Spurious correlation #5,457 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Popularity of the 'doge' meme and the second variable is Warner Bros. Discovery's stock price (WBD). The chart goes from 2006 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 Popularity of the 'doge' meme and the second variable is Warner Bros. Discovery's stock price (WBD). The chart goes from 2006 to 2023, and the two variables track closely in value over that time.

Download png, svg

AI explanation

Investors couldn't resist the wow factor of the meme, leading to a pawsitively bullish market for WBD. As the doge meme continued to bring in much profit, it created a tail-wagging effect on the stock price. It seems like in the world of finance, the doge meme truly had the 'bark' of approval!

^{Show image generation prompt} Create a meme inspired by the doge meme that in some way references Warner Bros. Discovery's stock price (WBD). Try to emulate the style of the meme - don’t violate the copyright, just make it look and feel like the original meme.
^{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 increases in Popularity of the 'doge' meme positively influenced Warner Bros. Discovery's stock price (WBD). Include one good pun.

AI academic paper

(Because p < 0.01)

The Doge Delight: Discovering the Dynamism between Doge Memes and Warner Bros. Discovery's Stock Price

The Journal of Internet Memetics and Finance

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 Popularity of the 'doge' meme and Warner Bros. Discovery's stock price (WBD). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then devolve ever further, and mention something completely ridiculous, like you conducted literature review by reading the backs of shampoo bottles.

Here is the title and abstract of the paper:
[[TITLE]]
The Doge Delight: Discovering the Dynamism between Doge Memes and Warner Bros. Discovery's Stock Price

[[ABSTRACT]]
This paper investigates the intriguing relationship between the popularity of the 'doge' meme and the stock price of Warner Bros. Discovery (WBD) from 2006 to 2023. Leveraging data from Google Trends and LSEG Analytics (Refinitiv), our research team delved into this unorthodox but engrossing association. We calculated a remarkable correlation coefficient of 0.8496978 and p < 0.01, indicating a strong and statistically significant connection.

It's not all bark and no byte -- our findings reveal a compelling link between the proliferation of 'doge' memes and the fluctuations in WBD stock prices. In light of these results, one might say that the impact of the 'doge' meme on financial markets is nothing to *woof* at.

Stay tuned (or should we say, *tuned in*) for the detailed analysis and financial implications of this unexpected intersection of internet culture and stock performance.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The enigmatic world of finance is often characterized by complex algorithms, sophisticated trading mechanisms, and a multitude of factors influencing stock prices. However, amidst the sea of traditional market indicators, the emergence of internet memes as a potential influencer of stock performance has sparked both intrigue and skepticism. One might even say it's a "ruff" issue to tackle.
In recent years, the 'doge' meme, featuring the iconic Shiba Inu accompanied by phrases in Comic Sans font, has permeated popular culture and internet forums with remarkable agility. Its endearing and comic portrayal of the canine has garnered significant attention, leading to widespread dissemination across social media platforms and digital communities. In the financial realm, the prowess of the 'doge' meme in influencing stock prices, particularly with regard to Warner Bros. Discovery (WBD), has raised eyebrows and piqued curiosity – leaving many to wonder if there's a "paw-sible" connection between memes and market performance.
As we embark on this journey to uncover the nexus between the 'doge' meme and WBD stock prices, it becomes evident that exploring this link is not just a matter of monetary gain, but a pursuit of understanding the unexpected web that connects cultural phenomena and financial markets. It’s a tail as old as time – the interplay between internet virality and stock market dynamics, but with a "doge-licious" twist.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

Previous studies have investigated the potential impact of internet culture and social media phenomena on financial markets, prompting inquiries into the connection between meme proliferation and stock price fluctuations. Smith et al. (2018) found a positive correlation between the frequency of viral memes and short-term stock price movements in their study on "Memes Gone Wild: Unconventional Drivers of Market Volatility." Similarly, Doe and Jones (2020) analyzed the influence of internet memes on investor sentiment and its subsequent effects on stock prices, revealing noteworthy associations in their article "Memeomics: Exploring the Role of Memes in Financial Markets."

In "The Wealth of Networks" by Yochai Benkler, the author discusses the intricate interplay between digital culture and economic activity, offering insights into the potential influence of internet phenomena on market dynamics. Additionally, "The Tipping Point: How Little Things Can Make a Big Difference" by Malcolm Gladwell provides a nuanced perspective on the propagation of trends and the mechanisms through which cultural phenomena can impact societal behaviors, which may extend to financial markets in unexpected ways.

On a more unconventional note, fictional works such as "The Wolf of Wall Street" by Jordan Belfort and "American Psycho" by Bret Easton Ellis offer fictionalized accounts of financial landscapes and the societal constructs within which they operate. While not directly related to meme culture or stock performance, these narratives provide a backdrop against which the intersection of internet memes and market dynamics can be contemplated.

In addition to scholarly and literary sources, further inquiry for this study involved innovative methods of data collection, including the thorough examination of internet forums, social media platforms, and even the backs of shampoo bottles for any relevant correlations. While the latter may seem humorous, the pursuit of knowledge often leads researchers to unexpected avenues of investigation.

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 Popularity of the 'doge' meme and Warner Bros. Discovery's stock price (WBD). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Your research team collected data from all across the internet, but mostly just used information from 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]]
The Doge Delight: Discovering the Dynamism between Doge Memes and Warner Bros. Discovery's Stock Price

[[ABSTRACT]]
This paper investigates the intriguing relationship between the popularity of the 'doge' meme and the stock price of Warner Bros. Discovery (WBD) from 2006 to 2023. Leveraging data from Google Trends and LSEG Analytics (Refinitiv), our research team delved into this unorthodox but engrossing association. We calculated a remarkable correlation coefficient of 0.8496978 and p < 0.01, indicating a strong and statistically significant connection.

It's not all bark and no byte -- our findings reveal a compelling link between the proliferation of 'doge' memes and the fluctuations in WBD stock prices. In light of these results, one might say that the impact of the 'doge' meme on financial markets is nothing to *woof* at.

Stay tuned (or should we say, *tuned in*) for the detailed analysis and financial implications of this unexpected intersection of internet culture and stock performance.

[[INTRODUCTION]]
The enigmatic world of finance is often characterized by complex algorithms, sophisticated trading mechanisms, and a multitude of factors influencing stock prices. However, amidst the sea of traditional market indicators, the emergence of internet memes as a potential influencer of stock performance has sparked both intrigue and skepticism. One might even say it's a "ruff" issue to tackle.
In recent years, the 'doge' meme, featuring the iconic Shiba Inu accompanied by phrases in Comic Sans font, has permeated popular culture and internet forums with remarkable agility. Its endearing and comic portrayal of the canine has garnered significant attention, leading to widespread dissemination across social media platforms and digital communities. In the financial realm, the prowess of the 'doge' meme in influencing stock prices, particularly with regard to Warner Bros. Discovery (WBD), has raised eyebrows and piqued curiosity – leaving many to wonder if there's a "paw-sible" connection between memes and market performance.
As we embark on this journey to uncover the nexus between the 'doge' meme and WBD stock prices, it becomes evident that exploring this link is not just a matter of monetary gain, but a pursuit of understanding the unexpected web that connects cultural phenomena and financial markets. It’s a tail as old as time – the interplay between internet virality and stock market dynamics, but with a "doge-licious" twist.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

To investigate the relationship between the popularity of the 'doge' meme and Warner Bros. Discovery's stock price (WBD), we employed a combination of unorthodox yet rigorous research methods. Our data collection encompassed the period from 2006 to 2023, utilizing data primarily sourced from Google Trends and LSEG Analytics (Refinitiv).

Before delving into the methodology, let's "unleash" a relevant dad joke to set the tone. Why don't dogs make good stockbrokers? They have a tendency to bury their assets!

We quantified the popularity of the 'doge' meme by analyzing keyword search volume and interest over time using Google Trends. Additionally, we calculated the frequency and reach of 'doge' meme-related discussions across various online forums, social media platforms, and digital communities. This approach allowed us to capture the ebbs and flows of 'doge' meme virality in the virtual sphere, shedding light on its potential influence on broader cultural trends.

As for the stock price component, we methodically tracked the fluctuations in WBD stock prices over the same period. Our analysis involved time series modeling, statistical inference, and regression techniques to discern any discernible patterns or correlations with the temporal dynamics of the 'doge' meme's prominence.

Turning to another dad joke, why did the 'doge' meme invest in stock? It heard the market was going *bark*ing mad!

To further refine our understanding, we conducted sentiment analysis of social media posts and online discussions related to the 'doge' meme and WBD. This allowed us to gauge the prevailing attitudes and emotional valence associated with the meme's circulation and its potential impact on investor sentiment, thereby enriching our assessment of the meme's influence on stock price movements.

An additional element of our methodology involved leveraging advanced natural language processing algorithms to identify and categorize 'doge' meme variations, trends, and their virality levels. This comprehensive approach enabled us to capture the nuanced evolution of the 'doge' meme phenomenon and its potential resonance with market dynamics over time.

In the spirit of this unexpected intersection between internet culture and stock performance, perhaps we should refer to our methodology as "pawsitively complex"!

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 Popularity of the 'doge' meme and Warner Bros. Discovery's stock price (WBD). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Limit your response to 500 tokens.

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

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

[[TITLE]]
The Doge Delight: Discovering the Dynamism between Doge Memes and Warner Bros. Discovery's Stock Price

[[ABSTRACT]]
This paper investigates the intriguing relationship between the popularity of the 'doge' meme and the stock price of Warner Bros. Discovery (WBD) from 2006 to 2023. Leveraging data from Google Trends and LSEG Analytics (Refinitiv), our research team delved into this unorthodox but engrossing association. We calculated a remarkable correlation coefficient of 0.8496978 and p < 0.01, indicating a strong and statistically significant connection.

It's not all bark and no byte -- our findings reveal a compelling link between the proliferation of 'doge' memes and the fluctuations in WBD stock prices. In light of these results, one might say that the impact of the 'doge' meme on financial markets is nothing to *woof* at.

Stay tuned (or should we say, *tuned in*) for the detailed analysis and financial implications of this unexpected intersection of internet culture and stock performance.

[[LITERATURE REVIEW]]
Previous studies have investigated the potential impact of internet culture and social media phenomena on financial markets, prompting inquiries into the connection between meme proliferation and stock price fluctuations. Smith et al. (2018) found a positive correlation between the frequency of viral memes and short-term stock price movements in their study on "Memes Gone Wild: Unconventional Drivers of Market Volatility." Similarly, Doe and Jones (2020) analyzed the influence of internet memes on investor sentiment and its subsequent effects on stock prices, revealing noteworthy associations in their article "Memeomics: Exploring the Role of Memes in Financial Markets."
In "The Wealth of Networks" by Yochai Benkler, the author discusses the intricate interplay between digital culture and economic activity, offering insights into the potential influence of internet phenomena on market dynamics. Additionally, "The Tipping Point: How Little Things Can Make a Big Difference" by Malcolm Gladwell provides a nuanced perspective on the propagation of trends and the mechanisms through which cultural phenomena can impact societal behaviors, which may extend to financial markets in unexpected ways.
On a more unconventional note, fictional works such as "The Wolf of Wall Street" by Jordan Belfort and "American Psycho" by Bret Easton Ellis offer fictionalized accounts of financial landscapes and the societal constructs within which they operate. While not directly related to meme culture or stock performance, these narratives provide a backdrop against which the intersection of internet memes and market dynamics can be contemplated.
In addition to scholarly and literary sources, further inquiry for this study involved innovative methods of data collection, including the thorough examination of internet forums, social media platforms, and even the backs of shampoo bottles for any relevant correlations. While the latter may seem humorous, the pursuit of knowledge often leads researchers to unexpected avenues of investigation.

[[RESULTS]]
The examination of the relationship between the popularity of the 'doge' meme and Warner Bros. Discovery's stock price (WBD) unveiled a striking correlation coefficient of 0.8496978, indicating a robust positive association. This correlation suggests that as the 'doge' meme gained popularity, WBD stock prices tended to exhibit upward movements, akin to the energetic bounce of a playful Shiba Inu.
The r-squared value of 0.7219864 indicates that approximately 72.20% of the variability in WBD stock prices can be explained by the fluctuations in the popularity of the 'doge' meme. Indeed, one might say that the 'doge' meme holds significant explanatory power when it comes to understanding the dynamics of WBD stock prices, almost like a reliable hound leading the way.
The p-value of less than 0.01 further bolsters the findings, signifying a high level of statistical significance. This indicates that the observed relationship between the 'doge' meme's popularity and WBD stock prices is not merely a result of random chance, but rather a meaningful connection that warrants attention. It's as if the 'doge' meme has truly sunk its teeth into the stock market dynamics.
The figure (Fig. 1) depicted a clear and compelling scatterplot illustrating the pronounced correlation between the 'doge' meme's popularity and WBD stock prices. The strong positive trend line in the plot emphasizes the consistency of the association over the years, which is quite "fetching" in the realm of financial data analysis.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The findings of this study resonate with prior research on the influence of internet phenomena on stock price movements. Smith et al. (2018) and Doe and Jones (2020) set the stage for our investigation by illuminating the potential impact of viral memes on financial markets, and our results provide robust support for their discoveries. One could say that the 'doge' meme has proven to be not just a popular internet sensation, but also an influential player in the stock market arena.

Our findings also align with the theoretical underpinnings offered by Benkler and Gladwell, who underscored the intricate interplay between digital culture and market dynamics. While our inquiry may have seemed light-hearted with references to shampoo bottles, the unforeseen revelation of a strong correlation between the 'doge' meme's popularity and WBD stock prices underscores the breadth of potential influences that can permeate financial markets.

By demonstrating a correlation coefficient of 0.8496978, our study sheds light on the impactful role of an internet meme in driving fluctuations in stock prices. This correlation, akin to a loyal canine companion, illustrates the notable connection between the 'doge' meme's popularity and WBD stock price movements. It seems that this meme's impact on financial markets is indeed something to bark about!

The substantial explanatory power of the 'doge' meme in relation to WBD stock prices, as indicated by the r-squared value of 0.7219864, signifies that over 70% of the variability in stock prices can be attributed to the ebb and flow of 'doge' meme popularity. It's almost as if this meme holds the leash to a significant portion of WBD's stock price movements, guiding them with undeniable influence.

The statistical significance of the relationship, underscored by a p-value of less than 0.01, further solidifies the noteworthy association between the 'doge' meme and WBD stock prices. It's as though the 'doge' meme has become a faithful companion to stock market observers, making its presence known and demanding attention with its unmistakable impact.

In conclusion, our study provides empirical evidence of the substantial influence exerted by the 'doge' meme on Warner Bros. Discovery's stock prices. As we continue to uncover the myriad influences shaping financial markets, it is essential to recognize and analyze the unexpected effects of internet culture on stock price dynamics. After all, one can't resist the allure of 'doge' memes in the maze of financial data analysis.

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 Popularity of the 'doge' meme and Warner Bros. Discovery's stock price (WBD). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
The Doge Delight: Discovering the Dynamism between Doge Memes and Warner Bros. Discovery's Stock Price

[[ABSTRACT]]
This paper investigates the intriguing relationship between the popularity of the 'doge' meme and the stock price of Warner Bros. Discovery (WBD) from 2006 to 2023. Leveraging data from Google Trends and LSEG Analytics (Refinitiv), our research team delved into this unorthodox but engrossing association. We calculated a remarkable correlation coefficient of 0.8496978 and p < 0.01, indicating a strong and statistically significant connection.

It's not all bark and no byte -- our findings reveal a compelling link between the proliferation of 'doge' memes and the fluctuations in WBD stock prices. In light of these results, one might say that the impact of the 'doge' meme on financial markets is nothing to *woof* at.

Stay tuned (or should we say, *tuned in*) for the detailed analysis and financial implications of this unexpected intersection of internet culture and stock performance.

[[INTRDUCTION]]
The enigmatic world of finance is often characterized by complex algorithms, sophisticated trading mechanisms, and a multitude of factors influencing stock prices. However, amidst the sea of traditional market indicators, the emergence of internet memes as a potential influencer of stock performance has sparked both intrigue and skepticism. One might even say it's a "ruff" issue to tackle.
In recent years, the 'doge' meme, featuring the iconic Shiba Inu accompanied by phrases in Comic Sans font, has permeated popular culture and internet forums with remarkable agility. Its endearing and comic portrayal of the canine has garnered significant attention, leading to widespread dissemination across social media platforms and digital communities. In the financial realm, the prowess of the 'doge' meme in influencing stock prices, particularly with regard to Warner Bros. Discovery (WBD), has raised eyebrows and piqued curiosity – leaving many to wonder if there's a "paw-sible" connection between memes and market performance.
As we embark on this journey to uncover the nexus between the 'doge' meme and WBD stock prices, it becomes evident that exploring this link is not just a matter of monetary gain, but a pursuit of understanding the unexpected web that connects cultural phenomena and financial markets. It’s a tail as old as time – the interplay between internet virality and stock market dynamics, but with a "doge-licious" twist.

[[RESULTS]]
The examination of the relationship between the popularity of the 'doge' meme and Warner Bros. Discovery's stock price (WBD) unveiled a striking correlation coefficient of 0.8496978, indicating a robust positive association. This correlation suggests that as the 'doge' meme gained popularity, WBD stock prices tended to exhibit upward movements, akin to the energetic bounce of a playful Shiba Inu.
The r-squared value of 0.7219864 indicates that approximately 72.20% of the variability in WBD stock prices can be explained by the fluctuations in the popularity of the 'doge' meme. Indeed, one might say that the 'doge' meme holds significant explanatory power when it comes to understanding the dynamics of WBD stock prices, almost like a reliable hound leading the way.
The p-value of less than 0.01 further bolsters the findings, signifying a high level of statistical significance. This indicates that the observed relationship between the 'doge' meme's popularity and WBD stock prices is not merely a result of random chance, but rather a meaningful connection that warrants attention. It's as if the 'doge' meme has truly sunk its teeth into the stock market dynamics.
The figure (Fig. 1) depicted a clear and compelling scatterplot illustrating the pronounced correlation between the 'doge' meme's popularity and WBD stock prices. The strong positive trend line in the plot emphasizes the consistency of the association over the years, which is quite "fetching" in the realm of financial data analysis.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our research has revealed a strong and statistically significant correlation between the popularity of the 'doge' meme and the stock price of Warner Bros. Discovery (WBD). It seems that the 'doge' meme is not just a shaggy internet fad, but a potential influencer of financial markets. It's like the meme has really taken a bite out of WBD's stock performance!

As we consider the implications of our findings, one might quip that the 'doge' meme is not just a man’s best friend, but perhaps a stock trader’s as well. After all, it appears to be barking up the right tree when it comes to predicting WBD stock price movements.

The robust r-squared value of 0.7219864 indicates that the 'doge' meme accounts for approximately 72.20% of the variability in WBD stock prices. That's quite a dominant paw print in the financial landscape!

Our results, coupled with the compelling scatterplot, suggest that the 'doge' meme's influence on WBD stock prices has been consistent over the years. Like a loyal companion, it seems to have stuck by WBD's side through market ups and downs.

As we reflect on these unexpected findings, it becomes clear that the 'doge' meme has, in its own peculiar way, become intertwined with the intricate dance of financial markets. It's almost as if the meme has become a *paw-sitively* reliable financial indicator!

Based on the robustness of our findings, one might say that further research in this area is not needed. It seems we've truly uncovered the *paw*-some connection between the 'doge' meme and WBD stock prices. Time to close the *paw*-folio on this one!

Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of academic journals. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding research, scientific, or academic journal that would publish a paper entited The Doge Delight: Discovering the Dynamism between Doge Memes and Warner Bros. Discovery's Stock Price. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Internet Memetics and Finance

Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of nonprofit research organizations and associations. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding nonprofit, academic, or scientific association or organization that would sponsor research that resulted in a paper entited The Doge Delight: Discovering the Dynamism between Doge Memes and Warner Bros. Discovery's Stock Price. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Internet Culture and Market Research

Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled The Doge Delight: Discovering the Dynamism between Doge Memes and Warner Bros. Discovery's Stock Price with an abstract of This paper investigates the intriguing relationship between the popularity of the 'doge' meme and the stock price of Warner Bros. Discovery (WBD) from 2006 to 2023. Leveraging data from Google Trends and LSEG Analytics (Refinitiv), our research team delved into this unorthodox but engrossing association. We calculated a remarkable correlation coefficient of 0.8496978 and p < 0.01, indicating a strong and statistically significant connection.
It's not all bark and no byte -- our findings reveal a compelling link between the proliferation of 'doge' memes and the fluctuations in WBD stock prices. In light of these results, one might say that the impact of the 'doge' meme on financial markets is nothing to *woof* at.
Stay tuned (or should we say, *tuned in*) for the detailed analysis and financial implications of this unexpected intersection of internet culture and stock performance.

ChatGPT:

doge meme, Warner Bros. Discovery stock price, correlation, Google Trends data, stock market impact, internet culture, financial implications, meme popularity, LSEG Analytics, Refinitiv, stock price fluctuations, stock market correlation

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

Random correlation

Discover a new correlation

View all correlations

View all research papers

Report an error

Data details

Popularity of the 'doge' meme
Detailed data title: Relative volume of Google searches for 'doge meme' (without quotes, in the United States)
Source: Google Trends
Additional Info: ^{See full details} 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 'doge' meme

Warner Bros. Discovery's stock price (WBD)
Detailed data title: Opening price of Warner Bros. Discovery (WBD) 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 Warner Bros. Discovery's stock price (WBD)

Correlation r = 0.8496978 (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 = 0.7219864 (Coefficient of determination)
This means 72.2% of the change in the one variable (i.e., Warner Bros. Discovery's stock price (WBD)) is predictable based on the change in the other (i.e., Popularity of the 'doge' meme) over the 18 years from 2006 through 2023.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 8.08E-6.^Show 0.0000080812044446914000000000
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 0.85 in 0.000808% of random cases. Said differently, if you correlated 123,744 random variables^Note You don't actually need 123 thousand variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.

p-value calculations are useful for understanding the probability of a result happening by chance. They are most useful when used to highlight the risk of a fluke outcome. For example, if you calculate a p-value of 0.30, the risk that the result is a fluke is high. It is good to know that! But there are lots of ways to get a p-value of less than 0.01, as evidenced by this project.

In this particular case, the values are so extreme as to be meaningless. That's why no one reports p-values with specificity after they drop below 0.01.

Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 17 degrees of freedom, ^Note 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.

[ 0.63, 0.94 ] 95% correlation confidence interval (using the Fisher z-transformation)
^{Read more about the confidence interval} The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

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

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

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

	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021	2022	2023
Popularity of the 'doge' meme (Relative popularity)	1	0.285714	0.166667	0.444444	0	0	0	26.7778	30.4167	16.9167	17	13.5833	9.41667	9	10.5833	14.0833	7.5	6.58333
Warner Bros. Discovery's stock price (WBD) (Stock price)	7.01	7.49	11.58	7.22	15.69	21.46	21.44	33.23	46.08	34.63	26.13	27.66	22.96	24.37	32.82	31.07	23.9	9.65

Why this works

Data dredging: I have 25,237 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 636,906,169 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([1,0.285714,0.166667,0.444444,0,0,0,26.7778,30.4167,16.9167,17,13.5833,9.41667,9,10.5833,14.0833,7.5,6.58333,])
array_2 = np.array([7.01,7.49,11.58,7.22,15.69,21.46,21.44,33.23,46.08,34.63,26.13,27.66,22.96,24.37,32.82,31.07,23.9,9.65,])
array_1_name = "Popularity of the 'doge' meme"
array_2_name = "Warner Bros. Discovery's stock price (WBD)"

# 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 Popularity of the 'doge' meme
Line chart for only Warner Bros. Discovery's stock price (WBD)
AI-generated correlation image
The spurious research paper: The Doge Delight: Discovering the Dynamism between Doge Memes and Warner Bros. Discovery's Stock Price

View another random correlation

How fun was this correlation?

Big thanks for reviewing!

Correlation ID: 5457 · Black Variable ID: 25113 · Red Variable ID: 1845


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