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Spurious correlation #4,009 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Bachelor's degrees awarded in Military technologies and the second variable is T-Mobile Us' stock price (TMUS).  The chart goes from 2012 to 2021, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

As more military technology experts graduate, they inadvertently invent a new way to boost T-Mobile's cell signal using top-secret, classified methods. This leads to superior network coverage and unprecedented customer satisfaction, causing a surge in T-Mobile subscribers and ultimately driving up the stock price.

Model: dalle-3
Prompt: Generate an image of a minimalist graduation scene at a military academy. In the foreground, proud graduates are standing in their caps and gowns, holding up their Bachelor's degrees in Military Technologies and Applied Sciences. The focus is on the graduates with clean lines and simple shapes to convey their achievement. In the background, a large screen displays the T-Mobile US stock price chart showing a sharp upward trend, symbolizing the success of their military-grade "unbreakable" phone cases. The scene should be visually striking, with a sense of accomplishment and technological advancement. 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: Bachelor's degrees awarded in Military technologies and applied sciences and T-Mobile Us' stock price (TMUS). Given these, which of the following image style descriptions seems most appropriate? Pick the one that seems to be related to one of the variables at hand. Please respond with only one of the following potential descriptions: Psychedelic 3D Pixar Style Surrealism Minimalism Photorealism
ChatGPT: Minimalism

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 Bachelor's degrees awarded in Military technologies and applied sciences and T-Mobile Us' stock price (TMUS), in the following situation: Because graduates designed military-grade "unbreakable" phone cases, T-Mobile's customer satisfaction skyrocketed, leading to a surge in stock price.. Keep the description simple.
ChatGPT: Amidst a graduation ceremony at a military academy, proud graduates in their caps and gowns hold up their Bachelor's degrees in Military technologies and applied sciences. In the background, the T-Mobile Us' stock price chart on a large screen shows a sharp upward trend, indicating the surge in stock price due to the overwhelming success of their military-grade "unbreakable" phone cases.

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: [ Minimalism ] and depicting this scene: Amidst a graduation ceremony at a military academy, proud graduates in their caps and gowns hold up their Bachelor's degrees in Military technologies and applied sciences. In the background, the T-Mobile Us' stock price chart on a large screen shows a sharp upward trend, indicating the surge in stock price due to the overwhelming success of their military-grade "unbreakable" phone cases. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a minimalist graduation scene at a military academy. In the foreground, proud graduates are standing in their caps and gowns, holding up their Bachelor's degrees in Military Technologies and Applied Sciences. The focus is on the graduates with clean lines and simple shapes to convey their achievement. In the background, a large screen displays the T-Mobile US stock price chart showing a sharp upward trend, symbolizing the success of their military-grade "unbreakable" phone cases. The scene should be visually striking, with a sense of accomplishment and technological advancement.

*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 Bachelor's degrees awarded in Military technologies and applied sciences caused T-Mobile Us' stock price (TMUS) to increase.

AI academic paper

(Because p < 0.01)
Bachelor's Knowledge of Warfare and T-Mobile Stock Price: A Rhyme in Time

Journal of Unconventional Cross-Disciplinary Studies

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 Bachelor's degrees awarded in Military technologies and T-Mobile Us' stock price (TMUS). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Rhyme words in the title.

Your research team used data from National Center for Education Statistics and LSEG Analytics (Refinitiv) to assess this nagging question. You found a correlation coefficient of 0.9686857 and p < 0.01 for 2012 to 2021.

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]]
Bachelor's Knowledge of Warfare and T-Mobile Stock Price: A Rhyme in Time

[[ABSTRACT]]
This research paper delves into the delightful world of bachelor's degrees in military technologies and its perplexing connection with the stock price of T-Mobile Us (TMUS). Utilizing data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we carefully scrutinize this seemingly unrelated pair. Surprisingly, our analysis reveals a correlation coefficient of 0.9686857 and a p-value less than 0.01 for the time period spanning 2012 to 2021. The findings and their implications will render stock traders intrigued and might even equip them with a new artillery of insights!


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 Bachelor's degrees awarded in Military technologies and T-Mobile Us' stock price (TMUS). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, 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]]
Bachelor's Knowledge of Warfare and T-Mobile Stock Price: A Rhyme in Time

[[ABSTRACT]]
This research paper delves into the delightful world of bachelor's degrees in military technologies and its perplexing connection with the stock price of T-Mobile Us (TMUS). Utilizing data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we carefully scrutinize this seemingly unrelated pair. Surprisingly, our analysis reveals a correlation coefficient of 0.9686857 and a p-value less than 0.01 for the time period spanning 2012 to 2021. The findings and their implications will render stock traders intrigued and might even equip them with a new artillery of insights!

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

In the ever-intriguing world of academia, there is a fascination with uncovering curious and, sometimes, seemingly inexplicable connections between disparate phenomena. The present study epitomizes this fervor, as we delve into the enigmatic relationship between the number of Bachelor's degrees awarded in military technologies and the stock price of T-Mobile Us (TMUS). While one might initially presume that these entities have little in common beyond their presence in the modern landscape, our investigation has unveiled a correlation that demands attention and defies conventional wisdom.

The pursuit of knowledge, in whatever form it may present itself, often leads to unexpected encounters and improbable revelations. In the case of Bachelor's degrees in military technologies and T-Mobile's stock price, the intersection of education and finance yields a compelling narrative that, we argue, merits exploration. Armed with a dataset sourced from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we embark on a journey to unravel the mysterious dance between intellectual pursuits in warfare studies and the ebb and flow of a prominent telecommunications company's stock valuation.

The teasing allure of uncovering unanticipated associations between disparate variables is not lost on the scholarly community. As we march forth into this inquiry, it is imperative to approach the analysis with a blend of diligence and discernment, cognizant of the potential precedents and implications that such findings might hold. While our focus is resolutely centered on quantifying the purported link between military technology education and stock price performance, the implications of our investigation may resonate far beyond the confines of these two ostensibly unrelated realms.

We invite the reader to join us in this odyssey of discovery, one that promises to unearth unexpected correlations and, dare we say, stockpile a few surprises along the way. In the subsequent sections, we meticulously chronicle the methodology employed, the empirical findings that have emerged from our analysis, and the deeper insights that this connection may proffer to both the realms of academia and finance. Shall we proceed, then, with unwavering curiosity and a readiness to confront the unexpected? Indeed, let the adventure begin!


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 Bachelor's degrees awarded in Military technologies and T-Mobile Us' stock price (TMUS). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name some movies that you watched that are tangentially related to the topic.

Here is the title and abstract of the paper:
[[TITLE]]
Bachelor's Knowledge of Warfare and T-Mobile Stock Price: A Rhyme in Time

[[ABSTRACT]]
This research paper delves into the delightful world of bachelor's degrees in military technologies and its perplexing connection with the stock price of T-Mobile Us (TMUS). Utilizing data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we carefully scrutinize this seemingly unrelated pair. Surprisingly, our analysis reveals a correlation coefficient of 0.9686857 and a p-value less than 0.01 for the time period spanning 2012 to 2021. The findings and their implications will render stock traders intrigued and might even equip them with a new artillery of insights!

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
In the ever-intriguing world of academia, there is a fascination with uncovering curious and, sometimes, seemingly inexplicable connections between disparate phenomena. The present study epitomizes this fervor, as we delve into the enigmatic relationship between the number of Bachelor's degrees awarded in military technologies and the stock price of T-Mobile Us (TMUS). While one might initially presume that these entities have little in common beyond their presence in the modern landscape, our investigation has unveiled a correlation that demands attention and defies conventional wisdom.
The pursuit of knowledge, in whatever form it may present itself, often leads to unexpected encounters and improbable revelations. In the case of Bachelor's degrees in military technologies and T-Mobile's stock price, the intersection of education and finance yields a compelling narrative that, we argue, merits exploration. Armed with a dataset sourced from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we embark on a journey to unravel the mysterious dance between intellectual pursuits in warfare studies and the ebb and flow of a prominent telecommunications company's stock valuation.
The teasing allure of uncovering unanticipated associations between disparate variables is not lost on the scholarly community. As we march forth into this inquiry, it is imperative to approach the analysis with a blend of diligence and discernment, cognizant of the potential precedents and implications that such findings might hold. While our focus is resolutely centered on quantifying the purported link between military technology education and stock price performance, the implications of our investigation may resonate far beyond the confines of these two ostensibly unrelated realms.
We invite the reader to join us in this odyssey of discovery, one that promises to unearth unexpected correlations and, dare we say, stockpile a few surprises along the way. In the subsequent sections, we meticulously chronicle the methodology employed, the empirical findings that have emerged from our analysis, and the deeper insights that this connection may proffer to both the realms of academia and finance. Shall we proceed, then, with unwavering curiosity and a readiness to confront the unexpected? Indeed, let the adventure begin!

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

To contextualize the curious confluence of Bachelor's degrees in military technologies and the stock price of T-Mobile Us (TMUS), the authors delve into a spectrum of scholarly articles and studies that have explored the interplay between education and financial markets. Smith et al. (2015) examine the relationship between educational attainment and stock price dynamics, albeit in a more conventional context, while Doe (2017) undertakes a comprehensive analysis of technological education and its impact on investment behavior. Furthermore, Jones (2019) evaluates the influence of corporate acquisitions on stock performance in a manner that tangentially relates to our investigation, providing a foundational understanding of market trends and their underlying drivers.

Beyond the purview of academic research, a broader exploration of literature offers both enlightening and whimsical perspectives on warfare studies and telecommunications, albeit not necessarily in direct correlation to our current inquiry. For instance, "The Art of War" by Sun Tzu, "Ghost Fleet" by P.W. Singer and August Cole, and "Guns, Germs, and Steel" by Jared Diamond present insightful narratives that, while diverging from our specific focus, offer an engaging backdrop for the intersection of military knowledge and modern technology. On a lighter note, fictional works such as "Starship Troopers" by Robert A. Heinlein, "Snow Crash" by Neal Stephenson, and "Ender's Game" by Orson Scott Card, however unrelated to empirical finance, infuse an imaginative vigor into the thematic realm of warfare and innovation.

Furthermore, a cinematic exploration of themes related to military acumen and technology integration yields a plethora of tangentially related narratives. Films such as "Iron Man," "WarGames," and "The Imitation Game" provide an entertaining yet tangential glimpse into the technological and strategic machinations that underpin warfare and innovation. While not directly aligned with financial markets, these cultural touchpoints impart an atmospheric understanding of the broader contextual mélange that the study aims to appreciate.

As the authors continue to unfurl the tapestry of the interdisciplinary terrain encompassing military education and stock performance, it becomes evident that the quest for knowledge offers not only empirical sophistication but also an opportunity to appreciate the delightful interplay of literature, imagination, and cinema within the academic expedition. The subsequent sections shall endeavor to stitch together these diverse influences, crafting a narrative that mirrors the unexpected twists and quirks that underpin our investigation.


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 Bachelor's degrees awarded in Military technologies and T-Mobile Us' stock price (TMUS). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, 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 National Center for Education Statistics and LSEG Analytics (Refinitiv) . You used data from 2012 to 2021

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]]
Bachelor's Knowledge of Warfare and T-Mobile Stock Price: A Rhyme in Time

[[ABSTRACT]]
This research paper delves into the delightful world of bachelor's degrees in military technologies and its perplexing connection with the stock price of T-Mobile Us (TMUS). Utilizing data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we carefully scrutinize this seemingly unrelated pair. Surprisingly, our analysis reveals a correlation coefficient of 0.9686857 and a p-value less than 0.01 for the time period spanning 2012 to 2021. The findings and their implications will render stock traders intrigued and might even equip them with a new artillery of insights!

[[INTRODUCTION]]
In the ever-intriguing world of academia, there is a fascination with uncovering curious and, sometimes, seemingly inexplicable connections between disparate phenomena. The present study epitomizes this fervor, as we delve into the enigmatic relationship between the number of Bachelor's degrees awarded in military technologies and the stock price of T-Mobile Us (TMUS). While one might initially presume that these entities have little in common beyond their presence in the modern landscape, our investigation has unveiled a correlation that demands attention and defies conventional wisdom.
The pursuit of knowledge, in whatever form it may present itself, often leads to unexpected encounters and improbable revelations. In the case of Bachelor's degrees in military technologies and T-Mobile's stock price, the intersection of education and finance yields a compelling narrative that, we argue, merits exploration. Armed with a dataset sourced from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we embark on a journey to unravel the mysterious dance between intellectual pursuits in warfare studies and the ebb and flow of a prominent telecommunications company's stock valuation.
The teasing allure of uncovering unanticipated associations between disparate variables is not lost on the scholarly community. As we march forth into this inquiry, it is imperative to approach the analysis with a blend of diligence and discernment, cognizant of the potential precedents and implications that such findings might hold. While our focus is resolutely centered on quantifying the purported link between military technology education and stock price performance, the implications of our investigation may resonate far beyond the confines of these two ostensibly unrelated realms.
We invite the reader to join us in this odyssey of discovery, one that promises to unearth unexpected correlations and, dare we say, stockpile a few surprises along the way. In the subsequent sections, we meticulously chronicle the methodology employed, the empirical findings that have emerged from our analysis, and the deeper insights that this connection may proffer to both the realms of academia and finance. Shall we proceed, then, with unwavering curiosity and a readiness to confront the unexpected? Indeed, let the adventure begin!

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To begin our exploration of the potentially confounding correlation between Bachelor's degrees in military technologies and the stock price of T-Mobile Us (TMUS), we first extracted data from the hallowed vaults of the National Center for Education Statistics and LSEG Analytics (Refinitiv). The period under consideration spans from 2012 to 2021, allowing for a robust examination of temporal trends and patterns.

By employing a meticulously designed conglomeration of web scraping and machine learning algorithms, we were able to distill a comprehensive dataset that encapsulated the number of Bachelor's degrees awarded in military technologies from various educational institutions. This compilation included institutions that may have awarded such degrees under different nomenclatures, ranging from "Strategic Defense Studies" to "Advanced Military Science" – a testament to the varied linguistic tapestry of academia.

In tandem, the stock price of T-Mobile Us (TMUS) was captured and dissected with equal fervor. The daily closing stock prices were meticulously cataloged, and each data point was subjected to an elaborate sequence of quality control measures to ensure accuracy and reliability. While these procedures may not have involved military-grade surveillance or telecommunications intercepts, they were nonetheless executed with the precision and tenacity of a well-deployed regiment.

Having assembled these disparate strands of information, we sought to weave a quantitative narrative that would convey the essence of any interrelationships. Employing a rigorous statistical approach, including time series analysis and correlation coefficient calculations, we aimed to distill the essence of any potential symbiosis between the seemingly remote domains of military education and stock market performance.

Our methodology encompassed the utilization of ARIMA models and Granger causality tests, invoking the latent powers of autoregressive characteristics and the elusive interplay of causation. Despite the temptation to pepper our models with strategic defense mechanisms, we maintained a steadfast commitment to statistical rigor and methodological transparency.

The resulting analysis, woven from the warp and weft of our data and methodologies, has yielded a correlation coefficient of 0.9686857 and a p-value less than 0.01, a result that even the most seasoned stock traders might find arresting. Surprising though it may be, the empirical findings provide a compelling narrative and perhaps even a tactical advantage to those navigating the tumultuous seas of the stock market.

In the following section, we proceed to illuminate the empirical findings arising from our intrepid expedition, aspiring to equip scholars and stock traders alike with a fresh arsenal of insights – no camouflage required.


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 Bachelor's degrees awarded in Military technologies and T-Mobile Us' stock price (TMUS). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, 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 National Center for Education Statistics and LSEG Analytics (Refinitiv) .

For the time period 2012 to 2021, you found a correlation 0.9686857, r-squared of 0.9383519, 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]]
Bachelor's Knowledge of Warfare and T-Mobile Stock Price: A Rhyme in Time

[[ABSTRACT]]
This research paper delves into the delightful world of bachelor's degrees in military technologies and its perplexing connection with the stock price of T-Mobile Us (TMUS). Utilizing data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we carefully scrutinize this seemingly unrelated pair. Surprisingly, our analysis reveals a correlation coefficient of 0.9686857 and a p-value less than 0.01 for the time period spanning 2012 to 2021. The findings and their implications will render stock traders intrigued and might even equip them with a new artillery of insights!

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
In the ever-intriguing world of academia, there is a fascination with uncovering curious and, sometimes, seemingly inexplicable connections between disparate phenomena. The present study epitomizes this fervor, as we delve into the enigmatic relationship between the number of Bachelor's degrees awarded in military technologies and the stock price of T-Mobile Us (TMUS). While one might initially presume that these entities have little in common beyond their presence in the modern landscape, our investigation has unveiled a correlation that demands attention and defies conventional wisdom.
The pursuit of knowledge, in whatever form it may present itself, often leads to unexpected encounters and improbable revelations. In the case of Bachelor's degrees in military technologies and T-Mobile's stock price, the intersection of education and finance yields a compelling narrative that, we argue, merits exploration. Armed with a dataset sourced from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we embark on a journey to unravel the mysterious dance between intellectual pursuits in warfare studies and the ebb and flow of a prominent telecommunications company's stock valuation.
The teasing allure of uncovering unanticipated associations between disparate variables is not lost on the scholarly community. As we march forth into this inquiry, it is imperative to approach the analysis with a blend of diligence and discernment, cognizant of the potential precedents and implications that such findings might hold. While our focus is resolutely centered on quantifying the purported link between military technology education and stock price performance, the implications of our investigation may resonate far beyond the confines of these two ostensibly unrelated realms.
We invite the reader to join us in this odyssey of discovery, one that promises to unearth unexpected correlations and, dare we say, stockpile a few surprises along the way. In the subsequent sections, we meticulously chronicle the methodology employed, the empirical findings that have emerged from our analysis, and the deeper insights that this connection may proffer to both the realms of academia and finance. Shall we proceed, then, with unwavering curiosity and a readiness to confront the unexpected? Indeed, let the adventure begin!

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The statistical analysis of the relationship between the number of Bachelor's degrees awarded in military technologies and the stock price of T-Mobile Us (TMUS) revealed a remarkably high correlation coefficient of 0.9686857. This eyebrow-raising correlation coefficient suggests a strong positive linear relationship between these seemingly unrelated variables. Additionally, the r-squared value of 0.9383519 indicates that approximately 93.8% of the variability in T-Mobile's stock price can be explained by changes in the number of Bachelor's degrees awarded in military technologies.

Our p-value, being less than 0.01, provides strong evidence against the null hypothesis of no correlation, supporting the idea that there is indeed a significant relationship between these two variables. In other words, the likelihood of observing such a strong correlation between these two disparate realms purely by chance is less than 1%. This finding piques our interest and beckons us to explore potential underlying mechanisms driving this unexpected relationship.

The presence of this robust statistical association between the number of Bachelor's degrees in military technologies and T-Mobile's stock price is further highlighted in Fig. 1, which depicts a scatterplot showcasing the unmistakable positive linear pattern between the two variables. The plot serves as a visual testament to the surprising connection we have uncovered, while also reminding us that statistical analysis can sometimes unmask the most fascinating and unanticipated relationships.

Overall, our investigation into this unlikely pairing of educational pursuits in military technologies and the ebb and flow of a telecommunications giant's stock price has yielded compelling evidence of a strong correlation, leaving us both intellectually satisfied and financially intrigued. The implications of this unanticipated relationship are anything but trivial, and they offer a playful reminder that in the labyrinth of data analysis, hidden gems of connection may often await those audacious and curious enough to seek them out.


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 Bachelor's degrees awarded in Military technologies and T-Mobile Us' stock price (TMUS). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, 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]]
Bachelor's Knowledge of Warfare and T-Mobile Stock Price: A Rhyme in Time

[[ABSTRACT]]
This research paper delves into the delightful world of bachelor's degrees in military technologies and its perplexing connection with the stock price of T-Mobile Us (TMUS). Utilizing data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we carefully scrutinize this seemingly unrelated pair. Surprisingly, our analysis reveals a correlation coefficient of 0.9686857 and a p-value less than 0.01 for the time period spanning 2012 to 2021. The findings and their implications will render stock traders intrigued and might even equip them with a new artillery of insights!

[[LITERATURE REVIEW]]
To contextualize the curious confluence of Bachelor's degrees in military technologies and the stock price of T-Mobile Us (TMUS), the authors delve into a spectrum of scholarly articles and studies that have explored the interplay between education and financial markets. Smith et al. (2015) examine the relationship between educational attainment and stock price dynamics, albeit in a more conventional context, while Doe (2017) undertakes a comprehensive analysis of technological education and its impact on investment behavior. Furthermore, Jones (2019) evaluates the influence of corporate acquisitions on stock performance in a manner that tangentially relates to our investigation, providing a foundational understanding of market trends and their underlying drivers.
Beyond the purview of academic research, a broader exploration of literature offers both enlightening and whimsical perspectives on warfare studies and telecommunications, albeit not necessarily in direct correlation to our current inquiry. For instance, "The Art of War" by Sun Tzu, "Ghost Fleet" by P.W. Singer and August Cole, and "Guns, Germs, and Steel" by Jared Diamond present insightful narratives that, while diverging from our specific focus, offer an engaging backdrop for the intersection of military knowledge and modern technology. On a lighter note, fictional works such as "Starship Troopers" by Robert A. Heinlein, "Snow Crash" by Neal Stephenson, and "Ender's Game" by Orson Scott Card, however unrelated to empirical finance, infuse an imaginative vigor into the thematic realm of warfare and innovation.
Furthermore, a cinematic exploration of themes related to military acumen and technology integration yields a plethora of tangentially related narratives. Films such as "Iron Man," "WarGames," and "The Imitation Game" provide an entertaining yet tangential glimpse into the technological and strategic machinations that underpin warfare and innovation. While not directly aligned with financial markets, these cultural touchpoints impart an atmospheric understanding of the broader contextual mélange that the study aims to appreciate.
As the authors continue to unfurl the tapestry of the interdisciplinary terrain encompassing military education and stock performance, it becomes evident that the quest for knowledge offers not only empirical sophistication but also an opportunity to appreciate the delightful interplay of literature, imagination, and cinema within the academic expedition. The subsequent sections shall endeavor to stitch together these diverse influences, crafting a narrative that mirrors the unexpected twists and quirks that underpin our investigation.

[[RESULTS]]
The statistical analysis of the relationship between the number of Bachelor's degrees awarded in military technologies and the stock price of T-Mobile Us (TMUS) revealed a remarkably high correlation coefficient of 0.9686857. This eyebrow-raising correlation coefficient suggests a strong positive linear relationship between these seemingly unrelated variables. Additionally, the r-squared value of 0.9383519 indicates that approximately 93.8% of the variability in T-Mobile's stock price can be explained by changes in the number of Bachelor's degrees awarded in military technologies.
Our p-value, being less than 0.01, provides strong evidence against the null hypothesis of no correlation, supporting the idea that there is indeed a significant relationship between these two variables. In other words, the likelihood of observing such a strong correlation between these two disparate realms purely by chance is less than 1%. This finding piques our interest and beckons us to explore potential underlying mechanisms driving this unexpected relationship.
The presence of this robust statistical association between the number of Bachelor's degrees in military technologies and T-Mobile's stock price is further highlighted in Fig. 1, which depicts a scatterplot showcasing the unmistakable positive linear pattern between the two variables. The plot serves as a visual testament to the surprising connection we have uncovered, while also reminding us that statistical analysis can sometimes unmask the most fascinating and unanticipated relationships.
Overall, our investigation into this unlikely pairing of educational pursuits in military technologies and the ebb and flow of a telecommunications giant's stock price has yielded compelling evidence of a strong correlation, leaving us both intellectually satisfied and financially intrigued. The implications of this unanticipated relationship are anything but trivial, and they offer a playful reminder that in the labyrinth of data analysis, hidden gems of connection may often await those audacious and curious enough to seek them out.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The results of our investigation undeniably provide empirical support for the unexpectedly strong correlation between the number of Bachelor's degrees awarded in military technologies and the stock price of T-Mobile Us (TMUS). Our findings align with prior research by Smith et al. (2015), who delved into the relationship between educational attainment and stock price dynamics. Similarly, while not directly related to our inquiry, the narratives of "Starship Troopers" and "Ender's Game" offer a whimsical backdrop that complements our study, albeit veering into the realms of imagination and make-believe.

Our analysis not only reaffirms the substantial correlation observed but also emphasizes the potential impact of educational pursuits in military technologies on the financial performance of T-Mobile Us. The r-squared value of 0.9383519 indicates that a staggering 93.8% of the variability in T-Mobile's stock price can be attributed to changes in the number of Bachelor's degrees awarded in military technologies. This finding, though surprising, adds a dash of intrigue to the oft-monotonous world of statistical analysis.

Moreover, our discussion of the tangential influences from "Iron Man" and "WarGames" highlights the multifaceted nature of our investigation, underscoring the serendipitous confluence of military acumen and innovation. Cinematic and literary influences, although seemingly unrelated to empirical finance, contribute to an atmospheric understanding of the interdisciplinary tapestry we have traversed, enriching the narrative with an unexpected twist of cultural context.

The implications of our research extend beyond the statistical realm, prompting a playful reminder that in the esoteric labyrinth of data analysis, unanticipated connections may often wait to be unraveled by the audacious and curious. The statistical and theoretical intricacies encountered in this study are certainly worthy of further investigation, offering more than a few surprising twists and quirks that elevate the intellectual and scholarly vigor of our endeavor.


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 Bachelor's degrees awarded in Military technologies and T-Mobile Us' stock price (TMUS). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, 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]]
Bachelor's Knowledge of Warfare and T-Mobile Stock Price: A Rhyme in Time

[[ABSTRACT]]
This research paper delves into the delightful world of bachelor's degrees in military technologies and its perplexing connection with the stock price of T-Mobile Us (TMUS). Utilizing data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we carefully scrutinize this seemingly unrelated pair. Surprisingly, our analysis reveals a correlation coefficient of 0.9686857 and a p-value less than 0.01 for the time period spanning 2012 to 2021. The findings and their implications will render stock traders intrigued and might even equip them with a new artillery of insights!

[[INTRDUCTION]]
In the ever-intriguing world of academia, there is a fascination with uncovering curious and, sometimes, seemingly inexplicable connections between disparate phenomena. The present study epitomizes this fervor, as we delve into the enigmatic relationship between the number of Bachelor's degrees awarded in military technologies and the stock price of T-Mobile Us (TMUS). While one might initially presume that these entities have little in common beyond their presence in the modern landscape, our investigation has unveiled a correlation that demands attention and defies conventional wisdom.
The pursuit of knowledge, in whatever form it may present itself, often leads to unexpected encounters and improbable revelations. In the case of Bachelor's degrees in military technologies and T-Mobile's stock price, the intersection of education and finance yields a compelling narrative that, we argue, merits exploration. Armed with a dataset sourced from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we embark on a journey to unravel the mysterious dance between intellectual pursuits in warfare studies and the ebb and flow of a prominent telecommunications company's stock valuation.
The teasing allure of uncovering unanticipated associations between disparate variables is not lost on the scholarly community. As we march forth into this inquiry, it is imperative to approach the analysis with a blend of diligence and discernment, cognizant of the potential precedents and implications that such findings might hold. While our focus is resolutely centered on quantifying the purported link between military technology education and stock price performance, the implications of our investigation may resonate far beyond the confines of these two ostensibly unrelated realms.
We invite the reader to join us in this odyssey of discovery, one that promises to unearth unexpected correlations and, dare we say, stockpile a few surprises along the way. In the subsequent sections, we meticulously chronicle the methodology employed, the empirical findings that have emerged from our analysis, and the deeper insights that this connection may proffer to both the realms of academia and finance. Shall we proceed, then, with unwavering curiosity and a readiness to confront the unexpected? Indeed, let the adventure begin!

[[RESULTS]]
The statistical analysis of the relationship between the number of Bachelor's degrees awarded in military technologies and the stock price of T-Mobile Us (TMUS) revealed a remarkably high correlation coefficient of 0.9686857. This eyebrow-raising correlation coefficient suggests a strong positive linear relationship between these seemingly unrelated variables. Additionally, the r-squared value of 0.9383519 indicates that approximately 93.8% of the variability in T-Mobile's stock price can be explained by changes in the number of Bachelor's degrees awarded in military technologies.
Our p-value, being less than 0.01, provides strong evidence against the null hypothesis of no correlation, supporting the idea that there is indeed a significant relationship between these two variables. In other words, the likelihood of observing such a strong correlation between these two disparate realms purely by chance is less than 1%. This finding piques our interest and beckons us to explore potential underlying mechanisms driving this unexpected relationship.
The presence of this robust statistical association between the number of Bachelor's degrees in military technologies and T-Mobile's stock price is further highlighted in Fig. 1, which depicts a scatterplot showcasing the unmistakable positive linear pattern between the two variables. The plot serves as a visual testament to the surprising connection we have uncovered, while also reminding us that statistical analysis can sometimes unmask the most fascinating and unanticipated relationships.
Overall, our investigation into this unlikely pairing of educational pursuits in military technologies and the ebb and flow of a telecommunications giant's stock price has yielded compelling evidence of a strong correlation, leaving us both intellectually satisfied and financially intrigued. The implications of this unanticipated relationship are anything but trivial, and they offer a playful reminder that in the labyrinth of data analysis, hidden gems of connection may often await those audacious and curious enough to seek them out.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, the correlation coefficient of 0.9686857 and a p-value less than 0.01 between the number of Bachelor's degrees awarded in military technologies and the stock price of T-Mobile Us (TMUS) have left us astounded. This unexpected relationship challenges traditional notions of association and hints at a connection that is as intriguing as it is inexplicable. The findings of this study not only contribute to the burgeoning field of unusual correlations but also serve as a potent reminder of the serendipitous nature of statistical exploration. The evidence presented here underscores the importance of maintaining an open mind when delving into the complex tapestry of data analysis. The scholarly and financial communities alike will undoubtedly find themselves on the edge of their seats at the prospect of uncovering further unexpected connections in the vast and whimsical landscape of statistical relationships.

We have embarked on a journey that has led us down an unexpected path, one where the twists and turns of statistical analysis have confounded our expectations and left us with a newfound appreciation for the delightful surprises that data can yield. As we conclude this investigation, it is with a sense of both amusement and wonder at the hidden ties that bind seemingly unrelated entities in the realm of empirical inquiry. While the mysterious dance between intellectual pursuits in warfare studies and the stock valuation of T-Mobile may continue to baffle and beguile, this study stands as a testament to the unforeseen marvels that await those bold enough to seek them.

In light of these revelatory findings, we assert that further research in this area appears unnecessary. The playful whimsy of this unanticipated relationship has surely left us all with a wry smile and a newfound appreciation for the unexpected delights that statistical analysis can unveil.


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 Bachelor's Knowledge of Warfare and T-Mobile Stock Price: A Rhyme in Time. Respond only with the name of a fictional academic journal.

ChatGPT:

Journal of Unconventional Cross-Disciplinary Studies


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 Bachelor's Knowledge of Warfare and T-Mobile Stock Price: A Rhyme in Time. Respond only with the name of a fictional organization.

ChatGPT:

The Society for the Advancement of Quirky Compendiums and Research Initiatives (SAQCRI)


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 Bachelor's Knowledge of Warfare and T-Mobile Stock Price: A Rhyme in Time with an abstract of This research paper delves into the delightful world of bachelor's degrees in military technologies and its perplexing connection with the stock price of T-Mobile Us (TMUS). Utilizing data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we carefully scrutinize this seemingly unrelated pair. Surprisingly, our analysis reveals a correlation coefficient of 0.9686857 and a p-value less than 0.01 for the time period spanning 2012 to 2021. The findings and their implications will render stock traders intrigued and might even equip them with a new artillery of insights!

ChatGPT:

bachelor's degree military technologies, T-Mobile stock price correlation, National Center for Education Statistics, LSEG Analytics, Refinitiv, correlation coefficient, p-value, stock trading insights

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



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Data details

Bachelor's degrees awarded in Military technologies
Detailed data title: Bachelor's degrees conferred by postsecondary institutions, in field of study: Military technologies and applied sciences
Source: National Center for Education Statistics
See what else correlates with Bachelor's degrees awarded in Military technologies

T-Mobile Us' stock price (TMUS)
Detailed data title: Opening price of T-Mobile US (TMUS) on the first trading day of the year
Source: LSEG Analytics (Refinitiv)
Additional Info: Via Microsoft Excel Stockhistory function

See what else correlates with T-Mobile Us' stock price (TMUS)

Correlation r = 0.9686857 (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 = 0.9383519 (Coefficient of determination)
This means 93.8% of the change in the one variable (i.e., T-Mobile Us' stock price (TMUS)) is predictable based on the change in the other (i.e., Bachelor's degrees awarded in Military technologies) over the 10 years from 2012 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 4.051E-6. 0.0000040507562111085340000000
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 0.0004051% of random cases. Said differently, if you correlated 246,867 random variables You don't actually need 246 thousand variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.

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

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

Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 9 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 9 because we have two variables measured over a period of 10 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.

[ 0.87, 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.
2012201320142015201620172018201920202021
Bachelor's degrees awarded in Military technologies (Degrees awarded)8610518527635846965576711561524
T-Mobile Us' stock price (TMUS) (Stock price)17.822033.0327.138.8658.163.962.8778.88134.3




Why this works

  1. Data dredging: I have 25,237 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 636,906,169 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
  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([86,105,185,276,358,469,655,767,1156,1524,])
array_2 = np.array([17.82,20,33.03,27.1,38.86,58.1,63.9,62.87,78.88,134.3,])
array_1_name = "Bachelor's degrees awarded in Military technologies"
array_2_name = "T-Mobile Us' stock price (TMUS)"

# 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: 4009 · Black Variable ID: 1284 · Red Variable ID: 1586
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