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Spurious correlation #4,162 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Google searches for 'who is elon musk' and the second variable is Advanced Micro Devices' stock price (AMD).  The chart goes from 2005 to 2023, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

As more people became aware of Elon Musk, the demand for innovative and futuristic technology concepts skyrocketed. This increased interest created a ripple effect in the tech industry, leading to a surge in confidence and enthusiasm for companies like AMD that are at the forefront of creating the building blocks for the future. In essence, Elon Musk's expanding spotlight shone a positive light on the entire tech sector, including AMD, as investors and consumers alike clamored for the next big thing in technological advancement.

Model: dalle-3
Prompt: Prompt: Generate an image of a vibrant cyber folk scene in a bustling city center, where a group of people gathers around a large electronic billboard. On the left side of the billboard, visualize multiple Google searches for "who is Elon Musk" being displayed as curious onlookers try to learn more about the tech visionary. On the right side, depict the stock price for Advanced Micro Devices (AMD) rapidly climbing and surrounded by positive news headlines about the growing demand for cutting-edge technology. Capture the excitement and buzz as the public's interest in Musk's futuristic concepts fuels a surge of enthusiasm for companies like AMD that are driving innovation in the tech industry. The scene should reflect the fusion of technology, curiosity, and urban energy in a cyber folk aesthetic. The depiction should include only scenes, people, and objects, it should not include text or speech bubbles.
This image generation prompt was also generated by AI, using the following sequence:

Model: gpt-3.5-turbo-1106
System prompt: You select one of a few potential scene descriptors that seems to go along with the variables described. You respond only with the scene descriptions provided and say nothing else.
User prompt: Here are two variables: Google searches for 'who is elon musk' and Advanced Micro Devices' stock price (AMD). Given these, which of the following image style descriptions seems most appropriate? Pick the one that seems to be related to one of the variables at hand. Please respond with only one of the following potential descriptions: a funny image you would see on reddit Surrealism Whimsical illustration Cyber folk inspired by bauhaus
ChatGPT: Cyber folk

Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both Google searches for 'who is elon musk' and Advanced Micro Devices' stock price (AMD), in the following situation: As more people became aware of Elon Musk, the demand for innovative and futuristic technology concepts skyrocketed. This increased interest created a ripple effect in the tech industry, leading to a surge in confidence and enthusiasm for companies like AMD that are at the forefront of creating the building blocks for the future. In essence, Elon Musk's expanding spotlight shone a positive light on the entire tech sector, including AMD, as investors and consumers alike clamored for the next big thing in technological advancement.. Keep the description simple.
ChatGPT: A group of people huddles around a large electronic billboard in a bustling city center. On the left side of the billboard, the screen shows multiple Google searches for "who is Elon Musk" as curious onlookers try to learn more about the tech visionary. On the right side, the stock price for Advanced Micro Devices (AMD) is displayed, rapidly climbing and surrounded by positive news headlines about the growing demand for cutting-edge technology. The scene captures the excitement and buzz as the public's interest in Musk's futuristic concepts fuels a surge of enthusiasm for companies like AMD that are driving innovation in the tech industry.

Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ Cyber folk ] and depicting this scene: A group of people huddles around a large electronic billboard in a bustling city center. On the left side of the billboard, the screen shows multiple Google searches for "who is Elon Musk" as curious onlookers try to learn more about the tech visionary. On the right side, the stock price for Advanced Micro Devices (AMD) is displayed, rapidly climbing and surrounded by positive news headlines about the growing demand for cutting-edge technology. The scene captures the excitement and buzz as the public's interest in Musk's futuristic concepts fuels a surge of enthusiasm for companies like AMD that are driving innovation in the tech industry. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Prompt: Generate an image of a vibrant cyber folk scene in a bustling city center, where a group of people gathers around a large electronic billboard. On the left side of the billboard, visualize multiple Google searches for "who is Elon Musk" being displayed as curious onlookers try to learn more about the tech visionary. On the right side, depict the stock price for Advanced Micro Devices (AMD) rapidly climbing and surrounded by positive news headlines about the growing demand for cutting-edge technology. Capture the excitement and buzz as the public's interest in Musk's futuristic concepts fuels a surge of enthusiasm for companies like AMD that are driving innovation in the tech industry. The scene should reflect the fusion of technology, curiosity, and urban energy in a cyber folk aesthetic.

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

I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.

Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in who is elon musk (Google searches for 'who is elon musk') caused Advanced Micro Devices' stock price (AMD) to increase. Make it feel plausible.

AI academic paper

(Because p < 0.01)
Googling Elon Musk and Stock Hustle: A Quantitative Analysis of AMD's Market Moves

The Journal of Digital Economy and Financial Analysis

Jan 2024

Reminder: This paper is AI-generated. Not real!
Quick note: This sequence is long and repetitive. That's how the prompt engineering works for this one. I manage the output in Python to format it into this PDF.




Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.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 Google searches for 'who is elon musk' and Advanced Micro Devices' stock price (AMD). Make lots of jokes, goofy observations, and puns.

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

Your research team used data from Google Trends and LSEG Analytics (Refinitiv) to assess this nagging question. You found a correlation coefficient of 0.9528787 and p < 0.01 for 2005 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]]
"Googling Elon Musk and Stock Hustle: A Quantitative Analysis of AMD's Market Moves"

[[ABSTRACT]]
Our study delves into the whimsical world of internet search trends and stock market volatility, seeking to answer the quintessential inquiry: does the virtual quest for knowledge about Elon Musk influence the realm of financial trading, specifically in the context of Advanced Micro Devices (AMD)? Leveraging data from Google Trends and LSEG Analytics (Refinitiv), we unveil a striking correlation between the frequency of searches for 'who is Elon Musk' and the erratic dance of AMD's stock price. With a jaw-dropping correlation coefficient of 0.9528787 and statistical significance at p < 0.01 over the period from 2005 to 2023, our findings not only tickle the intellect but also propel us to ponder the mysterious interplay between internet musings and market dynamics. Our results provoke both laughter and contemplation, all while shedding light on the curious confluence of cyberspace curiosities and financial flurries.


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.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 Google searches for 'who is elon musk' and Advanced Micro Devices' stock price (AMD). Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Here is the title and abstract of the paper:
[[TITLE]]
"Googling Elon Musk and Stock Hustle: A Quantitative Analysis of AMD's Market Moves"

[[ABSTRACT]]
Our study delves into the whimsical world of internet search trends and stock market volatility, seeking to answer the quintessential inquiry: does the virtual quest for knowledge about Elon Musk influence the realm of financial trading, specifically in the context of Advanced Micro Devices (AMD)? Leveraging data from Google Trends and LSEG Analytics (Refinitiv), we unveil a striking correlation between the frequency of searches for 'who is Elon Musk' and the erratic dance of AMD's stock price. With a jaw-dropping correlation coefficient of 0.9528787 and statistical significance at p < 0.01 over the period from 2005 to 2023, our findings not only tickle the intellect but also propel us to ponder the mysterious interplay between internet musings and market dynamics. Our results provoke both laughter and contemplation, all while shedding light on the curious confluence of cyberspace curiosities and financial flurries.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

The intersection of internet search behavior and stock market volatility has become an increasingly intriguing area of study in the fields of both finance and information technology. As the virtual landscape continues to shape our daily lives, the influence of online curiosities on real-world economic activities has not only piqued the interest of researchers but also captured the imagination of the general public. In this study, we embark on a riveting journey to uncover the potential relationship between Google searches for 'who is Elon Musk' and the tumultuous tango of Advanced Micro Devices' (AMD) stock price. As we delve into this peculiar fusion of digital inquisitiveness and financial fervor, we aim to provide empirical evidence and statistical insights that will not only tickle the fancy of the academically inclined but also offer a moment of whimsy in the query-riddled world of empirical research.

The quirks and quips of the internet age have unmistakably infused the tapestry of modern financial markets. While traditional economic theories and market analyses have long relied on tangible factors such as earnings reports, macroeconomic indicators, and geopolitical events to explain market movements, the rise of the digital era has introduced an enthralling array of non-traditional variables that seemingly possess some degree of influence over market behavior. With memes, social media trends, and viral internet phenomena mingling amidst the charts and graphs of financial data, the once-clear boundary between virtual space and financial reality has become delightfully blurry. Indeed, as we navigate the tempestuous seas of market dynamics, it appears that the digital musings of the online populace may hold unforeseen sway over the ebb and flow of stock prices.

In this light, the bewitching charisma of Elon Musk, the enigmatic entrepreneur and tech titan, serves as a captivating figure for our investigation. As the founder of Tesla and SpaceX, Musk's enigmatic aura and penchant for earth-shattering innovations have rendered him a perennial subject of digital discourse. However, it is not merely the extraordinary exploits of Musk that captivate the collective imagination, but also the more fundamental question that many internet denizens seek to answer: "who is Elon Musk?" As we embark on our quest to unravel the link between such queries and AMD's stock price, we will encounter a medley of statistical analyses, correlation coefficients, and empirical models - where the seemingly mundane meets the wonder of the web.

Amidst the sobering backdrop of financial markets and statistical examinations, it is our hope that this study will offer both a dash of levity and a spark of curiosity, inviting scholars and market aficionados alike to ponder the delightful dance between internet whimsy and stock market hustle. As we set forth on this whimsical yet weighty endeavor, we invite our readers to don their analytical spectacles, fasten their seatbelts, and prepare for a scholarly journey that promises to entertain, enlighten, and perhaps even elicit a wry smile or two along the way.


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics 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 Google searches for 'who is elon musk' and Advanced Micro Devices' stock price (AMD). Make lots of 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 cite some social media posts you read that seem to be related.

Here is the title and abstract of the paper:
[[TITLE]]
"Googling Elon Musk and Stock Hustle: A Quantitative Analysis of AMD's Market Moves"

[[ABSTRACT]]
Our study delves into the whimsical world of internet search trends and stock market volatility, seeking to answer the quintessential inquiry: does the virtual quest for knowledge about Elon Musk influence the realm of financial trading, specifically in the context of Advanced Micro Devices (AMD)? Leveraging data from Google Trends and LSEG Analytics (Refinitiv), we unveil a striking correlation between the frequency of searches for 'who is Elon Musk' and the erratic dance of AMD's stock price. With a jaw-dropping correlation coefficient of 0.9528787 and statistical significance at p < 0.01 over the period from 2005 to 2023, our findings not only tickle the intellect but also propel us to ponder the mysterious interplay between internet musings and market dynamics. Our results provoke both laughter and contemplation, all while shedding light on the curious confluence of cyberspace curiosities and financial flurries.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The intersection of internet search behavior and stock market volatility has become an increasingly intriguing area of study in the fields of both finance and information technology. As the virtual landscape continues to shape our daily lives, the influence of online curiosities on real-world economic activities has not only piqued the interest of researchers but also captured the imagination of the general public. In this study, we embark on a riveting journey to uncover the potential relationship between Google searches for 'who is Elon Musk' and the tumultuous tango of Advanced Micro Devices' (AMD) stock price. As we delve into this peculiar fusion of digital inquisitiveness and financial fervor, we aim to provide empirical evidence and statistical insights that will not only tickle the fancy of the academically inclined but also offer a moment of whimsy in the query-riddled world of empirical research.
The quirks and quips of the internet age have unmistakably infused the tapestry of modern financial markets. While traditional economic theories and market analyses have long relied on tangible factors such as earnings reports, macroeconomic indicators, and geopolitical events to explain market movements, the rise of the digital era has introduced an enthralling array of non-traditional variables that seemingly possess some degree of influence over market behavior. With memes, social media trends, and viral internet phenomena mingling amidst the charts and graphs of financial data, the once-clear boundary between virtual space and financial reality has become delightfully blurry. Indeed, as we navigate the tempestuous seas of market dynamics, it appears that the digital musings of the online populace may hold unforeseen sway over the ebb and flow of stock prices.
In this light, the bewitching charisma of Elon Musk, the enigmatic entrepreneur and tech titan, serves as a captivating figure for our investigation. As the founder of Tesla and SpaceX, Musk's enigmatic aura and penchant for earth-shattering innovations have rendered him a perennial subject of digital discourse. However, it is not merely the extraordinary exploits of Musk that captivate the collective imagination, but also the more fundamental question that many internet denizens seek to answer: "who is Elon Musk?" As we embark on our quest to unravel the link between such queries and AMD's stock price, we will encounter a medley of statistical analyses, correlation coefficients, and empirical models - where the seemingly mundane meets the wonder of the web.
Amidst the sobering backdrop of financial markets and statistical examinations, it is our hope that this study will offer both a dash of levity and a spark of curiosity, inviting scholars and market aficionados alike to ponder the delightful dance between internet whimsy and stock market hustle. As we set forth on this whimsical yet weighty endeavor, we invite our readers to don their analytical spectacles, fasten their seatbelts, and prepare for a scholarly journey that promises to entertain, enlighten, and perhaps even elicit a wry smile or two along the way.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

Several serious studies have delved into the intriguing realm of internet search behavior and its potential impact on financial markets. In "Smith et al." (2020), the authors uncover a nexus between online search patterns and stock price movements, shedding light on the far-reaching implications of digital curiosity. Similarly, Doe and colleagues (2018) provide empirical evidence of the influence of virtual inquiries on market dynamics, offering a tantalizing glimpse into the curious interplay of cyber musings and economic fervor. Furthermore, Jones (2016) presents a comprehensive analysis of internet search trends and their correlation with stock market volatility, laying the groundwork for the exploration of seemingly whimsical variables in the realm of finance.

Turning to the realm of non-fiction literature, books such as "Freakonomics" by Steven D. Levitt and Stephen J. Dubner and "The Signal and the Noise" by Nate Silver provide thought-provoking insights into the unorthodox factors that may influence economic phenomena, challenging traditional perspectives with a dash of wit and wisdom. On the fictional front, works like "The Hitchhiker's Guide to the Galaxy" by Douglas Adams and "Ready Player One" by Ernest Cline captivate readers with their imaginative take on the fusion of technology and human curiosity, evoking a sense of wonder and amusement in the exploration of virtual realms.

Amidst this scholarly milieu, social media posts play an unexpected yet significant role in shaping the discourse around internet inquiries and their potential impact on financial markets. A tweet by @FinanceEnthusiast hypothesizing about the correlation between Google searches for 'who is Elon Musk' and Advanced Micro Devices' stock price garnered attention, fueling conversations about the whimsical yet thought-provoking connections that may exist in the digital age.

As we venture into the enchanting confluence of internet quests and market machinations, it becomes apparent that the intersection of cyberspace curiosities and financial flurries offers a riveting fusion of empirical inquiry and lighthearted exploration. The literature surrounding our investigation not only provides a solid foundation for our study but also injects a delightful dose of levity into the otherwise solemn world of academic research.


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics 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 Google searches for 'who is elon musk' and Advanced Micro Devices' stock price (AMD). Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from Google Trends and LSEG Analytics (Refinitiv) . You used data from 2005 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]]
"Googling Elon Musk and Stock Hustle: A Quantitative Analysis of AMD's Market Moves"

[[ABSTRACT]]
Our study delves into the whimsical world of internet search trends and stock market volatility, seeking to answer the quintessential inquiry: does the virtual quest for knowledge about Elon Musk influence the realm of financial trading, specifically in the context of Advanced Micro Devices (AMD)? Leveraging data from Google Trends and LSEG Analytics (Refinitiv), we unveil a striking correlation between the frequency of searches for 'who is Elon Musk' and the erratic dance of AMD's stock price. With a jaw-dropping correlation coefficient of 0.9528787 and statistical significance at p < 0.01 over the period from 2005 to 2023, our findings not only tickle the intellect but also propel us to ponder the mysterious interplay between internet musings and market dynamics. Our results provoke both laughter and contemplation, all while shedding light on the curious confluence of cyberspace curiosities and financial flurries.

[[INTRODUCTION]]
The intersection of internet search behavior and stock market volatility has become an increasingly intriguing area of study in the fields of both finance and information technology. As the virtual landscape continues to shape our daily lives, the influence of online curiosities on real-world economic activities has not only piqued the interest of researchers but also captured the imagination of the general public. In this study, we embark on a riveting journey to uncover the potential relationship between Google searches for 'who is Elon Musk' and the tumultuous tango of Advanced Micro Devices' (AMD) stock price. As we delve into this peculiar fusion of digital inquisitiveness and financial fervor, we aim to provide empirical evidence and statistical insights that will not only tickle the fancy of the academically inclined but also offer a moment of whimsy in the query-riddled world of empirical research.
The quirks and quips of the internet age have unmistakably infused the tapestry of modern financial markets. While traditional economic theories and market analyses have long relied on tangible factors such as earnings reports, macroeconomic indicators, and geopolitical events to explain market movements, the rise of the digital era has introduced an enthralling array of non-traditional variables that seemingly possess some degree of influence over market behavior. With memes, social media trends, and viral internet phenomena mingling amidst the charts and graphs of financial data, the once-clear boundary between virtual space and financial reality has become delightfully blurry. Indeed, as we navigate the tempestuous seas of market dynamics, it appears that the digital musings of the online populace may hold unforeseen sway over the ebb and flow of stock prices.
In this light, the bewitching charisma of Elon Musk, the enigmatic entrepreneur and tech titan, serves as a captivating figure for our investigation. As the founder of Tesla and SpaceX, Musk's enigmatic aura and penchant for earth-shattering innovations have rendered him a perennial subject of digital discourse. However, it is not merely the extraordinary exploits of Musk that captivate the collective imagination, but also the more fundamental question that many internet denizens seek to answer: "who is Elon Musk?" As we embark on our quest to unravel the link between such queries and AMD's stock price, we will encounter a medley of statistical analyses, correlation coefficients, and empirical models - where the seemingly mundane meets the wonder of the web.
Amidst the sobering backdrop of financial markets and statistical examinations, it is our hope that this study will offer both a dash of levity and a spark of curiosity, inviting scholars and market aficionados alike to ponder the delightful dance between internet whimsy and stock market hustle. As we set forth on this whimsical yet weighty endeavor, we invite our readers to don their analytical spectacles, fasten their seatbelts, and prepare for a scholarly journey that promises to entertain, enlighten, and perhaps even elicit a wry smile or two along the way.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

Data Collection and Sources:

Our research team embarked on a whimsical quest across the digital domain, harnessing the bountiful troves of Google Trends and the astute insights of LSEG Analytics (Refinitiv) to procure the necessary data for our endeavor. The primary source of our quest lay in the Google search trends for the enigmatic figure of Elon Musk, encapsulated in the charming query, "who is Elon Musk." The tantalizing allure of this inquiry beckoned forth a treasure trove of data, offering a glimpse into the ebb and flow of public interest in the renowned entrepreneur over the years.

We then deftly navigated our way through the labyrinthine corridors of LSEG Analytics (Refinitiv), seeking to unearth the convoluted pathways of Advanced Micro Devices' (AMD) stock price movements. With our metaphorical pickaxes in hand, we delved deep into the archives of market data, quelling the tempestuous tides of financial flurries to extract the nuggets of insight that would illuminate our investigation.

Study Period:

Our journey through the digital annals stretched from the year 2005 to 2023, capturing a substantial swath of time that encapsulates the transformation of both virtual queries and market dynamics over nearly two decades. This expansive temporal canvas allowed us to observe the evolution of internet curiosities and financial fervors, painting a comprehensive picture of the interplay between cyberspace musings and stock market shuffles.

Data Analysis and Statistical Methods:

With our quiver filled with data, we unfurled the banner of statistical analysis, employing an arsenal of quantitative methodologies to distill the essence of our findings. Firstly, we conducted a riveting correlation analysis to unveil the intricate dance between Google searches for 'who is Elon Musk' and AMD's stock price movements. As we unearthed the mystical coefficient of correlation, we marveled at the staggering magnitude of 0.9528787, signifying a remarkably robust relationship between these seemingly disparate realms.

Amidst the clamor of statistical significance tests, our journey led us to the hallowed grounds of p-values, where we witnessed the enchanting sight of p < 0.01, affirming the resounding import of our findings. Our expedition through empirical models further elucidated the nuanced interplay between digital whispers and the tangible tapestry of market dynamics, unraveling the subtle nuances of this captivating correlation.

In summation, our research methodology wove together the strands of digital exhaustiveness and market profundity, ultimately yielding a harmonious symphony of statistical insight and empirical revelation. As we set forth on this scholarly quest, we invite our readers to don their analytical caps and embark on a journey that promises to amuse, astonish, and perhaps even induce the occasional wry grin amidst the seriousness of empirical exploration.


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.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 Google searches for 'who is elon musk' and Advanced Micro Devices' stock price (AMD). Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from Google Trends and LSEG Analytics (Refinitiv) .

For the time period 2005 to 2023, you found a correlation 0.9528787, r-squared of 0.9079779, 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]]
"Googling Elon Musk and Stock Hustle: A Quantitative Analysis of AMD's Market Moves"

[[ABSTRACT]]
Our study delves into the whimsical world of internet search trends and stock market volatility, seeking to answer the quintessential inquiry: does the virtual quest for knowledge about Elon Musk influence the realm of financial trading, specifically in the context of Advanced Micro Devices (AMD)? Leveraging data from Google Trends and LSEG Analytics (Refinitiv), we unveil a striking correlation between the frequency of searches for 'who is Elon Musk' and the erratic dance of AMD's stock price. With a jaw-dropping correlation coefficient of 0.9528787 and statistical significance at p < 0.01 over the period from 2005 to 2023, our findings not only tickle the intellect but also propel us to ponder the mysterious interplay between internet musings and market dynamics. Our results provoke both laughter and contemplation, all while shedding light on the curious confluence of cyberspace curiosities and financial flurries.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The intersection of internet search behavior and stock market volatility has become an increasingly intriguing area of study in the fields of both finance and information technology. As the virtual landscape continues to shape our daily lives, the influence of online curiosities on real-world economic activities has not only piqued the interest of researchers but also captured the imagination of the general public. In this study, we embark on a riveting journey to uncover the potential relationship between Google searches for 'who is Elon Musk' and the tumultuous tango of Advanced Micro Devices' (AMD) stock price. As we delve into this peculiar fusion of digital inquisitiveness and financial fervor, we aim to provide empirical evidence and statistical insights that will not only tickle the fancy of the academically inclined but also offer a moment of whimsy in the query-riddled world of empirical research.
The quirks and quips of the internet age have unmistakably infused the tapestry of modern financial markets. While traditional economic theories and market analyses have long relied on tangible factors such as earnings reports, macroeconomic indicators, and geopolitical events to explain market movements, the rise of the digital era has introduced an enthralling array of non-traditional variables that seemingly possess some degree of influence over market behavior. With memes, social media trends, and viral internet phenomena mingling amidst the charts and graphs of financial data, the once-clear boundary between virtual space and financial reality has become delightfully blurry. Indeed, as we navigate the tempestuous seas of market dynamics, it appears that the digital musings of the online populace may hold unforeseen sway over the ebb and flow of stock prices.
In this light, the bewitching charisma of Elon Musk, the enigmatic entrepreneur and tech titan, serves as a captivating figure for our investigation. As the founder of Tesla and SpaceX, Musk's enigmatic aura and penchant for earth-shattering innovations have rendered him a perennial subject of digital discourse. However, it is not merely the extraordinary exploits of Musk that captivate the collective imagination, but also the more fundamental question that many internet denizens seek to answer: "who is Elon Musk?" As we embark on our quest to unravel the link between such queries and AMD's stock price, we will encounter a medley of statistical analyses, correlation coefficients, and empirical models - where the seemingly mundane meets the wonder of the web.
Amidst the sobering backdrop of financial markets and statistical examinations, it is our hope that this study will offer both a dash of levity and a spark of curiosity, inviting scholars and market aficionados alike to ponder the delightful dance between internet whimsy and stock market hustle. As we set forth on this whimsical yet weighty endeavor, we invite our readers to don their analytical spectacles, fasten their seatbelts, and prepare for a scholarly journey that promises to entertain, enlighten, and perhaps even elicit a wry smile or two along the way.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

Our analysis unearthed a staggering correlation between the frequency of searches for 'who is Elon Musk' and the unpredictable leaps and bounds of AMD's stock price. Over the 2005 to 2023 period, we found a robust correlation coefficient of 0.9528787, an r-squared value of 0.9079779, and a p-value less than 0.01, signifying that the relationship we observed is statistically significant.

As if straight out of a sci-fi thriller, the scatterplot in Fig. 1 vividly depicts the powerful link between the two variables. The data points are so perfectly aligned, it's like they're executing a synchronized dance routine – who knew Google searches and stock prices could harmonize so beautifully? This connection is not just statistically noteworthy; it's practically singing and dancing for our attention!

In terms of practical implications, our findings suggest that investor sentiment (as indicated by Google searches) regarding the enigmatic Elon Musk might have a substantial impact on AMD's stock movements. It's as if the virtual ponderings about Mr. Musk's identity and endeavors are injecting a jolt of voltage into the financial markets. Who would have thought that a simple Google search could have such zinging consequences for stock prices? It's like finding out that a butterfly flapping its wings in the virtual realm can really stir up a stock market storm.

Our results open up a Pandora's box of questions. Are investors feverishly googling 'who is Elon Musk' in anticipation of his next groundbreaking venture, or are they simply trying to figure out if he's an alien from another planet? We leave that delightful mystery to the realm of internet folklore.

In conclusion, our study not only serves as a testament to the curious intersection of online curiosity and financial fervor but also provides ample fodder for thought and amusement. The evidence we've unveiled waltzes into uncharted territory, provoking chuckles and contemplation in equal measure. Our research encourages a whimsical yet academic reflection on how the internet's musings may clandestinely sway the bustling world of stock markets. And with that, we invite our readers to embrace the intellectual frolic of our findings, all while holding onto their hats as they navigate the winds of empirical discovery.


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics 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 Google searches for 'who is elon musk' and Advanced Micro Devices' stock price (AMD). Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Limit your response to 500 tokens.

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

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

[[TITLE]]
"Googling Elon Musk and Stock Hustle: A Quantitative Analysis of AMD's Market Moves"

[[ABSTRACT]]
Our study delves into the whimsical world of internet search trends and stock market volatility, seeking to answer the quintessential inquiry: does the virtual quest for knowledge about Elon Musk influence the realm of financial trading, specifically in the context of Advanced Micro Devices (AMD)? Leveraging data from Google Trends and LSEG Analytics (Refinitiv), we unveil a striking correlation between the frequency of searches for 'who is Elon Musk' and the erratic dance of AMD's stock price. With a jaw-dropping correlation coefficient of 0.9528787 and statistical significance at p < 0.01 over the period from 2005 to 2023, our findings not only tickle the intellect but also propel us to ponder the mysterious interplay between internet musings and market dynamics. Our results provoke both laughter and contemplation, all while shedding light on the curious confluence of cyberspace curiosities and financial flurries.

[[LITERATURE REVIEW]]
Several serious studies have delved into the intriguing realm of internet search behavior and its potential impact on financial markets. In "Smith et al." (2020), the authors uncover a nexus between online search patterns and stock price movements, shedding light on the far-reaching implications of digital curiosity. Similarly, Doe and colleagues (2018) provide empirical evidence of the influence of virtual inquiries on market dynamics, offering a tantalizing glimpse into the curious interplay of cyber musings and economic fervor. Furthermore, Jones (2016) presents a comprehensive analysis of internet search trends and their correlation with stock market volatility, laying the groundwork for the exploration of seemingly whimsical variables in the realm of finance.
Turning to the realm of non-fiction literature, books such as "Freakonomics" by Steven D. Levitt and Stephen J. Dubner and "The Signal and the Noise" by Nate Silver provide thought-provoking insights into the unorthodox factors that may influence economic phenomena, challenging traditional perspectives with a dash of wit and wisdom. On the fictional front, works like "The Hitchhiker's Guide to the Galaxy" by Douglas Adams and "Ready Player One" by Ernest Cline captivate readers with their imaginative take on the fusion of technology and human curiosity, evoking a sense of wonder and amusement in the exploration of virtual realms.
Amidst this scholarly milieu, social media posts play an unexpected yet significant role in shaping the discourse around internet inquiries and their potential impact on financial markets. A tweet by @FinanceEnthusiast hypothesizing about the correlation between Google searches for 'who is Elon Musk' and Advanced Micro Devices' stock price garnered attention, fueling conversations about the whimsical yet thought-provoking connections that may exist in the digital age.
As we venture into the enchanting confluence of internet quests and market machinations, it becomes apparent that the intersection of cyberspace curiosities and financial flurries offers a riveting fusion of empirical inquiry and lighthearted exploration. The literature surrounding our investigation not only provides a solid foundation for our study but also injects a delightful dose of levity into the otherwise solemn world of academic research.

[[RESULTS]]
Our analysis unearthed a staggering correlation between the frequency of searches for 'who is Elon Musk' and the unpredictable leaps and bounds of AMD's stock price. Over the 2005 to 2023 period, we found a robust correlation coefficient of 0.9528787, an r-squared value of 0.9079779, and a p-value less than 0.01, signifying that the relationship we observed is statistically significant.
As if straight out of a sci-fi thriller, the scatterplot in Fig. 1 vividly depicts the powerful link between the two variables. The data points are so perfectly aligned, it's like they're executing a synchronized dance routine – who knew Google searches and stock prices could harmonize so beautifully? This connection is not just statistically noteworthy; it's practically singing and dancing for our attention!
In terms of practical implications, our findings suggest that investor sentiment (as indicated by Google searches) regarding the enigmatic Elon Musk might have a substantial impact on AMD's stock movements. It's as if the virtual ponderings about Mr. Musk's identity and endeavors are injecting a jolt of voltage into the financial markets. Who would have thought that a simple Google search could have such zinging consequences for stock prices? It's like finding out that a butterfly flapping its wings in the virtual realm can really stir up a stock market storm.
Our results open up a Pandora's box of questions. Are investors feverishly googling 'who is Elon Musk' in anticipation of his next groundbreaking venture, or are they simply trying to figure out if he's an alien from another planet? We leave that delightful mystery to the realm of internet folklore.
In conclusion, our study not only serves as a testament to the curious intersection of online curiosity and financial fervor but also provides ample fodder for thought and amusement. The evidence we've unveiled waltzes into uncharted territory, provoking chuckles and contemplation in equal measure. Our research encourages a whimsical yet academic reflection on how the internet's musings may clandestinely sway the bustling world of stock markets. And with that, we invite our readers to embrace the intellectual frolic of our findings, all while holding onto their hats as they navigate the winds of empirical discovery.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

Our study delves into the enthralling interplay between internet searches for 'who is Elon Musk' and AMD's stock price, shedding light on the quirky yet compelling connection between virtual curiosity and financial fervor. Our results, with their impressive correlation coefficient of 0.9528787 and statistical significance at p < 0.01, not only echo the prior research conducted by Smith et al. (2020) and Doe et al. (2018) but also catapult these findings into the stratosphere of statistical significance. It's as if our data points are holding hands and skipping along the correlation graph, exuberantly reaffirming the potent link between cyber queries and market tumult.

The literature has long hinted at the potential marriage of whimsical internet inquiries and market machinations, and our study playfully unravels this enigma, much like unwrapping a surprise gift of statistical intrigue. Indeed, our findings corroborate the notion that the virtual ponderings about Elon Musk's identity and endeavors can wield a tangible impact on stock prices, like a magician wielding a wand of market influence. Who knew that internet musings could pack such a punch in the financial arena? It's as if the virtual world is casting a spell on the stock market, with 'who is Elon Musk' serving as the incantation for stock price fluctuations.

But let's not overlook the delightful irony embedded within our findings – the correlation between Google searches for 'who is Elon Musk' and AMD's stock price is not just a statistical waltz; it's a testament to the uncanny dance of technology and human curiosity in shaping financial market dynamics. It's as if the digital realm is staging a grand performance, with stock prices pirouetting to the rhythm of virtual musings. As we contemplate this dazzling dance, we are reminded of the captivating fusion of empirical inquiry and lighthearted exploration that underpins our investigation.

Our study, in all its statistical pomp and circumstance, leads us to ponder the tantalizing conundrum of whether investors are feverishly Google-searching 'who is Elon Musk' in anticipation of his next groundbreaking venture or simply to confirm if he's an extraterrestrial being in disguise. As we revel in this delightful mystery, we invite our readers to bask in the sheer whimsy and scholarly splendor of our research, all while remaining primed for the unexpected twists and turns that may unfold in the enigmatic realm of internet folklore.


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics 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 Google searches for 'who is elon musk' and Advanced Micro Devices' stock price (AMD). Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
"Googling Elon Musk and Stock Hustle: A Quantitative Analysis of AMD's Market Moves"

[[ABSTRACT]]
Our study delves into the whimsical world of internet search trends and stock market volatility, seeking to answer the quintessential inquiry: does the virtual quest for knowledge about Elon Musk influence the realm of financial trading, specifically in the context of Advanced Micro Devices (AMD)? Leveraging data from Google Trends and LSEG Analytics (Refinitiv), we unveil a striking correlation between the frequency of searches for 'who is Elon Musk' and the erratic dance of AMD's stock price. With a jaw-dropping correlation coefficient of 0.9528787 and statistical significance at p < 0.01 over the period from 2005 to 2023, our findings not only tickle the intellect but also propel us to ponder the mysterious interplay between internet musings and market dynamics. Our results provoke both laughter and contemplation, all while shedding light on the curious confluence of cyberspace curiosities and financial flurries.

[[INTRDUCTION]]
The intersection of internet search behavior and stock market volatility has become an increasingly intriguing area of study in the fields of both finance and information technology. As the virtual landscape continues to shape our daily lives, the influence of online curiosities on real-world economic activities has not only piqued the interest of researchers but also captured the imagination of the general public. In this study, we embark on a riveting journey to uncover the potential relationship between Google searches for 'who is Elon Musk' and the tumultuous tango of Advanced Micro Devices' (AMD) stock price. As we delve into this peculiar fusion of digital inquisitiveness and financial fervor, we aim to provide empirical evidence and statistical insights that will not only tickle the fancy of the academically inclined but also offer a moment of whimsy in the query-riddled world of empirical research.
The quirks and quips of the internet age have unmistakably infused the tapestry of modern financial markets. While traditional economic theories and market analyses have long relied on tangible factors such as earnings reports, macroeconomic indicators, and geopolitical events to explain market movements, the rise of the digital era has introduced an enthralling array of non-traditional variables that seemingly possess some degree of influence over market behavior. With memes, social media trends, and viral internet phenomena mingling amidst the charts and graphs of financial data, the once-clear boundary between virtual space and financial reality has become delightfully blurry. Indeed, as we navigate the tempestuous seas of market dynamics, it appears that the digital musings of the online populace may hold unforeseen sway over the ebb and flow of stock prices.
In this light, the bewitching charisma of Elon Musk, the enigmatic entrepreneur and tech titan, serves as a captivating figure for our investigation. As the founder of Tesla and SpaceX, Musk's enigmatic aura and penchant for earth-shattering innovations have rendered him a perennial subject of digital discourse. However, it is not merely the extraordinary exploits of Musk that captivate the collective imagination, but also the more fundamental question that many internet denizens seek to answer: "who is Elon Musk?" As we embark on our quest to unravel the link between such queries and AMD's stock price, we will encounter a medley of statistical analyses, correlation coefficients, and empirical models - where the seemingly mundane meets the wonder of the web.
Amidst the sobering backdrop of financial markets and statistical examinations, it is our hope that this study will offer both a dash of levity and a spark of curiosity, inviting scholars and market aficionados alike to ponder the delightful dance between internet whimsy and stock market hustle. As we set forth on this whimsical yet weighty endeavor, we invite our readers to don their analytical spectacles, fasten their seatbelts, and prepare for a scholarly journey that promises to entertain, enlighten, and perhaps even elicit a wry smile or two along the way.

[[RESULTS]]
Our analysis unearthed a staggering correlation between the frequency of searches for 'who is Elon Musk' and the unpredictable leaps and bounds of AMD's stock price. Over the 2005 to 2023 period, we found a robust correlation coefficient of 0.9528787, an r-squared value of 0.9079779, and a p-value less than 0.01, signifying that the relationship we observed is statistically significant.
As if straight out of a sci-fi thriller, the scatterplot in Fig. 1 vividly depicts the powerful link between the two variables. The data points are so perfectly aligned, it's like they're executing a synchronized dance routine – who knew Google searches and stock prices could harmonize so beautifully? This connection is not just statistically noteworthy; it's practically singing and dancing for our attention!
In terms of practical implications, our findings suggest that investor sentiment (as indicated by Google searches) regarding the enigmatic Elon Musk might have a substantial impact on AMD's stock movements. It's as if the virtual ponderings about Mr. Musk's identity and endeavors are injecting a jolt of voltage into the financial markets. Who would have thought that a simple Google search could have such zinging consequences for stock prices? It's like finding out that a butterfly flapping its wings in the virtual realm can really stir up a stock market storm.
Our results open up a Pandora's box of questions. Are investors feverishly googling 'who is Elon Musk' in anticipation of his next groundbreaking venture, or are they simply trying to figure out if he's an alien from another planet? We leave that delightful mystery to the realm of internet folklore.
In conclusion, our study not only serves as a testament to the curious intersection of online curiosity and financial fervor but also provides ample fodder for thought and amusement. The evidence we've unveiled waltzes into uncharted territory, provoking chuckles and contemplation in equal measure. Our research encourages a whimsical yet academic reflection on how the internet's musings may clandestinely sway the bustling world of stock markets. And with that, we invite our readers to embrace the intellectual frolic of our findings, all while holding onto their hats as they navigate the winds of empirical discovery.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In the captivating saga of internet curiosities and stock market capers, our study has unearthed a veritable goldmine of statistical intrigue. The resounding correlation between Google searches for 'who is Elon Musk' and the frenetic fandango of AMD's stock price is nothing short of a digital tango that would make even the most seasoned investor do a double take. Our findings not only underscore the tantalizing interplay between cyber musings and financial fever, but they also serve as a whimsical reminder that the virtual realm's wizardry may hold more sway over the stock market than meets the eye.

As our results shimmy onto the scholarly stage, they beckon us to ponder the enigmatic allure of Mr. Musk – a figure whose digital aura seems to possess an almost magnetic pull on the financial cosmos. With such a robust correlation coefficient, it's tempting to speculate that every Google search for 'who is Elon Musk' might just be the virtual equivalent of a stock market earthquake, causing ripples and reverberations that tantalize the mathematical imagination.

Our study's ripple effect extends beyond the realm of empirical musings, sparking a chuckle here and a furrowed brow there, as the quirky conundrum of online quests for Elon Musk's identity unravels into a tableau of financial intrigue. It's as if the virtual ether has woven a delightful dance floor for statistical quirks to twirl their way into the hearts of market analysts and academics alike.

In the grand symphony of stock market mystique, our findings stand as a comedic overture that invites us to ponder the mysterious tango between internet whimsy and market machinations. With Google searches for 'who is Elon Musk' casting their spell on AMD's stock price, it seems that there may be more to the virtual reverie than meets the eye.

In summary, our study shines a spotlight on the whimsical waltz between digital ponderings and stock market shimmies, challenging scholars and market enthusiasts to embrace the rollicking rhythms of statistical discovery. And with that, we assert with utmost confidence: No more research is needed in this area.


Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of academic journals. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding research, scientific, or academic journal that would publish a paper entited Googling Elon Musk and Stock Hustle: A Quantitative Analysis of AMD's Market Moves. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Digital Economy and Financial Analysis


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 Googling Elon Musk and Stock Hustle: A Quantitative Analysis of AMD's Market Moves. Respond only with the name of a fictional organization.

ChatGPT:

The Center for Technological Innovation and Economic Analysis


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 Googling Elon Musk and Stock Hustle: A Quantitative Analysis of AMD's Market Moves with an abstract of Our study delves into the whimsical world of internet search trends and stock market volatility, seeking to answer the quintessential inquiry: does the virtual quest for knowledge about Elon Musk influence the realm of financial trading, specifically in the context of Advanced Micro Devices (AMD)? Leveraging data from Google Trends and LSEG Analytics (Refinitiv), we unveil a striking correlation between the frequency of searches for 'who is Elon Musk' and the erratic dance of AMD's stock price. With a jaw-dropping correlation coefficient of 0.9528787 and statistical significance at p < 0.01 over the period from 2005 to 2023, our findings not only tickle the intellect but also propel us to ponder the mysterious interplay between internet musings and market dynamics. Our results provoke both laughter and contemplation, all while shedding light on the curious confluence of cyberspace curiosities and financial flurries.

ChatGPT:

Elon Musk, stock market, AMD, Google Trends, LSEG Analytics, market volatility, search trends, financial trading, internet search, correlation coefficient, statistical significance, market dynamics, cyberspace curiosities, financial flurries, Elon Musk searches, AMD stock price, internet musings, stock market influence

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



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Data details

Google searches for 'who is elon musk'
Detailed data title: Relative volume of Google searches for 'who is elon musk' (Worldwide, without quotes)
Source: Google Trends
Additional Info: Relative search volume (not absolute numbers)

See what else correlates with Google searches for 'who is elon musk'

Advanced Micro Devices' stock price (AMD)
Detailed data title: Opening price of Advanced Micro Devices (AMD) on the first trading day of the year
Source: LSEG Analytics (Refinitiv)
Additional Info: Via Microsoft Excel Stockhistory function

See what else correlates with Advanced Micro Devices' stock price (AMD)

Correlation r = 0.9528787 (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 = 0.9079779 (Coefficient of determination)
This means 90.8% of the change in the one variable (i.e., Advanced Micro Devices' stock price (AMD)) is predictable based on the change in the other (i.e., Google searches for 'who is elon musk') over the 19 years from 2005 through 2023.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 3.11E-10. 0.0000000003105188535687485600
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 0.95 in 3.11E-8% of random cases. Said differently, if you correlated 3,220,416,372 random variables You don't actually need 3 billion 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 18 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 18 because we have two variables measured over a period of 19 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.

[ 0.88, 0.98 ] 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.
2005200620072008200920102011201220132014201520162017201820192020202120222023
Google searches for 'who is elon musk' (Rel. search volume)0.750.08333330.08333330.09090910.1111110000.7511.583331.666673.666678.416676.0833315.416726.33334326.8889
Advanced Micro Devices' stock price (AMD) (Stock price)22.1131.0220.087.42.199.798.445.532.553.852.72.7711.4210.4218.0146.8692.11145.1466




Why this works

  1. Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
  2. Lack of causal connection: There is probably Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
    no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
  3. Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
    p-value calculation does not take this into account, so mathematically it appears less probable than it really is.




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([0.75,0.0833333,0.0833333,0.0909091,0.111111,0,0,0,0.75,1,1.58333,1.66667,3.66667,8.41667,6.08333,15.4167,26.3333,43,26.8889,])
array_2 = np.array([22.11,31.02,20.08,7.4,2.19,9.79,8.44,5.53,2.55,3.85,2.7,2.77,11.42,10.42,18.01,46.86,92.11,145.14,66,])
array_1_name = "Google searches for 'who is elon musk'"
array_2_name = "Advanced Micro Devices' stock price (AMD)"

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

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



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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.

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Correlation ID: 4162 · Black Variable ID: 1487 · Red Variable ID: 1585
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