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AI explanation
As the 'press f to pay respects' meme gained popularity, it led to an increase in internet traffic and keyboard usage. This higher demand for keyboards meant that more electronic components, including small parts manufactured by companies like Boeing, were needed. The surge in stock price for Boeing can be directly correlated to the unexpected meme-inspired need for their products, as the keyboard epidemic took hold of the nation.Create a meme inspired by the press f to pay respects meme that in some way references Boeing's stock price (BA). Try to emulate the style of the meme - don’t violate the copyright, just make it look and feel like the original meme.
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how increases in Popularity of the 'press f to pay respects' meme positively influenced Boeing's stock price (BA).
AI academic paper
From lol to low: The Popularity of the 'press f to pay respects' meme and its Impact on Boeing's Stock Price The Journal of Internet Memetics and Financial Markets Jan 2024 Reminder: This paper is AI-generated. Not real! |
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 Popularity of the 'press f to pay respects' meme and Boeing's stock price (BA). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Include a pun in the title.
Your research team used data from Google Trends and LSEG Analytics (Refinitiv) to assess this nagging question. You found a correlation coefficient of 0.9129951 and p < 0.01 for 2006 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]]
From lol to low: The Popularity of the 'press f to pay respects' meme and its Impact on Boeing's Stock Price
[[ABSTRACT]]
This study investigates the link between the viral meme "press f to pay respects" and the stock price of Boeing Co. (BA) from 2006 to 2023. Utilizing data from Google Trends and LSEG Analytics (Refinitiv), we analyze the prevalence of the meme in popular culture and its potential impact on Boeing's financial performance. Our research uncovers a remarkably high correlation coefficient of 0.9129951 and a significant p-value of less than 0.01, illustrating a strong association between the meme's virality and the fluctuations in Boeing's stock price. This unexpected relationship sheds light on the potential influence of internet culture on financial markets, demonstrating that even the most lighthearted online phenomena can have real-world implications. This paper aims to provoke both laughter and contemplation, as we navigate the serious business of memeomics and stock market dynamics.
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 Popularity of the 'press f to pay respects' meme and Boeing's stock price (BA). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
Here is the title and abstract of the paper:
[[TITLE]]
From lol to low: The Popularity of the 'press f to pay respects' meme and its Impact on Boeing's Stock Price
[[ABSTRACT]]
This study investigates the link between the viral meme "press f to pay respects" and the stock price of Boeing Co. (BA) from 2006 to 2023. Utilizing data from Google Trends and LSEG Analytics (Refinitiv), we analyze the prevalence of the meme in popular culture and its potential impact on Boeing's financial performance. Our research uncovers a remarkably high correlation coefficient of 0.9129951 and a significant p-value of less than 0.01, illustrating a strong association between the meme's virality and the fluctuations in Boeing's stock price. This unexpected relationship sheds light on the potential influence of internet culture on financial markets, demonstrating that even the most lighthearted online phenomena can have real-world implications. This paper aims to provoke both laughter and contemplation, as we navigate the serious business of memeomics and stock market dynamics.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
In the age of the internet, where cat videos have equal footing with economic forecasts, uncovering the peculiar relationships between online phenomena and financial markets has become an intriguing pursuit. The proliferation of memes, those quirky, often nonsensical pieces of internet culture, has captivated the attention of researchers in recent years. Memes, originally thought to be the domain of bored college students and procrastinating office workers, are now being scrutinized for their potential impact on various facets of society, from political discourse to consumer behavior. In this vein, we present our venture into the uncharted territory of memeomics, where we seek to unravel the enigmatic connection between the "press f to pay respects" meme and the fluctuations in the stock price of Boeing Co. (BA).
It is not uncommon for those steeped in the analytical world of financial markets to express consternation at the idea of devoting serious inquiry to such seemingly frivolous internet novelties. However, our preliminary investigation has yielded intriguing findings that astound even the most stoic of econometricians. The evidence we present challenges conventional notions of market determinants and raises the tantalizing prospect that the whims of online culture may have tangible effects on the hallowed halls of Wall Street.
As we embark on this unconventional adventure, we implore the reader to suspend disbelief and embrace the merry chaos of our inquiry. The intersection of memeology and stock market dynamics provides an abundance of opportunities for witticisms and whimsy, keeping in mind that statistical significance need not preclude levity. So, buckle up and prepare for a journey through the interwebs and ticker symbols, where 'lol' meets 'low', and the allure of meme magic dances with the chimes of the closing bell.
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 Popularity of the 'press f to pay respects' meme and Boeing's stock price (BA). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.
Make up the lorem and ipsum part, but make it sound related to the topic at hand.
Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then devolve ever further, and mention something completely ridiculous, like you conducted literature review by reading CVS receipts.
Here is the title and abstract of the paper:
[[TITLE]]
From lol to low: The Popularity of the 'press f to pay respects' meme and its Impact on Boeing's Stock Price
[[ABSTRACT]]
This study investigates the link between the viral meme "press f to pay respects" and the stock price of Boeing Co. (BA) from 2006 to 2023. Utilizing data from Google Trends and LSEG Analytics (Refinitiv), we analyze the prevalence of the meme in popular culture and its potential impact on Boeing's financial performance. Our research uncovers a remarkably high correlation coefficient of 0.9129951 and a significant p-value of less than 0.01, illustrating a strong association between the meme's virality and the fluctuations in Boeing's stock price. This unexpected relationship sheds light on the potential influence of internet culture on financial markets, demonstrating that even the most lighthearted online phenomena can have real-world implications. This paper aims to provoke both laughter and contemplation, as we navigate the serious business of memeomics and stock market dynamics.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
In the age of the internet, where cat videos have equal footing with economic forecasts, uncovering the peculiar relationships between online phenomena and financial markets has become an intriguing pursuit. The proliferation of memes, those quirky, often nonsensical pieces of internet culture, has captivated the attention of researchers in recent years. Memes, originally thought to be the domain of bored college students and procrastinating office workers, are now being scrutinized for their potential impact on various facets of society, from political discourse to consumer behavior. In this vein, we present our venture into the uncharted territory of memeomics, where we seek to unravel the enigmatic connection between the "press f to pay respects" meme and the fluctuations in the stock price of Boeing Co. (BA).
It is not uncommon for those steeped in the analytical world of financial markets to express consternation at the idea of devoting serious inquiry to such seemingly frivolous internet novelties. However, our preliminary investigation has yielded intriguing findings that astound even the most stoic of econometricians. The evidence we present challenges conventional notions of market determinants and raises the tantalizing prospect that the whims of online culture may have tangible effects on the hallowed halls of Wall Street.
As we embark on this unconventional adventure, we implore the reader to suspend disbelief and embrace the merry chaos of our inquiry. The intersection of memeology and stock market dynamics provides an abundance of opportunities for witticisms and whimsy, keeping in mind that statistical significance need not preclude levity. So, buckle up and prepare for a journey through the interwebs and ticker symbols, where 'lol' meets 'low', and the allure of meme magic dances with the chimes of the closing bell.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
In "The Impact of Online Culture on Financial Markets," Smith et al. explore the potential influence of internet phenomena on stock prices. Their analysis focuses on the correlation between the prevalence of viral memes and market fluctuations, revealing intriguing patterns that defy traditional economic models. In a similar vein, Doe and Jones investigate "The Power of Social Media in Shaping Market Sentiment," shedding light on how online trends can sway investor behavior and impact asset prices. These studies highlight the growing recognition of the interplay between digital culture and financial markets, setting the stage for our examination of the 'press f to pay respects' meme and its effects on Boeing's stock price.
Moving beyond the confines of traditional research, the work of Johnson in "Memes and the Modern Mind: A Psychological Perspective" offers insights into the psychological underpinnings of meme consumption and propagation. While not explicitly focused on financial implications, Johnson's exploration of the cognitive processes behind meme engagement provides a valuable backdrop for understanding the broader societal impact of internet culture. Additionally, the analysis of internet virality in "Viral: How Social Networking Is Poised to Ignite Revivals" by Kitts et al. offers a broader perspective on the significance of online trends, inspiring our investigation into the potential market reverberations of a seemingly innocuous meme.
Transitioning into the realm of popular literature, works such as "The Meme Economy: A Comprehensive Guide" by Gutenberg and "Meme Magic: Unraveling the Secrets of Internet Virality" by Rowling, while not academic treatises, provide anecdotal evidence of the societal fascination with memes and their pervasive influence on contemporary communication. Furthermore, fiction novels like "The Unbearable Lightness of Being Memes" by Kundera and "Meme and Prejudice" by Austen (albeit unrelated to internet memes) showcase the enduring cultural fascination with fleeting trends and societal norms.
Venturing into unconventional sources, the authors turned to an unlikely repository of wisdom – the humble CVS receipts. In a surprising turn of events, a thorough perusal of seemingly endless receipts offered no direct insights into the meme-stock nexus, however, it did lead to the discovery of an inexplicable affinity for coupons and the realization that perhaps the true value of a meme lies not in its financial impact, but in the joy it brings amidst the monotony of everyday life.
Armed with a diverse array of perspectives, both serious and whimsical, we set out to unravel the conundrum of how a digital refrain to "press f to pay respects" could resonate through the hallowed halls of finance, proving once and for all that even in the world of stocks and bonds, a good meme is worth its weight in digital gold.
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 Popularity of the 'press f to pay respects' meme and Boeing's stock price (BA). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
Your research team collected data from all across the internet, but mostly just used information from Google Trends and LSEG Analytics (Refinitiv) . You used data from 2006 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]]
From lol to low: The Popularity of the 'press f to pay respects' meme and its Impact on Boeing's Stock Price
[[ABSTRACT]]
This study investigates the link between the viral meme "press f to pay respects" and the stock price of Boeing Co. (BA) from 2006 to 2023. Utilizing data from Google Trends and LSEG Analytics (Refinitiv), we analyze the prevalence of the meme in popular culture and its potential impact on Boeing's financial performance. Our research uncovers a remarkably high correlation coefficient of 0.9129951 and a significant p-value of less than 0.01, illustrating a strong association between the meme's virality and the fluctuations in Boeing's stock price. This unexpected relationship sheds light on the potential influence of internet culture on financial markets, demonstrating that even the most lighthearted online phenomena can have real-world implications. This paper aims to provoke both laughter and contemplation, as we navigate the serious business of memeomics and stock market dynamics.
[[INTRODUCTION]]
In the age of the internet, where cat videos have equal footing with economic forecasts, uncovering the peculiar relationships between online phenomena and financial markets has become an intriguing pursuit. The proliferation of memes, those quirky, often nonsensical pieces of internet culture, has captivated the attention of researchers in recent years. Memes, originally thought to be the domain of bored college students and procrastinating office workers, are now being scrutinized for their potential impact on various facets of society, from political discourse to consumer behavior. In this vein, we present our venture into the uncharted territory of memeomics, where we seek to unravel the enigmatic connection between the "press f to pay respects" meme and the fluctuations in the stock price of Boeing Co. (BA).
It is not uncommon for those steeped in the analytical world of financial markets to express consternation at the idea of devoting serious inquiry to such seemingly frivolous internet novelties. However, our preliminary investigation has yielded intriguing findings that astound even the most stoic of econometricians. The evidence we present challenges conventional notions of market determinants and raises the tantalizing prospect that the whims of online culture may have tangible effects on the hallowed halls of Wall Street.
As we embark on this unconventional adventure, we implore the reader to suspend disbelief and embrace the merry chaos of our inquiry. The intersection of memeology and stock market dynamics provides an abundance of opportunities for witticisms and whimsy, keeping in mind that statistical significance need not preclude levity. So, buckle up and prepare for a journey through the interwebs and ticker symbols, where 'lol' meets 'low', and the allure of meme magic dances with the chimes of the closing bell.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
Data Collection:
The first step in our zany quest involved collecting data from the vast expanse of the internet. We scoured the virtual landscape, trawling through the bountiful sea of information like intrepid digital pirates in search of treasure. Our primary sources were Google Trends and LSEG Analytics (Refinitiv). Google Trends provided us with a gauge of the meme's popularity over time, allowing us to measure its virality with as much precision as one can expect from the mercurial world of internet trends. LSEG Analytics, on the other hand, furnished us with the delightful numbers and figures that delineate the ebbs and flows of Boeing's stock price, allowing us to scrutinize the whimsical dance of market dynamics.
Data Analysis:
Once we had gathered our virtual bounty, we set about the meticulous task of data analysis. Our quantitative analysis involved a fusion of statistical techniques, mathematical wizardry, and a touch of whimsical intuition. We examined the correlation between the prevalence of the "press f to pay respects" meme and Boeing's stock price using a cocktail of sophisticated statistical tools. We constructed elegant regression models that allowed us to tease out the potential influence of the meme's virality on the fluctuations in stock price. We also employed a medley of time-series analyses to delve into the temporal relationship between meme propagation and stock market perturbations. As we waded through the murky waters of memes and market data, we were guided by the guiding principle that a good statistical pun is its own reword.
Control Variables:
In our pursuit of scholarly hilarity, we were mindful of the need to control for extraneous factors that might confound our analysis. Thus, we included an array of control variables in our models, ranging from economic indicators to esoteric measures of internet traffic. These control variables served as the quizzical sidekicks in our statistical odyssey, aiding us in disentangling the confounding influence of external forces on the flamboyant waltz of meme power and market kinetics.
Ethical Considerations:
In the pursuit of memeological enlightenment, we also adhered to the hallowed principles of research ethics. While the realm of internet memes is replete with temptations to indulge in the nonsensical and the absurd, we remained steadfast in our commitment to academic integrity and empirical rigor. Our data collection and analysis were conducted with the prudence of a scholarly comedian, ensuring that our findings were as robust as a jester's wit.
Limitations:
No research endeavor is without its quirks and idiosyncrasies. Our study, with all its mirth and merriment, is no exception. We encountered limitations in the availability and quality of data, as well as the inherent unpredictability of internet culture. The rapid evolution of memes and market dynamics posed a delightful challenge, requiring us to adapt our analytical approach with the agility of a virtual acrobat. Furthermore, the whimsical nature of memes themselves presented us with the delightful conundrum of capturing their essence in quantitative form. Despite these jovial hurdles, we persevered in our pursuit of scholarly whimsy, knowing full well that the most rewarding adventures are often the most enigmatic.
In conclusion, our research methodology was a harmonious blend of statistical rigor and intellectual levity, reflecting our steadfast commitment to unearthing the remarkable connection between internet mystique and market intrigue. With a twinkle in our eye and a spring in our step, we ventured into the labyrinthine realm of memeomics and stock market dynamics, guided by the belief that statistical inquiry need not be bereft of whimsy.
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 Popularity of the 'press f to pay respects' meme and Boeing's stock price (BA). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
Your research team collected data from all across the internet, but mostly just used information from Google Trends and LSEG Analytics (Refinitiv) .
For the time period 2006 to 2023, you found a correlation 0.9129951, r-squared of 0.8335601, 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]]
From lol to low: The Popularity of the 'press f to pay respects' meme and its Impact on Boeing's Stock Price
[[ABSTRACT]]
This study investigates the link between the viral meme "press f to pay respects" and the stock price of Boeing Co. (BA) from 2006 to 2023. Utilizing data from Google Trends and LSEG Analytics (Refinitiv), we analyze the prevalence of the meme in popular culture and its potential impact on Boeing's financial performance. Our research uncovers a remarkably high correlation coefficient of 0.9129951 and a significant p-value of less than 0.01, illustrating a strong association between the meme's virality and the fluctuations in Boeing's stock price. This unexpected relationship sheds light on the potential influence of internet culture on financial markets, demonstrating that even the most lighthearted online phenomena can have real-world implications. This paper aims to provoke both laughter and contemplation, as we navigate the serious business of memeomics and stock market dynamics.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
In the age of the internet, where cat videos have equal footing with economic forecasts, uncovering the peculiar relationships between online phenomena and financial markets has become an intriguing pursuit. The proliferation of memes, those quirky, often nonsensical pieces of internet culture, has captivated the attention of researchers in recent years. Memes, originally thought to be the domain of bored college students and procrastinating office workers, are now being scrutinized for their potential impact on various facets of society, from political discourse to consumer behavior. In this vein, we present our venture into the uncharted territory of memeomics, where we seek to unravel the enigmatic connection between the "press f to pay respects" meme and the fluctuations in the stock price of Boeing Co. (BA).
It is not uncommon for those steeped in the analytical world of financial markets to express consternation at the idea of devoting serious inquiry to such seemingly frivolous internet novelties. However, our preliminary investigation has yielded intriguing findings that astound even the most stoic of econometricians. The evidence we present challenges conventional notions of market determinants and raises the tantalizing prospect that the whims of online culture may have tangible effects on the hallowed halls of Wall Street.
As we embark on this unconventional adventure, we implore the reader to suspend disbelief and embrace the merry chaos of our inquiry. The intersection of memeology and stock market dynamics provides an abundance of opportunities for witticisms and whimsy, keeping in mind that statistical significance need not preclude levity. So, buckle up and prepare for a journey through the interwebs and ticker symbols, where 'lol' meets 'low', and the allure of meme magic dances with the chimes of the closing bell.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The data analysis revealed a striking relationship between the prevalence of the "press f to pay respects" meme and the stock price of Boeing Co. (BA) over the period from 2006 to 2023. We found a remarkably high correlation coefficient of 0.9129951, indicating a strong positive association between the popularity of the meme and the fluctuations in Boeing's stock price. The r-squared value of 0.8335601 further substantiates this robust correlation, suggesting that approximately 83.36% of the variability in Boeing's stock price can be explained by the variation in the popularity of the meme.
Moreover, the p-value of less than 0.01 adds a cherry on top, signifying a statistically significant relationship between the two variables. In other words, there is less than a 1% probability of observing such a strong correlation by chance alone, affirming the legitimacy of our findings. This suggests that the "press f to pay respects" meme's presence in popular culture could indeed have an impact on the financial performance of Boeing, much to the surprise of the skeptics who doubted the influence of internet culture on stock market dynamics.
The scatterplot (Fig. 1) visually captures this remarkable correlation, highlighting the strong positive linear relationship between the meme's virality and Boeing's stock price. The upward trend in the scatterplot mirrors the contagious nature of the meme's popularity, emphasizing its potential to influence the financial market in unforeseen ways.
In summary, our study uncovers an unexpected and substantial connection between the "press f to pay respects" meme and Boeing's stock price. This unexpected relationship challenges traditional notions of market determinants and expands the realm of inquiry into the influence of internet culture on financial markets, reminding us that even the most unassuming online phenomena can have tangible real-world implications. These findings open up new avenues for research at the intersection of memeology and stock market dynamics, and also serve as a gentle reminder that in the realm of academia, serious statistical analysis need not be devoid of humor and whimsy.
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 Popularity of the 'press f to pay respects' meme and Boeing's stock price (BA). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
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]]
From lol to low: The Popularity of the 'press f to pay respects' meme and its Impact on Boeing's Stock Price
[[ABSTRACT]]
This study investigates the link between the viral meme "press f to pay respects" and the stock price of Boeing Co. (BA) from 2006 to 2023. Utilizing data from Google Trends and LSEG Analytics (Refinitiv), we analyze the prevalence of the meme in popular culture and its potential impact on Boeing's financial performance. Our research uncovers a remarkably high correlation coefficient of 0.9129951 and a significant p-value of less than 0.01, illustrating a strong association between the meme's virality and the fluctuations in Boeing's stock price. This unexpected relationship sheds light on the potential influence of internet culture on financial markets, demonstrating that even the most lighthearted online phenomena can have real-world implications. This paper aims to provoke both laughter and contemplation, as we navigate the serious business of memeomics and stock market dynamics.
[[LITERATURE REVIEW]]
In "The Impact of Online Culture on Financial Markets," Smith et al. explore the potential influence of internet phenomena on stock prices. Their analysis focuses on the correlation between the prevalence of viral memes and market fluctuations, revealing intriguing patterns that defy traditional economic models. In a similar vein, Doe and Jones investigate "The Power of Social Media in Shaping Market Sentiment," shedding light on how online trends can sway investor behavior and impact asset prices. These studies highlight the growing recognition of the interplay between digital culture and financial markets, setting the stage for our examination of the 'press f to pay respects' meme and its effects on Boeing's stock price.
Moving beyond the confines of traditional research, the work of Johnson in "Memes and the Modern Mind: A Psychological Perspective" offers insights into the psychological underpinnings of meme consumption and propagation. While not explicitly focused on financial implications, Johnson's exploration of the cognitive processes behind meme engagement provides a valuable backdrop for understanding the broader societal impact of internet culture. Additionally, the analysis of internet virality in "Viral: How Social Networking Is Poised to Ignite Revivals" by Kitts et al. offers a broader perspective on the significance of online trends, inspiring our investigation into the potential market reverberations of a seemingly innocuous meme.
Transitioning into the realm of popular literature, works such as "The Meme Economy: A Comprehensive Guide" by Gutenberg and "Meme Magic: Unraveling the Secrets of Internet Virality" by Rowling, while not academic treatises, provide anecdotal evidence of the societal fascination with memes and their pervasive influence on contemporary communication. Furthermore, fiction novels like "The Unbearable Lightness of Being Memes" by Kundera and "Meme and Prejudice" by Austen (albeit unrelated to internet memes) showcase the enduring cultural fascination with fleeting trends and societal norms.
Venturing into unconventional sources, the authors turned to an unlikely repository of wisdom – the humble CVS receipts. In a surprising turn of events, a thorough perusal of seemingly endless receipts offered no direct insights into the meme-stock nexus, however, it did lead to the discovery of an inexplicable affinity for coupons and the realization that perhaps the true value of a meme lies not in its financial impact, but in the joy it brings amidst the monotony of everyday life.
Armed with a diverse array of perspectives, both serious and whimsical, we set out to unravel the conundrum of how a digital refrain to "press f to pay respects" could resonate through the hallowed halls of finance, proving once and for all that even in the world of stocks and bonds, a good meme is worth its weight in digital gold.
[[RESULTS]]
The data analysis revealed a striking relationship between the prevalence of the "press f to pay respects" meme and the stock price of Boeing Co. (BA) over the period from 2006 to 2023. We found a remarkably high correlation coefficient of 0.9129951, indicating a strong positive association between the popularity of the meme and the fluctuations in Boeing's stock price. The r-squared value of 0.8335601 further substantiates this robust correlation, suggesting that approximately 83.36% of the variability in Boeing's stock price can be explained by the variation in the popularity of the meme.
Moreover, the p-value of less than 0.01 adds a cherry on top, signifying a statistically significant relationship between the two variables. In other words, there is less than a 1% probability of observing such a strong correlation by chance alone, affirming the legitimacy of our findings. This suggests that the "press f to pay respects" meme's presence in popular culture could indeed have an impact on the financial performance of Boeing, much to the surprise of the skeptics who doubted the influence of internet culture on stock market dynamics.
The scatterplot (Fig. 1) visually captures this remarkable correlation, highlighting the strong positive linear relationship between the meme's virality and Boeing's stock price. The upward trend in the scatterplot mirrors the contagious nature of the meme's popularity, emphasizing its potential to influence the financial market in unforeseen ways.
In summary, our study uncovers an unexpected and substantial connection between the "press f to pay respects" meme and Boeing's stock price. This unexpected relationship challenges traditional notions of market determinants and expands the realm of inquiry into the influence of internet culture on financial markets, reminding us that even the most unassuming online phenomena can have tangible real-world implications. These findings open up new avenues for research at the intersection of memeology and stock market dynamics, and also serve as a gentle reminder that in the realm of academia, serious statistical analysis need not be devoid of humor and whimsy.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The results of this study illuminate a previously unexplored linkage between internet meme culture and stock market dynamics, shedding light on the unexpected impact of a seemingly innocuous digital phenomenon on the financial performance of a major corporation. Our findings resonate with previous research by Smith et al. and Doe and Jones, underscoring the increasingly recognized influence of online trends on market sentiment and asset prices. Embracing the peculiarities of memeology, our analysis also echoes the insights of Johnson, delving into the psychological underpinnings of meme engagement to decipher the broader societal reverberations of internet culture.
The significant correlation coefficient and p-value lend weight to our findings, affirming the robustness of the observed association between the 'press f to pay respects' meme and Boeing's stock price. The scatterplot vividly captures the positive linear trend, akin to the contagious nature of memes themselves, and stands as a visual testament to the unexpected intertwining of online virality and market fluctuations. It appears that, in the tumultuous seas of stock prices, even the tiniest ripples of a viral meme can create substantial waves.
While some may dismiss this monumental revelation as a mere flight of fancy, it is essential to recognize that memes, often dismissed as ephemeral, can possess far-reaching consequences. Indeed, as we scrutinize the seemingly capricious world of memeconomics, we must not lose sight of the serious implications that stem from seemingly lighthearted phenomena.
In the wake of these groundbreaking findings, it becomes increasingly evident that the interplay between digital culture and financial markets merits further exploration. The field of memeology, once relegated to the realms of internet humor and whimsy, could hold the key to understanding the intricate web of interactions that shape market dynamics. As we delve deeper into this uncharted territory, let us not forget the amusing twists and turns that led us here – from perusing fictional novels on memes to the unexpected wisdom of CVS receipts, each quirky detour has played a part in unraveling this enigmatic relationship.
In essence, our study has delivered a resounding message: even in the world of stocks and bonds, a well-timed meme can be worth its weight in digital gold, challenging conventional wisdom and ushering in an era of meme-orable market revelations.
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 Popularity of the 'press f to pay respects' meme and Boeing's stock price (BA). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
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]]
From lol to low: The Popularity of the 'press f to pay respects' meme and its Impact on Boeing's Stock Price
[[ABSTRACT]]
This study investigates the link between the viral meme "press f to pay respects" and the stock price of Boeing Co. (BA) from 2006 to 2023. Utilizing data from Google Trends and LSEG Analytics (Refinitiv), we analyze the prevalence of the meme in popular culture and its potential impact on Boeing's financial performance. Our research uncovers a remarkably high correlation coefficient of 0.9129951 and a significant p-value of less than 0.01, illustrating a strong association between the meme's virality and the fluctuations in Boeing's stock price. This unexpected relationship sheds light on the potential influence of internet culture on financial markets, demonstrating that even the most lighthearted online phenomena can have real-world implications. This paper aims to provoke both laughter and contemplation, as we navigate the serious business of memeomics and stock market dynamics.
[[INTRDUCTION]]
In the age of the internet, where cat videos have equal footing with economic forecasts, uncovering the peculiar relationships between online phenomena and financial markets has become an intriguing pursuit. The proliferation of memes, those quirky, often nonsensical pieces of internet culture, has captivated the attention of researchers in recent years. Memes, originally thought to be the domain of bored college students and procrastinating office workers, are now being scrutinized for their potential impact on various facets of society, from political discourse to consumer behavior. In this vein, we present our venture into the uncharted territory of memeomics, where we seek to unravel the enigmatic connection between the "press f to pay respects" meme and the fluctuations in the stock price of Boeing Co. (BA).
It is not uncommon for those steeped in the analytical world of financial markets to express consternation at the idea of devoting serious inquiry to such seemingly frivolous internet novelties. However, our preliminary investigation has yielded intriguing findings that astound even the most stoic of econometricians. The evidence we present challenges conventional notions of market determinants and raises the tantalizing prospect that the whims of online culture may have tangible effects on the hallowed halls of Wall Street.
As we embark on this unconventional adventure, we implore the reader to suspend disbelief and embrace the merry chaos of our inquiry. The intersection of memeology and stock market dynamics provides an abundance of opportunities for witticisms and whimsy, keeping in mind that statistical significance need not preclude levity. So, buckle up and prepare for a journey through the interwebs and ticker symbols, where 'lol' meets 'low', and the allure of meme magic dances with the chimes of the closing bell.
[[RESULTS]]
The data analysis revealed a striking relationship between the prevalence of the "press f to pay respects" meme and the stock price of Boeing Co. (BA) over the period from 2006 to 2023. We found a remarkably high correlation coefficient of 0.9129951, indicating a strong positive association between the popularity of the meme and the fluctuations in Boeing's stock price. The r-squared value of 0.8335601 further substantiates this robust correlation, suggesting that approximately 83.36% of the variability in Boeing's stock price can be explained by the variation in the popularity of the meme.
Moreover, the p-value of less than 0.01 adds a cherry on top, signifying a statistically significant relationship between the two variables. In other words, there is less than a 1% probability of observing such a strong correlation by chance alone, affirming the legitimacy of our findings. This suggests that the "press f to pay respects" meme's presence in popular culture could indeed have an impact on the financial performance of Boeing, much to the surprise of the skeptics who doubted the influence of internet culture on stock market dynamics.
The scatterplot (Fig. 1) visually captures this remarkable correlation, highlighting the strong positive linear relationship between the meme's virality and Boeing's stock price. The upward trend in the scatterplot mirrors the contagious nature of the meme's popularity, emphasizing its potential to influence the financial market in unforeseen ways.
In summary, our study uncovers an unexpected and substantial connection between the "press f to pay respects" meme and Boeing's stock price. This unexpected relationship challenges traditional notions of market determinants and expands the realm of inquiry into the influence of internet culture on financial markets, reminding us that even the most unassuming online phenomena can have tangible real-world implications. These findings open up new avenues for research at the intersection of memeology and stock market dynamics, and also serve as a gentle reminder that in the realm of academia, serious statistical analysis need not be devoid of humor and whimsy.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, our research unearths a fascinating correlation between the whimsical "press f to pay respects" meme and the fluctuations in Boeing's stock price, defying convention and adding a dash of meme magic to the realm of stock market dynamics. The remarkably high correlation coefficient of 0.9129951 and the tantalizingly low p-value of less than 0.01 showcase the unexpected influence of internet culture on financial markets, displaying that even the most frivolous online phenomena can sway stock prices. This study, despite its seemingly lighthearted subject matter, serves as a gentle reminder that statistical analysis need not shy away from the merry chaos of internet memes, and that even the most inconspicuous of cultural artifacts can have tangible effects on the hallowed halls of Wall Street.
As we close the chapter on our exploration of memeomics and stock market dynamics, we reflect on the delightful eccentricities of our inquiry, where 'lol' meets 'low' and the allure of meme magic dances with the chimes of the closing bell. With the witticisms and whimsy that have guided us through this venture, we assert that further research in this area may indeed yield more valuable insights, but, with a twinkle in our eyes and a knowing smile, we declare that the mysteries of memeology and stock market dynamics may have been sufficiently illuminated for now. After all, in the whimsical world of academia, one can never have too many puns or too much statistical significance.
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 From lol to low: The Popularity of the 'press f to pay respects' meme and its Impact on Boeing's Stock Price. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Internet Memetics and Financial Markets
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 From lol to low: The Popularity of the 'press f to pay respects' meme and its Impact on Boeing's Stock Price. Respond only with the name of a fictional organization.
ChatGPT:
The Society for Internet Meme Studies
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 From lol to low: The Popularity of the 'press f to pay respects' meme and its Impact on Boeing's Stock Price with an abstract of This study investigates the link between the viral meme "press f to pay respects" and the stock price of Boeing Co. (BA) from 2006 to 2023. Utilizing data from Google Trends and LSEG Analytics (Refinitiv), we analyze the prevalence of the meme in popular culture and its potential impact on Boeing's financial performance. Our research uncovers a remarkably high correlation coefficient of 0.9129951 and a significant p-value of less than 0.01, illustrating a strong association between the meme's virality and the fluctuations in Boeing's stock price. This unexpected relationship sheds light on the potential influence of internet culture on financial markets, demonstrating that even the most lighthearted online phenomena can have real-world implications. This paper aims to provoke both laughter and contemplation, as we navigate the serious business of memeomics and stock market dynamics.
ChatGPT:
"press f to pay respects meme," "Boeing stock price impact," "viral memes and stock market," "internet culture and financial markets," "Google Trends data analysis," "LSEG Analytics and stock price correlation," "meme virality and stock performance," "memeomics and stock market dynamics," "Boeing Co. (BA) stock price analysis," "online phenomena and real-world implications"
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
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Data details
Popularity of the 'press f to pay respects' memeDetailed data title: Relative volume of Google searches for 'press f to pay respects' (without quotes, in the United States)
Source: Google Trends
Additional Info: Relative search volume is a unique Google thing; the shape of the chart is accurate but the actual numbers are meaningless.
See what else correlates with Popularity of the 'press f to pay respects' meme
Boeing's stock price (BA)
Detailed data title: Opening price of The Boeing Company (BA) on the first trading day of the year
Source: LSEG Analytics (Refinitiv)
Additional Info: Via Microsoft Excel Stockhistory function
See what else correlates with Boeing's stock price (BA)
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 = 0.8335601 (Coefficient of determination)
This means 83.4% of the change in the one variable (i.e., Boeing's stock price (BA)) is predictable based on the change in the other (i.e., Popularity of the 'press f to pay respects' meme) over the 18 years from 2006 through 2023.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.3E-7. 0.0000001253098906236265500000
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 0.91 in 1.3E-5% of random cases. Said differently, if you correlated 7,980,216 random variables You don't actually need 7 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 17 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 17 because we have two variables measured over a period of 18 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.
[ 0.78, 0.97 ] 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.
2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | |
Popularity of the 'press f to pay respects' meme (Relative popularity) | 3.4 | 4.4 | 3.9 | 0 | 0.8 | 1 | 1.36364 | 0.625 | 7.66667 | 19.5 | 17 | 32 | 65 | 62.4167 | 45.5 | 18.4167 | 17.0833 | 13.5 |
Boeing's stock price (BA) (Stock price) | 70.4 | 88.9 | 87.57 | 42.8 | 55.72 | 66.15 | 74.7 | 76.55 | 136.01 | 131.07 | 141.38 | 156.3 | 295.75 | 316.19 | 328.55 | 210 | 204 | 192.95 |
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
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
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. 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([3.4,4.4,3.9,0,0.8,1,1.36364,0.625,7.66667,19.5,17,32,65,62.4167,45.5,18.4167,17.0833,13.5,])
array_2 = np.array([70.4,88.9,87.57,42.8,55.72,66.15,74.7,76.55,136.01,131.07,141.38,156.3,295.75,316.19,328.55,210,204,192.95,])
array_1_name = "Popularity of the 'press f to pay respects' meme"
array_2_name = "Boeing's stock price (BA)"
# 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. 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
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 Popularity of the 'press f to pay respects' meme
- Line chart for only Boeing's stock price (BA)
- AI-generated correlation image
- The spurious research paper: From lol to low: The Popularity of the 'press f to pay respects' meme and its Impact on Boeing's Stock Price
Thanks for being the explorer we needed!
Correlation ID: 4957 · Black Variable ID: 25118 · Red Variable ID: 1613