Spurious correlation #2,654 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Bachelor's degrees awarded in Education and the second variable is The number of receptionists in North Dakota. 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 Bachelor's degrees awarded in Education and the second variable is The number of receptionists in North Dakota. The chart goes from 2012 to 2021, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As fewer people pursued education degrees, there was a noticeable absence of degree-holding receptionists. Without those specialized skills, the job market for receptionists in North Dakota became more competitive than a game of musical chairs. The connection was crystal clear: a shortage of education degrees led to a decline in receptionist positions, creating a real 'dial-emma' for job seekers in the state.

^{Show image generation prompt} Model: dalle-3
Prompt: Generate a comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s, depicting a classroom scene. In the center, a group of students wearing graduation caps and gowns celebrate as they receive their Bachelor's degrees in Education. Behind them, some teachers are leaving the classroom and heading to the front desk. The number of receptionists at the front desk is decreasing as the teachers leave. The illustration should capture the excitement of the students while conveying the transition of teachers leaving the classroom. 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: Bachelor's degrees awarded in Education and The number of receptionists in North Dakota. 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: Voxel art a meme A Discovery magazine cover image A comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s Sci-fi fantacy
ChatGPT: A comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s

Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both Bachelor's degrees awarded in Education and The number of receptionists in North Dakota, in the following situation: Because as education degrees decreased, more teachers became receptionists, leaving fewer receptionist positions open in North Dakota.. Keep the description simple.
ChatGPT: In a classroom, a group of students wearing graduation caps and gowns are receiving their Bachelor's degrees in Education. As they celebrate, some of their teachers are leaving the classroom and heading to the front desk, where the number of receptionists is decreasing.

Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ A comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s ] and depicting this scene: In a classroom, a group of students wearing graduation caps and gowns are receiving their Bachelor's degrees in Education. As they celebrate, some of their teachers are leaving the classroom and heading to the front desk, where the number of receptionists is decreasing. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate a comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s, depicting a classroom scene. In the center, a group of students wearing graduation caps and gowns celebrate as they receive their Bachelor's degrees in Education. Behind them, some teachers are leaving the classroom and heading to the front desk. The number of receptionists at the front desk is decreasing as the teachers leave. The illustration should capture the excitement of the students while conveying the transition of teachers leaving the classroom.

*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 Bachelor's degrees awarded in Education caused The number of receptionists in North Dakota to decrease. Include one good pun.

AI academic paper

(Because p < 0.01)

Degrees of Reception: Exploring the Connection Between Education Bachelor's Degrees and Receptionists in North Dakota

The Journal of Occupational Pairings

Jan 2024

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

^{Show prompt used to generate this paper} Quick note: This sequence is long and repetitive. That's how the prompt engineering works for this one. I manage the output in Python to format it into this PDF.

Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a literature review section of an academic research paper presenting the findings of the connection between Bachelor's degrees awarded in Education and The number of receptionists in North Dakota. 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 name a few real TV shows that sound like they might be relevant to the topic that you watched as research.

Here is the title and abstract of the paper:
[[TITLE]]
"Degrees of Reception: Exploring the Connection Between Education Bachelor's Degrees and Receptionists in North Dakota"

[[ABSTRACT]]
This paper presents the findings of a rigorous empirical investigation into the relationship between the number of Bachelor's degrees awarded in Education and the quantity of receptionists in North Dakota. By leveraging data from the National Center for Education Statistics and the Bureau of Labor Statistics, we have sought to shed light on this unconventional yet intriguing correlation. Our analysis over the period of 2012 to 2021 revealed an astonishingly high correlation coefficient of 0.9901271, with statistical significance at p < 0.01, indicating a strong association between the two variables. The implications of these findings are remarkable and call for further exploration into the intersection of education and receptionist roles.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The world of academia is often filled with serious and predictable research topics, but every now and then, a topic emerges that is so quirky and unexpected that it leaves researchers scratching their heads and muttering, "Wait, what?" One such topic is the connection between the number of Bachelor's degrees awarded in Education and the quantity of receptionists in North Dakota. Yes, you read that correctly. We are diving into the uncharted waters of education degrees and the front desk mavens of the Peace Garden State.
While the title of our paper, "Degrees of Reception: Exploring the Connection Between Education Bachelor's Degrees and Receptionists in North Dakota," may raise a few eyebrows, our journey into this peculiar puzzle has been a fascinating rollercoaster ride. It all started with a casual conversation over coffee, where one of us (not naming any names) joked about how many education graduates probably end up as receptionists, and the next thing you know, a research project was born. Little did we know that this lighthearted banter would lead us down a statistical rabbit hole filled with surprises and statistical significance.
As we embark on this scholarly escapade, let us first acknowledge the sheer absurdity of our chosen focus. Who would have thought that there could be any meaningful relationship between the number of freshly-minted education degree holders and the friendly faces greeting visitors at the entrance of offices across North Dakota? But as the saying goes, truth is often stranger than fiction, and our findings have added an unexpected twist to the academic narrative.
So, buckle up and prepare to be amused, bewildered, and perhaps even enlightened as we delve into the world of education degrees and receptionist roles in the great state of North Dakota. We assure you, dear reader, that this is one academic journey that will defy expectations and leave you pondering the peculiar connections that lurk beneath the surface of seemingly unrelated variables.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

Several scholarly studies have sought to unravel the enigmatic relationship between education bachelor's degrees and the number of receptionists in North Dakota. Smith et al. (2015) examined the career trajectories of education graduates and their propensity to enter non-traditional roles, including positions in the service industry, while Doe and Jones (2018) investigated the labor market dynamics in North Dakota, albeit with a more conventional focus. These studies underscore the need for a comprehensive exploration of the pathways that lead from the hallowed halls of academia to the front lines of receptionist duties.

Turning to a broader array of literature, "The Receptionist's Handbook" by White (2016) and "The Educator's Dilemma" by Black (2017) offer insights into the professional landscapes of these seemingly disparate fields. Their juxtaposition invites contemplation of the unlikely intersections between education and receptionist domains, raising the possibility of a hidden nexus that defies conventional understanding.

In a departure from non-fiction, the works of fiction such as "The Secret Life of Receptionists" by Green (2014) and "The Education Confusion" by Blue (2019) blur the boundaries between reality and imagination, posing intriguing what-if scenarios and speculative narratives that challenge conventional wisdom.

Moreover, popular TV shows such as "The Office" and "Teachers" provide glimpses into the daily lives of receptionists and educators, offering anecdotal evidence of the potential overlaps between these professions. This immersive research has not only expanded our understanding of the education-receptionist nexus but has also left us with an enduring appreciation for the quirks and idiosyncrasies of this uncharted terrain.

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

Please make up the methodology section of an academic research paper presenting the findings of the connection between Bachelor's degrees awarded in Education and The number of receptionists in North Dakota. Make lots of jokes, goofy observations, and puns.

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]]
"Degrees of Reception: Exploring the Connection Between Education Bachelor's Degrees and Receptionists in North Dakota"

[[ABSTRACT]]
This paper presents the findings of a rigorous empirical investigation into the relationship between the number of Bachelor's degrees awarded in Education and the quantity of receptionists in North Dakota. By leveraging data from the National Center for Education Statistics and the Bureau of Labor Statistics, we have sought to shed light on this unconventional yet intriguing correlation. Our analysis over the period of 2012 to 2021 revealed an astonishingly high correlation coefficient of 0.9901271, with statistical significance at p < 0.01, indicating a strong association between the two variables. The implications of these findings are remarkable and call for further exploration into the intersection of education and receptionist roles.

[[INTRODUCTION]]
The world of academia is often filled with serious and predictable research topics, but every now and then, a topic emerges that is so quirky and unexpected that it leaves researchers scratching their heads and muttering, "Wait, what?" One such topic is the connection between the number of Bachelor's degrees awarded in Education and the quantity of receptionists in North Dakota. Yes, you read that correctly. We are diving into the uncharted waters of education degrees and the front desk mavens of the Peace Garden State.
While the title of our paper, "Degrees of Reception: Exploring the Connection Between Education Bachelor's Degrees and Receptionists in North Dakota," may raise a few eyebrows, our journey into this peculiar puzzle has been a fascinating rollercoaster ride. It all started with a casual conversation over coffee, where one of us (not naming any names) joked about how many education graduates probably end up as receptionists, and the next thing you know, a research project was born. Little did we know that this lighthearted banter would lead us down a statistical rabbit hole filled with surprises and statistical significance.
As we embark on this scholarly escapade, let us first acknowledge the sheer absurdity of our chosen focus. Who would have thought that there could be any meaningful relationship between the number of freshly-minted education degree holders and the friendly faces greeting visitors at the entrance of offices across North Dakota? But as the saying goes, truth is often stranger than fiction, and our findings have added an unexpected twist to the academic narrative.
So, buckle up and prepare to be amused, bewildered, and perhaps even enlightened as we delve into the world of education degrees and receptionist roles in the great state of North Dakota. We assure you, dear reader, that this is one academic journey that will defy expectations and leave you pondering the peculiar connections that lurk beneath the surface of seemingly unrelated variables.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

To venture into the uncharted waters of the relationship between Bachelor's degrees awarded in Education and the number of receptionists in North Dakota, our research team undertook a rigorous and, dare I say, amusing methodology. The study period covered the years 2012 to 2021, during which data from the National Center for Education Statistics and the Bureau of Labor Statistics served as the bedrock of our investigation.

Firstly, let's discuss the "academic sleuthing" that took place. Armed with an arsenal of Excel spreadsheets and a plethora of caffeinated beverages, our intrepid researchers scoured the depths of the internet, navigating through the digital jungle of statistical databases in search of relevant information. National Center for Education Statistics and Bureau of Labor Statistics emerged as our primary sources, providing a trove of data that would make even the most stoic researcher do a double-take.

Now, let's talk about the statistical magic that turned this unconventional inquiry into a legitimate scientific investigation. Utilizing advanced computational methods, including but not limited to regression analysis, data smoothing, and the art of extracting meaningful patterns from an ocean of numbers, our team worked tirelessly to unravel the mysteries hidden within the datasets. It's worth noting that we may have also attempted a ritual involving a crystal ball and the rhythmic chanting of statistical formulas, but for the sake of academic integrity, we shall attribute our success solely to the use of rigorous statistical techniques.

In addition, we had to contend with the peculiar challenges of matching education degrees with receptionist positions. This involved cross-referencing the nuances of degree classifications with the diverse job titles and descriptions of receptionist roles. Let's just say that distinguishing between a "Bachelor of Education in Early Childhood" and "receptionist with a cheerful disposition" posed some rather entertaining moments of academic contemplation.

Furthermore, to ensure the reliability and validity of our findings, we heeded the age-old advice of "trust but verify." This entailed conducting multiple checks and balances to mitigate the ever-ominous specter of statistical errors, data anomalies, and the occasional mischievous gremlin that may lurk within the data.

In conclusion, our methodology, while devoid of any crystal balls and enchanting incantations, was a lighthearted but methodical journey through the realms of statistical analysis and data exploration. We hope our fellow academic adventurers find our unconventional approach both informative and entertaining, as we unravel the peculiar link between education degrees and the frontlines of receptionist roles in North Dakota.

Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the 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 Bachelor's degrees awarded in Education and The number of receptionists in North Dakota. Make lots of jokes, goofy observations, and puns.

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 0.9901271, r-squared of 0.9803517, 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]]
"Degrees of Reception: Exploring the Connection Between Education Bachelor's Degrees and Receptionists in North Dakota"

[[ABSTRACT]]
This paper presents the findings of a rigorous empirical investigation into the relationship between the number of Bachelor's degrees awarded in Education and the quantity of receptionists in North Dakota. By leveraging data from the National Center for Education Statistics and the Bureau of Labor Statistics, we have sought to shed light on this unconventional yet intriguing correlation. Our analysis over the period of 2012 to 2021 revealed an astonishingly high correlation coefficient of 0.9901271, with statistical significance at p < 0.01, indicating a strong association between the two variables. The implications of these findings are remarkable and call for further exploration into the intersection of education and receptionist roles.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The world of academia is often filled with serious and predictable research topics, but every now and then, a topic emerges that is so quirky and unexpected that it leaves researchers scratching their heads and muttering, "Wait, what?" One such topic is the connection between the number of Bachelor's degrees awarded in Education and the quantity of receptionists in North Dakota. Yes, you read that correctly. We are diving into the uncharted waters of education degrees and the front desk mavens of the Peace Garden State.
While the title of our paper, "Degrees of Reception: Exploring the Connection Between Education Bachelor's Degrees and Receptionists in North Dakota," may raise a few eyebrows, our journey into this peculiar puzzle has been a fascinating rollercoaster ride. It all started with a casual conversation over coffee, where one of us (not naming any names) joked about how many education graduates probably end up as receptionists, and the next thing you know, a research project was born. Little did we know that this lighthearted banter would lead us down a statistical rabbit hole filled with surprises and statistical significance.
As we embark on this scholarly escapade, let us first acknowledge the sheer absurdity of our chosen focus. Who would have thought that there could be any meaningful relationship between the number of freshly-minted education degree holders and the friendly faces greeting visitors at the entrance of offices across North Dakota? But as the saying goes, truth is often stranger than fiction, and our findings have added an unexpected twist to the academic narrative.
So, buckle up and prepare to be amused, bewildered, and perhaps even enlightened as we delve into the world of education degrees and receptionist roles in the great state of North Dakota. We assure you, dear reader, that this is one academic journey that will defy expectations and leave you pondering the peculiar connections that lurk beneath the surface of seemingly unrelated variables.

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

The analysis of the data collected from the National Center for Education Statistics and the Bureau of Labor Statistics for the period of 2012 to 2021 yielded intriguing results regarding the connection between the number of Bachelor's degrees awarded in Education and the quantity of receptionists in North Dakota. The correlation coefficient of 0.9901271 indicates a remarkably strong positive relationship between these seemingly unrelated variables. Furthermore, the high R-squared value of 0.9803517 suggests that a staggering 98.03% of the variation in the number of receptionists can be explained by the number of Education Bachelor's degrees awarded. To top it off, the statistical significance at p < 0.01 provides strong evidence of the reliability of this relationship.

The sheer magnitude of this correlation prompts one to exclaim, "Well, isn't that a receptionist revelation!" The levels of astonishment in the research team upon uncovering such a strong connection cannot be overstated. Who would have thought that the supply of friendly and professional receptionists could be so closely linked to the number of aspiring educators graduating in the hallowed halls of North Dakota's academic institutions?

The implications of these findings are nothing short of staggering. The relationship between the education sector and the bustling world of receptionist roles is a testament to the interconnectedness of seemingly distinct domains. One could even say that the "reception" of education graduates in the labor market is indeed more pronounced than previously thought.

Furthermore, the scatterplot (Fig. 1) visually depicts the almost linear relationship between the number of Bachelor's degrees awarded in Education and the quantity of receptionists in North Dakota. The tightly clustered data points on the scatterplot provide a compelling visual representation of the remarkable association uncovered through our rigorous analysis, underscoring the robustness of our findings.

In conclusion, the results of our investigation into the correlation between Bachelor's degrees awarded in Education and the number of receptionists in North Dakota not only challenge conventional wisdom but also open up new avenues for exploring the intricate dynamics between education and seemingly unrelated occupational fields. This unanticipated correlation serves as a vivid reminder of the unexpected connections that can emerge from scholarly inquiry and reinforces the adage that truth is often stranger than fiction.

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

Please make up the discussion section of an academic research paper presenting the findings of the connection between Bachelor's degrees awarded in Education and The number of receptionists in North Dakota. Make lots of jokes, goofy observations, and puns.

Limit your response to 500 tokens.

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

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

[[TITLE]]
"Degrees of Reception: Exploring the Connection Between Education Bachelor's Degrees and Receptionists in North Dakota"

[[ABSTRACT]]
This paper presents the findings of a rigorous empirical investigation into the relationship between the number of Bachelor's degrees awarded in Education and the quantity of receptionists in North Dakota. By leveraging data from the National Center for Education Statistics and the Bureau of Labor Statistics, we have sought to shed light on this unconventional yet intriguing correlation. Our analysis over the period of 2012 to 2021 revealed an astonishingly high correlation coefficient of 0.9901271, with statistical significance at p < 0.01, indicating a strong association between the two variables. The implications of these findings are remarkable and call for further exploration into the intersection of education and receptionist roles.

[[LITERATURE REVIEW]]
Several scholarly studies have sought to unravel the enigmatic relationship between education bachelor's degrees and the number of receptionists in North Dakota. Smith et al. (2015) examined the career trajectories of education graduates and their propensity to enter non-traditional roles, including positions in the service industry, while Doe and Jones (2018) investigated the labor market dynamics in North Dakota, albeit with a more conventional focus. These studies underscore the need for a comprehensive exploration of the pathways that lead from the hallowed halls of academia to the front lines of receptionist duties.
Turning to a broader array of literature, "The Receptionist's Handbook" by White (2016) and "The Educator's Dilemma" by Black (2017) offer insights into the professional landscapes of these seemingly disparate fields. Their juxtaposition invites contemplation of the unlikely intersections between education and receptionist domains, raising the possibility of a hidden nexus that defies conventional understanding.
In a departure from non-fiction, the works of fiction such as "The Secret Life of Receptionists" by Green (2014) and "The Education Confusion" by Blue (2019) blur the boundaries between reality and imagination, posing intriguing what-if scenarios and speculative narratives that challenge conventional wisdom.
Moreover, popular TV shows such as "The Office" and "Teachers" provide glimpses into the daily lives of receptionists and educators, offering anecdotal evidence of the potential overlaps between these professions. This immersive research has not only expanded our understanding of the education-receptionist nexus but has also left us with an enduring appreciation for the quirks and idiosyncrasies of this uncharted terrain.

[[RESULTS]]
The analysis of the data collected from the National Center for Education Statistics and the Bureau of Labor Statistics for the period of 2012 to 2021 yielded intriguing results regarding the connection between the number of Bachelor's degrees awarded in Education and the quantity of receptionists in North Dakota. The correlation coefficient of 0.9901271 indicates a remarkably strong positive relationship between these seemingly unrelated variables. Furthermore, the high R-squared value of 0.9803517 suggests that a staggering 98.03% of the variation in the number of receptionists can be explained by the number of Education Bachelor's degrees awarded. To top it off, the statistical significance at p < 0.01 provides strong evidence of the reliability of this relationship.
The sheer magnitude of this correlation prompts one to exclaim, "Well, isn't that a receptionist revelation!" The levels of astonishment in the research team upon uncovering such a strong connection cannot be overstated. Who would have thought that the supply of friendly and professional receptionists could be so closely linked to the number of aspiring educators graduating in the hallowed halls of North Dakota's academic institutions?
The implications of these findings are nothing short of staggering. The relationship between the education sector and the bustling world of receptionist roles is a testament to the interconnectedness of seemingly distinct domains. One could even say that the "reception" of education graduates in the labor market is indeed more pronounced than previously thought.
Furthermore, the scatterplot (Fig. 1) visually depicts the almost linear relationship between the number of Bachelor's degrees awarded in Education and the quantity of receptionists in North Dakota. The tightly clustered data points on the scatterplot provide a compelling visual representation of the remarkable association uncovered through our rigorous analysis, underscoring the robustness of our findings.
In conclusion, the results of our investigation into the correlation between Bachelor's degrees awarded in Education and the number of receptionists in North Dakota not only challenge conventional wisdom but also open up new avenues for exploring the intricate dynamics between education and seemingly unrelated occupational fields. This unanticipated correlation serves as a vivid reminder of the unexpected connections that can emerge from scholarly inquiry and reinforces the adage that truth is often stranger than fiction.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The findings of our study have lent credence to the previously underexplored relationship between the number of Bachelor's degrees awarded in Education and the quantity of receptionists in North Dakota. The remarkably high correlation coefficient of 0.9901271 aligns with the conclusions drawn by Smith et al. (2015) and Doe and Jones (2018), who hinted at the possibility of a covert pathway from the world of education to the bustling realm of receptionist roles. Indeed, the statistically significant association at p < 0.01 solidifies the notion that the surging supply of education graduates has a direct bearing on the demand for receptionist positions.

Drawing from the scholarly works of White (2016) and Black (2017), who provided insights into the professional landscapes of receptionists and educators, our findings have shed light on the unexpected nexus between these seemingly distinct fields. The juxtaposition of these two professions, as documented by Green (2014) and Blue (2019) in their speculative narratives, takes on a new layer of significance in light of our empirical results. The immersive exploration of this uncharted terrain has not only expanded our understanding of the education-receptionist nexus but has also underscored the interconnectedness of these seemingly disparate domains.

Our results, with an R-squared value of 0.9803517, suggest that a staggering 98.03% of the variation in the number of receptionists can be explained by the number of Education Bachelor's degrees awarded. This revelation prompts us to reconsider the traditional career trajectories and underscores the intriguing pathways that lead from the hallowed halls of academia to the front lines of receptionist duties. The visual representation of the almost linear relationship between the two variables in the scatterplot (Fig. 1) not only corroborates the quantitative analysis but also serves as a vivid reminder of the unexpected connections that can emerge from scholarly inquiry.

In conclusion, the unexpected correlation between Bachelor's degrees awarded in Education and the number of receptionists in North Dakota opens up new avenues for exploring the intricate dynamics between education and seemingly unrelated occupational fields. The receptionist revelation revealed by our study not only challenges conventional wisdom but also reinforces the adage that truth is often stranger than fiction. Further research is warranted to explore the practical implications of these findings and to delve deeper into the underlying mechanisms driving this peculiar relationship.

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

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Bachelor's degrees awarded in Education and The number of receptionists in North Dakota. Make lots of jokes, goofy observations, and puns.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
"Degrees of Reception: Exploring the Connection Between Education Bachelor's Degrees and Receptionists in North Dakota"

[[ABSTRACT]]
This paper presents the findings of a rigorous empirical investigation into the relationship between the number of Bachelor's degrees awarded in Education and the quantity of receptionists in North Dakota. By leveraging data from the National Center for Education Statistics and the Bureau of Labor Statistics, we have sought to shed light on this unconventional yet intriguing correlation. Our analysis over the period of 2012 to 2021 revealed an astonishingly high correlation coefficient of 0.9901271, with statistical significance at p < 0.01, indicating a strong association between the two variables. The implications of these findings are remarkable and call for further exploration into the intersection of education and receptionist roles.

[[INTRDUCTION]]
The world of academia is often filled with serious and predictable research topics, but every now and then, a topic emerges that is so quirky and unexpected that it leaves researchers scratching their heads and muttering, "Wait, what?" One such topic is the connection between the number of Bachelor's degrees awarded in Education and the quantity of receptionists in North Dakota. Yes, you read that correctly. We are diving into the uncharted waters of education degrees and the front desk mavens of the Peace Garden State.
While the title of our paper, "Degrees of Reception: Exploring the Connection Between Education Bachelor's Degrees and Receptionists in North Dakota," may raise a few eyebrows, our journey into this peculiar puzzle has been a fascinating rollercoaster ride. It all started with a casual conversation over coffee, where one of us (not naming any names) joked about how many education graduates probably end up as receptionists, and the next thing you know, a research project was born. Little did we know that this lighthearted banter would lead us down a statistical rabbit hole filled with surprises and statistical significance.
As we embark on this scholarly escapade, let us first acknowledge the sheer absurdity of our chosen focus. Who would have thought that there could be any meaningful relationship between the number of freshly-minted education degree holders and the friendly faces greeting visitors at the entrance of offices across North Dakota? But as the saying goes, truth is often stranger than fiction, and our findings have added an unexpected twist to the academic narrative.
So, buckle up and prepare to be amused, bewildered, and perhaps even enlightened as we delve into the world of education degrees and receptionist roles in the great state of North Dakota. We assure you, dear reader, that this is one academic journey that will defy expectations and leave you pondering the peculiar connections that lurk beneath the surface of seemingly unrelated variables.

[[RESULTS]]
The analysis of the data collected from the National Center for Education Statistics and the Bureau of Labor Statistics for the period of 2012 to 2021 yielded intriguing results regarding the connection between the number of Bachelor's degrees awarded in Education and the quantity of receptionists in North Dakota. The correlation coefficient of 0.9901271 indicates a remarkably strong positive relationship between these seemingly unrelated variables. Furthermore, the high R-squared value of 0.9803517 suggests that a staggering 98.03% of the variation in the number of receptionists can be explained by the number of Education Bachelor's degrees awarded. To top it off, the statistical significance at p < 0.01 provides strong evidence of the reliability of this relationship.
The sheer magnitude of this correlation prompts one to exclaim, "Well, isn't that a receptionist revelation!" The levels of astonishment in the research team upon uncovering such a strong connection cannot be overstated. Who would have thought that the supply of friendly and professional receptionists could be so closely linked to the number of aspiring educators graduating in the hallowed halls of North Dakota's academic institutions?
The implications of these findings are nothing short of staggering. The relationship between the education sector and the bustling world of receptionist roles is a testament to the interconnectedness of seemingly distinct domains. One could even say that the "reception" of education graduates in the labor market is indeed more pronounced than previously thought.
Furthermore, the scatterplot (Fig. 1) visually depicts the almost linear relationship between the number of Bachelor's degrees awarded in Education and the quantity of receptionists in North Dakota. The tightly clustered data points on the scatterplot provide a compelling visual representation of the remarkable association uncovered through our rigorous analysis, underscoring the robustness of our findings.
In conclusion, the results of our investigation into the correlation between Bachelor's degrees awarded in Education and the number of receptionists in North Dakota not only challenge conventional wisdom but also open up new avenues for exploring the intricate dynamics between education and seemingly unrelated occupational fields. This unanticipated correlation serves as a vivid reminder of the unexpected connections that can emerge from scholarly inquiry and reinforces the adage that truth is often stranger than fiction.

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Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our expedition into the enigmatic realms of Education Bachelor's degrees and the multitude of receptionists in North Dakota has uncovered a correlation so strong, it would make even the toughest statistician do a double take. While one might expect this connection to be as puzzling as finding a receptionist with a PhD in greeting, the data speak for themselves. The scatterplot revealed a relationship so linear, one could mistake it for the perfect receptionist's phone voice – smooth and consistent!

Our findings not only challenge conventional wisdom but also highlight the unforeseen bonds that can emerge between seemingly disparate domains. Never again will the sight of a diploma-wielding educator moonlighting as a receptionist raise an eyebrow without eliciting thoughts of our revelatory research. The hallowed halls of academia and the buzzing world of front desks are intertwined in a way that defies the boundaries of ordinary expectation.

As we hang up our academic hats on this peculiar pursuit, it is evident that no further inquiry is needed in this area. We have not only uncovered a statistically significant relationship but also brought a touch of whimsy to the world of scholarly investigation. After all, who knew that the reception of education graduates could be so closely tied to, well, receptionists?

In the end, let us bid a fond farewell to this unconventional correlation, secure in the knowledge that, in the realm of academic inquiry, truth is often as unpredictable as the ringing of the receptionist's phone.

No more research is needed in this area.

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 Degrees of Reception: Exploring the Connection Between Education Bachelor's Degrees and Receptionists in North Dakota. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Occupational Pairings

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 Degrees of Reception: Exploring the Connection Between Education Bachelor's Degrees and Receptionists in North Dakota. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Workplace Dynamics and Occupational Studies

Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled Degrees of Reception: Exploring the Connection Between Education Bachelor's Degrees and Receptionists in North Dakota with an abstract of This paper presents the findings of a rigorous empirical investigation into the relationship between the number of Bachelor's degrees awarded in Education and the quantity of receptionists in North Dakota. By leveraging data from the National Center for Education Statistics and the Bureau of Labor Statistics, we have sought to shed light on this unconventional yet intriguing correlation. Our analysis over the period of 2012 to 2021 revealed an astonishingly high correlation coefficient of 0.9901271, with statistical significance at p < 0.01, indicating a strong association between the two variables. The implications of these findings are remarkable and call for further exploration into the intersection of education and receptionist roles.

ChatGPT:

Education degrees, bachelor's degrees, receptionists, North Dakota, correlation, National Center for Education Statistics, Bureau of Labor Statistics, empirical investigation, statistical significance

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

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Data details

Bachelor's degrees awarded in Education
Detailed data title: Bachelor's degrees conferred by postsecondary institutions, in field of study: Education
Source: National Center for Education Statistics
See what else correlates with Bachelor's degrees awarded in Education

The number of receptionists in North Dakota
Detailed data title: BLS estimate of receptionists and information clerks in North Dakota
Source: Bureau of Larbor Statistics
See what else correlates with The number of receptionists in North Dakota

Correlation r = 0.9901271 (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 = 0.9803517 (Coefficient of determination)
This means 98% of the change in the one variable (i.e., The number of receptionists in North Dakota) is predictable based on the change in the other (i.e., Bachelor's degrees awarded in Education) over the 10 years from 2012 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 4.11E-8.^Show 0.0000000410767934635057940000
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 4.11E-6% of random cases. Said differently, if you correlated 24,344,646 random variables^Note You don't actually need 24 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.

[ 0.96, 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
Bachelor's degrees awarded in Education (Degrees awarded)	105656	104698	98838	91596	87221	85130	82599	83952	85052	89398
The number of receptionists in North Dakota (Laborers)	2880	2790	2530	2190	1800	1700	1570	1470	1610	1870

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([105656,104698,98838,91596,87221,85130,82599,83952,85052,89398,])
array_2 = np.array([2880,2790,2530,2190,1800,1700,1570,1470,1610,1870,])
array_1_name = "Bachelor's degrees awarded in Education"
array_2_name = "The number of receptionists in North Dakota"

# 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 Bachelor's degrees awarded in Education
Line chart for only The number of receptionists in North Dakota
AI-generated correlation image
The spurious research paper: Degrees of Reception: Exploring the Connection Between Education Bachelor's Degrees and Receptionists in North Dakota

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Correlation ID: 2654 · Black Variable ID: 1272 · Red Variable ID: 12674


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