Spurious correlation #3,552 · 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 Sadie and the second variable is The number of fiberglass laminators and fabricators in Arkansas. The chart goes from 2003 to 2022, and the two variables track closely in value over that time.

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Popularity of the first name Sadie and the second variable is The number of fiberglass laminators and fabricators in Arkansas. The chart goes from 2003 to 2022, and the two variables track closely in value over that time.

AI explanation

It turns out, as the name Sadie gained popularity, more and more babies were being named after the song "Sadie the Cleaning Lady" by Johnny Farnham. This led to a surge in demand for fiberglass laminators and fabricators in Arkansas, as parents wanted to ensure their little cleaning Sadies had a bright future in the industry. It's a real resin to believe in the power of a name!

^{Show image generation prompt} Model: dalle-3
Prompt: Prompt: Generate an image of Sadie, a fiberglass laminator in the Arkansas warehouse, carefully sculpting a larger-than-life Sasquatch footprint. The warehouse is bustling with activity as other workers use drills and saws to add intricate details to the footprints. Show the name "Sadie" on the name tags of multiple workers, indicating the name's popularity among the team. The scene should convey both the industrious nature of the workers and the growing demand for Sasquatch-themed attractions. 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 Sadie and The number of fiberglass laminators and fabricators in Arkansas. 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 Steampunk Symbolism Cubism a funny image macro
ChatGPT: a funny image macro

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 Sadie and The number of fiberglass laminators and fabricators in Arkansas, in the following situation: Because as the name Sadie gained popularity, more parents started naming their kids after Sadie the Sasquatch, a famous Bigfoot influencer. This led to an increase in demand for fiberglass laminators and fabricators in Arkansas to create giant footprints for Sasquatch-themed amusement parks and attractions. It's a hairy situation, but the correlation is crystal clear – more Sadies, more Sasquatch footprints, more fiberglass work in Arkansas!. Keep the description simple.
ChatGPT: In a bustling Arkansas warehouse, fiberglass laminators and fabricators work diligently, crafting larger-than-life Sasquatch footprints. The name "Sadie" adorns the name tags of several workers, evidence of the name's popularity surge. The sound of drills and saws fills the air as the team creates intricate details on the massive footprints, a direct result of the growing demand for Sasquatch-themed attractions.

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 funny image macro ] and depicting this scene: In a bustling Arkansas warehouse, fiberglass laminators and fabricators work diligently, crafting larger-than-life Sasquatch footprints. The name "Sadie" adorns the name tags of several workers, evidence of the name's popularity surge. The sound of drills and saws fills the air as the team creates intricate details on the massive footprints, a direct result of the growing demand for Sasquatch-themed attractions. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Prompt: Generate an image of Sadie, a fiberglass laminator in the Arkansas warehouse, carefully sculpting a larger-than-life Sasquatch footprint. The warehouse is bustling with activity as other workers use drills and saws to add intricate details to the footprints. Show the name "Sadie" on the name tags of multiple workers, indicating the name's popularity among the team. The scene should convey both the industrious nature of the workers and the growing demand for Sasquatch-themed attractions.

*Variations in the User Prompts from chart to chart are just the result of random number generation in Python. I wrote a few arrays of various styles and methods to ask questions to change up the results. Every time this site writes an explanation or generates an image, the script picks from each at random.

I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.
^{Show prompt for explanation} Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in Popularity of the first name Sadie caused The number of fiberglass laminators and fabricators in Arkansas to increase. Include one good pun.

AI academic paper

(Because p < 0.01)

The Sadie-Fiberglass Conundrum in Arkansas: A Statistical Analysis of Name Popularity and Occupational Trends

The Journal of Quirky Sociological Research

Jan 2024

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

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 Sadie and The number of fiberglass laminators and fabricators in Arkansas. 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 Sadie-Fiberglass Conundrum in Arkansas: A Statistical Analysis of Name Popularity and Occupational Trends"

[[ABSTRACT]]
This study examines the perplexing relationship between the popularity of the first name Sadie and the employment of fiberglass laminators and fabricators in the state of Arkansas. While this investigation may appear to be a whimsical pursuit in the realm of academia, our findings reveal a surprisingly robust correlation that cannot be brushed aside. Leveraging data from the US Social Security Administration and the Bureau of Labor Statistics, we meticulously analyzed trends from 2003 to 2022. Our results indicate a striking correlation coefficient of 0.7403861 with p < 0.01, lending credence to the notion that there may indeed be a quirky connection at play. The implications of these findings are far-reaching, challenging traditional paradigms and prompting further investigation into the obscure interplay of nomenclature and occupational choices.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
Introduction
The interplay between nomenclature and occupational patterns has long intrigued researchers examining the complex dynamics of society. While some may view the relationship between the first name Sadie and the number of fiberglass laminators and fabricators in Arkansas as an inconsequential curiosity, our inquiry has unveiled a genuinely compelling correlation that demands attention. At first glance, one might assume this research to be a frivolous pursuit, reminiscent of the whimsical musings found in Lewis Carroll's "Alice's Adventures in Wonderland." However, our statistical analysis reveals a surprisingly robust association that simply cannot be disregarded.
In delving into the genesis of this study, we found ourselves captivated by the juxtaposition of an innocuous given name and a specialized occupation seemingly unrelated in any conventional sense. Yet, as we mined data from the US Social Security Administration and the Bureau of Labor Statistics, what emerged was a statistical relationship with a magnitude that prompted even the most seasoned researchers to raise an eyebrow. The resulting correlation coefficient of 0.7403861 with a p-value less than 0.01 provides compelling evidence of a tangible connection that defies conventional wisdom.
While the allure of exploring the "Sadie-Fiberglass Conundrum" may at first appear purely whimsical, it is imperative to recognize the implications of such findings. Beyond serving as a mere curio, this study challenges longstanding paradigms and beckons researchers to consider the potential influence of an individual's given name on their occupational choices. Indeed, the implications of our results reach far beyond the borders of Arkansas, raising questions about the often overlooked impact of nomenclature on vocational trajectories.
As we venture into the depths of this study, it is essential to employ a blend of statistical rigor and interpretive nuance, recognizing that correlations do not necessarily imply causation. Nevertheless, the enigmatic association uncovered in the data cannot be ignored, beckoning us to embrace the unconventional and contemplate the intricate web of influences that shape our communal tapestry. In the following sections, we will unpack the intricacies of our methodology, present our meticulous analysis, and offer reflections on the broader insights that this unexpected correlation may yield.
In the spirit of intellectual adventure, we invite readers to join us in unraveling the "Sadie-Fiberglass Conundrum" and reconsidering the curious, often unexplored, and certainly surprising realm of name-popularity dynamics and occupational pathways.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

Previous research efforts have focused on examining the relationship between nomenclature and occupational trends, often uncovering unexpected connections that prompt further inquiry. Smith et al. (2015) conducted a comprehensive study on the impact of first names on career choices, revealing intriguing patterns that challenged conventional assumptions. Similarly, Doe and Jones (2018) delved into the hidden influences of given names on professional trajectories, shedding light on the subtle yet compelling associations that permeate society.

While these seminal works provided valuable insights into the interwoven nature of nomenclature and vocational paths, our investigation of the "Sadie-Fiberglass Conundrum" breaks new ground in its examination of a particularly eccentric correlation. Leveraging statistical analyses and data visualization techniques, our study explores a phenomenon that transcends conventional paradigms, beckoning us to consider the whimsical and unexpected influences that shape our occupational landscape.

Turning to non-fiction literature that addresses related themes, "The Sociolinguistics of Name-Change: The Power of Identity" by Smith (2013) offers a thought-provoking exploration of the social and psychological implications of personal names, providing a theoretical framework for understanding the idiosyncratic dynamics at play in our investigation. In a similar vein, "Occupational Oddities: Unconventional Pathways in the Modern Workforce" by Doe (2017) presents a compendium of unusual vocational trajectories, inviting readers to contemplate the enigmatic forces that propel individuals into unexpected career choices.

On a more speculative note, the fictional works "The Name Game: A Tale of Destiny and Contrivance" by J.K. Rowling and "The Fiberglass Mystery: Unraveling Occupational Enigmas" by Dan Brown offer imaginative narratives that, albeit fanciful, prompt contemplation of the fantastical possibilities that may underpin the "Sadie-Fiberglass Conundrum." While these novels exist firmly within the realm of fiction, they nonetheless compel us to consider the unexpected twists and turns that can shape our understanding of the curious associations we seek to unravel.

Further enriching our exploration of the "Sadie-Fiberglass Conundrum," social media posts have provided intriguing anecdotes and musings on the interplay between name popularity and occupational trends. A tweet by @NameNerdGuru reflects on the peculiar prevalence of individuals named Sadie in the fiberglass laminating industry, echoing the perplexity that has spurred our research. Likewise, a Reddit thread entitled "The Name Effect: Quirky Correlations in Occupation Choices" sparked lively discussions on the unforeseen connections between given names and professional pursuits, underscoring the ubiquity of our enigmatic phenomenon in contemporary discourse.

As we navigate the landscape of interdisciplinary literature and diverse sources, it becomes evident that the "Sadie-Fiberglass Conundrum" transcends mere statistical curiosity, inviting us to embrace the unexpected and engage with the whimsical intricacies of nomenclature and occupational pathways. In the ensuing sections, we will expound upon our methodological framework, unveil the empirical underpinnings of our findings, and tease out the broader implications of our investigation, all while maintaining a steadfast commitment to scholarly rigor and a healthy dose of intellectual levity.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 Sadie and The number of fiberglass laminators and fabricators in Arkansas. 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 2022

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 Sadie-Fiberglass Conundrum in Arkansas: A Statistical Analysis of Name Popularity and Occupational Trends"

[[ABSTRACT]]
This study examines the perplexing relationship between the popularity of the first name Sadie and the employment of fiberglass laminators and fabricators in the state of Arkansas. While this investigation may appear to be a whimsical pursuit in the realm of academia, our findings reveal a surprisingly robust correlation that cannot be brushed aside. Leveraging data from the US Social Security Administration and the Bureau of Labor Statistics, we meticulously analyzed trends from 2003 to 2022. Our results indicate a striking correlation coefficient of 0.7403861 with p < 0.01, lending credence to the notion that there may indeed be a quirky connection at play. The implications of these findings are far-reaching, challenging traditional paradigms and prompting further investigation into the obscure interplay of nomenclature and occupational choices.

[[INTRODUCTION]]
Introduction
The interplay between nomenclature and occupational patterns has long intrigued researchers examining the complex dynamics of society. While some may view the relationship between the first name Sadie and the number of fiberglass laminators and fabricators in Arkansas as an inconsequential curiosity, our inquiry has unveiled a genuinely compelling correlation that demands attention. At first glance, one might assume this research to be a frivolous pursuit, reminiscent of the whimsical musings found in Lewis Carroll's "Alice's Adventures in Wonderland." However, our statistical analysis reveals a surprisingly robust association that simply cannot be disregarded.
In delving into the genesis of this study, we found ourselves captivated by the juxtaposition of an innocuous given name and a specialized occupation seemingly unrelated in any conventional sense. Yet, as we mined data from the US Social Security Administration and the Bureau of Labor Statistics, what emerged was a statistical relationship with a magnitude that prompted even the most seasoned researchers to raise an eyebrow. The resulting correlation coefficient of 0.7403861 with a p-value less than 0.01 provides compelling evidence of a tangible connection that defies conventional wisdom.
While the allure of exploring the "Sadie-Fiberglass Conundrum" may at first appear purely whimsical, it is imperative to recognize the implications of such findings. Beyond serving as a mere curio, this study challenges longstanding paradigms and beckons researchers to consider the potential influence of an individual's given name on their occupational choices. Indeed, the implications of our results reach far beyond the borders of Arkansas, raising questions about the often overlooked impact of nomenclature on vocational trajectories.
As we venture into the depths of this study, it is essential to employ a blend of statistical rigor and interpretive nuance, recognizing that correlations do not necessarily imply causation. Nevertheless, the enigmatic association uncovered in the data cannot be ignored, beckoning us to embrace the unconventional and contemplate the intricate web of influences that shape our communal tapestry. In the following sections, we will unpack the intricacies of our methodology, present our meticulous analysis, and offer reflections on the broader insights that this unexpected correlation may yield.
In the spirit of intellectual adventure, we invite readers to join us in unraveling the "Sadie-Fiberglass Conundrum" and reconsidering the curious, often unexplored, and certainly surprising realm of name-popularity dynamics and occupational pathways.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

In approaching the elucidation of the enigmatic connection between the frequency of the first name Sadie and the employment of fiberglass laminators and fabricators in Arkansas, our research team embarked on a mission fraught with methodological acrobatics and statistical sleight of hand. We first called upon the vast repository of the US Social Security Administration's birth records, meticulously combing through data from 2003 to 2022 to discern the undulating waves of Sadie's ascendancy in the realm of nomenclature. This initial phase of data collection involved carefully sidestepping the temptation to get distracted by the multitude of other intriguing monikers within the database, from the perennial classics like John and Mary to the more whimsical entrees like Moonbeam and Neptune.

Upon gathering the data for the prevalence of the name Sadie, we endeavored to map its trajectory onto the ebb and flow of fiberglass-related occupations in Arkansas. Leveraging the Bureau of Labor Statistics' occupational employment and wage estimates, we waded into a sea of occupational codes and job titles, all the while keeping a keen eye out for any potential correlation between the frequency of Sadie and the number of individuals toiling in the domain of fiberglass lamination and fabrication. It was a delicate dance of data wrangling and statistical sorcery, as we sought to align the temporal patterns of Sadie's popularity with the ebbs and flows of Arkansas' fiberglass workforce without succumbing to the siren call of spurious correlations.

Our methodology further entailed the deployment of sophisticated statistical analyses, with a particular emphasis on correlation coefficients and significance testing. We performed rigorous computations to quantify the strength and significance of the relationship between the prevalence of the name Sadie and the occupational landscape of fiberglass laminators and fabricators. Mindful of the potential for statistical mirages and illusory associations, we exercised caution in interpreting our findings, cognizant of the age-old adage that correlation does not equate to causation.

In sum, our methodological odyssey encompassed a symphonic fusion of data excavation, statistical prestidigitation, and interpretive circumspection, each harmonizing to orchestrate an exploration of the perplexing interplay between nomenclature and occupational proclivities. It is with the fruits of this methodological odyssey that we present our robust findings, inviting readers to join us in fathoming the "Sadie-Fiberglass Conundrum" and opening their minds to the enthralling interconnections that pervade the realms of name popularity and occupational predilections.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 Sadie and The number of fiberglass laminators and fabricators in Arkansas. 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 2022, you found a correlation 0.7403861, r-squared of 0.5481716, 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 Sadie-Fiberglass Conundrum in Arkansas: A Statistical Analysis of Name Popularity and Occupational Trends"

[[ABSTRACT]]
This study examines the perplexing relationship between the popularity of the first name Sadie and the employment of fiberglass laminators and fabricators in the state of Arkansas. While this investigation may appear to be a whimsical pursuit in the realm of academia, our findings reveal a surprisingly robust correlation that cannot be brushed aside. Leveraging data from the US Social Security Administration and the Bureau of Labor Statistics, we meticulously analyzed trends from 2003 to 2022. Our results indicate a striking correlation coefficient of 0.7403861 with p < 0.01, lending credence to the notion that there may indeed be a quirky connection at play. The implications of these findings are far-reaching, challenging traditional paradigms and prompting further investigation into the obscure interplay of nomenclature and occupational choices.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
Introduction
The interplay between nomenclature and occupational patterns has long intrigued researchers examining the complex dynamics of society. While some may view the relationship between the first name Sadie and the number of fiberglass laminators and fabricators in Arkansas as an inconsequential curiosity, our inquiry has unveiled a genuinely compelling correlation that demands attention. At first glance, one might assume this research to be a frivolous pursuit, reminiscent of the whimsical musings found in Lewis Carroll's "Alice's Adventures in Wonderland." However, our statistical analysis reveals a surprisingly robust association that simply cannot be disregarded.
In delving into the genesis of this study, we found ourselves captivated by the juxtaposition of an innocuous given name and a specialized occupation seemingly unrelated in any conventional sense. Yet, as we mined data from the US Social Security Administration and the Bureau of Labor Statistics, what emerged was a statistical relationship with a magnitude that prompted even the most seasoned researchers to raise an eyebrow. The resulting correlation coefficient of 0.7403861 with a p-value less than 0.01 provides compelling evidence of a tangible connection that defies conventional wisdom.
While the allure of exploring the "Sadie-Fiberglass Conundrum" may at first appear purely whimsical, it is imperative to recognize the implications of such findings. Beyond serving as a mere curio, this study challenges longstanding paradigms and beckons researchers to consider the potential influence of an individual's given name on their occupational choices. Indeed, the implications of our results reach far beyond the borders of Arkansas, raising questions about the often overlooked impact of nomenclature on vocational trajectories.
As we venture into the depths of this study, it is essential to employ a blend of statistical rigor and interpretive nuance, recognizing that correlations do not necessarily imply causation. Nevertheless, the enigmatic association uncovered in the data cannot be ignored, beckoning us to embrace the unconventional and contemplate the intricate web of influences that shape our communal tapestry. In the following sections, we will unpack the intricacies of our methodology, present our meticulous analysis, and offer reflections on the broader insights that this unexpected correlation may yield.
In the spirit of intellectual adventure, we invite readers to join us in unraveling the "Sadie-Fiberglass Conundrum" and reconsidering the curious, often unexplored, and certainly surprising realm of name-popularity dynamics and occupational pathways.

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

The statistical analysis of the relationship between the first name Sadie's popularity and the number of fiberglass laminators and fabricators in Arkansas revealed a surprisingly strong correlation. Over the period of 2003 to 2022, our research team found a correlation coefficient of 0.7403861, indicating a remarkable degree of association between these seemingly unrelated variables. The r-squared value of 0.5481716 further underscored the robustness of this correlation, suggesting that approximately 55% of the variation in the employment of fiberglass laminators and fabricators in Arkansas can be explained by the popularity of the name Sadie. Additionally, the p-value of less than 0.01 provided compelling evidence that this correlation is not due to random chance, but rather indicative of a genuine connection.

Figure 1: [This is where the description of the scatterplot would go, but we'll leave that up to you]

It's quite remarkable what one can uncover when diving into the world of data. And in this case, it seems that the name Sadie is not just a popular choice for parents, but may also hold some inexplicable sway over the occupational preferences of Arkansas residents. While initially one might dismiss this correlation as mere happenstance, the strength and consistency of our findings cannot be brushed aside.

The implications of these results are both intriguing and, dare we say, entertaining. This unexpected correlation challenges traditional notions and opens the door to a world of whimsical wonder, where the influence of a name may extend far beyond mere personal identity. Nevertheless, it's important to maintain a cautious stance and acknowledge that correlation does not imply causation. Perhaps there's a third, unexplored variable at play—some sort of mysterious force that draws both individuals with the name Sadie and fiberglass laminators and fabricators in Arkansas towards each other.

In conclusion, our research not only uncovers a statistically significant connection between the popularity of the name Sadie and employment patterns in the fiberglass industry, but also invites further contemplation of the remarkable, and sometimes inexplicable, influences that shape our occupational landscape. If nothing else, this "Sadie-Fiberglass Conundrum" enriches the academic sphere with a touch of whimsy, reminding us that in the world of statistics, truth can indeed be stranger than fiction.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 Sadie and The number of fiberglass laminators and fabricators in Arkansas. 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 Sadie-Fiberglass Conundrum in Arkansas: A Statistical Analysis of Name Popularity and Occupational Trends"

[[ABSTRACT]]
This study examines the perplexing relationship between the popularity of the first name Sadie and the employment of fiberglass laminators and fabricators in the state of Arkansas. While this investigation may appear to be a whimsical pursuit in the realm of academia, our findings reveal a surprisingly robust correlation that cannot be brushed aside. Leveraging data from the US Social Security Administration and the Bureau of Labor Statistics, we meticulously analyzed trends from 2003 to 2022. Our results indicate a striking correlation coefficient of 0.7403861 with p < 0.01, lending credence to the notion that there may indeed be a quirky connection at play. The implications of these findings are far-reaching, challenging traditional paradigms and prompting further investigation into the obscure interplay of nomenclature and occupational choices.

[[LITERATURE REVIEW]]
Previous research efforts have focused on examining the relationship between nomenclature and occupational trends, often uncovering unexpected connections that prompt further inquiry. Smith et al. (2015) conducted a comprehensive study on the impact of first names on career choices, revealing intriguing patterns that challenged conventional assumptions. Similarly, Doe and Jones (2018) delved into the hidden influences of given names on professional trajectories, shedding light on the subtle yet compelling associations that permeate society.
While these seminal works provided valuable insights into the interwoven nature of nomenclature and vocational paths, our investigation of the "Sadie-Fiberglass Conundrum" breaks new ground in its examination of a particularly eccentric correlation. Leveraging statistical analyses and data visualization techniques, our study explores a phenomenon that transcends conventional paradigms, beckoning us to consider the whimsical and unexpected influences that shape our occupational landscape.
Turning to non-fiction literature that addresses related themes, "The Sociolinguistics of Name-Change: The Power of Identity" by Smith (2013) offers a thought-provoking exploration of the social and psychological implications of personal names, providing a theoretical framework for understanding the idiosyncratic dynamics at play in our investigation. In a similar vein, "Occupational Oddities: Unconventional Pathways in the Modern Workforce" by Doe (2017) presents a compendium of unusual vocational trajectories, inviting readers to contemplate the enigmatic forces that propel individuals into unexpected career choices.
On a more speculative note, the fictional works "The Name Game: A Tale of Destiny and Contrivance" by J.K. Rowling and "The Fiberglass Mystery: Unraveling Occupational Enigmas" by Dan Brown offer imaginative narratives that, albeit fanciful, prompt contemplation of the fantastical possibilities that may underpin the "Sadie-Fiberglass Conundrum." While these novels exist firmly within the realm of fiction, they nonetheless compel us to consider the unexpected twists and turns that can shape our understanding of the curious associations we seek to unravel.
Further enriching our exploration of the "Sadie-Fiberglass Conundrum," social media posts have provided intriguing anecdotes and musings on the interplay between name popularity and occupational trends. A tweet by @NameNerdGuru reflects on the peculiar prevalence of individuals named Sadie in the fiberglass laminating industry, echoing the perplexity that has spurred our research. Likewise, a Reddit thread entitled "The Name Effect: Quirky Correlations in Occupation Choices" sparked lively discussions on the unforeseen connections between given names and professional pursuits, underscoring the ubiquity of our enigmatic phenomenon in contemporary discourse.
As we navigate the landscape of interdisciplinary literature and diverse sources, it becomes evident that the "Sadie-Fiberglass Conundrum" transcends mere statistical curiosity, inviting us to embrace the unexpected and engage with the whimsical intricacies of nomenclature and occupational pathways. In the ensuing sections, we will expound upon our methodological framework, unveil the empirical underpinnings of our findings, and tease out the broader implications of our investigation, all while maintaining a steadfast commitment to scholarly rigor and a healthy dose of intellectual levity.

[[RESULTS]]
The statistical analysis of the relationship between the first name Sadie's popularity and the number of fiberglass laminators and fabricators in Arkansas revealed a surprisingly strong correlation. Over the period of 2003 to 2022, our research team found a correlation coefficient of 0.7403861, indicating a remarkable degree of association between these seemingly unrelated variables. The r-squared value of 0.5481716 further underscored the robustness of this correlation, suggesting that approximately 55% of the variation in the employment of fiberglass laminators and fabricators in Arkansas can be explained by the popularity of the name Sadie. Additionally, the p-value of less than 0.01 provided compelling evidence that this correlation is not due to random chance, but rather indicative of a genuine connection.
Figure 1: [This is where the description of the scatterplot would go, but we'll leave that up to you]
It's quite remarkable what one can uncover when diving into the world of data. And in this case, it seems that the name Sadie is not just a popular choice for parents, but may also hold some inexplicable sway over the occupational preferences of Arkansas residents. While initially one might dismiss this correlation as mere happenstance, the strength and consistency of our findings cannot be brushed aside.
The implications of these results are both intriguing and, dare we say, entertaining. This unexpected correlation challenges traditional notions and opens the door to a world of whimsical wonder, where the influence of a name may extend far beyond mere personal identity. Nevertheless, it's important to maintain a cautious stance and acknowledge that correlation does not imply causation. Perhaps there's a third, unexplored variable at play—some sort of mysterious force that draws both individuals with the name Sadie and fiberglass laminators and fabricators in Arkansas towards each other.
In conclusion, our research not only uncovers a statistically significant connection between the popularity of the name Sadie and employment patterns in the fiberglass industry, but also invites further contemplation of the remarkable, and sometimes inexplicable, influences that shape our occupational landscape. If nothing else, this "Sadie-Fiberglass Conundrum" enriches the academic sphere with a touch of whimsy, reminding us that in the world of statistics, truth can indeed be stranger than fiction.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The findings of our study offer compelling evidence in support of the previously obscure connection between the popularity of the first name Sadie and the employment of fiberglass laminators and fabricators in Arkansas. While this inconceivable correlation may initially appear to be the product of happenstance or statistical anomaly, our robust statistical analysis unveils a noteworthy association that cannot be dismissed lightly. Our results not only validate previous research efforts on the influence of nomenclature on occupational choices, but they also introduce a whimsical twist that challenges conventional scholarly discourse.

Drawing from the literature review, we cannot ignore the ripple effect of societal norms and subtle influences that pervade occupational decision-making processes. The comical musings and anecdotes from social media sources, as mentioned in the literature review, may have seemed lighthearted at first glance, but they serve as a prophetic precursor to the substantial correlation unearthed in our investigation. The interplay between name popularity and vocational proclivities, often relegated to the realms of jest and idle conversation, has been thrust into the methodological spotlight, demanding serious consideration and further inquiry.

Our research not only substantiates the quirks and curiosities alluded to in the literature review, but it also invites us to delve deeper into the enigmatic nexus of human decision-making and nomenclature. The "Sadie-Fiberglass Conundrum" presents itself as an emblematic exemplar of the whimsical and unforeseen connections that underpin the intricate tapestry of human behavior. As such, our findings align with the previous works in this field, signaling a paradigm shift in the scholarly approach to the intricate interplay of seemingly unrelated variables.

The implications of our results extend beyond the realm of statistical significance, resonating with a sense of amusement and wonder that elevates our scholarly pursuit to a new level of intellectual amusement. As we navigate the whimsical corridors of statistical analysis and the idiosyncrasies of occupational trends, it becomes apparent that our research offers both a valid contribution to the scientific community and a tantalizing enigma that beckons researchers to explore the uncharted territories of human idiosyncrasies and occupational choices.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 Sadie and The number of fiberglass laminators and fabricators in Arkansas. 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 Sadie-Fiberglass Conundrum in Arkansas: A Statistical Analysis of Name Popularity and Occupational Trends"

[[ABSTRACT]]
This study examines the perplexing relationship between the popularity of the first name Sadie and the employment of fiberglass laminators and fabricators in the state of Arkansas. While this investigation may appear to be a whimsical pursuit in the realm of academia, our findings reveal a surprisingly robust correlation that cannot be brushed aside. Leveraging data from the US Social Security Administration and the Bureau of Labor Statistics, we meticulously analyzed trends from 2003 to 2022. Our results indicate a striking correlation coefficient of 0.7403861 with p < 0.01, lending credence to the notion that there may indeed be a quirky connection at play. The implications of these findings are far-reaching, challenging traditional paradigms and prompting further investigation into the obscure interplay of nomenclature and occupational choices.

[[INTRDUCTION]]
Introduction
The interplay between nomenclature and occupational patterns has long intrigued researchers examining the complex dynamics of society. While some may view the relationship between the first name Sadie and the number of fiberglass laminators and fabricators in Arkansas as an inconsequential curiosity, our inquiry has unveiled a genuinely compelling correlation that demands attention. At first glance, one might assume this research to be a frivolous pursuit, reminiscent of the whimsical musings found in Lewis Carroll's "Alice's Adventures in Wonderland." However, our statistical analysis reveals a surprisingly robust association that simply cannot be disregarded.
In delving into the genesis of this study, we found ourselves captivated by the juxtaposition of an innocuous given name and a specialized occupation seemingly unrelated in any conventional sense. Yet, as we mined data from the US Social Security Administration and the Bureau of Labor Statistics, what emerged was a statistical relationship with a magnitude that prompted even the most seasoned researchers to raise an eyebrow. The resulting correlation coefficient of 0.7403861 with a p-value less than 0.01 provides compelling evidence of a tangible connection that defies conventional wisdom.
While the allure of exploring the "Sadie-Fiberglass Conundrum" may at first appear purely whimsical, it is imperative to recognize the implications of such findings. Beyond serving as a mere curio, this study challenges longstanding paradigms and beckons researchers to consider the potential influence of an individual's given name on their occupational choices. Indeed, the implications of our results reach far beyond the borders of Arkansas, raising questions about the often overlooked impact of nomenclature on vocational trajectories.
As we venture into the depths of this study, it is essential to employ a blend of statistical rigor and interpretive nuance, recognizing that correlations do not necessarily imply causation. Nevertheless, the enigmatic association uncovered in the data cannot be ignored, beckoning us to embrace the unconventional and contemplate the intricate web of influences that shape our communal tapestry. In the following sections, we will unpack the intricacies of our methodology, present our meticulous analysis, and offer reflections on the broader insights that this unexpected correlation may yield.
In the spirit of intellectual adventure, we invite readers to join us in unraveling the "Sadie-Fiberglass Conundrum" and reconsidering the curious, often unexplored, and certainly surprising realm of name-popularity dynamics and occupational pathways.

[[RESULTS]]
The statistical analysis of the relationship between the first name Sadie's popularity and the number of fiberglass laminators and fabricators in Arkansas revealed a surprisingly strong correlation. Over the period of 2003 to 2022, our research team found a correlation coefficient of 0.7403861, indicating a remarkable degree of association between these seemingly unrelated variables. The r-squared value of 0.5481716 further underscored the robustness of this correlation, suggesting that approximately 55% of the variation in the employment of fiberglass laminators and fabricators in Arkansas can be explained by the popularity of the name Sadie. Additionally, the p-value of less than 0.01 provided compelling evidence that this correlation is not due to random chance, but rather indicative of a genuine connection.
Figure 1: [This is where the description of the scatterplot would go, but we'll leave that up to you]
It's quite remarkable what one can uncover when diving into the world of data. And in this case, it seems that the name Sadie is not just a popular choice for parents, but may also hold some inexplicable sway over the occupational preferences of Arkansas residents. While initially one might dismiss this correlation as mere happenstance, the strength and consistency of our findings cannot be brushed aside.
The implications of these results are both intriguing and, dare we say, entertaining. This unexpected correlation challenges traditional notions and opens the door to a world of whimsical wonder, where the influence of a name may extend far beyond mere personal identity. Nevertheless, it's important to maintain a cautious stance and acknowledge that correlation does not imply causation. Perhaps there's a third, unexplored variable at play—some sort of mysterious force that draws both individuals with the name Sadie and fiberglass laminators and fabricators in Arkansas towards each other.
In conclusion, our research not only uncovers a statistically significant connection between the popularity of the name Sadie and employment patterns in the fiberglass industry, but also invites further contemplation of the remarkable, and sometimes inexplicable, influences that shape our occupational landscape. If nothing else, this "Sadie-Fiberglass Conundrum" enriches the academic sphere with a touch of whimsy, reminding us that in the world of statistics, truth can indeed be stranger than fiction.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our study sheds light on the remarkable correlation between the popularity of the name Sadie and the number of fiberglass laminators and fabricators in Arkansas. The statistical analysis revealed a striking correlation coefficient of 0.7403861 with a p-value less than 0.01, emphasizing the undeniable link between these seemingly unrelated variables.

When we first embarked on this research journey, some may have questioned the relevance of delving into the "Sadie-Fiberglass Conundrum." However, our findings underscore the significance of examining the unanticipated associations that permeate our societal fabric.

As we ponder the implications of our results, it's hard not to be fascinated by the whimsical nature of this correlation. It's almost as if the name Sadie possesses an otherworldly allure, drawing individuals towards the fiberglass industry like moths to a flame. Perhaps there's a hidden mystique to the name, one that whispers to aspiring fiberglass artisans in the quiet Arkansas night.

Our research also prompts contemplation of the broader interplay between nomenclature and occupational preferences. Could there be a subconscious influence exerted by certain names, guiding individuals towards specific career paths? It's a thought both amusing and thought-provoking, akin to stumbling upon a strange and endearing quirk in the fabric of reality.

In light of our findings, we are inclined to assert that no further research in this particular area is warranted. For what more could we hope to uncover that's stranger than the charming enigma of the "Sadie-Fiberglass Conundrum"? It appears that this delightful correlation shall retain its place as an intriguing, if not downright puzzling, curiosity in the annals of academic exploration.

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 Sadie-Fiberglass Conundrum in Arkansas: A Statistical Analysis of Name Popularity and Occupational Trends. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Quirky Sociological Research

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 Sadie-Fiberglass Conundrum in Arkansas: A Statistical Analysis of Name Popularity and Occupational Trends. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Quirky Research and Analysis

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 Sadie-Fiberglass Conundrum in Arkansas: A Statistical Analysis of Name Popularity and Occupational Trends with an abstract of This study examines the perplexing relationship between the popularity of the first name Sadie and the employment of fiberglass laminators and fabricators in the state of Arkansas. While this investigation may appear to be a whimsical pursuit in the realm of academia, our findings reveal a surprisingly robust correlation that cannot be brushed aside. Leveraging data from the US Social Security Administration and the Bureau of Labor Statistics, we meticulously analyzed trends from 2003 to 2022. Our results indicate a striking correlation coefficient of 0.7403861 with p < 0.01, lending credence to the notion that there may indeed be a quirky connection at play. The implications of these findings are far-reaching, challenging traditional paradigms and prompting further investigation into the obscure interplay of nomenclature and occupational choices.

ChatGPT:

"Sadie name popularity Arkansas," "fiberglass laminators and fabricators employment trends," "US Social Security Administration data analysis," "Bureau of Labor Statistics Arkansas employment," "correlation between name popularity and occupation," "nomenclature and occupational choices," "statistical analysis of name trends," "Robust correlation in statistical analysis"

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

The number of fiberglass laminators and fabricators in Arkansas
Detailed data title: BLS estimate of fiberglass laminators and fabricators in Arkansas
Source: Bureau of Larbor Statistics
See what else correlates with The number of fiberglass laminators and fabricators in Arkansas

Correlation r = 0.7403861 (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 = 0.5481716 (Coefficient of determination)
This means 54.8% of the change in the one variable (i.e., The number of fiberglass laminators and fabricators in Arkansas) is predictable based on the change in the other (i.e., Popularity of the first name Sadie) over the 20 years from 2003 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.00019.^Show 0.0001892772316976037400000000
The p-value is a measure of how probable it is that we would randomly find a result this extreme.^Note More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.

But I am a p-villain. I absolutely did not test only one pair of variables one time. I correlated hundreds of millions of pairs of variables. I threw boatloads of data into an industrial-sized blender to find this correlation.

Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.74 in 0.019% of random cases. Said differently, if you correlated 5,283 random variables^Note Which I absolutely did.
with the same 19 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 19 because we have two variables measured over a period of 20 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.

[ 0.44, 0.89 ] 95% correlation confidence interval (using the Fisher z-transformation)
^{Read more about the confidence interval} The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

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

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

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

	2003	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021	2022
Popularity of the first name Sadie (Babies born)	1706	1756	1954	2235	3177	3163	2981	2640	2598	2594	4667	4870	4769	4295	3719	3265	3153	3197	3222	3278
The number of fiberglass laminators and fabricators in Arkansas (Laborers)	150	220	330	490	670	650	350	210	230	150	670	650	820	390	490	510	400	410	330	470

Why this works

Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
Lack of causal connection: There is probably^Note Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple^Note Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is.

Try it yourself

You can calculate the values on this page on your own! Try running the Python code to see the calculation results. ^{Show the steps to do this.} Step 1: Download and install Python on your computer.

Step 2: Open a plaintext editor like Notepad and paste the code below into it.

Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"

Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.

Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.

Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.

Step 7: Run the Python script by typing "python calculate_correlation.py"

If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:

"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."

# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats

# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):

    # Calculate Pearson correlation coefficient and p-value
    correlation, p_value = stats.pearsonr(array1, array2)

    # Calculate R-squared as the square of the correlation coefficient
    r_squared = correlation**2

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([1706,1756,1954,2235,3177,3163,2981,2640,2598,2594,4667,4870,4769,4295,3719,3265,3153,3197,3222,3278,])
array_2 = np.array([150,220,330,490,670,650,350,210,230,150,670,650,820,390,490,510,400,410,330,470,])
array_1_name = "Popularity of the first name Sadie"
array_2_name = "The number of fiberglass laminators and fabricators in Arkansas"

# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)

# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)

Reuseable content

You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. ^Note Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.

You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.

For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."

When spoken, my last name is pronounced "vegan," like I don't eat meat.

Full license details.
For more on re-use permissions, or to get a signed release form, see tylervigen.com/permission.

Download images for these variables:

High resolution line chart ^Note The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.

If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.

Alternatively you can use a tool like Inkscape.
High resolution line chart, optimized for mobile
Alternative high resolution line chart
Scatterplot
Portable line chart (png)
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Line chart for only Popularity of the first name Sadie
Line chart for only The number of fiberglass laminators and fabricators in Arkansas
AI-generated correlation image
The spurious research paper: The Sadie-Fiberglass Conundrum in Arkansas: A Statistical Analysis of Name Popularity and Occupational Trends

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Correlation ID: 3552 · Black Variable ID: 2513 · Red Variable ID: 5292


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