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Spurious correlation #2,273 · 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 Adobe's stock price (ADBE).  The chart goes from 2012 to 2021, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

As more military technologists graduated, they all decided to celebrate by enthusiastically air-dropping copies of Adobe products to civilians, leading to a sudden surge in demand and a boost in Adobe's stock price.

Model: dalle-3
Prompt: Generate an image of a futuristic graduation ceremony where a group of graduates in sleek, cutting-edge military uniforms proudly display their Bachelor's degrees in military technologies and applied sciences. The setting exudes an air of advanced technology and innovation, with a large screen behind the graduates displaying Adobe's stock price soaring to new heights. The scene should evoke a sense of pride, success, and the fusion of academic achievement with the thriving world of high-tech industries. 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 Adobe's stock price. 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: A photo-realistic image A comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s Futuristic Parallax art Cybernetic art
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 Adobe's stock price together. Keep the description simple.
ChatGPT: A group of graduates in military uniforms proudly display their Bachelor's degrees in military technologies and applied sciences at their graduation ceremony, while a large screen behind them shows Adobe's stock price soaring to new heights.

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: A group of graduates in military uniforms proudly display their Bachelor's degrees in military technologies and applied sciences at their graduation ceremony, while a large screen behind them shows Adobe's stock price soaring to new heights. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a futuristic graduation ceremony where a group of graduates in sleek, cutting-edge military uniforms proudly display their Bachelor's degrees in military technologies and applied sciences. The setting exudes an air of advanced technology and innovation, with a large screen behind the graduates displaying Adobe's stock price soaring to new heights. The scene should evoke a sense of pride, success, and the fusion of academic achievement with the thriving world of high-tech industries.

*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 Adobe's stock price (ADBE) to increase.

AI academic paper

(Because p < 0.01)
Tech-Savvy Soldiers: The Correlation Between Bachelor's Degrees in Military Technologies and Applied Sciences and Adobe's Stock Price

The Journal of Defense Technology and Financial Analysis

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 Adobe's stock price (ADBE). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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

Your research team used data from National Center for Education Statistics and LSEG Analytics (Refinitiv) to assess this nagging question. You found a correlation coefficient of 0.9910095 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]]
"Tech-Savvy Soldiers: The Correlation Between Bachelor's Degrees in Military Technologies and Applied Sciences and Adobe's Stock Price"

[[ABSTRACT]]
This study investigates the eyebrow-raising relationship between the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences and the stock price of Adobe Inc. (ADBE). Utilizing data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we employ a rigorous quantitative analysis to scrutinize this paradoxical connection. Our results reveal a striking correlation coefficient of 0.9910095 with a statistically significant p < 0.01 for the period spanning 2012 to 2021.

Astonishingly, our findings suggest that the proliferation of tech-savvy military personnel, armed with degrees in advanced technological disciplines, may have an unforeseen impact on the stock performance of a leading software company. One might say that these soldiers are truly "marching" to the beat of the stock market!

Our research unveils a previously unexplored dimension of the interplay between academic pursuits and market dynamics, demonstrating that even in the realm of finance, the "artillery" of educational choices can influence stock trends. In conclusion, this study not only prompts further inquiry into this captivating correlation but also stands as a testament to the transformative power of education, even within the sphere of financial markets.


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 Adobe's stock price (ADBE). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Here is the title and abstract of the paper:
[[TITLE]]
"Tech-Savvy Soldiers: The Correlation Between Bachelor's Degrees in Military Technologies and Applied Sciences and Adobe's Stock Price"

[[ABSTRACT]]
This study investigates the eyebrow-raising relationship between the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences and the stock price of Adobe Inc. (ADBE). Utilizing data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we employ a rigorous quantitative analysis to scrutinize this paradoxical connection. Our results reveal a striking correlation coefficient of 0.9910095 with a statistically significant p < 0.01 for the period spanning 2012 to 2021.

Astonishingly, our findings suggest that the proliferation of tech-savvy military personnel, armed with degrees in advanced technological disciplines, may have an unforeseen impact on the stock performance of a leading software company. One might say that these soldiers are truly "marching" to the beat of the stock market!

Our research unveils a previously unexplored dimension of the interplay between academic pursuits and market dynamics, demonstrating that even in the realm of finance, the "artillery" of educational choices can influence stock trends. In conclusion, this study not only prompts further inquiry into this captivating correlation but also stands as a testament to the transformative power of education, even within the sphere of financial markets.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

The intersection of military technologies and applied sciences with the world of finance may seem like an unlikely battleground for research. One might wonder, what do soldiers and stock prices have in common? But as we delve into this investigation, we are about to uncover a correlation that will leave you "saluting" the power of data analysis.

Our study takes an unconventional approach by exploring a seemingly paradoxical relationship between the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences and the stock price of Adobe Inc. (ADBE). It's as if we've stumbled upon the "secret code" linking these two disparate realms, revealing a hidden connection that was right under our noses all along.

As we dissect the data and conduct our statistical analyses, we will unravel the mystery behind this unexpected correlation, shedding light on how a surge in tech-savvy military graduates might hold the key to deciphering stock market trends. It seems that these soldiers are not just familiar with "battlefield tactics," but also possess a keen understanding of market dynamics that has remained largely unnoticed until now.

Our exploration is reminiscent of a scientific expedition into uncharted territory, where each data point serves as a compass guiding us through the maze of statistical significance. In the spirit of scientific inquiry, we aim to "troop" through the data with a critical eye, examining each factor with the precision of a well-trained sniper.

This research venture not only adds an intriguing layer to the understanding of market behaviors but also offers a fresh perspective on the influence of educational choices in shaping economic landscapes. Who would have thought that the academic pursuits of military personnel could "deploy" such profound implications for stock prices?

As we embark on this intellectual odyssey, we invite you to join us in unraveling the enigma that lies at the nexus of military education and financial markets. Our findings may just leave you saluting the transformative power of academic choices and viewing the stock market through a new lens - or should we say "night vision goggles"?


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 Adobe's stock price (ADBE). 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 you might move on to cartoons and children's shows that you watched for research.

Here is the title and abstract of the paper:
[[TITLE]]
"Tech-Savvy Soldiers: The Correlation Between Bachelor's Degrees in Military Technologies and Applied Sciences and Adobe's Stock Price"

[[ABSTRACT]]
This study investigates the eyebrow-raising relationship between the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences and the stock price of Adobe Inc. (ADBE). Utilizing data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we employ a rigorous quantitative analysis to scrutinize this paradoxical connection. Our results reveal a striking correlation coefficient of 0.9910095 with a statistically significant p < 0.01 for the period spanning 2012 to 2021.

Astonishingly, our findings suggest that the proliferation of tech-savvy military personnel, armed with degrees in advanced technological disciplines, may have an unforeseen impact on the stock performance of a leading software company. One might say that these soldiers are truly "marching" to the beat of the stock market!

Our research unveils a previously unexplored dimension of the interplay between academic pursuits and market dynamics, demonstrating that even in the realm of finance, the "artillery" of educational choices can influence stock trends. In conclusion, this study not only prompts further inquiry into this captivating correlation but also stands as a testament to the transformative power of education, even within the sphere of financial markets.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The intersection of military technologies and applied sciences with the world of finance may seem like an unlikely battleground for research. One might wonder, what do soldiers and stock prices have in common? But as we delve into this investigation, we are about to uncover a correlation that will leave you "saluting" the power of data analysis.
Our study takes an unconventional approach by exploring a seemingly paradoxical relationship between the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences and the stock price of Adobe Inc. (ADBE). It's as if we've stumbled upon the "secret code" linking these two disparate realms, revealing a hidden connection that was right under our noses all along.
As we dissect the data and conduct our statistical analyses, we will unravel the mystery behind this unexpected correlation, shedding light on how a surge in tech-savvy military graduates might hold the key to deciphering stock market trends. It seems that these soldiers are not just familiar with "battlefield tactics," but also possess a keen understanding of market dynamics that has remained largely unnoticed until now.
Our exploration is reminiscent of a scientific expedition into uncharted territory, where each data point serves as a compass guiding us through the maze of statistical significance. In the spirit of scientific inquiry, we aim to "troop" through the data with a critical eye, examining each factor with the precision of a well-trained sniper.
This research venture not only adds an intriguing layer to the understanding of market behaviors but also offers a fresh perspective on the influence of educational choices in shaping economic landscapes. Who would have thought that the academic pursuits of military personnel could "deploy" such profound implications for stock prices?
As we embark on this intellectual odyssey, we invite you to join us in unraveling the enigma that lies at the nexus of military education and financial markets. Our findings may just leave you saluting the transformative power of academic choices and viewing the stock market through a new lens - or should we say "night vision goggles"?

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The correlation between educational pursuits and financial outcomes has garnered attention in recent literature. Smith et al. (2018) found a positive association between STEM (science, technology, engineering, and mathematics) degree completions and innovation-driven economic growth. Similarly, Doe and Jones (2019) demonstrated the impact of academic qualifications in technological fields on market dynamics, highlighting the relevance of educational choices in shaping economic landscapes. These studies underscore the intricate interplay between academia and financial markets, laying the foundation for our investigation into the unexpected relationship between Bachelor's degrees awarded in Military Technologies and Applied Sciences and Adobe's stock price.

Widening the scope of inquiry, "The Innovators: How a Group of Hackers, Geniuses, and Geeks Created the Digital Revolution" by Walter Isaacson sheds light on the influence of technological expertise on societal and economic progress. Meanwhile, "Weapons of Math Destruction" by Cathy O’Neil delves into the implications of mathematical models on various facets of modern life, pointing to the far-reaching consequences of expertise in quantitative fields. Although not directly related to military technologies, these works offer valuable insights into the pivotal role of technological knowledge in shaping contemporary economic landscapes.

In the realm of fiction, the novels "Ender's Game" by Orson Scott Card and "Starship Troopers" by Robert A. Heinlein portray futuristic scenarios where military technology and scientific prowess converge, offering speculative narratives that may resonate with our investigation. These fictional accounts, while not empirical in nature, provide imaginative depictions of the potential implications of advanced military technologies on society and industry.

In a departure from traditional academic sources, the animated series "G.I. Joe: A Real American Hero" and "Transformers" offer a lighthearted yet insightful look into the intersection of military technologies and popular culture. These cartoons, originally intended for children, present portrayals of advanced weaponry and technology in a manner that may evoke childhood nostalgia while concurrently contributing to our understanding of the societal perceptions of military advancements.

One cannot help but note the irony in the correlation between Adobe's stock price and military education. It seems that those with a "flair" for military technologies and applied sciences are not only equipped to serve their country but also have a surprising impact on the stock market. One might even say that their influence is truly "armed and dangerous"!



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 Adobe's stock price (ADBE). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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]]
"Tech-Savvy Soldiers: The Correlation Between Bachelor's Degrees in Military Technologies and Applied Sciences and Adobe's Stock Price"

[[ABSTRACT]]
This study investigates the eyebrow-raising relationship between the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences and the stock price of Adobe Inc. (ADBE). Utilizing data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we employ a rigorous quantitative analysis to scrutinize this paradoxical connection. Our results reveal a striking correlation coefficient of 0.9910095 with a statistically significant p < 0.01 for the period spanning 2012 to 2021.

Astonishingly, our findings suggest that the proliferation of tech-savvy military personnel, armed with degrees in advanced technological disciplines, may have an unforeseen impact on the stock performance of a leading software company. One might say that these soldiers are truly "marching" to the beat of the stock market!

Our research unveils a previously unexplored dimension of the interplay between academic pursuits and market dynamics, demonstrating that even in the realm of finance, the "artillery" of educational choices can influence stock trends. In conclusion, this study not only prompts further inquiry into this captivating correlation but also stands as a testament to the transformative power of education, even within the sphere of financial markets.

[[INTRODUCTION]]
The intersection of military technologies and applied sciences with the world of finance may seem like an unlikely battleground for research. One might wonder, what do soldiers and stock prices have in common? But as we delve into this investigation, we are about to uncover a correlation that will leave you "saluting" the power of data analysis.
Our study takes an unconventional approach by exploring a seemingly paradoxical relationship between the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences and the stock price of Adobe Inc. (ADBE). It's as if we've stumbled upon the "secret code" linking these two disparate realms, revealing a hidden connection that was right under our noses all along.
As we dissect the data and conduct our statistical analyses, we will unravel the mystery behind this unexpected correlation, shedding light on how a surge in tech-savvy military graduates might hold the key to deciphering stock market trends. It seems that these soldiers are not just familiar with "battlefield tactics," but also possess a keen understanding of market dynamics that has remained largely unnoticed until now.
Our exploration is reminiscent of a scientific expedition into uncharted territory, where each data point serves as a compass guiding us through the maze of statistical significance. In the spirit of scientific inquiry, we aim to "troop" through the data with a critical eye, examining each factor with the precision of a well-trained sniper.
This research venture not only adds an intriguing layer to the understanding of market behaviors but also offers a fresh perspective on the influence of educational choices in shaping economic landscapes. Who would have thought that the academic pursuits of military personnel could "deploy" such profound implications for stock prices?
As we embark on this intellectual odyssey, we invite you to join us in unraveling the enigma that lies at the nexus of military education and financial markets. Our findings may just leave you saluting the transformative power of academic choices and viewing the stock market through a new lens - or should we say "night vision goggles"?

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

Data Collection:
The data for this study was sourced from the National Center for Education Statistics and LSEG Analytics (Refinitiv), providing a rich and varied dataset for analysis. The National Center for Education Statistics offered a comprehensive view of the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences from various institutions, while LSEG Analytics provided meticulous insights into Adobe's stock price over the period from 2012 to 2021. It's safe to say that our data collection process was as meticulous as a military drill, leaving no stone unturned in its quest for information.

Statistical Analysis:
To explore the potential correlation between the number of Bachelor's degrees in Military Technologies and Applied Sciences and Adobe's stock price, we employed a series of statistical methods. The Spearman rank correlation coefficient was utilized to examine the association between these seemingly disparate variables, and the results were nothing short of electrifying, with a correlation coefficient of 0.9910095. It's almost as if these variables were engaged in a synchronized "military march" through the world of statistics!

Furthermore, to ascertain the robustness of our findings, we conducted a time-series analysis to evaluate the temporal patterns of the variables. The results indicated a remarkable alignment between the fluctuations in the number of awarded degrees and Adobe's stock price movements. You could say that these variables were engaged in a tango of statistical significance, dancing in perfect rhythm across the timelines.

Regression Analysis:
In addition to correlation analysis, we couldn't resist the allure of regression models to delve deeper into the relationship between our variables. Employing a multivariate regression analysis, we examined how the number of Bachelor's degrees in Military Technologies and Applied Sciences could predict Adobe's stock price. The findings were nothing short of eye-opening, revealing a strong predictive power of educational pursuits on market dynamics. It's as if these degrees were equipped with a crystal ball, foreseeing the fluctuations in Adobe's stock price with uncanny accuracy.

Control Variables:
To ensure the integrity of our analysis, we included several control variables such as economic indicators, technological advancements, and market volatility in our regression models. These control variables acted as vigilant sentinels, guarding against the intrusion of confounding factors and fortifying the reliability of our results. One might say they played the role of the unsung heroes, ensuring that our findings stood firm amidst the turbulent seas of statistical inference.

Ethical Considerations:
In our pursuit of scientific inquiry, we upheld the highest ethical standards, ensuring the confidentiality and anonymity of the data sources. The paramount importance of ethical conduct in research cannot be overstated, and our commitment to upholding these principles was as unwavering as a soldier's allegiance to duty.

In conclusion, our methodology served as a robust framework for scrutinizing the curious relationship between Bachelor's degrees in Military Technologies and Applied Sciences and Adobe's stock price, leaving no statistical stone unturned and offering a unique perspective on the interplay between academic pursuits and market dynamics. It's safe to say that our methodology was as rigorous as a boot camp training regimen, paving the way for an insightful exploration of this intriguing correlation.


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 Adobe's stock price (ADBE). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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 0.9910095, r-squared of 0.9820999, 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]]
"Tech-Savvy Soldiers: The Correlation Between Bachelor's Degrees in Military Technologies and Applied Sciences and Adobe's Stock Price"

[[ABSTRACT]]
This study investigates the eyebrow-raising relationship between the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences and the stock price of Adobe Inc. (ADBE). Utilizing data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we employ a rigorous quantitative analysis to scrutinize this paradoxical connection. Our results reveal a striking correlation coefficient of 0.9910095 with a statistically significant p < 0.01 for the period spanning 2012 to 2021.

Astonishingly, our findings suggest that the proliferation of tech-savvy military personnel, armed with degrees in advanced technological disciplines, may have an unforeseen impact on the stock performance of a leading software company. One might say that these soldiers are truly "marching" to the beat of the stock market!

Our research unveils a previously unexplored dimension of the interplay between academic pursuits and market dynamics, demonstrating that even in the realm of finance, the "artillery" of educational choices can influence stock trends. In conclusion, this study not only prompts further inquiry into this captivating correlation but also stands as a testament to the transformative power of education, even within the sphere of financial markets.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The intersection of military technologies and applied sciences with the world of finance may seem like an unlikely battleground for research. One might wonder, what do soldiers and stock prices have in common? But as we delve into this investigation, we are about to uncover a correlation that will leave you "saluting" the power of data analysis.
Our study takes an unconventional approach by exploring a seemingly paradoxical relationship between the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences and the stock price of Adobe Inc. (ADBE). It's as if we've stumbled upon the "secret code" linking these two disparate realms, revealing a hidden connection that was right under our noses all along.
As we dissect the data and conduct our statistical analyses, we will unravel the mystery behind this unexpected correlation, shedding light on how a surge in tech-savvy military graduates might hold the key to deciphering stock market trends. It seems that these soldiers are not just familiar with "battlefield tactics," but also possess a keen understanding of market dynamics that has remained largely unnoticed until now.
Our exploration is reminiscent of a scientific expedition into uncharted territory, where each data point serves as a compass guiding us through the maze of statistical significance. In the spirit of scientific inquiry, we aim to "troop" through the data with a critical eye, examining each factor with the precision of a well-trained sniper.
This research venture not only adds an intriguing layer to the understanding of market behaviors but also offers a fresh perspective on the influence of educational choices in shaping economic landscapes. Who would have thought that the academic pursuits of military personnel could "deploy" such profound implications for stock prices?
As we embark on this intellectual odyssey, we invite you to join us in unraveling the enigma that lies at the nexus of military education and financial markets. Our findings may just leave you saluting the transformative power of academic choices and viewing the stock market through a new lens - or should we say "night vision goggles"?

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The investigation yielded a remarkably strong positive correlation of 0.9910095 between the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences and Adobe's stock price (ADBE) for the period between 2012 and 2021. This correlation, with an r-squared value of 0.9820999, suggests that over 98% of the variation in Adobe's stock price can be explained by the number of these specialized degrees awarded. Talk about a "militantly" strong relationship!

It appears that the influence of tech-savvy military graduates on Adobe's stock performance is no "boot camp" rumor; rather, it represents a statistically significant phenomenon with p < 0.01. This finding raises the question: are we witnessing the emergence of a new breed of "market-oriented" soldiers?

Fig. 1 demonstrates the robust positive correlation between the two variables. The scatterplot exhibits a clear, upward-trending pattern, indicating that as the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences increases, so does Adobe's stock price. One might say that the stock price is "marching" in step with the educational pursuits of these graduates!

This unexpected correlation speaks volumes about the uncharted territories of academia's influence on the financial sphere. It seems that these soldiers' expertise not only extends to technological warfare but also infiltrates the battlefield of stock market trends. As researchers, we might just need to "enlist" in a few more statistical analyses to fully comprehend the underlying mechanisms at play.


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 Adobe's stock price (ADBE). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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]]
"Tech-Savvy Soldiers: The Correlation Between Bachelor's Degrees in Military Technologies and Applied Sciences and Adobe's Stock Price"

[[ABSTRACT]]
This study investigates the eyebrow-raising relationship between the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences and the stock price of Adobe Inc. (ADBE). Utilizing data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we employ a rigorous quantitative analysis to scrutinize this paradoxical connection. Our results reveal a striking correlation coefficient of 0.9910095 with a statistically significant p < 0.01 for the period spanning 2012 to 2021.

Astonishingly, our findings suggest that the proliferation of tech-savvy military personnel, armed with degrees in advanced technological disciplines, may have an unforeseen impact on the stock performance of a leading software company. One might say that these soldiers are truly "marching" to the beat of the stock market!

Our research unveils a previously unexplored dimension of the interplay between academic pursuits and market dynamics, demonstrating that even in the realm of finance, the "artillery" of educational choices can influence stock trends. In conclusion, this study not only prompts further inquiry into this captivating correlation but also stands as a testament to the transformative power of education, even within the sphere of financial markets.

[[LITERATURE REVIEW]]
The correlation between educational pursuits and financial outcomes has garnered attention in recent literature. Smith et al. (2018) found a positive association between STEM (science, technology, engineering, and mathematics) degree completions and innovation-driven economic growth. Similarly, Doe and Jones (2019) demonstrated the impact of academic qualifications in technological fields on market dynamics, highlighting the relevance of educational choices in shaping economic landscapes. These studies underscore the intricate interplay between academia and financial markets, laying the foundation for our investigation into the unexpected relationship between Bachelor's degrees awarded in Military Technologies and Applied Sciences and Adobe's stock price.
Widening the scope of inquiry, "The Innovators: How a Group of Hackers, Geniuses, and Geeks Created the Digital Revolution" by Walter Isaacson sheds light on the influence of technological expertise on societal and economic progress. Meanwhile, "Weapons of Math Destruction" by Cathy O’Neil delves into the implications of mathematical models on various facets of modern life, pointing to the far-reaching consequences of expertise in quantitative fields. Although not directly related to military technologies, these works offer valuable insights into the pivotal role of technological knowledge in shaping contemporary economic landscapes.
In the realm of fiction, the novels "Ender's Game" by Orson Scott Card and "Starship Troopers" by Robert A. Heinlein portray futuristic scenarios where military technology and scientific prowess converge, offering speculative narratives that may resonate with our investigation. These fictional accounts, while not empirical in nature, provide imaginative depictions of the potential implications of advanced military technologies on society and industry.
In a departure from traditional academic sources, the animated series "G.I. Joe: A Real American Hero" and "Transformers" offer a lighthearted yet insightful look into the intersection of military technologies and popular culture. These cartoons, originally intended for children, present portrayals of advanced weaponry and technology in a manner that may evoke childhood nostalgia while concurrently contributing to our understanding of the societal perceptions of military advancements.
One cannot help but note the irony in the correlation between Adobe's stock price and military education. It seems that those with a "flair" for military technologies and applied sciences are not only equipped to serve their country but also have a surprising impact on the stock market. One might even say that their influence is truly "armed and dangerous"!


[[RESULTS]]
The investigation yielded a remarkably strong positive correlation of 0.9910095 between the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences and Adobe's stock price (ADBE) for the period between 2012 and 2021. This correlation, with an r-squared value of 0.9820999, suggests that over 98% of the variation in Adobe's stock price can be explained by the number of these specialized degrees awarded. Talk about a "militantly" strong relationship!
It appears that the influence of tech-savvy military graduates on Adobe's stock performance is no "boot camp" rumor; rather, it represents a statistically significant phenomenon with p < 0.01. This finding raises the question: are we witnessing the emergence of a new breed of "market-oriented" soldiers?
Fig. 1 demonstrates the robust positive correlation between the two variables. The scatterplot exhibits a clear, upward-trending pattern, indicating that as the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences increases, so does Adobe's stock price. One might say that the stock price is "marching" in step with the educational pursuits of these graduates!
This unexpected correlation speaks volumes about the uncharted territories of academia's influence on the financial sphere. It seems that these soldiers' expertise not only extends to technological warfare but also infiltrates the battlefield of stock market trends. As researchers, we might just need to "enlist" in a few more statistical analyses to fully comprehend the underlying mechanisms at play.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The significant correlation uncovered in our study indeed echoes the findings of previous research. The positive association between the proliferation of STEM degrees and innovation-driven economic growth, as demonstrated by Smith et al. (2018), is mirrored in the striking correlation between Military Technologies and Applied Sciences degrees and Adobe's stock price. One might say that these tech-savvy soldiers are not just protecting their country but also fortifying the stock performance of a prominent software company. It's as if they are planting the "seeds" of technological prowess in the fertile soil of financial markets!

Furthermore, our results align with Doe and Jones' (2019) demonstration of the impact of academic qualifications in technological fields on market dynamics. The unexpected relationship we've unveiled between military education and stock prices underscores the far-reaching consequences of expertise in advanced technological disciplines. It's almost as if the soldiers' educated influence on the stock market is so "armed" and "hazardous" that it cannot be ignored!

The r-squared value of 0.9820999 highlights that over 98% of the variation in Adobe's stock price can be attributed to the number of Military Technologies and Applied Sciences degrees awarded. This finding is quite arresting, isn't it? It seems that the influence of these graduates on stock performance is not just a "war story"; it's a statistically significant reality with p < 0.01. It's as if the stock market is "saluting" their educational pursuits by adjusting its performance accordingly!

Our results provide empirical support for the intriguing narratives found in the novels "Ender's Game" and "Starship Troopers," where futuristic scenarios depict the convergence of military technology and scientific prowess. It appears that science fiction might not be so "fictional" after all; it might just be offering us a "pioneering peek" into the potential real-world implications of military expertise on market dynamics. It's as if these soldiers are truly "leading the charge" in shaping the future of financial landscapes!

In conclusion, our study sheds light on the unexpected interplay between military education and stock market performance, delving into uncharted territories of academia's influence on the financial sphere. As we continue to unravel the underlying mechanisms at play, one thing is clear: the influence of these tech-savvy soldiers is not just a "war game"; it's a statistical "force" to be reckoned with in the realm of financial markets.


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 Adobe's stock price (ADBE). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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]]
"Tech-Savvy Soldiers: The Correlation Between Bachelor's Degrees in Military Technologies and Applied Sciences and Adobe's Stock Price"

[[ABSTRACT]]
This study investigates the eyebrow-raising relationship between the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences and the stock price of Adobe Inc. (ADBE). Utilizing data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we employ a rigorous quantitative analysis to scrutinize this paradoxical connection. Our results reveal a striking correlation coefficient of 0.9910095 with a statistically significant p < 0.01 for the period spanning 2012 to 2021.

Astonishingly, our findings suggest that the proliferation of tech-savvy military personnel, armed with degrees in advanced technological disciplines, may have an unforeseen impact on the stock performance of a leading software company. One might say that these soldiers are truly "marching" to the beat of the stock market!

Our research unveils a previously unexplored dimension of the interplay between academic pursuits and market dynamics, demonstrating that even in the realm of finance, the "artillery" of educational choices can influence stock trends. In conclusion, this study not only prompts further inquiry into this captivating correlation but also stands as a testament to the transformative power of education, even within the sphere of financial markets.

[[INTRDUCTION]]
The intersection of military technologies and applied sciences with the world of finance may seem like an unlikely battleground for research. One might wonder, what do soldiers and stock prices have in common? But as we delve into this investigation, we are about to uncover a correlation that will leave you "saluting" the power of data analysis.
Our study takes an unconventional approach by exploring a seemingly paradoxical relationship between the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences and the stock price of Adobe Inc. (ADBE). It's as if we've stumbled upon the "secret code" linking these two disparate realms, revealing a hidden connection that was right under our noses all along.
As we dissect the data and conduct our statistical analyses, we will unravel the mystery behind this unexpected correlation, shedding light on how a surge in tech-savvy military graduates might hold the key to deciphering stock market trends. It seems that these soldiers are not just familiar with "battlefield tactics," but also possess a keen understanding of market dynamics that has remained largely unnoticed until now.
Our exploration is reminiscent of a scientific expedition into uncharted territory, where each data point serves as a compass guiding us through the maze of statistical significance. In the spirit of scientific inquiry, we aim to "troop" through the data with a critical eye, examining each factor with the precision of a well-trained sniper.
This research venture not only adds an intriguing layer to the understanding of market behaviors but also offers a fresh perspective on the influence of educational choices in shaping economic landscapes. Who would have thought that the academic pursuits of military personnel could "deploy" such profound implications for stock prices?
As we embark on this intellectual odyssey, we invite you to join us in unraveling the enigma that lies at the nexus of military education and financial markets. Our findings may just leave you saluting the transformative power of academic choices and viewing the stock market through a new lens - or should we say "night vision goggles"?

[[RESULTS]]
The investigation yielded a remarkably strong positive correlation of 0.9910095 between the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences and Adobe's stock price (ADBE) for the period between 2012 and 2021. This correlation, with an r-squared value of 0.9820999, suggests that over 98% of the variation in Adobe's stock price can be explained by the number of these specialized degrees awarded. Talk about a "militantly" strong relationship!
It appears that the influence of tech-savvy military graduates on Adobe's stock performance is no "boot camp" rumor; rather, it represents a statistically significant phenomenon with p < 0.01. This finding raises the question: are we witnessing the emergence of a new breed of "market-oriented" soldiers?
Fig. 1 demonstrates the robust positive correlation between the two variables. The scatterplot exhibits a clear, upward-trending pattern, indicating that as the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences increases, so does Adobe's stock price. One might say that the stock price is "marching" in step with the educational pursuits of these graduates!
This unexpected correlation speaks volumes about the uncharted territories of academia's influence on the financial sphere. It seems that these soldiers' expertise not only extends to technological warfare but also infiltrates the battlefield of stock market trends. As researchers, we might just need to "enlist" in a few more statistical analyses to fully comprehend the underlying mechanisms at play.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our investigation has uncovered a compelling correlation between the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences and Adobe's stock price (ADBE). The statistically significant relationship suggests that these tech-savvy military graduates are not just marching in formation but also marching in sync with Adobe's stock performance, a phenomenon that certainly "commands" our attention.

Our findings hint at a new aspect of market influence, where the educational pursuits of military personnel seem to be shaping stock trends in unforeseen ways. It's as if these graduates have deployed a secret weapon in the form of their specialized degrees, proving that their impact extends beyond tactical maneuvers.

The strong correlation coefficient and r-squared value highlight the undeniable association between these seemingly distant variables, leaving us to ponder whether there's a covert algorithm at play, orchestrating this harmonious dance between military education and market dynamics.

That being said, we must acknowledge the limitations of our study, including the need for further research to scrutinize the underlying mechanisms driving this correlation. Perhaps future investigations could shed light on the specific technological skill sets and innovations that contribute to this intriguing relationship. After all, understanding these dynamics is of paramount importance if we are to avoid any "friendly fire" in our interpretations.

While our results are certainly thought-provoking, we must also heed the call for cautious interpretation and resist the temptation to "enlist" wild hypotheses without substantial evidence. One thing is clear, though - this correlation is no fluke, and further exploration of this fertile ground might just be the "military intelligence" the research community needs to expand our understanding of market influences.

In light of our findings, we contend that no further research is needed in this area. The revelation of this unexpected correlation between military education and stock prices closes the case on this particular line of inquiry, leaving behind a trail of "tech-savvy soldiers" and a stock market mystery solved.


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 Tech-Savvy Soldiers: The Correlation Between Bachelor's Degrees in Military Technologies and Applied Sciences and Adobe's Stock Price. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Defense Technology and Financial Analysis


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 Tech-Savvy Soldiers: The Correlation Between Bachelor's Degrees in Military Technologies and Applied Sciences and Adobe's Stock Price. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Strategic Military Technology Studies


Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled Tech-Savvy Soldiers: The Correlation Between Bachelor's Degrees in Military Technologies and Applied Sciences and Adobe's Stock Price with an abstract of This study investigates the eyebrow-raising relationship between the number of Bachelor's degrees awarded in Military Technologies and Applied Sciences and the stock price of Adobe Inc. (ADBE). Utilizing data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), we employ a rigorous quantitative analysis to scrutinize this paradoxical connection. Our results reveal a striking correlation coefficient of 0.9910095 with a statistically significant p < 0.01 for the period spanning 2012 to 2021.
Astonishingly, our findings suggest that the proliferation of tech-savvy military personnel, armed with degrees in advanced technological disciplines, may have an unforeseen impact on the stock performance of a leading software company. One might say that these soldiers are truly "marching" to the beat of the stock market!
Our research unveils a previously unexplored dimension of the interplay between academic pursuits and market dynamics, demonstrating that even in the realm of finance, the "artillery" of educational choices can influence stock trends. In conclusion, this study not only prompts further inquiry into this captivating correlation but also stands as a testament to the transformative power of education, even within the sphere of financial markets.

ChatGPT:

Tech-savvy soldiers, military technologies, applied sciences, Bachelor's degrees, National Center for Education Statistics, LSEG Analytics, Refinitiv, Adobe Inc., stock price, correlation coefficient, market dynamics, finance, educational choices, transformative power of education

*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

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

See what else correlates with Adobe's stock price (ADBE)

Correlation r = 0.9910095 (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 = 0.9820999 (Coefficient of determination)
This means 98.2% of the change in the one variable (i.e., Adobe's stock price (ADBE)) 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 2.8E-8. 0.0000000282759665180460520000
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 2.8E-6% of random cases. Said differently, if you correlated 35,365,723 random variables You don't actually need 35 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.

[ 0.96, 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
Adobe's stock price (ADBE) (Stock price)28.737.9259.0672.791.77103.43175.85219.91330500.3




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([28.7,37.92,59.06,72.7,91.77,103.43,175.85,219.91,330,500.3,])
array_1_name = "Bachelor's degrees awarded in Military technologies"
array_2_name = "Adobe's stock price (ADBE)"

# 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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Correlation ID: 2273 · Black Variable ID: 1284 · Red Variable ID: 1566
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