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Spurious correlation #3,715 · 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 Lowe's Companies' stock price (LOW).  The chart goes from 2002 to 2022, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

More people naming their kids after a common household item led to a subconscious increase in home improvement projects and purchases, boosting the company's stock value.

Model: dalle-3
Prompt: Generate an image of a futuristic nursery bustling with activity. Baby boys wearing "Walker" onesies are cheerfully toddling around, their faces beaming with joy. In the background, parents are engaged in lively conversations about home improvement projects. Meanwhile, a high-tech display features the stock ticker for Lowe's Companies, showcasing a continuous surge in their stock price. The nursery exudes a vibrant atmosphere, with futuristic elements and a palpable sense of excitement in the air. 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 Lowe's Companies' stock price (LOW). 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: Charcoal High-tech Voxel art Cute 2D animation Cybernetic art
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 Lowe's Companies' stock price (LOW), in the following situation: Because the first name Walker became popular, more babies were named after the Texas Ranger, boosting interest in home improvement and causing Lowe's stock price to surge.. Keep the description simple.
ChatGPT: In a bustling nursery, baby boys wearing tiny "Walker" onesies are happily toddling around, while parents excitedly discuss home improvement projects. Behind them, the stock ticker for Lowe's Companies displays a steady surge in their stock price, reflecting the increased interest in home improvement.

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 nursery, baby boys wearing tiny "Walker" onesies are happily toddling around, while parents excitedly discuss home improvement projects. Behind them, the stock ticker for Lowe's Companies displays a steady surge in their stock price, reflecting the increased interest in home improvement. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a futuristic nursery bustling with activity. Baby boys wearing "Walker" onesies are cheerfully toddling around, their faces beaming with joy. In the background, parents are engaged in lively conversations about home improvement projects. Meanwhile, a high-tech display features the stock ticker for Lowe's Companies, showcasing a continuous surge in their stock price. The nursery exudes a vibrant atmosphere, with futuristic elements and a palpable sense of excitement in the air.

*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 Popularity of the first name Walker caused Lowe's Companies' stock price (LOW) to increase.

AI academic paper

(Because p < 0.01)
Lowe and behold: The 'LOW'down on the Impact of the Name 'Walker' on Stock Prices

The Journal of Financial Punnery

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 Popularity of the first name Walker and Lowe's Companies' stock price (LOW). Make lots of jokes, goofy observations, and puns.

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

Your research team used data from US Social Security Administration and LSEG Analytics (Refinitiv) to assess this nagging question. You found a correlation coefficient of 0.9850917 and p < 0.01 for 2002 to 2022.

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]]
"Lowe and behold: The 'LOW'down on the Impact of the Name 'Walker' on Stock Prices"

[[ABSTRACT]]
This research delves into the curious relationship between the prevalence of the first name "Walker" and the stock price of Lowe's Companies Inc. (LOW) over the past two decades. Leveraging data from the US Social Security Administration and LSEG Analytics (Refinitiv), our study unveiled a remarkably strong correlation coefficient of 0.9850917 and a statistical significance of p < 0.01. While the findings may initially seem like a walk in the park, they shed light on the uncanny influence of certain names on financial market trends. Join us as we take a whimsical stroll through the world of stock prices and nomenclature to uncover the surprising impact of the name "Walker" on LOW stock.


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 Popularity of the first name Walker and Lowe's Companies' stock price (LOW). Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Here is the title and abstract of the paper:
[[TITLE]]
"Lowe and behold: The 'LOW'down on the Impact of the Name 'Walker' on Stock Prices"

[[ABSTRACT]]
This research delves into the curious relationship between the prevalence of the first name "Walker" and the stock price of Lowe's Companies Inc. (LOW) over the past two decades. Leveraging data from the US Social Security Administration and LSEG Analytics (Refinitiv), our study unveiled a remarkably strong correlation coefficient of 0.9850917 and a statistical significance of p < 0.01. While the findings may initially seem like a walk in the park, they shed light on the uncanny influence of certain names on financial market trends. Join us as we take a whimsical stroll through the world of stock prices and nomenclature to uncover the surprising impact of the name "Walker" on LOW stock.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

Picture this: you're strolling through the labyrinth of stock market data, trying to make sense of the myriad factors influencing stock prices. Suddenly, amidst the sea of numbers and tickers, a peculiar pattern catches your eye. Could there truly be a correlation between the name "Walker" and the stock price of Lowe's Companies Inc. (LOW)? As outlandish as it may sound, our research delves into exactly that - the intriguing connection between nomenclature and financial markets.

In the realm of statistical analysis, it's not often that we get to embark on such a whimsical quest. However, armed with a hearty dose of curiosity and a penchant for uncovering the unexpected, we set out on this peculiar path. Our journey led us through the annals of the US Social Security Administration's vast trove of name data, and into the labyrinth of stock market valuations, where we stumbled upon an astonishing discovery.

The unveiling of a correlation coefficient of 0.9850917 and a statistical significance of p < 0.01 left us both astounded and tickled pink. But before you raise an incredulous eyebrow, let us assure you that this endeavor was no walk in the park. We wielded the tools of statistical analysis with precision, leaving no stone unturned in our quest to shed light on this whimsical phenomenon.

As we dive into the heart of our findings, prepare yourself for a lively jaunt through the curious terrain where the worlds of names and stock prices intersect. Buckle up, dear reader, as we navigate through the landscape of data and statistics to unravel the 'LOW'down on the impact of the name "Walker" on LOW stock. This venture promises not only a scholarly endeavor but also a hearty serving of puns, surprises, and unexpected correlations that will leave you chuckling and scratching your head in equal measure. So, grab your statistical walking stick, and let's embark on this thoroughly enjoyable journey.


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 Popularity of the first name Walker and Lowe's Companies' stock price (LOW). 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 you might move on to cartoons and children's shows that you watched for research.

Here is the title and abstract of the paper:
[[TITLE]]
"Lowe and behold: The 'LOW'down on the Impact of the Name 'Walker' on Stock Prices"

[[ABSTRACT]]
This research delves into the curious relationship between the prevalence of the first name "Walker" and the stock price of Lowe's Companies Inc. (LOW) over the past two decades. Leveraging data from the US Social Security Administration and LSEG Analytics (Refinitiv), our study unveiled a remarkably strong correlation coefficient of 0.9850917 and a statistical significance of p < 0.01. While the findings may initially seem like a walk in the park, they shed light on the uncanny influence of certain names on financial market trends. Join us as we take a whimsical stroll through the world of stock prices and nomenclature to uncover the surprising impact of the name "Walker" on LOW stock.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
Picture this: you're strolling through the labyrinth of stock market data, trying to make sense of the myriad factors influencing stock prices. Suddenly, amidst the sea of numbers and tickers, a peculiar pattern catches your eye. Could there truly be a correlation between the name "Walker" and the stock price of Lowe's Companies Inc. (LOW)? As outlandish as it may sound, our research delves into exactly that - the intriguing connection between nomenclature and financial markets.
In the realm of statistical analysis, it's not often that we get to embark on such a whimsical quest. However, armed with a hearty dose of curiosity and a penchant for uncovering the unexpected, we set out on this peculiar path. Our journey led us through the annals of the US Social Security Administration's vast trove of name data, and into the labyrinth of stock market valuations, where we stumbled upon an astonishing discovery.
The unveiling of a correlation coefficient of 0.9850917 and a statistical significance of p < 0.01 left us both astounded and tickled pink. But before you raise an incredulous eyebrow, let us assure you that this endeavor was no walk in the park. We wielded the tools of statistical analysis with precision, leaving no stone unturned in our quest to shed light on this whimsical phenomenon.
As we dive into the heart of our findings, prepare yourself for a lively jaunt through the curious terrain where the worlds of names and stock prices intersect. Buckle up, dear reader, as we navigate through the landscape of data and statistics to unravel the 'LOW'down on the impact of the name "Walker" on LOW stock. This venture promises not only a scholarly endeavor but also a hearty serving of puns, surprises, and unexpected correlations that will leave you chuckling and scratching your head in equal measure. So, grab your statistical walking stick, and let's embark on this thoroughly enjoyable journey.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The intersection of names and their potential impact on various aspects of life has been a subject of interest in diverse fields. Authors such as Smith (2015) and Doe (2017) have explored the psychological and sociological implications of personal nomenclature. Smith (2015) delves into the influence of names on individuals' perceptions of themselves and others, while Doe (2017) examines the impact of names on career success. In a parallel vein, Jones (2018) investigates the correlation between names and consumer behavior, shedding light on the curious ways in which names can influence purchasing decisions.

Moving on from the realm of serious academic research, let us take a lighthearted detour into some non-fiction books that explore the quirks of human nomenclature. In "Freakonomics" by Steven D. Levitt and Stephen J. Dubner, the authors delve into unconventional correlations in the world of economics, uncovering surprising connections that challenge conventional wisdom. While not directly related to the stock market or names, this work embodies the spirit of uncovering unexpected relationships – a theme central to our own research.

Shifting gears to the world of fiction, the novel "The Name of the Wind" by Patrick Rothfuss and "The Shadow of the Wind" by Carlos Ruiz Zafón present captivating tales where names hold profound significance in shaping the destinies of characters. While these books may not directly tackle the correlation between names and stock prices, they serve as a whimsical reminder of the power and symbolism associated with names in literature and folklore.

Taking a playful leap into the world of pop culture, the animated series "Johnny Bravo" and the children's show "Johnny Test" provide ample fodder for lighthearted exploration. These cartoons, while far removed from the realm of financial markets, playfully highlight the peculiarities of names and their associations in the realm of entertainment. While our exploration may not involve fictional characters and their adventures, we aim to infuse a similar sense of whimsy and amusement as we navigate the intriguing terrain of nomenclature and stock prices.

As we pivot back to our serious academic inquiry, let us segue into the heart of our study, where we unravel the captivating connection between the prevalence of the first name "Walker" and the stock price of Lowe's Companies Inc. (LOW). So, buckle up for this scholarly joyride as we unearth the unexpectedly entertaining 'LOW'down on the impact of the name "Walker" on LOW stock.


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 Popularity of the first name Walker and Lowe's Companies' stock price (LOW). Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from 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]]
"Lowe and behold: The 'LOW'down on the Impact of the Name 'Walker' on Stock Prices"

[[ABSTRACT]]
This research delves into the curious relationship between the prevalence of the first name "Walker" and the stock price of Lowe's Companies Inc. (LOW) over the past two decades. Leveraging data from the US Social Security Administration and LSEG Analytics (Refinitiv), our study unveiled a remarkably strong correlation coefficient of 0.9850917 and a statistical significance of p < 0.01. While the findings may initially seem like a walk in the park, they shed light on the uncanny influence of certain names on financial market trends. Join us as we take a whimsical stroll through the world of stock prices and nomenclature to uncover the surprising impact of the name "Walker" on LOW stock.

[[INTRODUCTION]]
Picture this: you're strolling through the labyrinth of stock market data, trying to make sense of the myriad factors influencing stock prices. Suddenly, amidst the sea of numbers and tickers, a peculiar pattern catches your eye. Could there truly be a correlation between the name "Walker" and the stock price of Lowe's Companies Inc. (LOW)? As outlandish as it may sound, our research delves into exactly that - the intriguing connection between nomenclature and financial markets.
In the realm of statistical analysis, it's not often that we get to embark on such a whimsical quest. However, armed with a hearty dose of curiosity and a penchant for uncovering the unexpected, we set out on this peculiar path. Our journey led us through the annals of the US Social Security Administration's vast trove of name data, and into the labyrinth of stock market valuations, where we stumbled upon an astonishing discovery.
The unveiling of a correlation coefficient of 0.9850917 and a statistical significance of p < 0.01 left us both astounded and tickled pink. But before you raise an incredulous eyebrow, let us assure you that this endeavor was no walk in the park. We wielded the tools of statistical analysis with precision, leaving no stone unturned in our quest to shed light on this whimsical phenomenon.
As we dive into the heart of our findings, prepare yourself for a lively jaunt through the curious terrain where the worlds of names and stock prices intersect. Buckle up, dear reader, as we navigate through the landscape of data and statistics to unravel the 'LOW'down on the impact of the name "Walker" on LOW stock. This venture promises not only a scholarly endeavor but also a hearty serving of puns, surprises, and unexpected correlations that will leave you chuckling and scratching your head in equal measure. So, grab your statistical walking stick, and let's embark on this thoroughly enjoyable journey.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To embark on our merry romp through the quirks of nomenclature and stock prices, our research team donned our metaphorical detective hats and prepared to unravel the enigma that is the correlation between the prevalence of the first name "Walker" and the stock price of Lowe's Companies Inc. (LOW).

Data Collection:
We embarked on our grand data expedition by tapping into the troves of the US Social Security Administration's name databases, diligently sifting through decades of moniker records to uncover the prevalence of the name "Walker" from 2002 to 2022. Armed with our trusty magnifying glasses and an abundance of caffeinated beverages, we combed through the digital annals of nomenclature to extract the frequency and distribution of this beguiling name.

As we delved into the intricate world of stock market valuations, we turned to the esteemed LSEG Analytics (Refinitiv) for a bountiful harvest of stock price data for Lowe's Companies Inc. (LOW) over the same time period. Our intrepid journey through financial data led us to the revelation of LOW stock prices, offering a tantalizing glimpse into the capricious dance of market trends.

Statistical Analysis:
With our treasure trove of data in hand, we summoned the spirits of statistical analysis to tease out the enthralling relationship between the prevalence of the name "Walker" and LOW stock prices. Employing the trusty tools of correlation analysis, we sought to unravel the bond between these seemingly disparate entities. The alluring dance of correlation coefficients beckoned, and we embraced the challenge with glee, unleashing the forces of statistical rigor to discern the magnitude and direction of the relationship.

Furthermore, we adorned ourselves with the cloak of significance testing, wielding the powerful wand of p-values to discern whether the observed connection was merely a figment of statistical happenstance or a bona fide revelation. With bated breath and a sprinkle of statistical fairy dust, we cast our tests to unravel the mystery of whether the relationship between the name "Walker" and LOW stock prices transcended statistical serendipity to emerge as a robust and profound insight.

Implementation of Goofy Variables:
In a departure from the conventional, our research also explored the inclusion of a quirky "Name Popularity Quotient" to encapsulate the whimsicality of name prevalence and its potential impact on LOW stock prices. This delightful concoction of numerical wizardry sought to distill the essence of name popularity into a whimsical metric, offering a lighthearted twist to the otherwise austere realm of statistical analysis.

In summary, our methodology blended the whimsy of name prevalence data with the gravitas of stock price valuations to forge a unique path through the corridors of statistical inquiry. With a touch of mirth and a sprinkle of scientific rigor, we sauntered through the landscape of data collection and statistical analysis to unravel the captivating saga of the name "Walker" and its dance with LOW stock prices.


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 Popularity of the first name Walker and Lowe's Companies' stock price (LOW). Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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

For the time period 2002 to 2022, you found a correlation 0.9850917, r-squared of 0.9704057, 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]]
"Lowe and behold: The 'LOW'down on the Impact of the Name 'Walker' on Stock Prices"

[[ABSTRACT]]
This research delves into the curious relationship between the prevalence of the first name "Walker" and the stock price of Lowe's Companies Inc. (LOW) over the past two decades. Leveraging data from the US Social Security Administration and LSEG Analytics (Refinitiv), our study unveiled a remarkably strong correlation coefficient of 0.9850917 and a statistical significance of p < 0.01. While the findings may initially seem like a walk in the park, they shed light on the uncanny influence of certain names on financial market trends. Join us as we take a whimsical stroll through the world of stock prices and nomenclature to uncover the surprising impact of the name "Walker" on LOW stock.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
Picture this: you're strolling through the labyrinth of stock market data, trying to make sense of the myriad factors influencing stock prices. Suddenly, amidst the sea of numbers and tickers, a peculiar pattern catches your eye. Could there truly be a correlation between the name "Walker" and the stock price of Lowe's Companies Inc. (LOW)? As outlandish as it may sound, our research delves into exactly that - the intriguing connection between nomenclature and financial markets.
In the realm of statistical analysis, it's not often that we get to embark on such a whimsical quest. However, armed with a hearty dose of curiosity and a penchant for uncovering the unexpected, we set out on this peculiar path. Our journey led us through the annals of the US Social Security Administration's vast trove of name data, and into the labyrinth of stock market valuations, where we stumbled upon an astonishing discovery.
The unveiling of a correlation coefficient of 0.9850917 and a statistical significance of p < 0.01 left us both astounded and tickled pink. But before you raise an incredulous eyebrow, let us assure you that this endeavor was no walk in the park. We wielded the tools of statistical analysis with precision, leaving no stone unturned in our quest to shed light on this whimsical phenomenon.
As we dive into the heart of our findings, prepare yourself for a lively jaunt through the curious terrain where the worlds of names and stock prices intersect. Buckle up, dear reader, as we navigate through the landscape of data and statistics to unravel the 'LOW'down on the impact of the name "Walker" on LOW stock. This venture promises not only a scholarly endeavor but also a hearty serving of puns, surprises, and unexpected correlations that will leave you chuckling and scratching your head in equal measure. So, grab your statistical walking stick, and let's embark on this thoroughly enjoyable journey.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The correlation analysis conducted on the prevalence of the first name "Walker" and the stock price of Lowe's Companies Inc. (LOW) from 2002 to 2022 yielded a staggering correlation coefficient of 0.9850917. This remarkable finding suggests a remarkably strong positive relationship between the popularity of the name "Walker" and LOW stock prices. To put it simply, it seems that the more "Walker"s there are, the higher Lowe's stock tends to go! The r-squared value of 0.9704057 further underscores the robustness of this relationship, indicating that approximately 97% of the variability in LOW stock prices can be explained by the prevalence of the name "Walker." It's as if the name itself wields an inexplicable power over the stock market, propelling LOW prices to new heights.

The statistical significance of p < 0.01 only adds to the mystique of this finding. Our results are as clear as day: the impact of the name "Walker" on LOW stock cannot simply be dismissed as a mere fluke. This relationship stands firm against the winds of statistical doubt, beckoning us to delve further into the quirky world of name influences on financial markets.

Fig. 1 showcases the visually compelling evidence of this correlation in a scatterplot, where the data points form a near-perfect straight line. It's as if the name "Walker" and LOW stock prices are engaged in a harmonious tango, moving in lockstep with each other. This whimsical dance of data points serves as a visual testament to the robust association between nomenclature and financial fortunes.

Indeed, our research journey has revealed a comical yet compelling aspect of the financial world – the remarkable influence of a simple name on stock prices. This surprising connection between the first name "Walker" and LOW stock prices invites further exploration and sparks a lively curiosity about the underlying reasons for this eyebrow-raising correlation. The intersection of statistical analysis and whimsical discoveries has, once again, left us marveling at the intriguing facets of the world of finance.


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 Popularity of the first name Walker and Lowe's Companies' stock price (LOW). Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Limit your response to 500 tokens.

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

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

[[TITLE]]
"Lowe and behold: The 'LOW'down on the Impact of the Name 'Walker' on Stock Prices"

[[ABSTRACT]]
This research delves into the curious relationship between the prevalence of the first name "Walker" and the stock price of Lowe's Companies Inc. (LOW) over the past two decades. Leveraging data from the US Social Security Administration and LSEG Analytics (Refinitiv), our study unveiled a remarkably strong correlation coefficient of 0.9850917 and a statistical significance of p < 0.01. While the findings may initially seem like a walk in the park, they shed light on the uncanny influence of certain names on financial market trends. Join us as we take a whimsical stroll through the world of stock prices and nomenclature to uncover the surprising impact of the name "Walker" on LOW stock.

[[LITERATURE REVIEW]]
The intersection of names and their potential impact on various aspects of life has been a subject of interest in diverse fields. Authors such as Smith (2015) and Doe (2017) have explored the psychological and sociological implications of personal nomenclature. Smith (2015) delves into the influence of names on individuals' perceptions of themselves and others, while Doe (2017) examines the impact of names on career success. In a parallel vein, Jones (2018) investigates the correlation between names and consumer behavior, shedding light on the curious ways in which names can influence purchasing decisions.
Moving on from the realm of serious academic research, let us take a lighthearted detour into some non-fiction books that explore the quirks of human nomenclature. In "Freakonomics" by Steven D. Levitt and Stephen J. Dubner, the authors delve into unconventional correlations in the world of economics, uncovering surprising connections that challenge conventional wisdom. While not directly related to the stock market or names, this work embodies the spirit of uncovering unexpected relationships – a theme central to our own research.
Shifting gears to the world of fiction, the novel "The Name of the Wind" by Patrick Rothfuss and "The Shadow of the Wind" by Carlos Ruiz Zafón present captivating tales where names hold profound significance in shaping the destinies of characters. While these books may not directly tackle the correlation between names and stock prices, they serve as a whimsical reminder of the power and symbolism associated with names in literature and folklore.
Taking a playful leap into the world of pop culture, the animated series "Johnny Bravo" and the children's show "Johnny Test" provide ample fodder for lighthearted exploration. These cartoons, while far removed from the realm of financial markets, playfully highlight the peculiarities of names and their associations in the realm of entertainment. While our exploration may not involve fictional characters and their adventures, we aim to infuse a similar sense of whimsy and amusement as we navigate the intriguing terrain of nomenclature and stock prices.
As we pivot back to our serious academic inquiry, let us segue into the heart of our study, where we unravel the captivating connection between the prevalence of the first name "Walker" and the stock price of Lowe's Companies Inc. (LOW). So, buckle up for this scholarly joyride as we unearth the unexpectedly entertaining 'LOW'down on the impact of the name "Walker" on LOW stock.

[[RESULTS]]
The correlation analysis conducted on the prevalence of the first name "Walker" and the stock price of Lowe's Companies Inc. (LOW) from 2002 to 2022 yielded a staggering correlation coefficient of 0.9850917. This remarkable finding suggests a remarkably strong positive relationship between the popularity of the name "Walker" and LOW stock prices. To put it simply, it seems that the more "Walker"s there are, the higher Lowe's stock tends to go! The r-squared value of 0.9704057 further underscores the robustness of this relationship, indicating that approximately 97% of the variability in LOW stock prices can be explained by the prevalence of the name "Walker." It's as if the name itself wields an inexplicable power over the stock market, propelling LOW prices to new heights.
The statistical significance of p < 0.01 only adds to the mystique of this finding. Our results are as clear as day: the impact of the name "Walker" on LOW stock cannot simply be dismissed as a mere fluke. This relationship stands firm against the winds of statistical doubt, beckoning us to delve further into the quirky world of name influences on financial markets.
Fig. 1 showcases the visually compelling evidence of this correlation in a scatterplot, where the data points form a near-perfect straight line. It's as if the name "Walker" and LOW stock prices are engaged in a harmonious tango, moving in lockstep with each other. This whimsical dance of data points serves as a visual testament to the robust association between nomenclature and financial fortunes.
Indeed, our research journey has revealed a comical yet compelling aspect of the financial world – the remarkable influence of a simple name on stock prices. This surprising connection between the first name "Walker" and LOW stock prices invites further exploration and sparks a lively curiosity about the underlying reasons for this eyebrow-raising correlation. The intersection of statistical analysis and whimsical discoveries has, once again, left us marveling at the intriguing facets of the world of finance.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

Our findings present a fascinating twist in the realm of financial market trends. The striking correlation between the prevalence of the name "Walker" and the stock price of Lowe's Companies Inc. (LOW) lends a whimsical flair to the typically serious domain of statistical analysis. It's as if the name "Walker" has embarked on a tongue-and-cheek marathon, playfully influencing LOW stock prices with a touch of mischievous charm.

Delving into a waltz of statistical significance, our results not only strutted out a robust correlation coefficient of 0.9850917 but also swayed to the rhythm of a p-value less than 0.01. This statistical tango between nomenclature and monetary matters dares us to embrace the playful unpredictability of the financial landscape.

Our study's support from prior research into the influence of names on various facets of life adds an intriguing layer of credibility to our findings. Like uncovering hidden treasures in a whimsical bed-time story, the results of our research party with previous findings, validating the influence of names on personal perceptions, career success, and even consumer behavior. It's as if our research tiptoed through the whimsical landscape of names and discovered that, for LOW stock prices, a name can indeed herald a "LOW'down" of unexpected influences.

The visually compelling evidence in our scatterplot, akin to a playful mural in a seasoned cartoonist's comic strip, further strengthens the captivating allure of this correlation. The data points dance a merry jig, forming a near-perfect straight line that would make even the most seasoned statistician crack a wry smile. It's almost as if the name "Walker" and LOW stock prices are entangled in an enchanted duet, harmonizing in a rhythm that defies mere coincidence.

In sum, our study serves as a whimsical reminder of the delightful anecdotes that statistical analyses can uncork when exploring unexpected correlations. The connection between the first name "Walker" and LOW stock prices unearths a lighthearted playfulness in the serious world of finance, leaving us marveling at the quirky caprices of statistical relationships. As we embark on further inquiries into name influences on the financial markets, it's clear that there's more to this "LOW'down" than meets the eye.


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 Popularity of the first name Walker and Lowe's Companies' stock price (LOW). Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
"Lowe and behold: The 'LOW'down on the Impact of the Name 'Walker' on Stock Prices"

[[ABSTRACT]]
This research delves into the curious relationship between the prevalence of the first name "Walker" and the stock price of Lowe's Companies Inc. (LOW) over the past two decades. Leveraging data from the US Social Security Administration and LSEG Analytics (Refinitiv), our study unveiled a remarkably strong correlation coefficient of 0.9850917 and a statistical significance of p < 0.01. While the findings may initially seem like a walk in the park, they shed light on the uncanny influence of certain names on financial market trends. Join us as we take a whimsical stroll through the world of stock prices and nomenclature to uncover the surprising impact of the name "Walker" on LOW stock.

[[INTRDUCTION]]
Picture this: you're strolling through the labyrinth of stock market data, trying to make sense of the myriad factors influencing stock prices. Suddenly, amidst the sea of numbers and tickers, a peculiar pattern catches your eye. Could there truly be a correlation between the name "Walker" and the stock price of Lowe's Companies Inc. (LOW)? As outlandish as it may sound, our research delves into exactly that - the intriguing connection between nomenclature and financial markets.
In the realm of statistical analysis, it's not often that we get to embark on such a whimsical quest. However, armed with a hearty dose of curiosity and a penchant for uncovering the unexpected, we set out on this peculiar path. Our journey led us through the annals of the US Social Security Administration's vast trove of name data, and into the labyrinth of stock market valuations, where we stumbled upon an astonishing discovery.
The unveiling of a correlation coefficient of 0.9850917 and a statistical significance of p < 0.01 left us both astounded and tickled pink. But before you raise an incredulous eyebrow, let us assure you that this endeavor was no walk in the park. We wielded the tools of statistical analysis with precision, leaving no stone unturned in our quest to shed light on this whimsical phenomenon.
As we dive into the heart of our findings, prepare yourself for a lively jaunt through the curious terrain where the worlds of names and stock prices intersect. Buckle up, dear reader, as we navigate through the landscape of data and statistics to unravel the 'LOW'down on the impact of the name "Walker" on LOW stock. This venture promises not only a scholarly endeavor but also a hearty serving of puns, surprises, and unexpected correlations that will leave you chuckling and scratching your head in equal measure. So, grab your statistical walking stick, and let's embark on this thoroughly enjoyable journey.

[[RESULTS]]
The correlation analysis conducted on the prevalence of the first name "Walker" and the stock price of Lowe's Companies Inc. (LOW) from 2002 to 2022 yielded a staggering correlation coefficient of 0.9850917. This remarkable finding suggests a remarkably strong positive relationship between the popularity of the name "Walker" and LOW stock prices. To put it simply, it seems that the more "Walker"s there are, the higher Lowe's stock tends to go! The r-squared value of 0.9704057 further underscores the robustness of this relationship, indicating that approximately 97% of the variability in LOW stock prices can be explained by the prevalence of the name "Walker." It's as if the name itself wields an inexplicable power over the stock market, propelling LOW prices to new heights.
The statistical significance of p < 0.01 only adds to the mystique of this finding. Our results are as clear as day: the impact of the name "Walker" on LOW stock cannot simply be dismissed as a mere fluke. This relationship stands firm against the winds of statistical doubt, beckoning us to delve further into the quirky world of name influences on financial markets.
Fig. 1 showcases the visually compelling evidence of this correlation in a scatterplot, where the data points form a near-perfect straight line. It's as if the name "Walker" and LOW stock prices are engaged in a harmonious tango, moving in lockstep with each other. This whimsical dance of data points serves as a visual testament to the robust association between nomenclature and financial fortunes.
Indeed, our research journey has revealed a comical yet compelling aspect of the financial world – the remarkable influence of a simple name on stock prices. This surprising connection between the first name "Walker" and LOW stock prices invites further exploration and sparks a lively curiosity about the underlying reasons for this eyebrow-raising correlation. The intersection of statistical analysis and whimsical discoveries has, once again, left us marveling at the intriguing facets of the world of finance.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In the charmingly peculiar world of finance, our journey through the uncanny relationship between the name "Walker" and LOW stock prices has left us both bemused and exhilarated. The striking correlation coefficient of 0.9850917 has not only elevated our spirits but also puts a skip in our statistical step. It's as if the name "Walker" has been quietly dictating the pulse of LOW stock prices all along, akin to a symphony conductor orchestrating a whimsical financial melody.

The r-squared value of 0.9704057 speaks volumes about the overwhelming influence of this name, akin to a statistical heavyweight throwing its weight around in the realm of market unpredictability. The visual delight of Fig. 1, where "Walker" and LOW stock prices engage in a seemingly choreographed dance, presents a spectacle that even the most serious of statisticians can't help but chuckle at.

While the implications of our findings may prompt a "Low blow" to conventional financial wisdom, we can't help but revel in the delightful unpredictability of this correlation. After all, who would have thought that the name "Walker," rather than the business acumen of corporate executives, holds the key to LOW stock price movements?

As we wrap up this exhilarating expedition into the nexus of names and stock prices, it's abundantly clear that the whimsical impact of "Walker" on LOW stock prices cannot be dismissed as a statistical fluke. It's time to put the lid on this enchanting Pandora's box of nomenclature and market trends, for no further research is needed in this delightfully quirky realm of financial whimsy.

In the world of finance, as in life, sometimes it's the unexpected and the whimsical that steer the course of events. And if "Walker" and LOW stock prices are any indication, perhaps statistical predictability has a whimsical streak after all. Cheers to the charmingly enigmatic facets of finance, where the name game evidently plays a role that defies conventional understanding!


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 Lowe and behold: The 'LOW'down on the Impact of the Name 'Walker' on Stock Prices. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Financial Punnery


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 Lowe and behold: The 'LOW'down on the Impact of the Name 'Walker' on Stock Prices. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Stock Market Surnaming Studies


Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled Lowe and behold: The 'LOW'down on the Impact of the Name 'Walker' on Stock Prices with an abstract of This research delves into the curious relationship between the prevalence of the first name "Walker" and the stock price of Lowe's Companies Inc. (LOW) over the past two decades. Leveraging data from the US Social Security Administration and LSEG Analytics (Refinitiv), our study unveiled a remarkably strong correlation coefficient of 0.9850917 and a statistical significance of p < 0.01. While the findings may initially seem like a walk in the park, they shed light on the uncanny influence of certain names on financial market trends. Join us as we take a whimsical stroll through the world of stock prices and nomenclature to uncover the surprising impact of the name "Walker" on LOW stock.

ChatGPT:

Walker, Lowe's Companies Inc., stock prices, name impact on stock prices, correlation coefficient, statistical significance, US Social Security Administration, LSEG Analytics, Refinitiv, name influence on financial markets, stock prices and nomenclature.

*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

Lowe's Companies' stock price (LOW)
Detailed data title: Opening price of Lowe's Companies (LOW) on the first trading day of the year
Source: LSEG Analytics (Refinitiv)
Additional Info: Via Microsoft Excel Stockhistory function

See what else correlates with Lowe's Companies' stock price (LOW)

Correlation r = 0.9850917 (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 = 0.9704057 (Coefficient of determination)
This means 97% of the change in the one variable (i.e., Lowe's Companies' stock price (LOW)) 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 5.5E-16. 0.0000000000000005485554245020
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 0.99 in 5.5E-14% of random cases. Said differently, if you correlated 1,822,969,850,143,837 random variables You don't actually need 1 quadrillion 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, 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.

[ 0.96, 0.99 ] 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.
200220032004200520062007200820092010201120122013201420152016201720182019202020212022
Popularity of the first name Walker (Babies born)628638740812708609559595656686715857106410281062111913681675190729834389
Lowe's Companies' stock price (LOW) (Stock price)23.0118.9527.9328.9933.3131.2122.7821.523.5125.2125.6636.1349.556974.6971.7193.0291.22120.05160.77259.2




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([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([23.01,18.95,27.93,28.99,33.31,31.21,22.78,21.5,23.51,25.21,25.66,36.13,49.55,69,74.69,71.71,93.02,91.22,120.05,160.77,259.2,])
array_1_name = "Popularity of the first name Walker"
array_2_name = "Lowe's Companies' stock price (LOW)"

# 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: 3715 · Black Variable ID: 2876 · Red Variable ID: 1607
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