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Spurious correlation #4,087 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is The number of painting, coating, and decorating workers in Wisconsin and the second variable is US birth rates of triplets or more.  The chart goes from 2003 to 2021, and the two variables track closely in value over that time. Small Image

AI explanation

The decrease in painting, coating, and decorating workers in Wisconsin has led to fewer instances of 'triple-coating' in households. This has subsequently resulted in a smoother and less fertile environment, reducing the likelihood of multiple births. So, in a way, you could say that the lack of painters in Wisconsin is thinning out the population growth in more ways than one.

Model: dalle-3
Prompt: Prompt: Generate an image that shows the progression of painting in a cozy Wisconsin home, with a twist of unexpected news. In the first scene, a group of smiling, hardworking painters are meticulously applying fresh coats of paint to the walls. The atmosphere is warm and inviting, with the mother relaxing on the couch, surrounded by giggling triplets. The painters skillfully add the final coat, leaving the walls smooth and flawless. In the following scene, the number of painters decreases, leaving the walls uneven and unfinished. The mother's worried expression reveals her concern as she receives the news of an upcoming delivery of just one baby. Capture the emotional journey from bustling productivity to unexpected change in a simple, yet captivating visual. 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: The number of painting, coating, and decorating workers in Wisconsin and US birth rates of triplets or more. 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: Glitch art Cute cartoon An image that looks like it is a scene from A Disney Movie Whimsical illustration a funny image you would see on reddit
ChatGPT: a funny image you would see on reddit

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 The number of painting, coating, and decorating workers in Wisconsin and US birth rates of triplets or more, in the following situation: The decrease in painting, coating, and decorating workers in Wisconsin has led to fewer instances of 'triple-coating' in households. This has subsequently resulted in a smoother and less fertile environment, reducing the likelihood of multiple births. So, in a way, you could say that the lack of painters in Wisconsin is thinning out the population growth in more ways than one.. Keep the description simple.
ChatGPT: In a cozy Wisconsin home, a group of painting, coating, and decorating workers are busy applying layers of fresh paint to the walls. As they work, a mother rests on the couch, surrounded by happy, giggling triplets. The painters add another coat of paint, creating a smooth, flawless finish on the walls. In the next scene, the number of painting, coating, and decorating workers in Wisconsin decreases, and the walls remain unpainted and uneven. The mother, now expectant, looks worried as she receives news of her upcoming delivery of just one baby.

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 funny image you would see on reddit ] and depicting this scene: In a cozy Wisconsin home, a group of painting, coating, and decorating workers are busy applying layers of fresh paint to the walls. As they work, a mother rests on the couch, surrounded by happy, giggling triplets. The painters add another coat of paint, creating a smooth, flawless finish on the walls. In the next scene, the number of painting, coating, and decorating workers in Wisconsin decreases, and the walls remain unpainted and uneven. The mother, now expectant, looks worried as she receives news of her upcoming delivery of just one baby. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Prompt: Generate an image that shows the progression of painting in a cozy Wisconsin home, with a twist of unexpected news. In the first scene, a group of smiling, hardworking painters are meticulously applying fresh coats of paint to the walls. The atmosphere is warm and inviting, with the mother relaxing on the couch, surrounded by giggling triplets. The painters skillfully add the final coat, leaving the walls smooth and flawless. In the following scene, the number of painters decreases, leaving the walls uneven and unfinished. The mother's worried expression reveals her concern as she receives the news of an upcoming delivery of just one baby. Capture the emotional journey from bustling productivity to unexpected change in a simple, yet captivating visual.

*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 a decrease in The number of painting, coating, and decorating workers in Wisconsin caused US birth rates of triplets or more to decrease.\Make it sound serious until the end.

AI academic paper

(Because p < 0.01)
Stroke of Luck: The Painters' Paradox - A Correlation between Painting, Coating, and Decorating Workers in Wisconsin and US Birth Rates of Triplets or More

The Journal of Unconventional Correlations

Jan 2024
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 The number of painting, coating, and decorating workers in Wisconsin and US birth rates of triplets or more. Make lots of jokes, goofy observations, and puns.

Include a pun in the title.

Your research team used data from Bureau of Larbor Statistics and CDC to assess this nagging question. You found a correlation coefficient of 0.9510486 and p < 0.01 for 2003 to 2021.

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]]
Stroke of Luck: The Painters' Paradox - A Correlation between Painting, Coating, and Decorating Workers in Wisconsin and US Birth Rates of Triplets or More

[[ABSTRACT]]
The age-old debate of whether painting, coating, and decorating workers in Wisconsin have any influence on the birth rates of triplets or more in the United States has finally been addressed. In this quirky study, we employ data from the Bureau of Labor Statistics and the Centers for Disease Control and Prevention to explore this seemingly bizarre connection. Unveiling a correlation coefficient of 0.9510486 and p-value less than 0.01 for the period spanning from 2003 to 2021, our research has dug deep into the canvas of the labor force and its potential impact on fertility trends. Join us as we brushstroke by brushstroke uncover the surprising interplay between the world of trusted rollers and brushes, and the delight of an unexpected triple bundle. So, get ready to coat yourself in knowledge and color your curiosity with our fascinating findings!


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 The number of painting, coating, and decorating workers in Wisconsin and US birth rates of triplets or more. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Here is the title and abstract of the paper:
[[TITLE]]
Stroke of Luck: The Painters' Paradox - A Correlation between Painting, Coating, and Decorating Workers in Wisconsin and US Birth Rates of Triplets or More

[[ABSTRACT]]
The age-old debate of whether painting, coating, and decorating workers in Wisconsin have any influence on the birth rates of triplets or more in the United States has finally been addressed. In this quirky study, we employ data from the Bureau of Labor Statistics and the Centers for Disease Control and Prevention to explore this seemingly bizarre connection. Unveiling a correlation coefficient of 0.9510486 and p-value less than 0.01 for the period spanning from 2003 to 2021, our research has dug deep into the canvas of the labor force and its potential impact on fertility trends. Join us as we brushstroke by brushstroke uncover the surprising interplay between the world of trusted rollers and brushes, and the delight of an unexpected triple bundle. So, get ready to coat yourself in knowledge and color your curiosity with our fascinating findings!

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

Welcome, esteemed readers, to a study that promises to be a stroke of insight into a most peculiar connection – the enigmatic relationship between the number of painting, coating, and decorating workers in Wisconsin and the birth rates of triplets or more in the United States. As we embark on this journey, we invite you to don your statistical spectacles and prepare for a colorful exploration of an unexpected correlation that may just paint a new picture of causation in the world of birth statistics.

In the vast gallery of scientific inquiries, it is not uncommon to stumble upon unexpected and even comical associations. However, the link between the application of enamel, varnish, or paint and the occurrence of trios of tiny humans is a canvas brimming with curiosity and intrigue. One might even say that this apparent correlation is more than a mere "coincidence," as elusive as it may initially seem.

The pursuit of knowledge often leads us to brush against the unconventional and the unexplored. Our investigation draws inspiration from this spirit of discovery and seeks to peel back the layers of this peculiar association, all the while resisting the temptation to resort to idle "paint-by-number" interpretations or a "one-coat-fits-all" approach to our analysis.

Now, before we dive deep into the realm of labor statistics and birth rates, it's important to heed the cautionary tale of correlation not implying causation. We must approach our findings with the precision of a fine-tipped brush and the skepticism of an art critic examining a controversial masterpiece.

In the grand symphony of statistical analysis, we aim to strike a chord that resonates with scientific curiosity and quirkiness, illuminating the potential interplay between professions that "cover all bases" and the rare, but delightful, arrival of bundles of joy that "painted" a unique picture of family dynamics. So, hold on to your paintbrushes, because we're about to embark on a journey that's bound to challenge conventional wisdom and sprinkle a touch of unpredictability onto the canvas of statistical research.


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 The number of painting, coating, and decorating workers in Wisconsin and US birth rates of triplets or more. Make lots of jokes, goofy observations, and puns.

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

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

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

Here is the title and abstract of the paper:
[[TITLE]]
Stroke of Luck: The Painters' Paradox - A Correlation between Painting, Coating, and Decorating Workers in Wisconsin and US Birth Rates of Triplets or More

[[ABSTRACT]]
The age-old debate of whether painting, coating, and decorating workers in Wisconsin have any influence on the birth rates of triplets or more in the United States has finally been addressed. In this quirky study, we employ data from the Bureau of Labor Statistics and the Centers for Disease Control and Prevention to explore this seemingly bizarre connection. Unveiling a correlation coefficient of 0.9510486 and p-value less than 0.01 for the period spanning from 2003 to 2021, our research has dug deep into the canvas of the labor force and its potential impact on fertility trends. Join us as we brushstroke by brushstroke uncover the surprising interplay between the world of trusted rollers and brushes, and the delight of an unexpected triple bundle. So, get ready to coat yourself in knowledge and color your curiosity with our fascinating findings!

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
Welcome, esteemed readers, to a study that promises to be a stroke of insight into a most peculiar connection – the enigmatic relationship between the number of painting, coating, and decorating workers in Wisconsin and the birth rates of triplets or more in the United States. As we embark on this journey, we invite you to don your statistical spectacles and prepare for a colorful exploration of an unexpected correlation that may just paint a new picture of causation in the world of birth statistics.
In the vast gallery of scientific inquiries, it is not uncommon to stumble upon unexpected and even comical associations. However, the link between the application of enamel, varnish, or paint and the occurrence of trios of tiny humans is a canvas brimming with curiosity and intrigue. One might even say that this apparent correlation is more than a mere "coincidence," as elusive as it may initially seem.
The pursuit of knowledge often leads us to brush against the unconventional and the unexplored. Our investigation draws inspiration from this spirit of discovery and seeks to peel back the layers of this peculiar association, all the while resisting the temptation to resort to idle "paint-by-number" interpretations or a "one-coat-fits-all" approach to our analysis.
Now, before we dive deep into the realm of labor statistics and birth rates, it's important to heed the cautionary tale of correlation not implying causation. We must approach our findings with the precision of a fine-tipped brush and the skepticism of an art critic examining a controversial masterpiece.
In the grand symphony of statistical analysis, we aim to strike a chord that resonates with scientific curiosity and quirkiness, illuminating the potential interplay between professions that "cover all bases" and the rare, but delightful, arrival of bundles of joy that "painted" a unique picture of family dynamics. So, hold on to your paintbrushes, because we're about to embark on a journey that's bound to challenge conventional wisdom and sprinkle a touch of unpredictability onto the canvas of statistical research.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

As we delve into the colorful world of painting, coating, and decorating workers in Wisconsin and their potential influence on the birth rates of triplets or more in the United States, it is imperative to paint a comprehensive picture of the existing literature on this whimsical topic. Our literature survey has meticulously canvassed a range of scholarly articles, statistical reports, and labor market analyses, seeking to shed light on this unexpected correlation and percolate through the layers of abstract interpretations.

In "Brush Strokes and Birth Rates: A Statistical Analysis," Smith et al. surveyed national labor statistics and birth records, uncovering a nuanced association between the number of painting professionals in various states and the incidence of multiple births. While their findings initially provided a mere glimpse into this perplexing relationship, their approach served as a primer on the subject, urging us to dig deeper into the palette of possibilities.

Building upon this foundation, Doe and Jones, in their seminal work "The Chromatic Conundrum: Exploring Occupational Constructs and Fertility Dilemmas," offered a more nuanced portrayal of the interplay between the labor force and fertility trends. Their comprehensive analysis spanned industries from pigment production to wall finishing, leaving little room for colorless conjecture and showcasing the vast spectrum of factors potentially influencing the birth of multiples.

Turning to non-fiction literature, "The Art of Fecundity: A Comparative Study of Creative Professions and Multiple Birth Rates" by Artisan captures the subtleties of this enigmatic association, intertwining the world of artistic expression with the marvels of human fertility. Meanwhile, "The Colorful Conception: A Palette of Paradoxes" by Painterly Poets mirrors the interwoven threads of creativity and procreation, musing upon the profound implications of brushes and bundles gracing the same canvas.

Now, at the risk of veering into the realm of whimsy, our literature review would be remiss without acknowledging the unconventional sources that have inadvertently contributed to our understanding of this peculiar association. While conducting our exhaustive review, we stumbled upon the tantalizing blurbs adorning the backs of paint cans and the capricious musings on the labels of varnish bottles, leaving us to ponder the clandestine wisdom concealed within these seemingly mundane canvases of commercial products.

By incorporating these diverse works into our analysis, we aim to evoke a sense of lighthearted curiosity and mirth, paving the way for a spirited exploration of the unexpected links between the domain of painting, coating, and decorating and the emergence of trios of tiny tots. With this playful approach, we endeavor to color the academic landscape with a dash of whimsy, infusing scholarly discourse with a tinge of levity and capturing the imagination of our audience as we embark on this offbeat, yet delightful, scholarly endeavor.


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 The number of painting, coating, and decorating workers in Wisconsin and US birth rates of triplets or more. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from Bureau of Larbor Statistics and CDC . You used data from 2003 to 2021

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]]
Stroke of Luck: The Painters' Paradox - A Correlation between Painting, Coating, and Decorating Workers in Wisconsin and US Birth Rates of Triplets or More

[[ABSTRACT]]
The age-old debate of whether painting, coating, and decorating workers in Wisconsin have any influence on the birth rates of triplets or more in the United States has finally been addressed. In this quirky study, we employ data from the Bureau of Labor Statistics and the Centers for Disease Control and Prevention to explore this seemingly bizarre connection. Unveiling a correlation coefficient of 0.9510486 and p-value less than 0.01 for the period spanning from 2003 to 2021, our research has dug deep into the canvas of the labor force and its potential impact on fertility trends. Join us as we brushstroke by brushstroke uncover the surprising interplay between the world of trusted rollers and brushes, and the delight of an unexpected triple bundle. So, get ready to coat yourself in knowledge and color your curiosity with our fascinating findings!

[[INTRODUCTION]]
Welcome, esteemed readers, to a study that promises to be a stroke of insight into a most peculiar connection – the enigmatic relationship between the number of painting, coating, and decorating workers in Wisconsin and the birth rates of triplets or more in the United States. As we embark on this journey, we invite you to don your statistical spectacles and prepare for a colorful exploration of an unexpected correlation that may just paint a new picture of causation in the world of birth statistics.
In the vast gallery of scientific inquiries, it is not uncommon to stumble upon unexpected and even comical associations. However, the link between the application of enamel, varnish, or paint and the occurrence of trios of tiny humans is a canvas brimming with curiosity and intrigue. One might even say that this apparent correlation is more than a mere "coincidence," as elusive as it may initially seem.
The pursuit of knowledge often leads us to brush against the unconventional and the unexplored. Our investigation draws inspiration from this spirit of discovery and seeks to peel back the layers of this peculiar association, all the while resisting the temptation to resort to idle "paint-by-number" interpretations or a "one-coat-fits-all" approach to our analysis.
Now, before we dive deep into the realm of labor statistics and birth rates, it's important to heed the cautionary tale of correlation not implying causation. We must approach our findings with the precision of a fine-tipped brush and the skepticism of an art critic examining a controversial masterpiece.
In the grand symphony of statistical analysis, we aim to strike a chord that resonates with scientific curiosity and quirkiness, illuminating the potential interplay between professions that "cover all bases" and the rare, but delightful, arrival of bundles of joy that "painted" a unique picture of family dynamics. So, hold on to your paintbrushes, because we're about to embark on a journey that's bound to challenge conventional wisdom and sprinkle a touch of unpredictability onto the canvas of statistical research.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

In our pursuit of deciphering the elusive connection between the number of painting, coating, and decorating workers in Wisconsin and the birth rates of triplets or more in the United States, our methodology was as meticulous as an artist delicately mixing primary colors to create a masterpiece. We harnessed the power of data extraction and statistical analysis to illuminate this enigmatic relationship, channeling our inner Picassos to sketch out a framework that would capture the essence of this unconventional inquiry.

To begin our odyssey through the labyrinth of data, we summoned the Bureau of Labor Statistics as our trusty muse, gathering information on the employment figures for painting, coating, and decorating workers in the scenic state of Wisconsin over the years 2003 to 2021. Like a painter meticulously selecting the finest brushes and canvases for a masterpiece, we meticulously combed through the data, ensuring that each stroke of information was captured with precision. Our quest for the birth rates of triplets or more across the United States led us to the colorful palette of the Centers for Disease Control and Prevention, where we carefully retrieved data spanning the same timeframe to complement our employment figures.

With our data brushes in hand and a canvas of statistical software at our disposal, we wielded the magic of regression analysis to unravel the threads of correlation weaving through our variables. Like alchemists of statistical inquiry, we stirred the cauldron of our dataset and applied the transformative power of statistical tools to distill meaningful insights from the sea of numbers before us. Through the artistry of regression modeling, we sought to capture both the trend and the magnitude of the potential relationship, considering intricate nuances as delicately as an artist adding the subtlest shades to their composition.

As the aura of correlation manifested within our data, we conscientiously scrutinized the robustness of our findings, ensuring that our stroke of statistical fortune was not merely a reflection of happenstance. To this end, we emboldened our inquiry with hypothesis testing, interrogating our results with the vigor of a courtroom cross-examination. With our p-values and confidence intervals serving as the scales of justice, we endeavored to separate the whimsical mirage of spurious correlation from the weighty substance of a meaningful relationship.

In this journey of unveiling the intriguing dance between the labor force and the occurrence of triplet births, we navigated the vast landscape of statistical inquiry with the intrepid spirit of explorers charting uncharted territories. Like astronomers surveying the cosmos for celestial patterns, we peered into the tapestry of our data, seeking constellations of association that might defy traditional expectations. And, as with any artful creation, we remained mindful of the potential for serendipitous discoveries and unexpected revelations, ever ready to celebrate the whimsical nature of statistical inquiry.

In unveiling the secrets of this peculiar correlation, our methodology embraced the fusion of precision and whimsy, showcasing the unexpected harmony that arises when statistical analysis meets the quirkiness of unconventional explorations. With a flair for both scientific rigor and playful curiosity, our methodology encapsulated the very essence of this endeavor – a journey that transformed the seemingly mundane into a work of colorful intrigue in the grand gallery of scientific 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 The number of painting, coating, and decorating workers in Wisconsin and US birth rates of triplets or more. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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

For the time period 2003 to 2021, you found a correlation 0.9510486, r-squared of 0.9044935, 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]]
Stroke of Luck: The Painters' Paradox - A Correlation between Painting, Coating, and Decorating Workers in Wisconsin and US Birth Rates of Triplets or More

[[ABSTRACT]]
The age-old debate of whether painting, coating, and decorating workers in Wisconsin have any influence on the birth rates of triplets or more in the United States has finally been addressed. In this quirky study, we employ data from the Bureau of Labor Statistics and the Centers for Disease Control and Prevention to explore this seemingly bizarre connection. Unveiling a correlation coefficient of 0.9510486 and p-value less than 0.01 for the period spanning from 2003 to 2021, our research has dug deep into the canvas of the labor force and its potential impact on fertility trends. Join us as we brushstroke by brushstroke uncover the surprising interplay between the world of trusted rollers and brushes, and the delight of an unexpected triple bundle. So, get ready to coat yourself in knowledge and color your curiosity with our fascinating findings!

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
Welcome, esteemed readers, to a study that promises to be a stroke of insight into a most peculiar connection – the enigmatic relationship between the number of painting, coating, and decorating workers in Wisconsin and the birth rates of triplets or more in the United States. As we embark on this journey, we invite you to don your statistical spectacles and prepare for a colorful exploration of an unexpected correlation that may just paint a new picture of causation in the world of birth statistics.
In the vast gallery of scientific inquiries, it is not uncommon to stumble upon unexpected and even comical associations. However, the link between the application of enamel, varnish, or paint and the occurrence of trios of tiny humans is a canvas brimming with curiosity and intrigue. One might even say that this apparent correlation is more than a mere "coincidence," as elusive as it may initially seem.
The pursuit of knowledge often leads us to brush against the unconventional and the unexplored. Our investigation draws inspiration from this spirit of discovery and seeks to peel back the layers of this peculiar association, all the while resisting the temptation to resort to idle "paint-by-number" interpretations or a "one-coat-fits-all" approach to our analysis.
Now, before we dive deep into the realm of labor statistics and birth rates, it's important to heed the cautionary tale of correlation not implying causation. We must approach our findings with the precision of a fine-tipped brush and the skepticism of an art critic examining a controversial masterpiece.
In the grand symphony of statistical analysis, we aim to strike a chord that resonates with scientific curiosity and quirkiness, illuminating the potential interplay between professions that "cover all bases" and the rare, but delightful, arrival of bundles of joy that "painted" a unique picture of family dynamics. So, hold on to your paintbrushes, because we're about to embark on a journey that's bound to challenge conventional wisdom and sprinkle a touch of unpredictability onto the canvas of statistical research.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

In delving deep into the quirky correlation between the number of painting, coating, and decorating workers in Wisconsin and US birth rates of triplets or more, we stumbled upon a surprising stroke of statistical luck. After sifting through the treasure troves of data from the Bureau of Labor Statistics and the Centers for Disease Control and Prevention, we found a correlation coefficient of 0.9510486, indicating a remarkably strong relationship between these seemingly unrelated variables.

Furthermore, with an r-squared value of 0.9044935, our analysis suggests that over 90% of the variation in the birth rates of triplets or more can be explained by the fluctuations in the number of individuals wielding brushes and rollers in the Badger State. Remarkably enough, our findings also revealed a p-value of less than 0.01, providing robust evidence against the null hypothesis and highlighting the significance of this unexpected connection.

A figure (Fig. 1) included herein showcases a scatterplot that beautifully captures the robustness of this correlation. So, hold on to your palettes as we navigate the mesmerizing interplay between the world of paint and birth rates, where statistical significance meets unexpected mischief.


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 The number of painting, coating, and decorating workers in Wisconsin and US birth rates of triplets or more. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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]]
Stroke of Luck: The Painters' Paradox - A Correlation between Painting, Coating, and Decorating Workers in Wisconsin and US Birth Rates of Triplets or More

[[ABSTRACT]]
The age-old debate of whether painting, coating, and decorating workers in Wisconsin have any influence on the birth rates of triplets or more in the United States has finally been addressed. In this quirky study, we employ data from the Bureau of Labor Statistics and the Centers for Disease Control and Prevention to explore this seemingly bizarre connection. Unveiling a correlation coefficient of 0.9510486 and p-value less than 0.01 for the period spanning from 2003 to 2021, our research has dug deep into the canvas of the labor force and its potential impact on fertility trends. Join us as we brushstroke by brushstroke uncover the surprising interplay between the world of trusted rollers and brushes, and the delight of an unexpected triple bundle. So, get ready to coat yourself in knowledge and color your curiosity with our fascinating findings!

[[LITERATURE REVIEW]]
As we delve into the colorful world of painting, coating, and decorating workers in Wisconsin and their potential influence on the birth rates of triplets or more in the United States, it is imperative to paint a comprehensive picture of the existing literature on this whimsical topic. Our literature survey has meticulously canvassed a range of scholarly articles, statistical reports, and labor market analyses, seeking to shed light on this unexpected correlation and percolate through the layers of abstract interpretations.
In "Brush Strokes and Birth Rates: A Statistical Analysis," Smith et al. surveyed national labor statistics and birth records, uncovering a nuanced association between the number of painting professionals in various states and the incidence of multiple births. While their findings initially provided a mere glimpse into this perplexing relationship, their approach served as a primer on the subject, urging us to dig deeper into the palette of possibilities.
Building upon this foundation, Doe and Jones, in their seminal work "The Chromatic Conundrum: Exploring Occupational Constructs and Fertility Dilemmas," offered a more nuanced portrayal of the interplay between the labor force and fertility trends. Their comprehensive analysis spanned industries from pigment production to wall finishing, leaving little room for colorless conjecture and showcasing the vast spectrum of factors potentially influencing the birth of multiples.
Turning to non-fiction literature, "The Art of Fecundity: A Comparative Study of Creative Professions and Multiple Birth Rates" by Artisan captures the subtleties of this enigmatic association, intertwining the world of artistic expression with the marvels of human fertility. Meanwhile, "The Colorful Conception: A Palette of Paradoxes" by Painterly Poets mirrors the interwoven threads of creativity and procreation, musing upon the profound implications of brushes and bundles gracing the same canvas.
Now, at the risk of veering into the realm of whimsy, our literature review would be remiss without acknowledging the unconventional sources that have inadvertently contributed to our understanding of this peculiar association. While conducting our exhaustive review, we stumbled upon the tantalizing blurbs adorning the backs of paint cans and the capricious musings on the labels of varnish bottles, leaving us to ponder the clandestine wisdom concealed within these seemingly mundane canvases of commercial products.
By incorporating these diverse works into our analysis, we aim to evoke a sense of lighthearted curiosity and mirth, paving the way for a spirited exploration of the unexpected links between the domain of painting, coating, and decorating and the emergence of trios of tiny tots. With this playful approach, we endeavor to color the academic landscape with a dash of whimsy, infusing scholarly discourse with a tinge of levity and capturing the imagination of our audience as we embark on this offbeat, yet delightful, scholarly endeavor.

[[RESULTS]]
In delving deep into the quirky correlation between the number of painting, coating, and decorating workers in Wisconsin and US birth rates of triplets or more, we stumbled upon a surprising stroke of statistical luck. After sifting through the treasure troves of data from the Bureau of Labor Statistics and the Centers for Disease Control and Prevention, we found a correlation coefficient of 0.9510486, indicating a remarkably strong relationship between these seemingly unrelated variables.
Furthermore, with an r-squared value of 0.9044935, our analysis suggests that over 90% of the variation in the birth rates of triplets or more can be explained by the fluctuations in the number of individuals wielding brushes and rollers in the Badger State. Remarkably enough, our findings also revealed a p-value of less than 0.01, providing robust evidence against the null hypothesis and highlighting the significance of this unexpected connection.
A figure (Fig. 1) included herein showcases a scatterplot that beautifully captures the robustness of this correlation. So, hold on to your palettes as we navigate the mesmerizing interplay between the world of paint and birth rates, where statistical significance meets unexpected mischief.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

Ladies and gentlemen, brace yourselves for a discussion that’s going to make you see the world of painting, coating, and decorating in a whole new light—a rainbow of statistical significance, if you will! Our findings have not only transformed the canvas of conventional wisdom but have also unfurled a tapestry of tantalizing revelations that challenge the boundaries of empirical inquiry.

The results of our study have not only validated earlier research but have also painted a clearer picture of the intricate relationship between the number of painting, coating, and decorating workers in Wisconsin and the birth rates of triplets or more in the United States. It’s as if our data were the vibrant pigments illuminating a previously opaque landscape of statistics, and our analysis has given birth to a cornucopia of colorful insights!

Revisiting our whimsical literature review, we are now compelled to view the playfully presented predictions and puns through a new lens - for, what was once mere banter on the back of a paint can has now become a serious subject requiring further academic scrutiny. The statistical association unveiled in our research not only affirms the speculations of the merry musings on the labels of varnish bottles but also adds a layer of credibility to the enchanting blurbs adorning the backs of paint cans.

Now, the fact that our correlation coefficient boasts a value of 0.9510486 suggests a robust connection that is certainly nothing to brush off. What might have been interpreted as a mere stroke of luck is truly a testament to the profound impact of the labor force on the birth rates of multiples. Talk about a surprising twist in the tale of statistical inquiry!

In summary, our discussion paves the way for a new era of scholarly merriment that combines empirical rigor with a palette of playful exploration. We are confident that this study sets the stage for future research to dive even deeper into the playful paradox of workers and multiples, infusing academic discourse with not only robust statistical evidence but also a dash of unexpected mischief. So, here’s to the colorful confluence of statistics and whimsy, where the art of inquiry meets the laughter of discovery!


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 The number of painting, coating, and decorating workers in Wisconsin and US birth rates of triplets or more. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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]]
Stroke of Luck: The Painters' Paradox - A Correlation between Painting, Coating, and Decorating Workers in Wisconsin and US Birth Rates of Triplets or More

[[ABSTRACT]]
The age-old debate of whether painting, coating, and decorating workers in Wisconsin have any influence on the birth rates of triplets or more in the United States has finally been addressed. In this quirky study, we employ data from the Bureau of Labor Statistics and the Centers for Disease Control and Prevention to explore this seemingly bizarre connection. Unveiling a correlation coefficient of 0.9510486 and p-value less than 0.01 for the period spanning from 2003 to 2021, our research has dug deep into the canvas of the labor force and its potential impact on fertility trends. Join us as we brushstroke by brushstroke uncover the surprising interplay between the world of trusted rollers and brushes, and the delight of an unexpected triple bundle. So, get ready to coat yourself in knowledge and color your curiosity with our fascinating findings!

[[INTRDUCTION]]
Welcome, esteemed readers, to a study that promises to be a stroke of insight into a most peculiar connection – the enigmatic relationship between the number of painting, coating, and decorating workers in Wisconsin and the birth rates of triplets or more in the United States. As we embark on this journey, we invite you to don your statistical spectacles and prepare for a colorful exploration of an unexpected correlation that may just paint a new picture of causation in the world of birth statistics.
In the vast gallery of scientific inquiries, it is not uncommon to stumble upon unexpected and even comical associations. However, the link between the application of enamel, varnish, or paint and the occurrence of trios of tiny humans is a canvas brimming with curiosity and intrigue. One might even say that this apparent correlation is more than a mere "coincidence," as elusive as it may initially seem.
The pursuit of knowledge often leads us to brush against the unconventional and the unexplored. Our investigation draws inspiration from this spirit of discovery and seeks to peel back the layers of this peculiar association, all the while resisting the temptation to resort to idle "paint-by-number" interpretations or a "one-coat-fits-all" approach to our analysis.
Now, before we dive deep into the realm of labor statistics and birth rates, it's important to heed the cautionary tale of correlation not implying causation. We must approach our findings with the precision of a fine-tipped brush and the skepticism of an art critic examining a controversial masterpiece.
In the grand symphony of statistical analysis, we aim to strike a chord that resonates with scientific curiosity and quirkiness, illuminating the potential interplay between professions that "cover all bases" and the rare, but delightful, arrival of bundles of joy that "painted" a unique picture of family dynamics. So, hold on to your paintbrushes, because we're about to embark on a journey that's bound to challenge conventional wisdom and sprinkle a touch of unpredictability onto the canvas of statistical research.

[[RESULTS]]
In delving deep into the quirky correlation between the number of painting, coating, and decorating workers in Wisconsin and US birth rates of triplets or more, we stumbled upon a surprising stroke of statistical luck. After sifting through the treasure troves of data from the Bureau of Labor Statistics and the Centers for Disease Control and Prevention, we found a correlation coefficient of 0.9510486, indicating a remarkably strong relationship between these seemingly unrelated variables.
Furthermore, with an r-squared value of 0.9044935, our analysis suggests that over 90% of the variation in the birth rates of triplets or more can be explained by the fluctuations in the number of individuals wielding brushes and rollers in the Badger State. Remarkably enough, our findings also revealed a p-value of less than 0.01, providing robust evidence against the null hypothesis and highlighting the significance of this unexpected connection.
A figure (Fig. 1) included herein showcases a scatterplot that beautifully captures the robustness of this correlation. So, hold on to your palettes as we navigate the mesmerizing interplay between the world of paint and birth rates, where statistical significance meets unexpected mischief.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In the grand finale of this whimsical odyssey through the nexus of painting, coating, and decorating workers in Wisconsin and the birth rates of triplets or more in the United States, our findings have painted a picture worth more than a thousand words – though we've got plenty of those too! Our research uncovered a correlation so strong, it's as if the statistical gods were Bob Ross himself, blessing our data with happy little accidents.

But before we go splattering paint on conclusions, it's crucial to remember that correlation does not imply causation. We wouldn't want to jump to wild conclusions and start recommending a fresh coat of paint as a fertility treatment! Though, the image of decorating workers moonlighting as fertility specialists does induce a chuckle.

As we wrap up this colorful journey, it's evident that no more research is needed – our results speak for themselves. This oddball connection between brush-wielding artisans and bundles of joy has left us with a canvas of statistical wonder, and we are content to let this quirky correlation stand as a testament to the delightful unpredictability of the world of research. So, let's hang up our lab coats and call it a day, for we've certainly struck gold with this stroke of luck!


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 Stroke of Luck: The Painters' Paradox - A Correlation between Painting, Coating, and Decorating Workers in Wisconsin and US Birth Rates of Triplets or More. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Unconventional Correlations


Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of nonprofit research organizations and associations. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding nonprofit, academic, or scientific association or organization that would sponsor research that resulted in a paper entited Stroke of Luck: The Painters' Paradox - A Correlation between Painting, Coating, and Decorating Workers in Wisconsin and US Birth Rates of Triplets or More. Respond only with the name of a fictional organization.

ChatGPT:

The Academy of Artistic Occupational Studies


Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled Stroke of Luck: The Painters' Paradox - A Correlation between Painting, Coating, and Decorating Workers in Wisconsin and US Birth Rates of Triplets or More with an abstract of The age-old debate of whether painting, coating, and decorating workers in Wisconsin have any influence on the birth rates of triplets or more in the United States has finally been addressed. In this quirky study, we employ data from the Bureau of Labor Statistics and the Centers for Disease Control and Prevention to explore this seemingly bizarre connection. Unveiling a correlation coefficient of 0.9510486 and p-value less than 0.01 for the period spanning from 2003 to 2021, our research has dug deep into the canvas of the labor force and its potential impact on fertility trends. Join us as we brushstroke by brushstroke uncover the surprising interplay between the world of trusted rollers and brushes, and the delight of an unexpected triple bundle. So, get ready to coat yourself in knowledge and color your curiosity with our fascinating findings!

ChatGPT:

painting workers, coating workers, decorating workers, Wisconsin, birth rates, triplets, United States, correlation, data analysis

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



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Data details

The number of painting, coating, and decorating workers in Wisconsin
Detailed data title: BLS estimate of painting, coating, and decorating workers in Wisconsin
Source: Bureau of Larbor Statistics
See what else correlates with The number of painting, coating, and decorating workers in Wisconsin

US birth rates of triplets or more
Source: CDC
See what else correlates with US birth rates of triplets or more

Correlation r = 0.9510486 (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 = 0.9044935 (Coefficient of determination)
This means 90.4% of the change in the one variable (i.e., US birth rates of triplets or more) is predictable based on the change in the other (i.e., The number of painting, coating, and decorating workers in Wisconsin) over the 19 years from 2003 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 4.3E-10. 0.0000000004266054252344749700
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 0.95 in 4.3E-8% of random cases. Said differently, if you correlated 2,344,086,458 random variables You don't actually need 2 billion variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.

p-value calculations are useful for understanding the probability of a result happening by chance. They are most useful when used to highlight the risk of a fluke outcome. For example, if you calculate a p-value of 0.30, the risk that the result is a fluke is high. It is good to know that! But there are lots of ways to get a p-value of less than 0.01, as evidenced by this project.

In this particular case, the values are so extreme as to be meaningless. That's why no one reports p-values with specificity after they drop below 0.01.

Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 18 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 18 because we have two variables measured over a period of 19 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.

[ 0.87, 0.98 ] 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.
2003200420052006200720082009201020112012201320142015201620172018201920202021
The number of painting, coating, and decorating workers in Wisconsin (Laborers)149010107907908507906905804603302802101801008070809050
US birth rates of triplets or more (Birth rate per 100,000)186180170156151148152138137124.4119.5113.5103.6101.4101.69387.779.680




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.
  4. Y-axis doesn't start at zero: I truncated the Y-axes of the graph above. I also used a line graph, which makes the visual connection stand out more than it deserves. Nothing against line graphs. They are great at telling a story when you have linear data! But visually it is deceptive because the only data is at the points on the graph, not the lines on the graph. In between each point, the data could have been doing anything. Like going for a random walk by itself!
    Mathematically what I showed is true, but it is intentionally misleading. Below is the same chart but with both Y-axes starting at zero.




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([1490,1010,790,790,850,790,690,580,460,330,280,210,180,100,80,70,80,90,50,])
array_2 = np.array([186,180,170,156,151,148,152,138,137,124.4,119.5,113.5,103.6,101.4,101.6,93,87.7,79.6,80,])
array_1_name = "The number of painting, coating, and decorating workers in Wisconsin"
array_2_name = "US birth rates of triplets or more"

# 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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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: 4087 · Black Variable ID: 16376 · Red Variable ID: 55
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