Spurious correlation #2,733 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is The distance between Jupiter and the Sun and the second variable is The number of secretaries in Alaska. The chart goes from 2010 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 The distance between Jupiter and the Sun and the second variable is The number of secretaries in Alaska. The chart goes from 2010 to 2022, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As the distance between Jupiter and the Sun increases, the gravitational pull on Earth fluctuates, leading to a rise in cosmic productivity waves. These waves, when they reach Alaska, have been found to have a magnetic effect on the influx of secretarial energy, prompting more individuals to pursue careers in Alaska as professional secretaries. It's like a celestial calling for secretarial excellence in the land of the midnight sun.

^{Show image generation prompt} Model: dalle-3
Prompt: Generate an image of a futuristic scene with a vast, open field under a clear blue sky. In the distance, the huge planet Jupiter shines brightly, positioned exactly 484 million miles from the radiant Sun. In this wide landscape, a small wooden building stands amidst the spirited Alaskan wilderness. Outside the building, a small group of three secretaries cheerfully chats while taking a break. The futuristic style should depict an otherworldly ambiance, perhaps with sleek, minimalistic structures and advanced technology subtly integrated into the natural landscape. 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: The distance between Jupiter and the Sun and The number of secretaries in Alaska. 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: Cyberpunk Minimalism Futuristic Magic realism Cute 2D animation
ChatGPT: Futuristic

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 The distance between Jupiter and the Sun and The number of secretaries in Alaska together. Keep the description simple.
ChatGPT: In a vast, open field under the clear blue sky, the huge planet Jupiter shines brightly in the distance, positioned at a specific point exactly 484 million miles from the radiant Sun. In the same wide landscape, a small wooden building stands amidst the spirited Alaskan wilderness, with a small group of three secretaries cheerfully chatting outside while taking a break.

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: [ Futuristic ] and depicting this scene: In a vast, open field under the clear blue sky, the huge planet Jupiter shines brightly in the distance, positioned at a specific point exactly 484 million miles from the radiant Sun. In the same wide landscape, a small wooden building stands amidst the spirited Alaskan wilderness, with a small group of three secretaries cheerfully chatting outside while taking a break. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a futuristic scene with a vast, open field under a clear blue sky. In the distance, the huge planet Jupiter shines brightly, positioned exactly 484 million miles from the radiant Sun. In this wide landscape, a small wooden building stands amidst the spirited Alaskan wilderness. Outside the building, a small group of three secretaries cheerfully chats while taking a break. The futuristic style should depict an otherworldly ambiance, perhaps with sleek, minimalistic structures and advanced technology subtly integrated into the natural landscape.

*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 increases in The distance between Jupiter and the Sun positively influenced The number of secretaries in Alaska. Make it feel plausible.

AI academic paper

(Because p < 0.01)

Planetary Paradox: The Celestial Dance of Jupiter and the Surprising Serendipity of Secretaries in Alaska

The Journal of Cosmic Coincidences

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 dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a literature review section of an academic research paper presenting the findings of the connection between The distance between Jupiter and the Sun and The number of secretaries in Alaska. Make lots of jokes, goofy observations, and puns.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then you might move on to cartoons and children's shows that you watched for research.

Here is the title and abstract of the paper:
[[TITLE]]
"Planetary Paradox: The Celestial Dance of Jupiter and the Surprising Serendipity of Secretaries in Alaska"

[[ABSTRACT]]
This study explores the perplexing relationship between the distance of Jupiter from the Sun and the number of secretaries in the remote and enigmatic land of Alaska. Using data sourced from Astropy for the distances between celestial bodies and the Bureau of Labor Statistics for employment figures, our research team delved into this curious correlation.

Despite the vast cosmic chasm that separates Jupiter from the Sun, our analysis revealed a strikingly strong correlation with the number of secretaries in Alaska, with a correlation coefficient of 0.9496099 and p < 0.01 for the years 2010 to 2022. The implications of these findings are as staggering as the celestial distances themselves, leading us to ponder the possible cosmic influence on earthly employment dynamics.

While the cause of this correlation remains shrouded in mystery, our research sheds light on the whimsical and wondrous interplay between planetary positions and earthly occupations. This paper aims to spark further scientific inquiry into the cosmic forces at play in the realm of labor economics, with a touch of celestial humor and a cosmic wink to accompany it.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
INTRODUCTION
The universe is a vast and mysterious expanse, with celestial bodies swirling in an intricate cosmic dance that has captivated human imagination for millennia. Among these celestial actors, Jupiter holds a particularly prominent role, with its immense size and radiant presence in our solar system. Meanwhile, here on Earth, the wheels of industry turn and the gears of labor economics grind, shaping the employment landscape in ways both predictable and peculiar.
In this study, our research team set out to unravel the enigma of the connection between the distance separating Jupiter and the Sun and the number of secretaries laboring in the distant and fabled region of Alaska. While this juxtaposition may initially seem as incongruous as a penguin in the Sahara, our analysis has unearthed a surprising correlation that challenges conventional wisdom and tickles the fancies of both celestial aficionados and labor economists alike.
The decision to focus on the number of secretaries in Alaska was not made merely on a whim or a twinkle of caprice, but rather stemmed from a serendipitous scrutiny of employment data. The remote and rugged terrain of Alaska, with its vast expanses and unique economic dynamics, provided an ideal backdrop for this investigation. Furthermore, the ukelele of humor gently strummed as we pondered the notion of celestial bodies influencing earthly occupations, resulting in a twinkle in our academic eyes and a chuckle in our scholarly hearts.
Our study navigates the expanse of space and the landscape of labor economics to shed light on this unlikely correlation, aiming to guide future endeavors into the cosmic choreography of employment dynamics. As we embark on this celestial voyage of discovery, we invite fellow scholars and enthusiasts to join us in uncovering the cosmic secrets that may shape employment trends in ways that are as delightful as they are perplexing.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

The peculiar juxtaposition of celestial distances and earthly employment dynamics has spurred a wave of scholarly inquiries into the cosmic forces potentially influencing labor trends. As the great minds of scholarly pursuit endeavor to unravel this cosmic enigma, various studies have delved into related subjects, aiming to shed light on this curious correlation.

In "The Planetary Puzzle: Exploring Celestial Influences on Terrestrial Affairs" by Smith et al., the authors find speculative evidence suggesting potential celestial influences on earthly activities. Although the connection between celestial bodies and terrestrial occupations remains a topic of fervent debate, the celestial whimsy inherent in such discussions cannot be overstated.

In a similar vein, Doe's "Astrological Anomalies: A Review of Celestial Phenomena and Their Potential Impact on Human Endeavors" offers a thought-provoking examination of the potential connections between cosmic positions and human pursuits. The ramifications of such cosmic caprice on earthly affairs have captured the imagination of both scholars and enthusiasts, leading to a discourse that is as compelling as it is light-hearted.

While the literature surrounding these celestial phenomena is vast, it is important to note that the juxtaposition of Jupiter's distance from the Sun and the number of secretaries in Alaska has elicited a plethora of unexpected comedic interpretations. In a serendipitous twist of scholarly pursuit, references to celestial comedy and cosmic capers have found their way into the discourse, transforming the scholarly pursuit into a delightful reverie of astronomical and occupational humor.

Turning to non-fiction works, "Cosmic Coincidences: Unraveling the Enigmatic Connection Between Astrology and Employment Dynamics" by Jones et al. explores the intersection of celestial positions and occupational patterns, teasing out the subtle nuances of a cosmic ballet interwoven with the intricacies of employment data. This exploration, while steeped in scholarly rigor, infuses the discussion with a delightful touch of celestial whimsy, captivating readers with its celestial charm.

Shifting into the realm of fiction that seems oddly related to the subject matter, "The Hitchhiker's Guide to the Galaxy" by Douglas Adams and "Good Omens" by Neil Gaiman and Terry Pratchett offer imaginative narratives that playfully intertwine cosmic phenomena with earthly events. While these fictional works are far from scholarly treatises, their whimsical exploration of celestial influences on human affairs offers an unexpectedly light-hearted perspective on the cosmic dance of influence and unpredictability.

As this literature review expands its scope to include unexpected sources of insight, it is important to recognize the scholarly endeavors that have been conducted with utmost sincerity. In the pursuit of understanding the curious correlation between the distance of Jupiter from the Sun and the number of secretaries in Alaska, this academic journey has encountered a spectrum of literary and humorous dimensions, presenting a cosmic tapestry of scholarly inquiry interwoven with whimsical charm.

Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the methodology section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the methodology section of an academic research paper presenting the findings of the connection between The distance between Jupiter and the Sun and The number of secretaries in Alaska. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from Caclculated using Astropy and Bureau of Larbor Statistics . You used data from 2010 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]]
"Planetary Paradox: The Celestial Dance of Jupiter and the Surprising Serendipity of Secretaries in Alaska"

[[ABSTRACT]]
This study explores the perplexing relationship between the distance of Jupiter from the Sun and the number of secretaries in the remote and enigmatic land of Alaska. Using data sourced from Astropy for the distances between celestial bodies and the Bureau of Labor Statistics for employment figures, our research team delved into this curious correlation.

Despite the vast cosmic chasm that separates Jupiter from the Sun, our analysis revealed a strikingly strong correlation with the number of secretaries in Alaska, with a correlation coefficient of 0.9496099 and p < 0.01 for the years 2010 to 2022. The implications of these findings are as staggering as the celestial distances themselves, leading us to ponder the possible cosmic influence on earthly employment dynamics.

While the cause of this correlation remains shrouded in mystery, our research sheds light on the whimsical and wondrous interplay between planetary positions and earthly occupations. This paper aims to spark further scientific inquiry into the cosmic forces at play in the realm of labor economics, with a touch of celestial humor and a cosmic wink to accompany it.

[[INTRODUCTION]]
INTRODUCTION
The universe is a vast and mysterious expanse, with celestial bodies swirling in an intricate cosmic dance that has captivated human imagination for millennia. Among these celestial actors, Jupiter holds a particularly prominent role, with its immense size and radiant presence in our solar system. Meanwhile, here on Earth, the wheels of industry turn and the gears of labor economics grind, shaping the employment landscape in ways both predictable and peculiar.
In this study, our research team set out to unravel the enigma of the connection between the distance separating Jupiter and the Sun and the number of secretaries laboring in the distant and fabled region of Alaska. While this juxtaposition may initially seem as incongruous as a penguin in the Sahara, our analysis has unearthed a surprising correlation that challenges conventional wisdom and tickles the fancies of both celestial aficionados and labor economists alike.
The decision to focus on the number of secretaries in Alaska was not made merely on a whim or a twinkle of caprice, but rather stemmed from a serendipitous scrutiny of employment data. The remote and rugged terrain of Alaska, with its vast expanses and unique economic dynamics, provided an ideal backdrop for this investigation. Furthermore, the ukelele of humor gently strummed as we pondered the notion of celestial bodies influencing earthly occupations, resulting in a twinkle in our academic eyes and a chuckle in our scholarly hearts.
Our study navigates the expanse of space and the landscape of labor economics to shed light on this unlikely correlation, aiming to guide future endeavors into the cosmic choreography of employment dynamics. As we embark on this celestial voyage of discovery, we invite fellow scholars and enthusiasts to join us in uncovering the cosmic secrets that may shape employment trends in ways that are as delightful as they are perplexing.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

Data Collection:
The data for this study was obtained from credible sources such as Astropy, an open-source software library for the precise computation of astronomical calculations, and the Bureau of Labor Statistics, which provided labor force data for the state of Alaska. The data selected for analysis encompassed the time period from 2010 to 2022, allowing for a comprehensive investigation of the celestial and labor phenomena under scrutiny.

Utilizing the celestial information from Astropy, the distances between Jupiter and the Sun were meticulously recorded for each year under consideration. This involved computing the positions of the celestial bodies in three-dimensional space, accounting for their elliptical orbits and relative movements. Meanwhile, the Bureau of Labor Statistics furnished employment figures, including the number of secretaries, administrative assistants, and related occupations in Alaska during the same temporal span.

Data Analysis:
The initial step in the analysis involved cross-referencing the celestial and labor data to identify any patterns or correlations that might emerge. This process elicited a few raised eyebrows among the research team, as the juxtaposition of cosmic distances and earthly employment dynamics appeared more akin to a cosmic jest than a legitimate research pursuit.

However, undeterred by the seeming absurdity of this correlation, the researchers diligently employed statistical methods to assess the strength and significance of the relationship. Specifically, a correlation analysis was conducted to quantify the association between the distance of Jupiter from the Sun and the number of secretaries in Alaska. This analysis revealed a correlation coefficient of 0.9496099, which elicited both amazement and amusement from the research team, as such a strong correlation between an astronomical parameter and a terrestrial occupation was indeed unexpected.

In addition, a regression analysis was performed to model the potential predictive power of Jupiter's distance on the number of secretaries in Alaska. The results, while scientifically intriguing, also inspired a series of celestial-themed puns and jests within the research cohort, exemplifying the light-hearted spirit that infused this investigation.

Control Variables:
To ensure the robustness of the findings, several control variables were considered and included in the analysis. Factors such as economic cycles, population dynamics, and technological advancements were deemed potential confounding variables and were thus incorporated into the statistical models. This approach guarded against spurious correlations and enhanced the rigor of the research, albeit with occasional humor-laden remarks from the research team regarding the audacious task of controlling for cosmic caprice.

Ethical Considerations:
The researchers adhered to the highest ethical standards in gathering and analyzing the data for this study. No celestial bodies were harmed or unduly influenced in the pursuit of this research, and all labor statistics were handled with utmost respect for the hardworking individuals contributing to the economy of Alaska. The ethical integrity of the study stood as firm as Jupiter's gravitational pull, with a touch of cosmic propriety and scholarly goodwill guiding the scholarly endeavor.

In conclusion, the methodology employed in this study encompassed diligent data collection, rigorous statistical analyses, and a sprinkle of celestial whimsy. This approach aimed to disentangle the intricate interplay between Jupiter's celestial distance and the terrestrial presence of secretaries in Alaska, offering both scientific insight and a celestial chuckle along the way.

Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the discussion section of an academic research paper presenting the findings of the connection between The distance between Jupiter and the Sun and The number of secretaries in Alaska. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

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]]
"Planetary Paradox: The Celestial Dance of Jupiter and the Surprising Serendipity of Secretaries in Alaska"

[[ABSTRACT]]
This study explores the perplexing relationship between the distance of Jupiter from the Sun and the number of secretaries in the remote and enigmatic land of Alaska. Using data sourced from Astropy for the distances between celestial bodies and the Bureau of Labor Statistics for employment figures, our research team delved into this curious correlation.

Despite the vast cosmic chasm that separates Jupiter from the Sun, our analysis revealed a strikingly strong correlation with the number of secretaries in Alaska, with a correlation coefficient of 0.9496099 and p < 0.01 for the years 2010 to 2022. The implications of these findings are as staggering as the celestial distances themselves, leading us to ponder the possible cosmic influence on earthly employment dynamics.

While the cause of this correlation remains shrouded in mystery, our research sheds light on the whimsical and wondrous interplay between planetary positions and earthly occupations. This paper aims to spark further scientific inquiry into the cosmic forces at play in the realm of labor economics, with a touch of celestial humor and a cosmic wink to accompany it.

[[LITERATURE REVIEW]]
The peculiar juxtaposition of celestial distances and earthly employment dynamics has spurred a wave of scholarly inquiries into the cosmic forces potentially influencing labor trends. As the great minds of scholarly pursuit endeavor to unravel this cosmic enigma, various studies have delved into related subjects, aiming to shed light on this curious correlation.
In "The Planetary Puzzle: Exploring Celestial Influences on Terrestrial Affairs" by Smith et al., the authors find speculative evidence suggesting potential celestial influences on earthly activities. Although the connection between celestial bodies and terrestrial occupations remains a topic of fervent debate, the celestial whimsy inherent in such discussions cannot be overstated.
In a similar vein, Doe's "Astrological Anomalies: A Review of Celestial Phenomena and Their Potential Impact on Human Endeavors" offers a thought-provoking examination of the potential connections between cosmic positions and human pursuits. The ramifications of such cosmic caprice on earthly affairs have captured the imagination of both scholars and enthusiasts, leading to a discourse that is as compelling as it is light-hearted.
While the literature surrounding these celestial phenomena is vast, it is important to note that the juxtaposition of Jupiter's distance from the Sun and the number of secretaries in Alaska has elicited a plethora of unexpected comedic interpretations. In a serendipitous twist of scholarly pursuit, references to celestial comedy and cosmic capers have found their way into the discourse, transforming the scholarly pursuit into a delightful reverie of astronomical and occupational humor.
Turning to non-fiction works, "Cosmic Coincidences: Unraveling the Enigmatic Connection Between Astrology and Employment Dynamics" by Jones et al. explores the intersection of celestial positions and occupational patterns, teasing out the subtle nuances of a cosmic ballet interwoven with the intricacies of employment data. This exploration, while steeped in scholarly rigor, infuses the discussion with a delightful touch of celestial whimsy, captivating readers with its celestial charm.
Shifting into the realm of fiction that seems oddly related to the subject matter, "The Hitchhiker's Guide to the Galaxy" by Douglas Adams and "Good Omens" by Neil Gaiman and Terry Pratchett offer imaginative narratives that playfully intertwine cosmic phenomena with earthly events. While these fictional works are far from scholarly treatises, their whimsical exploration of celestial influences on human affairs offers an unexpectedly light-hearted perspective on the cosmic dance of influence and unpredictability.
As this literature review expands its scope to include unexpected sources of insight, it is important to recognize the scholarly endeavors that have been conducted with utmost sincerity. In the pursuit of understanding the curious correlation between the distance of Jupiter from the Sun and the number of secretaries in Alaska, this academic journey has encountered a spectrum of literary and humorous dimensions, presenting a cosmic tapestry of scholarly inquiry interwoven with whimsical charm.

[[RESULTS]]
The statistical analysis of the relationship between the distance of Jupiter from the Sun and the number of secretaries in Alaska for the period of 2010 to 2022 revealed a remarkably strong correlation. The correlation coefficient of 0.9496099 indicates a strong positive linear relationship, implying that as the distance between Jupiter and the Sun varies, there is a corresponding substantial influence on the employment of secretarial positions in Alaska.
In addition to the high correlation coefficient, the r-squared value of 0.9017589 further underscores the robustness of this relationship. This suggests that approximately 90% of the variation in the number of secretaries in Alaska can be explained by changes in the distance between Jupiter and the Sun. The p-value of less than 0.01 indicates a high level of statistical significance, providing compelling evidence to reject the null hypothesis and affirm the presence of a genuine relationship between these seemingly disparate variables.
The scatterplot (Fig. 1) visually depicts the strong correlation between the distance of Jupiter from the Sun and the number of secretaries in Alaska. Each data point in the plot represents a specific year within the designated timeframe, with the x-axis displaying the distance between Jupiter and the Sun, and the y-axis representing the number of secretaries in Alaska. The tightly clustered data points demonstrate a clear and coherent pattern, reinforcing the statistical findings of a substantial connection between these two variables.
This compelling correlation raises intriguing questions about the underlying mechanisms that may link celestial positions with earthly employment dynamics. While the precise causative factors remain uncertain, the findings of this study surely invite both a sense of cosmic curiosity and a gravitational pull toward further exploration of the intricate interplay between celestial phenomena and labor market trends.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The results of our study confirm and extend prior research on the intriguing relationship between celestial positions and earthly employment dynamics. As we dive into the cosmic depths of this correlation, our findings align with the speculative evidence put forth by Smith et al. and Doe, suggesting potential celestial influences on earthly activities. The robust correlation coefficient of 0.9496099 and its statistical significance aligns with the scholarly musings on celestial whimsy and cosmic caprice, adding a layer of empirical weight to the lighthearted discourse.

Surprisingly, our analysis supports the unexpected comedic interpretations that have permeated the scholarly pursuit of this correlation. The strong positive linear relationship between the distance of Jupiter from the Sun and the number of secretaries in Alaska parallels the 'cosmic capers' and 'celestial comedy' acknowledgments previously documented in the literature. This unexpected alignment between our empirical findings and the whimsical dimensions of the literature underscores the mercurial nature of scholarly inquiry and the delightful interplay of celestial humor with rigorous investigation.

As we look beyond the statistical numbers and delve into the narrative fabric of our findings, it is fascinating to note the parallel between our results and the light-hearted exploration of celestial influences on human affairs presented in fictional works such as "The Hitchhiker's Guide to the Galaxy" and "Good Omens." While our study is firmly grounded in quantitative analysis, the unexpected thematic resonance with these imaginative narratives serves as a cosmic wink in the direction of scholarly pursuits that captivate readers with their celestial charm.

The strength of the correlation, alongside its statistical significance and visual coherence in the scatterplot, prompts a cosmic curiosity about the underlying mechanisms that may link celestial positions to earthly employment dynamics. While our study does not provide definitive answers, it serves as a celestial prompt for further exploration into the intricate interplay between celestial phenomena and labor market trends, inviting scholars and enthusiasts alike to venture into the cosmic dance of influence and unpredictability.

Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the discussion section of goofy academic research papers that sounds like it belongs based on the title and abstract provided.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a short conclusion of an academic research paper presenting the findings of the connection between The distance between Jupiter and the Sun and The number of secretaries in Alaska. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

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]]
"Planetary Paradox: The Celestial Dance of Jupiter and the Surprising Serendipity of Secretaries in Alaska"

[[ABSTRACT]]
This study explores the perplexing relationship between the distance of Jupiter from the Sun and the number of secretaries in the remote and enigmatic land of Alaska. Using data sourced from Astropy for the distances between celestial bodies and the Bureau of Labor Statistics for employment figures, our research team delved into this curious correlation.

Despite the vast cosmic chasm that separates Jupiter from the Sun, our analysis revealed a strikingly strong correlation with the number of secretaries in Alaska, with a correlation coefficient of 0.9496099 and p < 0.01 for the years 2010 to 2022. The implications of these findings are as staggering as the celestial distances themselves, leading us to ponder the possible cosmic influence on earthly employment dynamics.

While the cause of this correlation remains shrouded in mystery, our research sheds light on the whimsical and wondrous interplay between planetary positions and earthly occupations. This paper aims to spark further scientific inquiry into the cosmic forces at play in the realm of labor economics, with a touch of celestial humor and a cosmic wink to accompany it.

[[INTRDUCTION]]
INTRODUCTION
The universe is a vast and mysterious expanse, with celestial bodies swirling in an intricate cosmic dance that has captivated human imagination for millennia. Among these celestial actors, Jupiter holds a particularly prominent role, with its immense size and radiant presence in our solar system. Meanwhile, here on Earth, the wheels of industry turn and the gears of labor economics grind, shaping the employment landscape in ways both predictable and peculiar.
In this study, our research team set out to unravel the enigma of the connection between the distance separating Jupiter and the Sun and the number of secretaries laboring in the distant and fabled region of Alaska. While this juxtaposition may initially seem as incongruous as a penguin in the Sahara, our analysis has unearthed a surprising correlation that challenges conventional wisdom and tickles the fancies of both celestial aficionados and labor economists alike.
The decision to focus on the number of secretaries in Alaska was not made merely on a whim or a twinkle of caprice, but rather stemmed from a serendipitous scrutiny of employment data. The remote and rugged terrain of Alaska, with its vast expanses and unique economic dynamics, provided an ideal backdrop for this investigation. Furthermore, the ukelele of humor gently strummed as we pondered the notion of celestial bodies influencing earthly occupations, resulting in a twinkle in our academic eyes and a chuckle in our scholarly hearts.
Our study navigates the expanse of space and the landscape of labor economics to shed light on this unlikely correlation, aiming to guide future endeavors into the cosmic choreography of employment dynamics. As we embark on this celestial voyage of discovery, we invite fellow scholars and enthusiasts to join us in uncovering the cosmic secrets that may shape employment trends in ways that are as delightful as they are perplexing.

[[RESULTS]]
The statistical analysis of the relationship between the distance of Jupiter from the Sun and the number of secretaries in Alaska for the period of 2010 to 2022 revealed a remarkably strong correlation. The correlation coefficient of 0.9496099 indicates a strong positive linear relationship, implying that as the distance between Jupiter and the Sun varies, there is a corresponding substantial influence on the employment of secretarial positions in Alaska.
In addition to the high correlation coefficient, the r-squared value of 0.9017589 further underscores the robustness of this relationship. This suggests that approximately 90% of the variation in the number of secretaries in Alaska can be explained by changes in the distance between Jupiter and the Sun. The p-value of less than 0.01 indicates a high level of statistical significance, providing compelling evidence to reject the null hypothesis and affirm the presence of a genuine relationship between these seemingly disparate variables.
The scatterplot (Fig. 1) visually depicts the strong correlation between the distance of Jupiter from the Sun and the number of secretaries in Alaska. Each data point in the plot represents a specific year within the designated timeframe, with the x-axis displaying the distance between Jupiter and the Sun, and the y-axis representing the number of secretaries in Alaska. The tightly clustered data points demonstrate a clear and coherent pattern, reinforcing the statistical findings of a substantial connection between these two variables.
This compelling correlation raises intriguing questions about the underlying mechanisms that may link celestial positions with earthly employment dynamics. While the precise causative factors remain uncertain, the findings of this study surely invite both a sense of cosmic curiosity and a gravitational pull toward further exploration of the intricate interplay between celestial phenomena and labor market trends.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, the celestial waltz of Jupiter and the Sun appears to have an unexpectedly choreographed counterpart in the employment tableau of Alaska's secretarial sector. The remarkable correlation coefficient of 0.9496099 and a p-value less than 0.01 for the years 2010 to 2022 serve as celestial breadcrumbs leading us down a curious cosmic trail of employment dynamics. This correlation is as inexplicable as finding a polar bear in a Hawaiian shirt, yet it beckons us to ponder the peculiar cosmic forces at play in earthly endeavors.

While the statistical evidence is as clear as the rings of Saturn, the causative mechanisms underlying this association remain as nebulous as a distant quasar. Perhaps the gravitational pull of Jupiter's majestic presence interacts with the unseen gravitational waves of labor market dynamics, creating ripples that resonate all the way to the Alaskan landscape. Or perchance, this correlation is merely a whimsical alignment of statistical stars, teasing us with its cosmic caprice.

This study, much like a comet streaking across the night sky, leaves a trail of wonder and awe in its wake. It emphasizes the need for further exploration into the celestial symphony of planetary positions and their terrestrial repercussions. As we navigate the cosmic currents in pursuit of knowledge, we must also acknowledge the cosmic absurdity of this peculiar correlation, embracing it with the mirth and whimsy of a cosmic jest.

In light of these findings, we counsel against the pursuit of further research in this area. The cosmos, it seems, has imparted upon us a celestial quirk that may forever elude the grasp of human comprehension. Let us, therefore, bask in the curious charm of this enigmatic connection and relish in the cosmic ballet of Jupiter and Alaska's secretarial statistics.

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 Planetary Paradox: The Celestial Dance of Jupiter and the Surprising Serendipity of Secretaries in Alaska. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Cosmic Coincidences

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 Planetary Paradox: The Celestial Dance of Jupiter and the Surprising Serendipity of Secretaries in Alaska. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Celestial Conundrums and Alaskan Anomalies

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 Planetary Paradox: The Celestial Dance of Jupiter and the Surprising Serendipity of Secretaries in Alaska with an abstract of This study explores the perplexing relationship between the distance of Jupiter from the Sun and the number of secretaries in the remote and enigmatic land of Alaska. Using data sourced from Astropy for the distances between celestial bodies and the Bureau of Labor Statistics for employment figures, our research team delved into this curious correlation.
Despite the vast cosmic chasm that separates Jupiter from the Sun, our analysis revealed a strikingly strong correlation with the number of secretaries in Alaska, with a correlation coefficient of 0.9496099 and p < 0.01 for the years 2010 to 2022. The implications of these findings are as staggering as the celestial distances themselves, leading us to ponder the possible cosmic influence on earthly employment dynamics.
While the cause of this correlation remains shrouded in mystery, our research sheds light on the whimsical and wondrous interplay between planetary positions and earthly occupations. This paper aims to spark further scientific inquiry into the cosmic forces at play in the realm of labor economics, with a touch of celestial humor and a cosmic wink to accompany it.

ChatGPT:

"Jupiter distance from Sun," "correlation between Jupiter distance and employment in Alaska," "relationship between celestial bodies and employment," "astropy data analysis," "Bureau of Labor Statistics Alaska employment," "cosmic influences on employment dynamics," "planetary positions and earthly occupations," "labor economics and celestial forces"

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

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Data details

The distance between Jupiter and the Sun
Detailed data title: The average distance between Jupiter and the Sun as measured on the first day of each month
Source: Caclculated using Astropy
Additional Info: ^{See full details} I wrote a Python script using Astropy to calculate the distance between the named planets on the first day of each month for every year.

See what else correlates with The distance between Jupiter and the Sun

The number of secretaries in Alaska
Detailed data title: BLS estimate of secretaries and administrative assistants, except legal, medical, and executive in Alaska
Source: Bureau of Larbor Statistics
See what else correlates with The number of secretaries in Alaska

Correlation r = 0.9496099 (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 = 0.9017589 (Coefficient of determination)
This means 90.2% of the change in the one variable (i.e., The number of secretaries in Alaska) is predictable based on the change in the other (i.e., The distance between Jupiter and the Sun) over the 13 years from 2010 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 7.04E-7.^Show 0.0000007044919667356533000000
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 0.95 in 7.04E-5% of random cases. Said differently, if you correlated 1,419,463 random variables^Note You don't actually need 1 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 12 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 12 because we have two variables measured over a period of 13 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.

[ 0.84, 0.99 ] 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.

	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021	2022
The distance between Jupiter and the Sun (Planetary distance (AU))	4.97305	4.95401	5.00953	5.12053	5.25217	5.36786	5.43929	5.45028	5.39873	5.29605	5.16633	5.04464	4.96744
The number of secretaries in Alaska (Laborers)	3510	4020	4720	5210	5900	6680	6920	7180	6730	5400	4460	3990	4220

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.
Y-axis doesn't start at zero: I truncated the Y-axes of the graph above. I also used a line graph, which makes the visual connection stand out more than it deserves. ^Note Nothing against line graphs. They are great at telling a story when you have linear data! But visually it is deceptive because the only data is at the points on the graph, not the lines on the graph. In between each point, the data could have been doing anything. Like going for a random walk by itself!
Mathematically what I showed is true, but it is intentionally misleading. Below is the same chart but with both Y-axes starting at zero.

Try it yourself

You can calculate the values on this page on your own! Try running the Python code to see the calculation results. ^{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([4.97305,4.95401,5.00953,5.12053,5.25217,5.36786,5.43929,5.45028,5.39873,5.29605,5.16633,5.04464,4.96744,])
array_2 = np.array([3510,4020,4720,5210,5900,6680,6920,7180,6730,5400,4460,3990,4220,])
array_1_name = "The distance between Jupiter and the Sun"
array_2_name = "The number of secretaries in Alaska"

# 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 The distance between Jupiter and the Sun
Line chart for only The number of secretaries in Alaska
AI-generated correlation image
The spurious research paper: Planetary Paradox: The Celestial Dance of Jupiter and the Surprising Serendipity of Secretaries in Alaska

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Correlation ID: 2733 · Black Variable ID: 1928 · Red Variable ID: 17805


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