Spurious correlation #1,722 · 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 The Coca-Cola Company's stock price (KO). The chart goes from 2002 to 2023, and the two variables track closely in value over that time.

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is The distance between Neptune and Uranus and the second variable is The Coca-Cola Company's stock price (KO). The chart goes from 2002 to 2023, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As the gap widened, so did the fizz-ical attraction to Coke's stocks. The gravitational pull of this celestial separation created a cosmic thirst for Coca-Cola, leading investors to orbit around this carbonated opportunity. So, when it comes to the stock market, even Neptune and Uranus can't resist the cola-nary delights of Coca-Cola!

^{Show image generation prompt} Model: dalle-3
Prompt: Generate an image of a distant, expansive nebula with hues of vibrant blue and green, representing the vast expanse between Neptune and Uranus. At the heart of the nebula, an imposing Coca-Cola bottle gleams amidst the cosmic spectacle, symbolizing The Coca-Cola Company's stock value. Embody the scene with the stark, angular forms and robust textures characteristic of brutalist design. 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 The Coca-Cola Company's stock price. Given these, which of the following image style descriptions seems most appropriate? Pick the one that seems to be related to one of the variables at hand. Please respond with only one of the following potential descriptions: Brutalism Symbolism Symbolism Steampunk Brutalism
ChatGPT: Brutalism

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 The Coca-Cola Company's stock price together. Keep the description simple.
ChatGPT: A large, distant nebula, representing the distance between Neptune and Uranus, with swirls of blue and green colors. In the center of the nebula, there is a tall, shining Coca-Cola bottle, symbolizing The Coca-Cola Company's stock price, standing out against the cosmic backdrop.

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: [ Brutalism ] and depicting this scene: A large, distant nebula, representing the distance between Neptune and Uranus, with swirls of blue and green colors. In the center of the nebula, there is a tall, shining Coca-Cola bottle, symbolizing The Coca-Cola Company's stock price, standing out against the cosmic backdrop. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a distant, expansive nebula with hues of vibrant blue and green, representing the vast expanse between Neptune and Uranus. At the heart of the nebula, an imposing Coca-Cola bottle gleams amidst the cosmic spectacle, symbolizing The Coca-Cola Company's stock value. Embody the scene with the stark, angular forms and robust textures characteristic of brutalist design.

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

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

AI academic paper

(Because p < 0.01)

Neptune's Neighbors and the Noteworthy Nectar: An Analysis of the Association between the Distance between Neptune and Uranus and The Coca-Cola Company's stock price

The Journal of Planetary Economics and Beverage Studies

Jan 2024

Reminder: This paper is AI-generated. Not real!

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

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

Please make up a literature review section of an academic research paper presenting the findings of the connection between The distance between Neptune and Uranus and The Coca-Cola Company's stock price (KO). 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 name some movies that you watched that are tangentially related to the topic.

Here is the title and abstract of the paper:
[[TITLE]]
Neptune's Neighbors and the Noteworthy Nectar: An Analysis of the Association between the Distance between Neptune and Uranus and The Coca-Cola Company's stock price

[[ABSTRACT]]
The present study examines the intriguing relationship between the distance separating the planets Neptune and Uranus and the stock price of The Coca-Cola Company (KO). Utilizing data derived from Astropy and LSEG Analytics (Refinitiv), the research team embarked on the whimsical quest to investigate this unusual pairing. Remarkably, our analysis unveiled a striking correlation coefficient of 0.9693957, with a statistically significant p-value (p < 0.01) during the timespan spanning from 2002 to 2023.

Our findings suggest a noteworthy link between the two seemingly disparate entities, prompting us to ponder the cosmic forces at play in the realm of finance. Perhaps, as Neptune and Uranus engage in a celestial tango through the cosmos, their gravitational pull exerts a subtle yet discernible influence on the market performance of The Coca-Cola Company. This yields a new interpretation of the adage "buy when the stars align" – or rather, when the planets align!

To illustrate, the humorous notion could be posited that as the distance between Neptune and Uranus widens, the stock price of KO experiences a "downward spiral" – a cosmic conundrum indeed! This comedic juxtaposition of celestial dynamics and financial phenomena adds a lighthearted twist to the realm of empirical investigation, fostering a fusion of intellect and amusement.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The relationship between celestial bodies and earthly matters has long intrigued humanity, prompting speculation and wonder about the potential influence of cosmic forces on our everyday experiences. In the context of financial markets, the notion of celestial bodies impacting stock prices may evoke skepticism and amusement in equal measure. The juxtaposition of Neptune and Uranus, the distant neighbors in our solar system, with the stock price of The Coca-Cola Company (KO) presents an unlikely pairing, akin to a cosmic "dad joke" in the realm of empirical research.
As we delve into the depths of this unconventional association, we are reminded of the classic dad joke: "Why don't scientists trust atoms? Because they make up everything." Similarly, we approach the investigation with an open mind, acknowledging the potential for surprising correlations and the tedious task of distinguishing causation from mere correlation.
The aim of this study is not only to scrutinize the statistical significance of the relationship between the distance separating Neptune and Uranus and the stock price of KO but also to illuminate the potential mechanisms underlying such an association. In doing so, we bridge the gap between the esoteric world of planetary movement and the pragmatic realm of finance, prompting a chuckle at the unexpected convergence of astrophysics and stock market trends.
Upon pondering the unexpected interplay between celestial mechanics and market dynamics, one is tempted to invoke another dad joke: "I told my wife she should embrace her mistakes. She gave me a hug." Likewise, the inherent paradox of our investigation elicits a bemused sentiment, leading us to navigate through the research with both gravity and levity in equal measure.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

Previous academic studies have delved into the realms of celestial bodies and financial markets, probing for improbable connections much like a determined prospector sifting through rubble in search of gold. Smith and Doe (2015) presented the groundbreaking exploration of planetary distances and stock prices, establishing a framework for investigating the interstellar market influences. Similarly, Jones (2017) contributed to this expanding body of literature, shedding light on the potential correlation between cosmic events and economic indicators.

Now, turning to non-fiction texts, "Cosmic Coincidences" by John Gribbin and "Astro-Economics: A Study of Astrology with the Stock Market" by Olga Morales offer intriguing insights into celestial phenomena and their purported impact on financial affairs, albeit with varying levels of empirical rigor.

In the realm of fiction, Greg Egan's "Diaspora" and Arthur C. Clarke's "2001: A Space Odyssey" may not directly address the association between planetary distances and stock prices, but their imaginative narratives evoke a sense of cosmic wonder and the boundless possibilities of the universe.

Furthermore, the cinematic medium provides an avenue for tangential exploration, with movies such as "The Wolf of Wall Street" and "Interstellar" offering glimpses into the turbulent world of finance and the enigmatic allure of outer space. While not directly aligned with the specific focus of this study, these cultural artifacts serve as a reminder of the intricate interplay between human endeavors and the cosmic expanse.

It is with this backdrop of varied and eclectic sources that the present study embarks on its mission to unravel the enthralling association between the distance separating Neptune and Uranus and the stock price of The Coca-Cola Company.

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

Please make up the methodology section of an academic research paper presenting the findings of the connection between The distance between Neptune and Uranus and The Coca-Cola Company's stock price (KO). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from Caclculated using Astropy and LSEG Analytics (Refinitiv) . You used data from 2002 to 2023

Make up the research methods you don't know. Make them a bit goofy and convoluted.

Here is the title, abstract, and introduction of the paper:
[[TITLE]]
Neptune's Neighbors and the Noteworthy Nectar: An Analysis of the Association between the Distance between Neptune and Uranus and The Coca-Cola Company's stock price

[[ABSTRACT]]
The present study examines the intriguing relationship between the distance separating the planets Neptune and Uranus and the stock price of The Coca-Cola Company (KO). Utilizing data derived from Astropy and LSEG Analytics (Refinitiv), the research team embarked on the whimsical quest to investigate this unusual pairing. Remarkably, our analysis unveiled a striking correlation coefficient of 0.9693957, with a statistically significant p-value (p < 0.01) during the timespan spanning from 2002 to 2023.

Our findings suggest a noteworthy link between the two seemingly disparate entities, prompting us to ponder the cosmic forces at play in the realm of finance. Perhaps, as Neptune and Uranus engage in a celestial tango through the cosmos, their gravitational pull exerts a subtle yet discernible influence on the market performance of The Coca-Cola Company. This yields a new interpretation of the adage "buy when the stars align" – or rather, when the planets align!

To illustrate, the humorous notion could be posited that as the distance between Neptune and Uranus widens, the stock price of KO experiences a "downward spiral" – a cosmic conundrum indeed! This comedic juxtaposition of celestial dynamics and financial phenomena adds a lighthearted twist to the realm of empirical investigation, fostering a fusion of intellect and amusement.

[[INTRODUCTION]]
The relationship between celestial bodies and earthly matters has long intrigued humanity, prompting speculation and wonder about the potential influence of cosmic forces on our everyday experiences. In the context of financial markets, the notion of celestial bodies impacting stock prices may evoke skepticism and amusement in equal measure. The juxtaposition of Neptune and Uranus, the distant neighbors in our solar system, with the stock price of The Coca-Cola Company (KO) presents an unlikely pairing, akin to a cosmic "dad joke" in the realm of empirical research.
As we delve into the depths of this unconventional association, we are reminded of the classic dad joke: "Why don't scientists trust atoms? Because they make up everything." Similarly, we approach the investigation with an open mind, acknowledging the potential for surprising correlations and the tedious task of distinguishing causation from mere correlation.
The aim of this study is not only to scrutinize the statistical significance of the relationship between the distance separating Neptune and Uranus and the stock price of KO but also to illuminate the potential mechanisms underlying such an association. In doing so, we bridge the gap between the esoteric world of planetary movement and the pragmatic realm of finance, prompting a chuckle at the unexpected convergence of astrophysics and stock market trends.
Upon pondering the unexpected interplay between celestial mechanics and market dynamics, one is tempted to invoke another dad joke: "I told my wife she should embrace her mistakes. She gave me a hug." Likewise, the inherent paradox of our investigation elicits a bemused sentiment, leading us to navigate through the research with both gravity and levity in equal measure.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

To investigate the celestial/stock market conundrum, the research team utilized a combination of traditional econometric methods and astrological observations... just kidding, we utilized data derived from Astropy and LSEG Analytics (Refinitiv) to measure the distance between Neptune and Uranus and the stock price of The Coca-Cola Company (KO). The distance between Neptune and Uranus was calculated using astronomical algorithms and ephemeris data from various astronomical databases and telescopic observations. The stock price of KO was obtained from the LSEG Analytics data feed, covering the time period from 2002 to 2023.

The first step in our analysis involved aligning the time series data for the distance between Neptune and Uranus with the corresponding stock price of KO. This process juxtaposed the fluctuations in planetary separation with the oscillations in stock market performance, culminating in a visually engaging, if not slightly absurd, display of data.

Furthermore, to account for potential confounding variables and to enhance the robustness of the analysis, the research team conducted a battery of statistical tests, including autoregressive integrated moving average (ARIMA) modeling. The ARIMA modeling aimed to capture any potential time-series dependencies and seasonality patterns within the data, creating a model that could predict the stock price of KO based on the celestial positioning of Neptune and Uranus.

Coincidentally, like the alignment of celestial bodies in the night sky, the alignment of statistically significant findings and eye-catching graphs in our analysis lent a certain cosmic flair to our otherwise mundane task. As we delved deeper into the intricacies of our data, the thought of "market forecasting by the stars" seemed simultaneously preposterous and tantalizing.

An added layer of analysis involved exploring the lag effects, as we speculated whether the gravitational interaction between Neptune and Uranus had a delayed impact on the stock price of KO. This temporal dissonance between celestial events and financial outcomes added an element of whimsy to the research process, prompting the occasional quip about "waiting for the stars to align" or "patience being a virtue, even in astronomical finance."

Lastly, to address any potential criticisms of the unconventional nature of our investigation, the research team conducted robustness checks and sensitivity analyses to validate the findings. Additionally, to imbue a sense of cosmic humor, we carefully crafted a section in the paper titled "The Celestial Punchline: Exploring the Implications and Limitations," where we delineated the limitations of our methodology, offering a witty nod to the unexpected synergy between astronomy and finance.

In conclusion, the research methodology adopted in this study integrated astronomical calculations and financial data analysis to explore the curious connection between the distance separating Neptune and Uranus and the stock price of The Coca-Cola Company. This approach married scientific rigor with celestial intrigue, encapsulating the dual essence of empirical investigation and cosmic wonder.

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

Please make up the discussion section of an academic research paper presenting the findings of the connection between The distance between Neptune and Uranus and The Coca-Cola Company's stock price (KO). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Limit your response to 500 tokens.

Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.

Do not write a conclusion. I will add a conclusion after this.

[[TITLE]]
Neptune's Neighbors and the Noteworthy Nectar: An Analysis of the Association between the Distance between Neptune and Uranus and The Coca-Cola Company's stock price

[[ABSTRACT]]
The present study examines the intriguing relationship between the distance separating the planets Neptune and Uranus and the stock price of The Coca-Cola Company (KO). Utilizing data derived from Astropy and LSEG Analytics (Refinitiv), the research team embarked on the whimsical quest to investigate this unusual pairing. Remarkably, our analysis unveiled a striking correlation coefficient of 0.9693957, with a statistically significant p-value (p < 0.01) during the timespan spanning from 2002 to 2023.

Our findings suggest a noteworthy link between the two seemingly disparate entities, prompting us to ponder the cosmic forces at play in the realm of finance. Perhaps, as Neptune and Uranus engage in a celestial tango through the cosmos, their gravitational pull exerts a subtle yet discernible influence on the market performance of The Coca-Cola Company. This yields a new interpretation of the adage "buy when the stars align" – or rather, when the planets align!

To illustrate, the humorous notion could be posited that as the distance between Neptune and Uranus widens, the stock price of KO experiences a "downward spiral" – a cosmic conundrum indeed! This comedic juxtaposition of celestial dynamics and financial phenomena adds a lighthearted twist to the realm of empirical investigation, fostering a fusion of intellect and amusement.

[[LITERATURE REVIEW]]
Previous academic studies have delved into the realms of celestial bodies and financial markets, probing for improbable connections much like a determined prospector sifting through rubble in search of gold. Smith and Doe (2015) presented the groundbreaking exploration of planetary distances and stock prices, establishing a framework for investigating the interstellar market influences. Similarly, Jones (2017) contributed to this expanding body of literature, shedding light on the potential correlation between cosmic events and economic indicators.
Now, turning to non-fiction texts, "Cosmic Coincidences" by John Gribbin and "Astro-Economics: A Study of Astrology with the Stock Market" by Olga Morales offer intriguing insights into celestial phenomena and their purported impact on financial affairs, albeit with varying levels of empirical rigor.
In the realm of fiction, Greg Egan's "Diaspora" and Arthur C. Clarke's "2001: A Space Odyssey" may not directly address the association between planetary distances and stock prices, but their imaginative narratives evoke a sense of cosmic wonder and the boundless possibilities of the universe.
Furthermore, the cinematic medium provides an avenue for tangential exploration, with movies such as "The Wolf of Wall Street" and "Interstellar" offering glimpses into the turbulent world of finance and the enigmatic allure of outer space. While not directly aligned with the specific focus of this study, these cultural artifacts serve as a reminder of the intricate interplay between human endeavors and the cosmic expanse.
It is with this backdrop of varied and eclectic sources that the present study embarks on its mission to unravel the enthralling association between the distance separating Neptune and Uranus and the stock price of The Coca-Cola Company.

[[RESULTS]]
The analysis revealed a remarkably strong positive correlation between the distance separating Neptune and Uranus and the stock price of The Coca-Cola Company (KO) during the period from 2002 to 2023. The correlation coefficient of 0.9693957 signifies a nearly perfect positive linear relationship, indicating that as the distance between these planetary neighbors changes, so too does the stock price of KO. This robust association between celestial distances and financial metrics is indeed a stellar discovery.
Fig. 1 displays a scatterplot that visually encapsulates the striking correlation, portraying the alignment of data points in a manner reminiscent of the alignment of celestial bodies in the vast expanse of space.
It is important to note that correlation does not imply causation, as stressed by the venerable dad joke: "I used to play piano by ear, but now I use my hands." Keeping this in mind, it is imperative to exercise caution in attributing the fluctuations in stock price to the cosmic dance of Neptune and Uranus. However, the statistical significance of the correlation, with an r-squared of 0.9397280 and a p-value of less than 0.01, lends credence to the authenticity of the relationship.
In considering the implications of these findings, one cannot help but mull over another classic dad joke: "What did one ocean say to the other ocean? Nothing, they just waved." Similarly, the gravitational interplay between distant planets and financial markets seemingly "waves" at us, beckoning us to explore the unconventional connections that transcend conventional wisdom.
In conclusion, the results of this study shed light on a peculiar yet captivating correlation, prompting further inquiry into the cosmic influence on earthly affairs. As we reflect on this celestial-coke convergence, we are reminded of the timeless wisdom that "the universe is under no obligation to make sense to you." Thus, while we may never fully fathom the cosmic intricacies at play, we can continue to marvel at the wondrous interplay of astronomical phenomena and economic indicators.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The present study has illuminated a fascinating association between the distance separating Neptune and Uranus and the stock price of The Coca-Cola Company (KO). Our findings align with previous scholarly endeavors, thereby cementing the gravity of the relationship between celestial dynamics and financial fluctuations. Smith and Doe (2015) and Jones (2017) laid the groundwork for our investigation, and our results similarly bolster the notion that cosmic forces may exert a discernible influence on market performance. Thus, it appears that the celestial dance of Neptune and Uranus could indeed influence the earthly fortunes of The Coca-Cola Company.

As we contemplate this cosmic-coke convergence, one cannot help but be reminded of the timeless wisdom encapsulated in the dad joke: "I told my wife she should embrace her mistakes. She gave me a hug." Just as the embrace of mistakes can lead to newfound understanding, our study nudges us to embrace the unconventional connections that transcend traditional paradigms of financial analysis.

The robust correlation coefficient of 0.9693957 begs the question: "What do you get when you cross a snowman and a vampire? Frostbite." In a similarly chilling yet intriguing manner, the correlation coefficient sends shivers down the spine, emphasizing the significant association between planetary distances and stock prices. While causation cannot be inferred purely based on correlation, the statistical significance of our findings calls for a deeper investigation into the cosmic forces at play in the realm of finance.

The scatterplot presented in Fig. 1 serves as a visual testament to the remarkable alignment of data points, resembling the harmonious choreography of celestial bodies in the cosmic ballet. Just as dancers sway and pivot in rhythmic harmony, so too does the stock price of KO appear to be swayed by the celestial interplay of Neptune and Uranus. This visual representation encapsulates the ethereal nature of our findings, prompting a fusion of intellectual contemplation and cosmic amusement.

In pondering the implications of our results, the classic dad joke rings true: "I only know 25 letters of the alphabet. I don't know y." Similarly, while we may not fully comprehend the reasons behind the cosmic connection to stock prices, our findings nudge us to explore the enigmatic allure of celestial influences on financial affairs. Indeed, much like the ocean waves beckoning travelers, the gravitational interplay between distant planets and earthly markets waves at us, inviting further exploration of this unconventional union.

In sum, our study presents a peculiar yet captivating correlation that paves the way for continued inquiry into the cosmic influence on financial markets. As we navigate the cosmic expanse and financial terrain, we are reminded of the profound truth that "the universe is under no obligation to make sense to you." This study not only sheds light on the captivating correlation between celestial distances and stock prices but also underscores the boundless possibilities of interdisciplinary exploration, where the seemingly improbable alignments yield enlightening discoveries.

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

Please make up a short conclusion of an academic research paper presenting the findings of the connection between The distance between Neptune and Uranus and The Coca-Cola Company's stock price (KO). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Neptune's Neighbors and the Noteworthy Nectar: An Analysis of the Association between the Distance between Neptune and Uranus and The Coca-Cola Company's stock price

[[ABSTRACT]]
The present study examines the intriguing relationship between the distance separating the planets Neptune and Uranus and the stock price of The Coca-Cola Company (KO). Utilizing data derived from Astropy and LSEG Analytics (Refinitiv), the research team embarked on the whimsical quest to investigate this unusual pairing. Remarkably, our analysis unveiled a striking correlation coefficient of 0.9693957, with a statistically significant p-value (p < 0.01) during the timespan spanning from 2002 to 2023.

Our findings suggest a noteworthy link between the two seemingly disparate entities, prompting us to ponder the cosmic forces at play in the realm of finance. Perhaps, as Neptune and Uranus engage in a celestial tango through the cosmos, their gravitational pull exerts a subtle yet discernible influence on the market performance of The Coca-Cola Company. This yields a new interpretation of the adage "buy when the stars align" – or rather, when the planets align!

To illustrate, the humorous notion could be posited that as the distance between Neptune and Uranus widens, the stock price of KO experiences a "downward spiral" – a cosmic conundrum indeed! This comedic juxtaposition of celestial dynamics and financial phenomena adds a lighthearted twist to the realm of empirical investigation, fostering a fusion of intellect and amusement.

[[INTRDUCTION]]
The relationship between celestial bodies and earthly matters has long intrigued humanity, prompting speculation and wonder about the potential influence of cosmic forces on our everyday experiences. In the context of financial markets, the notion of celestial bodies impacting stock prices may evoke skepticism and amusement in equal measure. The juxtaposition of Neptune and Uranus, the distant neighbors in our solar system, with the stock price of The Coca-Cola Company (KO) presents an unlikely pairing, akin to a cosmic "dad joke" in the realm of empirical research.
As we delve into the depths of this unconventional association, we are reminded of the classic dad joke: "Why don't scientists trust atoms? Because they make up everything." Similarly, we approach the investigation with an open mind, acknowledging the potential for surprising correlations and the tedious task of distinguishing causation from mere correlation.
The aim of this study is not only to scrutinize the statistical significance of the relationship between the distance separating Neptune and Uranus and the stock price of KO but also to illuminate the potential mechanisms underlying such an association. In doing so, we bridge the gap between the esoteric world of planetary movement and the pragmatic realm of finance, prompting a chuckle at the unexpected convergence of astrophysics and stock market trends.
Upon pondering the unexpected interplay between celestial mechanics and market dynamics, one is tempted to invoke another dad joke: "I told my wife she should embrace her mistakes. She gave me a hug." Likewise, the inherent paradox of our investigation elicits a bemused sentiment, leading us to navigate through the research with both gravity and levity in equal measure.

[[RESULTS]]
The analysis revealed a remarkably strong positive correlation between the distance separating Neptune and Uranus and the stock price of The Coca-Cola Company (KO) during the period from 2002 to 2023. The correlation coefficient of 0.9693957 signifies a nearly perfect positive linear relationship, indicating that as the distance between these planetary neighbors changes, so too does the stock price of KO. This robust association between celestial distances and financial metrics is indeed a stellar discovery.
Fig. 1 displays a scatterplot that visually encapsulates the striking correlation, portraying the alignment of data points in a manner reminiscent of the alignment of celestial bodies in the vast expanse of space.
It is important to note that correlation does not imply causation, as stressed by the venerable dad joke: "I used to play piano by ear, but now I use my hands." Keeping this in mind, it is imperative to exercise caution in attributing the fluctuations in stock price to the cosmic dance of Neptune and Uranus. However, the statistical significance of the correlation, with an r-squared of 0.9397280 and a p-value of less than 0.01, lends credence to the authenticity of the relationship.
In considering the implications of these findings, one cannot help but mull over another classic dad joke: "What did one ocean say to the other ocean? Nothing, they just waved." Similarly, the gravitational interplay between distant planets and financial markets seemingly "waves" at us, beckoning us to explore the unconventional connections that transcend conventional wisdom.
In conclusion, the results of this study shed light on a peculiar yet captivating correlation, prompting further inquiry into the cosmic influence on earthly affairs. As we reflect on this celestial-coke convergence, we are reminded of the timeless wisdom that "the universe is under no obligation to make sense to you." Thus, while we may never fully fathom the cosmic intricacies at play, we can continue to marvel at the wondrous interplay of astronomical phenomena and economic indicators.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our investigation into the unexpected correlation between the distance separating the planets Neptune and Uranus and the stock price of The Coca-Cola Company (KO) has yielded remarkable insights. The nearly perfect positive linear relationship, with a correlation coefficient of 0.9693957 and a statistically significant p-value, underscores the intriguing nature of this celestial-coke convergence.

The findings of this study may spark some cosmic curiosity among investors and astronomers alike. One might even say it lends a whole new meaning to the phrase "reach for the stars" – or, in this case, invest in them! *rimshot*

The humorous juxtaposition of planetary dynamics and market performance evokes a sense of wonder, akin to the timeless riddle: "Why don't skeletons fight each other? They don't have the guts." Similarly, as we grapple with the enigmatic connection between celestial movements and stock prices, we are reminded of the intricacies underlying this peculiar correlation.

As we contemplate the cosmic dance of Neptune and Uranus exerting a mysterious influence on the financial realm, one cannot help but marvel at the capriciousness of the universe. In a sense, it echoes the sentiment of another classic dad joke: "I used to be a baker, but I couldn't make enough dough." Indeed, the cosmic forces at play hold the potential to impact the dough of many a daring investor in unforeseen ways.

Ultimately, our findings underscore the notion that amidst the vastness of the cosmos, there exist unexpected threads weaving together the celestial and the terrestrial. While further research in this area could yield additional cosmic conundrums and financial revelations, we assert that the current study effectively establishes the noteworthy link between Neptune's neighbors and The Coca-Cola Company's stock price. No more research is needed in this area.

Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of academic journals. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding research, scientific, or academic journal that would publish a paper entited Neptune's Neighbors and the Noteworthy Nectar: An Analysis of the Association between the Distance between Neptune and Uranus and The Coca-Cola Company's stock price. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Planetary Economics and Beverage Studies

Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of nonprofit research organizations and associations. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding nonprofit, academic, or scientific association or organization that would sponsor research that resulted in a paper entited Neptune's Neighbors and the Noteworthy Nectar: An Analysis of the Association between the Distance between Neptune and Uranus and The Coca-Cola Company's stock price. Respond only with the name of a fictional organization.

ChatGPT:

The Planetary Dynamics and Beverage Economics Research Institute

Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled Neptune's Neighbors and the Noteworthy Nectar: An Analysis of the Association between the Distance between Neptune and Uranus and The Coca-Cola Company's stock price with an abstract of The present study examines the intriguing relationship between the distance separating the planets Neptune and Uranus and the stock price of The Coca-Cola Company (KO). Utilizing data derived from Astropy and LSEG Analytics (Refinitiv), the research team embarked on the whimsical quest to investigate this unusual pairing. Remarkably, our analysis unveiled a striking correlation coefficient of 0.9693957, with a statistically significant p-value (p < 0.01) during the timespan spanning from 2002 to 2023.
Our findings suggest a noteworthy link between the two seemingly disparate entities, prompting us to ponder the cosmic forces at play in the realm of finance. Perhaps, as Neptune and Uranus engage in a celestial tango through the cosmos, their gravitational pull exerts a subtle yet discernible influence on the market performance of The Coca-Cola Company. This yields a new interpretation of the adage "buy when the stars align" – or rather, when the planets align!
To illustrate, the humorous notion could be posited that as the distance between Neptune and Uranus widens, the stock price of KO experiences a "downward spiral" – a cosmic conundrum indeed! This comedic juxtaposition of celestial dynamics and financial phenomena adds a lighthearted twist to the realm of empirical investigation, fostering a fusion of intellect and amusement.

ChatGPT:

Neptune, Uranus, Coca-Cola Company, KO stock price, celestial influences on stock market, correlation between planet distance and stock price, AstroPy data, LSEG Analytics, Refinitiv, cosmic factors in finance, Neptune and Uranus planetary positions, stock market correlation with celestial bodies

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

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Data details

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

See what else correlates with The distance between Neptune and Uranus

The Coca-Cola Company's stock price (KO)
Detailed data title: Opening price of The Coca-Cola Company (KO) 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 The Coca-Cola Company's stock price (KO)

Correlation r = 0.9693957 (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 = 0.9397280 (Coefficient of determination)
This means 94% of the change in the one variable (i.e., The Coca-Cola Company's stock price (KO)) 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 1.1E-13.^Show 0.0000000000001146550296887170
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 0.97 in 1.1E-11% of random cases. Said differently, if you correlated 8,721,815,368,370 random variables^Note You don't actually need 8 trillion 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, 0.99 ] 95% correlation confidence interval (using the Fisher z-transformation)
^{Read more about the confidence interval} The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

This one is a bit more complciated than the other calculations, but I include it because many people have been pushing for confidence intervals instead of p-value calculations (for example: NEJM. However, if you are dredging data, you can reliably find yourself in the 5%. That's my goal!

All values for the years included above: ^Note If I were being very sneaky, I could trim years from the beginning or end of the datasets to increase the correlation on some pairs of variables. I don't do that because there are already plenty of correlations in my database without monkeying with the years.

Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.

	2002	2003	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021	2022	2023
The distance between Neptune and Uranus (Planetary distance (AU))	12.3947	12.8119	13.2579	13.7275	14.218	14.727	15.2532	15.7925	16.3438	16.906	17.4791	18.0597	18.6476	19.2423	19.8443	20.4507	21.0616	21.6768	22.2973	22.9204	23.5465	24.1757
The Coca-Cola Company's stock price (KO) (Stock price)	23.4	22.08	25.4	20.95	20.4	24.18	30.73	22.7	28.58	32.94	35.08	36.99	41.12	42.26	42.34	41.5	45.91	46.94	55.32	54.27	58.82	63.56

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.

Try it yourself

You can calculate the values on this page on your own! Try running the Python code to see the calculation results. ^{Show the steps to do this.} Step 1: Download and install Python on your computer.

Step 2: Open a plaintext editor like Notepad and paste the code below into it.

Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"

Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.

Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.

Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.

Step 7: Run the Python script by typing "python calculate_correlation.py"

If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:

"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."

# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats

# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):

    # Calculate Pearson correlation coefficient and p-value
    correlation, p_value = stats.pearsonr(array1, array2)

    # Calculate R-squared as the square of the correlation coefficient
    r_squared = correlation**2

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([12.3947,12.8119,13.2579,13.7275,14.218,14.727,15.2532,15.7925,16.3438,16.906,17.4791,18.0597,18.6476,19.2423,19.8443,20.4507,21.0616,21.6768,22.2973,22.9204,23.5465,24.1757,])
array_2 = np.array([23.4,22.08,25.4,20.95,20.4,24.18,30.73,22.7,28.58,32.94,35.08,36.99,41.12,42.26,42.34,41.5,45.91,46.94,55.32,54.27,58.82,63.56,])
array_1_name = "The distance between Neptune and Uranus"
array_2_name = "The Coca-Cola Company's stock price (KO)"

# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)

# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)

Reuseable content

You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. ^Note Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.

You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.

For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."

When spoken, my last name is pronounced "vegan," like I don't eat meat.

Full license details.
For more on re-use permissions, or to get a signed release form, see tylervigen.com/permission.

Download images for these variables:

High resolution line chart ^Note The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.

If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.

Alternatively you can use a tool like Inkscape.
High resolution line chart, optimized for mobile
Alternative high resolution line chart
Scatterplot
Portable line chart (png)
Portable line chart (png), optimized for mobile
Line chart for only The distance between Neptune and Uranus
Line chart for only The Coca-Cola Company's stock price (KO)
AI-generated correlation image
The spurious research paper: Neptune's Neighbors and the Noteworthy Nectar: An Analysis of the Association between the Distance between Neptune and Uranus and The Coca-Cola Company's stock price

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Correlation ID: 1722 · Black Variable ID: 1967 · Red Variable ID: 1565


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