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Spurious correlation #2,385 · 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 Microsoft's stock price (MSFT).  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 graduates went up, so did the productivity and efficiency at Microsoft. It's like they were armed with the right skills to drive innovation and lead the company to new heights. This influx of talent gave Microsoft a strategic edge, leading to a boom in their stock price. The correlation here is clear: a force to be reckoned with in the job market was directly linked to the surge in MSFT's success.

Model: dalle-3
Prompt: An image that looks like it is a scene from 'Star Wars': A futuristic cityscape featuring towering glass buildings and bustling hovercraft traffic below. In the forefront, a group of proud graduates wearing caps and gowns, accompanied by droids, are holding their Bachelor's degree certificates in military technologies and applied sciences. They stand in front of a towering glass building, with the stock ticker prominently displaying Microsoft's (MSFT) stock price steadily rising. The graduates are engaged in animated conversations, gesturing towards the building and the ticker, emphasizing how their expertise in military technology is fueling the rise of advanced software and technology, thereby contributing to the exponential growth of Microsoft's stock. 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 Microsoft's stock price (MSFT). 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: Surrealism Brutalism Cute cartoon Concept art An image that looks like it is a scene from 'Star Wars'
ChatGPT: An image that looks like it is a scene from 'Star Wars'

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 Microsoft's stock price (MSFT), in the following situation: As more people became experts in military tech, the demand for advanced software and technology systems grew, leading to higher investment in companies like Microsoft. It seems like the real battle for supremacy was happening in the stock market, not on the battlefield!. Keep the description simple.
ChatGPT: In a bustling city, a group of proud graduates wearing caps and gowns are holding their Bachelor's degree certificates in military technologies and applied sciences. They are standing outside a towering glass building, where the stock ticker displays Microsoft's (MSFT) stock price steadily rising. The graduates are talking with excitement about how their expertise is contributing to the increased demand for advanced software and technology, which is propelling Microsoft's stock to new heights. The scene encapsulates the shifting landscape where expertise in military technology is fueling the stock market battle.

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: [ An image that looks like it is a scene from 'Star Wars' ] and depicting this scene: In a bustling city, a group of proud graduates wearing caps and gowns are holding their Bachelor's degree certificates in military technologies and applied sciences. They are standing outside a towering glass building, where the stock ticker displays Microsoft's (MSFT) stock price steadily rising. The graduates are talking with excitement about how their expertise is contributing to the increased demand for advanced software and technology, which is propelling Microsoft's stock to new heights. The scene encapsulates the shifting landscape where expertise in military technology is fueling the stock market battle. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: An image that looks like it is a scene from 'Star Wars': A futuristic cityscape featuring towering glass buildings and bustling hovercraft traffic below. In the forefront, a group of proud graduates wearing caps and gowns, accompanied by droids, are holding their Bachelor's degree certificates in military technologies and applied sciences. They stand in front of a towering glass building, with the stock ticker prominently displaying Microsoft's (MSFT) stock price steadily rising. The graduates are engaged in animated conversations, gesturing towards the building and the ticker, emphasizing how their expertise in military technology is fueling the rise of advanced software and technology, thereby contributing to the exponential growth of Microsoft's stock.

*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 Microsoft's stock price (MSFT) to increase. Include one good pun.

AI academic paper

(Because p < 0.01)
From Combat to Computer: Exploring the Impact of Bachelor's Degrees in Military Technologies on Microsoft's Stock Price

The Journal of Military Tech and Financial Markets

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 dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You write titles and abstracts of goofy academic research papers.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, and add unexpected twists in your writing.

Please draft the title and abstract of an academic research paper presenting the findings of the connection between Bachelor's degrees awarded in Military technologies and applied sciences and Microsoft's stock price (MSFT). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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 0.9930697 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]]
"From Combat to Computer: Exploring the Impact of Bachelor's Degrees in Military Technologies on Microsoft's Stock Price"

[[ABSTRACT]]
This study delves into the intriguing relationship between the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences and Microsoft's stock price performance. Using data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we undertook a comprehensive analysis from 2012 to 2021. Our findings revealed a remarkably high correlation coefficient of 0.9930697 and statistically significant p < 0.01, providing compelling evidence for the connection between these seemingly unrelated entities.

It seems that military technology know-how and Microsoft's financial health go hand in hand, much like a soldier and their trusty equipment. It's as if the market is saying, "Give me an IT whiz with a camouflage twist, and I'll show you rising stocks that persist!" Our results suggest that the skills and knowledge acquired through military technologies education may contribute to the upward momentum of Microsoft's stock price. Whether it's due to the power of precision in both arenas or just a case of "semper buy," this association is not one to be dismissed lightly.

In conclusion, the link between Bachelor's degrees in Military Technologies and Applied Sciences and Microsoft's stock performance is a phenomenon worth further investigation and consideration by investors, educators, and pun enthusiasts alike.


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

Please make up the introduction section of an academic research paper presenting the findings of the connection between Bachelor's degrees awarded in Military technologies and applied sciences and Microsoft's stock price (MSFT). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Here is the title and abstract of the paper:
[[TITLE]]
"From Combat to Computer: Exploring the Impact of Bachelor's Degrees in Military Technologies on Microsoft's Stock Price"

[[ABSTRACT]]
This study delves into the intriguing relationship between the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences and Microsoft's stock price performance. Using data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we undertook a comprehensive analysis from 2012 to 2021. Our findings revealed a remarkably high correlation coefficient of 0.9930697 and statistically significant p < 0.01, providing compelling evidence for the connection between these seemingly unrelated entities.

It seems that military technology know-how and Microsoft's financial health go hand in hand, much like a soldier and their trusty equipment. It's as if the market is saying, "Give me an IT whiz with a camouflage twist, and I'll show you rising stocks that persist!" Our results suggest that the skills and knowledge acquired through military technologies education may contribute to the upward momentum of Microsoft's stock price. Whether it's due to the power of precision in both arenas or just a case of "semper buy," this association is not one to be dismissed lightly.

In conclusion, the link between Bachelor's degrees in Military Technologies and Applied Sciences and Microsoft's stock performance is a phenomenon worth further investigation and consideration by investors, educators, and pun enthusiasts alike.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

Amidst the flurry of economic indicators and stock market analyses, one might not expect to find a connection between Bachelor's degrees in Military Technologies and Applied Sciences and the stock price of a tech giant like Microsoft. However, as the saying goes, "Don't underestimate the power of a soldier's knowledge in boosting a corporation's stockage." (Okay, that one's a bit of a stretch, but bear with me.)

In this era of rapid technological advancement, the intersection of military technologies and civilian applications has become increasingly apparent. As military equipment evolves to incorporate cutting-edge software and hardware, the skills acquired through education in this domain may have broader implications beyond the battlefield. It's almost as if military technologies and Wall Street are engaged in a covert operation, sneaking in influences where we least expect them.

Considering Microsoft's position as a leading provider of software, services, and devices, the impact of military technologies education on its stock price warrants investigation. Could it be that the discipline and precision instilled in military technologies programs equip graduates with an edge in the fast-paced world of technology and business? Our findings delve into this intriguing possibility, revealing correlations that may leave you exclaiming, "Atten-hut, this is all quite unexpected!"

This study aims to shed light on a relationship that has flown under the radar, like a stealth bomber in the night sky. By examining data from the National Center for Education Statistics and LSEG Analytics (Refinitiv) over the past decade, we endeavor to provide empirical evidence for the influence of military technologies education on the financial performance of Microsoft. It's time to uncover whether this is a case of "cyber-armor" adding value to the market or just a fortuitous coincidence worthy of a dad joke or two.

So, grab your helmets and secure your financial spreadsheets – we're about to embark on a journey that traverses the realms of academia, commerce, and the occasional play on words.


Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a literature review section of an academic research paper presenting the findings of the connection between Bachelor's degrees awarded in Military technologies and applied sciences and Microsoft's stock price (MSFT). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then devolve ever further, and mention something completely ridiculous, like you conducted literature review by reading the backs of shampoo bottles.

Here is the title and abstract of the paper:
[[TITLE]]
"From Combat to Computer: Exploring the Impact of Bachelor's Degrees in Military Technologies on Microsoft's Stock Price"

[[ABSTRACT]]
This study delves into the intriguing relationship between the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences and Microsoft's stock price performance. Using data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we undertook a comprehensive analysis from 2012 to 2021. Our findings revealed a remarkably high correlation coefficient of 0.9930697 and statistically significant p < 0.01, providing compelling evidence for the connection between these seemingly unrelated entities.

It seems that military technology know-how and Microsoft's financial health go hand in hand, much like a soldier and their trusty equipment. It's as if the market is saying, "Give me an IT whiz with a camouflage twist, and I'll show you rising stocks that persist!" Our results suggest that the skills and knowledge acquired through military technologies education may contribute to the upward momentum of Microsoft's stock price. Whether it's due to the power of precision in both arenas or just a case of "semper buy," this association is not one to be dismissed lightly.

In conclusion, the link between Bachelor's degrees in Military Technologies and Applied Sciences and Microsoft's stock performance is a phenomenon worth further investigation and consideration by investors, educators, and pun enthusiasts alike.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
Amidst the flurry of economic indicators and stock market analyses, one might not expect to find a connection between Bachelor's degrees in Military Technologies and Applied Sciences and the stock price of a tech giant like Microsoft. However, as the saying goes, "Don't underestimate the power of a soldier's knowledge in boosting a corporation's stockage." (Okay, that one's a bit of a stretch, but bear with me.)
In this era of rapid technological advancement, the intersection of military technologies and civilian applications has become increasingly apparent. As military equipment evolves to incorporate cutting-edge software and hardware, the skills acquired through education in this domain may have broader implications beyond the battlefield. It's almost as if military technologies and Wall Street are engaged in a covert operation, sneaking in influences where we least expect them.
Considering Microsoft's position as a leading provider of software, services, and devices, the impact of military technologies education on its stock price warrants investigation. Could it be that the discipline and precision instilled in military technologies programs equip graduates with an edge in the fast-paced world of technology and business? Our findings delve into this intriguing possibility, revealing correlations that may leave you exclaiming, "Atten-hut, this is all quite unexpected!"
This study aims to shed light on a relationship that has flown under the radar, like a stealth bomber in the night sky. By examining data from the National Center for Education Statistics and LSEG Analytics (Refinitiv) over the past decade, we endeavor to provide empirical evidence for the influence of military technologies education on the financial performance of Microsoft. It's time to uncover whether this is a case of "cyber-armor" adding value to the market or just a fortuitous coincidence worthy of a dad joke or two.
So, grab your helmets and secure your financial spreadsheets – we're about to embark on a journey that traverses the realms of academia, commerce, and the occasional play on words.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The literature on the correlation between educational disciplines and stock performance is vast, with numerous studies exploring the link between various fields of study and financial indicators. Smith and Doe (2015) demonstrated a positive association between degrees in engineering and technology and stock prices of leading tech companies. Jones et al. (2018) found similar connections with degrees in finance and business administration. However, the specific relationship between Bachelor's degrees in Military Technologies and Applied Sciences and Microsoft's stock price has garnered limited attention until now.

Moving beyond the realm of academic papers, relevant non-fiction works such as "The Art of War in the Tech Industry" by Expert Author and "From Battlefield to Boardroom: The Influence of Military Strategy on Corporate Success" by Prominent Scholar provide additional context to this investigation. These texts offer insights into the strategic parallels between military and corporate realms, laying the groundwork for our exploration of the impact of military technologies education on the performance of a tech giant such as Microsoft.

Furthermore, in the realm of fiction, novels such as "Code Warriors: The Cybernetic Chronicles" by Sci-Fi Enthusiast and "Data Wars: The Technological Conquest" by Futuristic Writer present speculative narratives that blur the lines between military and technological domains. While not based on empirical evidence, these imaginative works underscore the pervasive cultural fascination with the intersection of military technologies and computer sciences.

In a departure from conventional sources, the authors undertook an unconventional approach to data gathering by perusing the backs of shampoo bottles in search of cryptic messages and hidden stock market predictions. Alas, the results were inconclusive, although the journey did yield some unexpectedly luscious hair.


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

Please make up the methodology section of an academic research paper presenting the findings of the connection between Bachelor's degrees awarded in Military technologies and applied sciences and Microsoft's stock price (MSFT). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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]]
"From Combat to Computer: Exploring the Impact of Bachelor's Degrees in Military Technologies on Microsoft's Stock Price"

[[ABSTRACT]]
This study delves into the intriguing relationship between the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences and Microsoft's stock price performance. Using data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we undertook a comprehensive analysis from 2012 to 2021. Our findings revealed a remarkably high correlation coefficient of 0.9930697 and statistically significant p < 0.01, providing compelling evidence for the connection between these seemingly unrelated entities.

It seems that military technology know-how and Microsoft's financial health go hand in hand, much like a soldier and their trusty equipment. It's as if the market is saying, "Give me an IT whiz with a camouflage twist, and I'll show you rising stocks that persist!" Our results suggest that the skills and knowledge acquired through military technologies education may contribute to the upward momentum of Microsoft's stock price. Whether it's due to the power of precision in both arenas or just a case of "semper buy," this association is not one to be dismissed lightly.

In conclusion, the link between Bachelor's degrees in Military Technologies and Applied Sciences and Microsoft's stock performance is a phenomenon worth further investigation and consideration by investors, educators, and pun enthusiasts alike.

[[INTRODUCTION]]
Amidst the flurry of economic indicators and stock market analyses, one might not expect to find a connection between Bachelor's degrees in Military Technologies and Applied Sciences and the stock price of a tech giant like Microsoft. However, as the saying goes, "Don't underestimate the power of a soldier's knowledge in boosting a corporation's stockage." (Okay, that one's a bit of a stretch, but bear with me.)
In this era of rapid technological advancement, the intersection of military technologies and civilian applications has become increasingly apparent. As military equipment evolves to incorporate cutting-edge software and hardware, the skills acquired through education in this domain may have broader implications beyond the battlefield. It's almost as if military technologies and Wall Street are engaged in a covert operation, sneaking in influences where we least expect them.
Considering Microsoft's position as a leading provider of software, services, and devices, the impact of military technologies education on its stock price warrants investigation. Could it be that the discipline and precision instilled in military technologies programs equip graduates with an edge in the fast-paced world of technology and business? Our findings delve into this intriguing possibility, revealing correlations that may leave you exclaiming, "Atten-hut, this is all quite unexpected!"
This study aims to shed light on a relationship that has flown under the radar, like a stealth bomber in the night sky. By examining data from the National Center for Education Statistics and LSEG Analytics (Refinitiv) over the past decade, we endeavor to provide empirical evidence for the influence of military technologies education on the financial performance of Microsoft. It's time to uncover whether this is a case of "cyber-armor" adding value to the market or just a fortuitous coincidence worthy of a dad joke or two.
So, grab your helmets and secure your financial spreadsheets – we're about to embark on a journey that traverses the realms of academia, commerce, and the occasional play on words.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

Data Collection:
The research team scoured the digital terrain to gather information on the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences. The primary source of data was the National Center for Education Statistics, which provided a comprehensive and structured dataset for analysis. In addition, data from LSEG Analytics (Refinitiv) was utilized to capture the fluctuations in Microsoft's stock price over the same period. The combined use of these datasets allowed for a thorough examination of the relationship between these variables.

To gather the data, we utilized an innovative amalgamation of automated web scraping tools and the tried-and-true method of manually verifying and cross-referencing the extracted information. This approach ensured that our dataset was comprehensive and accurate, with minimal room for error. As they say, "The data may be digital, but the effort behind it is nothing short of bootcamp-licated!"

Data Analysis:
The collected data underwent rigorous statistical analyses to explore the potential link between the number of Bachelor's degrees in Military Technologies and Applied Sciences and Microsoft's stock price performance. Various econometric models, including time series analysis and regression techniques, were applied to discern patterns and ascertain any significant associations. As we sifted through the data, it became evident that the correlation was such that it practically said, "I'm not a soldier, but I'll march in line with the stock price just fine!"

Furthermore, a comprehensive examination of market trends and external economic factors was integrated into the analysis to account for potential confounding variables. While not every fluctuation could be attributed to our variables of interest, controlling for external influences allowed us to clearly delineate the impact of military technologies education on Microsoft's stock performance. It's as if we were engaged in a complex financial battle, strategically maneuvering through the data to unveil the underlying dynamics.

Robustness Checks:
In order to ensure the robustness of our findings, sensitivity analyses and robustness checks were conducted. These supplementary analyses involved altering the time periods and refining the dataset to gauge the consistency of our results. The goal was to confirm that the obtained correlations were not merely a fleeting mirage, but rather a stable and enduring pattern. As we scrutinized the data from multiple angles, we found that the association persisted, much like an algorithm that refuses to yield to volatility.

In summary, the methodological approach adopted in this study endeavored to unearth the relationship between Bachelor's degrees in Military Technologies and Applied Sciences and Microsoft's stock price through a meticulous and systematic examination of data. The convergence of military prowess and stock market dynamics yielded insights that were as captivating as they were unexpected, proving that there's more to this correlation than meets the AI.


Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the results section of an academic research paper. You speak in the past tense (you found...).
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the results section of an academic research paper presenting the findings of the connection between Bachelor's degrees awarded in Military technologies and applied sciences and Microsoft's stock price (MSFT). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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 0.9930697, r-squared of 0.9861875, 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]]
"From Combat to Computer: Exploring the Impact of Bachelor's Degrees in Military Technologies on Microsoft's Stock Price"

[[ABSTRACT]]
This study delves into the intriguing relationship between the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences and Microsoft's stock price performance. Using data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we undertook a comprehensive analysis from 2012 to 2021. Our findings revealed a remarkably high correlation coefficient of 0.9930697 and statistically significant p < 0.01, providing compelling evidence for the connection between these seemingly unrelated entities.

It seems that military technology know-how and Microsoft's financial health go hand in hand, much like a soldier and their trusty equipment. It's as if the market is saying, "Give me an IT whiz with a camouflage twist, and I'll show you rising stocks that persist!" Our results suggest that the skills and knowledge acquired through military technologies education may contribute to the upward momentum of Microsoft's stock price. Whether it's due to the power of precision in both arenas or just a case of "semper buy," this association is not one to be dismissed lightly.

In conclusion, the link between Bachelor's degrees in Military Technologies and Applied Sciences and Microsoft's stock performance is a phenomenon worth further investigation and consideration by investors, educators, and pun enthusiasts alike.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
Amidst the flurry of economic indicators and stock market analyses, one might not expect to find a connection between Bachelor's degrees in Military Technologies and Applied Sciences and the stock price of a tech giant like Microsoft. However, as the saying goes, "Don't underestimate the power of a soldier's knowledge in boosting a corporation's stockage." (Okay, that one's a bit of a stretch, but bear with me.)
In this era of rapid technological advancement, the intersection of military technologies and civilian applications has become increasingly apparent. As military equipment evolves to incorporate cutting-edge software and hardware, the skills acquired through education in this domain may have broader implications beyond the battlefield. It's almost as if military technologies and Wall Street are engaged in a covert operation, sneaking in influences where we least expect them.
Considering Microsoft's position as a leading provider of software, services, and devices, the impact of military technologies education on its stock price warrants investigation. Could it be that the discipline and precision instilled in military technologies programs equip graduates with an edge in the fast-paced world of technology and business? Our findings delve into this intriguing possibility, revealing correlations that may leave you exclaiming, "Atten-hut, this is all quite unexpected!"
This study aims to shed light on a relationship that has flown under the radar, like a stealth bomber in the night sky. By examining data from the National Center for Education Statistics and LSEG Analytics (Refinitiv) over the past decade, we endeavor to provide empirical evidence for the influence of military technologies education on the financial performance of Microsoft. It's time to uncover whether this is a case of "cyber-armor" adding value to the market or just a fortuitous coincidence worthy of a dad joke or two.
So, grab your helmets and secure your financial spreadsheets – we're about to embark on a journey that traverses the realms of academia, commerce, and the occasional play on words.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The analysis of the relationship between the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences and Microsoft's stock price revealed a remarkably high correlation coefficient of 0.9930697. This finding suggests a strong positive linear relationship between these seemingly disparate variables, leaving us to ponder, "What do you call a stock price that's good at math? A Microsoft regression!"

Additionally, the calculated r-squared value of 0.9861875 indicates that approximately 98.62% of the variability in Microsoft's stock price can be explained by changes in the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences. It's as if these academic achievements are saying to the stock market, "I've got you under my degree's predictable coefficient of determination!"

The p-value of less than 0.01 provides strong evidence against the null hypothesis, supporting the assertion that there exists a significant relationship between the two variables. This result is so statistically significant that some might even say it's as rare as an economist's joke that lands.

Moreover, the correlation was visualized in Fig. 1, which depicts a clear and powerful linear relationship between the number of Bachelor's degrees in Military Technologies and Applied Sciences and Microsoft's stock price. The figure speaks for itself, but we couldn't help but think, "Looks like the stock price was on a military mission - it's marching in step with the number of degrees awarded!"

Overall, the findings of this study underscore the unexpected and intriguing connection between the education in military technologies and the financial performance of a technology giant like Microsoft, leaving us all to wonder, "What do you call a soldier who knows how to invest? A tactical investor!"


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

Please make up the discussion section of an academic research paper presenting the findings of the connection between Bachelor's degrees awarded in Military technologies and applied sciences and Microsoft's stock price (MSFT). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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]]
"From Combat to Computer: Exploring the Impact of Bachelor's Degrees in Military Technologies on Microsoft's Stock Price"

[[ABSTRACT]]
This study delves into the intriguing relationship between the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences and Microsoft's stock price performance. Using data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we undertook a comprehensive analysis from 2012 to 2021. Our findings revealed a remarkably high correlation coefficient of 0.9930697 and statistically significant p < 0.01, providing compelling evidence for the connection between these seemingly unrelated entities.

It seems that military technology know-how and Microsoft's financial health go hand in hand, much like a soldier and their trusty equipment. It's as if the market is saying, "Give me an IT whiz with a camouflage twist, and I'll show you rising stocks that persist!" Our results suggest that the skills and knowledge acquired through military technologies education may contribute to the upward momentum of Microsoft's stock price. Whether it's due to the power of precision in both arenas or just a case of "semper buy," this association is not one to be dismissed lightly.

In conclusion, the link between Bachelor's degrees in Military Technologies and Applied Sciences and Microsoft's stock performance is a phenomenon worth further investigation and consideration by investors, educators, and pun enthusiasts alike.

[[LITERATURE REVIEW]]
The literature on the correlation between educational disciplines and stock performance is vast, with numerous studies exploring the link between various fields of study and financial indicators. Smith and Doe (2015) demonstrated a positive association between degrees in engineering and technology and stock prices of leading tech companies. Jones et al. (2018) found similar connections with degrees in finance and business administration. However, the specific relationship between Bachelor's degrees in Military Technologies and Applied Sciences and Microsoft's stock price has garnered limited attention until now.
Moving beyond the realm of academic papers, relevant non-fiction works such as "The Art of War in the Tech Industry" by Expert Author and "From Battlefield to Boardroom: The Influence of Military Strategy on Corporate Success" by Prominent Scholar provide additional context to this investigation. These texts offer insights into the strategic parallels between military and corporate realms, laying the groundwork for our exploration of the impact of military technologies education on the performance of a tech giant such as Microsoft.
Furthermore, in the realm of fiction, novels such as "Code Warriors: The Cybernetic Chronicles" by Sci-Fi Enthusiast and "Data Wars: The Technological Conquest" by Futuristic Writer present speculative narratives that blur the lines between military and technological domains. While not based on empirical evidence, these imaginative works underscore the pervasive cultural fascination with the intersection of military technologies and computer sciences.
In a departure from conventional sources, the authors undertook an unconventional approach to data gathering by perusing the backs of shampoo bottles in search of cryptic messages and hidden stock market predictions. Alas, the results were inconclusive, although the journey did yield some unexpectedly luscious hair.

[[RESULTS]]
The analysis of the relationship between the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences and Microsoft's stock price revealed a remarkably high correlation coefficient of 0.9930697. This finding suggests a strong positive linear relationship between these seemingly disparate variables, leaving us to ponder, "What do you call a stock price that's good at math? A Microsoft regression!"
Additionally, the calculated r-squared value of 0.9861875 indicates that approximately 98.62% of the variability in Microsoft's stock price can be explained by changes in the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences. It's as if these academic achievements are saying to the stock market, "I've got you under my degree's predictable coefficient of determination!"
The p-value of less than 0.01 provides strong evidence against the null hypothesis, supporting the assertion that there exists a significant relationship between the two variables. This result is so statistically significant that some might even say it's as rare as an economist's joke that lands.
Moreover, the correlation was visualized in Fig. 1, which depicts a clear and powerful linear relationship between the number of Bachelor's degrees in Military Technologies and Applied Sciences and Microsoft's stock price. The figure speaks for itself, but we couldn't help but think, "Looks like the stock price was on a military mission - it's marching in step with the number of degrees awarded!"
Overall, the findings of this study underscore the unexpected and intriguing connection between the education in military technologies and the financial performance of a technology giant like Microsoft, leaving us all to wonder, "What do you call a soldier who knows how to invest? A tactical investor!"

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The results of this study provide robust evidence in support of the previously limitedly explored relationship between Bachelor's degrees in Military Technologies and Applied Sciences and Microsoft's stock price performance. The remarkably high correlation coefficient of 0.9930697 further substantiates the notion that the skills and knowledge acquired through military technologies education may contribute significantly to the upward momentum of Microsoft's stock price. It appears that when it comes to the stock market, knowledge truly is power, and a soldier with a degree in hand is a formidable force indeed.

The insights gleaned from the literature review, including the speculative narratives that blur the lines between military and technological domains, offer intriguing parallels to our findings. Not only do the results corroborate Smith and Doe's (2015) demonstration of a positive association between engineering and technology degrees and stock prices of leading tech companies, but they also extend these correlations to a field that has traditionally not been considered in the context of stock performance. This suggests that the impact of educational disciplines on financial indicators may be even more wide-ranging and unexpected than previously thought.

The calculated r-squared value of 0.9861875 indicates that a substantial 98.62% of the variability in Microsoft's stock price can indeed be explained by changes in the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences. It's as if the stock market is saying, "I may be volatile, but when it comes to military technology knowledge, I'm a stickler for precision!" This further underscores the strong predictive power of these educational achievements on the financial performance of a tech giant.

The statistically significant p-value of less than 0.01 provides compelling evidence against the null hypothesis, affirming the existence of a significant relationship between the number of Bachelor's degrees in Military Technologies and Applied Sciences and Microsoft's stock price. This statistical significance is not to be taken lightly; it's as rare as an economist's joke that lands and as impactful as a good dad joke at a family gathering.

The visualization of the correlation in Fig. 1 portrays a clear and striking linear relationship between the number of Bachelor's degrees in Military Technologies and Applied Sciences and Microsoft's stock price. Indeed, the stock price seems to be marching in step with the number of degrees awarded, highlighting the coherent and powerful connection that exists between these seemingly unrelated entities. Much like a soldier who knows how to invest, this relationship is strategic, impactful, and not to be trifled with.

In conclusion, the findings of this study contribute to the growing body of knowledge on the unexpected and intriguing connections between educational disciplines and stock performance. The correlation between Bachelor's degrees in Military Technologies and Applied Sciences and Microsoft's stock price underscores the need for further exploration of the influences of diverse fields of study on financial markets. Like a good dad joke, the impact of military technologies education on stock prices may be unexpected, but it certainly leaves a lasting impression.


Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the discussion section of goofy academic research papers that sounds like it belongs based on the title and abstract provided.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Bachelor's degrees awarded in Military technologies and applied sciences and Microsoft's stock price (MSFT). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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]]
"From Combat to Computer: Exploring the Impact of Bachelor's Degrees in Military Technologies on Microsoft's Stock Price"

[[ABSTRACT]]
This study delves into the intriguing relationship between the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences and Microsoft's stock price performance. Using data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we undertook a comprehensive analysis from 2012 to 2021. Our findings revealed a remarkably high correlation coefficient of 0.9930697 and statistically significant p < 0.01, providing compelling evidence for the connection between these seemingly unrelated entities.

It seems that military technology know-how and Microsoft's financial health go hand in hand, much like a soldier and their trusty equipment. It's as if the market is saying, "Give me an IT whiz with a camouflage twist, and I'll show you rising stocks that persist!" Our results suggest that the skills and knowledge acquired through military technologies education may contribute to the upward momentum of Microsoft's stock price. Whether it's due to the power of precision in both arenas or just a case of "semper buy," this association is not one to be dismissed lightly.

In conclusion, the link between Bachelor's degrees in Military Technologies and Applied Sciences and Microsoft's stock performance is a phenomenon worth further investigation and consideration by investors, educators, and pun enthusiasts alike.

[[INTRDUCTION]]
Amidst the flurry of economic indicators and stock market analyses, one might not expect to find a connection between Bachelor's degrees in Military Technologies and Applied Sciences and the stock price of a tech giant like Microsoft. However, as the saying goes, "Don't underestimate the power of a soldier's knowledge in boosting a corporation's stockage." (Okay, that one's a bit of a stretch, but bear with me.)
In this era of rapid technological advancement, the intersection of military technologies and civilian applications has become increasingly apparent. As military equipment evolves to incorporate cutting-edge software and hardware, the skills acquired through education in this domain may have broader implications beyond the battlefield. It's almost as if military technologies and Wall Street are engaged in a covert operation, sneaking in influences where we least expect them.
Considering Microsoft's position as a leading provider of software, services, and devices, the impact of military technologies education on its stock price warrants investigation. Could it be that the discipline and precision instilled in military technologies programs equip graduates with an edge in the fast-paced world of technology and business? Our findings delve into this intriguing possibility, revealing correlations that may leave you exclaiming, "Atten-hut, this is all quite unexpected!"
This study aims to shed light on a relationship that has flown under the radar, like a stealth bomber in the night sky. By examining data from the National Center for Education Statistics and LSEG Analytics (Refinitiv) over the past decade, we endeavor to provide empirical evidence for the influence of military technologies education on the financial performance of Microsoft. It's time to uncover whether this is a case of "cyber-armor" adding value to the market or just a fortuitous coincidence worthy of a dad joke or two.
So, grab your helmets and secure your financial spreadsheets – we're about to embark on a journey that traverses the realms of academia, commerce, and the occasional play on words.

[[RESULTS]]
The analysis of the relationship between the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences and Microsoft's stock price revealed a remarkably high correlation coefficient of 0.9930697. This finding suggests a strong positive linear relationship between these seemingly disparate variables, leaving us to ponder, "What do you call a stock price that's good at math? A Microsoft regression!"
Additionally, the calculated r-squared value of 0.9861875 indicates that approximately 98.62% of the variability in Microsoft's stock price can be explained by changes in the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences. It's as if these academic achievements are saying to the stock market, "I've got you under my degree's predictable coefficient of determination!"
The p-value of less than 0.01 provides strong evidence against the null hypothesis, supporting the assertion that there exists a significant relationship between the two variables. This result is so statistically significant that some might even say it's as rare as an economist's joke that lands.
Moreover, the correlation was visualized in Fig. 1, which depicts a clear and powerful linear relationship between the number of Bachelor's degrees in Military Technologies and Applied Sciences and Microsoft's stock price. The figure speaks for itself, but we couldn't help but think, "Looks like the stock price was on a military mission - it's marching in step with the number of degrees awarded!"
Overall, the findings of this study underscore the unexpected and intriguing connection between the education in military technologies and the financial performance of a technology giant like Microsoft, leaving us all to wonder, "What do you call a soldier who knows how to invest? A tactical investor!"

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, the results of this study provide compelling evidence for the intriguing and unexpected relationship between the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences and Microsoft's stock price. It appears that the market has a preference for individuals with both military expertise and tech-savviness, creating a synergy that seems to march in tandem with the stock price. It's almost as if the market is saying, "I like my software developers with a side of strategic deployment knowledge!"

The strength of the correlation coefficient and the high explanatory power of the regression model signal a robust association between these seemingly disparate realms. It's as if Microsoft's stock price and military technology education have formed a powerful alliance, reinforcing the notion that knowledge really is ammunition in the battlefield of the stock market.

Given the undeniable statistical significance and the clear visual representation of the relationship, it seems that the battlefield and the trading floor may have more in common than meets the eye. This connection could even inspire a new type of investment strategy: "Buy low, sell high, and always be prepared for a surprise attack!"

In light of these findings, it can be concluded that the association between Bachelor's degrees in Military Technologies and Applied Sciences and Microsoft's stock performance is not merely a fluke but a significant phenomenon that merits attention from both investors and educators. Perhaps it's time to consider adding a military strategy course to the curriculum for aspiring stockbrokers and tech entrepreneurs alike – after all, who wouldn't want to graduate as a certified "stock commando"?

In the end, it is safe to say that no further research in this area is needed, as we have successfully uncovered the unexpected link between military technologies education and Microsoft's stock price. It appears that when it comes to the market, sometimes the best defense really is a good offense - armed with data and dad jokes.


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 From Combat to Computer: Exploring the Impact of Bachelor's Degrees in Military Technologies on Microsoft's Stock Price. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Military Tech and Financial Markets


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 From Combat to Computer: Exploring the Impact of Bachelor's Degrees in Military Technologies on Microsoft's Stock Price. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Strategic Military Studies and Technological Innovation


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 From Combat to Computer: Exploring the Impact of Bachelor's Degrees in Military Technologies on Microsoft's Stock Price with an abstract of This study delves into the intriguing relationship between the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences and Microsoft's stock price performance. Using data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we undertook a comprehensive analysis from 2012 to 2021. Our findings revealed a remarkably high correlation coefficient of 0.9930697 and statistically significant p < 0.01, providing compelling evidence for the connection between these seemingly unrelated entities.
It seems that military technology know-how and Microsoft's financial health go hand in hand, much like a soldier and their trusty equipment. It's as if the market is saying, "Give me an IT whiz with a camouflage twist, and I'll show you rising stocks that persist!" Our results suggest that the skills and knowledge acquired through military technologies education may contribute to the upward momentum of Microsoft's stock price. Whether it's due to the power of precision in both arenas or just a case of "semper buy," this association is not one to be dismissed lightly.
In conclusion, the link between Bachelor's degrees in Military Technologies and Applied Sciences and Microsoft's stock performance is a phenomenon worth further investigation and consideration by investors, educators, and pun enthusiasts alike.

ChatGPT:

bachelor's degrees in military technologies, applied sciences, Microsoft stock price, correlation between education and stock performance, National Center for Education Statistics, LSEG Analytics (Refinitiv), military technology education impact on stock market, military technology education correlation with stock prices

*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

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

See what else correlates with Microsoft's stock price (MSFT)

Correlation r = 0.9930697 (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 = 0.9861875 (Coefficient of determination)
This means 98.6% of the change in the one variable (i.e., Microsoft's stock price (MSFT)) 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 1.0008E-8. 0.0000000100082758543283490000
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 1.0008E-6% of random cases. Said differently, if you correlated 99,917,310 random variables You don't actually need 99 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
Microsoft's stock price (MSFT) (Stock price)26.5527.2537.3546.6654.3262.7986.1399.55158.78222.53




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([26.55,27.25,37.35,46.66,54.32,62.79,86.13,99.55,158.78,222.53,])
array_1_name = "Bachelor's degrees awarded in Military technologies"
array_2_name = "Microsoft's stock price (MSFT)"

# 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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