Spurious correlation #3,915 · 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 Earth and the second variable is Agnico Eagle Mines' stock price (AEM). 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 Jupiter and Earth and the second variable is Agnico Eagle Mines' stock price (AEM). The chart goes from 2002 to 2023, and the two variables track closely in value over that time.

AI explanation

As Jupiter crept closer, its gravitational pull inadvertently tugged on the financial markets, leading to a spike in demand for precious metals like gold. This, in turn, boosted Agnico Eagle Mines' stock price as investors scrambled to get their hands on the shiny golden jackpot. It's like a cosmic game of economic dominoes, with Jupiter unknowingly holding the power to influence earthly riches.

^{Show image generation prompt} Model: dalle-3
Prompt: [ A photo-realistic image ] Show the vast night sky with stars twinkling above as Jupiter and Earth draw closer together. Below, a mining site at Agnico Eagle Mines emits a soft glow, with illuminated equipment lined up. As the planets approach, the surface of the mining site is dotted with gleaming gold nuggets, their shine accentuated by the moonlight. Nearby, a bar graph visually represents the steady upward climb of the stock price of Agnico Eagle Mines, reflecting the increasing value of the precious metal being unearthed. 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 Earth and Agnico Eagle Mines' stock price (AEM). 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 Pop art A photo-realistic image An image that looks like it is a scene from A Disney Movie A comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s
ChatGPT: A photo-realistic image

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 Earth and Agnico Eagle Mines' stock price (AEM), in the following situation: Because as the distance between Jupiter and Earth decreased, the gravitational pull caused all the gold in Agnico Eagle Mines to be attracted to the surface, making it easier to mine and increasing the company's stock price. It's like Jupiter saw AEM's potential and wanted to bring it closer for some celestial cash flow!. Keep the description simple.
ChatGPT: Picture Jupiter and Earth coming closer together in the night sky, while below, a mining site at Agnico Eagle Mines glows with equipment lined up. As the planets draw nearer, gold nuggets start rising to the surface, shining brightly in the moonlight, and the stock price of Agnico Eagle Mines climbs steadily upwards on a bar graph nearby.

Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ A photo-realistic image ] and depicting this scene: Picture Jupiter and Earth coming closer together in the night sky, while below, a mining site at Agnico Eagle Mines glows with equipment lined up. As the planets draw nearer, gold nuggets start rising to the surface, shining brightly in the moonlight, and the stock price of Agnico Eagle Mines climbs steadily upwards on a bar graph nearby. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: [ A photo-realistic image ] Show the vast night sky with stars twinkling above as Jupiter and Earth draw closer together. Below, a mining site at Agnico Eagle Mines emits a soft glow, with illuminated equipment lined up. As the planets approach, the surface of the mining site is dotted with gleaming gold nuggets, their shine accentuated by the moonlight. Nearby, a bar graph visually represents the steady upward climb of the stock price of Agnico Eagle Mines, reflecting the increasing value of the precious metal being unearthed.

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

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

AI academic paper

(Because p < 0.01)

Astro-Nomic Effects: Exploring the Galactic Influence on AEM Stock Price

The Journal of Cosmic Economics

Jan 2024

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

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a literature review section of an academic research paper presenting the findings of the connection between The distance between Jupiter and Earth and Agnico Eagle Mines' stock price (AEM). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Perhaps you also got inspiration from some board games that are vaugely related.

Here is the title and abstract of the paper:
[[TITLE]]
"Astro-Nomic Effects: Exploring the Galactic Influence on AEM Stock Price"

[[ABSTRACT]]
In this paper, we delve into the celestial world to explore the intriguing relationship between the distance between Jupiter and Earth and the stock price of Agnico Eagle Mines (AEM). Utilizing data from Astropy and LSEG Analytics (Refinitiv), we set out to answer this cosmic conundrum in the realm of financial markets.

Analyzing data from 2002 to 2023, our research team uncovered a surprisingly strong negative correlation between the distance separating Jupiter and Earth and the stock price of AEM, with a correlation coefficient of -0.8284866 and a p-value < 0.01. These findings suggest a tantalizing link between the vast expanse of outer space and the earthly realm of stock market fluctuations.

Our study sheds light on the potential impact of astronomical phenomena on financial markets, opening the door to a universe of possibilities for future research in the intersection of astrophysics and economics. While our results may seem otherworldly, they highlight the need to explore unconventional influences on stock prices, reminding us that sometimes the stars align in mysterious ways - even for AEM.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The intersection of astrophysics and economics may seem like an unlikely pairing, but as we delve deeper into the cosmos, we uncover unexpected connections that have tangible implications here on Earth. In this paper, we embark on a celestial journey to unravel the enigmatic relationship between the distance separating Jupiter and Earth and the stock price of Agnico Eagle Mines (AEM).
As we peer through the lens of data analysis, we are reminded that the universe operates on both cosmic and economic principles, with gravitational forces extending their reach into the realm of financial markets. Our endeavor to explore this "astro-nomic" phenomenon is guided by both curiosity and a quest for understanding the bizarre and, at times, whimsical nature of market behavior.
Harnessing data from reputable sources such as Astropy and LSEG Analytics (Refinitiv), our research team undertook a rigorous examination of the correlation between the distance from Jupiter to Earth and the stock price of AEM. Undertaking this cosmic conundrum within the framework of financial markets, we sought to pierce the veil of mystery shrouding this celestial connection.
Our investigation, spanning the years 2002 to 2023, has unearthed compelling evidence of a robust negative correlation between the distance to Jupiter and the stock price of AEM. The calculated correlation coefficient of -0.8284866 and the piercingly small p-value of less than 0.01 provide persuasive testimony to the notion that the cosmos and the stock market are inexplicably intertwined.
While such findings may initially seem as distant as the celestial bodies themselves, they serve as a captivating reminder that the reaches of influence extend far beyond our terrestrial inferences. The implications of our research extend beyond the realms of economics and astrophysics, urging academics and practitioners alike to contemplate the celestial symphony that may secretly orchestrate stock market movements.
As we embark on this astral expedition, we recognize that the stars have indeed aligned in mysterious ways, beckoning us to ponder the veiled threads that weave through the fabric of financial markets. Moreover, this cosmic odyssey compels us to redefine our understanding of market dynamics and acknowledge that, on occasion, the heavens hold sway over the fluctuations of earthly assets.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

In "Celestial Mechanics and Financial Markets," Smith and Doe provide an insightful analysis of the potential interplay between astronomical phenomena and stock prices. They discuss the gravitational pull of celestial bodies as a metaphor for market forces, shedding light on the intricate connections between the cosmic and economic realms. However, while their work lays a solid foundation for this research, their failure to explore the specific link between the distance from Jupiter to Earth and stock prices leaves this cosmic connection uncharted.

Jones, in the seminal paper "Planetary Positions and Stock Market Trends," delves into the astrological implications on market behavior, examining planetary alignments and their purported impact on financial markets. Despite the eyebrow-raising nature of his study, Jones's findings spark curiosity about the potential cosmic influences on stock prices, albeit in a rather unconventional manner.

Turning to more tangentially related literature, "Jovian Economics" by Carl Sagan contemplates the extraterrestrial implications on earthly markets, outlining speculative scenarios of an intergalactic stock exchange. Sagan's imaginative musings serve as a thought-provoking departure from the standard economic discourse, although unfortunately, his work lacks empirical data to support his cosmic conjectures.

Delving into the realm of speculative fiction, "The Martian Stock Trader's Guide to the Galaxy" by Andy Weir presents an entertaining narrative of a stock trader navigating the extraterrestrial stock market while stranded on Mars. While Weir's work is more fiction than academic, it prompts us to consider the potential ramifications of interplanetary commerce on stock prices, assuming we can get Elon Musk to stop distracting us with spaceships and actually get some traders up there.

In a surprising twist, the classic board game "Cosmic Encounter" offers a metaphorical lens through which to view the intertwining of celestial forces and market dynamics. Players assume the roles of alien species vying for control over different planets, perhaps providing a whimsical yet intriguing analogy for the competition and fluctuations within financial markets.

As we navigate this cosmic rabbit hole of literature, we recognize the need for more rigorous empirical inquiry into the connection between the distance from Jupiter to Earth and AEM stock prices. While the literature offers glimpses of the potential influence of celestial phenomena on financial markets, our endeavor seeks to bring this celestial puzzle into sharper focus, buoyed by a galaxy of data and a dash of celestial whimsy.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.You draft the methodology section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the methodology section of an academic research paper presenting the findings of the connection between The distance between Jupiter and Earth and Agnico Eagle Mines' stock price (AEM). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from Caclculated using Astropy and 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]]
"Astro-Nomic Effects: Exploring the Galactic Influence on AEM Stock Price"

[[ABSTRACT]]
In this paper, we delve into the celestial world to explore the intriguing relationship between the distance between Jupiter and Earth and the stock price of Agnico Eagle Mines (AEM). Utilizing data from Astropy and LSEG Analytics (Refinitiv), we set out to answer this cosmic conundrum in the realm of financial markets.

Analyzing data from 2002 to 2023, our research team uncovered a surprisingly strong negative correlation between the distance separating Jupiter and Earth and the stock price of AEM, with a correlation coefficient of -0.8284866 and a p-value < 0.01. These findings suggest a tantalizing link between the vast expanse of outer space and the earthly realm of stock market fluctuations.

Our study sheds light on the potential impact of astronomical phenomena on financial markets, opening the door to a universe of possibilities for future research in the intersection of astrophysics and economics. While our results may seem otherworldly, they highlight the need to explore unconventional influences on stock prices, reminding us that sometimes the stars align in mysterious ways - even for AEM.

[[INTRODUCTION]]
The intersection of astrophysics and economics may seem like an unlikely pairing, but as we delve deeper into the cosmos, we uncover unexpected connections that have tangible implications here on Earth. In this paper, we embark on a celestial journey to unravel the enigmatic relationship between the distance separating Jupiter and Earth and the stock price of Agnico Eagle Mines (AEM).
As we peer through the lens of data analysis, we are reminded that the universe operates on both cosmic and economic principles, with gravitational forces extending their reach into the realm of financial markets. Our endeavor to explore this "astro-nomic" phenomenon is guided by both curiosity and a quest for understanding the bizarre and, at times, whimsical nature of market behavior.
Harnessing data from reputable sources such as Astropy and LSEG Analytics (Refinitiv), our research team undertook a rigorous examination of the correlation between the distance from Jupiter to Earth and the stock price of AEM. Undertaking this cosmic conundrum within the framework of financial markets, we sought to pierce the veil of mystery shrouding this celestial connection.
Our investigation, spanning the years 2002 to 2023, has unearthed compelling evidence of a robust negative correlation between the distance to Jupiter and the stock price of AEM. The calculated correlation coefficient of -0.8284866 and the piercingly small p-value of less than 0.01 provide persuasive testimony to the notion that the cosmos and the stock market are inexplicably intertwined.
While such findings may initially seem as distant as the celestial bodies themselves, they serve as a captivating reminder that the reaches of influence extend far beyond our terrestrial inferences. The implications of our research extend beyond the realms of economics and astrophysics, urging academics and practitioners alike to contemplate the celestial symphony that may secretly orchestrate stock market movements.
As we embark on this astral expedition, we recognize that the stars have indeed aligned in mysterious ways, beckoning us to ponder the veiled threads that weave through the fabric of financial markets. Moreover, this cosmic odyssey compels us to redefine our understanding of market dynamics and acknowledge that, on occasion, the heavens hold sway over the fluctuations of earthly assets.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

To unravel the celestial enigma shrouding the relationship between the distance separating Jupiter and Earth and the stock price of Agnico Eagle Mines (AEM), an eclectic array of research methods were employed, reflecting the multidimensional nature of the cosmic and economic dimensions under scrutiny.

Firstly, data on the distance between Jupiter and Earth was collected using the sophisticated and reputable Astropy astrophysical library. This entailed tracking the celestial dance of these planetary bodies across the vast expanse of the solar system, with a keen eye for their positions relative to Earth throughout the study period spanning from 2002 to 2023.

Concurrently, the stock price data for AEM was meticulously sourced from LSEG Analytics (Refinitiv), where the ebb and flow of market dynamics were scrutinized with the same diligence as the celestial mechanics governing the planetary orbits. The data retrieval process involved navigating the financial constellations of stock market databases, extracting the AEM stock price observations with precision and care.

Once these celestial and financial datasets were firmly in hand, a rigorous statistical analysis was conducted to unearth the hidden correlations between these seemingly disparate realms. Spearheading this analytical odyssey was the calculation of the Pearson correlation coefficient, which sought to reveal the magnitude and direction of any relationship between the celestial distance and the stock price of AEM. Additionally, a two-tailed t-test was performed to assess the significance of this cosmic connection, ensuring robustness in our findings and guarding against any statistical "black holes" that might threaten the validity of our results.

Furthermore, a series of robustness checks and sensitivity analyses were undertaken to fortify the credibility of our findings and guard against any cosmic disturbances that could compromise the integrity of our conclusions. This included scrutinizing alternative time periods, exploring varying sub-samples of the data, and assessing correlations under different celestial configurations, all in an effort to ensure the cosmic consistency of our results.

In parallel, numerous control variables were considered to mitigate any confounding cosmic factors that might impact the stock price of AEM. These variables encompassed earthly influences such as market indices, commodity prices, economic indicators, and company-specific fundamentals, acting as our earthly lighthouses in navigating the celestial seas of correlation analysis.

These methodological mosaics woven from the fabric of astrophysics and economics converged in a harmonious symphony of data collection, analysis, and interpretation, weaving a tapestry that illuminated the cosmic interactions between the distant gas giant and the earthly stock price. With unwavering meticulousness, our research team navigated the celestial spheres and financial terrains, driven by a shared passion for uncovering the interstellar influences on earthly asset fluctuations.

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 Earth and Agnico Eagle Mines' stock price (AEM). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, 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]]
"Astro-Nomic Effects: Exploring the Galactic Influence on AEM Stock Price"

[[ABSTRACT]]
In this paper, we delve into the celestial world to explore the intriguing relationship between the distance between Jupiter and Earth and the stock price of Agnico Eagle Mines (AEM). Utilizing data from Astropy and LSEG Analytics (Refinitiv), we set out to answer this cosmic conundrum in the realm of financial markets.

Analyzing data from 2002 to 2023, our research team uncovered a surprisingly strong negative correlation between the distance separating Jupiter and Earth and the stock price of AEM, with a correlation coefficient of -0.8284866 and a p-value < 0.01. These findings suggest a tantalizing link between the vast expanse of outer space and the earthly realm of stock market fluctuations.

Our study sheds light on the potential impact of astronomical phenomena on financial markets, opening the door to a universe of possibilities for future research in the intersection of astrophysics and economics. While our results may seem otherworldly, they highlight the need to explore unconventional influences on stock prices, reminding us that sometimes the stars align in mysterious ways - even for AEM.

[[LITERATURE REVIEW]]
In "Celestial Mechanics and Financial Markets," Smith and Doe provide an insightful analysis of the potential interplay between astronomical phenomena and stock prices. They discuss the gravitational pull of celestial bodies as a metaphor for market forces, shedding light on the intricate connections between the cosmic and economic realms. However, while their work lays a solid foundation for this research, their failure to explore the specific link between the distance from Jupiter to Earth and stock prices leaves this cosmic connection uncharted.
Jones, in the seminal paper "Planetary Positions and Stock Market Trends," delves into the astrological implications on market behavior, examining planetary alignments and their purported impact on financial markets. Despite the eyebrow-raising nature of his study, Jones's findings spark curiosity about the potential cosmic influences on stock prices, albeit in a rather unconventional manner.
Turning to more tangentially related literature, "Jovian Economics" by Carl Sagan contemplates the extraterrestrial implications on earthly markets, outlining speculative scenarios of an intergalactic stock exchange. Sagan's imaginative musings serve as a thought-provoking departure from the standard economic discourse, although unfortunately, his work lacks empirical data to support his cosmic conjectures.
Delving into the realm of speculative fiction, "The Martian Stock Trader's Guide to the Galaxy" by Andy Weir presents an entertaining narrative of a stock trader navigating the extraterrestrial stock market while stranded on Mars. While Weir's work is more fiction than academic, it prompts us to consider the potential ramifications of interplanetary commerce on stock prices, assuming we can get Elon Musk to stop distracting us with spaceships and actually get some traders up there.
In a surprising twist, the classic board game "Cosmic Encounter" offers a metaphorical lens through which to view the intertwining of celestial forces and market dynamics. Players assume the roles of alien species vying for control over different planets, perhaps providing a whimsical yet intriguing analogy for the competition and fluctuations within financial markets.
As we navigate this cosmic rabbit hole of literature, we recognize the need for more rigorous empirical inquiry into the connection between the distance from Jupiter to Earth and AEM stock prices. While the literature offers glimpses of the potential influence of celestial phenomena on financial markets, our endeavor seeks to bring this celestial puzzle into sharper focus, buoyed by a galaxy of data and a dash of celestial whimsy.

[[RESULTS]]
The analysis of the relationship between the distance separating Jupiter and Earth and the stock price of Agnico Eagle Mines (AEM) yielded intriguing results. Our research has unveiled a substantial negative correlation between these two seemingly disparate entities, with a correlation coefficient of -0.8284866. The strength of this association is further underscored by an r-squared value of 0.6863901, indicating that approximately 68.64% of the variability in AEM stock price can be explained by the distance to Jupiter – a cosmic influence not to be underestimated.
The p-value of less than 0.01 offers compelling evidence of the statistical significance of this unearthed relationship, reinforcing the notion that the vast expanse of the cosmos may exert a palpable effect on earthly financial instruments. The significance of this finding cannot be understated, as it challenges traditional notions of market dynamics and invites contemplation of the celestial forces at play in the intricate tapestry of stock price movements.
Furthermore, the robustness of the negative correlation suggests that the distance to Jupiter wields a discernible impact on AEM stock price, evoking contemplation on the interplay of planetary positions and market valuations. The implications of these findings extend beyond the confines of conventional financial analysis, delving into the uncharted territory where the cosmic dance of celestial bodies intersects with the rhythm of market fluctuations.
The scatterplot in Figure 1 visually encapsulates the strength of this unearthly correlation, depicting a clear and captivating relationship between the distance from Jupiter to Earth and the fluctuations in AEM stock price. This visual representation serves as a compelling testament to the profound influence of cosmic phenomena on the earthly realm of financial markets, inviting curiosity and wonder at the unexpected ties that bind the astronomical and economic spheres.
In light of these results, it becomes evident that the celestial bodies, particularly Jupiter, may hold sway over the trajectory of AEM stock price, reminding us that sometimes, astronomical forces may play a more pivotal role in market movements than previously presumed. While our findings may seem as vast and enigmatic as the cosmos itself, they propel us towards a new frontier of economic exploration, where the boundaries between the celestial and the financial blur, and the stars of Jupiter and AEM align in a harmonious yet confounding cosmic ballet.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The results of our investigation into the relationship between the distance from Jupiter to Earth and the stock price of Agnico Eagle Mines (AEM) have elucidated a captivating cosmic correlation. Our findings not only substantiate but also exceed the magnitude of prior scholarly inquiries, showcasing the profound impact of celestial movements on earthly financial dynamics.

Building upon the celestial musings of Smith and Doe, our study delivers empirical evidence that extends beyond metaphorical notions of celestial influence, presenting a quantifiable negative correlation between the planetary distance and AEM stock price. This not only validates the gravitational pull of celestial bodies as a metaphor for market forces but also raises the possibility of Jupiter's celestial grandeurs defying mere metaphoric comparisons and exerting a tangible effect on financial markets.

Moreover, Jones's thought-provoking exploration of planetary positions and market trends receives an unexpected cosmic endorsement through our research. While Jones's astrological implications may have initially seemed whimsical, our findings lend credence to the potential real-world impact of planetary positions, particularly as they pertain to the colossal presence of Jupiter. It appears that the stars, or in this case, the planets, may indeed hold sway over market behaviors in ways that transcend conventional economic reasoning – a celestial twist that even the most imaginative minds might not have predicted.

Our results also navigate the speculative and fictional realms of "Jovian Economics" and "The Martian Stock Trader's Guide to the Galaxy," taking the musings of space commerce from imaginative fiction to empirical fact. By establishing a significant connection between the distance to Jupiter and AEM stock price, our study thrusts the notion of interplanetary economic interactions from speculative fiction into the realm of conceivable economic realities. Perhaps, as we strive to expand our economic frontiers, we may one day see "Elon's Intergalactic Stock Exchange" materialize, provided he can tear himself away from the allure of space exploration.

The peculiar insights offered by "Cosmic Encounter," the classic board game, take on a newfound significance as our findings underscore the interplay of celestial forces and market dynamics. What was once a whimsical analogy now takes concrete form in our empirical results, signaling that the cosmic dance of planetary influences may indeed captivate not only seasoned traders but also otherworldly investors seeking to secure their stellar fortunes.

In sum, our research traces the orbit of astronomical influences on financial markets and invites a paradigm shift in the conventional understanding of market dynamics. The unexpected, yet statistically robust, negative correlation between the distance from Jupiter to Earth and the trajectory of AEM stock price embodies the perplexing, yet undeniable, cosmic connection that permeates the earthly domain of finance. As we navigate this uncharted cosmic puzzle, we leave behind the comfortable halls of traditional economic thought, venturing into the boundless expanse where Jupiter's celestial sway and AEM's financial fate converge in a cosmic tango of economic intrigue.

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 Earth and Agnico Eagle Mines' stock price (AEM). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, 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]]
"Astro-Nomic Effects: Exploring the Galactic Influence on AEM Stock Price"

[[ABSTRACT]]
In this paper, we delve into the celestial world to explore the intriguing relationship between the distance between Jupiter and Earth and the stock price of Agnico Eagle Mines (AEM). Utilizing data from Astropy and LSEG Analytics (Refinitiv), we set out to answer this cosmic conundrum in the realm of financial markets.

Analyzing data from 2002 to 2023, our research team uncovered a surprisingly strong negative correlation between the distance separating Jupiter and Earth and the stock price of AEM, with a correlation coefficient of -0.8284866 and a p-value < 0.01. These findings suggest a tantalizing link between the vast expanse of outer space and the earthly realm of stock market fluctuations.

Our study sheds light on the potential impact of astronomical phenomena on financial markets, opening the door to a universe of possibilities for future research in the intersection of astrophysics and economics. While our results may seem otherworldly, they highlight the need to explore unconventional influences on stock prices, reminding us that sometimes the stars align in mysterious ways - even for AEM.

[[INTRDUCTION]]
The intersection of astrophysics and economics may seem like an unlikely pairing, but as we delve deeper into the cosmos, we uncover unexpected connections that have tangible implications here on Earth. In this paper, we embark on a celestial journey to unravel the enigmatic relationship between the distance separating Jupiter and Earth and the stock price of Agnico Eagle Mines (AEM).
As we peer through the lens of data analysis, we are reminded that the universe operates on both cosmic and economic principles, with gravitational forces extending their reach into the realm of financial markets. Our endeavor to explore this "astro-nomic" phenomenon is guided by both curiosity and a quest for understanding the bizarre and, at times, whimsical nature of market behavior.
Harnessing data from reputable sources such as Astropy and LSEG Analytics (Refinitiv), our research team undertook a rigorous examination of the correlation between the distance from Jupiter to Earth and the stock price of AEM. Undertaking this cosmic conundrum within the framework of financial markets, we sought to pierce the veil of mystery shrouding this celestial connection.
Our investigation, spanning the years 2002 to 2023, has unearthed compelling evidence of a robust negative correlation between the distance to Jupiter and the stock price of AEM. The calculated correlation coefficient of -0.8284866 and the piercingly small p-value of less than 0.01 provide persuasive testimony to the notion that the cosmos and the stock market are inexplicably intertwined.
While such findings may initially seem as distant as the celestial bodies themselves, they serve as a captivating reminder that the reaches of influence extend far beyond our terrestrial inferences. The implications of our research extend beyond the realms of economics and astrophysics, urging academics and practitioners alike to contemplate the celestial symphony that may secretly orchestrate stock market movements.
As we embark on this astral expedition, we recognize that the stars have indeed aligned in mysterious ways, beckoning us to ponder the veiled threads that weave through the fabric of financial markets. Moreover, this cosmic odyssey compels us to redefine our understanding of market dynamics and acknowledge that, on occasion, the heavens hold sway over the fluctuations of earthly assets.

[[RESULTS]]
The analysis of the relationship between the distance separating Jupiter and Earth and the stock price of Agnico Eagle Mines (AEM) yielded intriguing results. Our research has unveiled a substantial negative correlation between these two seemingly disparate entities, with a correlation coefficient of -0.8284866. The strength of this association is further underscored by an r-squared value of 0.6863901, indicating that approximately 68.64% of the variability in AEM stock price can be explained by the distance to Jupiter – a cosmic influence not to be underestimated.
The p-value of less than 0.01 offers compelling evidence of the statistical significance of this unearthed relationship, reinforcing the notion that the vast expanse of the cosmos may exert a palpable effect on earthly financial instruments. The significance of this finding cannot be understated, as it challenges traditional notions of market dynamics and invites contemplation of the celestial forces at play in the intricate tapestry of stock price movements.
Furthermore, the robustness of the negative correlation suggests that the distance to Jupiter wields a discernible impact on AEM stock price, evoking contemplation on the interplay of planetary positions and market valuations. The implications of these findings extend beyond the confines of conventional financial analysis, delving into the uncharted territory where the cosmic dance of celestial bodies intersects with the rhythm of market fluctuations.
The scatterplot in Figure 1 visually encapsulates the strength of this unearthly correlation, depicting a clear and captivating relationship between the distance from Jupiter to Earth and the fluctuations in AEM stock price. This visual representation serves as a compelling testament to the profound influence of cosmic phenomena on the earthly realm of financial markets, inviting curiosity and wonder at the unexpected ties that bind the astronomical and economic spheres.
In light of these results, it becomes evident that the celestial bodies, particularly Jupiter, may hold sway over the trajectory of AEM stock price, reminding us that sometimes, astronomical forces may play a more pivotal role in market movements than previously presumed. While our findings may seem as vast and enigmatic as the cosmos itself, they propel us towards a new frontier of economic exploration, where the boundaries between the celestial and the financial blur, and the stars of Jupiter and AEM align in a harmonious yet confounding cosmic ballet.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our research has brought to light an extraordinary connection between the distance from Jupiter to Earth and the stock price of Agnico Eagle Mines (AEM), unveiling a cosmic tango between celestial bodies and financial markets. The substantial negative correlation we've unearthed, with a correlation coefficient of -0.8284866 and a p-value of less than 0.01, indicates that the influence of the cosmos extends even to the earthly realm of stock prices.

These findings challenge traditional economic paradigms and beg the question: are the stock market movements at the mercy of celestial choreography? The evidence suggests so, inspiring a reevaluation of market dynamics and a cosmic pondering of the celestial forces at play in the intricate tapestry of financial fluctuations.

While our results may seem out of this world, they underscore the need to consider unconventional influences on stock prices. Still, we must exercise caution and not reach for the stars in drawing definitive conclusions. Nevertheless, our findings suggest that Jupiter’s influence extends far beyond its mythological associations, reaching into the world of finance with surprising efficacy.

This research paves the way for further exploration into the far-reaching effects of astronomical phenomena on financial markets. But as for our study, it seems that the universe has had its say, leaving us with a cosmic conclusion: the stock price of AEM may indeed be subject to the celestial whims beyond our atmospheric control. Therefore, it is safe to assert that no further research is needed in this cosmic corridor of inquiry – for now, at least.

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 Astro-Nomic Effects: Exploring the Galactic Influence on AEM Stock Price. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Cosmic 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 Astro-Nomic Effects: Exploring the Galactic Influence on AEM Stock Price. Respond only with the name of a fictional organization.

ChatGPT:

Galactic Phenomena 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 Astro-Nomic Effects: Exploring the Galactic Influence on AEM Stock Price with an abstract of In this paper, we delve into the celestial world to explore the intriguing relationship between the distance between Jupiter and Earth and the stock price of Agnico Eagle Mines (AEM). Utilizing data from Astropy and LSEG Analytics (Refinitiv), we set out to answer this cosmic conundrum in the realm of financial markets.
Analyzing data from 2002 to 2023, our research team uncovered a surprisingly strong negative correlation between the distance separating Jupiter and Earth and the stock price of AEM, with a correlation coefficient of -0.8284866 and a p-value < 0.01. These findings suggest a tantalizing link between the vast expanse of outer space and the earthly realm of stock market fluctuations.
Our study sheds light on the potential impact of astronomical phenomena on financial markets, opening the door to a universe of possibilities for future research in the intersection of astrophysics and economics. While our results may seem otherworldly, they highlight the need to explore unconventional influences on stock prices, reminding us that sometimes the stars align in mysterious ways - even for AEM.

ChatGPT:

Jupiter, Earth, stock price, Agnico Eagle Mines, AEM, Astropy, LSEG Analytics, Refinitiv, celestial influence, astronomical phenomena, financial markets, correlation, astrophysics, economics, stock market fluctuations, astronomical influence, unconventional influences, outer space, galaxy, cosmic conundrum

*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 Earth
Detailed data title: The average distance between Jupiter and Earth 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 Earth

Agnico Eagle Mines' stock price (AEM)
Detailed data title: Opening price of Agnico Eagle Mines (AEM) 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 Agnico Eagle Mines' stock price (AEM)

Correlation r = -0.8284866 (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 = 0.6863901 (Coefficient of determination)
This means 68.6% of the change in the one variable (i.e., Agnico Eagle Mines' stock price (AEM)) is predictable based on the change in the other (i.e., The distance between Jupiter and Earth) over the 22 years from 2002 through 2023.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.9E-6.^Show 0.0000019185830679767230000000
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 -0.83 in 0.00019% of random cases. Said differently, if you correlated 521,218 random variables^Note You don't actually need 521 thousand 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.

[ -0.93, -0.63 ] 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 Jupiter and Earth (Planetary distance (AU))	5.38034	5.45401	5.48482	5.45561	5.37539	5.25683	5.12956	5.03223	5.00459	5.05809	5.16491	5.29138	5.3954	5.46265	5.48524	5.447	5.35932	5.23714	5.11197	5.0237	5.00894	5.07357
Agnico Eagle Mines' stock price (AEM) (Stock price)	9.93	14.6	12.07	13.64	20.1	41.99	55.25	51.31	56.15	76.86	37.34	53.64	27	24.36	27	41.9	46.47	40.48	62.08	73.45	52.03	52.82

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.
Inverted Y-axis: I inverted the Y-axis on the chart above so that the lines would move together. This is visually pleasing, but not at all intuitive. Below is a line graph that does not invert the Y-axis.

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([5.38034,5.45401,5.48482,5.45561,5.37539,5.25683,5.12956,5.03223,5.00459,5.05809,5.16491,5.29138,5.3954,5.46265,5.48524,5.447,5.35932,5.23714,5.11197,5.0237,5.00894,5.07357,])
array_2 = np.array([9.93,14.6,12.07,13.64,20.1,41.99,55.25,51.31,56.15,76.86,37.34,53.64,27,24.36,27,41.9,46.47,40.48,62.08,73.45,52.03,52.82,])
array_1_name = "The distance between Jupiter and Earth"
array_2_name = "Agnico Eagle Mines' stock price (AEM)"

# 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 Earth
Line chart for only Agnico Eagle Mines' stock price (AEM)
AI-generated correlation image
The spurious research paper: Astro-Nomic Effects: Exploring the Galactic Influence on AEM Stock Price

View another random correlation

How fun was this correlation?

Bravo! Your evaluation rocks!

Correlation ID: 3915 · Black Variable ID: 1937 · Red Variable ID: 1881


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