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Spurious correlation #1,790 · 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 Meaghan and the second variable is Bachelor's degrees awarded in Legal professions.  The chart goes from 2012 to 2020, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

The decrease in Popularity of the first name Meaghan reduced the overall number of individuals who were drawn to the legal field by karma. The cosmic balance was disrupted, leading to a decrease in the interest and success in obtaining Bachelor's degrees in Legal professions and studies. This unexpected connection has left everyone legally and linguistically baffled.

Model: dalle-3
Prompt: Generate a photo-realistic image of a bustling courtroom scene where a group of jubilant law school graduates, including a beaming Meaghan, proudly pose for a photo with their newly awarded bachelor's degrees. The judge is seen in the background, announcing the verdict as the crowd of well-wishers surrounds and congratulates Meaghan, highlighting the popularity of the name. The atmosphere should convey the sense of achievement and celebration, capturing the joyful moment in a realistic and lively setting. 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 Meaghan and Bachelor's degrees awarded in Legal professions and studies. 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: Sci-fi fantacy Symbolism inspired by bauhaus Low poly A photo-realistic image
ChatGPT: A photo-realistic image

Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both Popularity of the first name Meaghan and Bachelor's degrees awarded in Legal professions and studies together. Keep the description simple.
ChatGPT: In a crowded courtroom, a judge announces the verdict as a group of enthusiastic law school graduates proudly pose for a photo with their newly awarded bachelor's degrees. Among them, a beaming Meaghan stands out, surrounded by a crowd of well-wishers, indicating the popularity of the name Meaghan.

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 photo-realistic image ] and depicting this scene: In a crowded courtroom, a judge announces the verdict as a group of enthusiastic law school graduates proudly pose for a photo with their newly awarded bachelor's degrees. Among them, a beaming Meaghan stands out, surrounded by a crowd of well-wishers, indicating the popularity of the name Meaghan. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate a photo-realistic image of a bustling courtroom scene where a group of jubilant law school graduates, including a beaming Meaghan, proudly pose for a photo with their newly awarded bachelor's degrees. The judge is seen in the background, announcing the verdict as the crowd of well-wishers surrounds and congratulates Meaghan, highlighting the popularity of the name. The atmosphere should convey the sense of achievement and celebration, capturing the joyful moment in a realistic and lively setting.

*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.

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 Meaghan caused Bachelor's degrees awarded in Legal professions and studies to decrease.

AI academic paper

(Because p < 0.01)
The Meaghan Effect: Exploring the Correlation between Name Popularity and Legal Degrees

The Journal of Sociolinguistic Trends

Jan 2024

Reminder: This paper is AI-generated. Not real!
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 write titles and abstracts of goofy academic research papers.
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, and add unexpected twists in your writing.

Please draft the title and abstract of an academic research paper presenting the findings of the connection between Popularity of the first name Meaghan and Bachelor's degrees awarded in Legal professions and studies. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Make the title seem clever.

Your research team used data from US Social Security Administration and National Center for Education Statistics to assess this nagging question. You found a correlation coefficient of 0.9637259 and p < 0.01 for 2012 to 2020.

Please respond in this format (replace "Lorem ipsum dolor sit" with your title and abstract)

[[TITLE]]
Lorem ipsum dolor sit

[[ABSTRACT]]
Lorem ipsum dolor sit



ChatGPT:
[[TITLE]]
The Meaghan Effect: Exploring the Correlation between Name Popularity and Legal Degrees

[[ABSTRACT]]
This study delves into the curious relationship between the popularity of the first name Meaghan and the number of Bachelor's degrees awarded in legal professions and studies. By analyzing data from the US Social Security Administration and the National Center for Education Statistics, a significant correlation coefficient of 0.9637259 and p < 0.01 for the years 2012 to 2020 was discovered. The implications of such an unexpected correlation are discussed, shedding light on the potential influence of nomenclature on career choices. The findings contribute to the intriguing intersection of nomenclature and educational pursuits, urging further investigation into the "Meaghan Effect" and its implications for workforce trends and human behavior.


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 introduction 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 introduction section of an academic research paper presenting the findings of the connection between Popularity of the first name Meaghan and Bachelor's degrees awarded in Legal professions and studies. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Here is the title and abstract of the paper:
[[TITLE]]
The Meaghan Effect: Exploring the Correlation between Name Popularity and Legal Degrees

[[ABSTRACT]]
This study delves into the curious relationship between the popularity of the first name Meaghan and the number of Bachelor's degrees awarded in legal professions and studies. By analyzing data from the US Social Security Administration and the National Center for Education Statistics, a significant correlation coefficient of 0.9637259 and p < 0.01 for the years 2012 to 2020 was discovered. The implications of such an unexpected correlation are discussed, shedding light on the potential influence of nomenclature on career choices. The findings contribute to the intriguing intersection of nomenclature and educational pursuits, urging further investigation into the "Meaghan Effect" and its implications for workforce trends and human behavior.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

The field of nomenclature and its potential impact on various aspects of human life has long captivated researchers and laypeople alike. From the joviality of the name "Joy" to the gravitas of "Noble," the influence of monikers on individuals' paths through life is an area of fascination. In the academic realm, the correlation between personal names and career choices has garnered interest, with studies exploring associations between names and fields of study or professional pursuits. However, few have ventured into the peculiar world of the Meaghans and their proclivity for legal professions and studies.

For the casual observer, the idea of a connection between the popularity of the first name Meaghan and the number of legal degrees awarded may seem, at best, a whimsical notion. Yet, as we delve into the data from the US Social Security Administration and the National Center for Education Statistics, a striking relationship begins to emerge. The correlation coefficient of 0.9637259 and the eye-catching statistical significance with p < 0.01 for the period spanning 2012 to 2020 has left us pondering the perky possibility of the "Meaghan Effect."

As we embark on this scholarly exploration, it is essential to acknowledge that this research is not an attempt to perpetuate the age-old stereotypes about names dictating destiny. Instead, it is a lighthearted endeavor to unravel a curious conundrum that has appeared in the data, and perhaps, along the way, we may glean insights into the broader interplay between nomenclature and vocational choices. The findings of this study may serve as a gentle reminder that, in the labyrinthine world of human behavior, unexpected correlations and whimsical connections may lurk in the most unlikely of places, even within the syllables and consonants of a name.


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 Meaghan and Bachelor's degrees awarded in Legal professions and studies. 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 devolve ever further, and mention something completely ridiculous, like you conducted literature review by reading the backs of shampoo bottles.

Here is the title and abstract of the paper:
[[TITLE]]
The Meaghan Effect: Exploring the Correlation between Name Popularity and Legal Degrees

[[ABSTRACT]]
This study delves into the curious relationship between the popularity of the first name Meaghan and the number of Bachelor's degrees awarded in legal professions and studies. By analyzing data from the US Social Security Administration and the National Center for Education Statistics, a significant correlation coefficient of 0.9637259 and p < 0.01 for the years 2012 to 2020 was discovered. The implications of such an unexpected correlation are discussed, shedding light on the potential influence of nomenclature on career choices. The findings contribute to the intriguing intersection of nomenclature and educational pursuits, urging further investigation into the "Meaghan Effect" and its implications for workforce trends and human behavior.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The field of nomenclature and its potential impact on various aspects of human life has long captivated researchers and laypeople alike. From the joviality of the name "Joy" to the gravitas of "Noble," the influence of monikers on individuals' paths through life is an area of fascination. In the academic realm, the correlation between personal names and career choices has garnered interest, with studies exploring associations between names and fields of study or professional pursuits. However, few have ventured into the peculiar world of the Meaghans and their proclivity for legal professions and studies.
For the casual observer, the idea of a connection between the popularity of the first name Meaghan and the number of legal degrees awarded may seem, at best, a whimsical notion. Yet, as we delve into the data from the US Social Security Administration and the National Center for Education Statistics, a striking relationship begins to emerge. The correlation coefficient of 0.9637259 and the eye-catching statistical significance with p < 0.01 for the period spanning 2012 to 2020 has left us pondering the perky possibility of the "Meaghan Effect."
As we embark on this scholarly exploration, it is essential to acknowledge that this research is not an attempt to perpetuate the age-old stereotypes about names dictating destiny. Instead, it is a lighthearted endeavor to unravel a curious conundrum that has appeared in the data, and perhaps, along the way, we may glean insights into the broader interplay between nomenclature and vocational choices. The findings of this study may serve as a gentle reminder that, in the labyrinthine world of human behavior, unexpected correlations and whimsical connections may lurk in the most unlikely of places, even within the syllables and consonants of a name.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The authors embark on their investigation by examining the existing body of scholarly work pertaining to the intersection of nomenclature and career choices. Smith et al. (2015) offer a comprehensive analysis of the influence of first names on vocational preferences, shedding light on the potential subconscious biases that individuals may harbor towards certain professions based on the phonetic composition of names. Similarly, Doe's (2018) exploration of the psychological impact of nomenclature on academic and professional pathways provides invaluable insights into the complexities surrounding the association between names and career trajectories. Jones (2020) delves into the sociocultural dimensions of nomenclature, highlighting the subtle yet pervasive ways in which names can shape individuals' perceptions of their own abilities and inclinations.

Turning to non-fiction literature, the work of Malcolm Gladwell in his seminal book "Outliers: The Story of Success," and Freakonomics by Steven Levitt and Stephen Dubner, extends the discussion to the realm of statistical anomalies and unconventional connections. The authors find an intriguing array of unexpected correlations and unorthodox linkages, setting the stage for our own exploration into the puzzling relationship between the name Meaghan and legal degrees.

In the realm of fiction, the classic novel "David Copperfield" by Charles Dickens and Harper Lee's "To Kill a Mockingbird" offer nuanced portrayals of legal professions and the individuals who navigate them, providing a literary backdrop for contemplating the enigmatic allure of legal studies and the potential resonance of certain names within this domain.

Venturing into rather unconventional sources, the literature review peruses the ingredients of various hair care products and shampoos, seeking to extract insights from the most unsuspecting of sources. Although such an approach may elicit quizzical looks, the authors find amusement in the potential for unexpected wisdom lurking in the unlikeliest of places. Furthermore, it is a nod to the capricious nature of research, reminding us that even the most serious of studies may benefit from a sprinkle of levity and the occasional dalliance into the whimsical.


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 Popularity of the first name Meaghan and Bachelor's degrees awarded in Legal professions and studies. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Your research team collected data from all across the internet, but mostly just used information from US Social Security Administration and National Center for Education Statistics . You used data from 2012 to 2020

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]]
The Meaghan Effect: Exploring the Correlation between Name Popularity and Legal Degrees

[[ABSTRACT]]
This study delves into the curious relationship between the popularity of the first name Meaghan and the number of Bachelor's degrees awarded in legal professions and studies. By analyzing data from the US Social Security Administration and the National Center for Education Statistics, a significant correlation coefficient of 0.9637259 and p < 0.01 for the years 2012 to 2020 was discovered. The implications of such an unexpected correlation are discussed, shedding light on the potential influence of nomenclature on career choices. The findings contribute to the intriguing intersection of nomenclature and educational pursuits, urging further investigation into the "Meaghan Effect" and its implications for workforce trends and human behavior.

[[INTRODUCTION]]
The field of nomenclature and its potential impact on various aspects of human life has long captivated researchers and laypeople alike. From the joviality of the name "Joy" to the gravitas of "Noble," the influence of monikers on individuals' paths through life is an area of fascination. In the academic realm, the correlation between personal names and career choices has garnered interest, with studies exploring associations between names and fields of study or professional pursuits. However, few have ventured into the peculiar world of the Meaghans and their proclivity for legal professions and studies.
For the casual observer, the idea of a connection between the popularity of the first name Meaghan and the number of legal degrees awarded may seem, at best, a whimsical notion. Yet, as we delve into the data from the US Social Security Administration and the National Center for Education Statistics, a striking relationship begins to emerge. The correlation coefficient of 0.9637259 and the eye-catching statistical significance with p < 0.01 for the period spanning 2012 to 2020 has left us pondering the perky possibility of the "Meaghan Effect."
As we embark on this scholarly exploration, it is essential to acknowledge that this research is not an attempt to perpetuate the age-old stereotypes about names dictating destiny. Instead, it is a lighthearted endeavor to unravel a curious conundrum that has appeared in the data, and perhaps, along the way, we may glean insights into the broader interplay between nomenclature and vocational choices. The findings of this study may serve as a gentle reminder that, in the labyrinthine world of human behavior, unexpected correlations and whimsical connections may lurk in the most unlikely of places, even within the syllables and consonants of a name.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

The methodology employed in this study sought to meticulously analyze the relationship between the popularity of the first name Meaghan and the number of Bachelor's degrees awarded in legal professions and studies. Data from the US Social Security Administration and the National Center for Education Statistics served as the primary sources for this investigation.

To commence the data collection process, the research team embarked on an odyssey through the digital realms of the internet, questing for datasets spanning the years 2012 to 2020. After navigating the labyrinthine corridors of online repositories, archives, and databases, the valiant quest culminated in the retrieval of comprehensive demographic information from the US Social Security Administration and educational statistics from the National Center for Education Statistics.

These vast reservoirs of data were then subjected to a painstaking process of cleaning and wrangling, akin to the alchemical arts of transmutation, to ensure the homogeneity and integrity of the datasets. The meticulous curation of this information entailed the expulsion of outliers, the harmonization of data formats, and the rectification of any errant entries – a feat requiring steely determination and an unwavering commitment to veracity.

With the data polished and gleaming like a newly forged blade, statistical analyses were conducted to scrutinize the potential associations between the popularity of the name Meaghan and the conferral of legal degrees. The correlation coefficient, akin to a mystical bond between variables, was calculated to unveil the strength and direction of any observed relationship. Furthermore, p-values were wielded like a keen-eyed arbiter, keenly discerning the presence of statistical significance amid the sea of data.

Ultimately, the culmination of these endeavors yielded a robust foundation from which to explore the enigmatic "Meaghan Effect" and its potential implications for the intricate tapestry of nomenclature and vocational choices.


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 Popularity of the first name Meaghan and Bachelor's degrees awarded in Legal professions and studies. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Your research team collected data from all across the internet, but mostly just used information from US Social Security Administration and National Center for Education Statistics .

For the time period 2012 to 2020, you found a correlation 0.9637259, r-squared of 0.9287676, 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]]
The Meaghan Effect: Exploring the Correlation between Name Popularity and Legal Degrees

[[ABSTRACT]]
This study delves into the curious relationship between the popularity of the first name Meaghan and the number of Bachelor's degrees awarded in legal professions and studies. By analyzing data from the US Social Security Administration and the National Center for Education Statistics, a significant correlation coefficient of 0.9637259 and p < 0.01 for the years 2012 to 2020 was discovered. The implications of such an unexpected correlation are discussed, shedding light on the potential influence of nomenclature on career choices. The findings contribute to the intriguing intersection of nomenclature and educational pursuits, urging further investigation into the "Meaghan Effect" and its implications for workforce trends and human behavior.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The field of nomenclature and its potential impact on various aspects of human life has long captivated researchers and laypeople alike. From the joviality of the name "Joy" to the gravitas of "Noble," the influence of monikers on individuals' paths through life is an area of fascination. In the academic realm, the correlation between personal names and career choices has garnered interest, with studies exploring associations between names and fields of study or professional pursuits. However, few have ventured into the peculiar world of the Meaghans and their proclivity for legal professions and studies.
For the casual observer, the idea of a connection between the popularity of the first name Meaghan and the number of legal degrees awarded may seem, at best, a whimsical notion. Yet, as we delve into the data from the US Social Security Administration and the National Center for Education Statistics, a striking relationship begins to emerge. The correlation coefficient of 0.9637259 and the eye-catching statistical significance with p < 0.01 for the period spanning 2012 to 2020 has left us pondering the perky possibility of the "Meaghan Effect."
As we embark on this scholarly exploration, it is essential to acknowledge that this research is not an attempt to perpetuate the age-old stereotypes about names dictating destiny. Instead, it is a lighthearted endeavor to unravel a curious conundrum that has appeared in the data, and perhaps, along the way, we may glean insights into the broader interplay between nomenclature and vocational choices. The findings of this study may serve as a gentle reminder that, in the labyrinthine world of human behavior, unexpected correlations and whimsical connections may lurk in the most unlikely of places, even within the syllables and consonants of a name.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The analysis of the relationship between the popularity of the first name Meaghan and the number of Bachelor's degrees awarded in legal professions and studies has yielded intriguing results. Over the time period from 2012 to 2020, a remarkably high correlation coefficient of 0.9637259 was observed, indicating a strong positive relationship. Furthermore, the coefficient of determination (r-squared) was calculated to be 0.9287676, emphasizing the robustness of this association. The p-value of less than 0.01 further underscores the statistical significance of this finding, rendering it highly unlikely to have occurred by chance alone.

The scatterplot (Fig. 1) visually illustrates the pronounced positive correlation between the popularity of the name Meaghan and the number of Bachelor's degrees conferred in legal professions and studies. This graphical representation serves to reinforce the strength of the relationship observed in the quantitative analysis.

Indeed, the robustness of the association prompts contemplation of the myriad factors that may underlie such a peculiar connection. While this study does not seek to ascribe causality, it does raise intriguing questions about the potential influence of nomenclature on educational and career choices. The implications of the significant correlation discovered in this study extend beyond statistical observations, beckoning a deeper exploration of the idiosyncrasies of human decision-making and the curious potential for names to exert their influence on vocational paths.

These findings open the door to further inquiry into the "Meaghan Effect," inviting a more comprehensive understanding of the intricate interplay between nomenclature and professional trajectories. It is hoped that this unanticipated correlation will inspire future studies to delve into the playful yet thought-provoking realm of names and their unforeseen connections to individuals' life choices.


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 Meaghan and Bachelor's degrees awarded in Legal professions and studies. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Limit your response to 500 tokens.

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

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

[[TITLE]]
The Meaghan Effect: Exploring the Correlation between Name Popularity and Legal Degrees

[[ABSTRACT]]
This study delves into the curious relationship between the popularity of the first name Meaghan and the number of Bachelor's degrees awarded in legal professions and studies. By analyzing data from the US Social Security Administration and the National Center for Education Statistics, a significant correlation coefficient of 0.9637259 and p < 0.01 for the years 2012 to 2020 was discovered. The implications of such an unexpected correlation are discussed, shedding light on the potential influence of nomenclature on career choices. The findings contribute to the intriguing intersection of nomenclature and educational pursuits, urging further investigation into the "Meaghan Effect" and its implications for workforce trends and human behavior.

[[LITERATURE REVIEW]]
The authors embark on their investigation by examining the existing body of scholarly work pertaining to the intersection of nomenclature and career choices. Smith et al. (2015) offer a comprehensive analysis of the influence of first names on vocational preferences, shedding light on the potential subconscious biases that individuals may harbor towards certain professions based on the phonetic composition of names. Similarly, Doe's (2018) exploration of the psychological impact of nomenclature on academic and professional pathways provides invaluable insights into the complexities surrounding the association between names and career trajectories. Jones (2020) delves into the sociocultural dimensions of nomenclature, highlighting the subtle yet pervasive ways in which names can shape individuals' perceptions of their own abilities and inclinations.
Turning to non-fiction literature, the work of Malcolm Gladwell in his seminal book "Outliers: The Story of Success," and Freakonomics by Steven Levitt and Stephen Dubner, extends the discussion to the realm of statistical anomalies and unconventional connections. The authors find an intriguing array of unexpected correlations and unorthodox linkages, setting the stage for our own exploration into the puzzling relationship between the name Meaghan and legal degrees.
In the realm of fiction, the classic novel "David Copperfield" by Charles Dickens and Harper Lee's "To Kill a Mockingbird" offer nuanced portrayals of legal professions and the individuals who navigate them, providing a literary backdrop for contemplating the enigmatic allure of legal studies and the potential resonance of certain names within this domain.
Venturing into rather unconventional sources, the literature review peruses the ingredients of various hair care products and shampoos, seeking to extract insights from the most unsuspecting of sources. Although such an approach may elicit quizzical looks, the authors find amusement in the potential for unexpected wisdom lurking in the unlikeliest of places. Furthermore, it is a nod to the capricious nature of research, reminding us that even the most serious of studies may benefit from a sprinkle of levity and the occasional dalliance into the whimsical.

[[RESULTS]]
The analysis of the relationship between the popularity of the first name Meaghan and the number of Bachelor's degrees awarded in legal professions and studies has yielded intriguing results. Over the time period from 2012 to 2020, a remarkably high correlation coefficient of 0.9637259 was observed, indicating a strong positive relationship. Furthermore, the coefficient of determination (r-squared) was calculated to be 0.9287676, emphasizing the robustness of this association. The p-value of less than 0.01 further underscores the statistical significance of this finding, rendering it highly unlikely to have occurred by chance alone.
The scatterplot (Fig. 1) visually illustrates the pronounced positive correlation between the popularity of the name Meaghan and the number of Bachelor's degrees conferred in legal professions and studies. This graphical representation serves to reinforce the strength of the relationship observed in the quantitative analysis.
Indeed, the robustness of the association prompts contemplation of the myriad factors that may underlie such a peculiar connection. While this study does not seek to ascribe causality, it does raise intriguing questions about the potential influence of nomenclature on educational and career choices. The implications of the significant correlation discovered in this study extend beyond statistical observations, beckoning a deeper exploration of the idiosyncrasies of human decision-making and the curious potential for names to exert their influence on vocational paths.
These findings open the door to further inquiry into the "Meaghan Effect," inviting a more comprehensive understanding of the intricate interplay between nomenclature and professional trajectories. It is hoped that this unanticipated correlation will inspire future studies to delve into the playful yet thought-provoking realm of names and their unforeseen connections to individuals' life choices.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The results of the present study lend support to the growing body of research on the intriguing interrelationship between nomenclature and vocational preferences. Our findings align with the work of Smith et al. (2015) and Doe (2018), who illuminated the significant impact of first names on career inclinations. The remarkable correlation coefficient observed between the popularity of the name Meaghan and the number of Bachelor's degrees awarded in legal professions and studies points to a compelling link that warrants further scrutiny.

It is worth noting the unexpected parallels drawn between our research and literature exploring the enigmatic influence of names. While Jones (2020) focused on the sociocultural dimensions of nomenclature, our study sheds light on the statistical dimensions, adding a quantitative layer to the multidimensional impact of names on career choices. Additionally, the unconventional foray into a literary perspective with works such as "David Copperfield" and "To Kill a Mockingbird" inadvertently provides a peculiar resonance, albeit in a fictional context, to the manifestation of this correlation in the real world.

The robustness of the association indicated by the high coefficient of determination calls for a closer examination of the potential mechanisms at play. While our study does not purport to establish causality, it does invite speculation regarding the subtle yet potent influence of nomenclature on vocational aspirations. The scatterplot visually encapsulates the strength of this relationship, serving as an evocative illustration of the unexpected synergies encapsulated within the "Meaghan Effect."

It is tempting to view the relationship between the popularity of the name Meaghan and legal degrees as a statistical anomaly akin to those expounded upon by Malcolm Gladwell and the authors of Freakonomics. However, our study furthers the discourse on unconventional connections by offering empirical evidence of this unorthodox correlation. Furthermore, the inclusion of seemingly incongruous references to hair care products in the literature review, while apparently whimsical, underscores the unpredictable sources from which insightful observations may emerge.

In conclusion, the notable correlation uncovered in this study not only accentuates the quixotic nature of research but also underscores the need for continued exploration of the "Meaghan Effect." This unexpected connection between nomenclature and educational pursuits challenges conventional notions and beckons further investigation into the capricious nexus of names and career trajectories.


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 Meaghan and Bachelor's degrees awarded in Legal professions and studies. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
The Meaghan Effect: Exploring the Correlation between Name Popularity and Legal Degrees

[[ABSTRACT]]
This study delves into the curious relationship between the popularity of the first name Meaghan and the number of Bachelor's degrees awarded in legal professions and studies. By analyzing data from the US Social Security Administration and the National Center for Education Statistics, a significant correlation coefficient of 0.9637259 and p < 0.01 for the years 2012 to 2020 was discovered. The implications of such an unexpected correlation are discussed, shedding light on the potential influence of nomenclature on career choices. The findings contribute to the intriguing intersection of nomenclature and educational pursuits, urging further investigation into the "Meaghan Effect" and its implications for workforce trends and human behavior.

[[INTRDUCTION]]
The field of nomenclature and its potential impact on various aspects of human life has long captivated researchers and laypeople alike. From the joviality of the name "Joy" to the gravitas of "Noble," the influence of monikers on individuals' paths through life is an area of fascination. In the academic realm, the correlation between personal names and career choices has garnered interest, with studies exploring associations between names and fields of study or professional pursuits. However, few have ventured into the peculiar world of the Meaghans and their proclivity for legal professions and studies.
For the casual observer, the idea of a connection between the popularity of the first name Meaghan and the number of legal degrees awarded may seem, at best, a whimsical notion. Yet, as we delve into the data from the US Social Security Administration and the National Center for Education Statistics, a striking relationship begins to emerge. The correlation coefficient of 0.9637259 and the eye-catching statistical significance with p < 0.01 for the period spanning 2012 to 2020 has left us pondering the perky possibility of the "Meaghan Effect."
As we embark on this scholarly exploration, it is essential to acknowledge that this research is not an attempt to perpetuate the age-old stereotypes about names dictating destiny. Instead, it is a lighthearted endeavor to unravel a curious conundrum that has appeared in the data, and perhaps, along the way, we may glean insights into the broader interplay between nomenclature and vocational choices. The findings of this study may serve as a gentle reminder that, in the labyrinthine world of human behavior, unexpected correlations and whimsical connections may lurk in the most unlikely of places, even within the syllables and consonants of a name.

[[RESULTS]]
The analysis of the relationship between the popularity of the first name Meaghan and the number of Bachelor's degrees awarded in legal professions and studies has yielded intriguing results. Over the time period from 2012 to 2020, a remarkably high correlation coefficient of 0.9637259 was observed, indicating a strong positive relationship. Furthermore, the coefficient of determination (r-squared) was calculated to be 0.9287676, emphasizing the robustness of this association. The p-value of less than 0.01 further underscores the statistical significance of this finding, rendering it highly unlikely to have occurred by chance alone.
The scatterplot (Fig. 1) visually illustrates the pronounced positive correlation between the popularity of the name Meaghan and the number of Bachelor's degrees conferred in legal professions and studies. This graphical representation serves to reinforce the strength of the relationship observed in the quantitative analysis.
Indeed, the robustness of the association prompts contemplation of the myriad factors that may underlie such a peculiar connection. While this study does not seek to ascribe causality, it does raise intriguing questions about the potential influence of nomenclature on educational and career choices. The implications of the significant correlation discovered in this study extend beyond statistical observations, beckoning a deeper exploration of the idiosyncrasies of human decision-making and the curious potential for names to exert their influence on vocational paths.
These findings open the door to further inquiry into the "Meaghan Effect," inviting a more comprehensive understanding of the intricate interplay between nomenclature and professional trajectories. It is hoped that this unanticipated correlation will inspire future studies to delve into the playful yet thought-provoking realm of names and their unforeseen connections to individuals' life choices.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

The findings of this study offer a striking glimpse into the curious correlation between the burgeoning popularity of the name Meaghan and the proclivity for individuals to pursue Bachelor's degrees in legal professions and studies. The robust correlation coefficient of 0.9637259 and the resounding statistical significance with p < 0.01 undeniably emphasize the strength of this unexpected relationship. This correlation certainly provides food for thought, echoing the whimsical potential of nomenclature to intertwine with vocational aspirations. The implications of the "Meaghan Effect" may seem whimsical at first glance, but they beckon us to ponder the playful yet perplexing territory of name-related influences on career paths.

In exploring this correlation, we cannot help but ponder the role that the name Meaghan plays in steering individuals toward the legal realm, prompting musings about the potential for names to exert their subtle sway on educational and professional trajectories. However, it is crucial to approach these findings with a measure of lightheartedness, recognizing the delightfully unexpected nature of this correlation. While we refrain from delving into the domain of causality, the statistical robustness of this association does raise intriguing questions about the serendipitous influences that may weave through individuals' decision-making processes.

As we reflect on these findings, we must acknowledge the limitations of this study, recognizing that it merely scratches the surface of an enigmatic phenomenon that invites further investigation. The undeniable allure of the "Meaghan Effect" leaves us tantalized by the prospect of unraveling the whimsical mysteries of nomenclature's influence on vocational choices. The playful yet profound implications of this unexpected correlation offer a gentle reminder that, in the intricate mosaic of human behavior, whimsical connections and surprising correlations may abound, even within the confines of a name.

In light of the findings presented in this study, it is evident that the "Meaghan Effect" merits further inquiry and that future research in this domain may unveil even more surprising linkages between names and career choices. Nevertheless, with a wry smile and a nod to the delightful whimsy of this correlation, it can be confidently asserted 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 Meaghan Effect: Exploring the Correlation between Name Popularity and Legal Degrees. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Sociolinguistic Trends


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 Meaghan Effect: Exploring the Correlation between Name Popularity and Legal Degrees. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Social Name Dynamics


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 Meaghan Effect: Exploring the Correlation between Name Popularity and Legal Degrees with an abstract of This study delves into the curious relationship between the popularity of the first name Meaghan and the number of Bachelor's degrees awarded in legal professions and studies. By analyzing data from the US Social Security Administration and the National Center for Education Statistics, a significant correlation coefficient of 0.9637259 and p < 0.01 for the years 2012 to 2020 was discovered. The implications of such an unexpected correlation are discussed, shedding light on the potential influence of nomenclature on career choices. The findings contribute to the intriguing intersection of nomenclature and educational pursuits, urging further investigation into the "Meaghan Effect" and its implications for workforce trends and human behavior.

ChatGPT:

Meaghan Effect, Name Popularity, Legal Degrees, First Name Influence, Nomenclature Influence, Career Choices, Name Trends, Human Behavior, Educational Pursuits, Workforce Trends, Correlation, Bachelor's Degrees, US Social Security Administration, National Center for Education Statistics

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



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Data details

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

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

Correlation r = 0.9637259 (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 = 0.9287676 (Coefficient of determination)
This means 92.9% of the change in the one variable (i.e., Bachelor's degrees awarded in Legal professions) is predictable based on the change in the other (i.e., Popularity of the first name Meaghan) over the 9 years from 2012 through 2020.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 2.9E-5. 0.0000288874194894459840000000
The p-value is a measure of how probable it is that we would randomly find a result this extreme. 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 0.96 in 0.0029% of random cases. Said differently, if you correlated 34,617 random variables You don't actually need 34 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 8 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 8 because we have two variables measured over a period of 9 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.

[ 0.83, 0.99 ] 95% correlation confidence interval (using the Fisher z-transformation)
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: 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.
201220132014201520162017201820192020
Popularity of the first name Meaghan (Babies born)302324181410101013
Bachelor's degrees awarded in Legal professions (Degrees awarded)459544254513442042434272424242354262




Why this works

  1. Data dredging: I have 25,213 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 635,695,369 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.
  2. Lack of causal connection: There is probably 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.
  3. 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 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.
  4. Very low n: There are not many data points included in this analysis. Even if the p-value is high, we should be suspicious of using so few datapoints in a correlation.
  5. Y-axis doesn't start at zero: I truncated the Y-axes of the graph above. I also used a line graph, which makes the visual connection stand out more than it deserves. Nothing against line graphs. They are great at telling a story when you have linear data! But visually it is deceptive because the only data is at the points on the graph, not the lines on the graph. In between each point, the data could have been doing anything. Like going for a random walk by itself!
    Mathematically what I showed is true, but it is intentionally misleading. Below is the same chart but with both Y-axes starting at zero.




Try it yourself

You can calculate the values on this page on your own! Try running the Python code to see the calculation results. 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([30,23,24,18,14,10,10,10,13,])
array_2 = np.array([4595,4425,4513,4420,4243,4272,4242,4235,4262,])
array_1_name = "Popularity of the first name Meaghan"
array_2_name = "Bachelor's degrees awarded in Legal professions"

# 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)



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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.

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Correlation ID: 1790 · Black Variable ID: 2958 · Red Variable ID: 1280
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