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Spurious correlation #2,641 · 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 CVS stock price (CVS).  The chart goes from 2002 to 2023, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

Residents of Neptune and Uranus were feeling homesick, so they started using CVS's online delivery service to get their favorite products from Earth. The increased interplanetary demand for CVS goods led to higher stock prices.

Model: dalle-3
Prompt: [ A photo-realistic image ] Create an image of a vast cosmic scene with Neptune and Uranus slowly separating in the background, showcasing their breathtaking cosmic dance. In the foreground, portray the interior of the CVS headquarters with employees working together in a harmonious flow, exuding energy and enthusiasm. Show a large screen in the office displaying the rising stock price, symbolizing the magnetic energy of their productivity reverberating through the building. 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 CVs' stock price (CVS). 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: Surrealism A photo-realistic image Cybernetic art inspired by bauhaus a funny image macro
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 Neptune and Uranus and CVs' stock price (CVS), in the following situation: The further Neptune and Uranus move apart, the more gravitational pull they exert on CVS headquarters, indirectly leading to heightened ambition and productivity among CVS employees. This productivity boost ultimately results in an increase in stock price as investors perceive the company as more efficient and profitable. Think of it as the cosmic version of a team-building retreat gone unexpectedly well.. Keep the description simple.
ChatGPT: Imagine a cosmic dance as Neptune and Uranus slowly separate, creating a vast expanse between them. Meanwhile, at the CVS headquarters, employees are buzzing with energy and enthusiasm, working together in a harmonious flow. As their collective efforts surge, the gravitational pull of their productivity seems to reverberate through the entire building. This magnetic energy elevates the company’s stock price, which rises visibly on a large screen in the office, reflecting the newfound efficiency and success.

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: Imagine a cosmic dance as Neptune and Uranus slowly separate, creating a vast expanse between them. Meanwhile, at the CVS headquarters, employees are buzzing with energy and enthusiasm, working together in a harmonious flow. As their collective efforts surge, the gravitational pull of their productivity seems to reverberate through the entire building. This magnetic energy elevates the company’s stock price, which rises visibly on a large screen in the office, reflecting the newfound efficiency and success. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: [ A photo-realistic image ] Create an image of a vast cosmic scene with Neptune and Uranus slowly separating in the background, showcasing their breathtaking cosmic dance. In the foreground, portray the interior of the CVS headquarters with employees working together in a harmonious flow, exuding energy and enthusiasm. Show a large screen in the office displaying the rising stock price, symbolizing the magnetic energy of their productivity reverberating through the building.

*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.

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 CVS stock price (CVS) to increase. Make it feel plausible.

AI academic paper

(Because p < 0.01)
The Cosmic Connection: Exploring the Correlation Between the Distance Between Neptune and Uranus and CVS Stock Price

The Journal of Celestial Economics

Jan 2024

Reminder: This paper is AI-generated. Not real!
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 silly researcher writing an academic paper.You write titles and abstracts of goofy academic research papers.
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, and add unexpected twists in your writing.

Please draft the title and abstract of an academic research paper presenting the findings of the connection between The distance between Neptune and Uranus and CVS stock price (CVS). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Make the title punny if you can come up with clever pun. If not, just make it sound clever.

Your research team used data from Caclculated using Astropy and LSEG Analytics (Refinitiv) to assess this nagging question. You found a correlation coefficient of 0.8963240 and p < 0.01 for 2002 to 2023.

Please respond in this format (replace "Lorem ipsum dolor sit" with your title and abstract)

[[TITLE]]
Lorem ipsum dolor sit

[[ABSTRACT]]
Lorem ipsum dolor sit



ChatGPT:
[[TITLE]]
The Cosmic Connection: Exploring the Correlation Between the Distance Between Neptune and Uranus and CVS Stock Price

[[ABSTRACT]]
The relationship between celestial bodies and financial markets has long been a topic of intrigue and skepticism. In this paper, we investigate the tantalizing question of whether the distance between Neptune and Uranus has any influence on the stock price of CVS, the retail pharmacy giant. Leveraging data from Astropy for celestial distances and LSEG Analytics (Refinitiv) for stock prices, our research team conducted a rigorous analysis covering the period from 2002 to 2023. Our findings reveal a surprisingly strong positive correlation between the distance separating Neptune and Uranus and the performance of CVS stock, with a correlation coefficient of 0.8963240 and a statistically significant p-value of less than 0.01.

It appears that the cosmic dance of the outer planets may indeed have an impact on earthly financial markets, providing a new angle for astro-economics. Perhaps we should consider adding "financial astrologer" to the job descriptions of stock analysts! While the correlation does not imply causation, this discovery leads to the quip, "I guess the stock market is truly out of this world!" Our findings beckon further investigation into the cosmic forces at play in the world of finance.


Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the introduction 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 introduction section of an academic research paper presenting the findings of the connection between The distance between Neptune and Uranus and CVS stock price (CVS). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Here is the title and abstract of the paper:
[[TITLE]]
The Cosmic Connection: Exploring the Correlation Between the Distance Between Neptune and Uranus and CVS Stock Price

[[ABSTRACT]]
The relationship between celestial bodies and financial markets has long been a topic of intrigue and skepticism. In this paper, we investigate the tantalizing question of whether the distance between Neptune and Uranus has any influence on the stock price of CVS, the retail pharmacy giant. Leveraging data from Astropy for celestial distances and LSEG Analytics (Refinitiv) for stock prices, our research team conducted a rigorous analysis covering the period from 2002 to 2023. Our findings reveal a surprisingly strong positive correlation between the distance separating Neptune and Uranus and the performance of CVS stock, with a correlation coefficient of 0.8963240 and a statistically significant p-value of less than 0.01.

It appears that the cosmic dance of the outer planets may indeed have an impact on earthly financial markets, providing a new angle for astro-economics. Perhaps we should consider adding "financial astrologer" to the job descriptions of stock analysts! While the correlation does not imply causation, this discovery leads to the quip, "I guess the stock market is truly out of this world!" Our findings beckon further investigation into the cosmic forces at play in the world of finance.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

As we navigate the intricate web of financial markets and astronomical phenomena, it becomes increasingly clear that the universe may have a more profound influence on our daily lives than we previously thought. The concept of astro-economics has often been met with skepticism and amusement, but as we delve into this uncharted territory, we may find that there's more than just stardust at play in the world of investments.

Now, if you'll humor me for a moment, let's take a look at the cosmic joke hidden in the cosmos – it seems that Neptune and Uranus have been influencing more than just their neighboring celestial bodies! It appears that they also have a stake in the stock market, potentially making them the ultimate "stockholders" in the universe.

As we embark on this research journey, we are reminded of the words of the great Carl Sagan: "We are made of star-stuff." Little did we know that this star-stuff might have an impact on our financial portfolios as well. It seems that even the stock market cannot escape the gravitational pull of the cosmos – truly making it a "universal" phenomenon.


Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.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 CVS stock price (CVS). 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]]
The Cosmic Connection: Exploring the Correlation Between the Distance Between Neptune and Uranus and CVS Stock Price

[[ABSTRACT]]
The relationship between celestial bodies and financial markets has long been a topic of intrigue and skepticism. In this paper, we investigate the tantalizing question of whether the distance between Neptune and Uranus has any influence on the stock price of CVS, the retail pharmacy giant. Leveraging data from Astropy for celestial distances and LSEG Analytics (Refinitiv) for stock prices, our research team conducted a rigorous analysis covering the period from 2002 to 2023. Our findings reveal a surprisingly strong positive correlation between the distance separating Neptune and Uranus and the performance of CVS stock, with a correlation coefficient of 0.8963240 and a statistically significant p-value of less than 0.01.

It appears that the cosmic dance of the outer planets may indeed have an impact on earthly financial markets, providing a new angle for astro-economics. Perhaps we should consider adding "financial astrologer" to the job descriptions of stock analysts! While the correlation does not imply causation, this discovery leads to the quip, "I guess the stock market is truly out of this world!" Our findings beckon further investigation into the cosmic forces at play in the world of finance.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
As we navigate the intricate web of financial markets and astronomical phenomena, it becomes increasingly clear that the universe may have a more profound influence on our daily lives than we previously thought. The concept of astro-economics has often been met with skepticism and amusement, but as we delve into this uncharted territory, we may find that there's more than just stardust at play in the world of investments.
Now, if you'll humor me for a moment, let's take a look at the cosmic joke hidden in the cosmos – it seems that Neptune and Uranus have been influencing more than just their neighboring celestial bodies! It appears that they also have a stake in the stock market, potentially making them the ultimate "stockholders" in the universe.
As we embark on this research journey, we are reminded of the words of the great Carl Sagan: "We are made of star-stuff." Little did we know that this star-stuff might have an impact on our financial portfolios as well. It seems that even the stock market cannot escape the gravitational pull of the cosmos – truly making it a "universal" phenomenon.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The existing literature on the connection between celestial events and financial markets is somewhat limited, yet the studies that do exist provide intriguing insights into this unexplored territory. Smith et al. (2015) conducted an empirical analysis examining the impact of lunar phases on stock market trends, while Doe and Jones (2018) explored the influence of solar flares on exchange rates. However, the direct correlation between the distance separating Neptune and Uranus and stock prices remains an area that has yet to be thoroughly examined.

Now, let's reach for the stars and dive into some related non-fiction literature. In "Astrophysics for People in a Hurry" by Neil deGrasse Tyson, the author marvels at the cosmic wonders of the universe, perhaps unknowingly hinting at the potential impact of distant planets on earthly affairs. Similarly, "A Brief History of Time" by Stephen Hawking delves into the intricacies of space and time, raising the question of whether the movements of celestial bodies may have broader implications than previously thought.

Bringing a touch of fiction into our review, Jules Verne's classic "From the Earth to the Moon" takes readers on an imaginative journey through space, reminding us of the mysteries that lie beyond our planet. Similarly, in Arthur C. Clarke's "2001: A Space Odyssey," the presence of enigmatic monoliths prompts contemplation on the cosmic forces that govern our universe, teasing the idea of unseen influences at work.

Departing from the conventional, we turn to the unusual sources that have informed our understanding of celestial and financial phenomena. Alongside scientific journals and economic analyses, our team has relied on unconventional sources, including the back covers of shampoo bottles, to uncover the cosmic secrets that planetary distances may hold for stock prices. After all, who's to say that the secrets of the universe aren't hiding in plain sight, waiting to be discovered while lathering up in the shower?


Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.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 CVS stock price (CVS). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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]]
The Cosmic Connection: Exploring the Correlation Between the Distance Between Neptune and Uranus and CVS Stock Price

[[ABSTRACT]]
The relationship between celestial bodies and financial markets has long been a topic of intrigue and skepticism. In this paper, we investigate the tantalizing question of whether the distance between Neptune and Uranus has any influence on the stock price of CVS, the retail pharmacy giant. Leveraging data from Astropy for celestial distances and LSEG Analytics (Refinitiv) for stock prices, our research team conducted a rigorous analysis covering the period from 2002 to 2023. Our findings reveal a surprisingly strong positive correlation between the distance separating Neptune and Uranus and the performance of CVS stock, with a correlation coefficient of 0.8963240 and a statistically significant p-value of less than 0.01.

It appears that the cosmic dance of the outer planets may indeed have an impact on earthly financial markets, providing a new angle for astro-economics. Perhaps we should consider adding "financial astrologer" to the job descriptions of stock analysts! While the correlation does not imply causation, this discovery leads to the quip, "I guess the stock market is truly out of this world!" Our findings beckon further investigation into the cosmic forces at play in the world of finance.

[[INTRODUCTION]]
As we navigate the intricate web of financial markets and astronomical phenomena, it becomes increasingly clear that the universe may have a more profound influence on our daily lives than we previously thought. The concept of astro-economics has often been met with skepticism and amusement, but as we delve into this uncharted territory, we may find that there's more than just stardust at play in the world of investments.
Now, if you'll humor me for a moment, let's take a look at the cosmic joke hidden in the cosmos – it seems that Neptune and Uranus have been influencing more than just their neighboring celestial bodies! It appears that they also have a stake in the stock market, potentially making them the ultimate "stockholders" in the universe.
As we embark on this research journey, we are reminded of the words of the great Carl Sagan: "We are made of star-stuff." Little did we know that this star-stuff might have an impact on our financial portfolios as well. It seems that even the stock market cannot escape the gravitational pull of the cosmos – truly making it a "universal" phenomenon.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To unravel the celestial mystery behind the relationship between the distance separating Neptune and Uranus and the stock price of CVS, our research team utilized a hybrid methodology that combined traditional financial analysis with celestial data mining. Our data collection process involved harnessing information from a constellation of sources, including the celestial distances calculated using Astropy and the comprehensive stock market data from LSEG Analytics (Refinitiv).

The first step in our cosmic conquest was to obtain precise calculations of the distance between Neptune and Uranus for the period of 2002 to 2023. Although we didn't have a spaceship at our disposal, we relied on the trusted Astropy library to provide us with accurate astronomical data. With the celestial distances secured, we were ready to embark on our astronomical odyssey. It seems even in the celestial realm, precision is crucial – no room for "spacey" estimations!

Next, we delved into the realm of stock market dynamics to trace the performance of the CVS stock over the same period. Our team combed through the labyrinthine databases of LSEG Analytics (Refinitiv) to extract historical stock prices, trading volumes, and other financial parameters. Wrangling this financial data was like navigating an asteroid field, but we emerged unscathed and armed with a treasure trove of stock market information. It's safe to say that our team became quite the "suns-tellar" experts in crunching numbers from two distinct realms.

With both sets of data in our cosmic toolkit, we set forth to conduct a series of statistical analyses to unearth any potential correlations between the celestial distances and the stock price movements. Using a combination of regression analyses, time series models, and astronomical calculations, we sought to unveil any hidden cosmic patterns that may influence earthly market dynamics. It's as if we were attempting to decode the "stock market constellation" using both financial and astronomical "star-charts." Who knew that our research tools would transition seamlessly from analyzing planets to analyzing "financial planets?"

In addition to the quantitative analyses, we also explored the qualitative aspects of astro-economics, engaging in discussions with esteemed astronomers and financial experts to gain insights into the potential underlying mechanisms of this cosmic phenomenon. It was a meeting of the minds between astronomers and stock analysts, exchanging ideas about whether the celestial dance of Neptune and Uranus had any influence on the earthly pulse of the stock market. It's safe to say that we truly "elevated" the conversation to a cosmic level!

Lastly, to ensure the robustness of our findings, we implemented rigorous sensitivity analyses and cross-validation procedures to scrutinize the stability and reliability of the identified correlations. As we sifted through the statistical constellations of data, we remained vigilant in our quest for verifiable and reproducible results. After all, it wouldn't be wise to base astute financial predictions on mere "stellar coincidences."

In summary, our methodology amalgamated the realms of astronomy and finance into a cosmic cocktail of data analysis, statistical modeling, and interdisciplinary collaboration. With our data from two distinct worlds in hand, we set out to decode the celestial riddle underlying the relationship between the movements of planets and the gyrations of stock prices. As they say, in the pursuit of knowledge, one must be willing to "go the extra astronomical unit!"


Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.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 CVS stock price (CVS). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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 0.8963240, r-squared of 0.8033968, 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]]
The Cosmic Connection: Exploring the Correlation Between the Distance Between Neptune and Uranus and CVS Stock Price

[[ABSTRACT]]
The relationship between celestial bodies and financial markets has long been a topic of intrigue and skepticism. In this paper, we investigate the tantalizing question of whether the distance between Neptune and Uranus has any influence on the stock price of CVS, the retail pharmacy giant. Leveraging data from Astropy for celestial distances and LSEG Analytics (Refinitiv) for stock prices, our research team conducted a rigorous analysis covering the period from 2002 to 2023. Our findings reveal a surprisingly strong positive correlation between the distance separating Neptune and Uranus and the performance of CVS stock, with a correlation coefficient of 0.8963240 and a statistically significant p-value of less than 0.01.

It appears that the cosmic dance of the outer planets may indeed have an impact on earthly financial markets, providing a new angle for astro-economics. Perhaps we should consider adding "financial astrologer" to the job descriptions of stock analysts! While the correlation does not imply causation, this discovery leads to the quip, "I guess the stock market is truly out of this world!" Our findings beckon further investigation into the cosmic forces at play in the world of finance.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
As we navigate the intricate web of financial markets and astronomical phenomena, it becomes increasingly clear that the universe may have a more profound influence on our daily lives than we previously thought. The concept of astro-economics has often been met with skepticism and amusement, but as we delve into this uncharted territory, we may find that there's more than just stardust at play in the world of investments.
Now, if you'll humor me for a moment, let's take a look at the cosmic joke hidden in the cosmos – it seems that Neptune and Uranus have been influencing more than just their neighboring celestial bodies! It appears that they also have a stake in the stock market, potentially making them the ultimate "stockholders" in the universe.
As we embark on this research journey, we are reminded of the words of the great Carl Sagan: "We are made of star-stuff." Little did we know that this star-stuff might have an impact on our financial portfolios as well. It seems that even the stock market cannot escape the gravitational pull of the cosmos – truly making it a "universal" phenomenon.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The results of our analysis revealed a remarkably strong positive correlation between the distance separating Neptune and Uranus and the stock price of CVS. The correlation coefficient of 0.8963240 indicates a high degree of association between these two seemingly unrelated variables. This finding suggests that as the celestial gap between Neptune and Uranus widens, so does the stock price of CVS, and vice versa.

Now, I hate to be "punny," but it seems that Neptune and Uranus have truly established themselves as the cosmic influencers of the stock market. They might just be looking for a celestial broker to manage their "astronomical" investment portfolio!

The scatterplot depicted in Figure 1 unequivocally illustrates the strong positive relationship between the distance between Neptune and Uranus and the stock price of CVS, further solidifying our findings.

This unexpected correlation between celestial distances and stock prices raises the question: are we witnessing the birth of a new field of financial astrology? It's as if the stars are aligning to bring a new meaning to "investment stars"!

Our results underscore the need for further exploration into the intriguing connection between celestial dynamics and financial markets, opening a pathway to a whole new dimension of investment analysis. After all, it seems that the saying "reach for the stars" may hold more financial wisdom than we previously thought.


Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.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 CVS stock price (CVS). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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]]
The Cosmic Connection: Exploring the Correlation Between the Distance Between Neptune and Uranus and CVS Stock Price

[[ABSTRACT]]
The relationship between celestial bodies and financial markets has long been a topic of intrigue and skepticism. In this paper, we investigate the tantalizing question of whether the distance between Neptune and Uranus has any influence on the stock price of CVS, the retail pharmacy giant. Leveraging data from Astropy for celestial distances and LSEG Analytics (Refinitiv) for stock prices, our research team conducted a rigorous analysis covering the period from 2002 to 2023. Our findings reveal a surprisingly strong positive correlation between the distance separating Neptune and Uranus and the performance of CVS stock, with a correlation coefficient of 0.8963240 and a statistically significant p-value of less than 0.01.

It appears that the cosmic dance of the outer planets may indeed have an impact on earthly financial markets, providing a new angle for astro-economics. Perhaps we should consider adding "financial astrologer" to the job descriptions of stock analysts! While the correlation does not imply causation, this discovery leads to the quip, "I guess the stock market is truly out of this world!" Our findings beckon further investigation into the cosmic forces at play in the world of finance.

[[LITERATURE REVIEW]]
The existing literature on the connection between celestial events and financial markets is somewhat limited, yet the studies that do exist provide intriguing insights into this unexplored territory. Smith et al. (2015) conducted an empirical analysis examining the impact of lunar phases on stock market trends, while Doe and Jones (2018) explored the influence of solar flares on exchange rates. However, the direct correlation between the distance separating Neptune and Uranus and stock prices remains an area that has yet to be thoroughly examined.
Now, let's reach for the stars and dive into some related non-fiction literature. In "Astrophysics for People in a Hurry" by Neil deGrasse Tyson, the author marvels at the cosmic wonders of the universe, perhaps unknowingly hinting at the potential impact of distant planets on earthly affairs. Similarly, "A Brief History of Time" by Stephen Hawking delves into the intricacies of space and time, raising the question of whether the movements of celestial bodies may have broader implications than previously thought.
Bringing a touch of fiction into our review, Jules Verne's classic "From the Earth to the Moon" takes readers on an imaginative journey through space, reminding us of the mysteries that lie beyond our planet. Similarly, in Arthur C. Clarke's "2001: A Space Odyssey," the presence of enigmatic monoliths prompts contemplation on the cosmic forces that govern our universe, teasing the idea of unseen influences at work.
Departing from the conventional, we turn to the unusual sources that have informed our understanding of celestial and financial phenomena. Alongside scientific journals and economic analyses, our team has relied on unconventional sources, including the back covers of shampoo bottles, to uncover the cosmic secrets that planetary distances may hold for stock prices. After all, who's to say that the secrets of the universe aren't hiding in plain sight, waiting to be discovered while lathering up in the shower?

[[RESULTS]]
The results of our analysis revealed a remarkably strong positive correlation between the distance separating Neptune and Uranus and the stock price of CVS. The correlation coefficient of 0.8963240 indicates a high degree of association between these two seemingly unrelated variables. This finding suggests that as the celestial gap between Neptune and Uranus widens, so does the stock price of CVS, and vice versa.
Now, I hate to be "punny," but it seems that Neptune and Uranus have truly established themselves as the cosmic influencers of the stock market. They might just be looking for a celestial broker to manage their "astronomical" investment portfolio!
The scatterplot depicted in Figure 1 unequivocally illustrates the strong positive relationship between the distance between Neptune and Uranus and the stock price of CVS, further solidifying our findings.
This unexpected correlation between celestial distances and stock prices raises the question: are we witnessing the birth of a new field of financial astrology? It's as if the stars are aligning to bring a new meaning to "investment stars"!
Our results underscore the need for further exploration into the intriguing connection between celestial dynamics and financial markets, opening a pathway to a whole new dimension of investment analysis. After all, it seems that the saying "reach for the stars" may hold more financial wisdom than we previously thought.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

Our findings not only reinforce the existing literature on the relationship between celestial events and financial markets but also open up a cosmic can of worms, or should I say, cosmic cash? The positive correlation we observed between the distance separating Neptune and Uranus and the stock price of CVS echoes the unexpected influence of celestial phenomena on earthly affairs. It's as if Neptune and Uranus are whispering trading tips from the far reaches of our solar system!

Connecting our results to the literature, the humorous yet thought-provoking interlude in "Astrophysics for People in a Hurry" by Neil deGrasse Tyson and the thought-provoking speculation in "A Brief History of Time" by Stephen Hawking hint at the possibility of unseen cosmic forces shaping the financial world. Who knew that the movements of planets millions of miles away could impact the performance of a retail pharmacy giant? It's enough to make one wonder if CVS's next earnings report might be written in the stars!

The strength of the correlation we uncovered aligns with the tongue-in-cheek exploration of unconventional sources in our literature review, reinforcing the idea that the secrets of the universe could be hiding in the most unexpected places, much like discovering a stock tip on the back of a shampoo bottle. Who would have thought that the cosmic dance of Neptune and Uranus might hold the key to predicting market trends?

Our research brings a lighthearted yet intriguing twist to the field of financial analysis, inviting us to ponder the idea of "astro-economics" and consider the prospect of celestial bodies as market influencers. If Neptune and Uranus are indeed the unlikely power couple behind fluctuations in stock prices, perhaps it's time for investors to look beyond traditional economic indicators and start consulting the stars for investment advice. It's not every day that astronomical phenomena get a place on the trading floor!

In conclusion, our study provides a celestial spin on the world of finance, prompting us to rethink the role of planetary dynamics in shaping market trends. The cosmic correlation we observed may be just the tip of the asteroid - there could be a universe of untapped potential waiting for discovery in the field of financial astrology. As we navigate the cosmos of investment analysis, it seems that the familiar adage "the sky's the limit" holds a whole new meaning in the realm of astro-economics.


Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.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 CVS stock price (CVS). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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]]
The Cosmic Connection: Exploring the Correlation Between the Distance Between Neptune and Uranus and CVS Stock Price

[[ABSTRACT]]
The relationship between celestial bodies and financial markets has long been a topic of intrigue and skepticism. In this paper, we investigate the tantalizing question of whether the distance between Neptune and Uranus has any influence on the stock price of CVS, the retail pharmacy giant. Leveraging data from Astropy for celestial distances and LSEG Analytics (Refinitiv) for stock prices, our research team conducted a rigorous analysis covering the period from 2002 to 2023. Our findings reveal a surprisingly strong positive correlation between the distance separating Neptune and Uranus and the performance of CVS stock, with a correlation coefficient of 0.8963240 and a statistically significant p-value of less than 0.01.

It appears that the cosmic dance of the outer planets may indeed have an impact on earthly financial markets, providing a new angle for astro-economics. Perhaps we should consider adding "financial astrologer" to the job descriptions of stock analysts! While the correlation does not imply causation, this discovery leads to the quip, "I guess the stock market is truly out of this world!" Our findings beckon further investigation into the cosmic forces at play in the world of finance.

[[INTRDUCTION]]
As we navigate the intricate web of financial markets and astronomical phenomena, it becomes increasingly clear that the universe may have a more profound influence on our daily lives than we previously thought. The concept of astro-economics has often been met with skepticism and amusement, but as we delve into this uncharted territory, we may find that there's more than just stardust at play in the world of investments.
Now, if you'll humor me for a moment, let's take a look at the cosmic joke hidden in the cosmos – it seems that Neptune and Uranus have been influencing more than just their neighboring celestial bodies! It appears that they also have a stake in the stock market, potentially making them the ultimate "stockholders" in the universe.
As we embark on this research journey, we are reminded of the words of the great Carl Sagan: "We are made of star-stuff." Little did we know that this star-stuff might have an impact on our financial portfolios as well. It seems that even the stock market cannot escape the gravitational pull of the cosmos – truly making it a "universal" phenomenon.

[[RESULTS]]
The results of our analysis revealed a remarkably strong positive correlation between the distance separating Neptune and Uranus and the stock price of CVS. The correlation coefficient of 0.8963240 indicates a high degree of association between these two seemingly unrelated variables. This finding suggests that as the celestial gap between Neptune and Uranus widens, so does the stock price of CVS, and vice versa.
Now, I hate to be "punny," but it seems that Neptune and Uranus have truly established themselves as the cosmic influencers of the stock market. They might just be looking for a celestial broker to manage their "astronomical" investment portfolio!
The scatterplot depicted in Figure 1 unequivocally illustrates the strong positive relationship between the distance between Neptune and Uranus and the stock price of CVS, further solidifying our findings.
This unexpected correlation between celestial distances and stock prices raises the question: are we witnessing the birth of a new field of financial astrology? It's as if the stars are aligning to bring a new meaning to "investment stars"!
Our results underscore the need for further exploration into the intriguing connection between celestial dynamics and financial markets, opening a pathway to a whole new dimension of investment analysis. After all, it seems that the saying "reach for the stars" may hold more financial wisdom than we previously thought.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our research has shed light on the astonishing correlation between the distance separating Neptune and Uranus and the stock price of CVS. It seems that the cosmic ballet of these outer planets may indeed have an impact on earthly financial markets - talk about a "stock market of astronomical proportions"!

As we wrap up this cosmic financial exploration, it's important to remember that while correlation doesn't imply causation, it's still worth keeping an eye on the celestial positioning for potential market indicators. After all, the celestial bodies may be "stockholders," but at least they're not giving us "stock tips"!

Our findings have taken us to the outer reaches of both the universe and financial analysis, and we can't help but marvel at the interconnectedness of the cosmos and the stock market. It seems that the stock market truly knows no bounds - or should we say, it's "beyond Neptunes and Uranuses"?

In the grand scheme of things, it's clear that no more research is needed in this area. After all, we've already reached the "pinnacle" of financial astrology with this discovery.


Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of academic journals. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding research, scientific, or academic journal that would publish a paper entited The Cosmic Connection: Exploring the Correlation Between the Distance Between Neptune and Uranus and CVS Stock Price. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Celestial 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 The Cosmic Connection: Exploring the Correlation Between the Distance Between Neptune and Uranus and CVS Stock Price. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Astro-Financial Research


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 The Cosmic Connection: Exploring the Correlation Between the Distance Between Neptune and Uranus and CVS Stock Price with an abstract of The relationship between celestial bodies and financial markets has long been a topic of intrigue and skepticism. In this paper, we investigate the tantalizing question of whether the distance between Neptune and Uranus has any influence on the stock price of CVS, the retail pharmacy giant. Leveraging data from Astropy for celestial distances and LSEG Analytics (Refinitiv) for stock prices, our research team conducted a rigorous analysis covering the period from 2002 to 2023. Our findings reveal a surprisingly strong positive correlation between the distance separating Neptune and Uranus and the performance of CVS stock, with a correlation coefficient of 0.8963240 and a statistically significant p-value of less than 0.01.
It appears that the cosmic dance of the outer planets may indeed have an impact on earthly financial markets, providing a new angle for astro-economics. Perhaps we should consider adding "financial astrologer" to the job descriptions of stock analysts! While the correlation does not imply causation, this discovery leads to the quip, "I guess the stock market is truly out of this world!" Our findings beckon further investigation into the cosmic forces at play in the world of finance.

ChatGPT:

Neptune, Uranus, celestial bodies, stock price, CVS, retail pharmacy, Astropy, LSEG Analytics, Refinitiv, correlation, statistical analysis, astro-economics, financial astrology, stock market, finance, cosmic forces, outer planets.

*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: 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

CVS stock price (CVS)
Detailed data title: Opening price of CVS Health (CVS) on the first trading day of the year
Source: LSEG Analytics (Refinitiv)
Additional Info: Via Microsoft Excel Stockhistory function

See what else correlates with CVS stock price (CVS)

Correlation r = 0.8963240 (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 = 0.8033968 (Coefficient of determination)
This means 80.3% of the change in the one variable (i.e., CVS stock price (CVS)) 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 1.7E-8. 0.0000000167774110756829400000
The p-value is a measure of how probable it is that we would randomly find a result this extreme. 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 0.9 in 1.7E-6% of random cases. Said differently, if you correlated 59,603,952 random variables You don't actually need 59 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, 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.

[ 0.76, 0.96 ] 95% correlation confidence interval (using the Fisher z-transformation)
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: 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.
2002200320042005200620072008200920102011201220132014201520162017201820192020202120222023
The distance between Neptune and Uranus (Planetary distance (AU))12.394712.811913.257913.727514.21814.72715.253215.792516.343816.90617.479118.059718.647619.242319.844320.450721.061621.676822.297322.920423.546524.1757
CVS stock price (CVS) (Stock price)14.9312.7318.1522.726.6730.9539.7128.8132.4334.9441.349.0271.1696.5296.1779.5873.0664.8674.6568.68102.8191.72




Why this works

  1. 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.
  2. Lack of causal connection: There is probably 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.
  3. 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 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.
  4. 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. 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. 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([14.93,12.73,18.15,22.7,26.67,30.95,39.71,28.81,32.43,34.94,41.3,49.02,71.16,96.52,96.17,79.58,73.06,64.86,74.65,68.68,102.81,91.72,])
array_1_name = "The distance between Neptune and Uranus"
array_2_name = "CVS stock price (CVS)"

# 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)



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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."

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Correlation ID: 2641 · Black Variable ID: 1967 · Red Variable ID: 1646
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