Spurious correlation #2,353 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Associates degrees awarded in Emergency medical tech and the second variable is The number of secretaries in Idaho. The chart goes from 2011 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 Associates degrees awarded in Emergency medical tech and the second variable is The number of secretaries in Idaho. The chart goes from 2011 to 2021, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As more EMTs graduated, there was a surge in their demand for efficient secretaries to handle their paperwork, leading to a typist takeover in Idaho.

^{Show image generation prompt} Model: dalle-3
Prompt: Generate an image of a bustling Idaho hospital interior, capturing a charming, cutesy art illustration style. In the forefront, showcase a group of EMT graduates proudly holding their Associates degrees in Emergency Medical Tech, each one dressed in freshly ironed uniforms and displaying determined expressions. Behind them, depict a team of secretaries manning cluttered desks, busily handling phone calls and shuffling files to accommodate the recent surge of new medical professionals. This unlikely connection between the EMT graduates and the secretarial team exemplifies the unanticipated ripple effect in the workforce, illustrating the significant shifts in the employment landscape. 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: Associates degrees awarded in Emergency medical tech and The number of secretaries in Idaho. 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: Pop art A comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s Cutsy art illustration Psychedelic Oragami
ChatGPT: Cutsy art 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 Associates degrees awarded in Emergency medical tech and The number of secretaries in Idaho, in the following situation: The increase in Associates degrees awarded in Emergency medical tech caused a ripple effect in the job market. As more EMTs graduated and entered the workforce, the demand for medical secretaries went up. Apparently, there was a surge in paperwork as these life-saving professionals realized they needed more administrative support. Who knew that saving lives would also mean creating more filing work? This unlikely correlation just proves that in the world of bizarre cause and effect, even the most unexpected connections can't be overlooked. It seems that the EMTs weren't the only ones responding to emergencies – the secretarial field also had to "step up" to meet the growing demand. And as for Idaho, well, it looks like they're not immune to the quirky consequences of educational trends. So, whether it's a coincidence or a divine comedy of errors, one thing is for sure: in the wacky world of workforce dynamics, anything can happen, even if it seems as unlikely as a paramedic prompting a typing frenzy in the potato state.. Keep the description simple.
ChatGPT: In a bustling Idaho hospital, a group of EMT graduates proudly clutch their Associates degrees in Emergency Medical Tech, their freshly-ironed uniforms and determined expressions signaling their readiness to save lives. In the background, a team of secretaries, their desks cluttered with paperwork, busily juggle phone calls and files, their number having grown to accommodate the recent influx of medical professionals. The unlikely connection between the increased EMT graduates and the bustling secretarial team highlights the unexpected workforce ripple effect, leaving no doubt that even the most unexpected correlations can lead to significant shifts in the employment landscape.

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: [ Cutsy art illustration ] and depicting this scene: In a bustling Idaho hospital, a group of EMT graduates proudly clutch their Associates degrees in Emergency Medical Tech, their freshly-ironed uniforms and determined expressions signaling their readiness to save lives. In the background, a team of secretaries, their desks cluttered with paperwork, busily juggle phone calls and files, their number having grown to accommodate the recent influx of medical professionals. The unlikely connection between the increased EMT graduates and the bustling secretarial team highlights the unexpected workforce ripple effect, leaving no doubt that even the most unexpected correlations can lead to significant shifts in the employment landscape. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a bustling Idaho hospital interior, capturing a charming, cutesy art illustration style. In the forefront, showcase a group of EMT graduates proudly holding their Associates degrees in Emergency Medical Tech, each one dressed in freshly ironed uniforms and displaying determined expressions. Behind them, depict a team of secretaries manning cluttered desks, busily handling phone calls and shuffling files to accommodate the recent surge of new medical professionals. This unlikely connection between the EMT graduates and the secretarial team exemplifies the unanticipated ripple effect in the workforce, illustrating the significant shifts in the employment landscape.

*Variations in the User Prompts from chart to chart are just the result of random number generation in Python. I wrote a few arrays of various styles and methods to ask questions to change up the results. Every time this site writes an explanation or generates an image, the script picks from each at random.

I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.
^{Show prompt for explanation} Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in Associates degrees awarded in Emergency medical tech caused The number of secretaries in Idaho to increase. Include one good pun.

AI academic paper

(Because p < 0.01)

Associates in Ambulance: Uncovering the Unexpected Link Between Emergency Medical Tech Degrees and Secretaries in Idaho

The Journal of Peculiar Occupational Connections

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 Associates degrees awarded in Emergency medical tech and The number of secretaries in Idaho. Make lots of jokes, goofy observations, and puns.

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

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

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

Here is the title and abstract of the paper:
[[TITLE]]
Associates in Ambulance: Uncovering the Unexpected Link Between Emergency Medical Tech Degrees and Secretaries in Idaho

[[ABSTRACT]]
In this paper, we embark on a humorous journey through the strange and unexpected correlation between the awarding of Associate degrees in Emergency Medical Technology and the number of secretaries in the scenic state of Idaho. Our research team, with a penchant for serendipitous discoveries and a touch of whimsy, utilized data from the National Center for Education Statistics and the Bureau of Labor Statistics to unravel this enigmatic relationship. Our findings, much to our delight, revealed a remarkably robust correlation coefficient of 0.9248796 with a p-value of less than 0.01 for the years 2011 to 2021.

While one might initially dismiss such a peculiar correlation as mere coincidence, our work aims to bring light-hearted insight into the quirky world of statistical anomalies. Drawing parallels between the hustle and bustle of emergency medical services and the multitasking prowess of secretarial work, we humorously speculate on the potential intertwined destinies of these seemingly disparate professions. Join us on this whimsical foray into statistical curiosities and unexpected connections, as we unveil the comical correlations that lie beneath the surface of otherwise mundane data.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
Emergency medical technicians (EMTs) are the unsung heroes of the healthcare world, dashing through traffic with sirens blaring to provide swift and often life-saving care to those in need. On the other hand, secretaries are the unsung heroes of the office world, deftly juggling phone calls, scheduling, and paperwork with the finesse of a seasoned acrobat. At first glance, one might not see the connection between the two, but our research aims to shed light on this unexpected correlation.
As we delve into the world of Associate degrees in Emergency Medical Technology and the number of secretaries populating the state of Idaho, we are met with a delightful array of data that makes us scratch our heads in bemusement. It's as if statistical anomalies have paved the way for our amusing endeavor, prompting us to explore the whimsical interplay of professional domains that, on the surface, seem as unrelated as an ambulance and a typewriter.
In this scholarly pursuit, we find a blend of earnest inquiry and lighthearted curiosity, a dash of statistical rigor mixed in with a pinch of playful observation. Our peculiar journey encompasses not just the dry figures and tables of data, but also the delightfully quirky musings that arise when unexpectedly stumbling upon an uncanny correlation.
So join us, dear reader, as we embark on this comical quest to uncover the connection (or perhaps simply the coincidental convergence) between the world of EMTs and the bustling world of secretaries, all set against the backdrop of the charmingly enigmatic state of Idaho. Let us weave together the threads of statistical significance with the ribbons of amusing speculation, as we unravel the tale of Associates in Ambulance and the surprising link it shares with the number of secretaries in Idaho.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

In "Smith and Doe (2015)," the authors find a significant increase in the number of Associate degrees awarded in Emergency Medical Technology over the past decade. This surge coincides with a notable expansion in the healthcare industry, suggesting a promising trend in the pursuit of EMT education. Similarly, "Jones (2018)" highlights the growing demand for administrative support professionals, with a particular emphasis on secretarial roles in state-specific settings.

Moving beyond the realm of academia, "The Ambulance Chronicles" by Dr. Lifesaver provides an in-depth look at the courageous endeavors of EMTs, while "The Secretarial Symphony" by Office Maven delves into the harmonious orchestration of clerical duties in modern workplaces. Both authors offer unique perspectives on the intricate workings of these professions, setting the stage for our whimsical exploration into their unforeseen correlation.

Venturing further into the eclectic world of literature, the fictional works of "Emergency Dispatch: A Tale of Two Cities" and "The Secretary's Dilemma: Typewriters and Tumultuous Times" capture the essence of emergency response and administrative prowess with gripping narratives and enigmatic plot twists. While these titles may not be grounded in empirical research, they inspire us to appreciate the multifaceted nature of these professions and the unexpected synchronicities that may lie beneath their surface.

In an unconventional twist, our research journey also led us to peruse unconventional sources, including the mystical predictions from Madame Zara's Crystal Ball Almanac and the enchanting tales of the Secretarial Society's Ancient Scrolls. While these sources may not align with traditional scholarly inquiry, their whimsical allure adds a touch of wonder to our exploration of the peculiar emanations between Emergency Medical Technology education and the population of secretaries in Idaho.

As we sift through the layers of academic discourse, literary narratives, and esoteric whimsy, we are reminded that the pursuit of knowledge often unfolds amidst the unexpected and the absurd. Our scholarly inquiry, marked by a gentle embrace of ambiguity and a gleeful love for the whimsical, invites readers to embark on a lighthearted escapade through the seemingly preposterous yet curiously intriguing relationship between EMT education and the population of secretaries in the scenic state of Idaho.

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 Associates degrees awarded in Emergency medical tech and The number of secretaries in Idaho. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

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 2011 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]]
Associates in Ambulance: Uncovering the Unexpected Link Between Emergency Medical Tech Degrees and Secretaries in Idaho

[[ABSTRACT]]
In this paper, we embark on a humorous journey through the strange and unexpected correlation between the awarding of Associate degrees in Emergency Medical Technology and the number of secretaries in the scenic state of Idaho. Our research team, with a penchant for serendipitous discoveries and a touch of whimsy, utilized data from the National Center for Education Statistics and the Bureau of Labor Statistics to unravel this enigmatic relationship. Our findings, much to our delight, revealed a remarkably robust correlation coefficient of 0.9248796 with a p-value of less than 0.01 for the years 2011 to 2021.

While one might initially dismiss such a peculiar correlation as mere coincidence, our work aims to bring light-hearted insight into the quirky world of statistical anomalies. Drawing parallels between the hustle and bustle of emergency medical services and the multitasking prowess of secretarial work, we humorously speculate on the potential intertwined destinies of these seemingly disparate professions. Join us on this whimsical foray into statistical curiosities and unexpected connections, as we unveil the comical correlations that lie beneath the surface of otherwise mundane data.

[[INTRODUCTION]]
Emergency medical technicians (EMTs) are the unsung heroes of the healthcare world, dashing through traffic with sirens blaring to provide swift and often life-saving care to those in need. On the other hand, secretaries are the unsung heroes of the office world, deftly juggling phone calls, scheduling, and paperwork with the finesse of a seasoned acrobat. At first glance, one might not see the connection between the two, but our research aims to shed light on this unexpected correlation.
As we delve into the world of Associate degrees in Emergency Medical Technology and the number of secretaries populating the state of Idaho, we are met with a delightful array of data that makes us scratch our heads in bemusement. It's as if statistical anomalies have paved the way for our amusing endeavor, prompting us to explore the whimsical interplay of professional domains that, on the surface, seem as unrelated as an ambulance and a typewriter.
In this scholarly pursuit, we find a blend of earnest inquiry and lighthearted curiosity, a dash of statistical rigor mixed in with a pinch of playful observation. Our peculiar journey encompasses not just the dry figures and tables of data, but also the delightfully quirky musings that arise when unexpectedly stumbling upon an uncanny correlation.
So join us, dear reader, as we embark on this comical quest to uncover the connection (or perhaps simply the coincidental convergence) between the world of EMTs and the bustling world of secretaries, all set against the backdrop of the charmingly enigmatic state of Idaho. Let us weave together the threads of statistical significance with the ribbons of amusing speculation, as we unravel the tale of Associates in Ambulance and the surprising link it shares with the number of secretaries in Idaho.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

To unravel the perplexing relationship between the awarding of Associate degrees in Emergency Medical Technology and the abundance of secretaries in Idaho, our research team employed a blend of conventional statistical analysis and whimsical conjecture. As with any serious academic pursuit, we approached this investigation with a measure of levity and a twinkle in our eye.

**Data Collection:**
We scoured the digital landscapes of the National Center for Education Statistics and the Bureau of Labor Statistics like intrepid explorers seeking the elusive treasure trove of data. Our quest led us through the labyrinthine corridors of government databases, traversing a myriad of web pages and PDF documents in search of the fabled dataset that would unlock the enigma of our quirky correlation. Using data from the ten-year period between 2011 and 2021, we amassed a whimsically impressive collection of facts and figures, ready to be subjected to the rigorous yet lighthearted scrutiny of statistical analysis.

**Statistical Analysis:**
Armed with an arsenal of mathematical tools and a healthy dose of good humor, we set out to uncover the underlying patterns within our dataset. Employing Pearson's correlation coefficient, we sought to quantify the strength of the relationship between the number of Emergency Medical Technology degrees awarded and the population of secretaries in Idaho. With a mischievous glint in our eyes, we gleefully computed p-values, confident that we were inching closer to unearthing the unexpected link that had eluded conventional wisdom.

**Whimsical Speculation and Interpretation:**
In keeping with the jovial spirit of our research, we did not shy away from indulging in fanciful musings and entertaining interpretations of our findings. Drawing upon the rich tapestry of professional archetypes, we whimsically wove narratives of intertwined destinies between the worlds of emergency medical services and administrative support. Through a series of playfully speculative discussions, we mused on the possibility of a cosmic dance between the pulse-quickening adrenaline of EMT work and the keystroke-clacking cadence of secretarial responsibilities.

**Peer Review and Mirthful Reflection:**
Our robust methodology was subjected to the rigorous scrutiny of peer review, with fellow researchers joining us in our merry pursuit of understanding the unexpected correlation between two seemingly unrelated spheres. Their insightful feedback and light-hearted banter enriched our findings, transforming our academic quest into a delightful academic caper of statistical whimsy and scholarly delight.

In sum, our methodology embodies the fusion of earnest inquiry and gleeful exploration, blending the rigors of statistical analysis with the delightful absurdity of uncovering a correlation that defies traditional expectations. With a twinkle in our eye and a data-driven skip in our step, we ventured forth into the realms of academic investigation, determined to shed light on the curiously comical connection between Associates in Ambulance and the proliferation of secretaries in the heartwarming state of Idaho.

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 Associates degrees awarded in Emergency medical tech and The number of secretaries in Idaho. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

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]]
Associates in Ambulance: Uncovering the Unexpected Link Between Emergency Medical Tech Degrees and Secretaries in Idaho

[[ABSTRACT]]
In this paper, we embark on a humorous journey through the strange and unexpected correlation between the awarding of Associate degrees in Emergency Medical Technology and the number of secretaries in the scenic state of Idaho. Our research team, with a penchant for serendipitous discoveries and a touch of whimsy, utilized data from the National Center for Education Statistics and the Bureau of Labor Statistics to unravel this enigmatic relationship. Our findings, much to our delight, revealed a remarkably robust correlation coefficient of 0.9248796 with a p-value of less than 0.01 for the years 2011 to 2021.

While one might initially dismiss such a peculiar correlation as mere coincidence, our work aims to bring light-hearted insight into the quirky world of statistical anomalies. Drawing parallels between the hustle and bustle of emergency medical services and the multitasking prowess of secretarial work, we humorously speculate on the potential intertwined destinies of these seemingly disparate professions. Join us on this whimsical foray into statistical curiosities and unexpected connections, as we unveil the comical correlations that lie beneath the surface of otherwise mundane data.

[[LITERATURE REVIEW]]
In "Smith and Doe (2015)," the authors find a significant increase in the number of Associate degrees awarded in Emergency Medical Technology over the past decade. This surge coincides with a notable expansion in the healthcare industry, suggesting a promising trend in the pursuit of EMT education. Similarly, "Jones (2018)" highlights the growing demand for administrative support professionals, with a particular emphasis on secretarial roles in state-specific settings.
Moving beyond the realm of academia, "The Ambulance Chronicles" by Dr. Lifesaver provides an in-depth look at the courageous endeavors of EMTs, while "The Secretarial Symphony" by Office Maven delves into the harmonious orchestration of clerical duties in modern workplaces. Both authors offer unique perspectives on the intricate workings of these professions, setting the stage for our whimsical exploration into their unforeseen correlation.
Venturing further into the eclectic world of literature, the fictional works of "Emergency Dispatch: A Tale of Two Cities" and "The Secretary's Dilemma: Typewriters and Tumultuous Times" capture the essence of emergency response and administrative prowess with gripping narratives and enigmatic plot twists. While these titles may not be grounded in empirical research, they inspire us to appreciate the multifaceted nature of these professions and the unexpected synchronicities that may lie beneath their surface.
In an unconventional twist, our research journey also led us to peruse unconventional sources, including the mystical predictions from Madame Zara's Crystal Ball Almanac and the enchanting tales of the Secretarial Society's Ancient Scrolls. While these sources may not align with traditional scholarly inquiry, their whimsical allure adds a touch of wonder to our exploration of the peculiar emanations between Emergency Medical Technology education and the population of secretaries in Idaho.
As we sift through the layers of academic discourse, literary narratives, and esoteric whimsy, we are reminded that the pursuit of knowledge often unfolds amidst the unexpected and the absurd. Our scholarly inquiry, marked by a gentle embrace of ambiguity and a gleeful love for the whimsical, invites readers to embark on a lighthearted escapade through the seemingly preposterous yet curiously intriguing relationship between EMT education and the population of secretaries in the scenic state of Idaho.

[[RESULTS]]
The statistical analysis of the data collected from the National Center for Education Statistics and the Bureau of Labor Statistics revealed a remarkably robust correlation coefficient of 0.9248796 between the number of Associate degrees awarded in Emergency Medical Technology and the count of secretaries in Idaho for the years 2011 to 2021. This strong correlation exhibited an r-squared value of 0.8554023, underscoring the substantial relationship between these seemingly unrelated variables. Additionally, the p-value of less than 0.01 further reinforces the significance of this unexpected connection, much to the simultaneous amusement and bewilderment of our research team.
Figure 1 displays a scatterplot illustrating the unmistakable correlation between the two variables, serving as a visual testament to the surprising association we uncovered. It’s almost as if the data itself couldn't resist orchestrating this unlikely marriage between emergency medical tech degrees and the secretarial realm, much like a rom-com where two unlikely characters unexpectedly find common ground.
Every bit as amusing as it is intriguing, the strength of this correlation invites further contemplation into the whimsical interplay of these professional domains. One might even be tempted to envision a world where EMTs and secretaries swap roles, as chaotic as it might be to see a secretary racing through traffic with a defibrillator or an EMT taking minutes in a board meeting. The potential for sitcom-worthy scenarios seems endless.
In closing, this curious correlation serves as a delightful reminder that beneath the veneer of mundane data lies a world of lighthearted statistical surprises. Our findings not only highlight the unexpectedly intertwined destinies of these seemingly disparate professions but also beckon us to approach statistical analysis with a touch of humor and a willingness to uncover the quirky connections that permeate our world. Join us as we continue to explore the delightful absurdities that statistical analysis has to offer, and may this peculiar correlation serve as a beacon of statistical merriment in the often serious realm of research.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The striking correlation between the number of Associate degrees awarded in Emergency Medical Technology and the count of secretaries in Idaho for the years 2011 to 2021 has left our research team simultaneously amused and intrigued. Our findings not only concur with the prior research by Smith and Doe (2015) and Jones (2018) but also add a whimsical twist to the association between the pursuit of EMT education and the prevalence of secretarial roles in the charming state of Idaho.

In our literature review, we humorously acknowledged the unconventional sources such as Madame Zara's Crystal Ball Almanac and the Secretarial Society's Ancient Scrolls. Little did we know that the whimsical allure of these esoteric references would find an unexpected counterpart in our empirical findings. Our playful exploration into Madame Zara's mystical predictions seems to have unearthed a tangible, statistically significant connection between the noble pursuit of EMT education and the population of secretaries in Idaho, much to our delight and surreal amusement.

Additionally, the robust correlation coefficient of 0.9248796 and the r-squared value of 0.8554023 support our premise that there may be more at play in the statistical realm than meets the eye. The p-value of less than 0.01 further substantiates the meaningfulness of this unlikely correlation, as if the data itself were determined to weave an intricate and comical narrative through these seemingly disparate variables.

Our statistical results not only reinforce the unexpected synchronicities between EMT education and secretarial roles but also invite contemplation into the whimsical interplay of these professional domains. The scatterplot visualization serves as a visual testament to the undeniable association we uncovered, almost teasingly resembling the plot of a rom-com where two unlikely characters unexpectedly find common ground.

This peculiar correlation serves as a delightful reminder that statistical analysis is not merely a dry, humorless pursuit, but rather a whimsical escapade through the often absurd and surprising relationships that underlie the tapestry of data. As we continue to unravel the delightful absurdities that statistical analysis has to offer, may this peculiar correlation serve as a beacon of statistical merriment in the often serious realm of research, encouraging scholars to approach their work with a playful sense of wonder and an openness to the unexpectedly amusing connections awaiting discovery.

Now's the time to conclude this paper with a thoughtful and balanced final section, but as you ponder on its contents, remember that even research papers can use a sprinkle of humor!

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 Associates degrees awarded in Emergency medical tech and The number of secretaries in Idaho. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

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]]
Associates in Ambulance: Uncovering the Unexpected Link Between Emergency Medical Tech Degrees and Secretaries in Idaho

[[ABSTRACT]]
In this paper, we embark on a humorous journey through the strange and unexpected correlation between the awarding of Associate degrees in Emergency Medical Technology and the number of secretaries in the scenic state of Idaho. Our research team, with a penchant for serendipitous discoveries and a touch of whimsy, utilized data from the National Center for Education Statistics and the Bureau of Labor Statistics to unravel this enigmatic relationship. Our findings, much to our delight, revealed a remarkably robust correlation coefficient of 0.9248796 with a p-value of less than 0.01 for the years 2011 to 2021.

While one might initially dismiss such a peculiar correlation as mere coincidence, our work aims to bring light-hearted insight into the quirky world of statistical anomalies. Drawing parallels between the hustle and bustle of emergency medical services and the multitasking prowess of secretarial work, we humorously speculate on the potential intertwined destinies of these seemingly disparate professions. Join us on this whimsical foray into statistical curiosities and unexpected connections, as we unveil the comical correlations that lie beneath the surface of otherwise mundane data.

[[INTRDUCTION]]
Emergency medical technicians (EMTs) are the unsung heroes of the healthcare world, dashing through traffic with sirens blaring to provide swift and often life-saving care to those in need. On the other hand, secretaries are the unsung heroes of the office world, deftly juggling phone calls, scheduling, and paperwork with the finesse of a seasoned acrobat. At first glance, one might not see the connection between the two, but our research aims to shed light on this unexpected correlation.
As we delve into the world of Associate degrees in Emergency Medical Technology and the number of secretaries populating the state of Idaho, we are met with a delightful array of data that makes us scratch our heads in bemusement. It's as if statistical anomalies have paved the way for our amusing endeavor, prompting us to explore the whimsical interplay of professional domains that, on the surface, seem as unrelated as an ambulance and a typewriter.
In this scholarly pursuit, we find a blend of earnest inquiry and lighthearted curiosity, a dash of statistical rigor mixed in with a pinch of playful observation. Our peculiar journey encompasses not just the dry figures and tables of data, but also the delightfully quirky musings that arise when unexpectedly stumbling upon an uncanny correlation.
So join us, dear reader, as we embark on this comical quest to uncover the connection (or perhaps simply the coincidental convergence) between the world of EMTs and the bustling world of secretaries, all set against the backdrop of the charmingly enigmatic state of Idaho. Let us weave together the threads of statistical significance with the ribbons of amusing speculation, as we unravel the tale of Associates in Ambulance and the surprising link it shares with the number of secretaries in Idaho.

[[RESULTS]]
The statistical analysis of the data collected from the National Center for Education Statistics and the Bureau of Labor Statistics revealed a remarkably robust correlation coefficient of 0.9248796 between the number of Associate degrees awarded in Emergency Medical Technology and the count of secretaries in Idaho for the years 2011 to 2021. This strong correlation exhibited an r-squared value of 0.8554023, underscoring the substantial relationship between these seemingly unrelated variables. Additionally, the p-value of less than 0.01 further reinforces the significance of this unexpected connection, much to the simultaneous amusement and bewilderment of our research team.
Figure 1 displays a scatterplot illustrating the unmistakable correlation between the two variables, serving as a visual testament to the surprising association we uncovered. It’s almost as if the data itself couldn't resist orchestrating this unlikely marriage between emergency medical tech degrees and the secretarial realm, much like a rom-com where two unlikely characters unexpectedly find common ground.
Every bit as amusing as it is intriguing, the strength of this correlation invites further contemplation into the whimsical interplay of these professional domains. One might even be tempted to envision a world where EMTs and secretaries swap roles, as chaotic as it might be to see a secretary racing through traffic with a defibrillator or an EMT taking minutes in a board meeting. The potential for sitcom-worthy scenarios seems endless.
In closing, this curious correlation serves as a delightful reminder that beneath the veneer of mundane data lies a world of lighthearted statistical surprises. Our findings not only highlight the unexpectedly intertwined destinies of these seemingly disparate professions but also beckon us to approach statistical analysis with a touch of humor and a willingness to uncover the quirky connections that permeate our world. Join us as we continue to explore the delightful absurdities that statistical analysis has to offer, and may this peculiar correlation serve as a beacon of statistical merriment in the often serious realm of research.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our research has unveiled a delightfully robust correlation between the number of Associate degrees awarded in Emergency Medical Technology and the count of secretaries in Idaho, marking a whimsical juncture where emergency services and administrative prowess intertwine in statistical harmony. It's as if statistical anomalies have conspired to orchestrate this unlikely union, much like the unexpected pairing of peanut butter and jelly or socks and sandals.

The significance of this correlation prompts a fanciful exploration into the comical potential of a world where secretaries take charge of ambulances with the precision of an Excel spreadsheet and EMTs deftly navigate paperwork with the urgency typically reserved for lifesaving interventions. It's a humorous thought experiment to entertain, albeit a bit chaotic and possibly ill-advised in practice.

Our findings not only highlight the unexpectedly intertwined destinies of these seemingly disparate professions but also beckon us to approach statistical analysis with a touch of whimsy, as we uncover the delightful absurdities that often permeate our data-driven world. Let this peculiar correlation stand as a wry reminder that statistical analysis has a sense of humor too, and that sometimes, the most unexpected connections can unravel a tale of statistical merriment.

In the spirit of statistical revelry, we declare that no further research is needed in this area, as we bask in the lighthearted glow of this unexpected correlation, bidding adieu to this whimsical foray into the curious interplay of EMT degrees and the bustling world of secretaries.

To quote the wise words of the legendary comic Groucho Marx, "Blessed are the cracked, for they shall let in the light." And in our statistical pursuit of crackling correlations, we have indeed let in the light of amusement and curiosity.

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 Associates in Ambulance: Uncovering the Unexpected Link Between Emergency Medical Tech Degrees and Secretaries in Idaho. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Peculiar Occupational Connections

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 Associates in Ambulance: Uncovering the Unexpected Link Between Emergency Medical Tech Degrees and Secretaries in Idaho. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Occupational Synchronicity Research

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 Associates in Ambulance: Uncovering the Unexpected Link Between Emergency Medical Tech Degrees and Secretaries in Idaho with an abstract of In this paper, we embark on a humorous journey through the strange and unexpected correlation between the awarding of Associate degrees in Emergency Medical Technology and the number of secretaries in the scenic state of Idaho. Our research team, with a penchant for serendipitous discoveries and a touch of whimsy, utilized data from the National Center for Education Statistics and the Bureau of Labor Statistics to unravel this enigmatic relationship. Our findings, much to our delight, revealed a remarkably robust correlation coefficient of 0.9248796 with a p-value of less than 0.01 for the years 2011 to 2021.
While one might initially dismiss such a peculiar correlation as mere coincidence, our work aims to bring light-hearted insight into the quirky world of statistical anomalies. Drawing parallels between the hustle and bustle of emergency medical services and the multitasking prowess of secretarial work, we humorously speculate on the potential intertwined destinies of these seemingly disparate professions. Join us on this whimsical foray into statistical curiosities and unexpected connections, as we unveil the comical correlations that lie beneath the surface of otherwise mundane data.

ChatGPT:

"Emergency Medical Technology Degrees," "Associate Degrees in Idaho," "Secretarial Work Statistics," "Correlation Coefficient," "National Center for Education Statistics," "Bureau of Labor Statistics," "Statistical Anomalies," "Whimsical Correlations," "Unusual Data Relationships," "Idaho Employment Trends," "Unconventional Career Connections"

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

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Data details

Associates degrees awarded in Emergency medical tech
Detailed data title: Associate's degrees conferred by postsecondary institutions with a field of study of Emergency medical technician (EMT paramedic)
Source: National Center for Education Statistics
See what else correlates with Associates degrees awarded in Emergency medical tech

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

Correlation r = 0.9248796 (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 = 0.8554023 (Coefficient of determination)
This means 85.5% of the change in the one variable (i.e., The number of secretaries in Idaho) is predictable based on the change in the other (i.e., Associates degrees awarded in Emergency medical tech) over the 11 years from 2011 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 4.6E-5.^Show 0.0000458084002766677600000000
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 0.92 in 0.0046% of random cases. Said differently, if you correlated 21,830 random variables^Note You don't actually need 21 thousand variables to find a correlation like this one. 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.

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 10 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 10 because we have two variables measured over a period of 11 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.

[ 0.73, 0.98 ] 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.

	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021
Associates degrees awarded in Emergency medical tech (Degrees awarded)	2895	3352	3520	3521	3456	3380	3453	3413	3648	3527	3582
The number of secretaries in Idaho (Laborers)	6720	8430	10240	10660	10230	8780	9550	9760	10550	9430	10390

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([2895,3352,3520,3521,3456,3380,3453,3413,3648,3527,3582,])
array_2 = np.array([6720,8430,10240,10660,10230,8780,9550,9760,10550,9430,10390,])
array_1_name = "Associates degrees awarded in Emergency medical tech"
array_2_name = "The number of secretaries in Idaho"

# 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
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Portable line chart (png)
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Line chart for only Associates degrees awarded in Emergency medical tech
Line chart for only The number of secretaries in Idaho
AI-generated correlation image
The spurious research paper: Associates in Ambulance: Uncovering the Unexpected Link Between Emergency Medical Tech Degrees and Secretaries in Idaho

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Correlation ID: 2353 · Black Variable ID: 1231 · Red Variable ID: 18016


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