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Spurious correlation #3,784 · 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 Ahmed and the second variable is The number of university engineering teachers in Georgia.  The chart goes from 2003 to 2019, and the two variables track closely in value over that time. Small Image

AI explanation

As the number of babies named Ahmed increased, so did the demand for toy construction sets, leading to a nationwide shortage of qualified engineering teachers. After all, someone had to teach the future generation of Ahmeds how to build their inevitable robot army.

Model: dalle-3
Prompt: Prompt: Generate an image of a futuristic Georgia university campus with a high-tech engineering lab. Show a group of professors in the lab discussing cutting-edge engineering advancements, surrounded by student thesis projects proudly displaying the name Ahmed. Outside the lab, depict students excitedly conversing about the rising demand for flying cars and robot butlers, reflecting the increasing popularity of the name Ahmed and the growth in the number of engineering teachers at the university. The scene should capture the bustling energy of the campus and convey a sense of progress and innovation. 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 Ahmed and The number of university engineering teachers in Georgia. 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: High-tech a meme Parallax art Psychedelic Low poly
ChatGPT: High-tech

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 Ahmed and The number of university engineering teachers in Georgia, in the following situation: Because as the popularity of the name Ahmed increases, so does the demand for futuristic engineering gadgets, resulting in a surge of university engineering teachers in Georgia to keep up with the demand for expert knowledge on how to build flying cars and robot butlers.. Keep the description simple.
ChatGPT: In a bustling Georgia university campus, a group of engineering teachers gather in a state-of-the-art lab. The name Ahmed is proudly displayed on several student thesis projects, while the professors engage in lively discussions about the latest advancements in futuristic engineering. Outside the lab, students excitedly talk about the emerging demand for flying cars and robot butlers, reflecting the surge in popularity of the name Ahmed and the increasing number of university engineering teachers in Georgia.

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: [ High-tech ] and depicting this scene: In a bustling Georgia university campus, a group of engineering teachers gather in a state-of-the-art lab. The name Ahmed is proudly displayed on several student thesis projects, while the professors engage in lively discussions about the latest advancements in futuristic engineering. Outside the lab, students excitedly talk about the emerging demand for flying cars and robot butlers, reflecting the surge in popularity of the name Ahmed and the increasing number of university engineering teachers in Georgia. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Prompt: Generate an image of a futuristic Georgia university campus with a high-tech engineering lab. Show a group of professors in the lab discussing cutting-edge engineering advancements, surrounded by student thesis projects proudly displaying the name Ahmed. Outside the lab, depict students excitedly conversing about the rising demand for flying cars and robot butlers, reflecting the increasing popularity of the name Ahmed and the growth in the number of engineering teachers at the university. The scene should capture the bustling energy of the campus and convey a sense of progress and innovation.

*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 increases in Popularity of the first name Ahmed positively influenced The number of university engineering teachers in Georgia. Add a funny one-liner at the end.

AI academic paper

(Because p < 0.01)
Ahmed: A Name to Engineer By? Investigating the Correlation Between Ahmed's Popularity and University Engineering Teachers in Georgia

The Journal of Cultural Naming Studies

Jan 2024
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 witty academic researcher. Your writing sounds like it belongs in a statistics 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 Ahmed and The number of university engineering teachers in Georgia. Make lots of jokes, goofy observations, and puns.

Make the title seem clever.

Your research team used data from US Social Security Administration and Bureau of Larbor Statistics to assess this nagging question. You found a correlation coefficient of 0.8883573 and p < 0.01 for 2003 to 2019.

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]]
Ahmed: A Name to Engineer By? Investigating the Correlation Between Ahmed's Popularity and University Engineering Teachers in Georgia

[[ABSTRACT]]
This study explores the intriguing relationship between the popularity of the first name Ahmed and the number of university engineering teachers in the state of Georgia. Drawing on data from the US Social Security Administration and the Bureau of Labor Statistics, our research team delved into the correlation between the frequency of the name Ahmed and the presence of engineering educators in academic institutions. Utilizing statistical analysis, we uncovered a striking correlation coefficient of 0.8883573 and a p-value of less than 0.01 for the years spanning 2003 to 2019. The findings not only provide a compelling statistical link but also prompt a plethora of puns and playful observations. From "Ahmed-ical engineers" to "Ahmed-ing the odds," this study sheds light on the lighthearted yet thought-provoking connection between a name and a profession.


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics 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 Ahmed and The number of university engineering teachers in Georgia. Make lots of jokes, goofy observations, and puns.

Here is the title and abstract of the paper:
[[TITLE]]
Ahmed: A Name to Engineer By? Investigating the Correlation Between Ahmed's Popularity and University Engineering Teachers in Georgia

[[ABSTRACT]]
This study explores the intriguing relationship between the popularity of the first name Ahmed and the number of university engineering teachers in the state of Georgia. Drawing on data from the US Social Security Administration and the Bureau of Labor Statistics, our research team delved into the correlation between the frequency of the name Ahmed and the presence of engineering educators in academic institutions. Utilizing statistical analysis, we uncovered a striking correlation coefficient of 0.8883573 and a p-value of less than 0.01 for the years spanning 2003 to 2019. The findings not only provide a compelling statistical link but also prompt a plethora of puns and playful observations. From "Ahmed-ical engineers" to "Ahmed-ing the odds," this study sheds light on the lighthearted yet thought-provoking connection between a name and a profession.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

Ahmed, a name often associated with strength and wisdom, has sparked our curiosity in the context of engineering education. In this whimsical yet data-driven study, we embark on a fascinating journey to uncover a correlation that is as captivating as it is unexpected - the relationship between the prevalence of the name Ahmed and the number of university engineering teachers in the charming state of Georgia.

As the age-old question goes, "What's in a name?" According to Shakespeare, a rose by any other name would smell as sweet, but would an engineer by any other name still excel at calculus and thermodynamics? That's what we aim to find out.

The motivation behind our investigation stems from the intriguing mystery that surrounds the influence of names on career choices. Could a name truly hold sway over an individual's chosen profession? Or is it all just a ploy by numerologists and name enthusiasts to sprinkle a dash of mystique into the mundane world of statistical analysis?

With boundless enthusiasm and an abundance of puns at our disposal, we set out to explore the amusing coincidence of the name "Ahmed" and the noble profession of engineering. Our study aims not only to unravel the statistical significance but also to infuse a touch of levity into the often solemn realm of academic research.

Through the use of meticulously collected data from the US Social Security Administration and the Bureau of Labor Statistics, we endeavor to shed light on this captivating correlation. Our analysis promises to unearth a statistical relationship that will not only intrigue the academic community but also weave a tapestry of humorous observations and unexpected revelations.

The findings of this study are poised to transform the way we perceive the influence of nomenclature on career paths. So, buckle up and get ready to embark on an exhilarating journey through the realm of statistics, where the unexpected connection between a name and a profession awaits.


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics 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 Ahmed and The number of university engineering teachers in Georgia. Make lots of jokes, goofy observations, and puns.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then 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]]
Ahmed: A Name to Engineer By? Investigating the Correlation Between Ahmed's Popularity and University Engineering Teachers in Georgia

[[ABSTRACT]]
This study explores the intriguing relationship between the popularity of the first name Ahmed and the number of university engineering teachers in the state of Georgia. Drawing on data from the US Social Security Administration and the Bureau of Labor Statistics, our research team delved into the correlation between the frequency of the name Ahmed and the presence of engineering educators in academic institutions. Utilizing statistical analysis, we uncovered a striking correlation coefficient of 0.8883573 and a p-value of less than 0.01 for the years spanning 2003 to 2019. The findings not only provide a compelling statistical link but also prompt a plethora of puns and playful observations. From "Ahmed-ical engineers" to "Ahmed-ing the odds," this study sheds light on the lighthearted yet thought-provoking connection between a name and a profession.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
Ahmed, a name often associated with strength and wisdom, has sparked our curiosity in the context of engineering education. In this whimsical yet data-driven study, we embark on a fascinating journey to uncover a correlation that is as captivating as it is unexpected - the relationship between the prevalence of the name Ahmed and the number of university engineering teachers in the charming state of Georgia.
As the age-old question goes, "What's in a name?" According to Shakespeare, a rose by any other name would smell as sweet, but would an engineer by any other name still excel at calculus and thermodynamics? That's what we aim to find out.
The motivation behind our investigation stems from the intriguing mystery that surrounds the influence of names on career choices. Could a name truly hold sway over an individual's chosen profession? Or is it all just a ploy by numerologists and name enthusiasts to sprinkle a dash of mystique into the mundane world of statistical analysis?
With boundless enthusiasm and an abundance of puns at our disposal, we set out to explore the amusing coincidence of the name "Ahmed" and the noble profession of engineering. Our study aims not only to unravel the statistical significance but also to infuse a touch of levity into the often solemn realm of academic research.
Through the use of meticulously collected data from the US Social Security Administration and the Bureau of Labor Statistics, we endeavor to shed light on this captivating correlation. Our analysis promises to unearth a statistical relationship that will not only intrigue the academic community but also weave a tapestry of humorous observations and unexpected revelations.
The findings of this study are poised to transform the way we perceive the influence of nomenclature on career paths. So, buckle up and get ready to embark on an exhilarating journey through the realm of statistics, where the unexpected connection between a name and a profession awaits.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

Smith (2015) found a positive correlation between the popularity of the first name Ahmed and the number of university engineering teachers in the state of Georgia, setting the stage for our investigation. Similarly, Doe (2017) conducted a study on the influence of names on career choices, uncovering intriguing patterns that piqued our interest. Jones (2019) expanded on this research, delving into the subconscious impact of nomenclature on professional trajectories, laying the groundwork for our exploration.

In "The Influence of Names on Career Paths" by Johnson et al. (2018), the authors discuss the psychological implications of names on individuals' professional aspirations, offering insights that resonate with the focal point of our study. Furthermore, Brown's (2016) work on "Exploring Name-Profession Associations" contributes to our understanding of the multifaceted relationship between names and careers.

Moving onto somewhat less conventional sources, "The Adventures of Ahmed the Engineering Extraordinaire" by Knight (2005) and "Ahmed's Mechanical Marvels: A Tale of Engineering Excellence" by Lee (2013) provide fictional narratives that, while not empirical in nature, offer a whimsical perspective on the intersection of the name Ahmed and the field of engineering.

Drawing inspiration from unexpected quarters, the animated series "Ahmed the All-Knowing Engineer" and the children's show "Ahmed's Adventures in Engineering Land" sparked our curiosity and perhaps our inner child, as we delved into the playful aspect of our research topic. These non-traditional sources not only injected a dose of levity into our investigation but also expanded our view of the myriad ways in which the name Ahmed and engineering can intertwine.

As we navigate the scholarly and lighthearted avenues of literature, we begin to appreciate the wealth of perspectives and the playful depth that this correlation offers. These diverse sources not only inform but also entertain, enriching our understanding of the engaging correlation between a name and a profession.


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics 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 Ahmed and The number of university engineering teachers in Georgia. Make lots of 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 Bureau of Larbor Statistics . You used data from 2003 to 2019

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]]
Ahmed: A Name to Engineer By? Investigating the Correlation Between Ahmed's Popularity and University Engineering Teachers in Georgia

[[ABSTRACT]]
This study explores the intriguing relationship between the popularity of the first name Ahmed and the number of university engineering teachers in the state of Georgia. Drawing on data from the US Social Security Administration and the Bureau of Labor Statistics, our research team delved into the correlation between the frequency of the name Ahmed and the presence of engineering educators in academic institutions. Utilizing statistical analysis, we uncovered a striking correlation coefficient of 0.8883573 and a p-value of less than 0.01 for the years spanning 2003 to 2019. The findings not only provide a compelling statistical link but also prompt a plethora of puns and playful observations. From "Ahmed-ical engineers" to "Ahmed-ing the odds," this study sheds light on the lighthearted yet thought-provoking connection between a name and a profession.

[[INTRODUCTION]]
Ahmed, a name often associated with strength and wisdom, has sparked our curiosity in the context of engineering education. In this whimsical yet data-driven study, we embark on a fascinating journey to uncover a correlation that is as captivating as it is unexpected - the relationship between the prevalence of the name Ahmed and the number of university engineering teachers in the charming state of Georgia.
As the age-old question goes, "What's in a name?" According to Shakespeare, a rose by any other name would smell as sweet, but would an engineer by any other name still excel at calculus and thermodynamics? That's what we aim to find out.
The motivation behind our investigation stems from the intriguing mystery that surrounds the influence of names on career choices. Could a name truly hold sway over an individual's chosen profession? Or is it all just a ploy by numerologists and name enthusiasts to sprinkle a dash of mystique into the mundane world of statistical analysis?
With boundless enthusiasm and an abundance of puns at our disposal, we set out to explore the amusing coincidence of the name "Ahmed" and the noble profession of engineering. Our study aims not only to unravel the statistical significance but also to infuse a touch of levity into the often solemn realm of academic research.
Through the use of meticulously collected data from the US Social Security Administration and the Bureau of Labor Statistics, we endeavor to shed light on this captivating correlation. Our analysis promises to unearth a statistical relationship that will not only intrigue the academic community but also weave a tapestry of humorous observations and unexpected revelations.
The findings of this study are poised to transform the way we perceive the influence of nomenclature on career paths. So, buckle up and get ready to embark on an exhilarating journey through the realm of statistics, where the unexpected connection between a name and a profession awaits.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To unravel the enigmatic correlation between the prevalence of the name Ahmed and the number of university engineering teachers in the charming state of Georgia, our research team embarked on a methodological odyssey that combined elements of statistical analysis, data mining, and a sprinkle of whimsy.

First, we scoured the vast expanse of the internet, navigating through the digital labyrinth with the determination of intrepid data explorers. Our primary sources were the repositories of the US Social Security Administration and the Bureau of Labor Statistics, which provided the treasure trove of names and occupation data from the years 2003 to 2019.

Embracing the spirit of adventure, we employed a convoluted algorithmic concoction, affectionately dubbed the "Ahmed Analyzer 9000", to meticulously sift through the data and extract the pertinent information related to the frequency of the name Ahmed and the count of engineering educators in the state of Georgia. This algorithm not only incorporated sophisticated statistical models but also had a whimsical feature that emitted a celebratory tune every time a correlation coefficient was computed - a little reward for our hardworking data wizards.

Next, we applied a series of rigorous statistical analyses, including but not limited to the Pearson Correlation Coefficient, least squares regression, and time series analysis, to unravel the mystical connection between the name Ahmed and the noble profession of engineering. We donned our statistical wizard hats and conjured up the powers of inferential statistics to reveal the extent of the correlation, all the while balancing formulas and puns in equal measure.

As a playful twist, we also embraced the qualitative side of our investigation, engaging in lighthearted discussions and brainstorming sessions to generate puns, quips, and witty observations that would accompany our scholarly rigorous findings. After all, what is academia without a dash of levity and a sprinkle of wordplay?

In summary, our methodological approach blended the realms of empirical data analysis, statistical modeling, and a whimsical narrative, creating a tapestry of discovery that transcends the boundaries of traditional methodology and introduces a breath of fresh air into the world of academic research.


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics 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 Ahmed and The number of university engineering teachers in Georgia. Make lots of 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 Bureau of Larbor Statistics .

For the time period 2003 to 2019, you found a correlation 0.8883573, r-squared of 0.7891787, 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]]
Ahmed: A Name to Engineer By? Investigating the Correlation Between Ahmed's Popularity and University Engineering Teachers in Georgia

[[ABSTRACT]]
This study explores the intriguing relationship between the popularity of the first name Ahmed and the number of university engineering teachers in the state of Georgia. Drawing on data from the US Social Security Administration and the Bureau of Labor Statistics, our research team delved into the correlation between the frequency of the name Ahmed and the presence of engineering educators in academic institutions. Utilizing statistical analysis, we uncovered a striking correlation coefficient of 0.8883573 and a p-value of less than 0.01 for the years spanning 2003 to 2019. The findings not only provide a compelling statistical link but also prompt a plethora of puns and playful observations. From "Ahmed-ical engineers" to "Ahmed-ing the odds," this study sheds light on the lighthearted yet thought-provoking connection between a name and a profession.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
Ahmed, a name often associated with strength and wisdom, has sparked our curiosity in the context of engineering education. In this whimsical yet data-driven study, we embark on a fascinating journey to uncover a correlation that is as captivating as it is unexpected - the relationship between the prevalence of the name Ahmed and the number of university engineering teachers in the charming state of Georgia.
As the age-old question goes, "What's in a name?" According to Shakespeare, a rose by any other name would smell as sweet, but would an engineer by any other name still excel at calculus and thermodynamics? That's what we aim to find out.
The motivation behind our investigation stems from the intriguing mystery that surrounds the influence of names on career choices. Could a name truly hold sway over an individual's chosen profession? Or is it all just a ploy by numerologists and name enthusiasts to sprinkle a dash of mystique into the mundane world of statistical analysis?
With boundless enthusiasm and an abundance of puns at our disposal, we set out to explore the amusing coincidence of the name "Ahmed" and the noble profession of engineering. Our study aims not only to unravel the statistical significance but also to infuse a touch of levity into the often solemn realm of academic research.
Through the use of meticulously collected data from the US Social Security Administration and the Bureau of Labor Statistics, we endeavor to shed light on this captivating correlation. Our analysis promises to unearth a statistical relationship that will not only intrigue the academic community but also weave a tapestry of humorous observations and unexpected revelations.
The findings of this study are poised to transform the way we perceive the influence of nomenclature on career paths. So, buckle up and get ready to embark on an exhilarating journey through the realm of statistics, where the unexpected connection between a name and a profession awaits.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The analysis of the data revealed a striking correlation between the popularity of the first name Ahmed and the number of university engineering teachers in Georgia. As the numbers were crunched and the scatterplot plotted, the correlation coefficient of 0.8883573 emerged, indicating a robust positive relationship between these seemingly unrelated variables. If we were to put it in layman's terms, the prevalence of the name "Ahmed" seemed to go hand in hand with an increase in the number of engineering educators in the peach state.

The r-squared value of 0.7891787 further solidified the strength of this relationship, indicating that approximately 79% of the variation in the number of engineering teachers could be explained by the popularity of the name Ahmed. It's as if the name wielded an invisible force, drawing aspiring engineers towards the noble vocation of teaching engineering in Georgia.

With a p-value of less than 0.01, we can confidently assert that this relationship is not due to mere chance. The probability of observing such a strong association between the name Ahmed and the presence of engineering educators is indeed quite slim, making these findings all the more remarkable.

As for the scatterplot (Fig. 1), it visually encapsulates the compelling correlation we uncovered. The data points align themselves in a strikingly linear fashion, akin to the way math and science align in the curriculum of engineering education. The connection between the two variables is unmistakably clear, much like the blueprint of a well-designed engineering marvel.

In conclusion, our findings not only highlight the statistically significant correlation between the popularity of the name Ahmed and the number of university engineering teachers in Georgia but also underline the playful and thought-provoking nature of this investigation. The whimsical link between a name and a profession has certainly sparked our curiosity, leaving us with a newfound appreciation for the unexpected connections that statistics can unveil.


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics 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 Ahmed and The number of university engineering teachers in Georgia. Make lots of jokes, goofy observations, and puns.

Limit your response to 500 tokens.

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

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

[[TITLE]]
Ahmed: A Name to Engineer By? Investigating the Correlation Between Ahmed's Popularity and University Engineering Teachers in Georgia

[[ABSTRACT]]
This study explores the intriguing relationship between the popularity of the first name Ahmed and the number of university engineering teachers in the state of Georgia. Drawing on data from the US Social Security Administration and the Bureau of Labor Statistics, our research team delved into the correlation between the frequency of the name Ahmed and the presence of engineering educators in academic institutions. Utilizing statistical analysis, we uncovered a striking correlation coefficient of 0.8883573 and a p-value of less than 0.01 for the years spanning 2003 to 2019. The findings not only provide a compelling statistical link but also prompt a plethora of puns and playful observations. From "Ahmed-ical engineers" to "Ahmed-ing the odds," this study sheds light on the lighthearted yet thought-provoking connection between a name and a profession.

[[LITERATURE REVIEW]]
Smith (2015) found a positive correlation between the popularity of the first name Ahmed and the number of university engineering teachers in the state of Georgia, setting the stage for our investigation. Similarly, Doe (2017) conducted a study on the influence of names on career choices, uncovering intriguing patterns that piqued our interest. Jones (2019) expanded on this research, delving into the subconscious impact of nomenclature on professional trajectories, laying the groundwork for our exploration.
In "The Influence of Names on Career Paths" by Johnson et al. (2018), the authors discuss the psychological implications of names on individuals' professional aspirations, offering insights that resonate with the focal point of our study. Furthermore, Brown's (2016) work on "Exploring Name-Profession Associations" contributes to our understanding of the multifaceted relationship between names and careers.
Moving onto somewhat less conventional sources, "The Adventures of Ahmed the Engineering Extraordinaire" by Knight (2005) and "Ahmed's Mechanical Marvels: A Tale of Engineering Excellence" by Lee (2013) provide fictional narratives that, while not empirical in nature, offer a whimsical perspective on the intersection of the name Ahmed and the field of engineering.
Drawing inspiration from unexpected quarters, the animated series "Ahmed the All-Knowing Engineer" and the children's show "Ahmed's Adventures in Engineering Land" sparked our curiosity and perhaps our inner child, as we delved into the playful aspect of our research topic. These non-traditional sources not only injected a dose of levity into our investigation but also expanded our view of the myriad ways in which the name Ahmed and engineering can intertwine.
As we navigate the scholarly and lighthearted avenues of literature, we begin to appreciate the wealth of perspectives and the playful depth that this correlation offers. These diverse sources not only inform but also entertain, enriching our understanding of the engaging correlation between a name and a profession.

[[RESULTS]]
The analysis of the data revealed a striking correlation between the popularity of the first name Ahmed and the number of university engineering teachers in Georgia. As the numbers were crunched and the scatterplot plotted, the correlation coefficient of 0.8883573 emerged, indicating a robust positive relationship between these seemingly unrelated variables. If we were to put it in layman's terms, the prevalence of the name "Ahmed" seemed to go hand in hand with an increase in the number of engineering educators in the peach state.
The r-squared value of 0.7891787 further solidified the strength of this relationship, indicating that approximately 79% of the variation in the number of engineering teachers could be explained by the popularity of the name Ahmed. It's as if the name wielded an invisible force, drawing aspiring engineers towards the noble vocation of teaching engineering in Georgia.
With a p-value of less than 0.01, we can confidently assert that this relationship is not due to mere chance. The probability of observing such a strong association between the name Ahmed and the presence of engineering educators is indeed quite slim, making these findings all the more remarkable.
As for the scatterplot (Fig. 1), it visually encapsulates the compelling correlation we uncovered. The data points align themselves in a strikingly linear fashion, akin to the way math and science align in the curriculum of engineering education. The connection between the two variables is unmistakably clear, much like the blueprint of a well-designed engineering marvel.
In conclusion, our findings not only highlight the statistically significant correlation between the popularity of the name Ahmed and the number of university engineering teachers in Georgia but also underline the playful and thought-provoking nature of this investigation. The whimsical link between a name and a profession has certainly sparked our curiosity, leaving us with a newfound appreciation for the unexpected connections that statistics can unveil.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The correlation between the popularity of the name Ahmed and the number of university engineering teachers in Georgia has left us both puzzled and delighted. Our findings uncover a compelling statistical relationship that seems to defy conventional wisdom, much like a slightly off-kilter engineering design. Our results not only support prior research, including the work of Smith (2015), but also add an unexpected twist to the dialogue on the impact of nomenclature on professional paths.

The positive correlation coefficient of 0.8883573 echoes the resounding harmony between the name Ahmed and the pedagogues of engineering in the peach state. This robust correlation not only aligns with the findings of previous studies but also illuminates the playful and thought-provoking connections that can emerge from the unlikeliest of sources. The r-squared value of 0.7891787 further solidifies the strength of this relationship, emphasizing that a significant portion of the variation in the number of engineering teachers in Georgia can be attributed to the prevalence of the name Ahmed. It's almost as if the name exerts a magnetic pull, drawing individuals towards the scholarly pursuit of engineering education.

Our results, with a p-value of less than 0.01, dispel any suspicion that this correlation could be mere happenstance. The likelihood of such a strong association occurring by chance is akin to stumbling upon a perfectly calibrated slide rule in an antique shop - exceedingly rare. The scatterplot (Fig. 1) visually encapsulates this compelling correlation, akin to the seamless alignment of gears in a precisely engineered mechanical system. The unmistakably linear alignment of the data points speaks to the compelling synchronicity between the name Ahmed and the presence of engineering educators, much like the flawless execution of a well-crafted engineering blueprint.

This study, rooted in statistical analysis, not only provides empirical evidence for the correlation between the name Ahmed and the number of university engineering teachers in Georgia but also adds a lighthearted twist to the scholarly discourse. The playful nature of this investigation, from "Ahmed-ical engineers" to "Ahmed-ing the odds," shines a light on the unexpected connections that statistical analysis can uncover. Our findings leave us with a newfound appreciation for the whimsical and thought-provoking nature of statistical research and its potential to unveil correlations that tickle both the intellect and the funny bone.


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics 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 Ahmed and The number of university engineering teachers in Georgia. Make lots of jokes, goofy observations, and puns.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Ahmed: A Name to Engineer By? Investigating the Correlation Between Ahmed's Popularity and University Engineering Teachers in Georgia

[[ABSTRACT]]
This study explores the intriguing relationship between the popularity of the first name Ahmed and the number of university engineering teachers in the state of Georgia. Drawing on data from the US Social Security Administration and the Bureau of Labor Statistics, our research team delved into the correlation between the frequency of the name Ahmed and the presence of engineering educators in academic institutions. Utilizing statistical analysis, we uncovered a striking correlation coefficient of 0.8883573 and a p-value of less than 0.01 for the years spanning 2003 to 2019. The findings not only provide a compelling statistical link but also prompt a plethora of puns and playful observations. From "Ahmed-ical engineers" to "Ahmed-ing the odds," this study sheds light on the lighthearted yet thought-provoking connection between a name and a profession.

[[INTRDUCTION]]
Ahmed, a name often associated with strength and wisdom, has sparked our curiosity in the context of engineering education. In this whimsical yet data-driven study, we embark on a fascinating journey to uncover a correlation that is as captivating as it is unexpected - the relationship between the prevalence of the name Ahmed and the number of university engineering teachers in the charming state of Georgia.
As the age-old question goes, "What's in a name?" According to Shakespeare, a rose by any other name would smell as sweet, but would an engineer by any other name still excel at calculus and thermodynamics? That's what we aim to find out.
The motivation behind our investigation stems from the intriguing mystery that surrounds the influence of names on career choices. Could a name truly hold sway over an individual's chosen profession? Or is it all just a ploy by numerologists and name enthusiasts to sprinkle a dash of mystique into the mundane world of statistical analysis?
With boundless enthusiasm and an abundance of puns at our disposal, we set out to explore the amusing coincidence of the name "Ahmed" and the noble profession of engineering. Our study aims not only to unravel the statistical significance but also to infuse a touch of levity into the often solemn realm of academic research.
Through the use of meticulously collected data from the US Social Security Administration and the Bureau of Labor Statistics, we endeavor to shed light on this captivating correlation. Our analysis promises to unearth a statistical relationship that will not only intrigue the academic community but also weave a tapestry of humorous observations and unexpected revelations.
The findings of this study are poised to transform the way we perceive the influence of nomenclature on career paths. So, buckle up and get ready to embark on an exhilarating journey through the realm of statistics, where the unexpected connection between a name and a profession awaits.

[[RESULTS]]
The analysis of the data revealed a striking correlation between the popularity of the first name Ahmed and the number of university engineering teachers in Georgia. As the numbers were crunched and the scatterplot plotted, the correlation coefficient of 0.8883573 emerged, indicating a robust positive relationship between these seemingly unrelated variables. If we were to put it in layman's terms, the prevalence of the name "Ahmed" seemed to go hand in hand with an increase in the number of engineering educators in the peach state.
The r-squared value of 0.7891787 further solidified the strength of this relationship, indicating that approximately 79% of the variation in the number of engineering teachers could be explained by the popularity of the name Ahmed. It's as if the name wielded an invisible force, drawing aspiring engineers towards the noble vocation of teaching engineering in Georgia.
With a p-value of less than 0.01, we can confidently assert that this relationship is not due to mere chance. The probability of observing such a strong association between the name Ahmed and the presence of engineering educators is indeed quite slim, making these findings all the more remarkable.
As for the scatterplot (Fig. 1), it visually encapsulates the compelling correlation we uncovered. The data points align themselves in a strikingly linear fashion, akin to the way math and science align in the curriculum of engineering education. The connection between the two variables is unmistakably clear, much like the blueprint of a well-designed engineering marvel.
In conclusion, our findings not only highlight the statistically significant correlation between the popularity of the name Ahmed and the number of university engineering teachers in Georgia but also underline the playful and thought-provoking nature of this investigation. The whimsical link between a name and a profession has certainly sparked our curiosity, leaving us with a newfound appreciation for the unexpected connections that statistics can unveil.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our study has unveiled a correlation between the popularity of the name Ahmed and the number of university engineering teachers in Georgia that is as strong as steel beams in a skyscraper. The statistical analysis has illuminated a striking relationship, leaving us marveling at the mysterious allure of nomenclature and career paths.

The findings not only raise eyebrows but also prompt a barrage of puns and playful observations. From "Ahmed-ical engineers" to "Ahmed-ing the odds," this study has demonstrated that even in the world of statistical analysis, there is always room for a good pun.

We are left pondering whether there is an "Ahmed-gical" force at play, drawing individuals with this name towards the noble profession of engineering education. It seems that the name "Ahmed" carries a certain gravitational pull, akin to a black hole in the cosmic realm, attracting aspiring engineering educators in Georgia.

The results have uncovered a correlation coefficient of 0.8883573, indicating a robust positive relationship between the prevalence of the name Ahmed and the number of engineering teachers. It's as if the name "Ahmed" is etched in the equation of engineering education in Georgia, adding a mysterious variable to the statistical model that cannot be ignored.

As we reflect on the whimsical yet thought-provoking nature of this investigation, we are inclined to say that no further research is needed in this area. We have not only shed light on the statistical significance of this correlation but also added a touch of humor and amusement to the often solemn realm of academic research. It's safe to say that the connection between a name and a profession has been thoroughly Ah-med.


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 Ahmed: A Name to Engineer By? Investigating the Correlation Between Ahmed's Popularity and University Engineering Teachers in Georgia. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Cultural Naming 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 Ahmed: A Name to Engineer By? Investigating the Correlation Between Ahmed's Popularity and University Engineering Teachers in Georgia. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Applied Nameology


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 Ahmed: A Name to Engineer By? Investigating the Correlation Between Ahmed's Popularity and University Engineering Teachers in Georgia with an abstract of This study explores the intriguing relationship between the popularity of the first name Ahmed and the number of university engineering teachers in the state of Georgia. Drawing on data from the US Social Security Administration and the Bureau of Labor Statistics, our research team delved into the correlation between the frequency of the name Ahmed and the presence of engineering educators in academic institutions. Utilizing statistical analysis, we uncovered a striking correlation coefficient of 0.8883573 and a p-value of less than 0.01 for the years spanning 2003 to 2019. The findings not only provide a compelling statistical link but also prompt a plethora of puns and playful observations. From "Ahmed-ical engineers" to "Ahmed-ing the odds," this study sheds light on the lighthearted yet thought-provoking connection between a name and a profession.

ChatGPT:

Ahmed, name popularity, university engineering teachers, Georgia, correlation, US Social Security Administration data, Bureau of Labor Statistics, statistical analysis, correlation coefficient, p-value, 2003-2019, name and profession relationship, lighthearted observations

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

The number of university engineering teachers in Georgia
Detailed data title: BLS estimate of engineering teachers, postsecondary in Georgia
Source: Bureau of Larbor Statistics
See what else correlates with The number of university engineering teachers in Georgia

Correlation r = 0.8883573 (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 = 0.7891787 (Coefficient of determination)
This means 78.9% of the change in the one variable (i.e., The number of university engineering teachers in Georgia) is predictable based on the change in the other (i.e., Popularity of the first name Ahmed) over the 17 years from 2003 through 2019.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.91E-6. 0.0000019090978296137234000000
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 0.89 in 0.000191% of random cases. Said differently, if you correlated 523,808 random variables You don't actually need 523 thousand variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.

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

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

Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 16 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 16 because we have two variables measured over a period of 17 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.

[ 0.71, 0.96 ] 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.
20032004200520062007200820092010201120122013201420152016201720182019
Popularity of the first name Ahmed (Babies born)429454424443448443446476477540510501590580558522462
The number of university engineering teachers in Georgia (Laborers)9090150130230180800730720105010001100164015601670360290




Why this works

  1. 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.
  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. 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([429,454,424,443,448,443,446,476,477,540,510,501,590,580,558,522,462,])
array_2 = np.array([90,90,150,130,230,180,800,730,720,1050,1000,1100,1640,1560,1670,360,290,])
array_1_name = "Popularity of the first name Ahmed"
array_2_name = "The number of university engineering teachers in Georgia"

# 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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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: 3784 · Black Variable ID: 3214 · Red Variable ID: 6748
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