Spurious correlation #3,162 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Master's degrees awarded in Architecture and the second variable is The number of secretaries in Virgin Islands. The chart goes from 2012 to 2021, 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 Master's degrees awarded in Architecture and the second variable is The number of secretaries in Virgin Islands. The chart goes from 2012 to 2021, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As the number of architecture graduates dwindled, so did their grandiose plans for elaborate, state-of-the-art office buildings in the Virgin Islands. Without these majestic structures, the demand for secretaries who could efficiently manage such non-existent architectural marvels plummeted. In a tragic twist, the virgin islands became significantly less 'architecturally organized', leading to a shortage of secretarial work and a surplus of unfulfilled dreams of glass-walled skyscrapers by the crystal-clear waters.

^{Show image generation prompt} Model: dalle-3
Prompt: Generating prompt... Prompt: Create an image of a small office setting in the Virgin Islands, where a group of secretaries are gathered around a large drafting table, discussing project schedules and flipping through blueprints. The office is adorned with a sign that proudly proclaims "Master's Degrees in Architecture and Related Services Awarded Here." As the master's degrees in architecture decline, the office becomes quieter and the secretaries find themselves with fewer blueprints to draft and schedules to architect. This prompt aims to create an engaging visual representation of the described scene using the style of a Discovery magazine cover image. 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: Master's degrees awarded in Architecture and related services and The number of secretaries in Virgin Islands. 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: Steampunk Hyper-realistic A Discovery magazine cover image Futuristic Concept art
ChatGPT: A Discovery magazine cover image

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 Master's degrees awarded in Architecture and related services and The number of secretaries in Virgin Islands, in the following situation: As the number of master's degrees in architecture fell, so did the demand for secretaries to "draw up" plans and "architect" schedules. With fewer architects, there was less "draft"ing work for secretaries in the Virgin Islands.. Keep the description simple.
ChatGPT: In a small office in the Virgin Islands, a sign proudly proclaims "Master's Degrees in Architecture and Related Services Awarded Here." Inside, a group of secretaries is gathered around a large drafting table, flipping through blueprints and discussing project schedules. As the number of master's degrees in architecture falls, the office becomes quieter, and the once busy secretaries find themselves with fewer blueprints to draft and fewer schedules to architect.

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 Discovery magazine cover image ] and depicting this scene: In a small office in the Virgin Islands, a sign proudly proclaims "Master's Degrees in Architecture and Related Services Awarded Here." Inside, a group of secretaries is gathered around a large drafting table, flipping through blueprints and discussing project schedules. As the number of master's degrees in architecture falls, the office becomes quieter, and the once busy secretaries find themselves with fewer blueprints to draft and fewer schedules to architect. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generating prompt... Prompt: Create an image of a small office setting in the Virgin Islands, where a group of secretaries are gathered around a large drafting table, discussing project schedules and flipping through blueprints. The office is adorned with a sign that proudly proclaims "Master's Degrees in Architecture and Related Services Awarded Here." As the master's degrees in architecture decline, the office becomes quieter and the secretaries find themselves with fewer blueprints to draft and schedules to architect. This prompt aims to create an engaging visual representation of the described scene using the style of a Discovery magazine cover image.

*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 a decrease in Master's degrees awarded in Architecture and related services caused The number of secretaries in Virgin Islands to decrease.

AI academic paper

(Because p < 0.01)

Building a Foundation: The Architectural Degree-Seekers and Secretary Synchronicity in the Virgin Islands

Journal of Coastal Architecture and Island Studies

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 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 Master's degrees awarded in Architecture and related services and The number of secretaries in Virgin Islands. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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

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

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

Here is the title and abstract of the paper:
[[TITLE]]
Building a Foundation: The Architectural Degree-Seekers and Secretary Synchronicity in the Virgin Islands

[[ABSTRACT]]
In this study, we delve into the perplexing world of higher education and labor trends to investigate the curious connection between the number of Master's degrees awarded in Architecture and related services and the population of secretaries in the illustrious Virgin Islands. As we unravel this perplexing puzzle, we discuss the correlations and implications that may arise from this unexpected relationship.

It is often said that "an architect is an artist who marries art with functionality," but could it be that these artful individuals are indirectly influencing the administration of the Virgin Islands? Our comprehensive analysis, unlike a wobbly building, stands firm, drawing from the esteemed National Center for Education Statistics and the Bureau of Labor Statistics. We unearthed a surprising correlation coefficient of 0.9857701 and a p-value less than 0.01 from the years 2012 to 2021, suggesting a strong association between these two seemingly unrelated entities.

While one might expect architectural pursuits to primarily impact the built environment, our findings unveil a potential ripple effect on the administrative landscape of the Virgin Islands. This correlation is not merely a facade, for it opens the door to a new avenue of inquiry into the intricate web of societal dynamics and professional interplay. As the saying goes, "What did the building say to the secretary? I've got a lot of support!"

Thus, our findings not only shed light on this surprising correlation, but they also underscore the need for further investigation into the intriguing interplay between educational achievements and labor demands.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The relationship between educational attainment and labor market dynamics has long been a topic of interest for researchers and policymakers. However, within this complex web of connections, there are often unexpected associations that defy conventional wisdom. For instance, who would have thought that the number of Master's degrees awarded in Architecture and related services could be linked to the number of secretaries in the stunning and radiant setting of the Virgin Islands?
It is said that architects are experts at "window dressing," but could it be that their influence extends beyond mere aesthetics and into the administrative realm of the Virgin Islands? As we set out to uncover the mysteries behind this unlikely pairing, we must approach the task with the tenacity of a builder working on overtime – and maybe a good sense of humor, too.
Our research, much like a solid foundation, begins with a robust data set sourced from the esteemed National Center for Education Statistics and the Bureau of Labor Statistics. Through meticulous analysis, we identified a correlation coefficient of 0.9857701 and a p-value less than 0.01 over the years 2012 to 2021. It appears that the correlation between architectural degrees and the number of secretaries in the Virgin Islands is not just a happy accident, unlike stumbling upon a perfectly designed foyer in an unfamiliar building.
While one might expect the impact of architectural education to be confined to the realm of physical structures, our findings suggest a potentially broader influence that extends into the professional landscape of the Virgin Islands. This correlation, much like a well-crafted pun, is unexpected yet thought-provoking, prompting us to delve deeper into the interconnectedness of educational achievements and labor market demands.
Join us on this enlightening journey as we unveil the hidden ties that bind education, employment, and perhaps a few unexpected chuckles along the way. As the old adage goes, "Why do we tell actors to 'break a leg'? Because every play has a cast!" Similarly, every research endeavor has its surprises, and we're eager to share them with you.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

In their seminal work, Smith and Doe (2015) delve into the intricate relationship between higher education and labor market dynamics, uncovering surprising correlations that challenge conventional assumptions. Meanwhile, Jones (2018) examines the underexplored influence of niche academic disciplines on regional administrative landscapes, shedding light on the interconnected nature of educational pursuits and professional domains.

Turning our attention to non-fiction literature, "The Architecture of the Arkansas" by John Davis presents a comprehensive analysis of architectural trends in a specific region, offering insights into the potential broader impact of academic pursuits on local labor dynamics. Similarly, "Secretaries of the Sea" by Robert Johnson delves into the historical roles of administrative professionals in maritime settings, providing a unique perspective on the diverse contexts in which their skills are valued.

Venturing into the realm of fiction, "Concrete Castles" by Sarah Stone offers a fictional account of a talented architect whose designs seem to influence the lives of those around him in unexpected ways. In a similar vein, "The Secretary's Secret" by Emily White whimsically explores the hidden talents and contributions of a secretary in a bustling metropolis, weaving a tale of unexpected connections and serendipitous encounters.

As we expand our view beyond traditional scholarly sources, it's important to note that our investigation also drew upon unconventional inspiration, such as the profound wisdom found in bathroom graffiti, the cryptic messages concealed within fortune cookies, and even the philosophical musings scribbled on the back of CVS receipts. Sometimes, scholarly enlightenment can be found in the most unexpected places, much like discovering a diamond in the rough or a well-timed dad joke in a serious academic paper.

Now, as we embark on this whimsical yet rigorous exploration of the correlation between architectural degrees and the number of secretaries in the Virgin Islands, we must be prepared for surprises at every turn. After all, in the words of a wise architect, "Why don't architects play hide and seek? Because good buildings are always on display!" And so, our journey continues with a blend of scholarly acumen and a sprinkle of lighthearted absurdity, for in the realm of academic inquiry, a touch of levity can be the foundation of unexpected discoveries.

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 Master's degrees awarded in Architecture and related services and The number of secretaries in Virgin Islands. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Your research team collected data from all across the internet, but mostly just used information from National Center for Education Statistics and Bureau of Larbor Statistics . You used data from 2012 to 2021

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

Here is the title, abstract, and introduction of the paper:
[[TITLE]]
Building a Foundation: The Architectural Degree-Seekers and Secretary Synchronicity in the Virgin Islands

[[ABSTRACT]]
In this study, we delve into the perplexing world of higher education and labor trends to investigate the curious connection between the number of Master's degrees awarded in Architecture and related services and the population of secretaries in the illustrious Virgin Islands. As we unravel this perplexing puzzle, we discuss the correlations and implications that may arise from this unexpected relationship.

It is often said that "an architect is an artist who marries art with functionality," but could it be that these artful individuals are indirectly influencing the administration of the Virgin Islands? Our comprehensive analysis, unlike a wobbly building, stands firm, drawing from the esteemed National Center for Education Statistics and the Bureau of Labor Statistics. We unearthed a surprising correlation coefficient of 0.9857701 and a p-value less than 0.01 from the years 2012 to 2021, suggesting a strong association between these two seemingly unrelated entities.

While one might expect architectural pursuits to primarily impact the built environment, our findings unveil a potential ripple effect on the administrative landscape of the Virgin Islands. This correlation is not merely a facade, for it opens the door to a new avenue of inquiry into the intricate web of societal dynamics and professional interplay. As the saying goes, "What did the building say to the secretary? I've got a lot of support!"

Thus, our findings not only shed light on this surprising correlation, but they also underscore the need for further investigation into the intriguing interplay between educational achievements and labor demands.

[[INTRODUCTION]]
The relationship between educational attainment and labor market dynamics has long been a topic of interest for researchers and policymakers. However, within this complex web of connections, there are often unexpected associations that defy conventional wisdom. For instance, who would have thought that the number of Master's degrees awarded in Architecture and related services could be linked to the number of secretaries in the stunning and radiant setting of the Virgin Islands?
It is said that architects are experts at "window dressing," but could it be that their influence extends beyond mere aesthetics and into the administrative realm of the Virgin Islands? As we set out to uncover the mysteries behind this unlikely pairing, we must approach the task with the tenacity of a builder working on overtime – and maybe a good sense of humor, too.
Our research, much like a solid foundation, begins with a robust data set sourced from the esteemed National Center for Education Statistics and the Bureau of Labor Statistics. Through meticulous analysis, we identified a correlation coefficient of 0.9857701 and a p-value less than 0.01 over the years 2012 to 2021. It appears that the correlation between architectural degrees and the number of secretaries in the Virgin Islands is not just a happy accident, unlike stumbling upon a perfectly designed foyer in an unfamiliar building.
While one might expect the impact of architectural education to be confined to the realm of physical structures, our findings suggest a potentially broader influence that extends into the professional landscape of the Virgin Islands. This correlation, much like a well-crafted pun, is unexpected yet thought-provoking, prompting us to delve deeper into the interconnectedness of educational achievements and labor market demands.
Join us on this enlightening journey as we unveil the hidden ties that bind education, employment, and perhaps a few unexpected chuckles along the way. As the old adage goes, "Why do we tell actors to 'break a leg'? Because every play has a cast!" Similarly, every research endeavor has its surprises, and we're eager to share them with you.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

To explore the enigmatic relationship between the number of Master's degrees awarded in Architecture and related services and the population of secretaries in the Virgin Islands, our research team conducted a comprehensive analysis that was as thorough as an engineer checking the structural integrity of a skyscraper - and just as uplifting! Drawing from the National Center for Education Statistics and the Bureau of Labor Statistics, we gathered a myriad of data spanning the years 2012 to 2021, creating a robust foundation for our investigation.

Data Compilation:
Our first step in this peculiar journey involved scouring the digital depths of the internet, sifting through a multitude of sources to capture the most accurate and recent statistics. It was like a treasure hunt, but instead of gold doubloons, we found datasets and charts. We primarily relied on the National Center for Education Statistics and the Bureau of Labor Statistics, navigating their websites with the agility of a cat burglar - though with much less illicit intent, of course.

Correlation Analysis:
With our dataset in hand, we delved into the realm of statistical analysis. We calculated the correlation coefficient between the number of Master's degrees awarded in Architecture and related services and the population of secretaries in the Virgin Islands. The resulting coefficients were more connected than a duo of synchronized swimmers - unlike those of us attempting to dance in rhythm at a party.

Hypothesis Testing:
In addition to calculating the correlation coefficient, we conducted hypothesis testing to determine the statistical significance of the relationship between architectural degrees and the number of secretaries. The p-value obtained was so small, it made even the most modest of garden gnomes feel overconfident.

Qualitative Interviews:
In a departure from traditional research methods, we also ventured into the realm of qualitative interviews. We spoke with professionals in the architecture and administrative fields to gain insight into the potential interplay between these domains. It was a bit like chatting over coffee, except the topic was more about built environments and office dynamics than the latest celebrity gossip.

While we can't promise that our methodology was as straight-laced as the lines in an architectural blueprint, we can assure you that our data collection and analysis were as meticulous as a detail-oriented architect. Our findings may surprise you, much like the unexpected appearance of a door in a solid wall. So, join us in unraveling this peculiar entanglement and perhaps sharing a few chuckles along the way, much like a delightful surprise hidden in the floor plan of an old building.

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 Master's degrees awarded in Architecture and related services and The number of secretaries in Virgin Islands. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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

For the time period 2012 to 2021, you found a correlation 0.9857701, r-squared of 0.9717427, 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]]
Building a Foundation: The Architectural Degree-Seekers and Secretary Synchronicity in the Virgin Islands

[[ABSTRACT]]
In this study, we delve into the perplexing world of higher education and labor trends to investigate the curious connection between the number of Master's degrees awarded in Architecture and related services and the population of secretaries in the illustrious Virgin Islands. As we unravel this perplexing puzzle, we discuss the correlations and implications that may arise from this unexpected relationship.

It is often said that "an architect is an artist who marries art with functionality," but could it be that these artful individuals are indirectly influencing the administration of the Virgin Islands? Our comprehensive analysis, unlike a wobbly building, stands firm, drawing from the esteemed National Center for Education Statistics and the Bureau of Labor Statistics. We unearthed a surprising correlation coefficient of 0.9857701 and a p-value less than 0.01 from the years 2012 to 2021, suggesting a strong association between these two seemingly unrelated entities.

While one might expect architectural pursuits to primarily impact the built environment, our findings unveil a potential ripple effect on the administrative landscape of the Virgin Islands. This correlation is not merely a facade, for it opens the door to a new avenue of inquiry into the intricate web of societal dynamics and professional interplay. As the saying goes, "What did the building say to the secretary? I've got a lot of support!"

Thus, our findings not only shed light on this surprising correlation, but they also underscore the need for further investigation into the intriguing interplay between educational achievements and labor demands.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The relationship between educational attainment and labor market dynamics has long been a topic of interest for researchers and policymakers. However, within this complex web of connections, there are often unexpected associations that defy conventional wisdom. For instance, who would have thought that the number of Master's degrees awarded in Architecture and related services could be linked to the number of secretaries in the stunning and radiant setting of the Virgin Islands?
It is said that architects are experts at "window dressing," but could it be that their influence extends beyond mere aesthetics and into the administrative realm of the Virgin Islands? As we set out to uncover the mysteries behind this unlikely pairing, we must approach the task with the tenacity of a builder working on overtime – and maybe a good sense of humor, too.
Our research, much like a solid foundation, begins with a robust data set sourced from the esteemed National Center for Education Statistics and the Bureau of Labor Statistics. Through meticulous analysis, we identified a correlation coefficient of 0.9857701 and a p-value less than 0.01 over the years 2012 to 2021. It appears that the correlation between architectural degrees and the number of secretaries in the Virgin Islands is not just a happy accident, unlike stumbling upon a perfectly designed foyer in an unfamiliar building.
While one might expect the impact of architectural education to be confined to the realm of physical structures, our findings suggest a potentially broader influence that extends into the professional landscape of the Virgin Islands. This correlation, much like a well-crafted pun, is unexpected yet thought-provoking, prompting us to delve deeper into the interconnectedness of educational achievements and labor market demands.
Join us on this enlightening journey as we unveil the hidden ties that bind education, employment, and perhaps a few unexpected chuckles along the way. As the old adage goes, "Why do we tell actors to 'break a leg'? Because every play has a cast!" Similarly, every research endeavor has its surprises, and we're eager to share them with you.

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

The results of our rigorous analysis revealed a remarkably strong correlation between the number of Master's degrees awarded in Architecture and related services and the population of secretaries in the enchanting domain of the Virgin Islands. Our investigation uncovered a correlation coefficient of 0.9857701, suggesting a nearly perfect positive relationship between these two seemingly incongruent variables. This correlation coefficient is so high, it's almost as if these variables were designed to work together like an architect and a blueprint - they simply click!

Additionally, the r-squared value of 0.9717427 indicates that a staggering 97.17% of the variability in the number of secretaries can be explained by the number of architectural Master's degrees awarded. It's as if the influence of architectural education on the administrative landscape of the Virgin Islands is as clear as a blueprint on a construction site!

Our findings suggest that the link between architectural education and the demand for secretarial services in the Virgin Islands is not merely skin-deep; it runs as deep as the foundation of a sturdy building. With a p-value of less than 0.01, it's safe to say that this relationship is statistically significant. It's as significant as the impact of a foundation on a building – you certainly don't want to mess with it!

This strong association is depicted visually in Fig. 1, where a scatterplot reveals a clear upward trend between the number of architectural Master's degrees awarded and the population of secretaries in the Virgin Islands. One might even say that this relationship is as clear as the blue skies of the Virgin Islands – and just as breathtaking!

In conclusion, our research has unearthed a surprising link between the pursuit of architectural education and the realm of administrative support in the Virgin Islands. Just as architects plan meticulously to create their masterpieces, it seems this correlation was hiding in plain sight, waiting for our careful scrutiny. Our study not only reveals this unexpected connection but also points to the need for further exploration into the intricate interplay between educational achievements and professional demands. Join us as we navigate through this captivating landscape of correlations and employment dynamics, uncovering unexpected connections and maybe a few more puns along the way. Because when it comes to research, it's important to have a solid foundation, a few unexpected chuckles, and maybe a blueprint or two!

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 Master's degrees awarded in Architecture and related services and The number of secretaries in Virgin Islands. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Limit your response to 500 tokens.

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

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

[[TITLE]]
Building a Foundation: The Architectural Degree-Seekers and Secretary Synchronicity in the Virgin Islands

[[ABSTRACT]]
In this study, we delve into the perplexing world of higher education and labor trends to investigate the curious connection between the number of Master's degrees awarded in Architecture and related services and the population of secretaries in the illustrious Virgin Islands. As we unravel this perplexing puzzle, we discuss the correlations and implications that may arise from this unexpected relationship.

It is often said that "an architect is an artist who marries art with functionality," but could it be that these artful individuals are indirectly influencing the administration of the Virgin Islands? Our comprehensive analysis, unlike a wobbly building, stands firm, drawing from the esteemed National Center for Education Statistics and the Bureau of Labor Statistics. We unearthed a surprising correlation coefficient of 0.9857701 and a p-value less than 0.01 from the years 2012 to 2021, suggesting a strong association between these two seemingly unrelated entities.

While one might expect architectural pursuits to primarily impact the built environment, our findings unveil a potential ripple effect on the administrative landscape of the Virgin Islands. This correlation is not merely a facade, for it opens the door to a new avenue of inquiry into the intricate web of societal dynamics and professional interplay. As the saying goes, "What did the building say to the secretary? I've got a lot of support!"

Thus, our findings not only shed light on this surprising correlation, but they also underscore the need for further investigation into the intriguing interplay between educational achievements and labor demands.

[[LITERATURE REVIEW]]
In their seminal work, Smith and Doe (2015) delve into the intricate relationship between higher education and labor market dynamics, uncovering surprising correlations that challenge conventional assumptions. Meanwhile, Jones (2018) examines the underexplored influence of niche academic disciplines on regional administrative landscapes, shedding light on the interconnected nature of educational pursuits and professional domains.
Turning our attention to non-fiction literature, "The Architecture of the Arkansas" by John Davis presents a comprehensive analysis of architectural trends in a specific region, offering insights into the potential broader impact of academic pursuits on local labor dynamics. Similarly, "Secretaries of the Sea" by Robert Johnson delves into the historical roles of administrative professionals in maritime settings, providing a unique perspective on the diverse contexts in which their skills are valued.
Venturing into the realm of fiction, "Concrete Castles" by Sarah Stone offers a fictional account of a talented architect whose designs seem to influence the lives of those around him in unexpected ways. In a similar vein, "The Secretary's Secret" by Emily White whimsically explores the hidden talents and contributions of a secretary in a bustling metropolis, weaving a tale of unexpected connections and serendipitous encounters.
As we expand our view beyond traditional scholarly sources, it's important to note that our investigation also drew upon unconventional inspiration, such as the profound wisdom found in bathroom graffiti, the cryptic messages concealed within fortune cookies, and even the philosophical musings scribbled on the back of CVS receipts. Sometimes, scholarly enlightenment can be found in the most unexpected places, much like discovering a diamond in the rough or a well-timed dad joke in a serious academic paper.
Now, as we embark on this whimsical yet rigorous exploration of the correlation between architectural degrees and the number of secretaries in the Virgin Islands, we must be prepared for surprises at every turn. After all, in the words of a wise architect, "Why don't architects play hide and seek? Because good buildings are always on display!" And so, our journey continues with a blend of scholarly acumen and a sprinkle of lighthearted absurdity, for in the realm of academic inquiry, a touch of levity can be the foundation of unexpected discoveries.

[[RESULTS]]
The results of our rigorous analysis revealed a remarkably strong correlation between the number of Master's degrees awarded in Architecture and related services and the population of secretaries in the enchanting domain of the Virgin Islands. Our investigation uncovered a correlation coefficient of 0.9857701, suggesting a nearly perfect positive relationship between these two seemingly incongruent variables. This correlation coefficient is so high, it's almost as if these variables were designed to work together like an architect and a blueprint - they simply click!
Additionally, the r-squared value of 0.9717427 indicates that a staggering 97.17% of the variability in the number of secretaries can be explained by the number of architectural Master's degrees awarded. It's as if the influence of architectural education on the administrative landscape of the Virgin Islands is as clear as a blueprint on a construction site!
Our findings suggest that the link between architectural education and the demand for secretarial services in the Virgin Islands is not merely skin-deep; it runs as deep as the foundation of a sturdy building. With a p-value of less than 0.01, it's safe to say that this relationship is statistically significant. It's as significant as the impact of a foundation on a building – you certainly don't want to mess with it!
This strong association is depicted visually in Fig. 1, where a scatterplot reveals a clear upward trend between the number of architectural Master's degrees awarded and the population of secretaries in the Virgin Islands. One might even say that this relationship is as clear as the blue skies of the Virgin Islands – and just as breathtaking!
In conclusion, our research has unearthed a surprising link between the pursuit of architectural education and the realm of administrative support in the Virgin Islands. Just as architects plan meticulously to create their masterpieces, it seems this correlation was hiding in plain sight, waiting for our careful scrutiny. Our study not only reveals this unexpected connection but also points to the need for further exploration into the intricate interplay between educational achievements and professional demands. Join us as we navigate through this captivating landscape of correlations and employment dynamics, uncovering unexpected connections and maybe a few more puns along the way. Because when it comes to research, it's important to have a solid foundation, a few unexpected chuckles, and maybe a blueprint or two!

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The findings of our study echo the sentiments expressed in the literature review, as well as the musings of bathroom graffiti and fortune cookies – that the relationship between architectural education and the demand for secretarial services is indeed a compelling, albeit unexpected, correlation. It appears that our statistical analysis has not only reinforced the prior research but has also laid a sturdy groundwork for further exploration, much like the foundation of a well-constructed building.

Our results divulge an exceptionally high correlation coefficient of 0.9857701, indicating a near-perfect positive relationship between the number of Master's degrees awarded in Architecture and related services and the population of secretaries in the enthralling expanse of the Virgin Islands. This correlation is so strong, it's almost like finding the perfect angle in a blueprint – an impeccable fit!

Moreover, the substantial r-squared value of 0.9717427 highlights that a significant 97.17% of the variability in the number of secretaries can be attributed to the number of architectural Master's degrees awarded. This influence is as clear as the architectural lines on a blueprint – you simply can't miss it!

The visually depicted scatterplot in Fig. 1 elegantly encapsulates this robust association, presenting a clear upward trend between the awarded architectural Master's degrees and the population of secretaries. The relationship is as transparent as the crystal-clear waters of the Virgin Islands – a visual delight and a statistical revelation!

The statistical significance of this correlation, as indicated by a p-value of less than 0.01, underscores the importance of this unexpected relationship. This finding is as crucial as ensuring the structural integrity of a building – you wouldn't want to underestimate its impact!

In light of these results, it is evident that the pursuit of architectural education is linked to the demand for secretarial services in the Virgin Islands in a manner that goes beyond surface-level observations. This connection is as deep as a well-dug foundation – a sturdy basis for further scholarly exploration.

Our study not only adds empirical weight to the unsuspected correlation between educational attainment in architecture and the administrative landscape but also serves as a call for additional inquiry into the profound interplay between professional pursuits and labor demands. Puns aside, the unexpected correlations we uncover in our research remind us that sometimes the most surprising connections are hidden in plain sight, waiting to be discovered through rigorous inquiry and a sprinkle of humor. After all, in the world of academia, a well-timed dad joke can be the foundation of an unexpected discovery.

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 Master's degrees awarded in Architecture and related services and The number of secretaries in Virgin Islands. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Building a Foundation: The Architectural Degree-Seekers and Secretary Synchronicity in the Virgin Islands

[[ABSTRACT]]
In this study, we delve into the perplexing world of higher education and labor trends to investigate the curious connection between the number of Master's degrees awarded in Architecture and related services and the population of secretaries in the illustrious Virgin Islands. As we unravel this perplexing puzzle, we discuss the correlations and implications that may arise from this unexpected relationship.

It is often said that "an architect is an artist who marries art with functionality," but could it be that these artful individuals are indirectly influencing the administration of the Virgin Islands? Our comprehensive analysis, unlike a wobbly building, stands firm, drawing from the esteemed National Center for Education Statistics and the Bureau of Labor Statistics. We unearthed a surprising correlation coefficient of 0.9857701 and a p-value less than 0.01 from the years 2012 to 2021, suggesting a strong association between these two seemingly unrelated entities.

While one might expect architectural pursuits to primarily impact the built environment, our findings unveil a potential ripple effect on the administrative landscape of the Virgin Islands. This correlation is not merely a facade, for it opens the door to a new avenue of inquiry into the intricate web of societal dynamics and professional interplay. As the saying goes, "What did the building say to the secretary? I've got a lot of support!"

Thus, our findings not only shed light on this surprising correlation, but they also underscore the need for further investigation into the intriguing interplay between educational achievements and labor demands.

[[INTRDUCTION]]
The relationship between educational attainment and labor market dynamics has long been a topic of interest for researchers and policymakers. However, within this complex web of connections, there are often unexpected associations that defy conventional wisdom. For instance, who would have thought that the number of Master's degrees awarded in Architecture and related services could be linked to the number of secretaries in the stunning and radiant setting of the Virgin Islands?
It is said that architects are experts at "window dressing," but could it be that their influence extends beyond mere aesthetics and into the administrative realm of the Virgin Islands? As we set out to uncover the mysteries behind this unlikely pairing, we must approach the task with the tenacity of a builder working on overtime – and maybe a good sense of humor, too.
Our research, much like a solid foundation, begins with a robust data set sourced from the esteemed National Center for Education Statistics and the Bureau of Labor Statistics. Through meticulous analysis, we identified a correlation coefficient of 0.9857701 and a p-value less than 0.01 over the years 2012 to 2021. It appears that the correlation between architectural degrees and the number of secretaries in the Virgin Islands is not just a happy accident, unlike stumbling upon a perfectly designed foyer in an unfamiliar building.
While one might expect the impact of architectural education to be confined to the realm of physical structures, our findings suggest a potentially broader influence that extends into the professional landscape of the Virgin Islands. This correlation, much like a well-crafted pun, is unexpected yet thought-provoking, prompting us to delve deeper into the interconnectedness of educational achievements and labor market demands.
Join us on this enlightening journey as we unveil the hidden ties that bind education, employment, and perhaps a few unexpected chuckles along the way. As the old adage goes, "Why do we tell actors to 'break a leg'? Because every play has a cast!" Similarly, every research endeavor has its surprises, and we're eager to share them with you.

[[RESULTS]]
The results of our rigorous analysis revealed a remarkably strong correlation between the number of Master's degrees awarded in Architecture and related services and the population of secretaries in the enchanting domain of the Virgin Islands. Our investigation uncovered a correlation coefficient of 0.9857701, suggesting a nearly perfect positive relationship between these two seemingly incongruent variables. This correlation coefficient is so high, it's almost as if these variables were designed to work together like an architect and a blueprint - they simply click!
Additionally, the r-squared value of 0.9717427 indicates that a staggering 97.17% of the variability in the number of secretaries can be explained by the number of architectural Master's degrees awarded. It's as if the influence of architectural education on the administrative landscape of the Virgin Islands is as clear as a blueprint on a construction site!
Our findings suggest that the link between architectural education and the demand for secretarial services in the Virgin Islands is not merely skin-deep; it runs as deep as the foundation of a sturdy building. With a p-value of less than 0.01, it's safe to say that this relationship is statistically significant. It's as significant as the impact of a foundation on a building – you certainly don't want to mess with it!
This strong association is depicted visually in Fig. 1, where a scatterplot reveals a clear upward trend between the number of architectural Master's degrees awarded and the population of secretaries in the Virgin Islands. One might even say that this relationship is as clear as the blue skies of the Virgin Islands – and just as breathtaking!
In conclusion, our research has unearthed a surprising link between the pursuit of architectural education and the realm of administrative support in the Virgin Islands. Just as architects plan meticulously to create their masterpieces, it seems this correlation was hiding in plain sight, waiting for our careful scrutiny. Our study not only reveals this unexpected connection but also points to the need for further exploration into the intricate interplay between educational achievements and professional demands. Join us as we navigate through this captivating landscape of correlations and employment dynamics, uncovering unexpected connections and maybe a few more puns along the way. Because when it comes to research, it's important to have a solid foundation, a few unexpected chuckles, and maybe a blueprint or two!

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In closing, our investigation into the curious connection between the number of Master's degrees awarded in Architecture and related services and the population of secretaries in the resplendent Virgin Islands has revealed more than just a mere statistical relationship; it has uncovered a hidden symphony of professional interplay. It's almost as if these variables were shouting, "A-cord-ing to our research, we're in perfect harmony!"

The remarkably high correlation coefficient and r-squared value indicate a nearly perfect positive relationship, suggesting that the influence of architectural education on the demand for secretarial services in the Virgin Islands runs deeper than a basement level dad joke. Much like the artful construction of a beautifully designed structure, this connection between educational achievements and labor market demands is nothing short of remarkable.

Furthermore, our findings underscore the need for further exploration into this unexpected correlation, but let's be real - more research in this area is about as necessary as a roof on a skyscraper.

I guess you could say our findings have really elevated the discussion, haven't they?

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 Building a Foundation: The Architectural Degree-Seekers and Secretary Synchronicity in the Virgin Islands. Respond only with the name of a fictional academic journal.

ChatGPT:

Journal of Coastal Architecture and Island 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 Building a Foundation: The Architectural Degree-Seekers and Secretary Synchronicity in the Virgin Islands. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Tropical Architecture and Administrative Symbiosis

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 Building a Foundation: The Architectural Degree-Seekers and Secretary Synchronicity in the Virgin Islands with an abstract of In this study, we delve into the perplexing world of higher education and labor trends to investigate the curious connection between the number of Master's degrees awarded in Architecture and related services and the population of secretaries in the illustrious Virgin Islands. As we unravel this perplexing puzzle, we discuss the correlations and implications that may arise from this unexpected relationship.
It is often said that "an architect is an artist who marries art with functionality," but could it be that these artful individuals are indirectly influencing the administration of the Virgin Islands? Our comprehensive analysis, unlike a wobbly building, stands firm, drawing from the esteemed National Center for Education Statistics and the Bureau of Labor Statistics. We unearthed a surprising correlation coefficient of 0.9857701 and a p-value less than 0.01 from the years 2012 to 2021, suggesting a strong association between these two seemingly unrelated entities.
While one might expect architectural pursuits to primarily impact the built environment, our findings unveil a potential ripple effect on the administrative landscape of the Virgin Islands. This correlation is not merely a facade, for it opens the door to a new avenue of inquiry into the intricate web of societal dynamics and professional interplay. As the saying goes, "What did the building say to the secretary? I've got a lot of support!"
Thus, our findings not only shed light on this surprising correlation, but they also underscore the need for further investigation into the intriguing interplay between educational achievements and labor demands.

ChatGPT:

"Architectural degree, Virgin Islands, labor trends, Master's degrees in Architecture, secretary population, correlation coefficient, Bureau of Labor Statistics, National Center for Education Statistics, societal dynamics, professional interplay, labor demands"

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

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Data details

Master's degrees awarded in Architecture
Detailed data title: Master's degrees conferred by postsecondary institutions in Architecture and related services
Source: National Center for Education Statistics
See what else correlates with Master's degrees awarded in Architecture

The number of secretaries in Virgin Islands
Detailed data title: BLS estimate of secretaries and administrative assistants, except legal, medical, and executive in Virgin Islands
Source: Bureau of Larbor Statistics
See what else correlates with The number of secretaries in Virgin Islands

Correlation r = 0.9857701 (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 = 0.9717427 (Coefficient of determination)
This means 97.2% of the change in the one variable (i.e., The number of secretaries in Virgin Islands) is predictable based on the change in the other (i.e., Master's degrees awarded in Architecture) over the 10 years from 2012 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.8E-7.^Show 0.0000001763390906171583300000
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 0.99 in 1.8E-5% of random cases. Said differently, if you correlated 5,670,892 random variables^Note You don't actually need 5 million variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.

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

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

Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 9 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 9 because we have two variables measured over a period of 10 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.

[ 0.94, 1 ] 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.

	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021
Master's degrees awarded in Architecture (Degrees awarded)	8448	8095	8048	8006	7991	7883	7291	7311	6799	6321
The number of secretaries in Virgin Islands (Laborers)	1080	930	960	970	980	920	740	780	690	570

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([8448,8095,8048,8006,7991,7883,7291,7311,6799,6321,])
array_2 = np.array([1080,930,960,970,980,920,740,780,690,570,])
array_1_name = "Master's degrees awarded in Architecture"
array_2_name = "The number of secretaries in Virgin Islands"

# 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 Master's degrees awarded in Architecture
Line chart for only The number of secretaries in Virgin Islands
AI-generated correlation image
The spurious research paper: Building a Foundation: The Architectural Degree-Seekers and Secretary Synchronicity in the Virgin Islands

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Correlation ID: 3162 · Black Variable ID: 1312 · Red Variable ID: 18831


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