Spurious correlation #3,241 · 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 Ashanti and the second variable is The number of gas compressor and gas pumping station operators in Texas. 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 Ashanti and the second variable is The number of gas compressor and gas pumping station operators in Texas. The chart goes from 2003 to 2022, and the two variables track closely in value over that time.

Download png, svg

AI explanation

Due to fewer babies being named Ashanti, there was a shortage of potential future employees for gas compressor and pumping stations in Texas. The correlation highlights the little-known but crucial role that individuals with the name Ashanti were destined to play in the state's gas industry. It seems like Texas might have to start an "Ashanti" recruitment campaign to keep the gas flowing!

^{Show image generation prompt} Model: dalle-3
Prompt: Generate an image of a steampunk bar graph displaying the popularity of the first name Ashanti over time, depicted in descending bars of various metallic hues with gears and cogs as embellishments. Beside the graph, a vintage-style map of Texas is arranged to show the reduction in the number of gas compressor and gas pumping station operators, with diminutive brass figurines transitioning from numerous to fewer, mirroring the decline in both the name's prominence and the operators in a visually captivating manner. 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 Ashanti and The number of gas compressor and gas pumping station operators in Texas. Given these, which of the following image style descriptions seems most appropriate? Pick the one that seems to be related to one of the variables at hand. Please respond with only one of the following potential descriptions: 3D Pixar Style Steampunk Low poly Parallax art Celtic art
ChatGPT: Steampunk

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 Ashanti and The number of gas compressor and gas pumping station operators in Texas, in the following situation: As the popularity of the first name Ashanti declined, so did the number of gas compressor and gas pumping station operators in Texas, because apparently, the universe decided to connect the two in a cosmic mix-up of name associations, leading people with that name to pursue other careers.. Keep the description simple.
ChatGPT: In a colorful bar graph, the popularity of the first name Ashanti dwindles from a peak to a low, represented by descending bars. Next to the graph, a map of Texas depicts a decrease in the number of gas compressor and gas pumping station operators with small figures transitioning from present to less gradually, reflecting the coincidental decline in both the name's popularity and the number of operators.

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: [ Steampunk ] and depicting this scene: In a colorful bar graph, the popularity of the first name Ashanti dwindles from a peak to a low, represented by descending bars. Next to the graph, a map of Texas depicts a decrease in the number of gas compressor and gas pumping station operators with small figures transitioning from present to less gradually, reflecting the coincidental decline in both the name's popularity and the number of operators. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a steampunk bar graph displaying the popularity of the first name Ashanti over time, depicted in descending bars of various metallic hues with gears and cogs as embellishments. Beside the graph, a vintage-style map of Texas is arranged to show the reduction in the number of gas compressor and gas pumping station operators, with diminutive brass figurines transitioning from numerous to fewer, mirroring the decline in both the name's prominence and the operators in a visually captivating manner.

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

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

AI academic paper

(Because p < 0.01)

Gasping for Air: The Ashanti Name Phenomenon and its Unlikely Correlation with Texas Gas Compressor and Pumping Station Operators

The Journal of Lexical Linguistics and Industrial Sociology

Jan 2024

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

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

Model: gpt-3.5-turbo-1106
System prompt: You are a 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 Ashanti and The number of gas compressor and gas pumping station operators in Texas. 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 name some cartoons and childrens' shows that you watched that are related to the topic.

Here is the title and abstract of the paper:
[[TITLE]]
"Gasping for Air: The Ashanti Name Phenomenon and its Unlikely Correlation with Texas Gas Compressor and Pumping Station Operators"

[[ABSTRACT]]
The study investigates the unexpected relationship between the popularity of the first name Ashanti and the number of gas compressor and pumping station operators in the state of Texas. Employing data from the US Social Security Administration and the Bureau of Labor Statistics spanning from 2003 to 2022, our research team delved deep into this peculiar correlation. Our findings revealed a striking correlation coefficient of 0.9244788, with statistical significance (p < 0.01), leaving us gasping for air with the unanticipated discovery.

While the link between a name and an occupation may seem beyond the realm of reason, our rigorous analysis illuminates a curiously compelling pattern. As we untangle the web of factors at play, we probe the possibility of a subtle yet significant influence that the prevalence of the name Ashanti may exert on career choices in the Texas gas industry.

This paper sheds light on an unforeseen connection that may prompt further inquiry into the intricacies of nomenclature and occupational preferences. As we marvel at the enigmatic dance between names and professions, it becomes evident that the allure of the Ashanti name extends beyond musical fame to fascinating realms of occupational influence.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The human fascination with names and their impact on our lives is a topic that has intrigued scholars and laypeople alike for centuries. From Shakespeare’s ponderings on the significance of a name to modern-day studies on implicit biases associated with names, the power of nomenclature permeates various aspects of our existence. In the realm of occupational preferences, numerous studies have explored factors influencing career choices, ranging from education and upbringing to socioeconomic status and personal interests. However, the notion that the popularity of a given name could influence the career paths of individuals within a specific industry is an enigma that has eluded systematic inquiry.
In this paper, we endeavor to unravel the peculiar intersection of the popularity of the first name Ashanti and the prevalence of gas compressor and pumping station operators in the expansive state of Texas. The seemingly disparate entities of nomenclature and occupational vocation intersect in an unexpected manner, prompting our investigative foray into this uncharted territory. As we delve into the labyrinthine world of statistical analysis and sociolinguistic implications, we are mindful of the captivating blend of peculiarity and profundity inherent in our pursuit.
The serene and melodic cadence of the name Ashanti evokes a sense of charm and allure, closely associated with the eponymous West African ethnic group. Meanwhile, the bustling realm of gas compression and pumping stations conjures images of mechanized precision and industrial dynamism. The juxtaposition of these disparate realms prompts us to consider the interplay of seemingly incongruent elements, urging us to discern patterns where randomness ostensibly reigns.
Our study is underpinned by a robust dataset culled from the archives of the US Social Security Administration and the Bureau of Labor Statistics, spanning the years 2003 to 2022. Armed with the arsenal of empirical data and statistical methodologies, we embark on a quest to decipher the cryptic rapport between the ethereal domain of names and the pragmatic landscape of occupational pursuits. Our pursuit is guided by the knowledge that correlations, like onions, often have layers, and the fragrance of insightful discovery awaits those willing to peel away the superficial veneer.
As we immerse ourselves in the unfolding narrative of numerical abstraction and societal implications, we remain cognizant of the whimsical nature of human behavior and the capricious dance of statistical significance. Our ultimate aim is to not merely uncover an intriguing correlation but to ignite a spark of curiosity that illuminates the esoteric interconnections woven into the fabric of human existence.
Join us as we embark on this perplexing yet captivating odyssey, where the unlikeliest of bedfellows—the name Ashanti and the realm of gas compressor and pumping station operators—converge in a tale that transcends the mundanity of scientific inquiry and ventures into the realm of whimsy and wonder.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
**LITERATURE REVIEW**

The study of the connection between the popularity of the first name Ashanti and the number of gas compressor and pumping station operators in the state of Texas is a venture into uncharted territory, akin to the exploration of a whimsical yet profound dimension where the enigmatic dance of nomenclature and occupational predilections unfolds. As we examine the interconnectedness of this unlikely pair, we meander through the annals of literature, traversing scholarly inquiries, offbeat musings, and serendipitous revelations that shed light on this captivating confluence.

Smith et al. (2015) delved into the socio-sociolinguistic intricacies of names and their implications, unveiling the nuanced intertwining of nomenclature and societal perceptions. In a similar vein, Doe (2018) scrutinized the psychological underpinnings of name preferences and their latent influence on individual choices, laying the groundwork for our investigation into the intersection of the Ashanti name phenomenon and the gas industry in Texas.

Turning to the realm of popular non-fiction literature, "Freakonomics" by Steven Levitt and Stephen Dubner offers a tantalizing exploration of unconventional correlations, akin to our endeavor to unravel the veiled connection between a name and an occupation. Furthermore, "Blink" by Malcolm Gladwell delves into the enigmatic realm of snap judgments and implicit biases, inviting us to contemplate the subconscious allure that certain names may exude in the context of career preferences.

Venturing into the realm of fiction literature, the enigmatic allure of names and their latent power is the thematic cornerstone of "The Name of the Wind" by Patrick Rothfuss and "The Shadow of the Wind" by Carlos Ruiz Zafón. These literary odysseys, albeit far removed from the empirical pursuit of our study, provide a whimsical backdrop to contemplate the transcendental resonance of names in shaping destiny and occupational proclivities.

In a daring departure from conventional scholarly sources, we draw inspiration from childhood cartoons and shows that, though seemingly disparate from our academic pursuit, offer subtle insights into the whimsical interplay of names and fate. "Scooby-Doo", with its endearing cast of characters each bearing distinctive names, prompts a lighthearted reflection on the whimsy of nomenclature and its potential influence on personal inclinations. Similarly, the animated series "The Magic School Bus" serves as a whimsical tapestry wherein the interplay of names and occupations converges in a fantastical yet thought-provoking setting.

As we embark on this intellectual escapade, we remain cognizant of the preposterousness that underpins our quest, mindful that the pursuit of knowledge need not always reside in the austere realm of academia but can, at times, be imbued with a whimsy that transcends the rigidity of scholarly convention. Join us as we unravel the mystique of the Ashanti name phenomenon and its uncanny correlation with the realm of gas compressor and pumping station operators in Texas, journeying through literary landscapes that illuminate the whimsical yet profound resonance of nomenclature and occupational preferences.

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 Ashanti and The number of gas compressor and gas pumping station operators in Texas. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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]]
"Gasping for Air: The Ashanti Name Phenomenon and its Unlikely Correlation with Texas Gas Compressor and Pumping Station Operators"

[[ABSTRACT]]
The study investigates the unexpected relationship between the popularity of the first name Ashanti and the number of gas compressor and pumping station operators in the state of Texas. Employing data from the US Social Security Administration and the Bureau of Labor Statistics spanning from 2003 to 2022, our research team delved deep into this peculiar correlation. Our findings revealed a striking correlation coefficient of 0.9244788, with statistical significance (p < 0.01), leaving us gasping for air with the unanticipated discovery.

While the link between a name and an occupation may seem beyond the realm of reason, our rigorous analysis illuminates a curiously compelling pattern. As we untangle the web of factors at play, we probe the possibility of a subtle yet significant influence that the prevalence of the name Ashanti may exert on career choices in the Texas gas industry.

This paper sheds light on an unforeseen connection that may prompt further inquiry into the intricacies of nomenclature and occupational preferences. As we marvel at the enigmatic dance between names and professions, it becomes evident that the allure of the Ashanti name extends beyond musical fame to fascinating realms of occupational influence.

[[INTRODUCTION]]
The human fascination with names and their impact on our lives is a topic that has intrigued scholars and laypeople alike for centuries. From Shakespeare’s ponderings on the significance of a name to modern-day studies on implicit biases associated with names, the power of nomenclature permeates various aspects of our existence. In the realm of occupational preferences, numerous studies have explored factors influencing career choices, ranging from education and upbringing to socioeconomic status and personal interests. However, the notion that the popularity of a given name could influence the career paths of individuals within a specific industry is an enigma that has eluded systematic inquiry.
In this paper, we endeavor to unravel the peculiar intersection of the popularity of the first name Ashanti and the prevalence of gas compressor and pumping station operators in the expansive state of Texas. The seemingly disparate entities of nomenclature and occupational vocation intersect in an unexpected manner, prompting our investigative foray into this uncharted territory. As we delve into the labyrinthine world of statistical analysis and sociolinguistic implications, we are mindful of the captivating blend of peculiarity and profundity inherent in our pursuit.
The serene and melodic cadence of the name Ashanti evokes a sense of charm and allure, closely associated with the eponymous West African ethnic group. Meanwhile, the bustling realm of gas compression and pumping stations conjures images of mechanized precision and industrial dynamism. The juxtaposition of these disparate realms prompts us to consider the interplay of seemingly incongruent elements, urging us to discern patterns where randomness ostensibly reigns.
Our study is underpinned by a robust dataset culled from the archives of the US Social Security Administration and the Bureau of Labor Statistics, spanning the years 2003 to 2022. Armed with the arsenal of empirical data and statistical methodologies, we embark on a quest to decipher the cryptic rapport between the ethereal domain of names and the pragmatic landscape of occupational pursuits. Our pursuit is guided by the knowledge that correlations, like onions, often have layers, and the fragrance of insightful discovery awaits those willing to peel away the superficial veneer.
As we immerse ourselves in the unfolding narrative of numerical abstraction and societal implications, we remain cognizant of the whimsical nature of human behavior and the capricious dance of statistical significance. Our ultimate aim is to not merely uncover an intriguing correlation but to ignite a spark of curiosity that illuminates the esoteric interconnections woven into the fabric of human existence.
Join us as we embark on this perplexing yet captivating odyssey, where the unlikeliest of bedfellows—the name Ashanti and the realm of gas compressor and pumping station operators—converge in a tale that transcends the mundanity of scientific inquiry and ventures into the realm of whimsy and wonder.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

**[[METHODOLOGY]]**

**Dataset Collection:**

Our research team embarked on a digital quest through the labyrinthine archives of the US Social Security Administration and the Bureau of Labor Statistics, akin to intrepid explorers navigating the tangled jungle of data. We meticulously amassed information spanning from 2003 to 2022, capturing the temporal flux of nomenclatural preferences and occupational machinations. Our expedition through the vast virtual expanse of historical records was akin to a treasure hunt, unearthing nuggets of statistical gold amidst the digital debris.

**Data Cleansing and Transformation:**

Upon procuring the rich tapestry of data, akin to modern-day alchemists, we embarked on the arcane ritual of data cleansing and transformation. Like skilled artisans polishing rough diamonds, we meticulously sifted through the raw data, purging anomalies and inconsistencies with the precision of a discerning curator. Ergo, our dataset emerged as a polished gem of statistical purity, bereft of blemishes and data aberrations.

**Statistical Analysis:**

Armed with the chiseled dataset, akin to dauntless sculptors confronting a block of marble, we unleashed the formidable arsenal of statistical methodologies to carve out the essence of the correlation between the popularity of the name Ashanti and the abundance of gas compressor and pumping station operators in the Texan landscape. The odyssey of statistical analysis unfolded like a complex equation, with each variable and coefficient akin to the characters in an intricate symphony, harmonizing to orchestrate the grand movement of correlation.

We employed the venerable Pearson correlation coefficient, that venerable stalwart of statistical inquiry, to measure the strength and direction of the linear relationship between the two variables. Furthermore, we conducted a series of rigorous t-tests, akin to scrutinizing jurors deliberating over the guilt or innocence of a defendant, to ascertain the statistical significance of our findings.

**Regression Modeling:**

Venturing into the realm of regression modeling, akin to navigators charting the uncharted waters of a vast ocean, we sought to unravel the nuanced nuances of this enigmatic correlation. Our multi-variate regression models evoked the image of a skillful conductor orchestrating a symphony of covariates, teasing apart the intricate harmonies of nomenclature and occupational proclivities. Through this labyrinthine methodological dance, we sought to distill the essence of causation from the murky depths of correlation.

**Quality Control and Sensitivity Analysis:**

In our unyielding pursuit of methodological rigor, we subjected our findings to the crucible of quality control and sensitivity analysis. Tasked with the unenviable role of methodological gatekeepers, we scrutinized every nook and cranny of our analytical framework, ensuring that our findings stood resolute in the face of methodological scrutiny. Like discerning oenophiles swirling a glass of fine wine, we imbibed the essence of our findings, savoring its qualitative nuances while subjecting it to the ruthless scrutiny of sensitivity analysis.

**Ethical Considerations:**

Amidst the heady fervor of statistical exploration, we remained steadfastly anchored to the ethos of ethical research conduct, akin to moral sentinels guarding the sanctity of scientific inquiry. Our adherence to ethical principles in data collection and analysis served as the moral compass guiding our empirical odyssey, ensuring that our quest for discovery remained untainted by ethical transgressions.

In essence, our methodological sojourn encompassed a tapestry of empirical pursuits, statistical vim, and moral rectitude, coalescing to unravel the enigmatic interplay between Ashanti's popularity and the realm of gas compressor and pumping station operators in Texas.

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 Ashanti and The number of gas compressor and gas pumping station operators in Texas. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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 0.9244788, r-squared of 0.8546611, 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]]
"Gasping for Air: The Ashanti Name Phenomenon and its Unlikely Correlation with Texas Gas Compressor and Pumping Station Operators"

[[ABSTRACT]]
The study investigates the unexpected relationship between the popularity of the first name Ashanti and the number of gas compressor and pumping station operators in the state of Texas. Employing data from the US Social Security Administration and the Bureau of Labor Statistics spanning from 2003 to 2022, our research team delved deep into this peculiar correlation. Our findings revealed a striking correlation coefficient of 0.9244788, with statistical significance (p < 0.01), leaving us gasping for air with the unanticipated discovery.

While the link between a name and an occupation may seem beyond the realm of reason, our rigorous analysis illuminates a curiously compelling pattern. As we untangle the web of factors at play, we probe the possibility of a subtle yet significant influence that the prevalence of the name Ashanti may exert on career choices in the Texas gas industry.

This paper sheds light on an unforeseen connection that may prompt further inquiry into the intricacies of nomenclature and occupational preferences. As we marvel at the enigmatic dance between names and professions, it becomes evident that the allure of the Ashanti name extends beyond musical fame to fascinating realms of occupational influence.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The human fascination with names and their impact on our lives is a topic that has intrigued scholars and laypeople alike for centuries. From Shakespeare’s ponderings on the significance of a name to modern-day studies on implicit biases associated with names, the power of nomenclature permeates various aspects of our existence. In the realm of occupational preferences, numerous studies have explored factors influencing career choices, ranging from education and upbringing to socioeconomic status and personal interests. However, the notion that the popularity of a given name could influence the career paths of individuals within a specific industry is an enigma that has eluded systematic inquiry.
In this paper, we endeavor to unravel the peculiar intersection of the popularity of the first name Ashanti and the prevalence of gas compressor and pumping station operators in the expansive state of Texas. The seemingly disparate entities of nomenclature and occupational vocation intersect in an unexpected manner, prompting our investigative foray into this uncharted territory. As we delve into the labyrinthine world of statistical analysis and sociolinguistic implications, we are mindful of the captivating blend of peculiarity and profundity inherent in our pursuit.
The serene and melodic cadence of the name Ashanti evokes a sense of charm and allure, closely associated with the eponymous West African ethnic group. Meanwhile, the bustling realm of gas compression and pumping stations conjures images of mechanized precision and industrial dynamism. The juxtaposition of these disparate realms prompts us to consider the interplay of seemingly incongruent elements, urging us to discern patterns where randomness ostensibly reigns.
Our study is underpinned by a robust dataset culled from the archives of the US Social Security Administration and the Bureau of Labor Statistics, spanning the years 2003 to 2022. Armed with the arsenal of empirical data and statistical methodologies, we embark on a quest to decipher the cryptic rapport between the ethereal domain of names and the pragmatic landscape of occupational pursuits. Our pursuit is guided by the knowledge that correlations, like onions, often have layers, and the fragrance of insightful discovery awaits those willing to peel away the superficial veneer.
As we immerse ourselves in the unfolding narrative of numerical abstraction and societal implications, we remain cognizant of the whimsical nature of human behavior and the capricious dance of statistical significance. Our ultimate aim is to not merely uncover an intriguing correlation but to ignite a spark of curiosity that illuminates the esoteric interconnections woven into the fabric of human existence.
Join us as we embark on this perplexing yet captivating odyssey, where the unlikeliest of bedfellows—the name Ashanti and the realm of gas compressor and pumping station operators—converge in a tale that transcends the mundanity of scientific inquiry and ventures into the realm of whimsy and wonder.

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

Our analysis of the relationship between the popularity of the first name Ashanti and the number of gas compressor and pumping station operators in Texas yielded some truly unexpected findings. The correlation coefficient between these seemingly unrelated variables was a striking 0.9244788, indicating a strong positive relationship. This correlation was further supported by an r-squared value of 0.8546611, signifying that over 85% of the variability in the number of gas operators could be explained by the popularity of the name Ashanti. With a p-value of less than 0.01, we can confidently assert the statistical significance of this correlation, leaving us both astounded and slightly giddy at the curious connection we had unearthed in our data.

In Figure 1, the scatterplot reveals a clear and pronounced positive linear relationship between the prevalence of the name Ashanti and the number of gas compressor and pumping station operators in Texas. The data points form a remarkably tight cluster, almost as if they were on a first-name basis with each other.

As we reflect on these results, we can't help but marvel at the fusion of serendipity and statistical significance that has led us to this peculiar correlation. It's as if the name Ashanti possesses a magnetic pull that beckons individuals toward the domain of gas operation, creating a harmonic convergence that defies conventional explanation. While the exact mechanism governing this phenomenon remains enigmatic, our findings undeniably underscore the nuanced interplay between nomenclature and occupational predilections.

The implications of this correlation extend beyond the realm of mere statistical curiosity, permeating the very fabric of sociolinguistic interactions and career pathways. We are left pondering the profound question: what's in a name? With this newfound understanding, we may need to consider renaming gas compressors to "Ashanti Operated Industrial Whimsies" for an added dash of charm and mystique.

Our results not only raise eyebrows but also inspire a sense of whimsical wonder at the intricate dance of human existence. As we bask in the glow of this unexpected discovery, we are reminded of the enduring truth that in the vast expanse of empirical inquiry, there is always room for the delightful and the unanticipated.

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 Ashanti and The number of gas compressor and gas pumping station operators in Texas. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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]]
"Gasping for Air: The Ashanti Name Phenomenon and its Unlikely Correlation with Texas Gas Compressor and Pumping Station Operators"

[[ABSTRACT]]
The study investigates the unexpected relationship between the popularity of the first name Ashanti and the number of gas compressor and pumping station operators in the state of Texas. Employing data from the US Social Security Administration and the Bureau of Labor Statistics spanning from 2003 to 2022, our research team delved deep into this peculiar correlation. Our findings revealed a striking correlation coefficient of 0.9244788, with statistical significance (p < 0.01), leaving us gasping for air with the unanticipated discovery.

While the link between a name and an occupation may seem beyond the realm of reason, our rigorous analysis illuminates a curiously compelling pattern. As we untangle the web of factors at play, we probe the possibility of a subtle yet significant influence that the prevalence of the name Ashanti may exert on career choices in the Texas gas industry.

This paper sheds light on an unforeseen connection that may prompt further inquiry into the intricacies of nomenclature and occupational preferences. As we marvel at the enigmatic dance between names and professions, it becomes evident that the allure of the Ashanti name extends beyond musical fame to fascinating realms of occupational influence.

[[LITERATURE REVIEW]]
The study of the connection between the popularity of the first name Ashanti and the number of gas compressor and pumping station operators in the state of Texas is a venture into uncharted territory, akin to the exploration of a whimsical yet profound dimension where the enigmatic dance of nomenclature and occupational predilections unfolds. As we examine the interconnectedness of this unlikely pair, we meander through the annals of literature, traversing scholarly inquiries, offbeat musings, and serendipitous revelations that shed light on this captivating confluence.
Smith et al. (2015) delved into the socio-sociolinguistic intricacies of names and their implications, unveiling the nuanced intertwining of nomenclature and societal perceptions. In a similar vein, Doe (2018) scrutinized the psychological underpinnings of name preferences and their latent influence on individual choices, laying the groundwork for our investigation into the intersection of the Ashanti name phenomenon and the gas industry in Texas.
Turning to the realm of popular non-fiction literature, "Freakonomics" by Steven Levitt and Stephen Dubner offers a tantalizing exploration of unconventional correlations, akin to our endeavor to unravel the veiled connection between a name and an occupation. Furthermore, "Blink" by Malcolm Gladwell delves into the enigmatic realm of snap judgments and implicit biases, inviting us to contemplate the subconscious allure that certain names may exude in the context of career preferences.
Venturing into the realm of fiction literature, the enigmatic allure of names and their latent power is the thematic cornerstone of "The Name of the Wind" by Patrick Rothfuss and "The Shadow of the Wind" by Carlos Ruiz Zafón. These literary odysseys, albeit far removed from the empirical pursuit of our study, provide a whimsical backdrop to contemplate the transcendental resonance of names in shaping destiny and occupational proclivities.
In a daring departure from conventional scholarly sources, we draw inspiration from childhood cartoons and shows that, though seemingly disparate from our academic pursuit, offer subtle insights into the whimsical interplay of names and fate. "Scooby-Doo", with its endearing cast of characters each bearing distinctive names, prompts a lighthearted reflection on the whimsy of nomenclature and its potential influence on personal inclinations. Similarly, the animated series "The Magic School Bus" serves as a whimsical tapestry wherein the interplay of names and occupations converges in a fantastical yet thought-provoking setting.
As we embark on this intellectual escapade, we remain cognizant of the preposterousness that underpins our quest, mindful that the pursuit of knowledge need not always reside in the austere realm of academia but can, at times, be imbued with a whimsy that transcends the rigidity of scholarly convention. Join us as we unravel the mystique of the Ashanti name phenomenon and its uncanny correlation with the realm of gas compressor and pumping station operators in Texas, journeying through literary landscapes that illuminate the whimsical yet profound resonance of nomenclature and occupational preferences.

[[RESULTS]]
Our analysis of the relationship between the popularity of the first name Ashanti and the number of gas compressor and pumping station operators in Texas yielded some truly unexpected findings. The correlation coefficient between these seemingly unrelated variables was a striking 0.9244788, indicating a strong positive relationship. This correlation was further supported by an r-squared value of 0.8546611, signifying that over 85% of the variability in the number of gas operators could be explained by the popularity of the name Ashanti. With a p-value of less than 0.01, we can confidently assert the statistical significance of this correlation, leaving us both astounded and slightly giddy at the curious connection we had unearthed in our data.
In Figure 1, the scatterplot reveals a clear and pronounced positive linear relationship between the prevalence of the name Ashanti and the number of gas compressor and pumping station operators in Texas. The data points form a remarkably tight cluster, almost as if they were on a first-name basis with each other.
As we reflect on these results, we can't help but marvel at the fusion of serendipity and statistical significance that has led us to this peculiar correlation. It's as if the name Ashanti possesses a magnetic pull that beckons individuals toward the domain of gas operation, creating a harmonic convergence that defies conventional explanation. While the exact mechanism governing this phenomenon remains enigmatic, our findings undeniably underscore the nuanced interplay between nomenclature and occupational predilections.
The implications of this correlation extend beyond the realm of mere statistical curiosity, permeating the very fabric of sociolinguistic interactions and career pathways. We are left pondering the profound question: what's in a name? With this newfound understanding, we may need to consider renaming gas compressors to "Ashanti Operated Industrial Whimsies" for an added dash of charm and mystique.
Our results not only raise eyebrows but also inspire a sense of whimsical wonder at the intricate dance of human existence. As we bask in the glow of this unexpected discovery, we are reminded of the enduring truth that in the vast expanse of empirical inquiry, there is always room for the delightful and the unanticipated.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

The uncanny correlation between the popularity of the first name Ashanti and the number of gas compressor and pumping station operators in the state of Texas has left us grappling with the whimsical yet perplexing intricacies of nomenclature and occupational proclivities. Upon reflection of our findings, it becomes evident that our results substantiate and extend prior research in this beguiling field of study, as we delve into the obscure interplay of names and career choices, echoing the scholarly musings that have paved the way for our intellectual escapade.

Our discovery of a striking correlation coefficient of 0.9244788, underpinned by a p-value of less than 0.01, aligns with the curiosity-driven spirit of prior inquiries into unconventional correlations. From the socio-sociolinguistic explorations of Smith et al. (2015) to the psychological underpinnings of name preferences scrutinized by Doe (2018), our research amplifies the esoteric allure of names and their latent influence on occupational pathways, propelling this enigmatic connection into the empirical spotlight. The unexpected convergence of the Ashanti name phenomenon with the gas industry in Texas serves as a whimsical testament to the thematic resonance of nomenclature and its enthralling influence on professional predilections, much like the non-fiction musings of Levitt and Dubner in "Freakonomics."

Our findings not only consolidate but elevate the unconventional wisdom gleaned from literary odysseys such as "The Name of the Wind" by Patrick Rothfuss and "The Shadow of the Wind" by Carlos Ruiz Zafón, infusing our empirical pursuit with a dash of whimsy that artfully mirrors the transcendental resonance of names in shaping occupational destinies. The serendipitous confluence of our results with the irreverent yet revelatory spirit of "Scooby-Doo" and "The Magic School Bus" beckons us to embrace the whimsical interplay of names and fate, adding an unexpected layer of mirth to our scholarly discourse.

As we bask in the glow of this unanticipated discovery, the very question "what's in a name?" takes on a newfound profundity, prompting us to contemplate the enigmatic allure that certain names may exude in the context of career preferences. Perhaps our next step is to explore the influence of names on other occupational realms, unlocking the untold whimsies that lie dormant in the dance of nomenclature and professional proclivities. In the venturesome pursuit of knowledge, we are reminded that the rigidity of scholarly convention can, at times, benefit from a whimsical infusion of the unexpected and the delightful.

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 Ashanti and The number of gas compressor and gas pumping station operators in Texas. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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]]
"Gasping for Air: The Ashanti Name Phenomenon and its Unlikely Correlation with Texas Gas Compressor and Pumping Station Operators"

[[ABSTRACT]]
The study investigates the unexpected relationship between the popularity of the first name Ashanti and the number of gas compressor and pumping station operators in the state of Texas. Employing data from the US Social Security Administration and the Bureau of Labor Statistics spanning from 2003 to 2022, our research team delved deep into this peculiar correlation. Our findings revealed a striking correlation coefficient of 0.9244788, with statistical significance (p < 0.01), leaving us gasping for air with the unanticipated discovery.

While the link between a name and an occupation may seem beyond the realm of reason, our rigorous analysis illuminates a curiously compelling pattern. As we untangle the web of factors at play, we probe the possibility of a subtle yet significant influence that the prevalence of the name Ashanti may exert on career choices in the Texas gas industry.

This paper sheds light on an unforeseen connection that may prompt further inquiry into the intricacies of nomenclature and occupational preferences. As we marvel at the enigmatic dance between names and professions, it becomes evident that the allure of the Ashanti name extends beyond musical fame to fascinating realms of occupational influence.

[[INTRDUCTION]]
The human fascination with names and their impact on our lives is a topic that has intrigued scholars and laypeople alike for centuries. From Shakespeare’s ponderings on the significance of a name to modern-day studies on implicit biases associated with names, the power of nomenclature permeates various aspects of our existence. In the realm of occupational preferences, numerous studies have explored factors influencing career choices, ranging from education and upbringing to socioeconomic status and personal interests. However, the notion that the popularity of a given name could influence the career paths of individuals within a specific industry is an enigma that has eluded systematic inquiry.
In this paper, we endeavor to unravel the peculiar intersection of the popularity of the first name Ashanti and the prevalence of gas compressor and pumping station operators in the expansive state of Texas. The seemingly disparate entities of nomenclature and occupational vocation intersect in an unexpected manner, prompting our investigative foray into this uncharted territory. As we delve into the labyrinthine world of statistical analysis and sociolinguistic implications, we are mindful of the captivating blend of peculiarity and profundity inherent in our pursuit.
The serene and melodic cadence of the name Ashanti evokes a sense of charm and allure, closely associated with the eponymous West African ethnic group. Meanwhile, the bustling realm of gas compression and pumping stations conjures images of mechanized precision and industrial dynamism. The juxtaposition of these disparate realms prompts us to consider the interplay of seemingly incongruent elements, urging us to discern patterns where randomness ostensibly reigns.
Our study is underpinned by a robust dataset culled from the archives of the US Social Security Administration and the Bureau of Labor Statistics, spanning the years 2003 to 2022. Armed with the arsenal of empirical data and statistical methodologies, we embark on a quest to decipher the cryptic rapport between the ethereal domain of names and the pragmatic landscape of occupational pursuits. Our pursuit is guided by the knowledge that correlations, like onions, often have layers, and the fragrance of insightful discovery awaits those willing to peel away the superficial veneer.
As we immerse ourselves in the unfolding narrative of numerical abstraction and societal implications, we remain cognizant of the whimsical nature of human behavior and the capricious dance of statistical significance. Our ultimate aim is to not merely uncover an intriguing correlation but to ignite a spark of curiosity that illuminates the esoteric interconnections woven into the fabric of human existence.
Join us as we embark on this perplexing yet captivating odyssey, where the unlikeliest of bedfellows—the name Ashanti and the realm of gas compressor and pumping station operators—converge in a tale that transcends the mundanity of scientific inquiry and ventures into the realm of whimsy and wonder.

[[RESULTS]]
Our analysis of the relationship between the popularity of the first name Ashanti and the number of gas compressor and pumping station operators in Texas yielded some truly unexpected findings. The correlation coefficient between these seemingly unrelated variables was a striking 0.9244788, indicating a strong positive relationship. This correlation was further supported by an r-squared value of 0.8546611, signifying that over 85% of the variability in the number of gas operators could be explained by the popularity of the name Ashanti. With a p-value of less than 0.01, we can confidently assert the statistical significance of this correlation, leaving us both astounded and slightly giddy at the curious connection we had unearthed in our data.
In Figure 1, the scatterplot reveals a clear and pronounced positive linear relationship between the prevalence of the name Ashanti and the number of gas compressor and pumping station operators in Texas. The data points form a remarkably tight cluster, almost as if they were on a first-name basis with each other.
As we reflect on these results, we can't help but marvel at the fusion of serendipity and statistical significance that has led us to this peculiar correlation. It's as if the name Ashanti possesses a magnetic pull that beckons individuals toward the domain of gas operation, creating a harmonic convergence that defies conventional explanation. While the exact mechanism governing this phenomenon remains enigmatic, our findings undeniably underscore the nuanced interplay between nomenclature and occupational predilections.
The implications of this correlation extend beyond the realm of mere statistical curiosity, permeating the very fabric of sociolinguistic interactions and career pathways. We are left pondering the profound question: what's in a name? With this newfound understanding, we may need to consider renaming gas compressors to "Ashanti Operated Industrial Whimsies" for an added dash of charm and mystique.
Our results not only raise eyebrows but also inspire a sense of whimsical wonder at the intricate dance of human existence. As we bask in the glow of this unexpected discovery, we are reminded of the enduring truth that in the vast expanse of empirical inquiry, there is always room for the delightful and the unanticipated.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our research has unraveled a curious tapestry of statistical serendipity that intertwines the popularity of the first name Ashanti with the number of gas compressor and pumping station operators in the Lone Star State. This unforeseen correlation, with its impressive coefficient of 0.9244788, has left us pondering the enigmatic allure of nomenclature and its influence on occupational pathways. It seems that in the grand symphony of statistical analysis, the name Ashanti conducts a melodious overture that echoes through the industrious corridors of Texas's gas infrastructure, enticing individuals with a siren call that defies conventional logic.

As we wrap up our findings, it becomes increasingly evident that our results not only provoke scholarly intrigue but also infuse the realm of scientific inquiry with a whimsical charm. The enigmatic dance of statistical significance and societal subtleties beckons us to consider the myriad ways in which human behavior intertwines with the esoteric tendrils of nomenclature. The implications are as profound as they are amusing, prompting us to ponder the potential for whimsically named gas operations to revolutionize the Texan industrial landscape.

With that, we assert that further inquiry into this captivating phenomenon may yield amusing insights, but for now, it seems that we've unraveled the quirkiest facets of the Ashanti name's influence on Texas gas operators. In the grand theater of empirical investigation, it is with a knowing smile and a twinkle in our scholarly eyes that we declare - "That's all folks!" - for no further research is needed in this delightfully whimsical realm.

And thus, we bid adieu to the peculiar yet enchanting tale of the Ashanti name's unforeseen rendezvous with Texas gas compressor and pumping station operators, leaving academia with a dash of humor and a newfound appreciation for the whimsy of statistical discovery.

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 Gasping for Air: The Ashanti Name Phenomenon and its Unlikely Correlation with Texas Gas Compressor and Pumping Station Operators. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Lexical Linguistics and Industrial Sociology

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 Gasping for Air: The Ashanti Name Phenomenon and its Unlikely Correlation with Texas Gas Compressor and Pumping Station Operators. Respond only with the name of a fictional organization.

ChatGPT:

The Consortium for Cultural Linguistics and Industrial Trends

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 Gasping for Air: The Ashanti Name Phenomenon and its Unlikely Correlation with Texas Gas Compressor and Pumping Station Operators with an abstract of The study investigates the unexpected relationship between the popularity of the first name Ashanti and the number of gas compressor and pumping station operators in the state of Texas. Employing data from the US Social Security Administration and the Bureau of Labor Statistics spanning from 2003 to 2022, our research team delved deep into this peculiar correlation. Our findings revealed a striking correlation coefficient of 0.9244788, with statistical significance (p < 0.01), leaving us gasping for air with the unanticipated discovery.
While the link between a name and an occupation may seem beyond the realm of reason, our rigorous analysis illuminates a curiously compelling pattern. As we untangle the web of factors at play, we probe the possibility of a subtle yet significant influence that the prevalence of the name Ashanti may exert on career choices in the Texas gas industry.
This paper sheds light on an unforeseen connection that may prompt further inquiry into the intricacies of nomenclature and occupational preferences. As we marvel at the enigmatic dance between names and professions, it becomes evident that the allure of the Ashanti name extends beyond musical fame to fascinating realms of occupational influence.

ChatGPT:

Ashanti name phenomenon, Texas gas industry, gas compressor operators, pumping station operators, correlation coefficient, US Social Security Administration data, Bureau of Labor Statistics, occupational preferences, nomenclature influence, Ashanti name popularity, career choices, Texas gas industry employment, name and occupation correlation

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

The number of gas compressor and gas pumping station operators in Texas
Detailed data title: BLS estimate of gas compressor and gas pumping station operators in Texas
Source: Bureau of Larbor Statistics
See what else correlates with The number of gas compressor and gas pumping station operators in Texas

Correlation r = 0.9244788 (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 = 0.8546611 (Coefficient of determination)
This means 85.5% of the change in the one variable (i.e., The number of gas compressor and gas pumping station operators in Texas) is predictable based on the change in the other (i.e., Popularity of the first name Ashanti) over the 20 years from 2003 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 5.8E-9.^Show 0.0000000057569072049065865000
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 0.92 in 5.8E-7% of random cases. Said differently, if you correlated 173,704,381 random variables^Note You don't actually need 173 million 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 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.

[ 0.82, 0.97 ] 95% correlation confidence interval (using the Fisher z-transformation)
^{Read more about the confidence interval} The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

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

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

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

	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 Ashanti (Babies born)	968	542	398	303	307	292	273	233	240	200	208	184	162	161	140	164	166	109	103	116
The number of gas compressor and gas pumping station operators in Texas (Laborers)	2300	1330	870	600	440	510	480	370	270	370	410	360	240	200	170	170	220	300	240	900

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.
Outlandish outliers: There are "outliers" in this data.^Note In concept, "outlier" just means "way different than the rest of your dataset." When calculating a correlation like this, they are particularly impactful because a single outlier can substantially increase your correlation.

For the purposes of this project, I counted a point as an outlier if it the residual was two standard deviations from the mean.

(This bullet point only shows up in the details page on charts that do, in fact, have outliers.)
They stand out on the scatterplot above: notice the dots that are far away from any other dots. I intentionally mishandeled outliers, which makes the correlation look extra strong.

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([968,542,398,303,307,292,273,233,240,200,208,184,162,161,140,164,166,109,103,116,])
array_2 = np.array([2300,1330,870,600,440,510,480,370,270,370,410,360,240,200,170,170,220,300,240,900,])
array_1_name = "Popularity of the first name Ashanti"
array_2_name = "The number of gas compressor and gas pumping station operators in Texas"

# 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)
Portable line chart (png), optimized for mobile
Line chart for only Popularity of the first name Ashanti
Line chart for only The number of gas compressor and gas pumping station operators in Texas
AI-generated correlation image
The spurious research paper: Gasping for Air: The Ashanti Name Phenomenon and its Unlikely Correlation with Texas Gas Compressor and Pumping Station Operators

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Correlation ID: 3241 · Black Variable ID: 3150 · Red Variable ID: 14960


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