Spurious correlation #1,413 · 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 foundry mold and coremakers in Massachusetts and the second variable is Google searches for 'how to treat a snake bite'. The chart goes from 2004 to 2022, 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 foundry mold and coremakers in Massachusetts and the second variable is Google searches for 'how to treat a snake bite'. The chart goes from 2004 to 2022, and the two variables track closely in value over that time.

Download png, svg

AI explanation

More foundry mold and coremakers mean more snake-shaped molds being made, leading to a surge in lifelike training models for practicing snake bite treatments. As the saying goes, "When life gives you more moldmakers, you also get better at dealing with bites that aren't so easy to handle!"

^{Show image generation prompt} Model: dalle-3
Prompt: Create an image of a bustling foundry workshop in black and white newspaper illustration style. The setting should depict skilled mold and coremakers crafting intricate molds from molten metal. Amid the commotion, one of the workers stealthily retrieves their phone to search "how to treat a snake bite" on Google, hinting at an upcoming camping trip. Be sure to capture the energy of the workshop and the worker's discreet action amidst the chaos. 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 foundry mold and coremakers in Massachusetts and Google searches for 'how to treat a snake bite'. 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: Symbolism A black-and-white newspaper illustration An image that looks like it is a scene from a Pixar movie A TIME magazine cover image High-tech
ChatGPT: A black-and-white newspaper illustration

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 foundry mold and coremakers in Massachusetts and Google searches for 'how to treat a snake bite' together. Keep the description simple.
ChatGPT: In a busy foundry workshop in Massachusetts, a group of skilled mold and coremakers is hard at work, shaping molten metal into intricate, precise molds. Amidst the clatter and heat of the workshop, one of the workers discreetly pulls out their phone and searches "how to treat a snake bite" on Google, as a precaution for their upcoming camping trip.

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 black-and-white newspaper illustration ] and depicting this scene: In a busy foundry workshop in Massachusetts, a group of skilled mold and coremakers is hard at work, shaping molten metal into intricate, precise molds. Amidst the clatter and heat of the workshop, one of the workers discreetly pulls out their phone and searches "how to treat a snake bite" on Google, as a precaution for their upcoming camping trip. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Create an image of a bustling foundry workshop in black and white newspaper illustration style. The setting should depict skilled mold and coremakers crafting intricate molds from molten metal. Amid the commotion, one of the workers stealthily retrieves their phone to search "how to treat a snake bite" on Google, hinting at an upcoming camping trip. Be sure to capture the energy of the workshop and the worker's discreet action amidst the chaos.

*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 increases in The number of foundry mold and coremakers in Massachusetts positively influenced how to treat a snake bite (Google searches for 'how to treat a snake bite').

AI academic paper

(Because p < 0.01)

Striking While the Iron is Hot: The Foundry of Serpent Sourcing and Snakebite Solutions in Massachusetts

Journal of Herpetological Engineering

Jan 2024

Reminder: This paper is AI-generated. Not real!

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

Please make up a literature review section of an academic research paper presenting the findings of the connection between The number of foundry mold and coremakers in Massachusetts and Google searches for 'how to treat a snake bite'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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

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

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

Here is the title and abstract of the paper:
[[TITLE]]
"Striking While the Iron is Hot: The Foundry of Serpent Sourcing and Snakebite Solutions in Massachusetts"

[[ABSTRACT]]
This study examines the fascinating relationship between the number of foundry mold and coremakers in Massachusetts and Google searches for "how to treat a snake bite." Utilizing data from the Bureau of Labor Statistics and Google Trends, we explored this unexpected connection, uncovering a correlation coefficient of 0.6197470 with p < 0.01 for the years 2004 to 2022. The findings shed light on the intriguing interplay between industrial occupations and public interest in snakebite remedies. As we delve into the data, we also reveal some serpentine surprises and unearth the heat-seeking behavior of these seemingly unrelated phenomena. This research presents a fresh perspective on the curious intersections between labor statistics and public health inquiries, proving that sometimes, when it comes to uncovering connections, one just needs to strike while the iron is hot.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
INTRODUCTION
The dynamic interplay between industrial occupations and public health inquiries has long been a subject of academic curiosity. In this study, we set our sights on the unusual nexus between the number of foundry mold and coremakers in Massachusetts and Google searches for "how to treat a snake bite." This unexpected pairing led us down a winding path filled with surprising correlations, serpentine insights, and the unearthing of unforeseen connections. As we sifted through the data, we couldn't help but marvel at the intriguing dance of molten metal and medical anxieties that played out before our analytical eyes. It is said that truth is stranger than fiction, and in this case, the strange truth of the foundry of serpent sourcing and snakebite solutions in Massachusetts certainly did not disappoint.
The state of Massachusetts, known for its historical relevance in the industrial revolution, has a rich landscape of foundries and a rather unexpected presence of slithering creatures. As we venture into this research, we are reminded of the old adage, "where there's smoke, there's fire." In this case, where there are foundry mold and coremakers, there seems to be a surprising, albeit statistical, attraction to snakebite remedies.
Our investigation, utilizing data from the Bureau of Labor Statistics and Google Trends, yielded a correlation coefficient of 0.6197470 with p < 0.01 for the years 2004 to 2022. As we untangled the web of data, the threads of correlation between these seemingly disparate elements became increasingly apparent, much like a snake shedding its old skin to reveal a new, unexpected connection. The findings of this study offer an illuminating perspective on the nuanced web of industrial activity and public health preoccupations, providing a refreshing break from the iron grip of traditional research paradigms.
In this paper, we embark on a journey that takes us from the clang of metalworking to the hiss of serpents, unveiling the heat-seeking behavior of these ostensibly unrelated phenomena. Through this exploration, we aim to inspire future investigations into the unexpected encounters that await those who venture into the tangled underbrush of data analysis. It is our hope that this study will serve as a reminder that in the realm of research, one should always be prepared for the unexpected, for as we know, sometimes the most striking connections are found when the iron is hot.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

In Smith's seminal work, "Industrial Alchemy: The Art and Science of Foundry Mold and Coremaking," the authors document the historical evolution of foundry processes and their enduring impact on industrial landscapes. The intricate dance of sand, resin, and molten metal unfolds before the reader, offering a comprehensive understanding of the techniques employed by foundry mold and coremakers. While the focus of this study is predominantly on the craftsmanship and industrial significance of foundry operations, the underlying theme of transformation and metamorphosis resonates curiously with our exploration of the unexpected connections between foundry occupations and snakebite inquiries.

Doe's comprehensive analysis, "The Epidemiology of Snakebites and Their Treatment," provides a detailed account of the public's interactions with snakebites, revealing the anxieties and queries that arise when faced with encounters with these slithering creatures. The authors unpack the various treatment methods and public inquiries surrounding snakebites, shedding light on the nuances of medical remedies and popular concerns. This study acts as a foundation for our investigation, as it underscores the relevance and pervasiveness of snakebite-related queries in the public domain.

Jones, in "From the Forge to the Forest: Tracing Interdisciplinary Connections," offers an interdisciplinary exploration of seemingly unrelated phenomena, tracing unexpected connections across diverse domains. While the primary focus of this work is on interdisciplinary collaborations and knowledge exchanges, the underlying premise of uncovering surprising parallels and intersections serves as a thought-provoking backdrop for our examination of the foundry of serpent sourcing and snakebite solutions in Massachusetts.

Turning to non-fiction literature, the works of Steve Irwin and Bear Grylls provide engaging accounts of encounters with snakes and wilderness survival tactics. "The Snakebite Survival Guide" by Irwin and "Wilderness Survival: Mastering the Great Outdoors" by Grylls offer insights into the practical aspects of handling snake encounters and navigating perilous terrains. These sources offer a compelling glimpse into the real-world implications of snakebite occurrences and the need for practical solutions.

In the realm of fiction, the novels "The Serpent's Secret" by Sayantani DasGupta and "The Poisonwood Bible" by Barbara Kingsolver introduce narratives that intertwine serpentine symbolism with broader themes of transformation and revelation. While these literary works may seem tangential to our research focus, the symbolic resonance of serpents and their potential to elicit unexpected outcomes serves as an intriguing parallel to the unanticipated connections we aim to explore.

Departing from traditional literary sources, the animated series "The Wild Thornberrys" and "Dora the Explorer" stand out as childhood shows that have brought the wonders of wildlife and adventurous exploration to young audiences. The encounters with various creatures, including snakes, in these animated representations resonate with our exploration of the coalescence of industrial activities and public interest in snakebite remedies.

As we survey this eclectic array of sources, it becomes evident that the enigmatic allure of serpents and the industrial craft of foundry mold and coremaking intersect in peculiar ways, inviting us to venture into uncharted territory where unexpected connections await.

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

Please make up the methodology section of an academic research paper presenting the findings of the connection between The number of foundry mold and coremakers in Massachusetts and Google searches for 'how to treat a snake bite'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Your research team collected data from all across the internet, but mostly just used information from Bureau of Larbor Statistics and Google Trends . You used data from 2004 to 2022

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]]
"Striking While the Iron is Hot: The Foundry of Serpent Sourcing and Snakebite Solutions in Massachusetts"

[[ABSTRACT]]
This study examines the fascinating relationship between the number of foundry mold and coremakers in Massachusetts and Google searches for "how to treat a snake bite." Utilizing data from the Bureau of Labor Statistics and Google Trends, we explored this unexpected connection, uncovering a correlation coefficient of 0.6197470 with p < 0.01 for the years 2004 to 2022. The findings shed light on the intriguing interplay between industrial occupations and public interest in snakebite remedies. As we delve into the data, we also reveal some serpentine surprises and unearth the heat-seeking behavior of these seemingly unrelated phenomena. This research presents a fresh perspective on the curious intersections between labor statistics and public health inquiries, proving that sometimes, when it comes to uncovering connections, one just needs to strike while the iron is hot.

[[INTRODUCTION]]
INTRODUCTION
The dynamic interplay between industrial occupations and public health inquiries has long been a subject of academic curiosity. In this study, we set our sights on the unusual nexus between the number of foundry mold and coremakers in Massachusetts and Google searches for "how to treat a snake bite." This unexpected pairing led us down a winding path filled with surprising correlations, serpentine insights, and the unearthing of unforeseen connections. As we sifted through the data, we couldn't help but marvel at the intriguing dance of molten metal and medical anxieties that played out before our analytical eyes. It is said that truth is stranger than fiction, and in this case, the strange truth of the foundry of serpent sourcing and snakebite solutions in Massachusetts certainly did not disappoint.
The state of Massachusetts, known for its historical relevance in the industrial revolution, has a rich landscape of foundries and a rather unexpected presence of slithering creatures. As we venture into this research, we are reminded of the old adage, "where there's smoke, there's fire." In this case, where there are foundry mold and coremakers, there seems to be a surprising, albeit statistical, attraction to snakebite remedies.
Our investigation, utilizing data from the Bureau of Labor Statistics and Google Trends, yielded a correlation coefficient of 0.6197470 with p < 0.01 for the years 2004 to 2022. As we untangled the web of data, the threads of correlation between these seemingly disparate elements became increasingly apparent, much like a snake shedding its old skin to reveal a new, unexpected connection. The findings of this study offer an illuminating perspective on the nuanced web of industrial activity and public health preoccupations, providing a refreshing break from the iron grip of traditional research paradigms.
In this paper, we embark on a journey that takes us from the clang of metalworking to the hiss of serpents, unveiling the heat-seeking behavior of these ostensibly unrelated phenomena. Through this exploration, we aim to inspire future investigations into the unexpected encounters that await those who venture into the tangled underbrush of data analysis. It is our hope that this study will serve as a reminder that in the realm of research, one should always be prepared for the unexpected, for as we know, sometimes the most striking connections are found when the iron is hot.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

The methodology employed in this research endeavors to untangle the peculiar correlation between the number of foundry mold and coremakers in Massachusetts and Google searches for "how to treat a snake bite." To embark on this enigmatic journey, we harnessed data from the Bureau of Labor Statistics and Google Trends from the years 2004 to 2022, utilizing a confluence of numerical and contextual analyses reminiscent of the timeless dance of the tango – a union of precision and allure.

Data Collection:
Our research team diligently scoured the Bureau of Labor Statistics database, navigating a labyrinth of industrial occupation categories, and extracting the captivating figures pertaining to foundry mold and coremakers in the state of Massachusetts. This process involved a veritable excavation of data, akin to unearthing hidden treasures buried beneath the statistical bedrock. Furthermore, we turned our attention to the digital realm, harnessing the power of Google Trends to capture the ebbs and flows of public interest in snakebite remedies, akin to capturing the elusive movements of a slithering serpent, gracefully and yet elusively.

Data Processing:
In order to corral the sheer diversity of data garnered from these disparate sources, we embraced a multifaceted approach. We harmonized the disparate datasets, weaving a tapestry of statistical significance for the foundry mold and coremakers, while concurrently deciphering the cryptic patterns of public search behavior for snakebite solutions. This intricate process resembled the delicate art of balancing the temperamental elements in an ancient alchemical exercise, aiming to distill the essence of correlation from the raw material of data variance.

Statistical Analysis:
With the assemblage of data at our disposal, we set forth on a statistical voyage to unravel the mysteries concealed within. Employing advanced statistical methods including regression analysis and time-series modeling, we sought to discern the underlying patterns and unearth the latent correlations. This phase of the methodology embraced the unwavering pursuit of truth among the numerical constellations, much like a stargazer forever seeking the elusive glimmer of insight amidst the vast expanse of data points.

Witnessing the emergence of correlations between the number of foundry mold and coremakers and the volume of Google searches for snakebite remedies was akin to stumbling upon a trove of historical marvels. It is the unwavering commitment to the search for scientific truth that has guided us through this labyrinth of data and methodology, unveiling the unexpected as a testimony to the serendipitous nature of academic inquiry and the enigmatic allure of industrial occupations and public health intrigues.

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

Please make up the discussion section of an academic research paper presenting the findings of the connection between The number of foundry mold and coremakers in Massachusetts and Google searches for 'how to treat a snake bite'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Limit your response to 500 tokens.

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

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

[[TITLE]]
"Striking While the Iron is Hot: The Foundry of Serpent Sourcing and Snakebite Solutions in Massachusetts"

[[ABSTRACT]]
This study examines the fascinating relationship between the number of foundry mold and coremakers in Massachusetts and Google searches for "how to treat a snake bite." Utilizing data from the Bureau of Labor Statistics and Google Trends, we explored this unexpected connection, uncovering a correlation coefficient of 0.6197470 with p < 0.01 for the years 2004 to 2022. The findings shed light on the intriguing interplay between industrial occupations and public interest in snakebite remedies. As we delve into the data, we also reveal some serpentine surprises and unearth the heat-seeking behavior of these seemingly unrelated phenomena. This research presents a fresh perspective on the curious intersections between labor statistics and public health inquiries, proving that sometimes, when it comes to uncovering connections, one just needs to strike while the iron is hot.

[[LITERATURE REVIEW]]
In Smith's seminal work, "Industrial Alchemy: The Art and Science of Foundry Mold and Coremaking," the authors document the historical evolution of foundry processes and their enduring impact on industrial landscapes. The intricate dance of sand, resin, and molten metal unfolds before the reader, offering a comprehensive understanding of the techniques employed by foundry mold and coremakers. While the focus of this study is predominantly on the craftsmanship and industrial significance of foundry operations, the underlying theme of transformation and metamorphosis resonates curiously with our exploration of the unexpected connections between foundry occupations and snakebite inquiries.
Doe's comprehensive analysis, "The Epidemiology of Snakebites and Their Treatment," provides a detailed account of the public's interactions with snakebites, revealing the anxieties and queries that arise when faced with encounters with these slithering creatures. The authors unpack the various treatment methods and public inquiries surrounding snakebites, shedding light on the nuances of medical remedies and popular concerns. This study acts as a foundation for our investigation, as it underscores the relevance and pervasiveness of snakebite-related queries in the public domain.
Jones, in "From the Forge to the Forest: Tracing Interdisciplinary Connections," offers an interdisciplinary exploration of seemingly unrelated phenomena, tracing unexpected connections across diverse domains. While the primary focus of this work is on interdisciplinary collaborations and knowledge exchanges, the underlying premise of uncovering surprising parallels and intersections serves as a thought-provoking backdrop for our examination of the foundry of serpent sourcing and snakebite solutions in Massachusetts.
Turning to non-fiction literature, the works of Steve Irwin and Bear Grylls provide engaging accounts of encounters with snakes and wilderness survival tactics. "The Snakebite Survival Guide" by Irwin and "Wilderness Survival: Mastering the Great Outdoors" by Grylls offer insights into the practical aspects of handling snake encounters and navigating perilous terrains. These sources offer a compelling glimpse into the real-world implications of snakebite occurrences and the need for practical solutions.
In the realm of fiction, the novels "The Serpent's Secret" by Sayantani DasGupta and "The Poisonwood Bible" by Barbara Kingsolver introduce narratives that intertwine serpentine symbolism with broader themes of transformation and revelation. While these literary works may seem tangential to our research focus, the symbolic resonance of serpents and their potential to elicit unexpected outcomes serves as an intriguing parallel to the unanticipated connections we aim to explore.
Departing from traditional literary sources, the animated series "The Wild Thornberrys" and "Dora the Explorer" stand out as childhood shows that have brought the wonders of wildlife and adventurous exploration to young audiences. The encounters with various creatures, including snakes, in these animated representations resonate with our exploration of the coalescence of industrial activities and public interest in snakebite remedies.
As we survey this eclectic array of sources, it becomes evident that the enigmatic allure of serpents and the industrial craft of foundry mold and coremaking intersect in peculiar ways, inviting us to venture into uncharted territory where unexpected connections await.

[[RESULTS]]
The exploration of the connection between the number of foundry mold and coremakers in Massachusetts and Google searches for "how to treat a snake bite" yielded some striking revelations. The correlation coefficient of 0.6197470 with an r-squared of 0.3840864 and p < 0.01 indicated a robust relationship between these seemingly unrelated variables. It appears that the allure of snakebite remedies and the crucible of foundry work have forged an unexpected bond, creating a web of statistical significance that is not easily shrugged off.
The scatterplot (Fig. 1) presented in this study visually encapsulates the remarkable correlation observed between the two variables. The strong clustering of data points reinforces the notion that there is indeed more to this connection than meets the eye. One cannot help but marvel at the curious dance between the world of metalworking and the intriguing inquiries into serpent-related solutions that seem to have slithered into the public consciousness.
As we probed deeper into the data, we could not help but be reminded of the age-old adage that "truth is stranger than fiction." The statistically significant findings of this study underscore the need for an open mind when navigating the corridors of research, for one never knows what serpentine surprises may be lurking in the confines of apparently disparate data sets.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The findings of this study provide compelling evidence supporting the unexpected correlation between the number of foundry mold and coremakers in Massachusetts and Google searches for "how to treat a snake bite." The correlation coefficient of 0.6197470 with p < 0.01 aligns with previous research that has underscored the remarkable interplay between seemingly unrelated phenomena. Our results not only reinforced the previous literature's insights but also uncovered a serpent-like thread weaving through the landscape of industrial occupations and public health inquiries.

Smith's exposition on foundry processes highlighted the transformative nature of metalworking, mirroring the theme of metamorphosis apparent in our data. The fusion of sand, resin, and molten metal in foundry operations echoes the dynamism inherent in the public's interest in snakebite solutions. This parallel emphasizes the need for a comprehensive understanding of industrial craftsmanship and its potential impact on the public consciousness, echoing the adage that sometimes truth appears more intriguing than fiction.

Moreover, Doe's thorough investigation into snakebite treatment methods revealed the prevalent anxieties and queries associated with encounters with serpents. Our findings accentuate the enduring relevance of snakebite-related inquiries, shedding light on the pervasive nature of these concerns in the public domain. Just as foundry processes shape raw materials into refined products, our study illustrates the shaping of public interest as it intertwines with occupational dynamics, forging an unexpected union between industrial pursuits and public health inquiries.

The unanticipated connections traced by Jones in interdisciplinary domains find resonance with our revelation of the interconnectedness between foundry activities and snakebite remedies. This convergence highlights the need for interdisciplinary perspectives in dissecting complex relationships and unlocking the enigmatic connections that lurk beneath the surface. The unexpected parallels between industrial craftsmanship and the public's preoccupation with snakebite remedies suggest that, much like a hidden treasure, intriguing connections await those who dare to delve into the uncharted territories of interdisciplinary exploration.

In closing, the statistically significant findings of this study substantiate the broader theme that underlies our investigation – the inextricable link between the domain of work and the realm of public inquiry. The evidence presented in this study serves as a testament to the serpentine surprises that can emerge from the depths of data analysis, beckoning researchers to navigate the intriguing corridors of interdisciplinary research with a keen eye for unexpected connections.

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

Please make up a short conclusion of an academic research paper presenting the findings of the connection between The number of foundry mold and coremakers in Massachusetts and Google searches for 'how to treat a snake bite'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
"Striking While the Iron is Hot: The Foundry of Serpent Sourcing and Snakebite Solutions in Massachusetts"

[[ABSTRACT]]
This study examines the fascinating relationship between the number of foundry mold and coremakers in Massachusetts and Google searches for "how to treat a snake bite." Utilizing data from the Bureau of Labor Statistics and Google Trends, we explored this unexpected connection, uncovering a correlation coefficient of 0.6197470 with p < 0.01 for the years 2004 to 2022. The findings shed light on the intriguing interplay between industrial occupations and public interest in snakebite remedies. As we delve into the data, we also reveal some serpentine surprises and unearth the heat-seeking behavior of these seemingly unrelated phenomena. This research presents a fresh perspective on the curious intersections between labor statistics and public health inquiries, proving that sometimes, when it comes to uncovering connections, one just needs to strike while the iron is hot.

[[INTRDUCTION]]
INTRODUCTION
The dynamic interplay between industrial occupations and public health inquiries has long been a subject of academic curiosity. In this study, we set our sights on the unusual nexus between the number of foundry mold and coremakers in Massachusetts and Google searches for "how to treat a snake bite." This unexpected pairing led us down a winding path filled with surprising correlations, serpentine insights, and the unearthing of unforeseen connections. As we sifted through the data, we couldn't help but marvel at the intriguing dance of molten metal and medical anxieties that played out before our analytical eyes. It is said that truth is stranger than fiction, and in this case, the strange truth of the foundry of serpent sourcing and snakebite solutions in Massachusetts certainly did not disappoint.
The state of Massachusetts, known for its historical relevance in the industrial revolution, has a rich landscape of foundries and a rather unexpected presence of slithering creatures. As we venture into this research, we are reminded of the old adage, "where there's smoke, there's fire." In this case, where there are foundry mold and coremakers, there seems to be a surprising, albeit statistical, attraction to snakebite remedies.
Our investigation, utilizing data from the Bureau of Labor Statistics and Google Trends, yielded a correlation coefficient of 0.6197470 with p < 0.01 for the years 2004 to 2022. As we untangled the web of data, the threads of correlation between these seemingly disparate elements became increasingly apparent, much like a snake shedding its old skin to reveal a new, unexpected connection. The findings of this study offer an illuminating perspective on the nuanced web of industrial activity and public health preoccupations, providing a refreshing break from the iron grip of traditional research paradigms.
In this paper, we embark on a journey that takes us from the clang of metalworking to the hiss of serpents, unveiling the heat-seeking behavior of these ostensibly unrelated phenomena. Through this exploration, we aim to inspire future investigations into the unexpected encounters that await those who venture into the tangled underbrush of data analysis. It is our hope that this study will serve as a reminder that in the realm of research, one should always be prepared for the unexpected, for as we know, sometimes the most striking connections are found when the iron is hot.

[[RESULTS]]
The exploration of the connection between the number of foundry mold and coremakers in Massachusetts and Google searches for "how to treat a snake bite" yielded some striking revelations. The correlation coefficient of 0.6197470 with an r-squared of 0.3840864 and p < 0.01 indicated a robust relationship between these seemingly unrelated variables. It appears that the allure of snakebite remedies and the crucible of foundry work have forged an unexpected bond, creating a web of statistical significance that is not easily shrugged off.
The scatterplot (Fig. 1) presented in this study visually encapsulates the remarkable correlation observed between the two variables. The strong clustering of data points reinforces the notion that there is indeed more to this connection than meets the eye. One cannot help but marvel at the curious dance between the world of metalworking and the intriguing inquiries into serpent-related solutions that seem to have slithered into the public consciousness.
As we probed deeper into the data, we could not help but be reminded of the age-old adage that "truth is stranger than fiction." The statistically significant findings of this study underscore the need for an open mind when navigating the corridors of research, for one never knows what serpentine surprises may be lurking in the confines of apparently disparate data sets.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our research has brought to light the unexpected bond between the number of foundry mold and coremakers in Massachusetts and Google searches for "how to treat a snake bite." The robust correlation coefficient of 0.6197470 with p < 0.01 for the years 2004 to 2022 highlights the intriguing synchrony between these seemingly unrelated domains. It seems that, much like a snake charmer coaxing a serpent out of its slumber, the foundry industry has managed to captivate the public's interest in snakebite remedies.

The findings of this study serve as a compelling reminder that in the realm of research, one should always be prepared for the unexpected. The unearthing of this statistically significant relationship adds a unique twist to the enigmatic dance of molten metal and medical mysteries, evoking a sense of wonder akin to stumbling upon a hidden serpent in the underbrush of data analysis.

As we reflect on the coiling correlations uncovered in this investigation, it becomes evident that the connection between foundry mold and coremakers and queries about snakebite treatments is not a mere statistical artefact, but rather a tale of intertwined destinies, much like the entwining of two snakes in the throes of a serpentine tango.

While this research has shed light on the captivating cadence between these disparate elements, it is important to note that further inquiry may not be necessary. As the saying goes, "when you've struck iron, there's no need to keep hammering." Therefore, we assert that no additional research in this area is warranted at this time.

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 Striking While the Iron is Hot: The Foundry of Serpent Sourcing and Snakebite Solutions in Massachusetts. Respond only with the name of a fictional academic journal.

ChatGPT:

Journal of Herpetological Engineering

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 Striking While the Iron is Hot: The Foundry of Serpent Sourcing and Snakebite Solutions in Massachusetts. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for New England Herpetological Research (INHER)

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 Striking While the Iron is Hot: The Foundry of Serpent Sourcing and Snakebite Solutions in Massachusetts with an abstract of This study examines the fascinating relationship between the number of foundry mold and coremakers in Massachusetts and Google searches for "how to treat a snake bite." Utilizing data from the Bureau of Labor Statistics and Google Trends, we explored this unexpected connection, uncovering a correlation coefficient of 0.6197470 with p < 0.01 for the years 2004 to 2022. The findings shed light on the intriguing interplay between industrial occupations and public interest in snakebite remedies. As we delve into the data, we also reveal some serpentine surprises and unearth the heat-seeking behavior of these seemingly unrelated phenomena. This research presents a fresh perspective on the curious intersections between labor statistics and public health inquiries, proving that sometimes, when it comes to uncovering connections, one just needs to strike while the iron is hot.

ChatGPT:

foundry mold, coremakers, Massachusetts, snake bite treatment, snakebite remedies, correlation coefficient, industrial occupations, public health inquiries, labor statistics, Google Trends, Bureau of Labor Statistics

*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 foundry mold and coremakers in Massachusetts
Detailed data title: BLS estimate of foundry mold and coremakers in Massachusetts
Source: Bureau of Larbor Statistics
See what else correlates with The number of foundry mold and coremakers in Massachusetts

Google searches for 'how to treat a snake bite'
Detailed data title: Relative volume of Google searches for 'how to treat a snake bite' (Worldwide, without quotes)
Source: Google Trends
Additional Info: ^{See full details} Relative search volume (not absolute numbers)

See what else correlates with Google searches for 'how to treat a snake bite'

Correlation r = 0.6197470 (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 = 0.3840864 (Coefficient of determination)
This means 38.4% of the change in the one variable (i.e., Google searches for 'how to treat a snake bite') is predictable based on the change in the other (i.e., The number of foundry mold and coremakers in Massachusetts) over the 19 years from 2004 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.0047.^Show 0.0046517131929514880000000000
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 0.62 in 0.47% of random cases. Said differently, if you correlated 215 random variables^Note Which I absolutely did.
with the same 18 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 18 because we have two variables measured over a period of 19 years. It's just the number of years minus ( the number of variables minus one ), which in this case simplifies to the number of years minus one.
you would randomly expect to find a correlation as strong as this one.

[ 0.23, 0.84 ] 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.

	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021	2022
The number of foundry mold and coremakers in Massachusetts (Laborers)	220	240	170	330	150	270	230	290	210	150	130	140	170	210	210	280	190	180	210
Google searches for 'how to treat a snake bite' (Rel. search volume)	14.25	23.75	14	19.75	12	17.1667	15.6667	14	14.9167	13	12.9167	11.9167	10.25	13.1667	17.1667	16.0833	15.5833	14.4167	17.5

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.
Outlandish outliers: There are "outliers" in this data.^Note In concept, "outlier" just means "way different than the rest of your dataset." When calculating a correlation like this, they are particularly impactful because a single outlier can substantially increase your correlation.

For the purposes of this project, I counted a point as an outlier if it the residual was two standard deviations from the mean.

(This bullet point only shows up in the details page on charts that do, in fact, have outliers.)
They stand out on the scatterplot above: notice the dots that are far away from any other dots. I intentionally mishandeled outliers, which makes the correlation look extra strong.

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([220,240,170,330,150,270,230,290,210,150,130,140,170,210,210,280,190,180,210,])
array_2 = np.array([14.25,23.75,14,19.75,12,17.1667,15.6667,14,14.9167,13,12.9167,11.9167,10.25,13.1667,17.1667,16.0833,15.5833,14.4167,17.5,])
array_1_name = "The number of foundry mold and coremakers in Massachusetts"
array_2_name = "Google searches for 'how to treat a snake bite'"

# 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
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Line chart for only The number of foundry mold and coremakers in Massachusetts
Line chart for only Google searches for 'how to treat a snake bite'
AI-generated correlation image
The spurious research paper: Striking While the Iron is Hot: The Foundry of Serpent Sourcing and Snakebite Solutions in Massachusetts

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Correlation ID: 1413 · Black Variable ID: 9553 · Red Variable ID: 1378


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