Spurious correlation #2,070 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Popularity of the first name Dorian and the second variable is University Lecturer salaries in the US. The chart goes from 2009 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 Popularity of the first name Dorian and the second variable is University Lecturer salaries in the US. The chart goes from 2009 to 2021, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As the popularity of the first name Dorian waned, so too did the number of individuals participating in pretentious intellectual discussions at cocktail parties. This led to a decreased demand for university lecturers who were seen as the life of such gatherings, discussing the nuances of postmodernism and the symbolism in Victorian literature. As a result, universities felt less pressure to offer competitive salaries to these once highly sought-after lecturers, leading to an overall decrease in their earnings. In conclusion, the fate of University Lecturer salaries in the US has been intricately tied to the rise and fall of Dorian, much like the complexities found within the pages of a classic Oscar Wilde novel.

^{Show image generation prompt} Model: dalle-3
Prompt: Generate an image of a lecture hall in a classic comic-book style from the 1960s. The scene includes a charismatic university lecturer named Dorian delivering a captivating lecture to a room full of students. Dorian stands at the front of the room, making enthusiastic gestures as he speaks. Behind him, there's a chalkboard displaying a comparison of university lecturer salaries in the US, with Dorian's name prominently listed at the top of the highest paid list. The colors are muted, and a dotted halftone pattern adds a vintage feel to the illustration. 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: Popularity of the first name Dorian and University Lecturer salaries in the US. 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: 3D Pixar Style Glitch art An image that looks like it is a scene from A Disney Movie A comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s Voxel art
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 Popularity of the first name Dorian and University Lecturer salaries in the US together. Keep the description simple.
ChatGPT: A lecture hall filled with students, all eagerly listening to a dynamic and engaging university lecturer named Dorian. He stands at the front of the room, gesturing enthusiastically as he speaks. On the chalkboard behind him, there's a comparison of university lecturer salaries in the US, with Dorian's name at the top of the highest paid list.

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: A lecture hall filled with students, all eagerly listening to a dynamic and engaging university lecturer named Dorian. He stands at the front of the room, gesturing enthusiastically as he speaks. On the chalkboard behind him, there's a comparison of university lecturer salaries in the US, with Dorian's name at the top of the highest paid list. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a lecture hall in a classic comic-book style from the 1960s. The scene includes a charismatic university lecturer named Dorian delivering a captivating lecture to a room full of students. Dorian stands at the front of the room, making enthusiastic gestures as he speaks. Behind him, there's a chalkboard displaying a comparison of university lecturer salaries in the US, with Dorian's name prominently listed at the top of the highest paid list. The colors are muted, and a dotted halftone pattern adds a vintage feel to the illustration.

*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 Popularity of the first name Dorian caused University Lecturer salaries in the US to decrease.\Make it sound serious until the end.

AI academic paper

(Because p < 0.01)

The Dorian's Salaries: A Playful Exploration of the Correlation between the Popularity of the Name 'Dorian' and University Lecturer Salaries in the United States

The Journal of Quirky Sociological Studies

Jan 2024

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

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

Model: gpt-3.5-turbo-1106
System prompt: You are a 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 Popularity of the first name Dorian and University Lecturer salaries in the US. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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

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

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

Here is the title and abstract of the paper:
[[TITLE]]
"The Dorian's Salaries: A Playful Exploration of the Correlation between the Popularity of the Name 'Dorian' and University Lecturer Salaries in the United States"

[[ABSTRACT]]
This paper studs the association between the frequency of the first name "Dorian" and the salaries received by university lecturers in the United States of America. Employing data from the United States Social Security Administration and the National Center for Education Statistics, we embarked on a linguistic journey to uncover the dynamics between the fame of "Dorian" and the remuneration of educators. The analysis sprouts a powerful correlation coefficient of 0.8899014 and a p-value lower than 0.01 for the years 2009 to 2021, suggesting a fervent companionship between the two variables. The implications of our discoveries leave one in wonder about the unseen affinities that may sway human interactions and perhaps even the magnitude of our paychecks.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The power of a name is a topic that has intrigued scholars, poets, and parents alike for centuries. From Shakespeare's timeless query, "What's in a name?" to the modern-day fascination with celebrity baby names, the significance of one's moniker cannot be overlooked. In the realm of academia, where intellectual prowess and scholarly achievements reign supreme, the influence of a name on one's career trajectory is an intriguing subject of exploration.
This paper delves into the delightful realm of nomenclature, focusing specifically on the frequency of the first name "Dorian" and its potential connection to the salaries earned by university lecturers in the United States. While one may initially be inclined to dismiss such an inquiry as frivolous or capricious, the correlation between nomenclature and socioeconomic outcomes has been a subject of scholarly interest in various disciplines, albeit often with a more serious countenance.
Drawing from data meticulously compiled by the United States Social Security Administration and the National Center for Education Statistics, we embark on a voyage of linguistic investigation to unravel the curious relationship between the prevalence of the name "Dorian" and the financial compensation of educators. This paper seeks to augment the existing body of research by elucidating the possible associations between nomenclatural popularity and professional remuneration.
Amidst the analytical rigor and statistical intricacies, it is important to approach this endeavor with a degree of levity. The very notion of a name – be it "Dorian," "Eliza," or "Flopsy" – conjures a whimsical tapestry of connotations and perceptions, often evoking images ranging from erudition to eccentricity. In the case of "Dorian," one cannot help but recall Oscar Wilde's enigmatic protagonist, whose name has become synonymous with aestheticism and enigma. Whether such associations bear any semblance to the financial status of university lecturers remains to be discerned through empirical inquiry.
So, dear reader, as we embark on this scholarly escapade through the labyrinthine corridors of nomenclature and remuneration, let us keep in mind the lighthearted spirit of inquiry that animates the pursuit of knowledge. For there may be more to a name than meets the eye, and the remuneration of educators, like the unfolding of a captivating narrative, may harbor subtle nuances waiting to be illuminated by the incisive beam of empirical scrutiny.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

The connection between the popularity of certain names and various outcomes has been a subject of academic interest for decades. From studies on implicit biases in hiring practices to investigations into the influence of names on romantic attraction, the impact of nomenclature on human experiences has been a fertile ground for scholarly exploration. In the realm of academia, specifically in the United States, the association between the frequency of the first name "Dorian" and the salaries of university lecturers has surprisingly received limited attention until now.

Smith and Doe (2007) examined the relationship between first names and professional success, finding a notable correlation between certain popular names and career advancements. Additionally, Jones (2015) delved into the psychological implications of individuals' reactions to specific names, shedding light on the subconscious associations that names can evoke. These serious works laid the groundwork for the present investigation, which aims to bring a lighthearted but rigorous lens to the curious case of "Dorian."

Turning to the world of non-fiction literature, researchers also found insightful connections to the topic at hand. In "Freakonomics" by Steven D. Levitt and Stephen J. Dubner, the authors explore unexpected correlations in human behavior and societal phenomena, inviting readers to rethink conventional wisdom. While the book does not explicitly discuss the name "Dorian," its spirit of unearthing unconventional links serves as a source of inspiration for the present inquiry. Furthermore, Malcolm Gladwell's "Outliers" offers a captivating examination of success and the multifaceted factors that underpin achievement. Amidst discussions of cultural heritage and environmental influences, one cannot help but wonder about the potential role of a name like "Dorian" in shaping one's professional trajectory.

Venturing into the realm of fiction, the works of classic literature provide intriguing parallels to the present investigation. Oscar Wilde's "The Picture of Dorian Gray" stands as a captivating exploration of aestheticism and the complexities of human nature. While the novel's themes may seem distant from the world of academia and salary dynamics, the enigmatic allure of the character Dorian Gray offers a playful nod to the multifaceted associations that names can carry. Similarly, Fyodor Dostoevsky's "Crime and Punishment" beckons us into the moral dilemmas and existential ponderings of its protagonist, Raskolnikov. Although "Dorian" does not make an appearance in the narrative, the weight of a name and its resonance in the tapestry of human experiences are themes that quietly beckon us to contemplation.

In the pursuit of a comprehensive understanding, the researchers also immersed themselves in the world of popular culture, succumbing to the whimsical charm of children's cartoons and nostalgic television series. The adventures of "Dora the Explorer" and the enigmatic allure of "Dorian the Dormouse" from a lesser-known animated series offer a playful interlude amidst the scholarly rigors, reminding one of the delightful vivacity that trinkets of cultural ephemera can bring to the otherwise solemn pursuit of knowledge.

Thus, with an eclectic tapestry of literature and cultural references, the stage is set for a whimsically rigorous exploration of the dynamics between the popularity of the first name "Dorian" and the remuneration of university lecturers in the United States.

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 Popularity of the first name Dorian and University Lecturer salaries in the US. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, 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]]
"The Dorian's Salaries: A Playful Exploration of the Correlation between the Popularity of the Name 'Dorian' and University Lecturer Salaries in the United States"

[[ABSTRACT]]
This paper studs the association between the frequency of the first name "Dorian" and the salaries received by university lecturers in the United States of America. Employing data from the United States Social Security Administration and the National Center for Education Statistics, we embarked on a linguistic journey to uncover the dynamics between the fame of "Dorian" and the remuneration of educators. The analysis sprouts a powerful correlation coefficient of 0.8899014 and a p-value lower than 0.01 for the years 2009 to 2021, suggesting a fervent companionship between the two variables. The implications of our discoveries leave one in wonder about the unseen affinities that may sway human interactions and perhaps even the magnitude of our paychecks.

[[LITERATURE REVIEW]]
The connection between the popularity of certain names and various outcomes has been a subject of academic interest for decades. From studies on implicit biases in hiring practices to investigations into the influence of names on romantic attraction, the impact of nomenclature on human experiences has been a fertile ground for scholarly exploration. In the realm of academia, specifically in the United States, the association between the frequency of the first name "Dorian" and the salaries of university lecturers has surprisingly received limited attention until now.
Smith and Doe (2007) examined the relationship between first names and professional success, finding a notable correlation between certain popular names and career advancements. Additionally, Jones (2015) delved into the psychological implications of individuals' reactions to specific names, shedding light on the subconscious associations that names can evoke. These serious works laid the groundwork for the present investigation, which aims to bring a lighthearted but rigorous lens to the curious case of "Dorian."
Turning to the world of non-fiction literature, researchers also found insightful connections to the topic at hand. In "Freakonomics" by Steven D. Levitt and Stephen J. Dubner, the authors explore unexpected correlations in human behavior and societal phenomena, inviting readers to rethink conventional wisdom. While the book does not explicitly discuss the name "Dorian," its spirit of unearthing unconventional links serves as a source of inspiration for the present inquiry. Furthermore, Malcolm Gladwell's "Outliers" offers a captivating examination of success and the multifaceted factors that underpin achievement. Amidst discussions of cultural heritage and environmental influences, one cannot help but wonder about the potential role of a name like "Dorian" in shaping one's professional trajectory.
Venturing into the realm of fiction, the works of classic literature provide intriguing parallels to the present investigation. Oscar Wilde's "The Picture of Dorian Gray" stands as a captivating exploration of aestheticism and the complexities of human nature. While the novel's themes may seem distant from the world of academia and salary dynamics, the enigmatic allure of the character Dorian Gray offers a playful nod to the multifaceted associations that names can carry. Similarly, Fyodor Dostoevsky's "Crime and Punishment" beckons us into the moral dilemmas and existential ponderings of its protagonist, Raskolnikov. Although "Dorian" does not make an appearance in the narrative, the weight of a name and its resonance in the tapestry of human experiences are themes that quietly beckon us to contemplation.
In the pursuit of a comprehensive understanding, the researchers also immersed themselves in the world of popular culture, succumbing to the whimsical charm of children's cartoons and nostalgic television series. The adventures of "Dora the Explorer" and the enigmatic allure of "Dorian the Dormouse" from a lesser-known animated series offer a playful interlude amidst the scholarly rigors, reminding one of the delightful vivacity that trinkets of cultural ephemera can bring to the otherwise solemn pursuit of knowledge.
Thus, with an eclectic tapestry of literature and cultural references, the stage is set for a whimsically rigorous exploration of the dynamics between the popularity of the first name "Dorian" and the remuneration of university lecturers in the United States.

[[RESULTS]]
The results of our study reveal a robust correlation between the frequency of the first name "Dorian" and the salaries of university lecturers in the United States. Over the time period from 2009 to 2021, we found a striking correlation coefficient of 0.8899014, indicating a strong positive relationship between the popularity of the name "Dorian" and the level of remuneration received by educators.
The R-squared value of 0.7919245 suggests that approximately 79.19% of the variability in university lecturer salaries can be explained by the frequency of the name "Dorian." This substantial proportion of variance elucidates the noteworthy influence of nomenclatural popularity on the pecuniary aspects of academia.
The p-value of less than 0.01 further bolsters the credibility of our findings, firmly rejecting the null hypothesis and affirming the statistical significance of the association between the prevalence of the name "Dorian" and the financial compensation of university lecturers.
As depicted in Figure 1, the scatterplot visually demonstrates the conspicuous correlation between the two variables. The clustering of data points in a discernible pattern reinforces the robustness of the relationship, lending credence to the notion that there may indeed be more to a name than mere letters strung together.
These findings prompt contemplation on the potential mechanisms underlying the observed correlation. While causation cannot be inferred from our study, it is intriguing to ponder the subtle yet influential forces that may interweave nomenclatural prominence with the financial fortunes of educators. Whether it be a subconscious preference for names evoking intellectual sophistication or a cosmic alignment of celestial spheres influencing both nomenclature and remuneration, the exact nature of the connection remains a delightful enigma worthy of further exploration.
In conclusion, our study unearths a compelling correlation between the popularity of the first name "Dorian" and the salaries of university lecturers in the United States. These results prod the boundaries of conventional scholarly inquiry, beckoning us to contemplate the whimsical interplay between nomenclature and socioeconomic realities. The implications of our discoveries provoke a wry smile, reminding us that even in the solemn realm of statistical analysis, there is room for playful exploration and droll contemplation.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The results of this study illuminate a rather unexpected connection between the frequency of the first name "Dorian" and the remuneration of university lecturers in the United States. Our findings substantiate and extend prior research that has explored the intriguing influence of names on various facets of human experiences, thus underscoring the delightful complexity that underlies the linkage between nomenclature and economic realms.

Drawing from the literature review, we harken back to the whimsical parallels found in classic literature and popular culture. The enigmatic allure of the character Dorian Gray in Wilde's "The Picture of Dorian Gray" quietly beckons us to consider the multifaceted associations that names can carry. Indeed, the essence of "Dorian" seems to echo beyond the pages of fiction, subtly weaving its way into the tapestry of socioeconomic realities.

The substantial correlation coefficient of 0.8899014 that emerged from our analysis surpasses expectations, hinting at a fervent companionship between the frequency of the name "Dorian" and the financial well-being of educators. This robust correlation echoes the sentiments of Smith and Doe (2007), who uncovered notable associations between popular names and career advancements. The link between nomenclature and professional success receives a whimsical twist with our findings, adding a dash of peculiarity to the scholarly discourse.

The p-value of less than 0.01 further solidifies the credibility of our results, firmly dismissing any lingering skepticism and affirming the statistical significance of this unlikely correlation. As we gaze upon the scatterplot, the clustering of data points in a discernible pattern whispers tales of unseen affinities that may sway human interactions and, in this case, the magnitude of our paychecks.

While we are careful not to imply causation, the substantial R-squared value of 0.7919245 paints a vivid picture of the influence wielded by nomenclatural popularity on the pecuniary aspects of academia. The unexpected potency of a seemingly simple name like "Dorian" prompts a delightful, if perplexing, contemplation of fame and fortune. As we ponder the underlying mechanisms, one cannot help but conjure fanciful musings about cosmic alignments and celestial spheres infusing both nomenclature and remuneration. Perhaps there exists a subtle yet influential force, akin to the whimsical charm of children's cartoons, quietly shaping the trajectory of educators' salaries.

Overall, our study brings to light the enchanting interplay between the popularity of the first name "Dorian" and the salaries of university lecturers in the United States. The implications of our discoveries prod the boundaries of conventional scholarly inquiry and leave one in wonder about the often unseen yet potent whimsies that may underlie human interactions and societal phenomena. The dance between nomenclature and socioeconomic realities proves to be a curious ball, inviting playful exploration and droll contemplation within the solemn realm of statistical analysis.

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 Popularity of the first name Dorian and University Lecturer salaries in the US. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, 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]]
"The Dorian's Salaries: A Playful Exploration of the Correlation between the Popularity of the Name 'Dorian' and University Lecturer Salaries in the United States"

[[ABSTRACT]]
This paper studs the association between the frequency of the first name "Dorian" and the salaries received by university lecturers in the United States of America. Employing data from the United States Social Security Administration and the National Center for Education Statistics, we embarked on a linguistic journey to uncover the dynamics between the fame of "Dorian" and the remuneration of educators. The analysis sprouts a powerful correlation coefficient of 0.8899014 and a p-value lower than 0.01 for the years 2009 to 2021, suggesting a fervent companionship between the two variables. The implications of our discoveries leave one in wonder about the unseen affinities that may sway human interactions and perhaps even the magnitude of our paychecks.

[[INTRDUCTION]]
The power of a name is a topic that has intrigued scholars, poets, and parents alike for centuries. From Shakespeare's timeless query, "What's in a name?" to the modern-day fascination with celebrity baby names, the significance of one's moniker cannot be overlooked. In the realm of academia, where intellectual prowess and scholarly achievements reign supreme, the influence of a name on one's career trajectory is an intriguing subject of exploration.
This paper delves into the delightful realm of nomenclature, focusing specifically on the frequency of the first name "Dorian" and its potential connection to the salaries earned by university lecturers in the United States. While one may initially be inclined to dismiss such an inquiry as frivolous or capricious, the correlation between nomenclature and socioeconomic outcomes has been a subject of scholarly interest in various disciplines, albeit often with a more serious countenance.
Drawing from data meticulously compiled by the United States Social Security Administration and the National Center for Education Statistics, we embark on a voyage of linguistic investigation to unravel the curious relationship between the prevalence of the name "Dorian" and the financial compensation of educators. This paper seeks to augment the existing body of research by elucidating the possible associations between nomenclatural popularity and professional remuneration.
Amidst the analytical rigor and statistical intricacies, it is important to approach this endeavor with a degree of levity. The very notion of a name – be it "Dorian," "Eliza," or "Flopsy" – conjures a whimsical tapestry of connotations and perceptions, often evoking images ranging from erudition to eccentricity. In the case of "Dorian," one cannot help but recall Oscar Wilde's enigmatic protagonist, whose name has become synonymous with aestheticism and enigma. Whether such associations bear any semblance to the financial status of university lecturers remains to be discerned through empirical inquiry.
So, dear reader, as we embark on this scholarly escapade through the labyrinthine corridors of nomenclature and remuneration, let us keep in mind the lighthearted spirit of inquiry that animates the pursuit of knowledge. For there may be more to a name than meets the eye, and the remuneration of educators, like the unfolding of a captivating narrative, may harbor subtle nuances waiting to be illuminated by the incisive beam of empirical scrutiny.

[[RESULTS]]
The results of our study reveal a robust correlation between the frequency of the first name "Dorian" and the salaries of university lecturers in the United States. Over the time period from 2009 to 2021, we found a striking correlation coefficient of 0.8899014, indicating a strong positive relationship between the popularity of the name "Dorian" and the level of remuneration received by educators.
The R-squared value of 0.7919245 suggests that approximately 79.19% of the variability in university lecturer salaries can be explained by the frequency of the name "Dorian." This substantial proportion of variance elucidates the noteworthy influence of nomenclatural popularity on the pecuniary aspects of academia.
The p-value of less than 0.01 further bolsters the credibility of our findings, firmly rejecting the null hypothesis and affirming the statistical significance of the association between the prevalence of the name "Dorian" and the financial compensation of university lecturers.
As depicted in Figure 1, the scatterplot visually demonstrates the conspicuous correlation between the two variables. The clustering of data points in a discernible pattern reinforces the robustness of the relationship, lending credence to the notion that there may indeed be more to a name than mere letters strung together.
These findings prompt contemplation on the potential mechanisms underlying the observed correlation. While causation cannot be inferred from our study, it is intriguing to ponder the subtle yet influential forces that may interweave nomenclatural prominence with the financial fortunes of educators. Whether it be a subconscious preference for names evoking intellectual sophistication or a cosmic alignment of celestial spheres influencing both nomenclature and remuneration, the exact nature of the connection remains a delightful enigma worthy of further exploration.
In conclusion, our study unearths a compelling correlation between the popularity of the first name "Dorian" and the salaries of university lecturers in the United States. These results prod the boundaries of conventional scholarly inquiry, beckoning us to contemplate the whimsical interplay between nomenclature and socioeconomic realities. The implications of our discoveries provoke a wry smile, reminding us that even in the solemn realm of statistical analysis, there is room for playful exploration and droll contemplation.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In culmination, our whimsical expedition through the captivating terrain of nomenclature and remuneration has unveiled a compelling companionship between the prevalence of the first name "Dorian" and the financial compensation of university lecturers in the United States. The resolute correlation coefficient of 0.8899014 and a remarkably diminutive p-value furnish irrefutable evidence of the pronounced bond between these seemingly disparate entities.

The robust R-squared value of 0.7919245 elucidates that approximately 79.19% of the variance in university lecturer salaries can be attributed to the frequency of the name "Dorian." Such a substantial proportion of explicability leaves one pondering the idiosyncrasies of nomenclatural influence on the fiscal realm of academia.

As we gaze upon the scatterplot in Figure 1, the patterned clustering of data points imparts an undeniable visual manifestation of the association, prompting a mirthful recognition of the unfathomable ways in which a name may surreptitiously shape one's material fortunes. This, however, does not imply that changing one's name to "Dorian" would automatically lead to a lucrative career in academia.

The implications of our findings beckon forth a symphony of wry contemplation, weaving a tapestry of ponderous musings on the mysterious interplay between nomenclature and pecuniary realities. As we bid adieu to this meritorious study, one is left with the ineffable sentiment that, indeed, there may be more to a name than meets the ear.

In light of these revelations, it seems that the age-old query, "What's in a name?" may merit further empirical inquiry, at least in the context of its influence on the emoluments of educators. Although this study has shed illuminating light on the subject, it seems that no further 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 The Dorian's Salaries: A Playful Exploration of the Correlation between the Popularity of the Name 'Dorian' and University Lecturer Salaries in the United States. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Quirky Sociological Studies

Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of nonprofit research organizations and associations. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding nonprofit, academic, or scientific association or organization that would sponsor research that resulted in a paper entited The Dorian's Salaries: A Playful Exploration of the Correlation between the Popularity of the Name 'Dorian' and University Lecturer Salaries in the United States. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Whimsical Studies and Analytical Inquiries

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 The Dorian's Salaries: A Playful Exploration of the Correlation between the Popularity of the Name 'Dorian' and University Lecturer Salaries in the United States with an abstract of This paper studs the association between the frequency of the first name "Dorian" and the salaries received by university lecturers in the United States of America. Employing data from the United States Social Security Administration and the National Center for Education Statistics, we embarked on a linguistic journey to uncover the dynamics between the fame of "Dorian" and the remuneration of educators. The analysis sprouts a powerful correlation coefficient of 0.8899014 and a p-value lower than 0.01 for the years 2009 to 2021, suggesting a fervent companionship between the two variables. The implications of our discoveries leave one in wonder about the unseen affinities that may sway human interactions and perhaps even the magnitude of our paychecks.

ChatGPT:

"Name Dorian popularity," "university lecturer salaries correlation," "United States Social Security Administration data," "National Center for Education Statistics," "correlation coefficient and p-value," "association between name popularity and salaries," "linguistic analysis of name frequencies," "educator remuneration dynamics," "human interactions and paychecks."

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

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Data details

Popularity of the first name Dorian
Detailed data title: Babies of all sexes born in the US named Dorian
Source: US Social Security Administration
See what else correlates with Popularity of the first name Dorian

University Lecturer salaries in the US
Detailed data title: Average salary of full-time instructional faculty on 9-month contracts in degree-granting postsecondary institutions, by academic rank of Lecturer
Source: National Center for Education Statistics
See what else correlates with University Lecturer salaries in the US

Correlation r = 0.8899014 (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 = 0.7919245 (Coefficient of determination)
This means 79.2% of the change in the one variable (i.e., University Lecturer salaries in the US) is predictable based on the change in the other (i.e., Popularity of the first name Dorian) over the 13 years from 2009 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 4.6E-5.^Show 0.0000461137255066992840000000
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 0.89 in 0.0046% of random cases. Said differently, if you correlated 21,686 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 12 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 12 because we have two variables measured over a period of 13 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.

[ 0.66, 0.97 ] 95% correlation confidence interval (using the Fisher z-transformation)
^{Read more about the confidence interval} The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

This one is a bit more complciated than the other calculations, but I include it because many people have been pushing for confidence intervals instead of p-value calculations (for example: NEJM. However, if you are dredging data, you can reliably find yourself in the 5%. That's my goal!

All values for the years included above: ^Note If I were being very sneaky, I could trim years from the beginning or end of the datasets to increase the correlation on some pairs of variables. I don't do that because there are already plenty of correlations in my database without monkeying with the years.

Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.

	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021
Popularity of the first name Dorian (Babies born)	554	544	510	486	510	535	532	555	539	564	574	576	515
University Lecturer salaries in the US (Salary)	67906	67077	66129	64696	65494	65938	67828	68305	69125	69647	70577	70489	67454

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([554,544,510,486,510,535,532,555,539,564,574,576,515,])
array_2 = np.array([67906,67077,66129,64696,65494,65938,67828,68305,69125,69647,70577,70489,67454,])
array_1_name = "Popularity of the first name Dorian"
array_2_name = "University Lecturer salaries in the US"

# 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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Line chart for only Popularity of the first name Dorian
Line chart for only University Lecturer salaries in the US
AI-generated correlation image
The spurious research paper: The Dorian's Salaries: A Playful Exploration of the Correlation between the Popularity of the Name 'Dorian' and University Lecturer Salaries in the United States

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Correlation ID: 2070 · Black Variable ID: 2921 · Red Variable ID: 1205


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