Spurious correlation #3,730 · 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 Neptune and Uranus and the second variable is Southern Copper's stock price (SCCO). The chart goes from 2002 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 Neptune and Uranus and the second variable is Southern Copper's stock price (SCCO). The chart goes from 2002 to 2023, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As the gap widened, gravitational fluctuations inadvertently boosted demand for copper, leading to a spike in Southern Copper's stock price. It seems even celestial bodies can't resist the allure of a good conductor!

^{Show image generation prompt} Model: dalle-3
Prompt: Generate an image of the planets Neptune and Uranus gracefully drifting apart in outer space, with a deep, dark background highlighting the vastness of the universe. The planets should appear serene and majestic as they slowly move away from each other, creating a sense of distant beauty and tranquility. Additionally, visualize a stock price chart of Southern Copper (SCCO) steadily ascending, depicted as a vibrant, colorful helium balloon soaring freely, untouched by external forces, reminiscent of a carefree atmosphere at a children's party. The scene should evoke a feeling of calm expansiveness and the unyielding rise of the market. 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 Neptune and Uranus and Southern Copper's stock price (SCCO). 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: a meme Surrealism High-tech Low poly Celtic art
ChatGPT: High-tech

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 Neptune and Uranus and Southern Copper's stock price (SCCO), in the following situation: Because as Neptune and Uranus drift apart, their gravitational pull diminishes, allowing Southern Copper's stock to rise unchecked, like a helium balloon at a kids' party!. Keep the description simple.
ChatGPT: Imagine the planets Neptune and Uranus slowly drifting away from each other in the vast darkness of space. As they move further apart, their gravitational pull weakens, creating a sense of distant serenity. At the same time, picture a stock price chart of Southern Copper (SCCO) steadily climbing upward, resembling a bright, colorful helium balloon soaring freely at a children's party, unaffected by any external forces.

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: [ High-tech ] and depicting this scene: Imagine the planets Neptune and Uranus slowly drifting away from each other in the vast darkness of space. As they move further apart, their gravitational pull weakens, creating a sense of distant serenity. At the same time, picture a stock price chart of Southern Copper (SCCO) steadily climbing upward, resembling a bright, colorful helium balloon soaring freely at a children's party, unaffected by any external forces. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of the planets Neptune and Uranus gracefully drifting apart in outer space, with a deep, dark background highlighting the vastness of the universe. The planets should appear serene and majestic as they slowly move away from each other, creating a sense of distant beauty and tranquility. Additionally, visualize a stock price chart of Southern Copper (SCCO) steadily ascending, depicted as a vibrant, colorful helium balloon soaring freely, untouched by external forces, reminiscent of a carefree atmosphere at a children's party. The scene should evoke a feeling of calm expansiveness and the unyielding rise of the market.

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

I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.
^{Show prompt for explanation} Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in The distance between Neptune and Uranus caused Southern Copper's stock price (SCCO) to increase. Add a funny one-liner at the end.

AI academic paper

(Because p < 0.01)

Neptune's Space and Uranus' Place: The Case of the Southern Copper's Stock Price

The Journal of Planetary Finance & Galactic Economics

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 Neptune and Uranus and Southern Copper's stock price (SCCO). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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 devolve ever further, and mention something completely ridiculous, like you conducted literature review by reading the backs of shampoo bottles.

Here is the title and abstract of the paper:
[[TITLE]]
Neptune's Space and Uranus' Place: The Case of the Southern Copper's Stock Price

[[ABSTRACT]]
The relationship between the distance between Neptune and Uranus and the stock price of Southern Copper (SCCO) has long been a matter of cosmic curiosity. Utilizing data from Astropy and LSEG Analytics (Refinitiv), we set out to explore this celestial connection that might seem light years away from the world of finance. Our research team sought to answer the burning question: "Does the astronomical distance impact the earthly stock price?"

The results of our analysis revealed a surprising correlation coefficient of 0.8554040 and p < 0.01 for the time period spanning from 2002 to 2023. Despite the vast cosmic expanse, it appears that there is a significant relationship between the celestial bodies and the earthly wealth measured by Southern Copper's stock price. This finding prompts us to consider the celestial bodies as silent, distant influencers of financial markets.

Now, for a cosmic dad joke to lighten the atmosphere: Why did the stock trader bring a telescope to work? Because he wanted to keep an 'i' on the celestial bodies, and also look for stocks with "star" potential!

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The mysterious forces of the cosmos have long captivated the human imagination and sparked countless inquiries into their potential influence on earthly affairs. Straddling the realms of astronomy and finance, the relationship between the celestial bodies and stock prices has been an enigma that has eluded thorough exploration. This paper delves into the peculiar correlation between the distance separating Neptune and Uranus and the stock price of Southern Copper (SCCO), aiming to shed light on this celestial conundrum.
As we embark on this astronomical journey, we must acknowledge the cosmic scale of our investigation. The vast expanse between Neptune and Uranus presents a challenge akin to navigating the labyrinthine complexities of financial markets. One might jest that it is as if we are attempting to compare apples and oranges, or more aptly in this case, gas giants and copper stocks.
Amidst this cosmic juxtaposition, however, lies the crux of our endeavor. The financial world, often viewed as grounded in empirical data and economic models, finds itself intertwined with the distant dance of the planets in our solar system. It is as if the heavens are silently communicating with the ticker symbols on trading screens—a notion that may seem out of this world, yet one that merits our careful attention.
Now, a celestial-themed interlude for a moment of levity: What did the astronomer say to the stockbroker? "I'll trade you some moon rocks for shares of Southern Copper – they're both out of this world!"
This juxtaposition of the financial and astronomical worlds piques our curiosity and compels us to delve into the underlying mechanisms that might underpin such an improbable relationship. The findings of this study promise to illuminate a hitherto unexplored dimension of stock price determination, offering a glimpse of the cosmic symphony that may reverberate through the markets.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

The existing literature on the relationship between celestial bodies and stock prices has been relatively scant, with most studies focusing on more earthly factors. Smith et al. (2015) examined the impact of solar flares on stock market volatility and found a modest correlation, while Doe and Jones (2017) explored the influence of lunar phases on trading volumes, yielding inconclusive results. However, these studies have not delved into the specific dynamic between the distance separating Neptune and Uranus and the stock price of Southern Copper (SCCO).

Turning to relevant non-fiction works, "Cosmic Connections: How the Universe Affects Our Daily Lives" by Cosmos et al. presents a broad exploration of celestial influences on terrestrial phenomena, offering insights that may inform our investigation. Similarly, "Astrology and Economics: A Celestial Approach to Financial Markets" by Zodiac and Finance delves into the potential cosmic forces at play in economic systems, albeit from a non-mainstream perspective.

Now, veering into the realm of fiction, one cannot overlook the classic work of science fiction, "Neptune's Wealth and Uranus' Markets" by Sci-Fi Author, which presents an imaginative portrayal of intergalactic financial systems. Additionally, "The Copper Constellation: A Celestial Adventure in Finance" by Finance Fiction Writer weaves a narrative that, though fictional, may shed metaphorical light on our real-world inquiry.

In the course of this literature review, the researchers embraced unconventional sources of knowledge, including the backs of shampoo bottles and fortune cookies, in a daring attempt to unearth any hidden cosmic insights. While these sources did not yield significant empirical findings, they did offer a refreshing departure from traditional academic references and provided moments of levity during the research process.

Now, a celestial-themed pun to round off the literature review: Why did the stock trader bring a map of the solar system to the conference? Because he heard that the market was 'over the moon' about celestial investments!

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 Neptune and Uranus and Southern Copper's stock price (SCCO). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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 LSEG Analytics (Refinitiv) . You used data from 2002 to 2023

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]]
Neptune's Space and Uranus' Place: The Case of the Southern Copper's Stock Price

[[ABSTRACT]]
The relationship between the distance between Neptune and Uranus and the stock price of Southern Copper (SCCO) has long been a matter of cosmic curiosity. Utilizing data from Astropy and LSEG Analytics (Refinitiv), we set out to explore this celestial connection that might seem light years away from the world of finance. Our research team sought to answer the burning question: "Does the astronomical distance impact the earthly stock price?"

The results of our analysis revealed a surprising correlation coefficient of 0.8554040 and p < 0.01 for the time period spanning from 2002 to 2023. Despite the vast cosmic expanse, it appears that there is a significant relationship between the celestial bodies and the earthly wealth measured by Southern Copper's stock price. This finding prompts us to consider the celestial bodies as silent, distant influencers of financial markets.

Now, for a cosmic dad joke to lighten the atmosphere: Why did the stock trader bring a telescope to work? Because he wanted to keep an 'i' on the celestial bodies, and also look for stocks with "star" potential!

[[INTRODUCTION]]
The mysterious forces of the cosmos have long captivated the human imagination and sparked countless inquiries into their potential influence on earthly affairs. Straddling the realms of astronomy and finance, the relationship between the celestial bodies and stock prices has been an enigma that has eluded thorough exploration. This paper delves into the peculiar correlation between the distance separating Neptune and Uranus and the stock price of Southern Copper (SCCO), aiming to shed light on this celestial conundrum.
As we embark on this astronomical journey, we must acknowledge the cosmic scale of our investigation. The vast expanse between Neptune and Uranus presents a challenge akin to navigating the labyrinthine complexities of financial markets. One might jest that it is as if we are attempting to compare apples and oranges, or more aptly in this case, gas giants and copper stocks.
Amidst this cosmic juxtaposition, however, lies the crux of our endeavor. The financial world, often viewed as grounded in empirical data and economic models, finds itself intertwined with the distant dance of the planets in our solar system. It is as if the heavens are silently communicating with the ticker symbols on trading screens—a notion that may seem out of this world, yet one that merits our careful attention.
Now, a celestial-themed interlude for a moment of levity: What did the astronomer say to the stockbroker? "I'll trade you some moon rocks for shares of Southern Copper – they're both out of this world!"
This juxtaposition of the financial and astronomical worlds piques our curiosity and compels us to delve into the underlying mechanisms that might underpin such an improbable relationship. The findings of this study promise to illuminate a hitherto unexplored dimension of stock price determination, offering a glimpse of the cosmic symphony that may reverberate through the markets.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

To investigate the purported relationship between the distance separating Neptune and Uranus and the stock price of Southern Copper (SCCO), a meticulous research approach was employed. Data pertaining to the daily distance between the two celestial bodies was obtained from reputable astronomical databases and ephemeris calculations, primarily utilizing Astropy. On the financial front, Southern Copper's daily stock prices and relevant market indicators were sourced from LSEG Analytics (Refinitiv).

Utilizing the acquired data spanning the period from 2002 to 2023, astral and economic metrics were subjected to rigorous analysis. The nightly observations of Neptune and Uranus were transformed into time-series data, aligning them with the corresponding financial data. This harmonization process aimed to capture any latent associations that may transcend the realms of astronomy and finance. It was as if we were deciphering the constellations of data to ascertain their celestial and financial harmony.

As the data assimilation and merging process progressed, statistical methodologies such as correlation analysis, regression modeling, and time series analysis were employed to scrutinize the relationship between the distance separating Neptune and Uranus and Southern Copper's stock price. This multifaceted approach enabled the extraction of insights from both the celestial and financial domains, unraveling potential links that may have previously eluded observation. It was akin to charting the movements of celestial bodies and market trends, seeking to discern patterns that transcend the ordinary.

In light of the voluminous and variegated data at our disposal, the research team utilized sophisticated statistical software, robust econometric models, and astronomy-specific algorithms. The interplay of astronomy and finance necessitated a fusion of analytical tools and techniques, yielding a comprehensive understanding of the celestial and market forces at play. It was a cosmic puzzle demanding an ingenious blend of financial acumen and astronomical precision, akin to navigating the complexities of lunar phases and stock fluctuations.

As the analysis proceeded, due diligence was exercised to account for potential confounding variables and spurious correlations. Robustness checks and sensitivity analyses were conducted to ensure the veracity and reliability of the identified relationships. It was imperative to safeguard against celestial coincidences masquerading as financial influences, akin to distinguishing a shooting star from a transient market anomaly.

Now, for a cosmic dad joke to lighten the atmosphere: Why did the alien invest in Southern Copper? Because they heard it had "out of this world" returns, and they wanted to diversify their "intergalactic" portfolio!

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 results section of an academic research paper. You speak in the past tense (you found...).
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the results section of an academic research paper presenting the findings of the connection between The distance between Neptune and Uranus and Southern Copper's stock price (SCCO). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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 LSEG Analytics (Refinitiv) .

For the time period 2002 to 2023, you found a correlation 0.8554040, r-squared of 0.7317161, and p < 0.01.

One figure will be included. The figure (Fig. 1) is a scatterplot showing the strong correlation between the two variables. You don't need to specify where; I will add the figure.

Here is the title and abstract of the paper:
[[TITLE]]
Neptune's Space and Uranus' Place: The Case of the Southern Copper's Stock Price

[[ABSTRACT]]
The relationship between the distance between Neptune and Uranus and the stock price of Southern Copper (SCCO) has long been a matter of cosmic curiosity. Utilizing data from Astropy and LSEG Analytics (Refinitiv), we set out to explore this celestial connection that might seem light years away from the world of finance. Our research team sought to answer the burning question: "Does the astronomical distance impact the earthly stock price?"

The results of our analysis revealed a surprising correlation coefficient of 0.8554040 and p < 0.01 for the time period spanning from 2002 to 2023. Despite the vast cosmic expanse, it appears that there is a significant relationship between the celestial bodies and the earthly wealth measured by Southern Copper's stock price. This finding prompts us to consider the celestial bodies as silent, distant influencers of financial markets.

Now, for a cosmic dad joke to lighten the atmosphere: Why did the stock trader bring a telescope to work? Because he wanted to keep an 'i' on the celestial bodies, and also look for stocks with "star" potential!

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The mysterious forces of the cosmos have long captivated the human imagination and sparked countless inquiries into their potential influence on earthly affairs. Straddling the realms of astronomy and finance, the relationship between the celestial bodies and stock prices has been an enigma that has eluded thorough exploration. This paper delves into the peculiar correlation between the distance separating Neptune and Uranus and the stock price of Southern Copper (SCCO), aiming to shed light on this celestial conundrum.
As we embark on this astronomical journey, we must acknowledge the cosmic scale of our investigation. The vast expanse between Neptune and Uranus presents a challenge akin to navigating the labyrinthine complexities of financial markets. One might jest that it is as if we are attempting to compare apples and oranges, or more aptly in this case, gas giants and copper stocks.
Amidst this cosmic juxtaposition, however, lies the crux of our endeavor. The financial world, often viewed as grounded in empirical data and economic models, finds itself intertwined with the distant dance of the planets in our solar system. It is as if the heavens are silently communicating with the ticker symbols on trading screens—a notion that may seem out of this world, yet one that merits our careful attention.
Now, a celestial-themed interlude for a moment of levity: What did the astronomer say to the stockbroker? "I'll trade you some moon rocks for shares of Southern Copper – they're both out of this world!"
This juxtaposition of the financial and astronomical worlds piques our curiosity and compels us to delve into the underlying mechanisms that might underpin such an improbable relationship. The findings of this study promise to illuminate a hitherto unexplored dimension of stock price determination, offering a glimpse of the cosmic symphony that may reverberate through the markets.

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

The statistical analysis conducted on the relationship between the distance separating Neptune and Uranus and the stock price of Southern Copper (SCCO) revealed a remarkably strong correlation coefficient of 0.8554040. This high correlation suggests a substantial association between the celestial positions of Neptune and Uranus and the earthly fortunes of Southern Copper.

To put it simply, the farther these two distant gas giants are from each other, the more likely it is for Southern Copper's stock price to move in a particular direction. This cosmic connection may seem light years away from traditional financial analysis, but our findings emphasize the need to consider the celestial ballet as a silent, distant influencer of financial markets.

The r-squared value of 0.7317161 further supports the significance of this relationship, indicating that 73.17% of the variation in Southern Copper's stock price can be explained by the distance between Neptune and Uranus. This substantial proportion of explained variance underscores the impact of cosmic movements on the earthly domain of stock prices.

It seems that the cosmic dance of the gas giants could hold secrets that extend far beyond the boundaries of our atmosphere and could potentially reach into the realm of financial markets. One might even say it's a stock market "beyond the stars".

The p-value of less than 0.01 strengthens the robustness of these findings, providing compelling evidence against the null hypothesis of no relationship between the celestial distance and Southern Copper's stock price. The rejection of the null hypothesis thus highlights the unlikely yet tangible connection between the movements of planets and the movement of stock prices, adding a celestial flair to the age-old concept of supply and demand.

In conclusion, the results of our analysis present a compelling case for the influence of cosmic mechanics on the dynamics of financial markets. For those skeptical of this cosmic connection, one must remember the words of Isaac Newton, "What goes up must come down." Whether in the context of celestial bodies or stock prices, the laws of gravity and finance seem to hold true, albeit in rather unexpected ways.

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 Neptune and Uranus and Southern Copper's stock price (SCCO). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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]]
Neptune's Space and Uranus' Place: The Case of the Southern Copper's Stock Price

[[ABSTRACT]]
The relationship between the distance between Neptune and Uranus and the stock price of Southern Copper (SCCO) has long been a matter of cosmic curiosity. Utilizing data from Astropy and LSEG Analytics (Refinitiv), we set out to explore this celestial connection that might seem light years away from the world of finance. Our research team sought to answer the burning question: "Does the astronomical distance impact the earthly stock price?"

The results of our analysis revealed a surprising correlation coefficient of 0.8554040 and p < 0.01 for the time period spanning from 2002 to 2023. Despite the vast cosmic expanse, it appears that there is a significant relationship between the celestial bodies and the earthly wealth measured by Southern Copper's stock price. This finding prompts us to consider the celestial bodies as silent, distant influencers of financial markets.

Now, for a cosmic dad joke to lighten the atmosphere: Why did the stock trader bring a telescope to work? Because he wanted to keep an 'i' on the celestial bodies, and also look for stocks with "star" potential!

[[LITERATURE REVIEW]]
The existing literature on the relationship between celestial bodies and stock prices has been relatively scant, with most studies focusing on more earthly factors. Smith et al. (2015) examined the impact of solar flares on stock market volatility and found a modest correlation, while Doe and Jones (2017) explored the influence of lunar phases on trading volumes, yielding inconclusive results. However, these studies have not delved into the specific dynamic between the distance separating Neptune and Uranus and the stock price of Southern Copper (SCCO).
Turning to relevant non-fiction works, "Cosmic Connections: How the Universe Affects Our Daily Lives" by Cosmos et al. presents a broad exploration of celestial influences on terrestrial phenomena, offering insights that may inform our investigation. Similarly, "Astrology and Economics: A Celestial Approach to Financial Markets" by Zodiac and Finance delves into the potential cosmic forces at play in economic systems, albeit from a non-mainstream perspective.
Now, veering into the realm of fiction, one cannot overlook the classic work of science fiction, "Neptune's Wealth and Uranus' Markets" by Sci-Fi Author, which presents an imaginative portrayal of intergalactic financial systems. Additionally, "The Copper Constellation: A Celestial Adventure in Finance" by Finance Fiction Writer weaves a narrative that, though fictional, may shed metaphorical light on our real-world inquiry.
In the course of this literature review, the researchers embraced unconventional sources of knowledge, including the backs of shampoo bottles and fortune cookies, in a daring attempt to unearth any hidden cosmic insights. While these sources did not yield significant empirical findings, they did offer a refreshing departure from traditional academic references and provided moments of levity during the research process.
Now, a celestial-themed pun to round off the literature review: Why did the stock trader bring a map of the solar system to the conference? Because he heard that the market was 'over the moon' about celestial investments!

[[RESULTS]]
The statistical analysis conducted on the relationship between the distance separating Neptune and Uranus and the stock price of Southern Copper (SCCO) revealed a remarkably strong correlation coefficient of 0.8554040. This high correlation suggests a substantial association between the celestial positions of Neptune and Uranus and the earthly fortunes of Southern Copper.
To put it simply, the farther these two distant gas giants are from each other, the more likely it is for Southern Copper's stock price to move in a particular direction. This cosmic connection may seem light years away from traditional financial analysis, but our findings emphasize the need to consider the celestial ballet as a silent, distant influencer of financial markets.
The r-squared value of 0.7317161 further supports the significance of this relationship, indicating that 73.17% of the variation in Southern Copper's stock price can be explained by the distance between Neptune and Uranus. This substantial proportion of explained variance underscores the impact of cosmic movements on the earthly domain of stock prices.
It seems that the cosmic dance of the gas giants could hold secrets that extend far beyond the boundaries of our atmosphere and could potentially reach into the realm of financial markets. One might even say it's a stock market "beyond the stars".
The p-value of less than 0.01 strengthens the robustness of these findings, providing compelling evidence against the null hypothesis of no relationship between the celestial distance and Southern Copper's stock price. The rejection of the null hypothesis thus highlights the unlikely yet tangible connection between the movements of planets and the movement of stock prices, adding a celestial flair to the age-old concept of supply and demand.
In conclusion, the results of our analysis present a compelling case for the influence of cosmic mechanics on the dynamics of financial markets. For those skeptical of this cosmic connection, one must remember the words of Isaac Newton, "What goes up must come down." Whether in the context of celestial bodies or stock prices, the laws of gravity and finance seem to hold true, albeit in rather unexpected ways.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The results of our study remarkably support the hypothesis that there is indeed a significant relationship between the distance separating Neptune and Uranus and the stock price of Southern Copper (SCCO). This finding resonates with the body of research that has explored the potential influence of celestial phenomena on financial markets. The strong correlation coefficient and the high percentage of explained variance attest to the substantive impact of the celestial dance of these distant gas giants on the earthly fortunes of Southern Copper.

Our results align with the pioneering work of Smith et al. (2015) on solar flares and stock market volatility, drawing parallels between the impact of solar activities and the gravitational tugs between celestial bodies. Similarly, by corroborating the inconclusive findings of Doe and Jones (2017) on lunar phases and trading volumes, our study reinforces the notion that celestial events may indeed exert discernible effects on financial indicators. While our research specifically focuses on the distance between Neptune and Uranus, the broader exploration of celestial influences in financial markets has been a star-studded journey, so to speak, with our findings adding another celestial body to this constellation of evidence.

Our findings support the unconventional insights presented in "Cosmic Connections: How the Universe Affects Our Daily Lives" by Cosmos et al. The substantial correlation we observed underscores the potential impacts of celestial bodies on terrestrial phenomena, offering empirical evidence in support of this intriguing cosmic connection. Moreover, our results lend credence to the celestial approach to financial markets advocated in "Astrology and Economics: A Celestial Approach to Financial Markets" by Zodiac and Finance, affirming the value of considering cosmic forces in economic analyses.

On a lighter note, while our endeavor might seem light-hearted at times, the statistical rigor and empirical support for these cosmic connections highlight the potential value of reimagining financial analyses through a celestial lens. After all, as the old saying goes, "When the stars align, so do the stock prices!"

In conclusion, our findings add a new dimension to the age-old adage of "buying low and selling high," suggesting that perhaps the key to successful investing lies not only in earthly indicators but also in the silent movements of the celestial bodies. This study paves the way for further research that integrates cosmic phenomena into financial models, demonstrating that the influence of the cosmos may reach far beyond what meets the eye. As researchers continue to navigate the galaxies of academia, it is our hope that future studies will further illuminate the cosmic interplay at the intersection of finance and celestial movements.

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 Neptune and Uranus and Southern Copper's stock price (SCCO). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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]]
Neptune's Space and Uranus' Place: The Case of the Southern Copper's Stock Price

[[ABSTRACT]]
The relationship between the distance between Neptune and Uranus and the stock price of Southern Copper (SCCO) has long been a matter of cosmic curiosity. Utilizing data from Astropy and LSEG Analytics (Refinitiv), we set out to explore this celestial connection that might seem light years away from the world of finance. Our research team sought to answer the burning question: "Does the astronomical distance impact the earthly stock price?"

The results of our analysis revealed a surprising correlation coefficient of 0.8554040 and p < 0.01 for the time period spanning from 2002 to 2023. Despite the vast cosmic expanse, it appears that there is a significant relationship between the celestial bodies and the earthly wealth measured by Southern Copper's stock price. This finding prompts us to consider the celestial bodies as silent, distant influencers of financial markets.

Now, for a cosmic dad joke to lighten the atmosphere: Why did the stock trader bring a telescope to work? Because he wanted to keep an 'i' on the celestial bodies, and also look for stocks with "star" potential!

[[INTRDUCTION]]
The mysterious forces of the cosmos have long captivated the human imagination and sparked countless inquiries into their potential influence on earthly affairs. Straddling the realms of astronomy and finance, the relationship between the celestial bodies and stock prices has been an enigma that has eluded thorough exploration. This paper delves into the peculiar correlation between the distance separating Neptune and Uranus and the stock price of Southern Copper (SCCO), aiming to shed light on this celestial conundrum.
As we embark on this astronomical journey, we must acknowledge the cosmic scale of our investigation. The vast expanse between Neptune and Uranus presents a challenge akin to navigating the labyrinthine complexities of financial markets. One might jest that it is as if we are attempting to compare apples and oranges, or more aptly in this case, gas giants and copper stocks.
Amidst this cosmic juxtaposition, however, lies the crux of our endeavor. The financial world, often viewed as grounded in empirical data and economic models, finds itself intertwined with the distant dance of the planets in our solar system. It is as if the heavens are silently communicating with the ticker symbols on trading screens—a notion that may seem out of this world, yet one that merits our careful attention.
Now, a celestial-themed interlude for a moment of levity: What did the astronomer say to the stockbroker? "I'll trade you some moon rocks for shares of Southern Copper – they're both out of this world!"
This juxtaposition of the financial and astronomical worlds piques our curiosity and compels us to delve into the underlying mechanisms that might underpin such an improbable relationship. The findings of this study promise to illuminate a hitherto unexplored dimension of stock price determination, offering a glimpse of the cosmic symphony that may reverberate through the markets.

[[RESULTS]]
The statistical analysis conducted on the relationship between the distance separating Neptune and Uranus and the stock price of Southern Copper (SCCO) revealed a remarkably strong correlation coefficient of 0.8554040. This high correlation suggests a substantial association between the celestial positions of Neptune and Uranus and the earthly fortunes of Southern Copper.
To put it simply, the farther these two distant gas giants are from each other, the more likely it is for Southern Copper's stock price to move in a particular direction. This cosmic connection may seem light years away from traditional financial analysis, but our findings emphasize the need to consider the celestial ballet as a silent, distant influencer of financial markets.
The r-squared value of 0.7317161 further supports the significance of this relationship, indicating that 73.17% of the variation in Southern Copper's stock price can be explained by the distance between Neptune and Uranus. This substantial proportion of explained variance underscores the impact of cosmic movements on the earthly domain of stock prices.
It seems that the cosmic dance of the gas giants could hold secrets that extend far beyond the boundaries of our atmosphere and could potentially reach into the realm of financial markets. One might even say it's a stock market "beyond the stars".
The p-value of less than 0.01 strengthens the robustness of these findings, providing compelling evidence against the null hypothesis of no relationship between the celestial distance and Southern Copper's stock price. The rejection of the null hypothesis thus highlights the unlikely yet tangible connection between the movements of planets and the movement of stock prices, adding a celestial flair to the age-old concept of supply and demand.
In conclusion, the results of our analysis present a compelling case for the influence of cosmic mechanics on the dynamics of financial markets. For those skeptical of this cosmic connection, one must remember the words of Isaac Newton, "What goes up must come down." Whether in the context of celestial bodies or stock prices, the laws of gravity and finance seem to hold true, albeit in rather unexpected ways.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our investigation has uncovered a significant and robust correlation between the distance separating Neptune and Uranus and the stock price of Southern Copper (SCCO). It appears that the movements of these distant gas giants have a notable influence on earthly financial markets. One might say that the stock prices are truly "out of this world" in their responsiveness to celestial positions.

Our findings not only suggest a strong relationship but also raise the question of causality. While correlation does not imply causation, the strong statistical association begs the consideration of potential mechanisms underlying this cosmic financial influence. It seems the planets might have a knack for predicting stock trends, making them the original "market analysts"!

The profound implications of these results extend beyond the realm of finance, challenging traditional economic models that often neglect cosmic variables. As we ponder the gravity of these findings, one cannot help but marvel at the cosmic ballet's underlying impact on the financial stage – a performance worthy of a standing ovation, or perhaps a "stock trading to the moon" chant.

In light of our celestial revelations, it is clear that further research is warranted to deepen our understanding of this cosmic-financial relationship. However, as the saying goes, "The planets have aligned," and no further research is needed in this area.

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 Neptune's Space and Uranus' Place: The Case of the Southern Copper's Stock Price. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Planetary Finance & Galactic Economics

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 Neptune's Space and Uranus' Place: The Case of the Southern Copper's Stock Price. Respond only with the name of a fictional organization.

ChatGPT:

The Association for Planetary Economics and Financial Analysis

Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled Neptune's Space and Uranus' Place: The Case of the Southern Copper's Stock Price with an abstract of The relationship between the distance between Neptune and Uranus and the stock price of Southern Copper (SCCO) has long been a matter of cosmic curiosity. Utilizing data from Astropy and LSEG Analytics (Refinitiv), we set out to explore this celestial connection that might seem light years away from the world of finance. Our research team sought to answer the burning question: "Does the astronomical distance impact the earthly stock price?"
The results of our analysis revealed a surprising correlation coefficient of 0.8554040 and p < 0.01 for the time period spanning from 2002 to 2023. Despite the vast cosmic expanse, it appears that there is a significant relationship between the celestial bodies and the earthly wealth measured by Southern Copper's stock price. This finding prompts us to consider the celestial bodies as silent, distant influencers of financial markets.
Now, for a cosmic dad joke to lighten the atmosphere: Why did the stock trader bring a telescope to work? Because he wanted to keep an 'i' on the celestial bodies, and also look for stocks with "star" potential!

ChatGPT:

Neptune, Uranus, Southern Copper stock price, Astropy, LSEG Analytics, Refinitiv, celestial influence on stock price, correlation coefficient, financial markets, astronomical distance, cosmic influence, stock trader, dad joke

*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 Neptune and Uranus
Detailed data title: The average distance between Neptune and Uranus 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 Neptune and Uranus

Southern Copper's stock price (SCCO)
Detailed data title: Opening price of Southern Copper (SCCO) 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 Southern Copper's stock price (SCCO)

Correlation r = 0.8554040 (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 = 0.7317161 (Coefficient of determination)
This means 73.2% of the change in the one variable (i.e., Southern Copper's stock price (SCCO)) is predictable based on the change in the other (i.e., The distance between Neptune and Uranus) over the 22 years from 2002 through 2023.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 3.9E-7.^Show 0.0000003915526192789839000000
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 3.9E-5% of random cases. Said differently, if you correlated 2,553,935 random variables^Note You don't actually need 2 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 21 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 21 because we have two variables measured over a period of 22 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.

[ 0.68, 0.94 ] 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.

	2002	2003	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021	2022	2023
The distance between Neptune and Uranus (Planetary distance (AU))	12.3947	12.8119	13.2579	13.7275	14.218	14.727	15.2532	15.7925	16.3438	16.906	17.4791	18.0597	18.6476	19.2423	19.8443	20.4507	21.0616	21.6768	22.2973	22.9204	23.5465	24.1757
Southern Copper's stock price (SCCO) (Stock price)	1.98	2.39	7.82	7.83	11.05	17.48	35.04	16.07	32.99	48.95	30.83	38.9	28.78	28.06	25.4	32.28	47.94	30.11	42.96	67.38	61.52	60.96

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([12.3947,12.8119,13.2579,13.7275,14.218,14.727,15.2532,15.7925,16.3438,16.906,17.4791,18.0597,18.6476,19.2423,19.8443,20.4507,21.0616,21.6768,22.2973,22.9204,23.5465,24.1757,])
array_2 = np.array([1.98,2.39,7.82,7.83,11.05,17.48,35.04,16.07,32.99,48.95,30.83,38.9,28.78,28.06,25.4,32.28,47.94,30.11,42.96,67.38,61.52,60.96,])
array_1_name = "The distance between Neptune and Uranus"
array_2_name = "Southern Copper's stock price (SCCO)"

# 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 Neptune and Uranus
Line chart for only Southern Copper's stock price (SCCO)
AI-generated correlation image
The spurious research paper: Neptune's Space and Uranus' Place: The Case of the Southern Copper's Stock Price

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Correlation ID: 3730 · Black Variable ID: 1967 · Red Variable ID: 1698


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