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AI explanation
Children named Moesha were destined to work in the coil winding industry, but as the name fell out of favor, so did the career prospects for future coil winders, tapers, and finishers in Missouri. The Moesha Effect was real, and it was shocking the job market in more ways than one!
Model: dalle-3
Prompt: Create an image of a dynamic TIME magazine-style cover featuring the scene described. Show a bustling Missouri town backdrop with a prominent factory sign, buzzing with activity as skilled workers manufacture high-quality products. In the foreground, depict a lively local park scene with happy parents socializing, while Moesha, a popular little girl, surrounded by friends and laughter, plays and interacts with others. Ensure that the overall composition evokes the energetic and vibrant ambiance of the thriving town. 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 Moesha and The number of coil winders, tapers, and finishers in Missouri. 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: Low poly A TIME magazine cover image 3D Pixar Style A scene from Skyrim Cubism
ChatGPT: A TIME magazine cover 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 Moesha and The number of coil winders, tapers, and finishers in Missouri together. Keep the description simple.
ChatGPT: In a bustling town in Missouri, a large sign hangs proudly outside a newly opened factory. Inside, a team of skilled coil winders, tapers, and finishers work together to produce high-quality products. Meanwhile, in the same town, a group of happy parents gather at a local park, chatting and calling out to their kids. Among them stands a little girl named Moesha, who is surrounded by friends and laughter, her popularity evident as she plays and socializes with others.
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 TIME magazine cover image ] and depicting this scene: In a bustling town in Missouri, a large sign hangs proudly outside a newly opened factory. Inside, a team of skilled coil winders, tapers, and finishers work together to produce high-quality products. Meanwhile, in the same town, a group of happy parents gather at a local park, chatting and calling out to their kids. Among them stands a little girl named Moesha, who is surrounded by friends and laughter, her popularity evident as she plays and socializes with others. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Create an image of a dynamic TIME magazine-style cover featuring the scene described. Show a bustling Missouri town backdrop with a prominent factory sign, buzzing with activity as skilled workers manufacture high-quality products. In the foreground, depict a lively local park scene with happy parents socializing, while Moesha, a popular little girl, surrounded by friends and laughter, plays and interacts with others. Ensure that the overall composition evokes the energetic and vibrant ambiance of the thriving town.
*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.
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 Moesha caused The number of coil winders, tapers, and finishers in Missouri to decrease.
AI academic paper
 |
The Moesha Conundrum: Exploring the Correlation between Name Popularity and the Industrial Workforce in Missouri The Journal of Investigative Nameology Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Moesha and The number of coil winders, tapers, and finishers in Missouri. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Make the title punny if you can come up with clever pun. If not, make it sound serious.
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 0.9224933 and p < 0.01 for 2003 to 2014.
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 Moesha Conundrum: Exploring the Correlation between Name Popularity and the Industrial Workforce in Missouri"
[[ABSTRACT]]
This study delves into the peculiar relationship between the popularity of the first name "Moesha" and the employment statistics of coil winders, tapers, and finishers in the state of Missouri. By utilizing data from the US Social Security Administration and the Bureau of Labor Statistics spanning the period from 2003 to 2014, we uncovered a striking correlation coefficient of 0.9224933 and a statistically significant p-value of less than 0.01.
Our research delves into the intricate interplay between seemingly unrelated societal phenomena, unearthing a surprisingly robust connection between the ebb and flow of this particular name's prominence and the employment trends within the coil winding, tapering, and finishing sectors of Missouri's workforce. The findings of this study not only shed light on a hitherto overlooked pattern but also serve as a whimsical reminder of the delightful and confounding idiosyncrasies present within our world.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Moesha and The number of coil winders, tapers, and finishers in Missouri. 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 Moesha Conundrum: Exploring the Correlation between Name Popularity and the Industrial Workforce in Missouri"
[[ABSTRACT]]
This study delves into the peculiar relationship between the popularity of the first name "Moesha" and the employment statistics of coil winders, tapers, and finishers in the state of Missouri. By utilizing data from the US Social Security Administration and the Bureau of Labor Statistics spanning the period from 2003 to 2014, we uncovered a striking correlation coefficient of 0.9224933 and a statistically significant p-value of less than 0.01.
Our research delves into the intricate interplay between seemingly unrelated societal phenomena, unearthing a surprisingly robust connection between the ebb and flow of this particular name's prominence and the employment trends within the coil winding, tapering, and finishing sectors of Missouri's workforce. The findings of this study not only shed light on a hitherto overlooked pattern but also serve as a whimsical reminder of the delightful and confounding idiosyncrasies present within our world.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
In the annals of academic inquiry, there exist countless studies examining the relationships between variables, seeking to unravel the mysteries that govern their behavior. From the profound to the peculiar, researchers endeavor to shed light on the intricate web of connections that bind our world. It is within this scholarly tradition that we embark on our exploration of the enigmatic correlation between the prevalence of the first name "Moesha" and the labor force engaged in the noble art of coil winding, tapering, and finishing within the confines of Missouri.
At first glance, one might dismiss this endeavor as a whimsical pursuit, a quirky diversion from more "serious" academic pursuits. However, as any seasoned researcher will attest, the seemingly ludicrous often holds the potential for profound insights. Such is the case with the "Moesha Conundrum," as we affectionately refer to it.
As we delve into the literature, we find ourselves navigating through a sea of statistical analyses and sociological musings, seeking any semblance of precedent for our peculiar investigation. Alas, our quest yields scant pertinent material, leaving us to forge ahead into uncharted territory – a scholarly endeavor that equally fascinates and bewitches the mind.
As we share our findings, we invite our esteemed colleagues to approach this peculiar correlation with a sense of intellectual curiosity and perhaps the occasional eyebrow raise. Our journey into the Moesha Conundrum promises to be both illuminating and, dare we say, entertaining. After all, who would have thought that a innocuous name and the intricate art of coil winding could be entwined in such a confounding dance of statistical significance? Hold onto your hat, dear reader, as we unravel the delightful and confounding idiosyncrasies of our world.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Moesha and The number of coil winders, tapers, and finishers in Missouri. 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 cite some social media posts you read that seem to be related.
Here is the title and abstract of the paper:
[[TITLE]]
"The Moesha Conundrum: Exploring the Correlation between Name Popularity and the Industrial Workforce in Missouri"
[[ABSTRACT]]
This study delves into the peculiar relationship between the popularity of the first name "Moesha" and the employment statistics of coil winders, tapers, and finishers in the state of Missouri. By utilizing data from the US Social Security Administration and the Bureau of Labor Statistics spanning the period from 2003 to 2014, we uncovered a striking correlation coefficient of 0.9224933 and a statistically significant p-value of less than 0.01.
Our research delves into the intricate interplay between seemingly unrelated societal phenomena, unearthing a surprisingly robust connection between the ebb and flow of this particular name's prominence and the employment trends within the coil winding, tapering, and finishing sectors of Missouri's workforce. The findings of this study not only shed light on a hitherto overlooked pattern but also serve as a whimsical reminder of the delightful and confounding idiosyncrasies present within our world.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
In the annals of academic inquiry, there exist countless studies examining the relationships between variables, seeking to unravel the mysteries that govern their behavior. From the profound to the peculiar, researchers endeavor to shed light on the intricate web of connections that bind our world. It is within this scholarly tradition that we embark on our exploration of the enigmatic correlation between the prevalence of the first name "Moesha" and the labor force engaged in the noble art of coil winding, tapering, and finishing within the confines of Missouri.
At first glance, one might dismiss this endeavor as a whimsical pursuit, a quirky diversion from more "serious" academic pursuits. However, as any seasoned researcher will attest, the seemingly ludicrous often holds the potential for profound insights. Such is the case with the "Moesha Conundrum," as we affectionately refer to it.
As we delve into the literature, we find ourselves navigating through a sea of statistical analyses and sociological musings, seeking any semblance of precedent for our peculiar investigation. Alas, our quest yields scant pertinent material, leaving us to forge ahead into uncharted territory – a scholarly endeavor that equally fascinates and bewitches the mind.
As we share our findings, we invite our esteemed colleagues to approach this peculiar correlation with a sense of intellectual curiosity and perhaps the occasional eyebrow raise. Our journey into the Moesha Conundrum promises to be both illuminating and, dare we say, entertaining. After all, who would have thought that a innocuous name and the intricate art of coil winding could be entwined in such a confounding dance of statistical significance? Hold onto your hat, dear reader, as we unravel the delightful and confounding idiosyncrasies of our world.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
The Moesha Conundrum is not only a subject of academic fascination but also a source of endless amusement. Our review of the literature reveals a dearth of prior studies directly addressing the correlation between the popularity of the first name "Moesha" and the employment statistics of coil winders, tapers, and finishers in Missouri. However, our tireless pursuit has led us through a labyrinth of scholarly works, each shedding light on related themes and tangential insights.
Smith et al. (2010) studied trends in baby name popularity across various states, uncovering intriguing patterns in naming conventions that may indirectly contribute to our understanding of the Moesha phenomenon. Meanwhile, Doe and Jones (2015) delved into the intricate web of regional employment dynamics, weaving a nuanced narrative of labor trends that indirectly resonates with our own investigation.
As we wade deeper into this perplexing conundrum, we must dive into the depths of seemingly unrelated disciplines to grasp the scope of this nuanced correlation. Books such as "Names and Society" by Johnson (2001) and "The Economics of Nomenclature" by Brown (2012) provide insights into the cultural, economic, and social factors that intertwine with the phenomenon of naming, offering a broader context for our peculiar investigation.
Venturing into more whimsical territories, the fiction of Pratchett's "Reel of the Winder" and Rowling's "Tales of Tapering and Finishing" may not provide empirical evidence, but their imaginative narratives evoke a sense of curiosity and wonder that mirrors our own academic inquiries. Who knows, perhaps the secrets of the Moesha Conundrum lie hidden within the pages of fantastical tales.
Adding a contemporary twist to our literature review, social media posts such as @NameNerd's Twitter thread on "Unusual Name Trends and Occupational Choices" and @CoilWhiz's insightful LinkedIn article on "Coiling into the Future: Labor Market Analysis" offer anecdotal perspectives that resonate with our research findings. These digital snippets provide a glimpse into public discourse surrounding the intersection of naming conventions and industrial occupations, sparking a twinkle of recognition amidst the vast expanse of scholarly literature.
In light of our literature review, the correlation – nay, the quirky dance – between the popularity of the first name "Moesha" and the labor force engaged in the noble art of coil winding, tapering, and finishing stands as a conundrum to behold. With this eclectic array of sources, we delve into this intellectual escapade, embracing the whimsical and confounding idiosyncrasies of our world with scholarly fervor and an irrepressible sense of humor.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Moesha and The number of coil winders, tapers, and finishers in Missouri. 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 Bureau of Larbor Statistics . You used data from 2003 to 2014
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 Moesha Conundrum: Exploring the Correlation between Name Popularity and the Industrial Workforce in Missouri"
[[ABSTRACT]]
This study delves into the peculiar relationship between the popularity of the first name "Moesha" and the employment statistics of coil winders, tapers, and finishers in the state of Missouri. By utilizing data from the US Social Security Administration and the Bureau of Labor Statistics spanning the period from 2003 to 2014, we uncovered a striking correlation coefficient of 0.9224933 and a statistically significant p-value of less than 0.01.
Our research delves into the intricate interplay between seemingly unrelated societal phenomena, unearthing a surprisingly robust connection between the ebb and flow of this particular name's prominence and the employment trends within the coil winding, tapering, and finishing sectors of Missouri's workforce. The findings of this study not only shed light on a hitherto overlooked pattern but also serve as a whimsical reminder of the delightful and confounding idiosyncrasies present within our world.
[[INTRODUCTION]]
In the annals of academic inquiry, there exist countless studies examining the relationships between variables, seeking to unravel the mysteries that govern their behavior. From the profound to the peculiar, researchers endeavor to shed light on the intricate web of connections that bind our world. It is within this scholarly tradition that we embark on our exploration of the enigmatic correlation between the prevalence of the first name "Moesha" and the labor force engaged in the noble art of coil winding, tapering, and finishing within the confines of Missouri.
At first glance, one might dismiss this endeavor as a whimsical pursuit, a quirky diversion from more "serious" academic pursuits. However, as any seasoned researcher will attest, the seemingly ludicrous often holds the potential for profound insights. Such is the case with the "Moesha Conundrum," as we affectionately refer to it.
As we delve into the literature, we find ourselves navigating through a sea of statistical analyses and sociological musings, seeking any semblance of precedent for our peculiar investigation. Alas, our quest yields scant pertinent material, leaving us to forge ahead into uncharted territory – a scholarly endeavor that equally fascinates and bewitches the mind.
As we share our findings, we invite our esteemed colleagues to approach this peculiar correlation with a sense of intellectual curiosity and perhaps the occasional eyebrow raise. Our journey into the Moesha Conundrum promises to be both illuminating and, dare we say, entertaining. After all, who would have thought that a innocuous name and the intricate art of coil winding could be entwined in such a confounding dance of statistical significance? Hold onto your hat, dear reader, as we unravel the delightful and confounding idiosyncrasies of our world.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
Data Collection:
The foundations of our research rested upon the diligent compilation of two distinct datasets - the records of first name occurrences from the US Social Security Administration and the employment statistics of coil winders, tapers, and finishers from the Bureau of Labor Statistics. The process of data collection resembled an elaborate scavenger hunt through the digital domain, with our intrepid team venturing into the depths of the internet to unearth these invaluable nuggets of information. As we sifted through the digital haystack, the US Social Security Administration’s database emerged as the primary source for the prevalence of the first name "Moesha" across the United States. Meanwhile, the Bureau of Labor Statistics provided us with the labor force data specific to Missouri, the state where our whimsical saga unfolds. The years 2003 to 2014, like chosen constellations in the celestial sky, guided our temporal boundaries, offering a span of time within which to observe the ebbs and flows of the Moesha name and the coil winding, tapering, and finishing workforce.
Quantitative Analysis:
Armed with our curated datasets, we ventured into the realm of quantitative analysis, where statistical tools were our trusty companions on this curious expedition. The statistical software served as our cartographer, as we plotted the trajectories of the name Moesha's popularity and the labor force engagement in the art of coil winding, tapering, and finishing. Utilizing techniques such as correlation analyses and regression modeling, we sought to discern any meaningful relationships or whimsical patterns that might emerge from the interplay of these seemingly disparate variables. Our quest for significance led us to the calculation of correlation coefficients, whose numbers bore the weight of our scholarly pursuit, revealing a striking 0.9224933, and a p-value less than 0.01, marking the finding as not merely coincidental but intriguingly captivating.
Experimental Design (Or Lack Thereof):
As we reflect on our research endeavor, we confess – with a degree of scholarly whimsy – that the design of this study bears the marks of a grand cosmic experiment that defies traditional methodological constraints. Our methodology was akin to navigating through a labyrinth designed by a mischievous celestial cartographer, overlooking traditional notions of controlled experiments and randomized trials in favor of embracing the delightful chaos of correlational analysis. In keeping with the spirit of academic inquiry tinged with subtle irreverence, we invite our esteemed colleagues to embark on this methodological romp with an open mind and perhaps a tinge of amusement. For in the realm of the Moesha Conundrum, conventional research methodologies take on a whimsical hue, and the unexpected often becomes the norm.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Moesha and The number of coil winders, tapers, and finishers in Missouri. 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 Bureau of Larbor Statistics .
For the time period 2003 to 2014, you found a correlation 0.9224933, r-squared of 0.8509939, 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 Moesha Conundrum: Exploring the Correlation between Name Popularity and the Industrial Workforce in Missouri"
[[ABSTRACT]]
This study delves into the peculiar relationship between the popularity of the first name "Moesha" and the employment statistics of coil winders, tapers, and finishers in the state of Missouri. By utilizing data from the US Social Security Administration and the Bureau of Labor Statistics spanning the period from 2003 to 2014, we uncovered a striking correlation coefficient of 0.9224933 and a statistically significant p-value of less than 0.01.
Our research delves into the intricate interplay between seemingly unrelated societal phenomena, unearthing a surprisingly robust connection between the ebb and flow of this particular name's prominence and the employment trends within the coil winding, tapering, and finishing sectors of Missouri's workforce. The findings of this study not only shed light on a hitherto overlooked pattern but also serve as a whimsical reminder of the delightful and confounding idiosyncrasies present within our world.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
In the annals of academic inquiry, there exist countless studies examining the relationships between variables, seeking to unravel the mysteries that govern their behavior. From the profound to the peculiar, researchers endeavor to shed light on the intricate web of connections that bind our world. It is within this scholarly tradition that we embark on our exploration of the enigmatic correlation between the prevalence of the first name "Moesha" and the labor force engaged in the noble art of coil winding, tapering, and finishing within the confines of Missouri.
At first glance, one might dismiss this endeavor as a whimsical pursuit, a quirky diversion from more "serious" academic pursuits. However, as any seasoned researcher will attest, the seemingly ludicrous often holds the potential for profound insights. Such is the case with the "Moesha Conundrum," as we affectionately refer to it.
As we delve into the literature, we find ourselves navigating through a sea of statistical analyses and sociological musings, seeking any semblance of precedent for our peculiar investigation. Alas, our quest yields scant pertinent material, leaving us to forge ahead into uncharted territory – a scholarly endeavor that equally fascinates and bewitches the mind.
As we share our findings, we invite our esteemed colleagues to approach this peculiar correlation with a sense of intellectual curiosity and perhaps the occasional eyebrow raise. Our journey into the Moesha Conundrum promises to be both illuminating and, dare we say, entertaining. After all, who would have thought that a innocuous name and the intricate art of coil winding could be entwined in such a confounding dance of statistical significance? Hold onto your hat, dear reader, as we unravel the delightful and confounding idiosyncrasies of our world.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The results of our investigation into the "Moesha Conundrum" have yielded a compelling correlation between the popularity of the first name "Moesha" and the employment figures for coil winders, tapers, and finishers in the state of Missouri. Over the period of 2003 to 2014, our analysis revealed a correlation coefficient of 0.9224933, indicating a strong positive relationship between the two variables. Furthermore, the coefficient of determination (r-squared) of 0.8509939 underscores the robustness of this connection. In addition, the p-value of less than 0.01 provides strong evidence against the null hypothesis and indicates a statistically significant relationship.
This intriguing correlation is visually represented in Fig. 1, a scatterplot that vividly portrays the close association between the prevalence of the name "Moesha" and the employment levels of coil winders, tapers, and finishers in Missouri.
The unexpected and substantial correlation unearthed in our study prompts reflection on the uncanny ways in which seemingly unrelated phenomena can intersect. The whimsical and confounding nature of this connection serves as a poignant reminder of the delightful idiosyncrasies that permeate our world, lending an element of levity and curiosity to the scholarly pursuit of understanding societal patterns.
In conclusion, the correlation between the popularity of the name "Moesha" and the labor force engaged in coil winding, tapering, and finishing activities in Missouri presents a compelling avenue for further exploration and contemplation. The enigmatic convergence of these variables piques scholarly interest and sparks a sense of wonder and amusement at the unexpected encounters within the tapestry of human experience.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Moesha and The number of coil winders, tapers, and finishers in Missouri. 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 Moesha Conundrum: Exploring the Correlation between Name Popularity and the Industrial Workforce in Missouri"
[[ABSTRACT]]
This study delves into the peculiar relationship between the popularity of the first name "Moesha" and the employment statistics of coil winders, tapers, and finishers in the state of Missouri. By utilizing data from the US Social Security Administration and the Bureau of Labor Statistics spanning the period from 2003 to 2014, we uncovered a striking correlation coefficient of 0.9224933 and a statistically significant p-value of less than 0.01.
Our research delves into the intricate interplay between seemingly unrelated societal phenomena, unearthing a surprisingly robust connection between the ebb and flow of this particular name's prominence and the employment trends within the coil winding, tapering, and finishing sectors of Missouri's workforce. The findings of this study not only shed light on a hitherto overlooked pattern but also serve as a whimsical reminder of the delightful and confounding idiosyncrasies present within our world.
[[LITERATURE REVIEW]]
The Moesha Conundrum is not only a subject of academic fascination but also a source of endless amusement. Our review of the literature reveals a dearth of prior studies directly addressing the correlation between the popularity of the first name "Moesha" and the employment statistics of coil winders, tapers, and finishers in Missouri. However, our tireless pursuit has led us through a labyrinth of scholarly works, each shedding light on related themes and tangential insights.
Smith et al. (2010) studied trends in baby name popularity across various states, uncovering intriguing patterns in naming conventions that may indirectly contribute to our understanding of the Moesha phenomenon. Meanwhile, Doe and Jones (2015) delved into the intricate web of regional employment dynamics, weaving a nuanced narrative of labor trends that indirectly resonates with our own investigation.
As we wade deeper into this perplexing conundrum, we must dive into the depths of seemingly unrelated disciplines to grasp the scope of this nuanced correlation. Books such as "Names and Society" by Johnson (2001) and "The Economics of Nomenclature" by Brown (2012) provide insights into the cultural, economic, and social factors that intertwine with the phenomenon of naming, offering a broader context for our peculiar investigation.
Venturing into more whimsical territories, the fiction of Pratchett's "Reel of the Winder" and Rowling's "Tales of Tapering and Finishing" may not provide empirical evidence, but their imaginative narratives evoke a sense of curiosity and wonder that mirrors our own academic inquiries. Who knows, perhaps the secrets of the Moesha Conundrum lie hidden within the pages of fantastical tales.
Adding a contemporary twist to our literature review, social media posts such as @NameNerd's Twitter thread on "Unusual Name Trends and Occupational Choices" and @CoilWhiz's insightful LinkedIn article on "Coiling into the Future: Labor Market Analysis" offer anecdotal perspectives that resonate with our research findings. These digital snippets provide a glimpse into public discourse surrounding the intersection of naming conventions and industrial occupations, sparking a twinkle of recognition amidst the vast expanse of scholarly literature.
In light of our literature review, the correlation – nay, the quirky dance – between the popularity of the first name "Moesha" and the labor force engaged in the noble art of coil winding, tapering, and finishing stands as a conundrum to behold. With this eclectic array of sources, we delve into this intellectual escapade, embracing the whimsical and confounding idiosyncrasies of our world with scholarly fervor and an irrepressible sense of humor.
[[RESULTS]]
The results of our investigation into the "Moesha Conundrum" have yielded a compelling correlation between the popularity of the first name "Moesha" and the employment figures for coil winders, tapers, and finishers in the state of Missouri. Over the period of 2003 to 2014, our analysis revealed a correlation coefficient of 0.9224933, indicating a strong positive relationship between the two variables. Furthermore, the coefficient of determination (r-squared) of 0.8509939 underscores the robustness of this connection. In addition, the p-value of less than 0.01 provides strong evidence against the null hypothesis and indicates a statistically significant relationship.
This intriguing correlation is visually represented in Fig. 1, a scatterplot that vividly portrays the close association between the prevalence of the name "Moesha" and the employment levels of coil winders, tapers, and finishers in Missouri.
The unexpected and substantial correlation unearthed in our study prompts reflection on the uncanny ways in which seemingly unrelated phenomena can intersect. The whimsical and confounding nature of this connection serves as a poignant reminder of the delightful idiosyncrasies that permeate our world, lending an element of levity and curiosity to the scholarly pursuit of understanding societal patterns.
In conclusion, the correlation between the popularity of the name "Moesha" and the labor force engaged in coil winding, tapering, and finishing activities in Missouri presents a compelling avenue for further exploration and contemplation. The enigmatic convergence of these variables piques scholarly interest and sparks a sense of wonder and amusement at the unexpected encounters within the tapestry of human experience.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The findings of this study not only corroborate but also contribute significantly to the body of research exploring the perplexing interplay between naming conventions and labor force dynamics. As we traverse this inimitably quirky landscape of statistical analysis, it becomes abundantly clear that the Moesha Conundrum is more than just a whimsical curiosity – it is a legitimate avenue for scholarly investigation.
The previous academic inquiries informing our literature review, while initially appearing as tangential pursuits, have retroactively revealed their subtle relevance to our own research. Smith et al.'s (2010) exploration of naming trends across states, although not directly addressing the Moesha phenomenon, laid the groundwork for understanding the broader patterns of name popularity and societal impact. Similarly, the regional employment dynamics scrutinized by Doe and Jones (2015) served as an elusive prelude to our discoveries, hinting at the intricate web of influences that shape labor trends, including the unanticipated influence of a name as enchanting as "Moesha."
The delightful whimsy found in Pratchett's "Reel of the Winder" and Rowling's "Tales of Tapering and Finishing," although couched in fantastical narratives, parallel the sense of wonder inherent in our scholarly pursuit. These literary works, with their imaginative tales of winding and finishing, provide a lighthearted entry point into the very real correlation between the name "Moesha" and the professions we investigate. In acknowledging these seemingly fanciful connections, we derive a measure of mirth and introspection from our academic endeavors.
On a more serious note, our study's robust correlation coefficient of 0.9224933 and the strikingly significant p-value of less than 0.01 validate our initial hypothesis and establish a tangible link between the prominence of the name "Moesha" and the employment levels of coil winders, tapers, and finishers in Missouri. The visual representation of this correlation in Fig. 1 mirrors the tangible impact of our findings, underscoring the close association between the ebb and flow of a name's popularity and the labor force engaged in skilled trades.
As we navigate the complex, yet undeniably amusing, landscape of our research, we embrace the multifaceted interplay between societal factors with scholarly ardor. The Moesha Conundrum, with its intricately interwoven threads of nomenclature and occupation, stands as a testament to the intrinsic charm and confounding complexity of the human experience. This study not only sheds light on a hitherto overlooked pattern but also encourages the academic community to approach seemingly unrelated phenomena with a sense of humor and open-minded inquisitiveness.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Moesha and The number of coil winders, tapers, and finishers in Missouri. 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 Moesha Conundrum: Exploring the Correlation between Name Popularity and the Industrial Workforce in Missouri"
[[ABSTRACT]]
This study delves into the peculiar relationship between the popularity of the first name "Moesha" and the employment statistics of coil winders, tapers, and finishers in the state of Missouri. By utilizing data from the US Social Security Administration and the Bureau of Labor Statistics spanning the period from 2003 to 2014, we uncovered a striking correlation coefficient of 0.9224933 and a statistically significant p-value of less than 0.01.
Our research delves into the intricate interplay between seemingly unrelated societal phenomena, unearthing a surprisingly robust connection between the ebb and flow of this particular name's prominence and the employment trends within the coil winding, tapering, and finishing sectors of Missouri's workforce. The findings of this study not only shed light on a hitherto overlooked pattern but also serve as a whimsical reminder of the delightful and confounding idiosyncrasies present within our world.
[[INTRDUCTION]]
In the annals of academic inquiry, there exist countless studies examining the relationships between variables, seeking to unravel the mysteries that govern their behavior. From the profound to the peculiar, researchers endeavor to shed light on the intricate web of connections that bind our world. It is within this scholarly tradition that we embark on our exploration of the enigmatic correlation between the prevalence of the first name "Moesha" and the labor force engaged in the noble art of coil winding, tapering, and finishing within the confines of Missouri.
At first glance, one might dismiss this endeavor as a whimsical pursuit, a quirky diversion from more "serious" academic pursuits. However, as any seasoned researcher will attest, the seemingly ludicrous often holds the potential for profound insights. Such is the case with the "Moesha Conundrum," as we affectionately refer to it.
As we delve into the literature, we find ourselves navigating through a sea of statistical analyses and sociological musings, seeking any semblance of precedent for our peculiar investigation. Alas, our quest yields scant pertinent material, leaving us to forge ahead into uncharted territory – a scholarly endeavor that equally fascinates and bewitches the mind.
As we share our findings, we invite our esteemed colleagues to approach this peculiar correlation with a sense of intellectual curiosity and perhaps the occasional eyebrow raise. Our journey into the Moesha Conundrum promises to be both illuminating and, dare we say, entertaining. After all, who would have thought that a innocuous name and the intricate art of coil winding could be entwined in such a confounding dance of statistical significance? Hold onto your hat, dear reader, as we unravel the delightful and confounding idiosyncrasies of our world.
[[RESULTS]]
The results of our investigation into the "Moesha Conundrum" have yielded a compelling correlation between the popularity of the first name "Moesha" and the employment figures for coil winders, tapers, and finishers in the state of Missouri. Over the period of 2003 to 2014, our analysis revealed a correlation coefficient of 0.9224933, indicating a strong positive relationship between the two variables. Furthermore, the coefficient of determination (r-squared) of 0.8509939 underscores the robustness of this connection. In addition, the p-value of less than 0.01 provides strong evidence against the null hypothesis and indicates a statistically significant relationship.
This intriguing correlation is visually represented in Fig. 1, a scatterplot that vividly portrays the close association between the prevalence of the name "Moesha" and the employment levels of coil winders, tapers, and finishers in Missouri.
The unexpected and substantial correlation unearthed in our study prompts reflection on the uncanny ways in which seemingly unrelated phenomena can intersect. The whimsical and confounding nature of this connection serves as a poignant reminder of the delightful idiosyncrasies that permeate our world, lending an element of levity and curiosity to the scholarly pursuit of understanding societal patterns.
In conclusion, the correlation between the popularity of the name "Moesha" and the labor force engaged in coil winding, tapering, and finishing activities in Missouri presents a compelling avenue for further exploration and contemplation. The enigmatic convergence of these variables piques scholarly interest and sparks a sense of wonder and amusement at the unexpected encounters within the tapestry of human experience.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, our study has illuminated a remarkably robust correlation between the prevalence of the name "Moesha" and the employment levels of coil winders, tapers, and finishers in Missouri. The whimsical and confounding nature of this connection serves as a poignant reminder of the delightful and confounding idiosyncrasies that permeate our world, giving us a delightful puzzle to wind our coils of thoughts around. However, despite the unexpected and substantial correlation unearthed in our study, we are inclined to caution against jumping to humorous or speculative conclusions. While the Moesha Conundrum may bring a chuckle or two, further research would be needed to ascertain any causal relationship or deeper underlying mechanisms at play.
Nevertheless, it is clear that this correlation cannot be brushed off as mere coincidence, and it tickles the academic mind to reflect on the unexpected encounters within the tapestry of human experience. As such, we invite our esteemed colleagues to approach this peculiar correlation with a sense of intellectual curiosity, and perhaps, a touch of whimsy. At the risk of being a bit t(ape)rative, we assert that no further research is needed in this area, and the Moesha Conundrum shall remain a delightful enigma for future scholarly amusement.
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 Moesha Conundrum: Exploring the Correlation between Name Popularity and the Industrial Workforce in Missouri. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Investigative Nameology
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 Moesha Conundrum: Exploring the Correlation between Name Popularity and the Industrial Workforce in Missouri. Respond only with the name of a fictional organization.
ChatGPT:
The Society for Quirky Data Analysis and Research (SQDAR)
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 Moesha Conundrum: Exploring the Correlation between Name Popularity and the Industrial Workforce in Missouri with an abstract of This study delves into the peculiar relationship between the popularity of the first name "Moesha" and the employment statistics of coil winders, tapers, and finishers in the state of Missouri. By utilizing data from the US Social Security Administration and the Bureau of Labor Statistics spanning the period from 2003 to 2014, we uncovered a striking correlation coefficient of 0.9224933 and a statistically significant p-value of less than 0.01.
Our research delves into the intricate interplay between seemingly unrelated societal phenomena, unearthing a surprisingly robust connection between the ebb and flow of this particular name's prominence and the employment trends within the coil winding, tapering, and finishing sectors of Missouri's workforce. The findings of this study not only shed light on a hitherto overlooked pattern but also serve as a whimsical reminder of the delightful and confounding idiosyncrasies present within our world.
ChatGPT:
"Moesha," name popularity, industrial workforce, Missouri, correlation coefficient, US Social Security Administration, Bureau of Labor Statistics, coil winders, tapers, finishers, employment statistics, whimsical patterns, societal phenomena, employment trends, Missouri's workforce
*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 MoeshaDetailed data title: Babies of all sexes born in the US named Moesha
Source: US Social Security Administration
See what else correlates with Popularity of the first name Moesha
The number of coil winders, tapers, and finishers in Missouri
Detailed data title: BLS estimate of coil winders, tapers, and finishers in Missouri
Source: Bureau of Larbor Statistics
See what else correlates with The number of coil winders, tapers, and finishers in Missouri
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 = 0.8509939 (Coefficient of determination)
This means 85.1% of the change in the one variable (i.e., The number of coil winders, tapers, and finishers in Missouri) is predictable based on the change in the other (i.e., Popularity of the first name Moesha) over the 12 years from 2003 through 2014.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.9E-5. 0.0000193197841543525040000000
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 0.92 in 0.0019% of random cases. Said differently, if you correlated 51,760 random variables You don't actually need 51 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 11 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 11 because we have two variables measured over a period of 12 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.
[ 0.74, 0.98 ] 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.
| 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | |
| Popularity of the first name Moesha (Babies born) | 36 | 21 | 12 | 8 | 8 | 6 | 0 | 0 | 0 | 0 | 0 | 5 |
| The number of coil winders, tapers, and finishers in Missouri (Laborers) | 1030 | 670 | 460 | 380 | 540 | 500 | 500 | 280 | 250 | 260 | 320 | 500 |
Why this works
- 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.
- 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. - 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.
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([36,21,12,8,8,6,0,0,0,0,0,5,])
array_2 = np.array([1030,670,460,380,540,500,500,280,250,260,320,500,])
array_1_name = "Popularity of the first name Moesha"
array_2_name = "The number of coil winders, tapers, and finishers in Missouri"
# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)
# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)Reuseable content
You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.
For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."
When spoken, my last name is pronounced "vegan," like I don't eat meat.
Full license details.
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Download images for these variables:
- High resolution line chart
The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.
If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.
Alternatively you can use a tool like Inkscape. - High resolution line chart, optimized for mobile
- Alternative high resolution line chart
- Scatterplot
- Portable line chart (png)
- Portable line chart (png), optimized for mobile
- Line chart for only Popularity of the first name Moesha
- Line chart for only The number of coil winders, tapers, and finishers in Missouri
- AI-generated correlation image
- The spurious research paper: The Moesha Conundrum: Exploring the Correlation between Name Popularity and the Industrial Workforce in Missouri
You're the rating guru we've been waiting for!
Correlation ID: 1768 · Black Variable ID: 3001 · Red Variable ID: 10601
