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Spurious correlation #3,745 · 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 Accenture's stock price (ACN).  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 the knowledge of military technologies and applied sciences increased, so did the ability to strategize and execute plans efficiently. This led to a surge in productivity and innovation at Accenture, ultimately boosting their stock price. Plus, who wouldn't want a team of graduates who could literally ‘defend’ their projects and ‘launch’ them to success?

Model: dalle-3
Prompt: The prompt for DALL·E-3 could be: "Create an image of a futuristic office environment, with employees at Accenture working diligently at their desks. The office space is bright and bustling, adorned with military-themed decorations such as framed military technology blueprints and camo-patterned accent pieces. The employees are engaged and motivated, collaborating on innovative projects. In the background, a stock market ticker shows a steady increase in Accenture's stock price (ACN) in response to the heightened productivity. Meanwhile, in the foreground, there is a university commencement ceremony, where graduates proudly receive their Bachelor's degrees in Military technologies and applied sciences, symbolizing the increase in the number of skilled professionals entering the industry." 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 Accenture's stock price (ACN). 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: Low poly Surrealism Futuristic Brutalism a funny image you would see on reddit
ChatGPT: Futuristic

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 Accenture's stock price (ACN), in the following situation: An increase in Bachelor's degrees awarded in Military technologies and applied sciences led to a surge in demand for military-themed office decorations, causing Accenture employees to feel more motivated and productive, ultimately boosting the company's stock price.. Keep the description simple.
ChatGPT: In a bright and bustling office space, we see a group of employees at Accenture working at their desks. The walls are adorned with military-themed office decorations, such as framed military technology blueprints and camo-patterned accent pieces. The employees are engaged and motivated, collaborating on innovative projects. In the background, a stock market ticker shows a steady increase in Accenture's stock price (ACN) in response to the heightened productivity. Meanwhile, in the foreground, we see a university commencement ceremony, where graduates proudly receive their Bachelor's degrees in Military technologies and applied sciences, symbolizing the increase in the number of skilled professionals entering the industry.

Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ Futuristic ] and depicting this scene: In a bright and bustling office space, we see a group of employees at Accenture working at their desks. The walls are adorned with military-themed office decorations, such as framed military technology blueprints and camo-patterned accent pieces. The employees are engaged and motivated, collaborating on innovative projects. In the background, a stock market ticker shows a steady increase in Accenture's stock price (ACN) in response to the heightened productivity. Meanwhile, in the foreground, we see a university commencement ceremony, where graduates proudly receive their Bachelor's degrees in Military technologies and applied sciences, symbolizing the increase in the number of skilled professionals entering the industry. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: The prompt for DALL·E-3 could be: "Create an image of a futuristic office environment, with employees at Accenture working diligently at their desks. The office space is bright and bustling, adorned with military-themed decorations such as framed military technology blueprints and camo-patterned accent pieces. The employees are engaged and motivated, collaborating on innovative projects. In the background, a stock market ticker shows a steady increase in Accenture's stock price (ACN) in response to the heightened productivity. Meanwhile, in the foreground, there is a university commencement ceremony, where graduates proudly receive their Bachelor's degrees in Military technologies and applied sciences, symbolizing the increase in the number of skilled professionals entering the industry."

*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 Accenture's stock price (ACN) to increase.\Make it sound serious until the end.

AI academic paper

(Because p < 0.01)
Marching to the Market: The Battle of Bachelor's Degrees in Military Technologies and Accenture's ACN Stock Price

The Journal of Strategic Techonomics

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 Accenture's stock price (ACN). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Include a pun 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 0.9924811 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]]
"Marching to the Market: The Battle of Bachelor's Degrees in Military Technologies and Accenture's ACN Stock Price"

[[ABSTRACT]]
This paper investigates the relationship between the number of Bachelor's degrees awarded in Military technologies and Accenture's stock price (ACN). Utilizing data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we conducted a rigorous statistical analysis to answer a question that has been marching in the minds of many observers. Our findings reveal a striking correlation coefficient of 0.9924811 and a p-value less than 0.01 for the time span of 2012 to 2021. The results, while surprising, highlight the importance of considering unconventional factors when evaluating stock performance. This paper aims to delve into this entangled nexus of academia and finance, where one might say the stock market truly takes no prisoners.


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 Accenture's stock price (ACN). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Here is the title and abstract of the paper:
[[TITLE]]
"Marching to the Market: The Battle of Bachelor's Degrees in Military Technologies and Accenture's ACN Stock Price"

[[ABSTRACT]]
This paper investigates the relationship between the number of Bachelor's degrees awarded in Military technologies and Accenture's stock price (ACN). Utilizing data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we conducted a rigorous statistical analysis to answer a question that has been marching in the minds of many observers. Our findings reveal a striking correlation coefficient of 0.9924811 and a p-value less than 0.01 for the time span of 2012 to 2021. The results, while surprising, highlight the importance of considering unconventional factors when evaluating stock performance. This paper aims to delve into this entangled nexus of academia and finance, where one might say the stock market truly takes no prisoners.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

In the realm of academia and finance, there has always been a battle of sorts – a clash between the rigor of statistics and the unpredictable waves of the stock market. It is within this tumultuous terrain that we have chosen to navigate, seeking to uncover the peculiar relationship between the number of Bachelor's degrees awarded in Military technologies and the stock price of Accenture (ACN). As we embark on this expedition, we are reminded of the words of Sun Tzu, who said, "In the midst of chaos, there is also opportunity," and indeed, our journey has been nothing short of chaotic and full of unexpected surprises.

The underlying hypothesis driving this investigation is whether there exists a connection, no matter how tenuous, between the educational pursuits in the domain of Military technologies and the financial performance of Accenture. It is a question that may seem as enigmatic as the correlation between the number of pirates and global warming, yet it has captured the curiosity of many astute observers. We have taken it upon ourselves to unshackle this enigma and bring to light the hidden undercurrents that may influence stock prices, much like hidden currents influence the ebb and flow of the sea.

Our research draws upon data from the National Center for Education Statistics and LSEG Analytics (Refinitiv) to conduct a meticulous and methodical analysis. This approach has enabled us to shine a spotlight on a topic that has largely been overlooked, akin to a hidden treasure buried within the labyrinth of educational statistics and market fluctuations. The results that we have uncovered are as intriguing as they are unexpected, defying conventional wisdom and leading us to question the very fabric of cause and effect in the world of finance.

As we navigate through the labyrinth of statistical analyses and econometric models, we are cognizant of the skepticism that may shroud our findings. Yet, we embrace this with the same determination that a sailor embraces the uncertainty of the open sea, charting a course through uncharted waters in pursuit of discovery and insight. The correlation coefficient of 0.9924811 that we have unveiled, coupled with a p-value less than 0.01 for the time span of 2012 to 2021, stands as a beacon in this quagmire, illuminating the unexpected connection between academia and the ever-fluctuating tides of the stock market.

In the following sections, we will delve deeper into the labyrinthine nexus that intertwines the awarding of Bachelor's degrees in Military technologies and the financial performance of Accenture. With every twist and turn, we aim to unravel the complex relationship between these seemingly disparate variables, shedding light on the interwoven tapestry of academia and market dynamics. It is within this entangled nexus that we seek to find order amidst the chaos and to illuminate the peculiar dance of numbers, a waltz that captivates the inquisitive mind and challenges traditional paradigms.

Intrigued by the undercurrents that may influence stock performance, we explore the uncharted waters where academia and finance collide, inviting the reader to join us in this scholarly odyssey where, one might say, the stock market truly takes no prisoners.


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 Accenture's stock price (ACN). 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 cartoons and childrens' shows that you watched that are related to the topic.

Here is the title and abstract of the paper:
[[TITLE]]
"Marching to the Market: The Battle of Bachelor's Degrees in Military Technologies and Accenture's ACN Stock Price"

[[ABSTRACT]]
This paper investigates the relationship between the number of Bachelor's degrees awarded in Military technologies and Accenture's stock price (ACN). Utilizing data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we conducted a rigorous statistical analysis to answer a question that has been marching in the minds of many observers. Our findings reveal a striking correlation coefficient of 0.9924811 and a p-value less than 0.01 for the time span of 2012 to 2021. The results, while surprising, highlight the importance of considering unconventional factors when evaluating stock performance. This paper aims to delve into this entangled nexus of academia and finance, where one might say the stock market truly takes no prisoners.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
In the realm of academia and finance, there has always been a battle of sorts – a clash between the rigor of statistics and the unpredictable waves of the stock market. It is within this tumultuous terrain that we have chosen to navigate, seeking to uncover the peculiar relationship between the number of Bachelor's degrees awarded in Military technologies and the stock price of Accenture (ACN). As we embark on this expedition, we are reminded of the words of Sun Tzu, who said, "In the midst of chaos, there is also opportunity," and indeed, our journey has been nothing short of chaotic and full of unexpected surprises.
The underlying hypothesis driving this investigation is whether there exists a connection, no matter how tenuous, between the educational pursuits in the domain of Military technologies and the financial performance of Accenture. It is a question that may seem as enigmatic as the correlation between the number of pirates and global warming, yet it has captured the curiosity of many astute observers. We have taken it upon ourselves to unshackle this enigma and bring to light the hidden undercurrents that may influence stock prices, much like hidden currents influence the ebb and flow of the sea.
Our research draws upon data from the National Center for Education Statistics and LSEG Analytics (Refinitiv) to conduct a meticulous and methodical analysis. This approach has enabled us to shine a spotlight on a topic that has largely been overlooked, akin to a hidden treasure buried within the labyrinth of educational statistics and market fluctuations. The results that we have uncovered are as intriguing as they are unexpected, defying conventional wisdom and leading us to question the very fabric of cause and effect in the world of finance.
As we navigate through the labyrinth of statistical analyses and econometric models, we are cognizant of the skepticism that may shroud our findings. Yet, we embrace this with the same determination that a sailor embraces the uncertainty of the open sea, charting a course through uncharted waters in pursuit of discovery and insight. The correlation coefficient of 0.9924811 that we have unveiled, coupled with a p-value less than 0.01 for the time span of 2012 to 2021, stands as a beacon in this quagmire, illuminating the unexpected connection between academia and the ever-fluctuating tides of the stock market.
In the following sections, we will delve deeper into the labyrinthine nexus that intertwines the awarding of Bachelor's degrees in Military technologies and the financial performance of Accenture. With every twist and turn, we aim to unravel the complex relationship between these seemingly disparate variables, shedding light on the interwoven tapestry of academia and market dynamics. It is within this entangled nexus that we seek to find order amidst the chaos and to illuminate the peculiar dance of numbers, a waltz that captivates the inquisitive mind and challenges traditional paradigms.
Intrigued by the undercurrents that may influence stock performance, we explore the uncharted waters where academia and finance collide, inviting the reader to join us in this scholarly odyssey where, one might say, the stock market truly takes no prisoners.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The intersection of academia and finance has long been a subject of interest and curiosity, akin to a twist in the plot of a gripping mystery novel. As we set out to explore the connection between the number of Bachelor's degrees awarded in Military technologies and the stock price of Accenture (ACN), we are reminded of the words of famed researchers Smith, Doe, and Jones, who have delved into similar enigmatic relationships. In "Book," the authors find a correlation between unconventional academic pursuits and market trends, laying the foundation for our expedition into the uncharted territory of military technology education and stock performance.

Turning our attention to non-fiction works, "Economics and Warfare" and "Market Forces: An In-Depth Analysis" offer invaluable insights into the intricate dance of academic pursuits and market dynamics. These sources serve as our compass, guiding us through the labyrinthine pathways of statistical analysis and financial exploration. However, as we venture further into this scholarly odyssey, we cannot help but recall the words of author Lorem Ipsum, who once remarked, "Numbers don't lie, but they also don't tell the whole truth," a sentiment that reflects the nuanced nature of our inquiry.

In the realm of fiction, "The Art of War," a classic tale of strategy and cunning, provides a different lens through which to view our investigation. The captivating narratives in "War and Finance: A Tale of Two Worlds" offer a whimsical yet insightful perspective on the interplay between academia and stock market performance, proving that truth can sometimes be stranger than fiction.

Taking an unexpected turn, we draw inspiration from popular culture, where cartoons and children's shows have subtly touched on the themes of military technologies and market fluctuations. "G.I. Joe: A Real Analysis," a beloved animated series, sparks nostalgic memories of youthful curiosity about the military, while "Pirates of Finance: The Treasure of Wall Street" offers a whimsical portrayal of the unpredictable forces at play in the financial landscape.

As we immerse ourselves in this scholarly journey, we invite the reader to join us in untangling the threads that bind academia and finance, holding fast to the belief that even in the most unexpected places, valuable insights and discoveries await. In the following sections, we will navigate the seas of statistical exploration and economic analysis, unveiling the unexpected correlations and hidden currents that shape the captivating narrative of our research.


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the methodology section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the methodology section of an academic research paper presenting the findings of the connection between Bachelor's degrees awarded in Military technologies and Accenture's stock price (ACN). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from 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]]
"Marching to the Market: The Battle of Bachelor's Degrees in Military Technologies and Accenture's ACN Stock Price"

[[ABSTRACT]]
This paper investigates the relationship between the number of Bachelor's degrees awarded in Military technologies and Accenture's stock price (ACN). Utilizing data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we conducted a rigorous statistical analysis to answer a question that has been marching in the minds of many observers. Our findings reveal a striking correlation coefficient of 0.9924811 and a p-value less than 0.01 for the time span of 2012 to 2021. The results, while surprising, highlight the importance of considering unconventional factors when evaluating stock performance. This paper aims to delve into this entangled nexus of academia and finance, where one might say the stock market truly takes no prisoners.

[[INTRODUCTION]]
In the realm of academia and finance, there has always been a battle of sorts – a clash between the rigor of statistics and the unpredictable waves of the stock market. It is within this tumultuous terrain that we have chosen to navigate, seeking to uncover the peculiar relationship between the number of Bachelor's degrees awarded in Military technologies and the stock price of Accenture (ACN). As we embark on this expedition, we are reminded of the words of Sun Tzu, who said, "In the midst of chaos, there is also opportunity," and indeed, our journey has been nothing short of chaotic and full of unexpected surprises.
The underlying hypothesis driving this investigation is whether there exists a connection, no matter how tenuous, between the educational pursuits in the domain of Military technologies and the financial performance of Accenture. It is a question that may seem as enigmatic as the correlation between the number of pirates and global warming, yet it has captured the curiosity of many astute observers. We have taken it upon ourselves to unshackle this enigma and bring to light the hidden undercurrents that may influence stock prices, much like hidden currents influence the ebb and flow of the sea.
Our research draws upon data from the National Center for Education Statistics and LSEG Analytics (Refinitiv) to conduct a meticulous and methodical analysis. This approach has enabled us to shine a spotlight on a topic that has largely been overlooked, akin to a hidden treasure buried within the labyrinth of educational statistics and market fluctuations. The results that we have uncovered are as intriguing as they are unexpected, defying conventional wisdom and leading us to question the very fabric of cause and effect in the world of finance.
As we navigate through the labyrinth of statistical analyses and econometric models, we are cognizant of the skepticism that may shroud our findings. Yet, we embrace this with the same determination that a sailor embraces the uncertainty of the open sea, charting a course through uncharted waters in pursuit of discovery and insight. The correlation coefficient of 0.9924811 that we have unveiled, coupled with a p-value less than 0.01 for the time span of 2012 to 2021, stands as a beacon in this quagmire, illuminating the unexpected connection between academia and the ever-fluctuating tides of the stock market.
In the following sections, we will delve deeper into the labyrinthine nexus that intertwines the awarding of Bachelor's degrees in Military technologies and the financial performance of Accenture. With every twist and turn, we aim to unravel the complex relationship between these seemingly disparate variables, shedding light on the interwoven tapestry of academia and market dynamics. It is within this entangled nexus that we seek to find order amidst the chaos and to illuminate the peculiar dance of numbers, a waltz that captivates the inquisitive mind and challenges traditional paradigms.
Intrigued by the undercurrents that may influence stock performance, we explore the uncharted waters where academia and finance collide, inviting the reader to join us in this scholarly odyssey where, one might say, the stock market truly takes no prisoners.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

"Marching to the Market: The Battle of Bachelor's Degrees in Military Technologies and Accenture's ACN Stock Price"

[[METHODOLOGY]]

To unearth the underlying relationship between the number of Bachelor's degrees awarded in Military technologies and the stock price of Accenture (ACN), our research team embarked on a methodological expedition akin to navigating a ship through the treacherous waters of statistical analysis. We employed a multi-faceted methodology that would make even the most intrepid explorer blush with curiosity.

First and foremost, we scoured the vast expanse of the internet, sifting through various data sources like a miner prospecting for nuggets of statistical gold. The National Center for Education Statistics served as our North Star in navigating the labyrinth of educational statistics, providing us with a trove of data on the number of Bachelor's degrees awarded in the field of Military technologies. We complemented this with data from LSEG Analytics (Refinitiv), offering us a compass to navigate the dizzying highs and lows of Accenture's stock price throughout the years 2012 to 2021.

Having collected these diverse datasets, we employed an array of analytical tools that would impress even the most hardened statistician. Our journey through the tangled underbrush of statistical analysis involved harnessing the might of correlation coefficients, regression models, and p-values, akin to an alchemist seeking to transmute raw data into golden insights.

In our quest to unravel the enigmatic relationship between academia and finance, we meticulously parsed through the data, conducting rigorous statistical analyses that would make even the most skeptical observer raise an eyebrow in awe. We meticulously examined the temporal patterns, teasing out the subtle threads that connected the awarding of Bachelor's degrees in Military technologies to the undulating tides of Accenture's stock price.

Our data journey reached its climax as we uncovered a striking correlation coefficient of 0.9924811 and a p-value less than 0.01 for the time span of 2012 to 2021. This remarkable finding, akin to discovering buried treasure amidst the chaos of the statistical sea, stands as a testament to the unyielding dedication of our research team and the power of unconventional inquiry in the field of finance.

In the subsequent sections of this paper, we will navigate through the entangled nexus that intertwines the awarding of Bachelor's degrees in Military technologies with the pulsating heartbeat of Accenture's stock performance. With each step, we aim to peel back the layers of this scholarly odyssey, revealing the hidden currents that influence market dynamics and challenging traditional paradigms with the fervor of intrepid explorers charting new territories.

Our methodology, while unconventional, has illuminated an unexpected connection between academia and the ever-fluctuating tides of the stock market, demonstrating that when it comes to research, the journey is just as captivating as the destination.


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 Accenture's stock price (ACN). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from National Center for Education Statistics and LSEG Analytics (Refinitiv) .

For the time period 2012 to 2021, you found a correlation 0.9924811, r-squared of 0.9850187, 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]]
"Marching to the Market: The Battle of Bachelor's Degrees in Military Technologies and Accenture's ACN Stock Price"

[[ABSTRACT]]
This paper investigates the relationship between the number of Bachelor's degrees awarded in Military technologies and Accenture's stock price (ACN). Utilizing data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we conducted a rigorous statistical analysis to answer a question that has been marching in the minds of many observers. Our findings reveal a striking correlation coefficient of 0.9924811 and a p-value less than 0.01 for the time span of 2012 to 2021. The results, while surprising, highlight the importance of considering unconventional factors when evaluating stock performance. This paper aims to delve into this entangled nexus of academia and finance, where one might say the stock market truly takes no prisoners.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
In the realm of academia and finance, there has always been a battle of sorts – a clash between the rigor of statistics and the unpredictable waves of the stock market. It is within this tumultuous terrain that we have chosen to navigate, seeking to uncover the peculiar relationship between the number of Bachelor's degrees awarded in Military technologies and the stock price of Accenture (ACN). As we embark on this expedition, we are reminded of the words of Sun Tzu, who said, "In the midst of chaos, there is also opportunity," and indeed, our journey has been nothing short of chaotic and full of unexpected surprises.
The underlying hypothesis driving this investigation is whether there exists a connection, no matter how tenuous, between the educational pursuits in the domain of Military technologies and the financial performance of Accenture. It is a question that may seem as enigmatic as the correlation between the number of pirates and global warming, yet it has captured the curiosity of many astute observers. We have taken it upon ourselves to unshackle this enigma and bring to light the hidden undercurrents that may influence stock prices, much like hidden currents influence the ebb and flow of the sea.
Our research draws upon data from the National Center for Education Statistics and LSEG Analytics (Refinitiv) to conduct a meticulous and methodical analysis. This approach has enabled us to shine a spotlight on a topic that has largely been overlooked, akin to a hidden treasure buried within the labyrinth of educational statistics and market fluctuations. The results that we have uncovered are as intriguing as they are unexpected, defying conventional wisdom and leading us to question the very fabric of cause and effect in the world of finance.
As we navigate through the labyrinth of statistical analyses and econometric models, we are cognizant of the skepticism that may shroud our findings. Yet, we embrace this with the same determination that a sailor embraces the uncertainty of the open sea, charting a course through uncharted waters in pursuit of discovery and insight. The correlation coefficient of 0.9924811 that we have unveiled, coupled with a p-value less than 0.01 for the time span of 2012 to 2021, stands as a beacon in this quagmire, illuminating the unexpected connection between academia and the ever-fluctuating tides of the stock market.
In the following sections, we will delve deeper into the labyrinthine nexus that intertwines the awarding of Bachelor's degrees in Military technologies and the financial performance of Accenture. With every twist and turn, we aim to unravel the complex relationship between these seemingly disparate variables, shedding light on the interwoven tapestry of academia and market dynamics. It is within this entangled nexus that we seek to find order amidst the chaos and to illuminate the peculiar dance of numbers, a waltz that captivates the inquisitive mind and challenges traditional paradigms.
Intrigued by the undercurrents that may influence stock performance, we explore the uncharted waters where academia and finance collide, inviting the reader to join us in this scholarly odyssey where, one might say, the stock market truly takes no prisoners.

-------

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 Accenture's stock price (ACN) yielded surprising and, some might say, boot-camp-level significant results. For the time period spanning 2012 to 2021, the correlation coefficient was found to be a striking 0.9924811. This indicates an almost eerie level of association between the two variables, raising eyebrows and prompting even the most seasoned analysts to do a double take. The r-squared value of 0.9850187 further solidifies the strength of this relationship, leaving little room for doubt in the minds of our esteemed colleagues in the academic and financial communities.

A p-value of less than 0.01 adds a compelling layer of legitimacy to our findings, effectively overshadowing any lingering skepticism with its statistical prowess. It serves as a testament to the robustness of the observed association and firmly establishes the importance of considering unconventional factors when evaluating stock performance. The combination of these statistical measures paints a vivid picture of the robust and compelling link that exists between the educational pursuits in Military technologies and the ebb and flow of Accenture's stock price.

In alignment with these findings, the scatterplot displayed in Fig. 1 showcases the unmistakably strong correlation between the two variables, leaving little room for ambiguity. The data points form a resolute pattern that underscores the undeniable synchrony between the number of Bachelor's degrees awarded in Military technologies and Accenture's stock price, lending visual credence to our statistical revelations.

These results, although unexpected and counterintuitive, highlight the need to venture beyond conventional wisdom and explore the uncharted waters where academia and finance converge. It is within this entangled nexus that we can truly appreciate the quirky, and at times confounding, dance of numbers – a revelation that challenges prevailing paradigms and beckons us to embark on further scholarly voyages in pursuit of insight and understanding.

In the subsequent sections of this paper, we will continue to unravel the entangled nexus between academia and market dynamics, inviting the reader to join us on this scholarly odyssey where, one might say, the stock market truly takes no prisoners.


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 Accenture's stock price (ACN). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Limit your response to 500 tokens.

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

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

[[TITLE]]
"Marching to the Market: The Battle of Bachelor's Degrees in Military Technologies and Accenture's ACN Stock Price"

[[ABSTRACT]]
This paper investigates the relationship between the number of Bachelor's degrees awarded in Military technologies and Accenture's stock price (ACN). Utilizing data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we conducted a rigorous statistical analysis to answer a question that has been marching in the minds of many observers. Our findings reveal a striking correlation coefficient of 0.9924811 and a p-value less than 0.01 for the time span of 2012 to 2021. The results, while surprising, highlight the importance of considering unconventional factors when evaluating stock performance. This paper aims to delve into this entangled nexus of academia and finance, where one might say the stock market truly takes no prisoners.

[[LITERATURE REVIEW]]
The intersection of academia and finance has long been a subject of interest and curiosity, akin to a twist in the plot of a gripping mystery novel. As we set out to explore the connection between the number of Bachelor's degrees awarded in Military technologies and the stock price of Accenture (ACN), we are reminded of the words of famed researchers Smith, Doe, and Jones, who have delved into similar enigmatic relationships. In "Book," the authors find a correlation between unconventional academic pursuits and market trends, laying the foundation for our expedition into the uncharted territory of military technology education and stock performance.
Turning our attention to non-fiction works, "Economics and Warfare" and "Market Forces: An In-Depth Analysis" offer invaluable insights into the intricate dance of academic pursuits and market dynamics. These sources serve as our compass, guiding us through the labyrinthine pathways of statistical analysis and financial exploration. However, as we venture further into this scholarly odyssey, we cannot help but recall the words of author Lorem Ipsum, who once remarked, "Numbers don't lie, but they also don't tell the whole truth," a sentiment that reflects the nuanced nature of our inquiry.
In the realm of fiction, "The Art of War," a classic tale of strategy and cunning, provides a different lens through which to view our investigation. The captivating narratives in "War and Finance: A Tale of Two Worlds" offer a whimsical yet insightful perspective on the interplay between academia and stock market performance, proving that truth can sometimes be stranger than fiction.
Taking an unexpected turn, we draw inspiration from popular culture, where cartoons and children's shows have subtly touched on the themes of military technologies and market fluctuations. "G.I. Joe: A Real Analysis," a beloved animated series, sparks nostalgic memories of youthful curiosity about the military, while "Pirates of Finance: The Treasure of Wall Street" offers a whimsical portrayal of the unpredictable forces at play in the financial landscape.
As we immerse ourselves in this scholarly journey, we invite the reader to join us in untangling the threads that bind academia and finance, holding fast to the belief that even in the most unexpected places, valuable insights and discoveries await. In the following sections, we will navigate the seas of statistical exploration and economic analysis, unveiling the unexpected correlations and hidden currents that shape the captivating narrative of our research.

[[RESULTS]]
The statistical analysis of the relationship between the number of Bachelor's degrees awarded in Military technologies and Accenture's stock price (ACN) yielded surprising and, some might say, boot-camp-level significant results. For the time period spanning 2012 to 2021, the correlation coefficient was found to be a striking 0.9924811. This indicates an almost eerie level of association between the two variables, raising eyebrows and prompting even the most seasoned analysts to do a double take. The r-squared value of 0.9850187 further solidifies the strength of this relationship, leaving little room for doubt in the minds of our esteemed colleagues in the academic and financial communities.
A p-value of less than 0.01 adds a compelling layer of legitimacy to our findings, effectively overshadowing any lingering skepticism with its statistical prowess. It serves as a testament to the robustness of the observed association and firmly establishes the importance of considering unconventional factors when evaluating stock performance. The combination of these statistical measures paints a vivid picture of the robust and compelling link that exists between the educational pursuits in Military technologies and the ebb and flow of Accenture's stock price.
In alignment with these findings, the scatterplot displayed in Fig. 1 showcases the unmistakably strong correlation between the two variables, leaving little room for ambiguity. The data points form a resolute pattern that underscores the undeniable synchrony between the number of Bachelor's degrees awarded in Military technologies and Accenture's stock price, lending visual credence to our statistical revelations.
These results, although unexpected and counterintuitive, highlight the need to venture beyond conventional wisdom and explore the uncharted waters where academia and finance converge. It is within this entangled nexus that we can truly appreciate the quirky, and at times confounding, dance of numbers – a revelation that challenges prevailing paradigms and beckons us to embark on further scholarly voyages in pursuit of insight and understanding.
In the subsequent sections of this paper, we will continue to unravel the entangled nexus between academia and market dynamics, inviting the reader to join us on this scholarly odyssey where, one might say, the stock market truly takes no prisoners.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The results of our study bring to light an unorthodox yet undeniably robust relationship between the number of Bachelor's degrees awarded in Military technologies and Accenture's stock price (ACN). The striking correlation coefficient of 0.9924811 and a p-value less than 0.01 lend statistical gravitas to our findings, hinting at a connection that seems to have marched surreptitiously beneath the radar of traditional market analysis.

In the spirit of our literature review, which channeled the wisdom of both fact and fiction, it appears that the data has lent credence to the notion that academic pursuits can indeed wield a seemingly invisible influence on market forces. The enigmatic connections explored in our review, whether through the lens of classic economic principles or the whimsy of childhood cartoons, have proven to be not merely academic diversions, but rather insightful guideposts on our expedition to decode the interplay between academia and finance.

The unexpected and almost boot-camp-level significance of our results may prompt even the most seasoned researchers to stand at attention, so to speak. The eerily high correlation coefficient and resolute pattern displayed in our scatterplot serve as undeniable evidence that this relationship cannot be dismissed as a statistical mirage. In fact, one might say that the associations uncovered in our study have assembled into a battalion of undeniable significance, poised to command attention in both academic and financial circles.

Furthermore, the r-squared value of 0.9850187 acts as a lieutenant, solidifying the strength of this relationship and indicating that the educational pursuits in Military technologies march in lockstep with the ebb and flow of Accenture's stock price. This statistical inference challenges traditional paradigms, beckoning researchers to band together in further scholarly missions to unveil the quirks and surprises that lie beneath the surface of seemingly unrelated variables.

In the expanse of academia and finance, where the forces of numbers and market dynamics converge, our study stands as a testament to the unexpected connections that materialize when we dare to navigate uncharted waters. It is within this entangled nexus that the stock market truly takes no prisoners, and where the threads of statistical exploration and economic analysis intertwine to compose a symphony of revelation.

As we conclude this portion of our scholarly odyssey, we invite the reader to march forward with us as we seek to unearth more of these hidden gems that shimmer within the vast landscape of academic and financial eccentricities. For in the realm of statistics, one never knows when the correlation between supposedly unrelated variables might reveal itself as a hidden treasure trove of insight and discovery.


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the discussion section of 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 Accenture's stock price (ACN). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
"Marching to the Market: The Battle of Bachelor's Degrees in Military Technologies and Accenture's ACN Stock Price"

[[ABSTRACT]]
This paper investigates the relationship between the number of Bachelor's degrees awarded in Military technologies and Accenture's stock price (ACN). Utilizing data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we conducted a rigorous statistical analysis to answer a question that has been marching in the minds of many observers. Our findings reveal a striking correlation coefficient of 0.9924811 and a p-value less than 0.01 for the time span of 2012 to 2021. The results, while surprising, highlight the importance of considering unconventional factors when evaluating stock performance. This paper aims to delve into this entangled nexus of academia and finance, where one might say the stock market truly takes no prisoners.

[[INTRDUCTION]]
In the realm of academia and finance, there has always been a battle of sorts – a clash between the rigor of statistics and the unpredictable waves of the stock market. It is within this tumultuous terrain that we have chosen to navigate, seeking to uncover the peculiar relationship between the number of Bachelor's degrees awarded in Military technologies and the stock price of Accenture (ACN). As we embark on this expedition, we are reminded of the words of Sun Tzu, who said, "In the midst of chaos, there is also opportunity," and indeed, our journey has been nothing short of chaotic and full of unexpected surprises.
The underlying hypothesis driving this investigation is whether there exists a connection, no matter how tenuous, between the educational pursuits in the domain of Military technologies and the financial performance of Accenture. It is a question that may seem as enigmatic as the correlation between the number of pirates and global warming, yet it has captured the curiosity of many astute observers. We have taken it upon ourselves to unshackle this enigma and bring to light the hidden undercurrents that may influence stock prices, much like hidden currents influence the ebb and flow of the sea.
Our research draws upon data from the National Center for Education Statistics and LSEG Analytics (Refinitiv) to conduct a meticulous and methodical analysis. This approach has enabled us to shine a spotlight on a topic that has largely been overlooked, akin to a hidden treasure buried within the labyrinth of educational statistics and market fluctuations. The results that we have uncovered are as intriguing as they are unexpected, defying conventional wisdom and leading us to question the very fabric of cause and effect in the world of finance.
As we navigate through the labyrinth of statistical analyses and econometric models, we are cognizant of the skepticism that may shroud our findings. Yet, we embrace this with the same determination that a sailor embraces the uncertainty of the open sea, charting a course through uncharted waters in pursuit of discovery and insight. The correlation coefficient of 0.9924811 that we have unveiled, coupled with a p-value less than 0.01 for the time span of 2012 to 2021, stands as a beacon in this quagmire, illuminating the unexpected connection between academia and the ever-fluctuating tides of the stock market.
In the following sections, we will delve deeper into the labyrinthine nexus that intertwines the awarding of Bachelor's degrees in Military technologies and the financial performance of Accenture. With every twist and turn, we aim to unravel the complex relationship between these seemingly disparate variables, shedding light on the interwoven tapestry of academia and market dynamics. It is within this entangled nexus that we seek to find order amidst the chaos and to illuminate the peculiar dance of numbers, a waltz that captivates the inquisitive mind and challenges traditional paradigms.
Intrigued by the undercurrents that may influence stock performance, we explore the uncharted waters where academia and finance collide, inviting the reader to join us in this scholarly odyssey where, one might say, the stock market truly takes no prisoners.

[[RESULTS]]
The statistical analysis of the relationship between the number of Bachelor's degrees awarded in Military technologies and Accenture's stock price (ACN) yielded surprising and, some might say, boot-camp-level significant results. For the time period spanning 2012 to 2021, the correlation coefficient was found to be a striking 0.9924811. This indicates an almost eerie level of association between the two variables, raising eyebrows and prompting even the most seasoned analysts to do a double take. The r-squared value of 0.9850187 further solidifies the strength of this relationship, leaving little room for doubt in the minds of our esteemed colleagues in the academic and financial communities.
A p-value of less than 0.01 adds a compelling layer of legitimacy to our findings, effectively overshadowing any lingering skepticism with its statistical prowess. It serves as a testament to the robustness of the observed association and firmly establishes the importance of considering unconventional factors when evaluating stock performance. The combination of these statistical measures paints a vivid picture of the robust and compelling link that exists between the educational pursuits in Military technologies and the ebb and flow of Accenture's stock price.
In alignment with these findings, the scatterplot displayed in Fig. 1 showcases the unmistakably strong correlation between the two variables, leaving little room for ambiguity. The data points form a resolute pattern that underscores the undeniable synchrony between the number of Bachelor's degrees awarded in Military technologies and Accenture's stock price, lending visual credence to our statistical revelations.
These results, although unexpected and counterintuitive, highlight the need to venture beyond conventional wisdom and explore the uncharted waters where academia and finance converge. It is within this entangled nexus that we can truly appreciate the quirky, and at times confounding, dance of numbers – a revelation that challenges prevailing paradigms and beckons us to embark on further scholarly voyages in pursuit of insight and understanding.
In the subsequent sections of this paper, we will continue to unravel the entangled nexus between academia and market dynamics, inviting the reader to join us on this scholarly odyssey where, one might say, the stock market truly takes no prisoners.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our expedition into the intricate web of correlations between the awarding of Bachelor's degrees in Military technologies and the stock performance of Accenture has revealed a nexus as robust as a tank and as significant as a stock market boom. The striking correlation coefficient of 0.9924811, akin to a fearless leader rallying troops, and a p-value less than 0.01, serving as a formidable shield against doubt, stand as testament to the undeniable association between these seemingly disparate variables. The r-squared value of 0.9850187 further solidifies the robustness of this relationship, much like a fortified stronghold in the world of statistical analysis.

The scatterplot displayed in Fig. 1 leaves little room for ambiguity, illustrating a synchrony between the number of Bachelor's degrees awarded in Military technologies and Accenture's stock price as unmistakable as a precision-guided missile hitting its target. These findings challenge conventional wisdom, compelling us to consider unconventional factors in the evaluation of stock performance, much like a surprise attack that reshapes the battlefield of financial analysis.

Here we stand, having navigated the tumultuous waters of academic inquiry and financial scrutiny, armed with compelling evidence of the intertwined fate of military education and market dynamics. As we emerge from this scholarly odyssey, it is with the conviction that no further research in this niche area is needed, for we have uncovered a correlation as formidable as it is unexpected, leaving no prisoners in our quest for insight and understanding.

In the spirit of military strategy and market acumen, we can confidently march forward, leaving this peculiar battle of statistics and stock prices behind, knowing that we have conquered a frontier as enigmatic as it is enthralling. And as we move on to new academic pursuits, let this peculiar dance of numbers remind us that in the realm of research, truth may indeed be stranger than fiction, and correlation may sometimes arise from the most unexpected quarters.


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 Marching to the Market: The Battle of Bachelor's Degrees in Military Technologies and Accenture's ACN Stock Price. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Strategic Techonomics


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 Marching to the Market: The Battle of Bachelor's Degrees in Military Technologies and Accenture's ACN Stock Price. Respond only with the name of a fictional organization.

ChatGPT:

Foundation for Military Technology Advancements


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 Marching to the Market: The Battle of Bachelor's Degrees in Military Technologies and Accenture's ACN Stock Price with an abstract of This paper investigates the relationship between the number of Bachelor's degrees awarded in Military technologies and Accenture's stock price (ACN). Utilizing data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we conducted a rigorous statistical analysis to answer a question that has been marching in the minds of many observers. Our findings reveal a striking correlation coefficient of 0.9924811 and a p-value less than 0.01 for the time span of 2012 to 2021. The results, while surprising, highlight the importance of considering unconventional factors when evaluating stock performance. This paper aims to delve into this entangled nexus of academia and finance, where one might say the stock market truly takes no prisoners.

ChatGPT:

bachelor's degrees, military technologies, Accenture stock price, ACN, National Center for Education Statistics, LSEG Analytics Refinitiv, statistical analysis, correlation coefficient, stock performance, academia, finance, unconventional factors, evaluating stock performance

*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

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

See what else correlates with Accenture's stock price (ACN)

Correlation r = 0.9924811 (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 = 0.9850187 (Coefficient of determination)
This means 98.5% of the change in the one variable (i.e., Accenture's stock price (ACN)) 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 1.4E-8. 0.0000000138570929950751980000
The p-value is a measure of how probable it is that we would randomly find a result this extreme. More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.

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

Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.99 in 1.4E-6% of random cases. Said differently, if you correlated 72,165,208 random variables You don't actually need 72 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 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.

[ 0.97, 1 ] 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
Accenture's stock price (ACN) (Stock price)53.9267.5981.589.67102.62117.38153.5138.93210.86261




Why this works

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




Try it yourself

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

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

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

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

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

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

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

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

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


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

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

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

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

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([86,105,185,276,358,469,655,767,1156,1524,])
array_2 = np.array([53.92,67.59,81.5,89.67,102.62,117.38,153.5,138.93,210.86,261,])
array_1_name = "Bachelor's degrees awarded in Military technologies"
array_2_name = "Accenture's stock price (ACN)"

# 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: 3745 · Black Variable ID: 1284 · Red Variable ID: 1577
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