Download png, svg
AI explanation
More babies were named Walker, creating a future generation of fast-moving, security-conscious individuals. As they grow up, they will naturally reinforce the demand for Fortinet's products and services, leading to an increase in stock price.Model: dalle-3
Prompt: Generate an image of a cybernetic art interpretation of a bustling nursery with futuristic elements. In the foreground, show proud parents watching as their babies take their first steps, with a subtle emphasis on the name "Walker". In the background, depict a futuristic factory setting where workers are assembling hi-tech baby gates at a rapid pace. Additionally, incorporate elements that symbolize the surge in demand, such as soaring stock market charts or futuristic indicators of popularity. Emphasize the juxtaposition of traditional parenting moments with the technological prowess that drives demand. 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 Fortinet's stock price (FTNT). 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: inspired by bauhaus Pop art Surrealism Cybernetic art Cyberpunk
ChatGPT: Cybernetic art
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 Fortinet's stock price (FTNT), in the following situation: Because Walker's popularity led to more babies taking their first steps, creating a surge in demand for baby gates, which Fortinet produces, boosting FTNT stock price.. Keep the description simple.
ChatGPT: In a bustling nursery, parents eagerly watch as their babies, many named Walker, take their first wobbly steps. In the background, a group of workers at Fortinet's factory hurriedly assembles baby gates to meet the sudden surge in demand. The stock price of Fortinet (FTNT) skyrockets on the news of the increased sales and popularity of the name Walker.
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: [ Cybernetic art ] and depicting this scene: In a bustling nursery, parents eagerly watch as their babies, many named Walker, take their first wobbly steps. In the background, a group of workers at Fortinet's factory hurriedly assembles baby gates to meet the sudden surge in demand. The stock price of Fortinet (FTNT) skyrockets on the news of the increased sales and popularity of the name Walker. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a cybernetic art interpretation of a bustling nursery with futuristic elements. In the foreground, show proud parents watching as their babies take their first steps, with a subtle emphasis on the name "Walker". In the background, depict a futuristic factory setting where workers are assembling hi-tech baby gates at a rapid pace. Additionally, incorporate elements that symbolize the surge in demand, such as soaring stock market charts or futuristic indicators of popularity. Emphasize the juxtaposition of traditional parenting moments with the technological prowess that drives demand.
*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.
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 Fortinet's stock price (FTNT) to increase.
AI academic paper
Walkin' the Stock: The Correlation Between the Popularity of the Name Walker and Fortinet's Fortunes The Journal of Nameology and Financial Fortunes Jan 2024 Reminder: This paper is AI-generated. Not real! |
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 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 Fortinet's stock price (FTNT). Make lots of jokes, goofy observations, and puns.
Make the title punny if you can come up with clever pun. If not, just make it sound clever.
Your research team used data from US Social Security Administration and LSEG Analytics (Refinitiv) to assess this nagging question. You found a correlation coefficient of 0.9741088 and p < 0.01 for 2010 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]]
"Walkin' the Stock: The Correlation Between the Popularity of the Name Walker and Fortinet's Fortunes"
[[ABSTRACT]]
This paper applies quantitative analysis to investigate the peculiar relationship between the popularity of the first name Walker and the stock price of Fortinet (FTNT). By mining data from the US Social Security Administration and LSEG Analytics (Refinitiv) for the period from 2010 to 2022, this research reveals a surprisingly strong correlation coefficient of 0.9741088 and p < 0.01. The findings suggest that there may be an underlying, if whimsical, association between the moniker "Walker" and the performance of Fortinet in the stock market. Additionally, this study challenges conventional wisdom by delving into the uncharted territory of nomenclature-based financial analysis, all in good fun.
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 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 Fortinet's stock price (FTNT). Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Here is the title and abstract of the paper:
[[TITLE]]
"Walkin' the Stock: The Correlation Between the Popularity of the Name Walker and Fortinet's Fortunes"
[[ABSTRACT]]
This paper applies quantitative analysis to investigate the peculiar relationship between the popularity of the first name Walker and the stock price of Fortinet (FTNT). By mining data from the US Social Security Administration and LSEG Analytics (Refinitiv) for the period from 2010 to 2022, this research reveals a surprisingly strong correlation coefficient of 0.9741088 and p < 0.01. The findings suggest that there may be an underlying, if whimsical, association between the moniker "Walker" and the performance of Fortinet in the stock market. Additionally, this study challenges conventional wisdom by delving into the uncharted territory of nomenclature-based financial analysis, all in good fun.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
The connection between individuals' names and their destinies has long been a topic of fascination, folklore, and fascination with folklore. From the sturdy "Rockefeller" to the buoyant "Golden," monikers have carried with them an assumed sway over one's path in life. However, dragging such whimsies into the sphere of financial analysis has traditionally been met with skeptical raised eyebrows and perhaps a stifled chuckle or two.
Amidst academic eye-rolling, this study ventures bravely into the uncharted territory of nomenclature-based financial analysis, focusing on a particular name of notoriety: Walker. The first name "Walker" suggests a profession of...well, walking, and perhaps an aversion to sitting down. Coincidentally, the stock market is notorious for its volatility and the need for traders to, figuratively, keep walking. This study sheds light on the curious relationship between the popularity of the name "Walker" and the stock price of Fortinet (FTNT).
While this investigation may invite skepticism, the desire to unravel the mysteries of the financial world sometimes leads researchers down unexpectedly amusing paths. Through quantitative analysis and meticulous sifting of data, this research endeavors to determine if there is a substantive correlation between the popularity of the name "Walker" and the stock performance of Fortinet. If nothing else, this study offers a lighthearted diversion from the serious business of finance. After all, who wouldn't want to delve into the delightful intersection of nomenclature and numerals? With that said, let us proceed to explore the peculiar correlation between "walkin'" and stock performance.
Let the whimsical wanderings of Walker and Fortinet commence!
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 Fortinet's stock price (FTNT). 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 devolve ever further, and mention something completely ridiculous, like you conducted literature review by reading CVS receipts.
Here is the title and abstract of the paper:
[[TITLE]]
"Walkin' the Stock: The Correlation Between the Popularity of the Name Walker and Fortinet's Fortunes"
[[ABSTRACT]]
This paper applies quantitative analysis to investigate the peculiar relationship between the popularity of the first name Walker and the stock price of Fortinet (FTNT). By mining data from the US Social Security Administration and LSEG Analytics (Refinitiv) for the period from 2010 to 2022, this research reveals a surprisingly strong correlation coefficient of 0.9741088 and p < 0.01. The findings suggest that there may be an underlying, if whimsical, association between the moniker "Walker" and the performance of Fortinet in the stock market. Additionally, this study challenges conventional wisdom by delving into the uncharted territory of nomenclature-based financial analysis, all in good fun.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The connection between individuals' names and their destinies has long been a topic of fascination, folklore, and fascination with folklore. From the sturdy "Rockefeller" to the buoyant "Golden," monikers have carried with them an assumed sway over one's path in life. However, dragging such whimsies into the sphere of financial analysis has traditionally been met with skeptical raised eyebrows and perhaps a stifled chuckle or two.
Amidst academic eye-rolling, this study ventures bravely into the uncharted territory of nomenclature-based financial analysis, focusing on a particular name of notoriety: Walker. The first name "Walker" suggests a profession of...well, walking, and perhaps an aversion to sitting down. Coincidentally, the stock market is notorious for its volatility and the need for traders to, figuratively, keep walking. This study sheds light on the curious relationship between the popularity of the name "Walker" and the stock price of Fortinet (FTNT).
While this investigation may invite skepticism, the desire to unravel the mysteries of the financial world sometimes leads researchers down unexpectedly amusing paths. Through quantitative analysis and meticulous sifting of data, this research endeavors to determine if there is a substantive correlation between the popularity of the name "Walker" and the stock performance of Fortinet. If nothing else, this study offers a lighthearted diversion from the serious business of finance. After all, who wouldn't want to delve into the delightful intersection of nomenclature and numerals? With that said, let us proceed to explore the peculiar correlation between "walkin'" and stock performance.
Let the whimsical wanderings of Walker and Fortinet commence!
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
Prior research has seldom ventured into the world of connecting names to financial destinies, with most scholarly works understandably focusing on more conventional economic indicators. Smith et al., in their seminal work "Monikers and Markets: An Exploration of Nomenclature's Impact on Financial Performance," laid the groundwork for this eyebrow-raising study by highlighting the dearth of research on the influence of given names on stock prices. Doe's comprehensive analysis in "Name Games: Exploring the Quirks of Nomenclature and Stock Market Surprises" further revealed the intriguing potential for naming conventions to act as tongue-in-cheek predictors of financial success.
In a slightly more tangential manner, Jones delved into the realm of cultural influences on economic thought in "Folklore Finance: Examining the Role of Superstitions, Myths, and Name-Based Anomalies in Market Dynamics." While not directly addressing the correlation between specific names and stock performance, this work provided valuable insights into the ways in which seemingly inconsequential factors can unexpectedly influence economic behavior.
Turning to non-fiction texts, "Freakonomics: A Rogue Economist Explores the Hidden Side of Everything," by Steven D. Levitt and Stephen J. Dubner, delves into the offbeat connections and surprising causations that underpin various phenomena. Similarly, "The Tipping Point: How Little Things Can Make a Big Difference," by Malcolm Gladwell, offers a compelling narrative on the often unnoticed influencers that can shape trends and outcomes.
In the realm of fiction, where suspension of disbelief reigns, J.K. Rowling's "Harry Potter and the Sorcerer's Stone" incorporates elements of fate and destiny, prompting readers to ponder the potential interplay between names and outcomes. Meanwhile, Dan Brown's "The Da Vinci Code" weaves a tale of hidden symbols and cryptic meanings, demonstrating the enduring allure of uncovering obscure connections.
However, the researchers also drew inspiration from unconventional sources. In a vastly unorthodox approach, the authors took to perusing the mundane, yet surprisingly informative, CVS receipts in search of any hints, however faint, of a connection between the popularity of the name Walker and Fortinet's stock price. While this method may raise a skeptical eyebrow or two, it proved to be an unexpectedly fruitful avenue for unearthing quirky correlations amidst the banal details of everyday purchases.
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 Fortinet's stock price (FTNT). Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Your research team collected data from all across the internet, but mostly just used information from US Social Security Administration and LSEG Analytics (Refinitiv) . You used data from 2010 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]]
"Walkin' the Stock: The Correlation Between the Popularity of the Name Walker and Fortinet's Fortunes"
[[ABSTRACT]]
This paper applies quantitative analysis to investigate the peculiar relationship between the popularity of the first name Walker and the stock price of Fortinet (FTNT). By mining data from the US Social Security Administration and LSEG Analytics (Refinitiv) for the period from 2010 to 2022, this research reveals a surprisingly strong correlation coefficient of 0.9741088 and p < 0.01. The findings suggest that there may be an underlying, if whimsical, association between the moniker "Walker" and the performance of Fortinet in the stock market. Additionally, this study challenges conventional wisdom by delving into the uncharted territory of nomenclature-based financial analysis, all in good fun.
[[INTRODUCTION]]
The connection between individuals' names and their destinies has long been a topic of fascination, folklore, and fascination with folklore. From the sturdy "Rockefeller" to the buoyant "Golden," monikers have carried with them an assumed sway over one's path in life. However, dragging such whimsies into the sphere of financial analysis has traditionally been met with skeptical raised eyebrows and perhaps a stifled chuckle or two.
Amidst academic eye-rolling, this study ventures bravely into the uncharted territory of nomenclature-based financial analysis, focusing on a particular name of notoriety: Walker. The first name "Walker" suggests a profession of...well, walking, and perhaps an aversion to sitting down. Coincidentally, the stock market is notorious for its volatility and the need for traders to, figuratively, keep walking. This study sheds light on the curious relationship between the popularity of the name "Walker" and the stock price of Fortinet (FTNT).
While this investigation may invite skepticism, the desire to unravel the mysteries of the financial world sometimes leads researchers down unexpectedly amusing paths. Through quantitative analysis and meticulous sifting of data, this research endeavors to determine if there is a substantive correlation between the popularity of the name "Walker" and the stock performance of Fortinet. If nothing else, this study offers a lighthearted diversion from the serious business of finance. After all, who wouldn't want to delve into the delightful intersection of nomenclature and numerals? With that said, let us proceed to explore the peculiar correlation between "walkin'" and stock performance.
Let the whimsical wanderings of Walker and Fortinet commence!
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To unravel the potential connection between the popularity of the name Walker and the stock price of Fortinet (FTNT), an eclectic assortment of data collection methods was employed. The primary source of data emanated from the US Social Security Administration, a repository of moniker-based statistics. Additionally, data on the stock price of Fortinet was carefully extracted from LSEG Analytics (Refinitiv), which provided a robust platform for gathering financial information. The time frame for data collection spanned from 2010 to 2022, encompassing a diverse range of economic climates and naming trends.
Initially, a thorough examination of the US Social Security Administration's database was conducted to identify the frequency of the name "Walker" over the specified time period. This involved delving into the minutiae of birth registrations and scrutinizing the ebb and flow of this particular appellation in the United States. The data gleaned from this source provided a comprehensive depiction of the trajectory of the name's popularity, allowing for a nuanced analysis of its temporal patterns.
Simultaneously, the financial performance of Fortinet was tracked with meticulous attention to detail. By utilizing the capabilities of LSEG Analytics (Refinitiv), the daily stock prices of Fortinet over the research period were systematically recorded and organized for subsequent analysis. The juxtaposition of these two disparate datasets served as the bedrock for evaluating the potential correlation between the frequency of the name "Walker" and the performance of Fortinet in the stock market.
Employing a nuanced and multi-pronged approach to data collection allowed for a comprehensive understanding of the interplay between nomenclature and financial fortunes. The integration of social and economic indicators enabled a robust assessment of the purported relationship between the whims of nomenclature and the vicissitudes of the stock market. The resulting dataset provided a fertile ground for quantitative analysis, inviting the exploration of correlations between the popularity of the name "Walker" and the stock price of Fortinet.
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 Fortinet's stock price (FTNT). Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Your research team collected data from all across the internet, but mostly just used information from US Social Security Administration and LSEG Analytics (Refinitiv) .
For the time period 2010 to 2022, you found a correlation 0.9741088, r-squared of 0.9488880, 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]]
"Walkin' the Stock: The Correlation Between the Popularity of the Name Walker and Fortinet's Fortunes"
[[ABSTRACT]]
This paper applies quantitative analysis to investigate the peculiar relationship between the popularity of the first name Walker and the stock price of Fortinet (FTNT). By mining data from the US Social Security Administration and LSEG Analytics (Refinitiv) for the period from 2010 to 2022, this research reveals a surprisingly strong correlation coefficient of 0.9741088 and p < 0.01. The findings suggest that there may be an underlying, if whimsical, association between the moniker "Walker" and the performance of Fortinet in the stock market. Additionally, this study challenges conventional wisdom by delving into the uncharted territory of nomenclature-based financial analysis, all in good fun.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
The connection between individuals' names and their destinies has long been a topic of fascination, folklore, and fascination with folklore. From the sturdy "Rockefeller" to the buoyant "Golden," monikers have carried with them an assumed sway over one's path in life. However, dragging such whimsies into the sphere of financial analysis has traditionally been met with skeptical raised eyebrows and perhaps a stifled chuckle or two.
Amidst academic eye-rolling, this study ventures bravely into the uncharted territory of nomenclature-based financial analysis, focusing on a particular name of notoriety: Walker. The first name "Walker" suggests a profession of...well, walking, and perhaps an aversion to sitting down. Coincidentally, the stock market is notorious for its volatility and the need for traders to, figuratively, keep walking. This study sheds light on the curious relationship between the popularity of the name "Walker" and the stock price of Fortinet (FTNT).
While this investigation may invite skepticism, the desire to unravel the mysteries of the financial world sometimes leads researchers down unexpectedly amusing paths. Through quantitative analysis and meticulous sifting of data, this research endeavors to determine if there is a substantive correlation between the popularity of the name "Walker" and the stock performance of Fortinet. If nothing else, this study offers a lighthearted diversion from the serious business of finance. After all, who wouldn't want to delve into the delightful intersection of nomenclature and numerals? With that said, let us proceed to explore the peculiar correlation between "walkin'" and stock performance.
Let the whimsical wanderings of Walker and Fortinet commence!
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The results of the quantitative analysis revealed a remarkably high correlation coefficient of 0.9741088 between the popularity of the first name "Walker" and the stock price of Fortinet (FTNT) over the period from 2010 to 2022. The coefficient of determination, represented by an r-squared value of 0.9488880, emphasizes the robustness of this correlation. The p-value of less than 0.01 further supports the statistical significance of the relationship, indicating that the likelihood of observing such a strong correlation by random chance is highly improbable.
Figure 1 displays a scatterplot that visually depicts the strong correlation observed between the two variables. At first glance, one might mistake it for a hiking trail map, with the stock price of Fortinet (FTNT) steadily ascending alongside the popularity of the name "Walker."
Nomenclature-based financial analysis raises eyebrows and draws more than a few raised chuckles. Still, the whimsical wanderings of Walker and Fortinet have brought forth not only statistical significance but also a lighthearted diversion from the seriousness of finance. While further research is warranted, these findings invite a playful reconsideration of the names we bear and the financial footprints we leave. After all, when it comes to the correlation between "walkin'" and stock performance, the numbers don't lie, but they might just tell an amusing tale.
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 Fortinet's stock price (FTNT). Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Limit your response to 500 tokens.
Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.
Do not write a conclusion. I will add a conclusion after this.
[[TITLE]]
"Walkin' the Stock: The Correlation Between the Popularity of the Name Walker and Fortinet's Fortunes"
[[ABSTRACT]]
This paper applies quantitative analysis to investigate the peculiar relationship between the popularity of the first name Walker and the stock price of Fortinet (FTNT). By mining data from the US Social Security Administration and LSEG Analytics (Refinitiv) for the period from 2010 to 2022, this research reveals a surprisingly strong correlation coefficient of 0.9741088 and p < 0.01. The findings suggest that there may be an underlying, if whimsical, association between the moniker "Walker" and the performance of Fortinet in the stock market. Additionally, this study challenges conventional wisdom by delving into the uncharted territory of nomenclature-based financial analysis, all in good fun.
[[LITERATURE REVIEW]]
Prior research has seldom ventured into the world of connecting names to financial destinies, with most scholarly works understandably focusing on more conventional economic indicators. Smith et al., in their seminal work "Monikers and Markets: An Exploration of Nomenclature's Impact on Financial Performance," laid the groundwork for this eyebrow-raising study by highlighting the dearth of research on the influence of given names on stock prices. Doe's comprehensive analysis in "Name Games: Exploring the Quirks of Nomenclature and Stock Market Surprises" further revealed the intriguing potential for naming conventions to act as tongue-in-cheek predictors of financial success.
In a slightly more tangential manner, Jones delved into the realm of cultural influences on economic thought in "Folklore Finance: Examining the Role of Superstitions, Myths, and Name-Based Anomalies in Market Dynamics." While not directly addressing the correlation between specific names and stock performance, this work provided valuable insights into the ways in which seemingly inconsequential factors can unexpectedly influence economic behavior.
Turning to non-fiction texts, "Freakonomics: A Rogue Economist Explores the Hidden Side of Everything," by Steven D. Levitt and Stephen J. Dubner, delves into the offbeat connections and surprising causations that underpin various phenomena. Similarly, "The Tipping Point: How Little Things Can Make a Big Difference," by Malcolm Gladwell, offers a compelling narrative on the often unnoticed influencers that can shape trends and outcomes.
In the realm of fiction, where suspension of disbelief reigns, J.K. Rowling's "Harry Potter and the Sorcerer's Stone" incorporates elements of fate and destiny, prompting readers to ponder the potential interplay between names and outcomes. Meanwhile, Dan Brown's "The Da Vinci Code" weaves a tale of hidden symbols and cryptic meanings, demonstrating the enduring allure of uncovering obscure connections.
However, the researchers also drew inspiration from unconventional sources. In a vastly unorthodox approach, the authors took to perusing the mundane, yet surprisingly informative, CVS receipts in search of any hints, however faint, of a connection between the popularity of the name Walker and Fortinet's stock price. While this method may raise a skeptical eyebrow or two, it proved to be an unexpectedly fruitful avenue for unearthing quirky correlations amidst the banal details of everyday purchases.
[[RESULTS]]
The results of the quantitative analysis revealed a remarkably high correlation coefficient of 0.9741088 between the popularity of the first name "Walker" and the stock price of Fortinet (FTNT) over the period from 2010 to 2022. The coefficient of determination, represented by an r-squared value of 0.9488880, emphasizes the robustness of this correlation. The p-value of less than 0.01 further supports the statistical significance of the relationship, indicating that the likelihood of observing such a strong correlation by random chance is highly improbable.
Figure 1 displays a scatterplot that visually depicts the strong correlation observed between the two variables. At first glance, one might mistake it for a hiking trail map, with the stock price of Fortinet (FTNT) steadily ascending alongside the popularity of the name "Walker."
Nomenclature-based financial analysis raises eyebrows and draws more than a few raised chuckles. Still, the whimsical wanderings of Walker and Fortinet have brought forth not only statistical significance but also a lighthearted diversion from the seriousness of finance. While further research is warranted, these findings invite a playful reconsideration of the names we bear and the financial footprints we leave. After all, when it comes to the correlation between "walkin'" and stock performance, the numbers don't lie, but they might just tell an amusing tale.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The remarkable correlation coefficient of 0.9741088 between the popularity of the first name "Walker" and the stock price of Fortinet (FTNT) over the period from 2010 to 2022 underscores the potential impact of nomenclature on financial markets. This finding effectively supports the prior research conducted by Smith et al. and Doe, who both hinted at the intriguing connection between monikers and market performance. The unexpected strength of this relationship reaffirms the need for continued exploration into the often overlooked, yet potentially significant, influence of names in economic dynamics.
Although the notion of a name dictating stock market fortunes may initially elicit a wry smile, the statistical significance of the relationship, with a p-value of less than 0.01, demands a more nuanced consideration. It is in these moments of amusement and whimsy that unconventional correlations can surprise even the most astute observer. The robustness of the coefficient of determination, as represented by an r-squared value of 0.9488880, underscores the consistency of the observed link. This aligns with the spirit of inquiry in prior literature, which sought to unveil the unexpected quirks that underpin market behaviors.
The scatterplot, visually illustrating the strong correlation between the popularity of the name "Walker" and the stock price of Fortinet, serves as a lighthearted depiction of the relationship. While financial analyses are typically portrayed as grave and serious, the whimsy associated with this connection offers a refreshing break from convention. The scatterplot's resemblance to a hiking trail map underscores the playful nature of this investigation, reminding us that even in the world of high finance, there is room for unexpected humor.
In considering the relationship between the popularity of the name "Walker" and Fortinet's stock price, it is evident that this study adds a distinctive touch of levity to the realm of economic research. Yet, the undeniable statistical significance of the findings necessitates a more earnest reflection upon the potential implications of nomenclature-based financial indications. The amalgamation of wit and empirical evidence in this exploration invites a reconsideration of the oft-overlooked, while infusing a dose of mirth into the traditionally sober world of financial analysis. The bracingly entertaining nature of these insights serves as a playful catalyst for continued research in the offbeat intersections of nomenclature and market dynamics.
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 Fortinet's stock price (FTNT). Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.
Here are the title, abstract, introduction, and results sections.
[[TITLE]]
"Walkin' the Stock: The Correlation Between the Popularity of the Name Walker and Fortinet's Fortunes"
[[ABSTRACT]]
This paper applies quantitative analysis to investigate the peculiar relationship between the popularity of the first name Walker and the stock price of Fortinet (FTNT). By mining data from the US Social Security Administration and LSEG Analytics (Refinitiv) for the period from 2010 to 2022, this research reveals a surprisingly strong correlation coefficient of 0.9741088 and p < 0.01. The findings suggest that there may be an underlying, if whimsical, association between the moniker "Walker" and the performance of Fortinet in the stock market. Additionally, this study challenges conventional wisdom by delving into the uncharted territory of nomenclature-based financial analysis, all in good fun.
[[INTRDUCTION]]
The connection between individuals' names and their destinies has long been a topic of fascination, folklore, and fascination with folklore. From the sturdy "Rockefeller" to the buoyant "Golden," monikers have carried with them an assumed sway over one's path in life. However, dragging such whimsies into the sphere of financial analysis has traditionally been met with skeptical raised eyebrows and perhaps a stifled chuckle or two.
Amidst academic eye-rolling, this study ventures bravely into the uncharted territory of nomenclature-based financial analysis, focusing on a particular name of notoriety: Walker. The first name "Walker" suggests a profession of...well, walking, and perhaps an aversion to sitting down. Coincidentally, the stock market is notorious for its volatility and the need for traders to, figuratively, keep walking. This study sheds light on the curious relationship between the popularity of the name "Walker" and the stock price of Fortinet (FTNT).
While this investigation may invite skepticism, the desire to unravel the mysteries of the financial world sometimes leads researchers down unexpectedly amusing paths. Through quantitative analysis and meticulous sifting of data, this research endeavors to determine if there is a substantive correlation between the popularity of the name "Walker" and the stock performance of Fortinet. If nothing else, this study offers a lighthearted diversion from the serious business of finance. After all, who wouldn't want to delve into the delightful intersection of nomenclature and numerals? With that said, let us proceed to explore the peculiar correlation between "walkin'" and stock performance.
Let the whimsical wanderings of Walker and Fortinet commence!
[[RESULTS]]
The results of the quantitative analysis revealed a remarkably high correlation coefficient of 0.9741088 between the popularity of the first name "Walker" and the stock price of Fortinet (FTNT) over the period from 2010 to 2022. The coefficient of determination, represented by an r-squared value of 0.9488880, emphasizes the robustness of this correlation. The p-value of less than 0.01 further supports the statistical significance of the relationship, indicating that the likelihood of observing such a strong correlation by random chance is highly improbable.
Figure 1 displays a scatterplot that visually depicts the strong correlation observed between the two variables. At first glance, one might mistake it for a hiking trail map, with the stock price of Fortinet (FTNT) steadily ascending alongside the popularity of the name "Walker."
Nomenclature-based financial analysis raises eyebrows and draws more than a few raised chuckles. Still, the whimsical wanderings of Walker and Fortinet have brought forth not only statistical significance but also a lighthearted diversion from the seriousness of finance. While further research is warranted, these findings invite a playful reconsideration of the names we bear and the financial footprints we leave. After all, when it comes to the correlation between "walkin'" and stock performance, the numbers don't lie, but they might just tell an amusing tale.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, the results of this study demonstrate a strikingly robust correlation between the popularity of the first name "Walker" and the stock price of Fortinet (FTNT). The correlation coefficient of 0.9741088 suggests a connection that is anything but pedestrian, providing compelling evidence that there may be more to a name than meets the eye - or the ticker tape.
While the findings may elicit a few wry smiles and perhaps a raised eyebrow or two, they underscore the entertaining potential of nomenclature-based financial analysis. The scatterplot, resembling a hiking trail map, visually encapsulates the upward ascent of Fortinet's stock price alongside the popularity of the name "Walker", offering a whimsical representation of this unexpected correlation.
With statistical significance firmly in hand, this study invites not only a lighthearted reconsideration of the role of names in finance but also a not-so-serious contemplation of the whimsical wanderings of nomenclature and numerals. After all, in the world of finance, where every basis point matters, uncovering an offbeat correlation such as this can truly be considered a "feat-ure."
In light of these findings, it is evident that the connection between walkin' and stock performance is not just a fluke, but a noteworthy phenomenon worthy of further amusement and bemusement. However, it is perhaps best to rest on our laurels, as no further research is needed in this peculiarly delightful area of inquiry. After all, finding a correlation as quirky as this one is no small feat - or should we say, "W feat"?
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 Walkin' the Stock: The Correlation Between the Popularity of the Name Walker and Fortinet's Fortunes. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Nameology and Financial Fortunes
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 Walkin' the Stock: The Correlation Between the Popularity of the Name Walker and Fortinet's Fortunes. Respond only with the name of a fictional organization.
ChatGPT:
The Society for Anthropological Research and Linguistic Analysis (SARLA)
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 Walkin' the Stock: The Correlation Between the Popularity of the Name Walker and Fortinet's Fortunes with an abstract of This paper applies quantitative analysis to investigate the peculiar relationship between the popularity of the first name Walker and the stock price of Fortinet (FTNT). By mining data from the US Social Security Administration and LSEG Analytics (Refinitiv) for the period from 2010 to 2022, this research reveals a surprisingly strong correlation coefficient of 0.9741088 and p < 0.01. The findings suggest that there may be an underlying, if whimsical, association between the moniker "Walker" and the performance of Fortinet in the stock market. Additionally, this study challenges conventional wisdom by delving into the uncharted territory of nomenclature-based financial analysis, all in good fun.
ChatGPT:
Walker, Fortinet, stock price, correlation, popularity, name, quantitative analysis, US Social Security Administration, LSEG Analytics, Refinitiv, nomenclature-based financial analysis
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
Discover a new correlation
View all correlations
View all research papers
Report an error
Data details
Popularity of the first name WalkerDetailed 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
Fortinet's stock price (FTNT)
Detailed data title: Opening price of Fortinet (FTNT) on the first trading day of the year
Source: LSEG Analytics (Refinitiv)
Additional Info: Via Microsoft Excel Stockhistory function
See what else correlates with Fortinet's stock price (FTNT)
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 = 0.9488880 (Coefficient of determination)
This means 94.9% of the change in the one variable (i.e., Fortinet's stock price (FTNT)) is predictable based on the change in the other (i.e., Popularity of the first name Walker) over the 13 years from 2010 through 2022.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.9E-8. 0.0000000189613790633621600000
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 0.97 in 1.9E-6% of random cases. Said differently, if you correlated 52,738,780 random variables You don't actually need 52 million variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.
p-value calculations are useful for understanding the probability of a result happening by chance. They are most useful when used to highlight the risk of a fluke outcome. For example, if you calculate a p-value of 0.30, the risk that the result is a fluke is high. It is good to know that! But there are lots of ways to get a p-value of less than 0.01, as evidenced by this project.
In this particular case, the values are so extreme as to be meaningless. That's why no one reports p-values with specificity after they drop below 0.01.
Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 12 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 12 because we have two variables measured over a period of 13 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.
[ 0.91, 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.
2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | |
Popularity of the first name Walker (Babies born) | 656 | 686 | 715 | 857 | 1064 | 1028 | 1062 | 1119 | 1368 | 1675 | 1907 | 2983 | 4389 |
Fortinet's stock price (FTNT) (Stock price) | 1.79 | 3.27 | 4.44 | 4.26 | 3.83 | 6.18 | 6.11 | 6.11 | 8.75 | 13.72 | 21.52 | 29.91 | 72.42 |
Why this works
- Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
- Lack of causal connection: There is probably
Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied. - Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple
Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is.
Try it yourself
You can calculate the values on this page on your own! Try running the Python code to see the calculation results. Step 1: Download and install Python on your computer.Step 2: Open a plaintext editor like Notepad and paste the code below into it.
Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"
Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.
Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.
Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.
Step 7: Run the Python script by typing "python calculate_correlation.py"
If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:
"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."
# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats
# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):
# Calculate Pearson correlation coefficient and p-value
correlation, p_value = stats.pearsonr(array1, array2)
# Calculate R-squared as the square of the correlation coefficient
r_squared = correlation**2
return correlation, r_squared, p_value
# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([656,686,715,857,1064,1028,1062,1119,1368,1675,1907,2983,4389,])
array_2 = np.array([1.79,3.27,4.44,4.26,3.83,6.18,6.11,6.11,8.75,13.72,21.52,29.91,72.42,])
array_1_name = "Popularity of the first name Walker"
array_2_name = "Fortinet's stock price (FTNT)"
# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)
# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)
Reuseable content
You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.
For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."
When spoken, my last name is pronounced "vegan," like I don't eat meat.
Full license details.
For more on re-use permissions, or to get a signed release form, see tylervigen.com/permission.
Download images for these variables:
- High resolution line chart
The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.
If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.
Alternatively you can use a tool like Inkscape. - High resolution line chart, optimized for mobile
- Alternative high resolution line chart
- Scatterplot
- Portable line chart (png)
- Portable line chart (png), optimized for mobile
- Line chart for only Popularity of the first name Walker
- Line chart for only Fortinet's stock price (FTNT)
- AI-generated correlation image
- The spurious research paper: Walkin' the Stock: The Correlation Between the Popularity of the Name Walker and Fortinet's Fortunes
Your rating skills are top-notch!
Correlation ID: 3837 · Black Variable ID: 2876 · Red Variable ID: 1734