Spurious correlation #4,182 · 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 medical equipment repairers in Maine and the second variable is New York Times Fiction Best Sellers. The chart goes from 2003 to 2014, and the two variables track closely in value over that time.

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is The number of medical equipment repairers in Maine and the second variable is New York Times Fiction Best Sellers. The chart goes from 2003 to 2014, and the two variables track closely in value over that time.

AI explanation

As the demand for medical equipment repairers grew in Maine, so did the need for technical manuals and instructional guides. This spike in the production of written material inadvertently provided New York Times fiction best sellers with new inspiration for riveting plots and captivating storytelling. After all, who wouldn't want to read a novel about the thrilling adventures of a daring medical equipment repairer in the picturesque backdrop of the Maine countryside? It's like the heartbeat of the repairers synced up with the pulse of the literary world, sparking a novel connection between stethoscopes and stories!

^{Show image generation prompt} Model: dalle-3
Prompt: Generate a comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s, depicting a peaceful town in Maine. In the foreground, a quaint bookstore with a welcoming window display of the latest New York Times fiction best sellers. On the adjacent street, a bustling workshop with medical equipment repairers diligently working on machines. Their focused expressions hint at the intricate tasks at hand as they consult technical manuals and instructional guides. The serene town setting, with charming houses and lush greenery, sets the stage for potential inspiration for a breathtaking novel, where the worlds of medical equipment repair and captivating storytelling collide. 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 medical equipment repairers in Maine and New York Times Fiction Best Sellers. 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: Woodblock painting Surrealism Scalar art Hyper-realistic A comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s
ChatGPT: A comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s

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 medical equipment repairers in Maine and New York Times Fiction Best Sellers, in the following situation: As the demand for medical equipment repairers grew in Maine, so did the need for technical manuals and instructional guides. This spike in the production of written material inadvertently provided New York Times fiction best sellers with new inspiration for riveting plots and captivating storytelling. After all, who wouldn't want to read a novel about the thrilling adventures of a daring medical equipment repairer in the picturesque backdrop of the Maine countryside? It's like the heartbeat of the repairers synced up with the pulse of the literary world, sparking a novel connection between stethoscopes and stories!. Keep the description simple.
ChatGPT: In a peaceful town in Maine, a quaint bookstore displays the latest New York Times fiction best sellers in its window. Nearby, a bustling workshop is filled with medical equipment repairers diligently working on machines. As they work, they consult technical manuals and instructional guides, their focused expressions hinting at the intricate tasks at hand. The serene town setting, with its charming houses and lush greenery, sets the stage for potential inspiration for a breathtaking novel, where the worlds of medical equipment repair and captivating storytelling collide.

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 comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s ] and depicting this scene: In a peaceful town in Maine, a quaint bookstore displays the latest New York Times fiction best sellers in its window. Nearby, a bustling workshop is filled with medical equipment repairers diligently working on machines. As they work, they consult technical manuals and instructional guides, their focused expressions hinting at the intricate tasks at hand. The serene town setting, with its charming houses and lush greenery, sets the stage for potential inspiration for a breathtaking novel, where the worlds of medical equipment repair and captivating storytelling collide. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate a comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s, depicting a peaceful town in Maine. In the foreground, a quaint bookstore with a welcoming window display of the latest New York Times fiction best sellers. On the adjacent street, a bustling workshop with medical equipment repairers diligently working on machines. Their focused expressions hint at the intricate tasks at hand as they consult technical manuals and instructional guides. The serene town setting, with charming houses and lush greenery, sets the stage for potential inspiration for a breathtaking novel, where the worlds of medical equipment repair and captivating storytelling collide.

*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.
^{Show prompt for explanation} Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in The number of medical equipment repairers in Maine caused New York Times Fiction Best Sellers to increase. Make it feel plausible.

AI academic paper

(Because p < 0.01)

A Novel Connection: Exploring the Link Between Medical Equipment Repairers in Maine and New York Times Fiction Best Sellers

The Journal of Quirky Interdisciplinary Studies

Jan 2024

^{Show prompt used to generate this paper} 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 goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 medical equipment repairers in Maine and New York Times Fiction Best Sellers. 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 you might move on to cartoons and children's shows that you watched for research.

Here is the title and abstract of the paper:
[[TITLE]]
A Novel Connection: Exploring the Link Between Medical Equipment Repairers in Maine and New York Times Fiction Best Sellers

[[ABSTRACT]]
In this paper, we explore the surprisingly interconnected worlds of medical equipment repairers in Maine and the New York Times Fiction Best Sellers list. While at first glance, these two seemingly disparate subjects may appear to have nothing in common, our research reveals a fascinating correlation that may leave you reaching for your stethoscope and detective hat simultaneously. By analyzing data from the Bureau of Labor Statistics and the Hawes list, we uncovered a significant correlation coefficient of 0.8992521 and p < 0.01 from 2003 to 2014. The implications of our findings are as gripping as a best-selling thriller novel, hinting at a potentially untold saga of how the repair of medical equipment might be intertwined with the literary preferences of fiction enthusiasts. So, fasten your seatbelts and hold onto your copy of "Gray's Anatomy" because this research is about to take you on a "novel" journey through the unexpected connections in the worlds of healthcare and literature.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The world of academic research often leads us down unexpected and uncharted paths, where the seemingly unrelated converge in a perplexing dance of correlation. In this study, we embark on a journey that intertwines the peculiar worlds of medical equipment repairers in Maine and the illustrious New York Times Fiction Best Sellers list. While some may question the relevance of connecting these disparate subjects, we assure you that our findings are as surprising as discovering a stethoscope hidden in the pages of a best-selling mystery novel.
As we delve into this uncharted territory, we can't help but wonder: what parallels exist between the individuals tasked with keeping medical equipment in top-notch shape and the literary preferences of avid fiction readers? Are there hidden narratives of interplay between the repair of defibrillators and the dramatic plot twists of a suspenseful best seller? Let's find out, shall we?
The crux of our investigation lies in the analysis of data from the Bureau of Labor Statistics, offering insight into the trends and numbers of medical equipment repairers in the state of Maine. Additionally, we navigate the treacherous waters of the literary world by examining the New York Times Fiction Best Sellers list, seeking cues from the novels gracing its esteemed pages. Our methodology promises to illuminate the intricate web of connections between these seemingly incongruent realms, providing a fresh perspective on the intersection of healthcare and literature.
So, don your lab coat and dust off that copy of "War and Peace" because we are about to embark on an expedition of academic inquiry that might just "mend" the gap between healthcare and fiction in ways you never imagined. Keep your eyes peeled for unexpected plot twists and statistical surprises, as we uncover the gripping tale of how medical equipment repairers in Maine and the enchanting world of fiction intertwine in unexpected harmony. And who knows, you might just find yourself recommending a dose of "Pride and Prejudice" alongside an appointment with your friendly neighborhood medical equipment repairer.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

The links between seemingly unrelated professions and popular culture have been the subject of much academic intrigue. Smith et al. (2010) delved into the mysterious correlation between sushi chefs in Japan and the sales of Godzilla merchandise, while Doe and Jones (2014) explored the enigmatic connection between professional wrestlers in Texas and the popularity of Tex-Mex cuisine. Such research highlights the fascinating interplay between niche occupations and cultural phenomena, paving the way for our own investigation into the interwoven worlds of medical equipment repairers in Maine and the New York Times Fiction Best Sellers list.

Drawing from the realm of non-fiction, works like "The Immortal Life of Henrietta Lacks" by Rebecca Skloot and "Better" by Atul Gawande underscore the significance of medical equipment in the context of healthcare and provide a backdrop for our exploration. The technological landscape and the individuals tasked with its maintenance form the foundation on which our investigation stands, much like a sturdy MRI machine awaiting its next repair.

On the fiction frontier, novels such as "The Da Vinci Code" by Dan Brown and "The Andromeda Strain" by Michael Crichton offer gripping tales of medical mysteries and technological intrigue, sparking the imagination and fueling our curiosity about potential parallels between the maintenance of healthcare equipment and the literary tastes of the masses.

Venturing beyond the written word, we turn our attention to cultural touchstones such as "Grey's Anatomy," a television series that delves into the lives of surgeons and medical professionals, and "House M.D.," which follows the diagnostic escapades of a cantankerous yet brilliant doctor. These shows not only entertain but also offer glimpses into the intricate world of medical technology, adding a layer of complexity to our exploration.

As we navigate this landscape of literature, entertainment, and statistical analysis, it becomes apparent that the relationship between medical equipment repairers and the allure of fiction is ripe for investigation. Our study aims to shed light on this unconventional correlation, hoping to untangle the intricacies of healthcare and literature in a manner that both informs and entertains. So, buckle up, because this ride promises to be as riveting as a bestseller and as unexpected as a malfunctioning defibrillator in a mystery novel.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 medical equipment repairers in Maine and New York Times Fiction Best Sellers. Make lots of jokes, goofy observations, and puns.

Your research team collected data from all across the internet, but mostly just used information from Bureau of Larbor Statistics and Hawes . You used data from 2003 to 2014

Make up the research methods you don't know. Make them a bit goofy and convoluted.

Here is the title, abstract, and introduction of the paper:
[[TITLE]]
A Novel Connection: Exploring the Link Between Medical Equipment Repairers in Maine and New York Times Fiction Best Sellers

[[ABSTRACT]]
In this paper, we explore the surprisingly interconnected worlds of medical equipment repairers in Maine and the New York Times Fiction Best Sellers list. While at first glance, these two seemingly disparate subjects may appear to have nothing in common, our research reveals a fascinating correlation that may leave you reaching for your stethoscope and detective hat simultaneously. By analyzing data from the Bureau of Labor Statistics and the Hawes list, we uncovered a significant correlation coefficient of 0.8992521 and p < 0.01 from 2003 to 2014. The implications of our findings are as gripping as a best-selling thriller novel, hinting at a potentially untold saga of how the repair of medical equipment might be intertwined with the literary preferences of fiction enthusiasts. So, fasten your seatbelts and hold onto your copy of "Gray's Anatomy" because this research is about to take you on a "novel" journey through the unexpected connections in the worlds of healthcare and literature.

[[INTRODUCTION]]
The world of academic research often leads us down unexpected and uncharted paths, where the seemingly unrelated converge in a perplexing dance of correlation. In this study, we embark on a journey that intertwines the peculiar worlds of medical equipment repairers in Maine and the illustrious New York Times Fiction Best Sellers list. While some may question the relevance of connecting these disparate subjects, we assure you that our findings are as surprising as discovering a stethoscope hidden in the pages of a best-selling mystery novel.
As we delve into this uncharted territory, we can't help but wonder: what parallels exist between the individuals tasked with keeping medical equipment in top-notch shape and the literary preferences of avid fiction readers? Are there hidden narratives of interplay between the repair of defibrillators and the dramatic plot twists of a suspenseful best seller? Let's find out, shall we?
The crux of our investigation lies in the analysis of data from the Bureau of Labor Statistics, offering insight into the trends and numbers of medical equipment repairers in the state of Maine. Additionally, we navigate the treacherous waters of the literary world by examining the New York Times Fiction Best Sellers list, seeking cues from the novels gracing its esteemed pages. Our methodology promises to illuminate the intricate web of connections between these seemingly incongruent realms, providing a fresh perspective on the intersection of healthcare and literature.
So, don your lab coat and dust off that copy of "War and Peace" because we are about to embark on an expedition of academic inquiry that might just "mend" the gap between healthcare and fiction in ways you never imagined. Keep your eyes peeled for unexpected plot twists and statistical surprises, as we uncover the gripping tale of how medical equipment repairers in Maine and the enchanting world of fiction intertwine in unexpected harmony. And who knows, you might just find yourself recommending a dose of "Pride and Prejudice" alongside an appointment with your friendly neighborhood medical equipment repairer.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

The methodology employed in this research was as meticulous as a surgeon's hand and as intricate as the plot of a literary classic. We endeavored to uncover the connection between the number of medical equipment repairers in Maine and their potential influence on the New York Times Fiction Best Sellers list using a concoction of statistical analysis, data mining, and a sprinkle of literary sleuthing.

Firstly, we scoured the depths of the Bureau of Labor Statistics to extract precise and reliable data on the quantity of medical equipment repairers in the state of Maine from 2003 to 2014. This involved sifting through more numbers than the pages of a thick medical textbook, but our dedicated team handled it with the grace and skill of a surgeon wielding a scalpel.

Next, we turned our attention to the Hawes list, a comprehensive repository of New York Times Fiction Best Sellers from the same time period, where we meticulously combed through the enthralling tales that had captivated the literary world. This involved an intense amount of reading similar to a college student cramming for finals, but we tackled it with the determination of a protagonist facing the climax of a suspenseful novel.

To establish a connection between the number of medical equipment repairers and the presence of certain novels on the best sellers list, we employed a correlation analysis that would have made even Sherlock Holmes proud. Calculating correlation coefficients and p-values felt like dissecting the intricate web of character relationships in a multi-volume saga, but in the end, we emerged with statistical evidence that could rival the unexpected plot twists of a best-selling thriller.

Furthermore, to validate our findings, we consulted with industry experts and literary aficionados to ensure that our conclusions were as airtight as a sterile operating room. While this might not have involved the traditional pipetting and test tube swirling of a laboratory experiment, it did involve some rather intense debates reminiscent of a Shakespearean drama.

In summary, our methodology combined the precision of medical diagnostics with the intrigue of a compelling mystery novel, ensuring that our findings were as robust as a sturdy pair of surgical gloves. So, grab your stethoscope and your favorite fiction novel, because we're about to unravel a connection that's as unexpected as a plot twist in a classic whodunit.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 medical equipment repairers in Maine and New York Times Fiction Best Sellers. Make lots of jokes, goofy observations, and puns.

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

For the time period 2003 to 2014, you found a correlation 0.8992521, r-squared of 0.8086544, 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]]
A Novel Connection: Exploring the Link Between Medical Equipment Repairers in Maine and New York Times Fiction Best Sellers

[[ABSTRACT]]
In this paper, we explore the surprisingly interconnected worlds of medical equipment repairers in Maine and the New York Times Fiction Best Sellers list. While at first glance, these two seemingly disparate subjects may appear to have nothing in common, our research reveals a fascinating correlation that may leave you reaching for your stethoscope and detective hat simultaneously. By analyzing data from the Bureau of Labor Statistics and the Hawes list, we uncovered a significant correlation coefficient of 0.8992521 and p < 0.01 from 2003 to 2014. The implications of our findings are as gripping as a best-selling thriller novel, hinting at a potentially untold saga of how the repair of medical equipment might be intertwined with the literary preferences of fiction enthusiasts. So, fasten your seatbelts and hold onto your copy of "Gray's Anatomy" because this research is about to take you on a "novel" journey through the unexpected connections in the worlds of healthcare and literature.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The world of academic research often leads us down unexpected and uncharted paths, where the seemingly unrelated converge in a perplexing dance of correlation. In this study, we embark on a journey that intertwines the peculiar worlds of medical equipment repairers in Maine and the illustrious New York Times Fiction Best Sellers list. While some may question the relevance of connecting these disparate subjects, we assure you that our findings are as surprising as discovering a stethoscope hidden in the pages of a best-selling mystery novel.
As we delve into this uncharted territory, we can't help but wonder: what parallels exist between the individuals tasked with keeping medical equipment in top-notch shape and the literary preferences of avid fiction readers? Are there hidden narratives of interplay between the repair of defibrillators and the dramatic plot twists of a suspenseful best seller? Let's find out, shall we?
The crux of our investigation lies in the analysis of data from the Bureau of Labor Statistics, offering insight into the trends and numbers of medical equipment repairers in the state of Maine. Additionally, we navigate the treacherous waters of the literary world by examining the New York Times Fiction Best Sellers list, seeking cues from the novels gracing its esteemed pages. Our methodology promises to illuminate the intricate web of connections between these seemingly incongruent realms, providing a fresh perspective on the intersection of healthcare and literature.
So, don your lab coat and dust off that copy of "War and Peace" because we are about to embark on an expedition of academic inquiry that might just "mend" the gap between healthcare and fiction in ways you never imagined. Keep your eyes peeled for unexpected plot twists and statistical surprises, as we uncover the gripping tale of how medical equipment repairers in Maine and the enchanting world of fiction intertwine in unexpected harmony. And who knows, you might just find yourself recommending a dose of "Pride and Prejudice" alongside an appointment with your friendly neighborhood medical equipment repairer.

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

The results of our investigation have uncovered a startlingly robust correlation between the number of medical equipment repairers in Maine and the New York Times Fiction Best Sellers list. The correlation coefficient of 0.8992521 and an r-squared value of 0.8086544 indicate an exceptionally strong link between these two seemingly unrelated domains. We believe this correlation is stronger than the bond between a physician and their stethoscope, or perhaps the bond between an avid reader and their favorite novel.

Upon exploring the data collected from 2003 to 2014, our research team was dumbfounded by the extent of the relationship between the trends in medical equipment repairers and the novels that graced the prestigious New York Times Fiction Best Sellers list. The p-value of less than 0.01 further solidifies the statistical significance of this correlation, leaving only a minuscule probability that this connection is due to mere chance – unless, of course, one believes in the statistical equivalent of a literary fairy tale.

Our figure (Fig. 1) presents a scatterplot that visually encapsulates the remarkably tight relationship between these variables. It’s as if the plot of a classic mystery novel unfolded before our eyes, revealing the unexpected bond between these two diverse fields. The figure, like a compelling narrative, speaks volumes about the unexpected harmony between the repair of medical equipment and the fiction that captures the hearts and minds of readers across the nation.

In conclusion, the results of our analysis present a compelling case for the unexpected correlation between the number of medical equipment repairers in Maine and the New York Times Fiction Best Sellers list. The implications of these findings are as captivating as the twists and turns of a gripping novel, hinting at a narrative that intertwines the clinical world of healthcare with the literary landscapes of fiction in an intriguing dance of correlation. The next time you pick up a revered fiction best seller, spare a thought for the medical equipment repairers – it seems they may play a more captivating role in our cultural tapestry than previously imagined.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 medical equipment repairers in Maine and New York Times Fiction Best Sellers. Make lots of jokes, goofy observations, and puns.

Limit your response to 500 tokens.

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

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

[[TITLE]]
A Novel Connection: Exploring the Link Between Medical Equipment Repairers in Maine and New York Times Fiction Best Sellers

[[ABSTRACT]]
In this paper, we explore the surprisingly interconnected worlds of medical equipment repairers in Maine and the New York Times Fiction Best Sellers list. While at first glance, these two seemingly disparate subjects may appear to have nothing in common, our research reveals a fascinating correlation that may leave you reaching for your stethoscope and detective hat simultaneously. By analyzing data from the Bureau of Labor Statistics and the Hawes list, we uncovered a significant correlation coefficient of 0.8992521 and p < 0.01 from 2003 to 2014. The implications of our findings are as gripping as a best-selling thriller novel, hinting at a potentially untold saga of how the repair of medical equipment might be intertwined with the literary preferences of fiction enthusiasts. So, fasten your seatbelts and hold onto your copy of "Gray's Anatomy" because this research is about to take you on a "novel" journey through the unexpected connections in the worlds of healthcare and literature.

[[LITERATURE REVIEW]]
The links between seemingly unrelated professions and popular culture have been the subject of much academic intrigue. Smith et al. (2010) delved into the mysterious correlation between sushi chefs in Japan and the sales of Godzilla merchandise, while Doe and Jones (2014) explored the enigmatic connection between professional wrestlers in Texas and the popularity of Tex-Mex cuisine. Such research highlights the fascinating interplay between niche occupations and cultural phenomena, paving the way for our own investigation into the interwoven worlds of medical equipment repairers in Maine and the New York Times Fiction Best Sellers list.
Drawing from the realm of non-fiction, works like "The Immortal Life of Henrietta Lacks" by Rebecca Skloot and "Better" by Atul Gawande underscore the significance of medical equipment in the context of healthcare and provide a backdrop for our exploration. The technological landscape and the individuals tasked with its maintenance form the foundation on which our investigation stands, much like a sturdy MRI machine awaiting its next repair.
On the fiction frontier, novels such as "The Da Vinci Code" by Dan Brown and "The Andromeda Strain" by Michael Crichton offer gripping tales of medical mysteries and technological intrigue, sparking the imagination and fueling our curiosity about potential parallels between the maintenance of healthcare equipment and the literary tastes of the masses.
Venturing beyond the written word, we turn our attention to cultural touchstones such as "Grey's Anatomy," a television series that delves into the lives of surgeons and medical professionals, and "House M.D.," which follows the diagnostic escapades of a cantankerous yet brilliant doctor. These shows not only entertain but also offer glimpses into the intricate world of medical technology, adding a layer of complexity to our exploration.
As we navigate this landscape of literature, entertainment, and statistical analysis, it becomes apparent that the relationship between medical equipment repairers and the allure of fiction is ripe for investigation. Our study aims to shed light on this unconventional correlation, hoping to untangle the intricacies of healthcare and literature in a manner that both informs and entertains. So, buckle up, because this ride promises to be as riveting as a bestseller and as unexpected as a malfunctioning defibrillator in a mystery novel.

[[RESULTS]]
The results of our investigation have uncovered a startlingly robust correlation between the number of medical equipment repairers in Maine and the New York Times Fiction Best Sellers list. The correlation coefficient of 0.8992521 and an r-squared value of 0.8086544 indicate an exceptionally strong link between these two seemingly unrelated domains. We believe this correlation is stronger than the bond between a physician and their stethoscope, or perhaps the bond between an avid reader and their favorite novel.
Upon exploring the data collected from 2003 to 2014, our research team was dumbfounded by the extent of the relationship between the trends in medical equipment repairers and the novels that graced the prestigious New York Times Fiction Best Sellers list. The p-value of less than 0.01 further solidifies the statistical significance of this correlation, leaving only a minuscule probability that this connection is due to mere chance – unless, of course, one believes in the statistical equivalent of a literary fairy tale.
Our figure (Fig. 1) presents a scatterplot that visually encapsulates the remarkably tight relationship between these variables. It’s as if the plot of a classic mystery novel unfolded before our eyes, revealing the unexpected bond between these two diverse fields. The figure, like a compelling narrative, speaks volumes about the unexpected harmony between the repair of medical equipment and the fiction that captures the hearts and minds of readers across the nation.
In conclusion, the results of our analysis present a compelling case for the unexpected correlation between the number of medical equipment repairers in Maine and the New York Times Fiction Best Sellers list. The implications of these findings are as captivating as the twists and turns of a gripping novel, hinting at a narrative that intertwines the clinical world of healthcare with the literary landscapes of fiction in an intriguing dance of correlation. The next time you pick up a revered fiction best seller, spare a thought for the medical equipment repairers – it seems they may play a more captivating role in our cultural tapestry than previously imagined.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

Well, hot dang! We’ve hit the literary jackpot with these results, folks. Our findings have unmasked a correlation so strong, it could rival the bond between Sherlock Holmes and Dr. Watson! Our study has not only validated the quirky musings from Smith et al. (2010) about sushi chefs and Godzilla merchandise but has also set a new standard for uncovering outlandish connections in the academic world. Who knew that the repair of medical equipment in Maine could be dancing a tango with the New York Times Fiction Best Sellers list? It’s like witnessing a plot twist straight out of Agatha Christie's playbook!

Our results aligned with previous research on the intersection of niche occupations and cultural phenomena, highlighting that the interconnectedness between seemingly unrelated professions and popular culture is not just a whimsical idea but a concrete reality. Much like a well-crafted novel, our study provides an unexpected narrative that challenges conventional wisdom and shines a light on the delightful eccentricities of our interconnected world.

Speaking of shining a light, our research is akin to a literary spotlight illuminating the previously unnoticed role of medical equipment repairers in the intricate tapestry of our cultural and literary landscapes. Just as "The Da Vinci Code" unfurled the mystery of the Holy Grail, our study has peeled back the layers of obscurity to reveal an unexpected and robust relationship that could rival any suspenseful tale.

The statistical significance of our findings, with a p-value less than 0.01, is perhaps more shocking than a plot twist in a "who-done-it" thriller. It’s as if we stumbled upon a hidden treasure map and, lo and behold, it led straight to the heart of this unlikely correlation. Our scatterplot, like a map of the literary underworld, vividly captures the tight relationship between medical equipment repairers and the celebrated novels that grace the New York Times Fiction Best Sellers list. It's like the plot of a mystery novel sprang to life before our very eyes, leaving us in awe of the unexpected harmony between these two diverse domains.

In essence, our research has not only reaffirmed the bond between the repair of medical equipment and the novels that capture the hearts and minds of readers but has also opened a door to a world of potential narratives and connections waiting to be unraveled. So, dear reader, next time you peruse a best-selling fiction, tip your hat to the medical equipment repairers – for they just might be crafting an even more captivating story behind the scenes. Stay tuned for the sequel, where we dive deeper into the enigmatic connections between dental hygienists in Nevada and stand-up comedy specials on Netflix!

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 medical equipment repairers in Maine and New York Times Fiction Best Sellers. Make lots of jokes, goofy observations, and puns.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
A Novel Connection: Exploring the Link Between Medical Equipment Repairers in Maine and New York Times Fiction Best Sellers

[[ABSTRACT]]
In this paper, we explore the surprisingly interconnected worlds of medical equipment repairers in Maine and the New York Times Fiction Best Sellers list. While at first glance, these two seemingly disparate subjects may appear to have nothing in common, our research reveals a fascinating correlation that may leave you reaching for your stethoscope and detective hat simultaneously. By analyzing data from the Bureau of Labor Statistics and the Hawes list, we uncovered a significant correlation coefficient of 0.8992521 and p < 0.01 from 2003 to 2014. The implications of our findings are as gripping as a best-selling thriller novel, hinting at a potentially untold saga of how the repair of medical equipment might be intertwined with the literary preferences of fiction enthusiasts. So, fasten your seatbelts and hold onto your copy of "Gray's Anatomy" because this research is about to take you on a "novel" journey through the unexpected connections in the worlds of healthcare and literature.

[[INTRDUCTION]]
The world of academic research often leads us down unexpected and uncharted paths, where the seemingly unrelated converge in a perplexing dance of correlation. In this study, we embark on a journey that intertwines the peculiar worlds of medical equipment repairers in Maine and the illustrious New York Times Fiction Best Sellers list. While some may question the relevance of connecting these disparate subjects, we assure you that our findings are as surprising as discovering a stethoscope hidden in the pages of a best-selling mystery novel.
As we delve into this uncharted territory, we can't help but wonder: what parallels exist between the individuals tasked with keeping medical equipment in top-notch shape and the literary preferences of avid fiction readers? Are there hidden narratives of interplay between the repair of defibrillators and the dramatic plot twists of a suspenseful best seller? Let's find out, shall we?
The crux of our investigation lies in the analysis of data from the Bureau of Labor Statistics, offering insight into the trends and numbers of medical equipment repairers in the state of Maine. Additionally, we navigate the treacherous waters of the literary world by examining the New York Times Fiction Best Sellers list, seeking cues from the novels gracing its esteemed pages. Our methodology promises to illuminate the intricate web of connections between these seemingly incongruent realms, providing a fresh perspective on the intersection of healthcare and literature.
So, don your lab coat and dust off that copy of "War and Peace" because we are about to embark on an expedition of academic inquiry that might just "mend" the gap between healthcare and fiction in ways you never imagined. Keep your eyes peeled for unexpected plot twists and statistical surprises, as we uncover the gripping tale of how medical equipment repairers in Maine and the enchanting world of fiction intertwine in unexpected harmony. And who knows, you might just find yourself recommending a dose of "Pride and Prejudice" alongside an appointment with your friendly neighborhood medical equipment repairer.

[[RESULTS]]
The results of our investigation have uncovered a startlingly robust correlation between the number of medical equipment repairers in Maine and the New York Times Fiction Best Sellers list. The correlation coefficient of 0.8992521 and an r-squared value of 0.8086544 indicate an exceptionally strong link between these two seemingly unrelated domains. We believe this correlation is stronger than the bond between a physician and their stethoscope, or perhaps the bond between an avid reader and their favorite novel.
Upon exploring the data collected from 2003 to 2014, our research team was dumbfounded by the extent of the relationship between the trends in medical equipment repairers and the novels that graced the prestigious New York Times Fiction Best Sellers list. The p-value of less than 0.01 further solidifies the statistical significance of this correlation, leaving only a minuscule probability that this connection is due to mere chance – unless, of course, one believes in the statistical equivalent of a literary fairy tale.
Our figure (Fig. 1) presents a scatterplot that visually encapsulates the remarkably tight relationship between these variables. It’s as if the plot of a classic mystery novel unfolded before our eyes, revealing the unexpected bond between these two diverse fields. The figure, like a compelling narrative, speaks volumes about the unexpected harmony between the repair of medical equipment and the fiction that captures the hearts and minds of readers across the nation.
In conclusion, the results of our analysis present a compelling case for the unexpected correlation between the number of medical equipment repairers in Maine and the New York Times Fiction Best Sellers list. The implications of these findings are as captivating as the twists and turns of a gripping novel, hinting at a narrative that intertwines the clinical world of healthcare with the literary landscapes of fiction in an intriguing dance of correlation. The next time you pick up a revered fiction best seller, spare a thought for the medical equipment repairers – it seems they may play a more captivating role in our cultural tapestry than previously imagined.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

Our research has uncovered a correlation between medical equipment repairers in Maine and the New York Times Fiction Best Sellers list that is about as surprising as finding a stethoscope concealed in the pages of a thrilling mystery novel. The statistical connection between these seemingly unrelated fields is tighter than the bond between a doctor and their trusty white coat.

This unexpected correlation prompts us to consider the possibility that the repair of medical equipment might be more intricately interwoven with the literary preferences of fiction enthusiasts than previously realized. Perhaps there's a riveting tale hiding behind the scenes of defibrillator maintenance or an untold saga within the pages of a best-selling novel.

Our findings not only shed light on this peculiar correlation but also offer a whimsical twist to the otherwise serious realms of healthcare and literature. It seems that the plotlines of these two worlds may collide in ways we never imagined, leaving us grasping for both our stethoscopes and our dog-eared copies of "To Kill a Mockingbird."

As our research comes to a close, we are left with a valuable insight: the connection between medical equipment repairers and popular fiction transcends the ordinary and delves into the realm of statistical intrigue and whimsical wonder. It's as if our data is the protagonist in an unexpected narrative, weaving together the threads of these two disparate fields into a delightful tale of correlation and curiosity.

In conclusion, we assert confidently that no further research is needed in this area, as we have successfully brought to light a correlation that is as engaging and unexpected as a plot twist in a best-selling thriller. So, as we close the book on this research, let's raise a toast to the unexpected connections in the world around us – and to the repairers of medical equipment, who may just have more in common with fiction best sellers than meets the eye.

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 A Novel Connection: Exploring the Link Between Medical Equipment Repairers in Maine and New York Times Fiction Best Sellers. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Quirky Interdisciplinary Studies

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 A Novel Connection: Exploring the Link Between Medical Equipment Repairers in Maine and New York Times Fiction Best Sellers. Respond only with the name of a fictional organization.

ChatGPT:

Society for the Advancement of Quirky Research Initiatives

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 A Novel Connection: Exploring the Link Between Medical Equipment Repairers in Maine and New York Times Fiction Best Sellers with an abstract of In this paper, we explore the surprisingly interconnected worlds of medical equipment repairers in Maine and the New York Times Fiction Best Sellers list. While at first glance, these two seemingly disparate subjects may appear to have nothing in common, our research reveals a fascinating correlation that may leave you reaching for your stethoscope and detective hat simultaneously. By analyzing data from the Bureau of Labor Statistics and the Hawes list, we uncovered a significant correlation coefficient of 0.8992521 and p < 0.01 from 2003 to 2014. The implications of our findings are as gripping as a best-selling thriller novel, hinting at a potentially untold saga of how the repair of medical equipment might be intertwined with the literary preferences of fiction enthusiasts. So, fasten your seatbelts and hold onto your copy of "Gray's Anatomy" because this research is about to take you on a "novel" journey through the unexpected connections in the worlds of healthcare and literature.

ChatGPT:

"medical equipment repairers Maine", "New York Times Fiction Best Sellers correlation", "Bureau of Labor Statistics data analysis", "Hawes list correlation coefficient", "impact of medical equipment repair on literary preferences"

*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 medical equipment repairers in Maine
Detailed data title: BLS estimate of medical equipment repairers in Maine
Source: Bureau of Larbor Statistics
See what else correlates with The number of medical equipment repairers in Maine

New York Times Fiction Best Sellers
Detailed data title: Number of unique fictional books on the New York Times Best Seller List (counting repeat books only once)
Source: Hawes
See what else correlates with New York Times Fiction Best Sellers

Correlation r = 0.8992521 (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 = 0.8086544 (Coefficient of determination)
This means 80.9% of the change in the one variable (i.e., New York Times Fiction Best Sellers) is predictable based on the change in the other (i.e., The number of medical equipment repairers in Maine) over the 12 years from 2003 through 2014.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 6.9E-5.^Show 0.0000688772035969964800000000
The p-value is a measure of how probable it is that we would randomly find a result this extreme.^Note 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 0.9 in 0.0069% of random cases. Said differently, if you correlated 14,519 random variables^Note Which I absolutely did.
with the same 11 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 11 because we have two variables measured over a period of 12 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.

[ 0.67, 0.97 ] 95% correlation confidence interval (using the Fisher z-transformation)
^{Read more about the confidence interval} 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: ^Note 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.

	2003	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014
The number of medical equipment repairers in Maine (Laborers)	40	70	60	60	80	140	130	100	160	120	110	90
New York Times Fiction Best Sellers (NYT Best Sellers)	14	14	23	20	20	34	35	31	36	35	31	20

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^Note 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^Note 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. ^{Show the steps to do this.} 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([40,70,60,60,80,140,130,100,160,120,110,90,])
array_2 = np.array([14,14,23,20,20,34,35,31,36,35,31,20,])
array_1_name = "The number of medical equipment repairers in Maine"
array_2_name = "New York Times Fiction Best Sellers"

# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)

# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)

Reuseable content

You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. ^Note 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.
For more on re-use permissions, or to get a signed release form, see tylervigen.com/permission.

Download images for these variables:

High resolution line chart ^Note 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 medical equipment repairers in Maine
Line chart for only New York Times Fiction Best Sellers
AI-generated correlation image
The spurious research paper: A Novel Connection: Exploring the Link Between Medical Equipment Repairers in Maine and New York Times Fiction Best Sellers

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Correlation ID: 4182 · Black Variable ID: 9027 · Red Variable ID: 96


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