Spurious correlation #3,121 · 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 first name Walker and the second variable is NVIDIA's stock price (NVDA). The chart goes from 2002 to 2022, 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 first name Walker and the second variable is NVIDIA's stock price (NVDA). The chart goes from 2002 to 2022, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As the number of babies named Walker rose, so did the demand for walking assistance devices, leading to a surge in interest for advanced mobility technology like that produced by NVIDIA. After all, every Walker needs a good support system!

^{Show image generation prompt} Model: dalle-3
Prompt: Generate an image of a futuristic city square where a group of individuals named Walker confidently strides through a bustling crowd. The group's charismatic aura draws attention from onlookers. A massive digital billboard prominently displays NVIDIA's stock price on an upward trajectory, captivating passersby who discuss the company's technological prowess. The image should capture the intertwining confidence of the Walkers and the surge in NVIDIA's stock price, symbolizing the inspiration for others to invest in innovative technology. 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: Popularity of the first name Walker and NVIDIA's stock price (NVDA). 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: Psychedelic Data cyber art Glitch art Hyper-realistic High-tech
ChatGPT: High-tech

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 Popularity of the first name Walker and NVIDIA's stock price (NVDA), in the following situation: Because as more people named Walker become popular, they start walking around with more confidence and swagger, inadvertently convincing others to invest in cutting-edge technology like NVIDIA's products. This increased trust in NVIDIA's innovation and expertise leads to a surge in their stock price, all thanks to the influence of the name Walker.. Keep the description simple.
ChatGPT: In a bustling city square, a group of people named Walker confidently strolls through the crowd, exuding a charismatic aura that catches the attention of those around them. Meanwhile, a gigantic digital billboard displays NVIDIA's stock price soaring to new heights, as people in the background discuss how they trust in the company's technological prowess. The presence of the Walkers seems to inadvertently inspire others to invest in the innovative technology, causing the confidence of the Walkers and the surge in NVIDIA's stock price to intertwine in the air.

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: [ High-tech ] and depicting this scene: In a bustling city square, a group of people named Walker confidently strolls through the crowd, exuding a charismatic aura that catches the attention of those around them. Meanwhile, a gigantic digital billboard displays NVIDIA's stock price soaring to new heights, as people in the background discuss how they trust in the company's technological prowess. The presence of the Walkers seems to inadvertently inspire others to invest in the innovative technology, causing the confidence of the Walkers and the surge in NVIDIA's stock price to intertwine in the air. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a futuristic city square where a group of individuals named Walker confidently strides through a bustling crowd. The group's charismatic aura draws attention from onlookers. A massive digital billboard prominently displays NVIDIA's stock price on an upward trajectory, captivating passersby who discuss the company's technological prowess. The image should capture the intertwining confidence of the Walkers and the surge in NVIDIA's stock price, symbolizing the inspiration for others to invest in innovative technology.

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

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

AI academic paper

(Because p < 0.01)

Take a Stroll with Walker: Exploring the Connection Between the Popularity of the Name Walker and NVIDIA's Stock Price

Journal of Semiotic Stock Analysis

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 first name Walker and NVIDIA's stock price (NVDA). 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 name some cartoons and childrens' shows that you watched that are related to the topic.

Here is the title and abstract of the paper:
[[TITLE]]
"Take a Stroll with Walker: Exploring the Connection Between the Popularity of the Name Walker and NVIDIA's Stock Price"

[[ABSTRACT]]
Research examining the potential correlations between the popularity of the first name "Walker" and NVIDIA's stock price has been sorely lacking in the academic community. In this study, utilizing data from the US Social Security Administration and LSEG Analytics (Refinitiv), we endeavored to address this curiosity. The findings revealed a surprisingly strong correlation coefficient of 0.9662317 and p < 0.01 for the period spanning from 2002 to 2022, shedding light on the fascinating relationship between the two seemingly disparate entities. Our results offer an engaging perspective on the influence of personal nomenclature on financial markets, extending a whimsical touch to the world of stock price analysis. We welcome future research to delve into the causes and effects of such an unexpected correlation and explore the potential implications for investors and parents alike. A punny path to informed investment decisions, indeed!

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The connection between the popularity of certain names and their impact on various aspects of life has long intrigued scholars and armchair enthusiasts alike. From the influence of royal monikers on baby naming trends to the unexpected rise of certain names in pop culture, the power of nomenclature cannot be understated. In this vein, we aim to embark on a lighthearted yet illuminating exploration into the correlation between the prevalence of the first name "Walker" and the stock price of NVIDIA, a prominent player in the world of technology and finance.
While the idea of an individual's name exerting any influence on the trajectory of a multinational corporation's stock may initially sound far-fetched or whimsical, our preliminary investigation into this intriguing relationship has yielded some surprising and, dare we say, delightful results. From pondering whether "Walker" may indeed be striding in tandem with NVIDIA's stock price to wryly considering the notion of a "walk-in" effect on market performance, we invite the reader to join us on this quirky academic stroll.
By delving into the depths of historical data and statistical analysis, we seek to shed light on what might at first appear to be an incongruous duo - the eponymous first name "Walker" and the fluctuating fortunes of NVIDIA's stock price. Our findings promise to offer a chuckle or two along the way as we uncover a somewhat unexpected correlation, providing a fresh angle on the interplay between personal naming patterns and the ever-evolving realm of financial markets.
As we don our academic walking shoes and embark on this mirthful yet meaningful investigation, we invite fellow researchers and enthusiasts to partake in this unconventional excursion, poised to unearth not only statistical insights but also a dash of whimsy in the realm of stock price analysis. For as we traverse this offbeat academic terrain, "Walker" may indeed find itself taking on a whole new meaning for market enthusiasts and expecting parents alike.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

The present literature review presents a comprehensive synthesis of existing studies, books, and television shows related to the correlation between the popularity of the first name "Walker" and NVIDIA's stock price. While minimal research has been conducted on this unusual intersection, the authors endeavor to shed light on this whimsical yet intriguing subject matter.

Smith and Doe (2015) explore the influence of personal names on various aspects of life, including societal perceptions and individual outcomes. Jones (2018) delves into the psychological effects of one's name on personal identity and behavior. These foundational works lay the groundwork for our investigation into the potential connection between the prevalence of the name "Walker" and the stock performance of NVIDIA.

Turning to non-fiction literature, "Freakonomics" by Levitt and Dubner examines unconventional correlations in diverse domains, encouraging readers to contemplate the unexpected relationships that underpin everyday phenomena. "Blink" by Malcolm Gladwell delves into the subconscious judgments and decisions that shape our perceptions, offering a lens through which to consider the unconscious impact of a name on market preferences.

In the realm of fiction, "The Alchemist" by Paulo Coelho weaves a tale of personal destiny and serendipitous encounters, prompting contemplation of the unforeseen connections that may underpin seemingly unrelated entities, such as a name and a stock price. "Walker, Texas Ranger" by Chuck Norris presents a captivating narrative of action and justice, evoking a sense of determination and steadfastness that may bear curious parallels to the fluctuations of stock prices.

Moreover, a number of animated series and children's shows have depicted characters named Walker, such as "Kim Possible" and "Hey Arnold!" These portrayals of Walkers in varying contexts invite a lighthearted but thought-provoking consideration of the potential impact of the name on the financial world, offering a whimsical lens through which to view our current research pursuit.

The integration of these diverse sources sets the stage for the present study's investigation into the unexpected yet captivating relationship between the popularity of the first name "Walker" and NVIDIA's stock price.

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 first name Walker and NVIDIA's stock price (NVDA). Make lots of jokes, goofy observations, and puns.

Your research team collected data from all across the internet, but mostly just used information from US Social Security Administration and LSEG Analytics (Refinitiv) . You used data from 2002 to 2022

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]]
"Take a Stroll with Walker: Exploring the Connection Between the Popularity of the Name Walker and NVIDIA's Stock Price"

[[ABSTRACT]]
Research examining the potential correlations between the popularity of the first name "Walker" and NVIDIA's stock price has been sorely lacking in the academic community. In this study, utilizing data from the US Social Security Administration and LSEG Analytics (Refinitiv), we endeavored to address this curiosity. The findings revealed a surprisingly strong correlation coefficient of 0.9662317 and p < 0.01 for the period spanning from 2002 to 2022, shedding light on the fascinating relationship between the two seemingly disparate entities. Our results offer an engaging perspective on the influence of personal nomenclature on financial markets, extending a whimsical touch to the world of stock price analysis. We welcome future research to delve into the causes and effects of such an unexpected correlation and explore the potential implications for investors and parents alike. A punny path to informed investment decisions, indeed!

[[INTRODUCTION]]
The connection between the popularity of certain names and their impact on various aspects of life has long intrigued scholars and armchair enthusiasts alike. From the influence of royal monikers on baby naming trends to the unexpected rise of certain names in pop culture, the power of nomenclature cannot be understated. In this vein, we aim to embark on a lighthearted yet illuminating exploration into the correlation between the prevalence of the first name "Walker" and the stock price of NVIDIA, a prominent player in the world of technology and finance.
While the idea of an individual's name exerting any influence on the trajectory of a multinational corporation's stock may initially sound far-fetched or whimsical, our preliminary investigation into this intriguing relationship has yielded some surprising and, dare we say, delightful results. From pondering whether "Walker" may indeed be striding in tandem with NVIDIA's stock price to wryly considering the notion of a "walk-in" effect on market performance, we invite the reader to join us on this quirky academic stroll.
By delving into the depths of historical data and statistical analysis, we seek to shed light on what might at first appear to be an incongruous duo - the eponymous first name "Walker" and the fluctuating fortunes of NVIDIA's stock price. Our findings promise to offer a chuckle or two along the way as we uncover a somewhat unexpected correlation, providing a fresh angle on the interplay between personal naming patterns and the ever-evolving realm of financial markets.
As we don our academic walking shoes and embark on this mirthful yet meaningful investigation, we invite fellow researchers and enthusiasts to partake in this unconventional excursion, poised to unearth not only statistical insights but also a dash of whimsy in the realm of stock price analysis. For as we traverse this offbeat academic terrain, "Walker" may indeed find itself taking on a whole new meaning for market enthusiasts and expecting parents alike.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

To elucidate the potential connection between the nomenclatural phenomenon of the "Walker" moniker and the fluctuations in NVIDIA's (NVDA) stock price, our research team engaged in a multifaceted data collection and analysis approach.

Data Collection:
We meticulously scoured the annals of the US Social Security Administration's archives to obtain longitudinal records of the prevalence of the first name "Walker" across the period from 2002 to 2022. This data furnished us with a comprehensive portrayal of the popularity dynamics of the name, capturing its ebb and flow within the societal fabric. We also tapped into the resources of LSEG Analytics (Refinitiv), leveraging their robust datasets to extract the historical stock price movements of NVIDIA over the same time frame. This source lent credence to our statistical analyses, offering a panoramic view of NVDA's market performance and facilitating the identification of potential correlative patterns.

Data Analysis:
Employing advanced statistical techniques, including time series analysis and correlation coefficient computation, we meticulously scrutinized the datasets for underlying patterns and associations. The overarching aim was to discern any semblance of a relationship between the temporal trajectories of the first name "Walker's" popularity and the undulating patterns in NVIDIA's stock price. With a sprinkle of whimsy and a dash of quantitative rigor, our analyses sought to tease out any unexpected alignments or divergences between these seemingly incongruous variables.

Statistical Modeling:
In crafting our analytical framework, we applied robust statistical models, including regression analysis and time series modeling, to distill key insights regarding the potential interplay between the "Walker" nomenclature and NVDA's stock performance. This methodical approach allowed us to discern nuanced nuances in the data, unraveling the intriguing tapestry of correlations and trends hidden within the datasets.

Control Variables:
Taking cognizance of the multifaceted nature of stock price movements, we prudently controlled for exogenous factors, such as macroeconomic indicators, industry-specific dynamics, and broader market trends, to ascertain the veracity of the observed correlation between the "Walker" name's popularity and NVIDIA's stock price. By conscientiously factoring in these covariates, we sought to ensure the robustness of our findings and mitigate the influence of extraneous forces on the purported relationship under scrutiny.

Overall, our research methodology combined a lighthearted exploration of nomenclatural influence with a rigorous statistical approach, blending scholarly inquiry with a whimsical perspective to offer a distinctive lens into the interplay between personal nomenclature and financial markets.

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 results section of an academic research paper. You speak in the past tense (you found...).
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the results section of an academic research paper presenting the findings of the connection between Popularity of the first name Walker and NVIDIA's stock price (NVDA). Make lots of jokes, goofy observations, and puns.

Your research team collected data from all across the internet, but mostly just used information from US Social Security Administration and LSEG Analytics (Refinitiv) .

For the time period 2002 to 2022, you found a correlation 0.9662317, r-squared of 0.9336037, 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]]
"Take a Stroll with Walker: Exploring the Connection Between the Popularity of the Name Walker and NVIDIA's Stock Price"

[[ABSTRACT]]
Research examining the potential correlations between the popularity of the first name "Walker" and NVIDIA's stock price has been sorely lacking in the academic community. In this study, utilizing data from the US Social Security Administration and LSEG Analytics (Refinitiv), we endeavored to address this curiosity. The findings revealed a surprisingly strong correlation coefficient of 0.9662317 and p < 0.01 for the period spanning from 2002 to 2022, shedding light on the fascinating relationship between the two seemingly disparate entities. Our results offer an engaging perspective on the influence of personal nomenclature on financial markets, extending a whimsical touch to the world of stock price analysis. We welcome future research to delve into the causes and effects of such an unexpected correlation and explore the potential implications for investors and parents alike. A punny path to informed investment decisions, indeed!

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The connection between the popularity of certain names and their impact on various aspects of life has long intrigued scholars and armchair enthusiasts alike. From the influence of royal monikers on baby naming trends to the unexpected rise of certain names in pop culture, the power of nomenclature cannot be understated. In this vein, we aim to embark on a lighthearted yet illuminating exploration into the correlation between the prevalence of the first name "Walker" and the stock price of NVIDIA, a prominent player in the world of technology and finance.
While the idea of an individual's name exerting any influence on the trajectory of a multinational corporation's stock may initially sound far-fetched or whimsical, our preliminary investigation into this intriguing relationship has yielded some surprising and, dare we say, delightful results. From pondering whether "Walker" may indeed be striding in tandem with NVIDIA's stock price to wryly considering the notion of a "walk-in" effect on market performance, we invite the reader to join us on this quirky academic stroll.
By delving into the depths of historical data and statistical analysis, we seek to shed light on what might at first appear to be an incongruous duo - the eponymous first name "Walker" and the fluctuating fortunes of NVIDIA's stock price. Our findings promise to offer a chuckle or two along the way as we uncover a somewhat unexpected correlation, providing a fresh angle on the interplay between personal naming patterns and the ever-evolving realm of financial markets.
As we don our academic walking shoes and embark on this mirthful yet meaningful investigation, we invite fellow researchers and enthusiasts to partake in this unconventional excursion, poised to unearth not only statistical insights but also a dash of whimsy in the realm of stock price analysis. For as we traverse this offbeat academic terrain, "Walker" may indeed find itself taking on a whole new meaning for market enthusiasts and expecting parents alike.

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

The analysis of the data revealed a remarkably strong positive correlation between the popularity of the first name "Walker" and NVIDIA's stock price. Over the period from 2002 to 2022, the correlation coefficient was found to be 0.9662317, indicating a particularly robust relationship between the two variables. Furthermore, the r-squared value of 0.9336037 suggests that a substantial 93.36% of the variance in NVIDIA's stock price can be explained by the prevalence of the name "Walker."

This unexpected correlation raises a delightful array of questions and considerations, adding a touch of whimsy to the often staid world of stock market analysis. As seemingly unrelated as the name "Walker" and a technology company's stock price may appear, the data unmistakably points to a striking association, one that prompts a wry smile and a raised eyebrow. The probability (p) value of less than 0.01 further underscores the statistical significance of the relationship, inviting investors and researchers alike to take a lighthearted saunter through this unexpected avenue of inquiry.

The Figure 1 scatterplot illustrates this eyebrow-raising association, graphically capturing the strong positive correlation between the popularity of the name "Walker" and NVIDIA's stock price. The scatterplot serves as a visual testament to this unanticipated linkage, where each data point conveys the intriguing dance between the frequency of the name "Walker" and the ebbs and flows of NVIDIA's stock valuation.

This revelatory finding adds a dash of playful curiosity to the world of financial analysis and prompts a chuckle at the serendipity of such an improbable relationship. The unexpected bond between personal nomenclature and stock market performance invites further exploration, offering a refreshing and entertaining diversion from the traditional paradigms of market analysis. Future research endeavors in this area would uncover additional layers to this puzzling yet engaging connection, potentially unraveling the implications for investors, market analysts, and anyone contemplating the naming of their future offspring. A whimsical, pun-filled journey indeed!

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 first name Walker and NVIDIA's stock price (NVDA). Make lots of jokes, goofy observations, and puns.

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]]
"Take a Stroll with Walker: Exploring the Connection Between the Popularity of the Name Walker and NVIDIA's Stock Price"

[[ABSTRACT]]
Research examining the potential correlations between the popularity of the first name "Walker" and NVIDIA's stock price has been sorely lacking in the academic community. In this study, utilizing data from the US Social Security Administration and LSEG Analytics (Refinitiv), we endeavored to address this curiosity. The findings revealed a surprisingly strong correlation coefficient of 0.9662317 and p < 0.01 for the period spanning from 2002 to 2022, shedding light on the fascinating relationship between the two seemingly disparate entities. Our results offer an engaging perspective on the influence of personal nomenclature on financial markets, extending a whimsical touch to the world of stock price analysis. We welcome future research to delve into the causes and effects of such an unexpected correlation and explore the potential implications for investors and parents alike. A punny path to informed investment decisions, indeed!

[[LITERATURE REVIEW]]
The present literature review presents a comprehensive synthesis of existing studies, books, and television shows related to the correlation between the popularity of the first name "Walker" and NVIDIA's stock price. While minimal research has been conducted on this unusual intersection, the authors endeavor to shed light on this whimsical yet intriguing subject matter.
Smith and Doe (2015) explore the influence of personal names on various aspects of life, including societal perceptions and individual outcomes. Jones (2018) delves into the psychological effects of one's name on personal identity and behavior. These foundational works lay the groundwork for our investigation into the potential connection between the prevalence of the name "Walker" and the stock performance of NVIDIA.
Turning to non-fiction literature, "Freakonomics" by Levitt and Dubner examines unconventional correlations in diverse domains, encouraging readers to contemplate the unexpected relationships that underpin everyday phenomena. "Blink" by Malcolm Gladwell delves into the subconscious judgments and decisions that shape our perceptions, offering a lens through which to consider the unconscious impact of a name on market preferences.
In the realm of fiction, "The Alchemist" by Paulo Coelho weaves a tale of personal destiny and serendipitous encounters, prompting contemplation of the unforeseen connections that may underpin seemingly unrelated entities, such as a name and a stock price. "Walker, Texas Ranger" by Chuck Norris presents a captivating narrative of action and justice, evoking a sense of determination and steadfastness that may bear curious parallels to the fluctuations of stock prices.
Moreover, a number of animated series and children's shows have depicted characters named Walker, such as "Kim Possible" and "Hey Arnold!" These portrayals of Walkers in varying contexts invite a lighthearted but thought-provoking consideration of the potential impact of the name on the financial world, offering a whimsical lens through which to view our current research pursuit.
The integration of these diverse sources sets the stage for the present study's investigation into the unexpected yet captivating relationship between the popularity of the first name "Walker" and NVIDIA's stock price.

[[RESULTS]]
The analysis of the data revealed a remarkably strong positive correlation between the popularity of the first name "Walker" and NVIDIA's stock price. Over the period from 2002 to 2022, the correlation coefficient was found to be 0.9662317, indicating a particularly robust relationship between the two variables. Furthermore, the r-squared value of 0.9336037 suggests that a substantial 93.36% of the variance in NVIDIA's stock price can be explained by the prevalence of the name "Walker."
This unexpected correlation raises a delightful array of questions and considerations, adding a touch of whimsy to the often staid world of stock market analysis. As seemingly unrelated as the name "Walker" and a technology company's stock price may appear, the data unmistakably points to a striking association, one that prompts a wry smile and a raised eyebrow. The probability (p) value of less than 0.01 further underscores the statistical significance of the relationship, inviting investors and researchers alike to take a lighthearted saunter through this unexpected avenue of inquiry.
The Figure 1 scatterplot illustrates this eyebrow-raising association, graphically capturing the strong positive correlation between the popularity of the name "Walker" and NVIDIA's stock price. The scatterplot serves as a visual testament to this unanticipated linkage, where each data point conveys the intriguing dance between the frequency of the name "Walker" and the ebbs and flows of NVIDIA's stock valuation.
This revelatory finding adds a dash of playful curiosity to the world of financial analysis and prompts a chuckle at the serendipity of such an improbable relationship. The unexpected bond between personal nomenclature and stock market performance invites further exploration, offering a refreshing and entertaining diversion from the traditional paradigms of market analysis. Future research endeavors in this area would uncover additional layers to this puzzling yet engaging connection, potentially unraveling the implications for investors, market analysts, and anyone contemplating the naming of their future offspring. A whimsical, pun-filled journey indeed!

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The uncanny correlation between the popularity of the first name "Walker" and NVIDIA's stock price, as evidenced by the robust correlation coefficient of 0.9662317 and the significant p-value of less than 0.01, opens a realm of playful speculation and nutty contemplation. The literature review curiously hinted at the potential influence of personal names on diverse aspects of life, offering a quirky foundation for our unorthodox inquiry. Smith and Doe's exploration of the societal impact of names finds an unexpected echo in our revelations, as the name "Walker" takes an unforeseen stroll into the domain of market dynamics. Likewise, "The Alchemist" whispers a tale of serendipity and personal destiny, lending a whimsical undertone to our surprising discovery.

Our findings provide empirical support for the curiosity sparked by prior literature, embracing the punny path of Freakonomics and the lighthearted contemplation inspired by "Blink." The literary breadcrumbs have led us to an unexpected intersection between personal nomenclature and financial phenomena, immortalizing the sagacious words of Chuck Norris in "Walker, Texas Ranger" as an unintentional harbinger of our perplexing revelation. In a delightful convergence of reality and fiction, our results endorse the subliminal impact of the name "Walker" on the stock performance of NVIDIA, fostering a chuckle-inducing avenue for future research and contemplation.

The mesmerizing scatterplot, akin to a whimsical piece of abstract art, visualizes the peculiar tango between the name "Walker" and NVIDIA's stock price, offering a lighthearted nod to the droll harmony underlying this unexpected correlation. With 93.36% of the variance in NVIDIA's stock price swaying to the beat of the name "Walker," investors and researchers are invited to partake in a jovial saunter through this amusing, albeit statistically significant, revelation.

In conclusion, our findings extend a comical flair to the orthodox realm of stock market analysis, suggesting a jocular wink from the universe at the coincidental pairing of a personal name and a technology company's financial performance. The unsuspecting impact of a name on market dynamics prompts a whimsical reconsideration of conventional paradigms, adding a lively touch to the enthralling tapestry of financial research. The curtain rises on a fanciful stage for further exploration, where investors and parents alike may find themselves mirthfully contemplating the curious dance between personal nomenclature and market fluctuations.

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 first name Walker and NVIDIA's stock price (NVDA). Make lots of jokes, goofy observations, and puns.

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]]
"Take a Stroll with Walker: Exploring the Connection Between the Popularity of the Name Walker and NVIDIA's Stock Price"

[[ABSTRACT]]
Research examining the potential correlations between the popularity of the first name "Walker" and NVIDIA's stock price has been sorely lacking in the academic community. In this study, utilizing data from the US Social Security Administration and LSEG Analytics (Refinitiv), we endeavored to address this curiosity. The findings revealed a surprisingly strong correlation coefficient of 0.9662317 and p < 0.01 for the period spanning from 2002 to 2022, shedding light on the fascinating relationship between the two seemingly disparate entities. Our results offer an engaging perspective on the influence of personal nomenclature on financial markets, extending a whimsical touch to the world of stock price analysis. We welcome future research to delve into the causes and effects of such an unexpected correlation and explore the potential implications for investors and parents alike. A punny path to informed investment decisions, indeed!

[[INTRDUCTION]]
The connection between the popularity of certain names and their impact on various aspects of life has long intrigued scholars and armchair enthusiasts alike. From the influence of royal monikers on baby naming trends to the unexpected rise of certain names in pop culture, the power of nomenclature cannot be understated. In this vein, we aim to embark on a lighthearted yet illuminating exploration into the correlation between the prevalence of the first name "Walker" and the stock price of NVIDIA, a prominent player in the world of technology and finance.
While the idea of an individual's name exerting any influence on the trajectory of a multinational corporation's stock may initially sound far-fetched or whimsical, our preliminary investigation into this intriguing relationship has yielded some surprising and, dare we say, delightful results. From pondering whether "Walker" may indeed be striding in tandem with NVIDIA's stock price to wryly considering the notion of a "walk-in" effect on market performance, we invite the reader to join us on this quirky academic stroll.
By delving into the depths of historical data and statistical analysis, we seek to shed light on what might at first appear to be an incongruous duo - the eponymous first name "Walker" and the fluctuating fortunes of NVIDIA's stock price. Our findings promise to offer a chuckle or two along the way as we uncover a somewhat unexpected correlation, providing a fresh angle on the interplay between personal naming patterns and the ever-evolving realm of financial markets.
As we don our academic walking shoes and embark on this mirthful yet meaningful investigation, we invite fellow researchers and enthusiasts to partake in this unconventional excursion, poised to unearth not only statistical insights but also a dash of whimsy in the realm of stock price analysis. For as we traverse this offbeat academic terrain, "Walker" may indeed find itself taking on a whole new meaning for market enthusiasts and expecting parents alike.

[[RESULTS]]
The analysis of the data revealed a remarkably strong positive correlation between the popularity of the first name "Walker" and NVIDIA's stock price. Over the period from 2002 to 2022, the correlation coefficient was found to be 0.9662317, indicating a particularly robust relationship between the two variables. Furthermore, the r-squared value of 0.9336037 suggests that a substantial 93.36% of the variance in NVIDIA's stock price can be explained by the prevalence of the name "Walker."
This unexpected correlation raises a delightful array of questions and considerations, adding a touch of whimsy to the often staid world of stock market analysis. As seemingly unrelated as the name "Walker" and a technology company's stock price may appear, the data unmistakably points to a striking association, one that prompts a wry smile and a raised eyebrow. The probability (p) value of less than 0.01 further underscores the statistical significance of the relationship, inviting investors and researchers alike to take a lighthearted saunter through this unexpected avenue of inquiry.
The Figure 1 scatterplot illustrates this eyebrow-raising association, graphically capturing the strong positive correlation between the popularity of the name "Walker" and NVIDIA's stock price. The scatterplot serves as a visual testament to this unanticipated linkage, where each data point conveys the intriguing dance between the frequency of the name "Walker" and the ebbs and flows of NVIDIA's stock valuation.
This revelatory finding adds a dash of playful curiosity to the world of financial analysis and prompts a chuckle at the serendipity of such an improbable relationship. The unexpected bond between personal nomenclature and stock market performance invites further exploration, offering a refreshing and entertaining diversion from the traditional paradigms of market analysis. Future research endeavors in this area would uncover additional layers to this puzzling yet engaging connection, potentially unraveling the implications for investors, market analysts, and anyone contemplating the naming of their future offspring. A whimsical, pun-filled journey indeed!

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Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our mirthful meander through the curious realm of the connection between the popularity of the first name "Walker" and NVIDIA's stock price has unveiled an unexpectedly robust correlation, delivering a delightful blend of statistical insight and whimsy to the world of financial analysis. The striking correlation coefficient of 0.9662317 and a p-value of less than 0.01 paint a vivid picture of the synchronous strides taken by "Walker" and NVIDIA's stock price over the past two decades. The r-squared value of 0.9336037 further highlights the substantial influence of this seemingly lighthearted variable on the valuation of a tech giant's shares.

Our findings not only provide an amusing anecdote for market enthusiasts but also offer a punny path to informed investment decisions. As we venture past the seemingly incongruous pairing of nomenclature and stock price, we must acknowledge the inherent whimsy and the potential implications for investors and expecting parents alike. The 'walk-in' effect on market performance and the 'Walker effect' on financial fortunes spark a chuckle and a raised eyebrow, inviting further exploration into this delightful avenue of inquiry.

However, despite the alluring charm of this unexpected correlation, we must assert that no further research is needed in this area, for we have trudged through this quirky terrain and arrived at a whimsically wondrous destination. The statistical significance of this correlation stands as a testament to the playful serendipity of academic exploration, offering a refreshing diversion from the dry and staid world of traditional market analysis. As we bid adieu to this pun-filled journey, we leave with a quirky tale that not only tickles the funny bone but also adds a touch of whimsy to the world of financial conjecture.

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 Take a Stroll with Walker: Exploring the Connection Between the Popularity of the Name Walker and NVIDIA's Stock Price. Respond only with the name of a fictional academic journal.

ChatGPT:

Journal of Semiotic Stock 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 Take a Stroll with Walker: Exploring the Connection Between the Popularity of the Name Walker and NVIDIA's Stock Price. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Quirky Research and 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 Take a Stroll with Walker: Exploring the Connection Between the Popularity of the Name Walker and NVIDIA's Stock Price with an abstract of Research examining the potential correlations between the popularity of the first name "Walker" and NVIDIA's stock price has been sorely lacking in the academic community. In this study, utilizing data from the US Social Security Administration and LSEG Analytics (Refinitiv), we endeavored to address this curiosity. The findings revealed a surprisingly strong correlation coefficient of 0.9662317 and p < 0.01 for the period spanning from 2002 to 2022, shedding light on the fascinating relationship between the two seemingly disparate entities. Our results offer an engaging perspective on the influence of personal nomenclature on financial markets, extending a whimsical touch to the world of stock price analysis. We welcome future research to delve into the causes and effects of such an unexpected correlation and explore the potential implications for investors and parents alike. A punny path to informed investment decisions, indeed!

ChatGPT:

Walker, first name popularity, stock price correlation, NVIDIA stock price, US Social Security Administration data, LSEG Analytics, Refinitiv data, correlation coefficient, stock price analysis, financial markets, personal nomenclature influence, investment decisions, correlation between name popularity and stock price

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

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Data details

Popularity of the first name Walker
Detailed data title: Babies of all sexes born in the US named Walker
Source: US Social Security Administration
See what else correlates with Popularity of the first name Walker

NVIDIA's stock price (NVDA)
Detailed data title: Opening price of NVIDIA (NVDA) 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 NVIDIA's stock price (NVDA)

Correlation r = 0.9662317 (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 = 0.9336037 (Coefficient of determination)
This means 93.4% of the change in the one variable (i.e., NVIDIA's stock price (NVDA)) is predictable based on the change in the other (i.e., Popularity of the first name Walker) over the 21 years from 2002 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.2E-12.^Show 0.0000000000012041354353494000
The p-value is a measure of how probable it is that we would randomly find a result this extreme.^Note More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.

But I am a p-villain. I absolutely did not test only one pair of variables one time. I correlated hundreds of millions of pairs of variables. I threw boatloads of data into an industrial-sized blender to find this correlation.

Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.97 in 1.2E-10% of random cases. Said differently, if you correlated 830,471,366,130 random variables^Note You don't actually need 830 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 20 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 20 because we have two variables measured over a period of 21 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.

[ 0.92, 0.99 ] 95% correlation confidence interval (using the Fisher z-transformation)
^{Read more about the confidence interval} The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

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

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

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

	2002	2003	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021	2022
Popularity of the first name Walker (Babies born)	628	638	740	812	708	609	559	595	656	686	715	857	1064	1028	1062	1119	1368	1675	1907	2983	4389
NVIDIA's stock price (NVDA) (Stock price)	5.6	1	1.96	2.03	3.06	6.18	8.53	2.02	4.63	3.88	3.58	3.14	3.98	5.03	8.07	26.1	48.95	32.66	59.69	131.04	298.15

Why this works

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

Try it yourself

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

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

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

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

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

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

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

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

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

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

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

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

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

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([628,638,740,812,708,609,559,595,656,686,715,857,1064,1028,1062,1119,1368,1675,1907,2983,4389,])
array_2 = np.array([5.6,1,1.96,2.03,3.06,6.18,8.53,2.02,4.63,3.88,3.58,3.14,3.98,5.03,8.07,26.1,48.95,32.66,59.69,131.04,298.15,])
array_1_name = "Popularity of the first name Walker"
array_2_name = "NVIDIA's stock price (NVDA)"

# 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 first name Walker
Line chart for only NVIDIA's stock price (NVDA)
AI-generated correlation image
The spurious research paper: Take a Stroll with Walker: Exploring the Connection Between the Popularity of the Name Walker and NVIDIA's Stock Price

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Correlation ID: 3121 · Black Variable ID: 2876 · Red Variable ID: 1544


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