Alaska. While this connection may seem as unexpected as a harmonica solo at a heavy metal concert, it could provide insight into the cultural and economic dynamics at play. This unexpected relationship may prompt future studies to explore the influence of popular media events on vocational trends and the intricate interplay of entertainment and occupational demographics. In conclusion, our research sheds light on an unusual linkage that may inspire further investigation and, dare we say, a lyrical ode to the unexpected connections in our world.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The rise of reality television and the unique social and economic dynamics of the state of Alaska have yielded a most unexpected and thought-provoking correlation: the connection between the age of American Idol winners and the number of millwrights in The Last Frontier. In this study, we delve into the uncharted territory of this peculiar relationship, aiming to unravel the enigma that lies beneath this statistically significant association.
While the casual observer may find it as surprising as a polar bear in a tropical rainforest, our investigation revealed a striking correlation coefficient of 0.8485794 and p < 0.01 for the period of 2004 to 2014. The upsurge of millwrights in Alaska appears to march in lockstep with the advancing age of the American Idol winners, akin to a synchronized dance routine on live television. This correlation stands out like a moose in Manhattan, prompting us to delve deeper into the possible factors driving this unexpected linkage.
Our findings not only challenge the conventional wisdom but also raise a symphony of questions in the grand opera of cultural and economic dynamics. Are the crooning champions of American Idol inadvertently shaping the vocational landscape of The Last Frontier? Does "Age and Experience" resonate as much in Alaskan workshops as it does on the Idol stage? These questions, as perplexing as a puzzle in a blizzard, beckon us to ponder the interplay of popular media, entertainment, and vocational trends in a harmonious ensemble.
In the following sections, we will leverage data from Wikipedia and the Bureau of Labor Statistics to elucidate this improbable correlation and unravel its implications. So, buckle up like an Alaskan husky and prepare to embark on a journey through the frosty landscapes of statistical inquiry and unexpected associations that will serve as a wake-up call to the curious and a siren song to the intrepid researcher. Let the adventure begin!

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The findings of this study revealed a remarkably robust correlation between the age of American Idol winners and the number of millwrights in Alaska for the years 2004 to 2014. The calculated correlation coefficient of 0.8485794 indicated a strong positive linear relationship, while the r-squared value of 0.7200871 underscored the substantial degree of variability in the number of millwrights that could be explained by the age of American Idol winners. Furthermore, the p-value of less than 0.01 provided compelling evidence of the statistical significance of this association.

Figure 1 illustrates the striking correlation between the age of American Idol winners and the number of millwrights in Alaska, resembling a harmonious duet between variables that one might not expect to share the stage. The scatterplot visually conveys the synchronized rise in the number of millwrights with the advancing age of American Idol winners, akin to a well-coordinated dance routine that defies conventional expectations.

The unexpected nature of this connection beckons one to contemplate the potential influence of popular media events on vocational trends and the intricate interplay of entertainment and occupational demographics. While one might expect to encounter such an unanticipated relationship as frequently as stumbling upon a pair of ice skates in the desert, our findings urge further exploration of the complex forces at play in shaping the cultural and economic landscape of Alaska.

In conclusion, this study sheds light on an improbable linkage between the age of American Idol winners and the number of millwrights in Alaska, prompting further investigation and potentially inspiring a melodious medley of inquiry into the unexpected connections that enrich our understanding of the world.


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 Age of American Idol Winner and The number of millwrights in Alaska. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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]]
Aging Idols and Alaskan Artisans: Exploring the Curious Relationship Between American Idol Winners' Age and the Millwright Population in The Last Frontier

[[ABSTRACT]]
This study sought to investigate the perplexing correlation between the age of American Idol winners and the number of millwrights in the state of Alaska. By employing data from Wikipedia and the Bureau of Labor Statistics, a correlation coefficient of 0.8485794 and p < 0.01 was computed for the years 2004 to 2014, highlighting a statistically significant association. Our findings suggest that as the age of the American Idol winner increases, so does the number of millwrights in Alaska. While this connection may seem as unexpected as a harmonica solo at a heavy metal concert, it could provide insight into the cultural and economic dynamics at play. This unexpected relationship may prompt future studies to explore the influence of popular media events on vocational trends and the intricate interplay of entertainment and occupational demographics. In conclusion, our research sheds light on an unusual linkage that may inspire further investigation and, dare we say, a lyrical ode to the unexpected connections in our world.

[[LITERATURE REVIEW]]
In "Smith et al.," the authors find that the age of American Idol winners has a statistically significant correlation with the number of millwrights in Alaska. This unexpected relationship has prompted considerable interest and speculation within both academic and non-academic circles. As we venture into the literature, we uncover a plethora of studies and texts that surround the themes of popular culture, vocational trends, and the enigmatic connection between seemingly disparate phenomena.
"Age and Occupation: Unraveling the Mysteries of Vocational Dynamics" by Doe and Jones provides a comprehensive analysis of the influence of age on occupational trends across various industries. While the focus of this seminal work extends beyond the realm of reality television, its insights into the interplay between age and vocational choices serve as a relevant backdrop to our investigation. The authors illuminate the complex factors that underpin individuals' career trajectories, offering a compelling framework for understanding the unforeseen correlation we have encountered.
Building upon this foundation, "The Economic Implications of Reality Television" by Brown explores the intricate relationship between popular media and economic dynamics. While Brown's work predominantly centers on the broader economic impact of reality television, its relevance to our study lies in its exploration of the far-reaching implications of cultural phenomena on occupational patterns. The author's nuanced analysis paves the way for a deeper examination of the potential influence of American Idol on the vocational landscape, in this case, the notable surge in millwrights within the Alaskan workforce.
As we delve further into the literature, we encounter an unexpected array of texts that either tangentially or humorously touch upon our research focus. "The Art of Aging" by Greene and "The Last Frontier: Myth or Reality?" by Stewart, while not directly related to the core subject matter, offer intriguing perspectives on the themes of aging and regional dynamics, which, in their own right, contribute to the tapestry of our exploration.
In a departure from the conventional, "Singing in the Snow: A Musical Odyssey in the Alaskan Wilderness" by Frost and "The Idol's Apprentice: A Tale of Vocational Intrigue" by Harper represent fictional works that, while not rooted in empirical research, capture the imagination and inject a sense of whimsy into our academic inquiry. These imaginative literary creations serve as a lighthearted reminder of the multifaceted dimensions of our investigation and the potential for unexpected discoveries within the realm of scholarly pursuit.
Furthermore, the researchers draw inspiration from cinematic narratives that, albeit unrelated to our precise focus, resonate with the overarching themes of serendipitous connections and unlikely relationships. "Frozen" and "The Sound of Music," as examples of visually compelling storytelling, offer allegorical parallels to our exploration, reminding us of the unexpected revelations that emanate from the most unlikely of sources.
As we augment our scholarly pursuit with the interplay of fictional and visual narratives, we are reminded of the intrinsic allure of academic inquiry and the potential for unanticipated discoveries that transcend the boundaries of traditional research paradigms. Ultimately, our foray into the literature unveils a rich tapestry of perspectives that converge to form the backdrop for our investigation, inviting both serious contemplation and lighthearted reflection on the curious interplay of age, media, and occupational trends.

[[RESULTS]]
The findings of this study revealed a remarkably robust correlation between the age of American Idol winners and the number of millwrights in Alaska for the years 2004 to 2014. The calculated correlation coefficient of 0.8485794 indicated a strong positive linear relationship, while the r-squared value of 0.7200871 underscored the substantial degree of variability in the number of millwrights that could be explained by the age of American Idol winners. Furthermore, the p-value of less than 0.01 provided compelling evidence of the statistical significance of this association.
Figure 1 illustrates the striking correlation between the age of American Idol winners and the number of millwrights in Alaska, resembling a harmonious duet between variables that one might not expect to share the stage. The scatterplot visually conveys the synchronized rise in the number of millwrights with the advancing age of American Idol winners, akin to a well-coordinated dance routine that defies conventional expectations.
The unexpected nature of this connection beckons one to contemplate the potential influence of popular media events on vocational trends and the intricate interplay of entertainment and occupational demographics. While one might expect to encounter such an unanticipated relationship as frequently as stumbling upon a pair of ice skates in the desert, our findings urge further exploration of the complex forces at play in shaping the cultural and economic landscape of Alaska.
In conclusion, this study sheds light on an improbable linkage between the age of American Idol winners and the number of millwrights in Alaska, prompting further investigation and potentially inspiring a melodious medley of inquiry into the unexpected connections that enrich our understanding of the world.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The results of our study offer compelling support for the previously observed association between the age of American Idol winners and the number of millwrights in Alaska. As noted by Smith et al., the statistically significant correlation uncovered in our research aligns with their initial findings, affirming the robustness of this unusual relationship. This intriguing connection, akin to stumbling upon a synchronized dance routine in a most unexpected setting, underscores the need for continued exploration into the mechanisms that underpin the convergence of popular culture and vocational dynamics.

Drawing on the insights from "Age and Occupation: Unraveling the Mysteries of Vocational Dynamics" by Doe and Jones, our study echoes the intricate interplay between age and vocational choices, albeit within the distinctive context of American Idol winners and the Alaskan millwright population. The unexpected but substantial correlation coefficient highlights the multifaceted nature of individuals' career trajectories and the potential influence of media events on vocational trends. Just as a harmonica solo at a heavy metal concert can captivate and surprise, our findings encourage a deeper examination of the nuanced factors at play in shaping occupational demographics.

Furthermore, our research resonates with the reflections of Brown in "The Economic Implications of Reality Television," shedding light on the far-reaching implications of cultural phenomena on occupational patterns. The pronounced surge in millwrights within the Alaskan workforce, coinciding with the advancing age of American Idol winners, signifies the potential reverberations of popular media on vocational choices, akin to the enduring impact of a chart-topping hit on the airwaves. As Brown insinuates, the economic implications of reality television extend beyond entertainment, permeating into the occupational fabric in unexpected and thought-provoking ways.

In revisiting the whimsical and seemingly tangential literary references encountered in our exploration, such as "The Art of Aging" by Greene and "The Last Frontier: Myth or Reality?" by Stewart, we are reminded of the multifaceted dimensions of our investigation. Just as these texts contribute to the tapestry of our exploration, our study contributes to the scholarly discourse, inviting both serious contemplation and lighthearted reflection on the curious interplay of age, media, and occupational trends.

Ultimately, our foray into the unexpected linkage between the age of American Idol winners and the number of millwrights in Alaska evokes a symphony of inquiry into the unanticipated connections that enrich our understanding of the world. The strength of the statistical association, akin to a well-coordinated dance routine that defies conventional expectations, invites further investigation and sets the stage for future research to unravel the enigmatic ties that bind cultural phenomena and vocational dynamics.


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 Age of American Idol Winner and The number of millwrights in Alaska. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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]]
Aging Idols and Alaskan Artisans: Exploring the Curious Relationship Between American Idol Winners' Age and the Millwright Population in The Last Frontier

[[ABSTRACT]]
This study sought to investigate the perplexing correlation between the age of American Idol winners and the number of millwrights in the state of Alaska. By employing data from Wikipedia and the Bureau of Labor Statistics, a correlation coefficient of 0.8485794 and p < 0.01 was computed for the years 2004 to 2014, highlighting a statistically significant association. Our findings suggest that as the age of the American Idol winner increases, so does the number of millwrights in Alaska. While this connection may seem as unexpected as a harmonica solo at a heavy metal concert, it could provide insight into the cultural and economic dynamics at play. This unexpected relationship may prompt future studies to explore the influence of popular media events on vocational trends and the intricate interplay of entertainment and occupational demographics. In conclusion, our research sheds light on an unusual linkage that may inspire further investigation and, dare we say, a lyrical ode to the unexpected connections in our world.

[[INTRDUCTION]]
The rise of reality television and the unique social and economic dynamics of the state of Alaska have yielded a most unexpected and thought-provoking correlation: the connection between the age of American Idol winners and the number of millwrights in The Last Frontier. In this study, we delve into the uncharted territory of this peculiar relationship, aiming to unravel the enigma that lies beneath this statistically significant association.
While the casual observer may find it as surprising as a polar bear in a tropical rainforest, our investigation revealed a striking correlation coefficient of 0.8485794 and p < 0.01 for the period of 2004 to 2014. The upsurge of millwrights in Alaska appears to march in lockstep with the advancing age of the American Idol winners, akin to a synchronized dance routine on live television. This correlation stands out like a moose in Manhattan, prompting us to delve deeper into the possible factors driving this unexpected linkage.
Our findings not only challenge the conventional wisdom but also raise a symphony of questions in the grand opera of cultural and economic dynamics. Are the crooning champions of American Idol inadvertently shaping the vocational landscape of The Last Frontier? Does "Age and Experience" resonate as much in Alaskan workshops as it does on the Idol stage? These questions, as perplexing as a puzzle in a blizzard, beckon us to ponder the interplay of popular media, entertainment, and vocational trends in a harmonious ensemble.
In the following sections, we will leverage data from Wikipedia and the Bureau of Labor Statistics to elucidate this improbable correlation and unravel its implications. So, buckle up like an Alaskan husky and prepare to embark on a journey through the frosty landscapes of statistical inquiry and unexpected associations that will serve as a wake-up call to the curious and a siren song to the intrepid researcher. Let the adventure begin!

[[RESULTS]]
The findings of this study revealed a remarkably robust correlation between the age of American Idol winners and the number of millwrights in Alaska for the years 2004 to 2014. The calculated correlation coefficient of 0.8485794 indicated a strong positive linear relationship, while the r-squared value of 0.7200871 underscored the substantial degree of variability in the number of millwrights that could be explained by the age of American Idol winners. Furthermore, the p-value of less than 0.01 provided compelling evidence of the statistical significance of this association.
Figure 1 illustrates the striking correlation between the age of American Idol winners and the number of millwrights in Alaska, resembling a harmonious duet between variables that one might not expect to share the stage. The scatterplot visually conveys the synchronized rise in the number of millwrights with the advancing age of American Idol winners, akin to a well-coordinated dance routine that defies conventional expectations.
The unexpected nature of this connection beckons one to contemplate the potential influence of popular media events on vocational trends and the intricate interplay of entertainment and occupational demographics. While one might expect to encounter such an unanticipated relationship as frequently as stumbling upon a pair of ice skates in the desert, our findings urge further exploration of the complex forces at play in shaping the cultural and economic landscape of Alaska.
In conclusion, this study sheds light on an improbable linkage between the age of American Idol winners and the number of millwrights in Alaska, prompting further investigation and potentially inspiring a melodious medley of inquiry into the unexpected connections that enrich our understanding of the world.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our study unravels the enigmatic entanglement between the age of American Idol winners and the number of millwrights in Alaska, shedding light on a correlation as unexpected as a penguin in the Sahara. The statistically robust relationship between these seemingly disparate variables serves as a wake-up call to the curious and a siren song to the intrepid researcher, inviting further exploration into the harmonious interplay of popular media, entertainment, and vocational dynamics.

This unexpected linkage, as surprising as stumbling upon a beehive in a snowstorm, provokes contemplation of the intricate forces steering vocational trends in the frosty landscapes of The Last Frontier. While one might anticipate stumbling upon such an improbable association as often as encountering a polar bear on a skateboard, our findings underscore the need for additional scrutiny into the influence of popular media events on occupational demographics. This study not only challenges conventional wisdom but also raises a symphony of questions in the grand opera of cultural and economic dynamics.

In the words of the immortal bard, "All the world's a stage," and our research suggests that the stage of American Idol may extend its influence to the workshops of Alaska. However, we assert that no further research in this area is needed; after all, delving deeper into this curious correlation might feel as unnecessary as turning on a flashlight in broad daylight.


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 Aging Idols and Alaskan Artisans: Exploring the Curious Relationship Between American Idol Winners' Age and the Millwright Population in The Last Frontier. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Cultural Demographics and Pop Culture Trends


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 Aging Idols and Alaskan Artisans: Exploring the Curious Relationship Between American Idol Winners' Age and the Millwright Population in The Last Frontier. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Ethnographic Studies of American Pop Culture


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 Aging Idols and Alaskan Artisans: Exploring the Curious Relationship Between American Idol Winners' Age and the Millwright Population in The Last Frontier with an abstract of This study sought to investigate the perplexing correlation between the age of American Idol winners and the number of millwrights in the state of Alaska. By employing data from Wikipedia and the Bureau of Labor Statistics, a correlation coefficient of 0.8485794 and p < 0.01 was computed for the years 2004 to 2014, highlighting a statistically significant association. Our findings suggest that as the age of the American Idol winner increases, so does the number of millwrights in Alaska. While this connection may seem as unexpected as a harmonica solo at a heavy metal concert, it could provide insight into the cultural and economic dynamics at play. This unexpected relationship may prompt future studies to explore the influence of popular media events on vocational trends and the intricate interplay of entertainment and occupational demographics. In conclusion, our research sheds light on an unusual linkage that may inspire further investigation and, dare we say, a lyrical ode to the unexpected connections in our world.

ChatGPT:

American Idol winners, age, millwright population, Alaska, correlation, Bureau of Labor Statistics, vocational trends, entertainment influence, occupational demographics

*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.



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Data details

Age of American Idol Winner
Detailed data title: American Idol Winner Age
Source: Wikipedia
See what else correlates with Age of American Idol Winner

The number of millwrights in Alaska
Detailed data title: BLS estimate of millwrights in Alaska
Source: Bureau of Larbor Statistics
See what else correlates with The number of millwrights in Alaska

Correlation r = 0.8485794 (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 = 0.7200871 (Coefficient of determination)
This means 72% of the change in the one variable (i.e., The number of millwrights in Alaska) is predictable based on the change in the other (i.e., Age of American Idol Winner) over the 11 years from 2004 through 2014.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.00096. 0.0009579238597316515000000000
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 0.85 in 0.096% of random cases. Said differently, if you correlated 1,044 random variables Which I absolutely did.
with the same 10 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 10 because we have two variables measured over a period of 11 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.

[ 0.51, 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.
20042005200620072008200920102011201220132014
Age of American Idol Winner (Age Years)1921291725232317212323
The number of millwrights in Alaska (Millwrights)170150220120190150150130150160150




Why this works

  1. Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
  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([19,21,29,17,25,23,23,17,21,23,23,])
array_2 = np.array([170,150,220,120,190,150,150,130,150,160,150,])
array_1_name = "Age of American Idol Winner"
array_2_name = "The number of millwrights in Alaska"

# 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: 1634 · Black Variable ID: 90 · Red Variable ID: 16875
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