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AI explanation
The increase in shoe and leather workers and repairers in Maine led to a surge in 'how to hide a body' Google searches because people realized they had the skills to make it look like the body had simply walked away. It seems the demand for soleful solutions to this dilemma was on the rise!Model: dalle-3
Prompt: Generate an image that combines the epic fantasy world of Skyrim with the quaint reality of a small Maine workshop. Show a group of skilled craftsmen and women, surrounded by aging tools, carefully restoring and creating leather shoes. Amidst them, a figure at a computer, visibly agitated, frantically searching for unconventional ways to dispose of their old shoes. The contrast between the mundane workshop and the dramatic online search should be striking and thought-provoking. 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 shoe and leather workers and repairers in Maine and Google searches for 'how to hide a body'. 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: Cute cartoon Charcoal Cybernetic art A scene from Skyrim Surrealism
ChatGPT: A scene from Skyrim
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 shoe and leather workers and repairers in Maine and Google searches for 'how to hide a body', in the following situation: Because as the number of shoe and leather workers and repairers in Maine decreases, people realize they need to find creative ways to dispose of their old shoes, and what better way than to hide them with a body? Thus, prompting an increase in searches for 'how to hide a body.'. Keep the description simple.
ChatGPT: In a small workshop in Maine, a few shoe and leather workers and repairers diligently work on repairing worn-out shoes and crafting new ones. Meanwhile, nearby, a person sits at a computer, frantically typing into Google "how to hide a body" as they contemplate creatively disposing of their old shoes.
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 scene from Skyrim ] and depicting this scene: In a small workshop in Maine, a few shoe and leather workers and repairers diligently work on repairing worn-out shoes and crafting new ones. Meanwhile, nearby, a person sits at a computer, frantically typing into Google "how to hide a body" as they contemplate creatively disposing of their old shoes. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image that combines the epic fantasy world of Skyrim with the quaint reality of a small Maine workshop. Show a group of skilled craftsmen and women, surrounded by aging tools, carefully restoring and creating leather shoes. Amidst them, a figure at a computer, visibly agitated, frantically searching for unconventional ways to dispose of their old shoes. The contrast between the mundane workshop and the dramatic online search should be striking and thought-provoking.
*Variations in the User Prompts from chart to chart are just the result of random number generation in Python. I wrote a few arrays of various styles and methods to ask questions to change up the results. Every time this site writes an explanation or generates an image, the script picks from each at random.
I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in The number of shoe and leather workers and repairers in Maine caused how to hide a body (Google searches for 'how to hide a body') to increase. Include one good pun.
AI academic paper
The Soleful Connection: The Association Between Shoe and Leather Workers in Maine and Google Searches for 'How to Hide a Body' The Journal of Footwear Sociology Jan 2024 Reminder: This paper is AI-generated. Not real! |
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 shoe and leather workers and repairers in Maine and Google searches for 'how to hide a body'. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Make the title punny if you can come up with clever pun. If not, just make it sound clever.
Your research team used data from Bureau of Larbor Statistics and Google Trends to assess this nagging question. You found a correlation coefficient of 0.7245621 and p < 0.01 for 2004 to 2019.
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]]
The Soleful Connection: The Association Between Shoe and Leather Workers in Maine and Google Searches for 'How to Hide a Body'
[[ABSTRACT]]
In this study, we tackle the curious and, dare I say, offbeat relationship between the number of shoe and leather workers in the state of Maine and Google searches for the query 'how to hide a body'. Utilizing data from the Bureau of Labor Statistics and Google Trends, our research team diligently trudged through the data to uncover any potential connections between these seemingly disparate elements. To our surprise (and, I must confess, delight), a correlation coefficient of 0.7245621 and p < 0.01 emerged for the time span of 2004 to 2019, shedding light on this peculiar correlation.
The findings of this study, though somewhat macabre, bring about an important realization – perhaps the footwear and clandestine activities occupy a shared conversational space more often than one might have initially supposed. As the old adage goes, one must always be sure to put their best foot forward, especially when stepping into the realm of statistical curiosity. It seems that in the case of leather workers in Maine, their skills may be more than just the-sole reason for this intriguing association. With this paper, we not only aim to tickle the mind but also to lace up the understanding of correlations in unexpected domains, bringing forth the unique and often comical nature of data relationships.
And for a relevant dad joke, what did the shoe say to the pants? "Sup? I got you covered from the ground up!"
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 shoe and leather workers and repairers in Maine and Google searches for 'how to hide a body'. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Here is the title and abstract of the paper:
[[TITLE]]
The Soleful Connection: The Association Between Shoe and Leather Workers in Maine and Google Searches for 'How to Hide a Body'
[[ABSTRACT]]
In this study, we tackle the curious and, dare I say, offbeat relationship between the number of shoe and leather workers in the state of Maine and Google searches for the query 'how to hide a body'. Utilizing data from the Bureau of Labor Statistics and Google Trends, our research team diligently trudged through the data to uncover any potential connections between these seemingly disparate elements. To our surprise (and, I must confess, delight), a correlation coefficient of 0.7245621 and p < 0.01 emerged for the time span of 2004 to 2019, shedding light on this peculiar correlation.
The findings of this study, though somewhat macabre, bring about an important realization – perhaps the footwear and clandestine activities occupy a shared conversational space more often than one might have initially supposed. As the old adage goes, one must always be sure to put their best foot forward, especially when stepping into the realm of statistical curiosity. It seems that in the case of leather workers in Maine, their skills may be more than just the-sole reason for this intriguing association. With this paper, we not only aim to tickle the mind but also to lace up the understanding of correlations in unexpected domains, bringing forth the unique and often comical nature of data relationships.
And for a relevant dad joke, what did the shoe say to the pants? "Sup? I got you covered from the ground up!"
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
Ladies and gentlemen, buckle up your belts and put on your favorite pair of shoes because we are about to embark on a one-of-a-kind journey through the curious world of correlation between seemingly unrelated phenomena. In this study, we delve into the fascinating intertwining of the number of shoe and leather workers in the picturesque state of Maine with the intriguing Google searches for 'how to hide a body'. If you thought data analysis couldn't be "soul"ful and mysterious, you better be prepared for a plot twist as we uncover the unexpected connection between these elements.
It's not every day that one encounters a correlation as puzzling as the one we present in this paper. The relationship between shoe and leather workers and queries about clandestine activities on Google may seem like a rather "shoehorned" oddity in the realm of statistical research. However, as our investigation reveals, there could be more to this connection than meets the eye. As the saying goes, "The devil is in the details," and it seems that in this case, the "sole" may also have a hand in some rather mysterious affairs.
Speaking of shoes and mysteries, did you hear about the kidnapping at the shoe factory? Don't worry, he was eventually found because there were footprints everywhere! Now don't let that little joke distract you from our serious findings; we're just trying to keep your spirits high as we delve into the depths of this enigmatic correlation.
As we forge ahead with this research, we graciously invite you to join us in exploring the statistical nuances and amusing quirkiness that arise when seemingly unrelated subjects collide. It's not every day that we get to peep into the "sole" of human behavior and curiosity, and we're excited to share our "findings" with you. So, buckle your seatbelts, everyone - it's going to be a "sole-stirring" ride through the unexpected world of data relationships! And remember, when it comes to unraveling quirky correlations, one must always put their "best foot" forward!
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 shoe and leather workers and repairers in Maine and Google searches for 'how to hide a body'. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.
Make up the lorem and ipsum part, but make it sound related to the topic at hand.
Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then 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]]
The Soleful Connection: The Association Between Shoe and Leather Workers in Maine and Google Searches for 'How to Hide a Body'
[[ABSTRACT]]
In this study, we tackle the curious and, dare I say, offbeat relationship between the number of shoe and leather workers in the state of Maine and Google searches for the query 'how to hide a body'. Utilizing data from the Bureau of Labor Statistics and Google Trends, our research team diligently trudged through the data to uncover any potential connections between these seemingly disparate elements. To our surprise (and, I must confess, delight), a correlation coefficient of 0.7245621 and p < 0.01 emerged for the time span of 2004 to 2019, shedding light on this peculiar correlation.
The findings of this study, though somewhat macabre, bring about an important realization – perhaps the footwear and clandestine activities occupy a shared conversational space more often than one might have initially supposed. As the old adage goes, one must always be sure to put their best foot forward, especially when stepping into the realm of statistical curiosity. It seems that in the case of leather workers in Maine, their skills may be more than just the-sole reason for this intriguing association. With this paper, we not only aim to tickle the mind but also to lace up the understanding of correlations in unexpected domains, bringing forth the unique and often comical nature of data relationships.
And for a relevant dad joke, what did the shoe say to the pants? "Sup? I got you covered from the ground up!"
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
Ladies and gentlemen, buckle up your belts and put on your favorite pair of shoes because we are about to embark on a one-of-a-kind journey through the curious world of correlation between seemingly unrelated phenomena. In this study, we delve into the fascinating intertwining of the number of shoe and leather workers in the picturesque state of Maine with the intriguing Google searches for 'how to hide a body'. If you thought data analysis couldn't be "soul"ful and mysterious, you better be prepared for a plot twist as we uncover the unexpected connection between these elements.
It's not every day that one encounters a correlation as puzzling as the one we present in this paper. The relationship between shoe and leather workers and queries about clandestine activities on Google may seem like a rather "shoehorned" oddity in the realm of statistical research. However, as our investigation reveals, there could be more to this connection than meets the eye. As the saying goes, "The devil is in the details," and it seems that in this case, the "sole" may also have a hand in some rather mysterious affairs.
Speaking of shoes and mysteries, did you hear about the kidnapping at the shoe factory? Don't worry, he was eventually found because there were footprints everywhere! Now don't let that little joke distract you from our serious findings; we're just trying to keep your spirits high as we delve into the depths of this enigmatic correlation.
As we forge ahead with this research, we graciously invite you to join us in exploring the statistical nuances and amusing quirkiness that arise when seemingly unrelated subjects collide. It's not every day that we get to peep into the "sole" of human behavior and curiosity, and we're excited to share our "findings" with you. So, buckle your seatbelts, everyone - it's going to be a "sole-stirring" ride through the unexpected world of data relationships! And remember, when it comes to unraveling quirky correlations, one must always put their "best foot" forward!
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
The investigation into the peculiar relationship between the number of shoe and leather workers in the state of Maine and the Google searches for 'how to hide a body' has led us down a meandering path of scholarly inquiry. Smith et al. (2015) examined the demographics of labor industries in Maine, offering a comprehensive overview of the workforce composition through meticulous data analysis. Meanwhile, Doe and Jones (2018) delved into the patterns of online search queries, shedding light on the intriguing dynamics of user engagement with digital platforms such as Google.
Turning to the milieu of footwear and the curious world of clandestine queries, one cannot help but draw inspiration from popular non-fiction works such as "The Devil in the White City" by Erik Larson and "Murder in Maine" by Victoria Houston, which elucidate the enthralling mysteries of historical events and intricate narratives. In the realm of fiction, authors such as Agatha Christie with her iconic character Hercule Poirot and Arthur Conan Doyle's Sherlock Holmes have paved the way for the exploration of enigmatic scenarios, captivating readers with their astute deductions and unexpected twists.
Embarking on the quest for scholarly insight, we could not resist the allure of unorthodox sources, including the backs of shampoo bottles and the comedic musings of internet memes. While these unconventional sources may raise an eyebrow or two, they have undeniably provided a lighthearted perspective on the correlation between the labor force and online queries, reminding us that even in the realm of academic inquiry, a touch of humor can serve as a refreshing antidote to the rigors of research.
In the spirit of embracing levity amidst scholarly pursuits, we are reminded of the age-old question: Why don't skeletons fight each other? They don't have the guts! In a similar light, we implore readers to approach our findings with an open mind and a lighthearted spirit, for amidst the statistical analyses and scholarly discourse, there lies an element of whimsy that cannot be ignored.
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 shoe and leather workers and repairers in Maine and Google searches for 'how to hide a body'. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Your research team collected data from all across the internet, but mostly just used information from Bureau of Larbor Statistics and Google Trends . You used data from 2004 to 2019
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]]
The Soleful Connection: The Association Between Shoe and Leather Workers in Maine and Google Searches for 'How to Hide a Body'
[[ABSTRACT]]
In this study, we tackle the curious and, dare I say, offbeat relationship between the number of shoe and leather workers in the state of Maine and Google searches for the query 'how to hide a body'. Utilizing data from the Bureau of Labor Statistics and Google Trends, our research team diligently trudged through the data to uncover any potential connections between these seemingly disparate elements. To our surprise (and, I must confess, delight), a correlation coefficient of 0.7245621 and p < 0.01 emerged for the time span of 2004 to 2019, shedding light on this peculiar correlation.
The findings of this study, though somewhat macabre, bring about an important realization – perhaps the footwear and clandestine activities occupy a shared conversational space more often than one might have initially supposed. As the old adage goes, one must always be sure to put their best foot forward, especially when stepping into the realm of statistical curiosity. It seems that in the case of leather workers in Maine, their skills may be more than just the-sole reason for this intriguing association. With this paper, we not only aim to tickle the mind but also to lace up the understanding of correlations in unexpected domains, bringing forth the unique and often comical nature of data relationships.
And for a relevant dad joke, what did the shoe say to the pants? "Sup? I got you covered from the ground up!"
[[INTRODUCTION]]
Ladies and gentlemen, buckle up your belts and put on your favorite pair of shoes because we are about to embark on a one-of-a-kind journey through the curious world of correlation between seemingly unrelated phenomena. In this study, we delve into the fascinating intertwining of the number of shoe and leather workers in the picturesque state of Maine with the intriguing Google searches for 'how to hide a body'. If you thought data analysis couldn't be "soul"ful and mysterious, you better be prepared for a plot twist as we uncover the unexpected connection between these elements.
It's not every day that one encounters a correlation as puzzling as the one we present in this paper. The relationship between shoe and leather workers and queries about clandestine activities on Google may seem like a rather "shoehorned" oddity in the realm of statistical research. However, as our investigation reveals, there could be more to this connection than meets the eye. As the saying goes, "The devil is in the details," and it seems that in this case, the "sole" may also have a hand in some rather mysterious affairs.
Speaking of shoes and mysteries, did you hear about the kidnapping at the shoe factory? Don't worry, he was eventually found because there were footprints everywhere! Now don't let that little joke distract you from our serious findings; we're just trying to keep your spirits high as we delve into the depths of this enigmatic correlation.
As we forge ahead with this research, we graciously invite you to join us in exploring the statistical nuances and amusing quirkiness that arise when seemingly unrelated subjects collide. It's not every day that we get to peep into the "sole" of human behavior and curiosity, and we're excited to share our "findings" with you. So, buckle your seatbelts, everyone - it's going to be a "sole-stirring" ride through the unexpected world of data relationships! And remember, when it comes to unraveling quirky correlations, one must always put their "best foot" forward!
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To dissect the peculiar marriage between the number of shoe and leather workers in Maine and the Google searches for 'how to hide a body', our research team adopted a multi-faceted approach that involved employing only the finest tools of statistical shenanigans and data sleuthing. We understand that our research topic might seem a little out of left "sole," but we assure you that our methodology is grounded in the most astute principles of data analysis.
Firstly, we sourced data on the number of shoe and leather workers in the beautiful state of Maine from the Bureau of Labor Statistics, digging through their treasure trove of occupational employment statistics with the precision of a fine craftsman. We carefully combed through the numbers, ensuring that no sole worker was left unaccounted for - after all, in statistical research, every "boot" counts!
In parallel, we dived into the labyrinthine realm of Google Trends, where we meticulously extracted data on the frequency of searches for 'how to hide a body' within the geographical domain of Maine. Our team was vigilant in ensuring that no suspicious search went undetected, as we sought to unravel the web of inquiry into clandestine endeavors.
Now, you might be wondering, "What kind of correlation analysis did they perform?" Well, we're glad you asked! Our team employed the formidable power of Pearson's correlation coefficient to measure the strength and direction of the association between the number of shoe and leather workers and the frequency of 'how to hide a body' searches on Google. We wanted to be as thorough as cobblers inspecting a pair of well-worn shoes, leaving no statistical stone unturned!
To add a little flavor to our methodology (much like adding a pop of color to a tasteful pair of shoes), we also considered the temporal dimension by analyzing the data over a period of sixteen years, from 2004 to 2019. Our reasoning? Well, we wanted to ensure that our findings were as timeless as a well-crafted pair of brogues, resonating through the ages as a testament to the enigmatic connections that exist within the realm of data.
In the immortal words of William Shakespeare, "All the world's a stage," and indeed, the statistical stage upon which our methodology danced was no less illustrious. With a ballet of data mining, correlation analysis, and temporal scrutiny, we waltzed through the intricate steps of investigation, hoping to uncover the rhythm that ties shoe and leather workers to the search for clandestine knowledge.
Now don't let all this talk of correlations and data analysis tie you up in knots – at the end of the day, statistics can be as comforting as a well-worn pair of loafers, providing a snug fit for our understanding of the "soleful" connection we sought to unravel.
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 shoe and leather workers and repairers in Maine and Google searches for 'how to hide a body'. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Your research team collected data from all across the internet, but mostly just used information from Bureau of Larbor Statistics and Google Trends .
For the time period 2004 to 2019, you found a correlation 0.7245621, r-squared of 0.5249902, 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]]
The Soleful Connection: The Association Between Shoe and Leather Workers in Maine and Google Searches for 'How to Hide a Body'
[[ABSTRACT]]
In this study, we tackle the curious and, dare I say, offbeat relationship between the number of shoe and leather workers in the state of Maine and Google searches for the query 'how to hide a body'. Utilizing data from the Bureau of Labor Statistics and Google Trends, our research team diligently trudged through the data to uncover any potential connections between these seemingly disparate elements. To our surprise (and, I must confess, delight), a correlation coefficient of 0.7245621 and p < 0.01 emerged for the time span of 2004 to 2019, shedding light on this peculiar correlation.
The findings of this study, though somewhat macabre, bring about an important realization – perhaps the footwear and clandestine activities occupy a shared conversational space more often than one might have initially supposed. As the old adage goes, one must always be sure to put their best foot forward, especially when stepping into the realm of statistical curiosity. It seems that in the case of leather workers in Maine, their skills may be more than just the-sole reason for this intriguing association. With this paper, we not only aim to tickle the mind but also to lace up the understanding of correlations in unexpected domains, bringing forth the unique and often comical nature of data relationships.
And for a relevant dad joke, what did the shoe say to the pants? "Sup? I got you covered from the ground up!"
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
Ladies and gentlemen, buckle up your belts and put on your favorite pair of shoes because we are about to embark on a one-of-a-kind journey through the curious world of correlation between seemingly unrelated phenomena. In this study, we delve into the fascinating intertwining of the number of shoe and leather workers in the picturesque state of Maine with the intriguing Google searches for 'how to hide a body'. If you thought data analysis couldn't be "soul"ful and mysterious, you better be prepared for a plot twist as we uncover the unexpected connection between these elements.
It's not every day that one encounters a correlation as puzzling as the one we present in this paper. The relationship between shoe and leather workers and queries about clandestine activities on Google may seem like a rather "shoehorned" oddity in the realm of statistical research. However, as our investigation reveals, there could be more to this connection than meets the eye. As the saying goes, "The devil is in the details," and it seems that in this case, the "sole" may also have a hand in some rather mysterious affairs.
Speaking of shoes and mysteries, did you hear about the kidnapping at the shoe factory? Don't worry, he was eventually found because there were footprints everywhere! Now don't let that little joke distract you from our serious findings; we're just trying to keep your spirits high as we delve into the depths of this enigmatic correlation.
As we forge ahead with this research, we graciously invite you to join us in exploring the statistical nuances and amusing quirkiness that arise when seemingly unrelated subjects collide. It's not every day that we get to peep into the "sole" of human behavior and curiosity, and we're excited to share our "findings" with you. So, buckle your seatbelts, everyone - it's going to be a "sole-stirring" ride through the unexpected world of data relationships! And remember, when it comes to unraveling quirky correlations, one must always put their "best foot" forward!
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The analysis of the data revealed a strong positive correlation between the number of shoe and leather workers in Maine and Google searches for the query 'how to hide a body'. The correlation coefficient was found to be 0.7245621, with an r-squared value of 0.5249902, and a statistically significant p-value of less than 0.01. This substantial correlation raises some eyebrow(s), highlighting an intriguing connection between the two seemingly unrelated variables.
Fig. 1 depicts a scatterplot showcasing the robust association between the number of shoe and leather workers and Google searches for 'how to hide a body'. It's safe to say; the plot thickens as we visualize this unexpected relationship. And just like a good pair of shoes, the correlation appears to hold strong and steady through the years, shining a spotlight on this uncommon, yet undeniably fascinating association.
One might think the correlation would "sole"ly be due to chance, but it seems there's more to it than meets the eye. It's a real "shoeker" to uncover such a significant statistical tie between shoemaking and queries about burying the evidence. Who would have thought that the two would go "hand in hand" and "foot in shoe" in the realm of internet searches? It appears that the "sole" might have a dark and mysterious side after all!
The strength and substantial nature of this correlation warrant further exploration and contemplation. As we draw the curtain on this unforeseen statistical relationship, it's clear that the world of data analysis never ceases to amaze and amuse. This peculiar connection between the number of shoe and leather workers and the interest in concealing methods serves as a captivating reminder that statistical analysis can venture into the most unexpected territories. In the words of our shoemaker friends, this correlation certainly fits the bill.
And speaking of correlations, what do you call a belt made out of watches? A waist of time! Oh, the joy of unexpected data relationships and the humor they bring along the way.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the discussion section of an academic research paper presenting the findings of the connection between The number of shoe and leather workers and repairers in Maine and Google searches for 'how to hide a body'. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Limit your response to 500 tokens.
Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.
Do not write a conclusion. I will add a conclusion after this.
[[TITLE]]
The Soleful Connection: The Association Between Shoe and Leather Workers in Maine and Google Searches for 'How to Hide a Body'
[[ABSTRACT]]
In this study, we tackle the curious and, dare I say, offbeat relationship between the number of shoe and leather workers in the state of Maine and Google searches for the query 'how to hide a body'. Utilizing data from the Bureau of Labor Statistics and Google Trends, our research team diligently trudged through the data to uncover any potential connections between these seemingly disparate elements. To our surprise (and, I must confess, delight), a correlation coefficient of 0.7245621 and p < 0.01 emerged for the time span of 2004 to 2019, shedding light on this peculiar correlation.
The findings of this study, though somewhat macabre, bring about an important realization – perhaps the footwear and clandestine activities occupy a shared conversational space more often than one might have initially supposed. As the old adage goes, one must always be sure to put their best foot forward, especially when stepping into the realm of statistical curiosity. It seems that in the case of leather workers in Maine, their skills may be more than just the-sole reason for this intriguing association. With this paper, we not only aim to tickle the mind but also to lace up the understanding of correlations in unexpected domains, bringing forth the unique and often comical nature of data relationships.
And for a relevant dad joke, what did the shoe say to the pants? "Sup? I got you covered from the ground up!"
[[LITERATURE REVIEW]]
The investigation into the peculiar relationship between the number of shoe and leather workers in the state of Maine and the Google searches for 'how to hide a body' has led us down a meandering path of scholarly inquiry. Smith et al. (2015) examined the demographics of labor industries in Maine, offering a comprehensive overview of the workforce composition through meticulous data analysis. Meanwhile, Doe and Jones (2018) delved into the patterns of online search queries, shedding light on the intriguing dynamics of user engagement with digital platforms such as Google.
Turning to the milieu of footwear and the curious world of clandestine queries, one cannot help but draw inspiration from popular non-fiction works such as "The Devil in the White City" by Erik Larson and "Murder in Maine" by Victoria Houston, which elucidate the enthralling mysteries of historical events and intricate narratives. In the realm of fiction, authors such as Agatha Christie with her iconic character Hercule Poirot and Arthur Conan Doyle's Sherlock Holmes have paved the way for the exploration of enigmatic scenarios, captivating readers with their astute deductions and unexpected twists.
Embarking on the quest for scholarly insight, we could not resist the allure of unorthodox sources, including the backs of shampoo bottles and the comedic musings of internet memes. While these unconventional sources may raise an eyebrow or two, they have undeniably provided a lighthearted perspective on the correlation between the labor force and online queries, reminding us that even in the realm of academic inquiry, a touch of humor can serve as a refreshing antidote to the rigors of research.
In the spirit of embracing levity amidst scholarly pursuits, we are reminded of the age-old question: Why don't skeletons fight each other? They don't have the guts! In a similar light, we implore readers to approach our findings with an open mind and a lighthearted spirit, for amidst the statistical analyses and scholarly discourse, there lies an element of whimsy that cannot be ignored.
[[RESULTS]]
The analysis of the data revealed a strong positive correlation between the number of shoe and leather workers in Maine and Google searches for the query 'how to hide a body'. The correlation coefficient was found to be 0.7245621, with an r-squared value of 0.5249902, and a statistically significant p-value of less than 0.01. This substantial correlation raises some eyebrow(s), highlighting an intriguing connection between the two seemingly unrelated variables.
Fig. 1 depicts a scatterplot showcasing the robust association between the number of shoe and leather workers and Google searches for 'how to hide a body'. It's safe to say; the plot thickens as we visualize this unexpected relationship. And just like a good pair of shoes, the correlation appears to hold strong and steady through the years, shining a spotlight on this uncommon, yet undeniably fascinating association.
One might think the correlation would "sole"ly be due to chance, but it seems there's more to it than meets the eye. It's a real "shoeker" to uncover such a significant statistical tie between shoemaking and queries about burying the evidence. Who would have thought that the two would go "hand in hand" and "foot in shoe" in the realm of internet searches? It appears that the "sole" might have a dark and mysterious side after all!
The strength and substantial nature of this correlation warrant further exploration and contemplation. As we draw the curtain on this unforeseen statistical relationship, it's clear that the world of data analysis never ceases to amaze and amuse. This peculiar connection between the number of shoe and leather workers and the interest in concealing methods serves as a captivating reminder that statistical analysis can venture into the most unexpected territories. In the words of our shoemaker friends, this correlation certainly fits the bill.
And speaking of correlations, what do you call a belt made out of watches? A waist of time! Oh, the joy of unexpected data relationships and the humor they bring along the way.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The results of our study have led us down a fascinating, albeit somewhat perplexing, rabbit hole of inquiry. It appears that the connection between the number of shoe and leather workers in Maine and Google searches for 'how to hide a body' is not just a shoestring theory. Our findings not only corroborate previous research, like Smith et al. (2015), that delved into the demographics of labor industries, but they shed new light on the unexpected correlations that can lurk within the data.
One might quip that this association is a "soleful" reminder of the enigmatic nature of statistical relationships. The robust correlation coefficient of 0.7245621 reaffirms the presence of a substantive link between the labor force in the footwear industry and the interest in clandestine act concealment. It seems that the cobblers may indeed have a "foot" in the world of mysterious online searches.
It is essential to acknowledge that these findings align closely with the whimsical inspiration drawn from the realm of fiction and non-fiction literature explored in the literature review. At first glance, the connection between shoe and leather workers and queries about body concealment may appear as baffling as a cryptic Sherlock Holmes mystery. Still, our results support the notion that unexpected correlations may evade the naked eye, much like a well-hidden clue in a murder mystery novel.
In line with the musings of our lighthearted literary references, we have uncovered the peculiar and sometimes comical nature of data relationships. The startling robustness of the correlation prompts us to take a closer look at the broader narrative that may underpin these findings. Perhaps there is a "soleful" tale waiting to be unraveled in the secret corridors of internet searches, where the shoemakers and shadowy queries converge.
Our study not only adds a quirky twist to the annals of academic inquiry but also underscores the importance of keeping an open mind when traversing the landscapes of statistics and data analysis. The unexpected coupling of shoe and leather workers and search queries about body concealment serves as a reminder that statistical relationships, much like a well-timed dad joke, can tickle the mind and spark conversations that are both compelling and, dare we say, downright amusing.
And as we delve deeper into the tapestry of unconventional data correlations, one cannot help but revel in the whimsical spirit of scholarly inquiry. After all, what do you call a factory that makes good products? A "satis-shoe-ry." Oh, the joy of unearthing unexpected data relationships and the laughter they bring along the way.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft the discussion section of 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 shoe and leather workers and repairers in Maine and Google searches for 'how to hide a body'. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.
Here are the title, abstract, introduction, and results sections.
[[TITLE]]
The Soleful Connection: The Association Between Shoe and Leather Workers in Maine and Google Searches for 'How to Hide a Body'
[[ABSTRACT]]
In this study, we tackle the curious and, dare I say, offbeat relationship between the number of shoe and leather workers in the state of Maine and Google searches for the query 'how to hide a body'. Utilizing data from the Bureau of Labor Statistics and Google Trends, our research team diligently trudged through the data to uncover any potential connections between these seemingly disparate elements. To our surprise (and, I must confess, delight), a correlation coefficient of 0.7245621 and p < 0.01 emerged for the time span of 2004 to 2019, shedding light on this peculiar correlation.
The findings of this study, though somewhat macabre, bring about an important realization – perhaps the footwear and clandestine activities occupy a shared conversational space more often than one might have initially supposed. As the old adage goes, one must always be sure to put their best foot forward, especially when stepping into the realm of statistical curiosity. It seems that in the case of leather workers in Maine, their skills may be more than just the-sole reason for this intriguing association. With this paper, we not only aim to tickle the mind but also to lace up the understanding of correlations in unexpected domains, bringing forth the unique and often comical nature of data relationships.
And for a relevant dad joke, what did the shoe say to the pants? "Sup? I got you covered from the ground up!"
[[INTRDUCTION]]
Ladies and gentlemen, buckle up your belts and put on your favorite pair of shoes because we are about to embark on a one-of-a-kind journey through the curious world of correlation between seemingly unrelated phenomena. In this study, we delve into the fascinating intertwining of the number of shoe and leather workers in the picturesque state of Maine with the intriguing Google searches for 'how to hide a body'. If you thought data analysis couldn't be "soul"ful and mysterious, you better be prepared for a plot twist as we uncover the unexpected connection between these elements.
It's not every day that one encounters a correlation as puzzling as the one we present in this paper. The relationship between shoe and leather workers and queries about clandestine activities on Google may seem like a rather "shoehorned" oddity in the realm of statistical research. However, as our investigation reveals, there could be more to this connection than meets the eye. As the saying goes, "The devil is in the details," and it seems that in this case, the "sole" may also have a hand in some rather mysterious affairs.
Speaking of shoes and mysteries, did you hear about the kidnapping at the shoe factory? Don't worry, he was eventually found because there were footprints everywhere! Now don't let that little joke distract you from our serious findings; we're just trying to keep your spirits high as we delve into the depths of this enigmatic correlation.
As we forge ahead with this research, we graciously invite you to join us in exploring the statistical nuances and amusing quirkiness that arise when seemingly unrelated subjects collide. It's not every day that we get to peep into the "sole" of human behavior and curiosity, and we're excited to share our "findings" with you. So, buckle your seatbelts, everyone - it's going to be a "sole-stirring" ride through the unexpected world of data relationships! And remember, when it comes to unraveling quirky correlations, one must always put their "best foot" forward!
[[RESULTS]]
The analysis of the data revealed a strong positive correlation between the number of shoe and leather workers in Maine and Google searches for the query 'how to hide a body'. The correlation coefficient was found to be 0.7245621, with an r-squared value of 0.5249902, and a statistically significant p-value of less than 0.01. This substantial correlation raises some eyebrow(s), highlighting an intriguing connection between the two seemingly unrelated variables.
Fig. 1 depicts a scatterplot showcasing the robust association between the number of shoe and leather workers and Google searches for 'how to hide a body'. It's safe to say; the plot thickens as we visualize this unexpected relationship. And just like a good pair of shoes, the correlation appears to hold strong and steady through the years, shining a spotlight on this uncommon, yet undeniably fascinating association.
One might think the correlation would "sole"ly be due to chance, but it seems there's more to it than meets the eye. It's a real "shoeker" to uncover such a significant statistical tie between shoemaking and queries about burying the evidence. Who would have thought that the two would go "hand in hand" and "foot in shoe" in the realm of internet searches? It appears that the "sole" might have a dark and mysterious side after all!
The strength and substantial nature of this correlation warrant further exploration and contemplation. As we draw the curtain on this unforeseen statistical relationship, it's clear that the world of data analysis never ceases to amaze and amuse. This peculiar connection between the number of shoe and leather workers and the interest in concealing methods serves as a captivating reminder that statistical analysis can venture into the most unexpected territories. In the words of our shoemaker friends, this correlation certainly fits the bill.
And speaking of correlations, what do you call a belt made out of watches? A waist of time! Oh, the joy of unexpected data relationships and the humor they bring along the way.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, our study has unveiled a striking and, dare I say, "punny" correlation between the number of shoe and leather workers in Maine and Google searches for 'how to hide a body'. The robust correlation coefficient of 0.7245621 with a statistically significant p-value has left us tying our brain cells in knots over this unexpected association. It appears that the soleful craft of shoemaking may have more in common with clandestine activities than meets the eye. Who knew that footwear and foul play could be linked in such a statistically significant manner?
As we bid adieu to this charming correlation, we can't resist slipping in a dad joke: What did the leather worker say to the detective? "I'm good at stitching soles, but I won't help you cover up your tracks!" Oh, the irony!
With our findings in hand, we confidently assert that no further research is needed in this area. After all, we've laced up this correlation quite nicely, leaving no room for any sneaker suspicion. It seems that the "sole" has spoken, and its connection to Google searches about hiding bodies is no laughing matter, except when it is! Therefore, we're hanging our hats on this study and affirming that there's certainly no need to beat this correlation into the ground any further. Oh, the fun we've had on this statistical romp!
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 The Soleful Connection: The Association Between Shoe and Leather Workers in Maine and Google Searches for 'How to Hide a Body'. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Footwear Sociology
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 The Soleful Connection: The Association Between Shoe and Leather Workers in Maine and Google Searches for 'How to Hide a Body'. Respond only with the name of a fictional organization.
ChatGPT:
The Institute for New England Footwear 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 The Soleful Connection: The Association Between Shoe and Leather Workers in Maine and Google Searches for 'How to Hide a Body' with an abstract of In this study, we tackle the curious and, dare I say, offbeat relationship between the number of shoe and leather workers in the state of Maine and Google searches for the query 'how to hide a body'. Utilizing data from the Bureau of Labor Statistics and Google Trends, our research team diligently trudged through the data to uncover any potential connections between these seemingly disparate elements. To our surprise (and, I must confess, delight), a correlation coefficient of 0.7245621 and p < 0.01 emerged for the time span of 2004 to 2019, shedding light on this peculiar correlation.
The findings of this study, though somewhat macabre, bring about an important realization – perhaps the footwear and clandestine activities occupy a shared conversational space more often than one might have initially supposed. As the old adage goes, one must always be sure to put their best foot forward, especially when stepping into the realm of statistical curiosity. It seems that in the case of leather workers in Maine, their skills may be more than just the-sole reason for this intriguing association. With this paper, we not only aim to tickle the mind but also to lace up the understanding of correlations in unexpected domains, bringing forth the unique and often comical nature of data relationships.
And for a relevant dad joke, what did the shoe say to the pants? "Sup? I got you covered from the ground up!
ChatGPT:
shoe workers, leather workers, Maine, correlation, Google searches, how to hide a body, Bureau of Labor Statistics, Google Trends, statistical analysis, data relationships
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
Discover a new correlation
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Data details
The number of shoe and leather workers and repairers in MaineDetailed data title: BLS estimate of shoe and leather workers and repairers in Maine
Source: Bureau of Larbor Statistics
See what else correlates with The number of shoe and leather workers and repairers in Maine
Google searches for 'how to hide a body'
Detailed data title: Relative volume of Google searches for 'how to hide a body' (Worldwide, without quotes)
Source: Google Trends
Additional Info: Relative search volume (not absolute numbers)
See what else correlates with Google searches for 'how to hide a body'
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 = 0.5249902 (Coefficient of determination)
This means 52.5% of the change in the one variable (i.e., Google searches for 'how to hide a body') is predictable based on the change in the other (i.e., The number of shoe and leather workers and repairers in Maine) over the 16 years from 2004 through 2019.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.0015. 0.0014993619937353209000000000
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 0.72 in 0.15% of random cases. Said differently, if you correlated 667 random variables Which I absolutely did.
with the same 15 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 15 because we have two variables measured over a period of 16 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.
[ 0.36, 0.9 ] 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.
2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | |
The number of shoe and leather workers and repairers in Maine (Laborers) | 190 | 90 | 120 | 90 | 70 | 60 | 40 | 60 | 180 | 250 | 300 | 280 | 150 | 60 | 110 | 300 |
Google searches for 'how to hide a body' (Rel. search volume) | 9.5 | 6.33333 | 6.58333 | 8.25 | 15.75 | 15.5833 | 16.25 | 30.1667 | 51.4167 | 54.0833 | 83 | 70.5833 | 43.6667 | 38.75 | 36.4167 | 41.3333 |
Why this works
- 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.
- Lack of causal connection: There is probably
Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied. - Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple
Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is.
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([190,90,120,90,70,60,40,60,180,250,300,280,150,60,110,300,])
array_2 = np.array([9.5,6.33333,6.58333,8.25,15.75,15.5833,16.25,30.1667,51.4167,54.0833,83,70.5833,43.6667,38.75,36.4167,41.3333,])
array_1_name = "The number of shoe and leather workers and repairers in Maine"
array_2_name = "Google searches for 'how to hide a body'"
# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)
# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)
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You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.
For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."
When spoken, my last name is pronounced "vegan," like I don't eat meat.
Full license details.
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Download images for these variables:
- High resolution line chart
The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.
If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.
Alternatively you can use a tool like Inkscape. - High resolution line chart, optimized for mobile
- Alternative high resolution line chart
- Scatterplot
- Portable line chart (png)
- Portable line chart (png), optimized for mobile
- Line chart for only The number of shoe and leather workers and repairers in Maine
- Line chart for only Google searches for 'how to hide a body'
- AI-generated correlation image
- The spurious research paper: The Soleful Connection: The Association Between Shoe and Leather Workers in Maine and Google Searches for 'How to Hide a Body'
Your rating skills are top-notch!
Correlation ID: 3315 · Black Variable ID: 9035 · Red Variable ID: 1513