Spurious correlation #2,725 · 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 Venus and the second variable is Anheuser-Busch InBev's stock price (BUD). The chart goes from 2010 to 2023, 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 Venus and the second variable is Anheuser-Busch InBev's stock price (BUD). The chart goes from 2010 to 2023, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As the planets moved further apart, gravitational beer waves were strengthened, leading to an uptick in beer consumption and BUD stock prices. Remember, when it comes to stocks, even the stars are drunk on profits!

^{Show image generation prompt} Model: dalle-3
Prompt: "Generate an image of a sci-fi fantasy scene where in the night sky, Jupiter and Venus appear bright and close together, creating the feeling of a celestial alignment. Below this stunning sight, visualize the stock price chart for Anheuser-Busch InBev rising steadily, symbolizing the company's strong performance. Ensure the depiction is simple and free from any words or speech bubbles." 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 Venus and Anheuser-Busch InBev's stock price. 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: Hyper-realistic Realistic 3D Pixar Style Scalar art Sci-fi fantacy
ChatGPT: Sci-fi fantasy

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 Venus and Anheuser-Busch InBev's stock price together. Keep the description simple.
ChatGPT: In the night sky, Jupiter and Venus appear bright and close together, creating the feeling of a celestial alignment. Below this stunning sight, the stock price for Anheuser-Busch InBev rises steadily, symbolizing the company's strong performance.

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: [ Sci-fi fantasy ] and depicting this scene: In the night sky, Jupiter and Venus appear bright and close together, creating the feeling of a celestial alignment. Below this stunning sight, the stock price for Anheuser-Busch InBev rises steadily, symbolizing the company's strong performance. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: "Generate an image of a sci-fi fantasy scene where in the night sky, Jupiter and Venus appear bright and close together, creating the feeling of a celestial alignment. Below this stunning sight, visualize the stock price chart for Anheuser-Busch InBev rising steadily, symbolizing the company's strong performance. Ensure the depiction is simple and free from any words or speech bubbles."

*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 Venus positively influenced Anheuser-Busch InBev's stock price (BUD). Add a funny one-liner at the end.

AI academic paper

(Because p < 0.01)

Planetary Proximity and Stock Prosperity: The Link Between Jupiter-Venus Space and Anheuser-Busch InBev's Market Face

The Cosmic Economics Journal

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 The distance between Jupiter and Venus and Anheuser-Busch InBev's stock price. 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. Perhaps you also got inspiration from some board games that are vaugely related.

Here is the title and abstract of the paper:
[[TITLE]]
Planetary Proximity and Stock Prosperity: The Link Between Jupiter-Venus Space and Anheuser-Busch InBev's Market Face

[[ABSTRACT]]
This study aims to leverage astronomical nuances and corporate maneuvers to investigate the interplay between celestial distances and stock market instances, specifically examining the relationship between the proximity of Jupiter and Venus and the stock price of Anheuser-Busch InBev. Utilizing data gleaned from Astropy and LSEG Analytics (Refinitiv), our research team performed rigorous analysis and uncovered a surprising correlation coefficient of 0.8598594 and a significance level of p < 0.01 for the time period spanning from 2010 to 2023. Our findings unveil an intriguing interstellar influence on financial performance, shedding light on the cosmic forces that may shape market dynamics and elicit celestial cackles from investors and astronomers alike.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The intersection of astronomy and finance may seem like an odd celestial dance, but in the vast expanse of the universe, unexpected connections can often be found. In this study, we delve into the intriguing relationship between the distance between the planets Jupiter and Venus and the stock price of Anheuser-Busch InBev, seeking to unveil whether celestial bodies can truly influence terrestrial profits.
While most financial analyses focus on economic indicators, market trends, and consumer behavior, we boldly venture into the cosmic realm to explore whether the movements of heavenly bodies could have any bearing on the fiscal fortunes of a global beverage giant. As we embark on this cosmic journey, we invite readers to stargaze with us and ponder the astronomical forces that may subtly sway the stock market.
The idea that the orbital dynamics of planets millions of miles away might influence stock prices may initially appear far-fetched, but as astrophysicist Carl Sagan once mused, "Somewhere, something incredible is waiting to be known." And so, armed with an inquisitive spirit and a penchant for unconventional inquiries, we embarked on a mission to unravel the cosmic mysteries that may underpin market volatility.
Our investigation aims to bridge the gap between celestial phenomena and corporate performance, drawing inspiration from the age-old wisdom that "as above, so below." Whether this connection is merely happenstance or harbors cosmic significance remains to be seen. As we set our sights on the vast expanse of the cosmos and the tumultuous terrain of financial markets, we await with bated breath to uncover insights that may astonish even the most seasoned of market analysts and celestial enthusiasts.
So, fasten your seatbelts, and prepare to navigate the celestial highways and the financial byways as we embark on a cosmic odyssey to unearth the secrets that may lie at the nexus of planetary positions and stock prosperity. And who knows, perhaps by the end of this journey, we'll find that the stars aren't just for wishful thinking but may hold the key to unlocking celestial profits.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

The literature review offers a comprehensive overview of the existing research on the correlation between celestial occurrences and financial market outcomes. From scholarly journal articles to economic analyses, the literature presents a spectrum of perspectives on the seemingly unconventional relationship between planetary positions and stock prices. While traditional financial theories may rely on fundamental and technical analyses, the investigation into celestial influences on markets introduces a celestial twist to the world of stock market predictions.

In "Astronomical Forces and Market Influences," Smith and Doe delve into the potential impact of planetary alignments on stock market volatility, providing a nuanced examination of the historical moments when celestial events coincided with significant market movements. Their findings underscore the potential for cosmic phenomena to influence investor sentiment and market dynamics, offering a thought-provoking lens through which to view the ever-fluctuating landscape of financial markets.

The study by Jones et al., "Stellar Constellations and Stock Correlations," takes the analysis a step further by exploring the statistical relationship between the distance of celestial bodies and the performance of select stocks. Their research unveils compelling evidence of a positive correlation between the proximity of certain planets and the stock prices of companies in the beverage industry, marking a pivotal step in unraveling the cosmic mysteries that may shape market outcomes.

Turning to the realm of non-fiction literature, researchers have drawn insights from works such as "Astrophysics for People in a Hurry" by Neil deGrasse Tyson and "The Signal and the Noise: Why So Many Predictions Fail – But Some Don't" by Nate Silver, diving into the intersection of celestial phenomena and predictive analytics in financial markets. While these works provide invaluable frameworks for understanding the intricacies of cosmic influences on market trends, they also invite readers to ponder the whimsical dance of stars and stock tickers.

Venturing into the world of fiction, narratives such as "The Hitchhiker's Guide to the Galaxy" by Douglas Adams and "The Restaurant at the End of the Universe" by the same author offer whimsical accounts of cosmic exploration and the whimsical interplay between the vast expanse of space and the peculiarities of human behavior. While these works may not offer direct insights into the correlation between celestial distances and stock prices, they serve as whimsical reminders of the unfathomable connections that may underpin the universe - and possibly, the stock market.

Moreover, games such as Monopoly and Settlers of Catan, though not explicitly centered on celestial phenomena, often mirror the strategic decision-making and unpredictability inherent in the financial markets. As players navigate the acquisition of properties and resources, they unwittingly engage in market simulations that bear a striking resemblance to the complexities of stock trading, albeit without the celestial intrigue that lies at the heart of our inquiry.

Thus, as we tap into these diverse sources of inspiration, we are reminded that the evolving landscape of financial markets may mirror the boundless wonders of the cosmos, offering a peculiar yet captivating grain of truth in the age-old adage: "As above, so below." Indeed, as we forge ahead with our investigation, we are poised to unlock the cosmic secrets that may echo through the annals of finance and astronomy alike.

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 The distance between Jupiter and Venus and Anheuser-Busch InBev's stock price. 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 Proximity and Stock Prosperity: The Link Between Jupiter-Venus Space and Anheuser-Busch InBev's Market Face

[[ABSTRACT]]
This study aims to leverage astronomical nuances and corporate maneuvers to investigate the interplay between celestial distances and stock market instances, specifically examining the relationship between the proximity of Jupiter and Venus and the stock price of Anheuser-Busch InBev. Utilizing data gleaned from Astropy and LSEG Analytics (Refinitiv), our research team performed rigorous analysis and uncovered a surprising correlation coefficient of 0.8598594 and a significance level of p < 0.01 for the time period spanning from 2010 to 2023. Our findings unveil an intriguing interstellar influence on financial performance, shedding light on the cosmic forces that may shape market dynamics and elicit celestial cackles from investors and astronomers alike.

[[LITERATURE REVIEW]]
The literature review offers a comprehensive overview of the existing research on the correlation between celestial occurrences and financial market outcomes. From scholarly journal articles to economic analyses, the literature presents a spectrum of perspectives on the seemingly unconventional relationship between planetary positions and stock prices. While traditional financial theories may rely on fundamental and technical analyses, the investigation into celestial influences on markets introduces a celestial twist to the world of stock market predictions.
In "Astronomical Forces and Market Influences," Smith and Doe delve into the potential impact of planetary alignments on stock market volatility, providing a nuanced examination of the historical moments when celestial events coincided with significant market movements. Their findings underscore the potential for cosmic phenomena to influence investor sentiment and market dynamics, offering a thought-provoking lens through which to view the ever-fluctuating landscape of financial markets.
The study by Jones et al., "Stellar Constellations and Stock Correlations," takes the analysis a step further by exploring the statistical relationship between the distance of celestial bodies and the performance of select stocks. Their research unveils compelling evidence of a positive correlation between the proximity of certain planets and the stock prices of companies in the beverage industry, marking a pivotal step in unraveling the cosmic mysteries that may shape market outcomes.
Turning to the realm of non-fiction literature, researchers have drawn insights from works such as "Astrophysics for People in a Hurry" by Neil deGrasse Tyson and "The Signal and the Noise: Why So Many Predictions Fail – But Some Don't" by Nate Silver, diving into the intersection of celestial phenomena and predictive analytics in financial markets. While these works provide invaluable frameworks for understanding the intricacies of cosmic influences on market trends, they also invite readers to ponder the whimsical dance of stars and stock tickers.
Venturing into the world of fiction, narratives such as "The Hitchhiker's Guide to the Galaxy" by Douglas Adams and "The Restaurant at the End of the Universe" by the same author offer whimsical accounts of cosmic exploration and the whimsical interplay between the vast expanse of space and the peculiarities of human behavior. While these works may not offer direct insights into the correlation between celestial distances and stock prices, they serve as whimsical reminders of the unfathomable connections that may underpin the universe - and possibly, the stock market.
Moreover, games such as Monopoly and Settlers of Catan, though not explicitly centered on celestial phenomena, often mirror the strategic decision-making and unpredictability inherent in the financial markets. As players navigate the acquisition of properties and resources, they unwittingly engage in market simulations that bear a striking resemblance to the complexities of stock trading, albeit without the celestial intrigue that lies at the heart of our inquiry.
Thus, as we tap into these diverse sources of inspiration, we are reminded that the evolving landscape of financial markets may mirror the boundless wonders of the cosmos, offering a peculiar yet captivating grain of truth in the age-old adage: "As above, so below." Indeed, as we forge ahead with our investigation, we are poised to unlock the cosmic secrets that may echo through the annals of finance and astronomy alike.

[[RESULTS]]
The analysis of the relationship between the distance separating Jupiter and Venus and the stock price of Anheuser-Busch InBev during the period from 2010 to 2023 has yielded some astronomically intriguing findings. Through our extensive data collection and analysis, we revealed a remarkably robust correlation coefficient of 0.8598594, indicating a strong positive association between these seemingly disparate variables. The r-squared value of 0.7393582 further corroborates the substantial influence of planetary proximity on stock prices, suggesting that approximately 74% of the variance in stock prices can be explained by changes in the distance between Jupiter and Venus. Additionally, the significance level of p < 0.01 provides compelling evidence that the observed correlation is not merely a celestial fluke but holds statistical significance.
To visually capture the striking relationship we uncovered, we present Figure 1, a scatterplot that vividly portrays the tight relationship between the distance separating Jupiter and Venus and the corresponding fluctuations in Anheuser-Busch InBev's stock price. It's a sight to behold, almost as mesmerizing as the celestial ballet of the planets themselves.
The implications of these findings extend beyond mere academic curiosity, delving into the realms of cosmic finance and interstellar investment strategies. While some may dismiss the idea of planetary positions influencing stock performance as pure science fiction, our results compel us to recognize the potential impact of cosmic forces on earthly markets. As investment gurus often spout, "the stars have aligned," and in this case, they seem to have aligned quite closely with the stock prices of a beverage behemoth.
In conclusion, our study unveils a celestial connection that may prompt investment bankers and astrologers alike to contemplate the cosmic fingerprints on financial markets. As we continue to explore the expansive interactions between cosmic bodies and corporate endeavors, it's clear that the universe holds more than just astronomical wonders; it might also hold the key to deciphering the celestial conundrums that underpin stock market fluctuations. So, as we peer into the starry abyss, let us embrace the cosmic complexity that may shape financial destiny, for in the vast expanse of the cosmos, there may be more than meets the eye – or the telescope.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The results of our study present a compelling case for the intertwining of celestial mechanics and financial dynamics, shedding light on the enigmatic connection between the distance separating Jupiter and Venus and the stock price of Anheuser-Busch InBev. Our findings echo and extend the insights gleaned from prior research, delving into the celestial teacup to uncover a storm of implications for both the financial and astronomical realms.

The work of Smith and Doe, who delved into the potential impact of planetary alignments on stock market volatility, offers a prescient framework for interpreting our own findings. Their emphasis on celestial events coinciding with significant market movements serves as a celestial overture to our investigation, echoing the orchestral swell of our own discovery that distances in the heavens seem to wield an unprecedented influence on earthly market indices. The seemingly esoteric musings of Jones et al., who unearthed a positive correlation between planetary proximities and the stock prices of beverage companies, further resonate with our own research, harmonizing with our insight that cosmic placements may indeed orchestrate the financial movements of libation behemoths.

Drawing from the realm of whimsical literature, we revisit the interstellar musings of Douglas Adams, whose "Hitchhiker's Guide to the Galaxy" and "The Restaurant at the End of the Universe" offer contemplative reminders of the intertwining of cosmic exploration and human idiosyncrasies. While these narratives may appear whimsical at first glance, they beckon us to consider the vicissitudes of cosmic influence on earthly endeavors, urging us to gaze beyond the mundane and peer into the celestial symphony that may reverberate through market indices. This lighthearted nod to the cosmic may well mirror the underlying gravity of our findings, refracting the weighty implications of celestial positions on the levity of stock prices.

Considering the intersection of board games and market simulations, we revisit the strategic parallels between Monopoly and Settlers of Catan, where players navigate resource acquisition and strategic gambits with an eerie resemblance to the complexities of real-world trading. While these games may not explicitly expose the celestial whimsy that pervades our investigation, they furnish an alternate lens through which to view the intricate dance of financial markets, punctuating the enactment of economic strategy with an unlikely nod to the cosmic carnival that subtly shapes market dynamics.

Upon unraveling the labyrinth of planetary proximities and market ebbs and flows, we embrace the whimsical waltz of celestial alignments and financial flourishes. Our findings not only corroborate, but also amplify the burgeoning discourse on the celestial interplay in financial realms, inviting investment bankers and astrologers alike to ponder the cosmic allegory that may underlie market fluctuations. As we stride forth on this enigmatic astral trail, we find ourselves on the cusp of unveiling celestial truths that may redefine the boundaries of financial foresight.

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 The distance between Jupiter and Venus and Anheuser-Busch InBev's stock price. 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 Proximity and Stock Prosperity: The Link Between Jupiter-Venus Space and Anheuser-Busch InBev's Market Face

[[ABSTRACT]]
This study aims to leverage astronomical nuances and corporate maneuvers to investigate the interplay between celestial distances and stock market instances, specifically examining the relationship between the proximity of Jupiter and Venus and the stock price of Anheuser-Busch InBev. Utilizing data gleaned from Astropy and LSEG Analytics (Refinitiv), our research team performed rigorous analysis and uncovered a surprising correlation coefficient of 0.8598594 and a significance level of p < 0.01 for the time period spanning from 2010 to 2023. Our findings unveil an intriguing interstellar influence on financial performance, shedding light on the cosmic forces that may shape market dynamics and elicit celestial cackles from investors and astronomers alike.

[[INTRDUCTION]]
The intersection of astronomy and finance may seem like an odd celestial dance, but in the vast expanse of the universe, unexpected connections can often be found. In this study, we delve into the intriguing relationship between the distance between the planets Jupiter and Venus and the stock price of Anheuser-Busch InBev, seeking to unveil whether celestial bodies can truly influence terrestrial profits.
While most financial analyses focus on economic indicators, market trends, and consumer behavior, we boldly venture into the cosmic realm to explore whether the movements of heavenly bodies could have any bearing on the fiscal fortunes of a global beverage giant. As we embark on this cosmic journey, we invite readers to stargaze with us and ponder the astronomical forces that may subtly sway the stock market.
The idea that the orbital dynamics of planets millions of miles away might influence stock prices may initially appear far-fetched, but as astrophysicist Carl Sagan once mused, "Somewhere, something incredible is waiting to be known." And so, armed with an inquisitive spirit and a penchant for unconventional inquiries, we embarked on a mission to unravel the cosmic mysteries that may underpin market volatility.
Our investigation aims to bridge the gap between celestial phenomena and corporate performance, drawing inspiration from the age-old wisdom that "as above, so below." Whether this connection is merely happenstance or harbors cosmic significance remains to be seen. As we set our sights on the vast expanse of the cosmos and the tumultuous terrain of financial markets, we await with bated breath to uncover insights that may astonish even the most seasoned of market analysts and celestial enthusiasts.
So, fasten your seatbelts, and prepare to navigate the celestial highways and the financial byways as we embark on a cosmic odyssey to unearth the secrets that may lie at the nexus of planetary positions and stock prosperity. And who knows, perhaps by the end of this journey, we'll find that the stars aren't just for wishful thinking but may hold the key to unlocking celestial profits.

[[RESULTS]]
The analysis of the relationship between the distance separating Jupiter and Venus and the stock price of Anheuser-Busch InBev during the period from 2010 to 2023 has yielded some astronomically intriguing findings. Through our extensive data collection and analysis, we revealed a remarkably robust correlation coefficient of 0.8598594, indicating a strong positive association between these seemingly disparate variables. The r-squared value of 0.7393582 further corroborates the substantial influence of planetary proximity on stock prices, suggesting that approximately 74% of the variance in stock prices can be explained by changes in the distance between Jupiter and Venus. Additionally, the significance level of p < 0.01 provides compelling evidence that the observed correlation is not merely a celestial fluke but holds statistical significance.
To visually capture the striking relationship we uncovered, we present Figure 1, a scatterplot that vividly portrays the tight relationship between the distance separating Jupiter and Venus and the corresponding fluctuations in Anheuser-Busch InBev's stock price. It's a sight to behold, almost as mesmerizing as the celestial ballet of the planets themselves.
The implications of these findings extend beyond mere academic curiosity, delving into the realms of cosmic finance and interstellar investment strategies. While some may dismiss the idea of planetary positions influencing stock performance as pure science fiction, our results compel us to recognize the potential impact of cosmic forces on earthly markets. As investment gurus often spout, "the stars have aligned," and in this case, they seem to have aligned quite closely with the stock prices of a beverage behemoth.
In conclusion, our study unveils a celestial connection that may prompt investment bankers and astrologers alike to contemplate the cosmic fingerprints on financial markets. As we continue to explore the expansive interactions between cosmic bodies and corporate endeavors, it's clear that the universe holds more than just astronomical wonders; it might also hold the key to deciphering the celestial conundrums that underpin stock market fluctuations. So, as we peer into the starry abyss, let us embrace the cosmic complexity that may shape financial destiny, for in the vast expanse of the cosmos, there may be more than meets the eye – or the telescope.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In the illustrious words of the astronomer Galileo, "E pur si muove," or "And yet it moves." Our research has indeed uncovered a remarkable correlation between the distance of Jupiter and Venus and the stock price of Anheuser-Busch InBev, demonstrating that the celestial dance of planets in our solar system may have more terrestrial implications than previously imagined. The stars have aligned, not only in the cosmos but also in the stock market, igniting a celestial cackling of financial proportions.

As we gaze into the depths of space and the depths of economic data, it's clear that this correlation is not merely a cosmic fluke but a statistically significant phenomenon. The implications of these findings are not to be underestimated, stirring up cosmic finance theories and perhaps even prompting investors to consider creating an interstellar investment portfolio.

Like the gravitational pull that shapes the orbits of celestial bodies, our research suggests that the movements of planets can exert a gravitational force on stock prices, swaying them in a celestial symphony of financial flux. It seems that the phrase "buy low, sell high" might just need a cosmic adjustment to "buy when Jupiter and Venus draw near, sell when they drift apart."

In this cosmic odyssey, we've delved into the realms of astro-economics, uncovering a celestial connection that challenges conventional notions of market analysis. It's not just about reading the financial news; it's about reading the constellations too. And so, as we conclude this foray into the celestial mysteries of stock prosperity, it's safe to say that the universe holds more than just stellar wonders – it may also hold the secret to unlocking celestial profits.

In accordance with the sage advice of the great astronomer Carl Sagan, we assert that no more research is needed in this area. As for the intersection of planetary positions and stock prices, our findings stand as a testament to the unexpected interplay between cosmic phenomena and market dynamics – a cosmic delight for investors and astronomers alike.

In the words of the great celestial market analyst in the sky, "May your portfolio be as expansive as the universe itself!"

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 Proximity and Stock Prosperity: The Link Between Jupiter-Venus Space and Anheuser-Busch InBev's Market Face. Respond only with the name of a fictional academic journal.

ChatGPT:

The Cosmic Economics Journal

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 Proximity and Stock Prosperity: The Link Between Jupiter-Venus Space and Anheuser-Busch InBev's Market Face. Respond only with the name of a fictional organization.

ChatGPT:

The Interplanetary Beverage Economics Research Institute

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 Proximity and Stock Prosperity: The Link Between Jupiter-Venus Space and Anheuser-Busch InBev's Market Face with an abstract of This study aims to leverage astronomical nuances and corporate maneuvers to investigate the interplay between celestial distances and stock market instances, specifically examining the relationship between the proximity of Jupiter and Venus and the stock price of Anheuser-Busch InBev. Utilizing data gleaned from Astropy and LSEG Analytics (Refinitiv), our research team performed rigorous analysis and uncovered a surprising correlation coefficient of 0.8598594 and a significance level of p < 0.01 for the time period spanning from 2010 to 2023. Our findings unveil an intriguing interstellar influence on financial performance, shedding light on the cosmic forces that may shape market dynamics and elicit celestial cackles from investors and astronomers alike.

ChatGPT:

Jupiter, Venus, celestial proximity, stock market, Anheuser-Busch InBev, stock price, correlation coefficient, market dynamics, financial performance, astronomical data analysis, Astropy, LSEG Analytics, Refinitiv, interstellar influence, cosmic forces, market instances, investment, astronomical nuances.

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

Random correlation

Discover a new correlation

View all correlations

View all research papers

Report an error

Data details

The distance between Jupiter and Venus
Detailed data title: The average distance between Jupiter and Venus 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 Venus

Anheuser-Busch InBev's stock price (BUD)
Detailed data title: Opening price of Anheuser-Busch InBev (BUD) on the first trading day of the year
Source: LSEG Analytics (Refinitiv)
Additional Info: ^{See full details} Via Microsoft Excel Stockhistory function

See what else correlates with Anheuser-Busch InBev's stock price (BUD)

Correlation r = 0.8598594 (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 = 0.7393582 (Coefficient of determination)
This means 73.9% of the change in the one variable (i.e., Anheuser-Busch InBev's stock price (BUD)) is predictable based on the change in the other (i.e., The distance between Jupiter and Venus) over the 14 years from 2010 through 2023.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 8.031E-5.^Show 0.0000803062773462993400000000
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 0.86 in 0.008031% of random cases. Said differently, if you correlated 12,452 random variables^Note Which I absolutely did.
with the same 13 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 13 because we have two variables measured over a period of 14 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.

[ 0.61, 0.95 ] 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	2023
The distance between Jupiter and Venus (Planetary distance (AU))	4.84064	5.12213	4.91326	5.25191	5.21611	5.42545	5.48817	5.40954	5.52663	5.18382	5.33351	4.90715	5.14356	4.83881
Anheuser-Busch InBev's stock price (BUD) (Stock price)	53.32	57.63	61.48	88.28	103.67	112.3	122.58	104.78	111.97	65.15	82.76	71.78	62.43	60.31

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([4.84064,5.12213,4.91326,5.25191,5.21611,5.42545,5.48817,5.40954,5.52663,5.18382,5.33351,4.90715,5.14356,4.83881,])
array_2 = np.array([53.32,57.63,61.48,88.28,103.67,112.3,122.58,104.78,111.97,65.15,82.76,71.78,62.43,60.31,])
array_1_name = "The distance between Jupiter and Venus"
array_2_name = "Anheuser-Busch InBev's stock price (BUD)"

# 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 Venus
Line chart for only Anheuser-Busch InBev's stock price (BUD)
AI-generated correlation image
The spurious research paper: Planetary Proximity and Stock Prosperity: The Link Between Jupiter-Venus Space and Anheuser-Busch InBev's Market Face

View another random correlation

How fun was this correlation?

You're the rating guru we've been waiting for!

Correlation ID: 2725 · Black Variable ID: 1968 · Red Variable ID: 1623


Problem variable:
Issue:
Additional details: Optional
Confirm you are a human: