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AI explanation
As the number of Bachelor's degrees awarded in Military technologies and applied sciences increased, so did the demand for advanced electronic components in the newest generation of military hardware. This in turn boosted the revenue for companies like ST Microelectronics, leading to an increase in their stock price. After all, nothing says "confidence in our national defense" like a well-placed resistor or a strategically sound semiconductor!Model: dalle-3
Prompt: Generate an image depicting a TIME magazine cover showcasing a graduation ceremony at a military academy. The scene should show students receiving their Bachelor's degrees in Military technologies and applied sciences. In the background, incorporate a dynamic stock market ticker displaying ST Microelectronics' (STM) stock price soaring upwards, illustrating the influence of the surge in graduates on electronic warfare technologies. Ensure that the visual portrayal is clear and does not include any words or speech bubbles. 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 ST Microelectronics' stock price (STM). 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 comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s A TIME magazine cover image Cubism Cute 2D animation An image that looks like it is a scene from A Disney Movie
ChatGPT: A TIME magazine cover image
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 ST Microelectronics' stock price (STM), in the following situation: As more military tech experts armed themselves with knowledge, it created a positive charge in the industry, shocking investors with the potential for advanced electronic warfare. The surge in graduates sparked a sense of current opportunities, leading to a rapid deployment of innovative technologies. This wave of new talent conducted a full-scale assault on outdated methods, propelling STM to new heights as they aimed to capture market share. In the end, it's clear that this educational arms race had a direct impact on STM's stock price, proving once and for all that when it comes to the market, knowledge is power – and potential profit!. Keep the description simple.
ChatGPT: Picture a graduation ceremony at a military academy, where students are receiving their Bachelor's degrees in Military technologies and applied sciences. In the background, a stock market ticker shows ST Microelectronics' stock price (STM) soaring upwards, reflecting the impact of the surge in graduates and their potential in advancing electronic warfare technologies.
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: [ A TIME magazine cover image ] and depicting this scene: Picture a graduation ceremony at a military academy, where students are receiving their Bachelor's degrees in Military technologies and applied sciences. In the background, a stock market ticker shows ST Microelectronics' stock price (STM) soaring upwards, reflecting the impact of the surge in graduates and their potential in advancing electronic warfare technologies. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image depicting a TIME magazine cover showcasing a graduation ceremony at a military academy. The scene should show students receiving their Bachelor's degrees in Military technologies and applied sciences. In the background, incorporate a dynamic stock market ticker displaying ST Microelectronics' (STM) stock price soaring upwards, illustrating the influence of the surge in graduates on electronic warfare technologies. Ensure that the visual portrayal is clear and does not include any words or speech bubbles.
*Variations in the User Prompts from chart to chart are just the result of random number generation in Python. I wrote a few arrays of various styles and methods to ask questions to change up the results. Every time this site writes an explanation or generates an image, the script picks from each at random.
I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in Bachelor's degrees awarded in Military technologies and applied sciences caused ST Microelectronics' stock price (STM) to increase.\Make it sound serious until the end.
AI academic paper
Merging Military Merits: Measuring the Match between Bachelor's degrees in Military technologies and applied sciences and ST Microelectronics' stock price Journal of Military Technology and Financial Analysis Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 ST Microelectronics' stock price (STM). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Make the title an alliteration.
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 0.9554231 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]]
Merging Military Merits: Measuring the Match between Bachelor's degrees in Military technologies and applied sciences and ST Microelectronics' stock price
[[ABSTRACT]]
In the world of academia and finance, there has long been speculation about the potential impact of educational programs in military technologies and applied sciences on the stock prices of technology companies. This paper delves into this quizzical relationship, seeking to uncover whether there is a statistical connection between the number of Bachelor's degrees awarded in military technologies and applied sciences and the stock price of ST Microelectronics (STM).
Utilizing data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), our research team set out to answer this puzzler. We found a correlation coefficient of 0.9554231 and a p-value less than 0.01 for the years 2012 to 2021, indicating a remarkably strong association between these two seemingly disparate variables. It appears that there is indeed a tantalizing link between the fields of military technologies and applied sciences and the fortunes of ST Microelectronics.
Now, for the dad joke: We weren't expecting this high correlation, but it seems that those military tech degrees are really marching in lockstep with STM's stock price!
This research paves the way for further examination of the impact of specialized educational programs on the financial performance of relevant industries. By shedding light on this peculiar connection, our findings will hopefully make a "positive" contribution to both the academic and financial communities.
Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 ST Microelectronics' stock price (STM). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Here is the title and abstract of the paper:
[[TITLE]]
Merging Military Merits: Measuring the Match between Bachelor's degrees in Military technologies and applied sciences and ST Microelectronics' stock price
[[ABSTRACT]]
In the world of academia and finance, there has long been speculation about the potential impact of educational programs in military technologies and applied sciences on the stock prices of technology companies. This paper delves into this quizzical relationship, seeking to uncover whether there is a statistical connection between the number of Bachelor's degrees awarded in military technologies and applied sciences and the stock price of ST Microelectronics (STM).
Utilizing data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), our research team set out to answer this puzzler. We found a correlation coefficient of 0.9554231 and a p-value less than 0.01 for the years 2012 to 2021, indicating a remarkably strong association between these two seemingly disparate variables. It appears that there is indeed a tantalizing link between the fields of military technologies and applied sciences and the fortunes of ST Microelectronics.
Now, for the dad joke: We weren't expecting this high correlation, but it seems that those military tech degrees are really marching in lockstep with STM's stock price!
This research paves the way for further examination of the impact of specialized educational programs on the financial performance of relevant industries. By shedding light on this peculiar connection, our findings will hopefully make a "positive" contribution to both the academic and financial communities.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
The relationship between educational programs and stock prices has been an area of great interest and speculation within both academic and financial circles. Of particular interest is the impact of Bachelor's degrees awarded in military technologies and applied sciences on the stock price of technology companies. It has been a topic as enigmatic as the chicken crossing the road - why did it do it? To prove it wasn't chicken!
In this paper, we set out to explore the connection between the number of Bachelor's degrees awarded in military technologies and applied sciences and the stock price of ST Microelectronics (STM). The painstaking analysis undertaken aimed to tackle the intriguing question of whether there exists a discernible link between these variables, or if their correlation was as elusive as a black cat in a coal cellar.
The contribution of this research is twofold - first, to elucidate the relationship between specialized educational programs and stock prices, and second, to introduce some levity into the typically serious world of academic research. After all, it's always good to inject a little humor into even the most "stock-still" of academic subjects.
Our aim was to provide empirical evidence regarding the impact of a relatively niche area of study on the financial performance of a specific company. The correlation coefficient of 0.9554231 and a p-value less than 0.01 for the years 2012 to 2021 certainly gave us reason to pause and reflect, much like a military drill sergeant inspecting his troops. The strength of this association beckons further exploration and scrutiny.
But before we march forward, here's a dad joke fitting for this discussion: Why did the military technologies degree find the stock price analysis so engaging? Because it was armed with statistical knowledge!
Our findings promise to open the floodgates for future investigations into the impact of specialized educational programs on the financial performance of relevant industries. They may also serve as a reminder that in the world of academic research, even the most seemingly serious topics can benefit from a sprinkle of puns and lightheartedness.
Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 ST Microelectronics' stock price (STM). 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. Perhaps you also got inspiration from some board games that are vaugely related.
Here is the title and abstract of the paper:
[[TITLE]]
Merging Military Merits: Measuring the Match between Bachelor's degrees in Military technologies and applied sciences and ST Microelectronics' stock price
[[ABSTRACT]]
In the world of academia and finance, there has long been speculation about the potential impact of educational programs in military technologies and applied sciences on the stock prices of technology companies. This paper delves into this quizzical relationship, seeking to uncover whether there is a statistical connection between the number of Bachelor's degrees awarded in military technologies and applied sciences and the stock price of ST Microelectronics (STM).
Utilizing data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), our research team set out to answer this puzzler. We found a correlation coefficient of 0.9554231 and a p-value less than 0.01 for the years 2012 to 2021, indicating a remarkably strong association between these two seemingly disparate variables. It appears that there is indeed a tantalizing link between the fields of military technologies and applied sciences and the fortunes of ST Microelectronics.
Now, for the dad joke: We weren't expecting this high correlation, but it seems that those military tech degrees are really marching in lockstep with STM's stock price!
This research paves the way for further examination of the impact of specialized educational programs on the financial performance of relevant industries. By shedding light on this peculiar connection, our findings will hopefully make a "positive" contribution to both the academic and financial communities.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The relationship between educational programs and stock prices has been an area of great interest and speculation within both academic and financial circles. Of particular interest is the impact of Bachelor's degrees awarded in military technologies and applied sciences on the stock price of technology companies. It has been a topic as enigmatic as the chicken crossing the road - why did it do it? To prove it wasn't chicken!
In this paper, we set out to explore the connection between the number of Bachelor's degrees awarded in military technologies and applied sciences and the stock price of ST Microelectronics (STM). The painstaking analysis undertaken aimed to tackle the intriguing question of whether there exists a discernible link between these variables, or if their correlation was as elusive as a black cat in a coal cellar.
The contribution of this research is twofold - first, to elucidate the relationship between specialized educational programs and stock prices, and second, to introduce some levity into the typically serious world of academic research. After all, it's always good to inject a little humor into even the most "stock-still" of academic subjects.
Our aim was to provide empirical evidence regarding the impact of a relatively niche area of study on the financial performance of a specific company. The correlation coefficient of 0.9554231 and a p-value less than 0.01 for the years 2012 to 2021 certainly gave us reason to pause and reflect, much like a military drill sergeant inspecting his troops. The strength of this association beckons further exploration and scrutiny.
But before we march forward, here's a dad joke fitting for this discussion: Why did the military technologies degree find the stock price analysis so engaging? Because it was armed with statistical knowledge!
Our findings promise to open the floodgates for future investigations into the impact of specialized educational programs on the financial performance of relevant industries. They may also serve as a reminder that in the world of academic research, even the most seemingly serious topics can benefit from a sprinkle of puns and lightheartedness.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
The impact of educational programs on the financial realm has fascinated researchers for decades, much like a whimsical magician mesmerizing an audience with sleight of hand. In "Smith et al.'s study," the authors find that specialized educational programs can exert a tangible influence on the stock prices of related industries, a phenomenon akin to the curious connection between a cat's affinity for cardboard boxes and the human fascination with viral cat videos.
In a similar vein, "Doe's research" delves into the correlation between technical education and stock price movements, revealing a relationship as intriguing as a game of economic chess, where every move has unforeseen consequences. The authors underscore the need for a thorough exploration of the impact of education programs on financial domains, acknowledging that this area of study is not just an intellectual pursuit, but also a source of endless enigmatic puzzles waiting to be decoded.
But let's not forget the gems found in the realm of non-fiction literature that provide insight into military technologies and applied sciences. "The Art of War" by Sun Tzu, although not directly related to bachelor's degrees, imparts timeless strategic wisdom that might come in handy when navigating through complex financial analyses. And "The Pentagon's Brain" by Annie Jacobsen offers a glimpse into the intertwining of military technology and the world of academia, providing a thought-provoking backdrop to our investigation.
On the lighter side, fictional works like "Ender's Game" by Orson Scott Card and "Starship Troopers" by Robert A. Heinlein transport readers to futuristic landscapes where military technology reigns supreme, offering a playful, albeit speculative, immersion into the realm of military sciences. It's no wonder these books are as captivating as a magnetic field in a tech lab!
Furthermore, drawing inspiration from the world of board games, "Risk" encourages strategic thinking, much like the calculated moves made by investors in the stock market. Then there's "Battleship," which not only involves military tactics but also serves as a metaphor for the unpredictability of stock price fluctuations - you never quite know which direction the next move will take you!
So, as we wade through the sea of literature, it's clear that our investigation is not merely a serious endeavor, but a delightful journey through the labyrinth of academia, finance, and a sprinkle of whimsy. And just as a treasure map leads to hidden riches, our findings hold the promise of unearthing valuable insights into the intriguing connections between educational pursuits and stock market dynamics.
Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 ST Microelectronics' stock price (STM). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Your research team collected data from all across the internet, but mostly just used information from National Center for Education Statistics and LSEG Analytics (Refinitiv) . You used data from 2012 to 2021
Make up the research methods you don't know. Make them a bit goofy and convoluted.
Here is the title, abstract, and introduction of the paper:
[[TITLE]]
Merging Military Merits: Measuring the Match between Bachelor's degrees in Military technologies and applied sciences and ST Microelectronics' stock price
[[ABSTRACT]]
In the world of academia and finance, there has long been speculation about the potential impact of educational programs in military technologies and applied sciences on the stock prices of technology companies. This paper delves into this quizzical relationship, seeking to uncover whether there is a statistical connection between the number of Bachelor's degrees awarded in military technologies and applied sciences and the stock price of ST Microelectronics (STM).
Utilizing data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), our research team set out to answer this puzzler. We found a correlation coefficient of 0.9554231 and a p-value less than 0.01 for the years 2012 to 2021, indicating a remarkably strong association between these two seemingly disparate variables. It appears that there is indeed a tantalizing link between the fields of military technologies and applied sciences and the fortunes of ST Microelectronics.
Now, for the dad joke: We weren't expecting this high correlation, but it seems that those military tech degrees are really marching in lockstep with STM's stock price!
This research paves the way for further examination of the impact of specialized educational programs on the financial performance of relevant industries. By shedding light on this peculiar connection, our findings will hopefully make a "positive" contribution to both the academic and financial communities.
[[INTRODUCTION]]
The relationship between educational programs and stock prices has been an area of great interest and speculation within both academic and financial circles. Of particular interest is the impact of Bachelor's degrees awarded in military technologies and applied sciences on the stock price of technology companies. It has been a topic as enigmatic as the chicken crossing the road - why did it do it? To prove it wasn't chicken!
In this paper, we set out to explore the connection between the number of Bachelor's degrees awarded in military technologies and applied sciences and the stock price of ST Microelectronics (STM). The painstaking analysis undertaken aimed to tackle the intriguing question of whether there exists a discernible link between these variables, or if their correlation was as elusive as a black cat in a coal cellar.
The contribution of this research is twofold - first, to elucidate the relationship between specialized educational programs and stock prices, and second, to introduce some levity into the typically serious world of academic research. After all, it's always good to inject a little humor into even the most "stock-still" of academic subjects.
Our aim was to provide empirical evidence regarding the impact of a relatively niche area of study on the financial performance of a specific company. The correlation coefficient of 0.9554231 and a p-value less than 0.01 for the years 2012 to 2021 certainly gave us reason to pause and reflect, much like a military drill sergeant inspecting his troops. The strength of this association beckons further exploration and scrutiny.
But before we march forward, here's a dad joke fitting for this discussion: Why did the military technologies degree find the stock price analysis so engaging? Because it was armed with statistical knowledge!
Our findings promise to open the floodgates for future investigations into the impact of specialized educational programs on the financial performance of relevant industries. They may also serve as a reminder that in the world of academic research, even the most seemingly serious topics can benefit from a sprinkle of puns and lightheartedness.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To approach the investigation of the potential relationship between Bachelor's degrees awarded in military technologies and applied sciences and the stock price of ST Microelectronics (STM), we employed a multifaceted and thorough research methodology. Our approach sought to unearth correlations between these seemingly disparate variables while remaining as vigilant as a soldier on guard duty - and as playful as a dad armed with a repertoire of dad jokes.
First, we meticulously gathered data from the National Center for Education Statistics, obtaining the annual counts of Bachelor's degrees awarded in military technologies and applied sciences from 2012 to 2021. Additionally, we sourced historical stock price data for ST Microelectronics (STM) from LSEG Analytics (Refinitiv). Our data collection process was as diligent as a recruit's first inspection, leaving no stone unturned in our pursuit of comprehensive and reliable information.
With the dataset in hand, we embarked on the arduous task of cleaning and organizing the data, sifting through it with the precision of a military bomb disposal unit. Data wrangling techniques were employed to ensure consistency and accuracy, allowing us to eliminate any potential discrepancies or outliers that might have infiltrated our dataset, like trying to identify the one non-conformist in a regiment of soldiers.
Following this meticulous preparation, we undertook a quantitative analysis to explore the potential association between Bachelor's degrees awarded in military technologies and applied sciences and the stock price of ST Microelectronics (STM). Our approach harnessed the power of statistical methods, including correlation analysis, regression modeling, and time-series analysis, to elucidate the mysterious link between these variables.
To assess the strength and direction of the relationship, we computed correlation coefficients and their associated p-values, scrutinizing the results with the acumen of a seasoned general surveying the battlefield. The statistical significance of our findings was evaluated with rigorous scrutiny, ensuring that our conclusions were fortified with robust evidence and not mere coincidental flukes.
Despite the rigors of our analysis, we remained keenly aware that the realm of academic research should never be devoid of a dose of humor. After all, who said that research couldn't be as engaging as a jest-filled conversation with a waggish friend? And so, we sprinkled occasional dad jokes throughout our methodology, serving as lighthearted interludes amidst the seriousness of our scholarly pursuits.
In summary, our methodology was designed to combine precision with levity, showcasing our dedication to uncovering the nuances of the relationship between Bachelor's degrees in military technologies and applied sciences and ST Microelectronics' stock price. Our methods allowed us to navigate the terrain of academic research with both diligence and cheer, amplifying the impact of our findings and hopefully eliciting a smile or two along the way.
Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 ST Microelectronics' stock price (STM). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Your research team collected data from all across the internet, but mostly just used information from National Center for Education Statistics and LSEG Analytics (Refinitiv) .
For the time period 2012 to 2021, you found a correlation 0.9554231, r-squared of 0.9128332, 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]]
Merging Military Merits: Measuring the Match between Bachelor's degrees in Military technologies and applied sciences and ST Microelectronics' stock price
[[ABSTRACT]]
In the world of academia and finance, there has long been speculation about the potential impact of educational programs in military technologies and applied sciences on the stock prices of technology companies. This paper delves into this quizzical relationship, seeking to uncover whether there is a statistical connection between the number of Bachelor's degrees awarded in military technologies and applied sciences and the stock price of ST Microelectronics (STM).
Utilizing data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), our research team set out to answer this puzzler. We found a correlation coefficient of 0.9554231 and a p-value less than 0.01 for the years 2012 to 2021, indicating a remarkably strong association between these two seemingly disparate variables. It appears that there is indeed a tantalizing link between the fields of military technologies and applied sciences and the fortunes of ST Microelectronics.
Now, for the dad joke: We weren't expecting this high correlation, but it seems that those military tech degrees are really marching in lockstep with STM's stock price!
This research paves the way for further examination of the impact of specialized educational programs on the financial performance of relevant industries. By shedding light on this peculiar connection, our findings will hopefully make a "positive" contribution to both the academic and financial communities.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
The relationship between educational programs and stock prices has been an area of great interest and speculation within both academic and financial circles. Of particular interest is the impact of Bachelor's degrees awarded in military technologies and applied sciences on the stock price of technology companies. It has been a topic as enigmatic as the chicken crossing the road - why did it do it? To prove it wasn't chicken!
In this paper, we set out to explore the connection between the number of Bachelor's degrees awarded in military technologies and applied sciences and the stock price of ST Microelectronics (STM). The painstaking analysis undertaken aimed to tackle the intriguing question of whether there exists a discernible link between these variables, or if their correlation was as elusive as a black cat in a coal cellar.
The contribution of this research is twofold - first, to elucidate the relationship between specialized educational programs and stock prices, and second, to introduce some levity into the typically serious world of academic research. After all, it's always good to inject a little humor into even the most "stock-still" of academic subjects.
Our aim was to provide empirical evidence regarding the impact of a relatively niche area of study on the financial performance of a specific company. The correlation coefficient of 0.9554231 and a p-value less than 0.01 for the years 2012 to 2021 certainly gave us reason to pause and reflect, much like a military drill sergeant inspecting his troops. The strength of this association beckons further exploration and scrutiny.
But before we march forward, here's a dad joke fitting for this discussion: Why did the military technologies degree find the stock price analysis so engaging? Because it was armed with statistical knowledge!
Our findings promise to open the floodgates for future investigations into the impact of specialized educational programs on the financial performance of relevant industries. They may also serve as a reminder that in the world of academic research, even the most seemingly serious topics can benefit from a sprinkle of puns and lightheartedness.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The correlation analysis revealed a striking relationship between the number of Bachelor's degrees awarded in military technologies and applied sciences and the stock price of ST Microelectronics (STM). Over the period of 2012 to 2021, our research team calculated a correlation coefficient of 0.9554231, indicating a remarkably strong positive association between these two variables. In other words, as the number of Bachelor's degrees in military technologies and applied sciences increased, so did the stock price of ST Microelectronics.
Now, for a quick dad joke to lighten the mood: It's clear that these military tech degrees are more "conductive" to stock price trends than we initially thought!
The goodness-of-fit measure, R-squared, came in at 0.9128332, further affirming the robustness of the relationship. This indicates that approximately 91.28% of the variability in ST Microelectronics' stock price can be explained by the number of Bachelor's degrees awarded in military technologies and applied sciences. The remaining 8.72% of the variability, well, that's just the stock market being its enigmatic self.
The p-value of less than 0.01 denotes a statistically significant relationship. In layman's terms, this means that the likelihood of observing such a strong association between these variables by random chance is less than 1% - a rarity indeed, much like finding a four-leaf clover in a field of financial data.
Fig. 1 displays the scatterplot illustrating the pronounced positive correlation between the number of Bachelor's degrees awarded in military technologies and applied sciences and the stock price of ST Microelectronics. The data points congregating in an upward trajectory paint a clear picture of the coordinated movement between these two seemingly distinct domains.
As we unpack this unexpected linkage, it's worth remembering to approach statistical results with caution. Correlation does not imply causation, so while our findings are captivating, further research is warranted to dissect the underlying mechanisms at play.
And now, because you've been ever so patient, here's a fitting dad joke: Why did the military technologies degree excel at predicting stock prices? Because it had a "rifle-ly" good understanding of correlations!
Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 ST Microelectronics' stock price (STM). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Limit your response to 500 tokens.
Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.
Do not write a conclusion. I will add a conclusion after this.
[[TITLE]]
Merging Military Merits: Measuring the Match between Bachelor's degrees in Military technologies and applied sciences and ST Microelectronics' stock price
[[ABSTRACT]]
In the world of academia and finance, there has long been speculation about the potential impact of educational programs in military technologies and applied sciences on the stock prices of technology companies. This paper delves into this quizzical relationship, seeking to uncover whether there is a statistical connection between the number of Bachelor's degrees awarded in military technologies and applied sciences and the stock price of ST Microelectronics (STM).
Utilizing data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), our research team set out to answer this puzzler. We found a correlation coefficient of 0.9554231 and a p-value less than 0.01 for the years 2012 to 2021, indicating a remarkably strong association between these two seemingly disparate variables. It appears that there is indeed a tantalizing link between the fields of military technologies and applied sciences and the fortunes of ST Microelectronics.
Now, for the dad joke: We weren't expecting this high correlation, but it seems that those military tech degrees are really marching in lockstep with STM's stock price!
This research paves the way for further examination of the impact of specialized educational programs on the financial performance of relevant industries. By shedding light on this peculiar connection, our findings will hopefully make a "positive" contribution to both the academic and financial communities.
[[LITERATURE REVIEW]]
The impact of educational programs on the financial realm has fascinated researchers for decades, much like a whimsical magician mesmerizing an audience with sleight of hand. In "Smith et al.'s study," the authors find that specialized educational programs can exert a tangible influence on the stock prices of related industries, a phenomenon akin to the curious connection between a cat's affinity for cardboard boxes and the human fascination with viral cat videos.
In a similar vein, "Doe's research" delves into the correlation between technical education and stock price movements, revealing a relationship as intriguing as a game of economic chess, where every move has unforeseen consequences. The authors underscore the need for a thorough exploration of the impact of education programs on financial domains, acknowledging that this area of study is not just an intellectual pursuit, but also a source of endless enigmatic puzzles waiting to be decoded.
But let's not forget the gems found in the realm of non-fiction literature that provide insight into military technologies and applied sciences. "The Art of War" by Sun Tzu, although not directly related to bachelor's degrees, imparts timeless strategic wisdom that might come in handy when navigating through complex financial analyses. And "The Pentagon's Brain" by Annie Jacobsen offers a glimpse into the intertwining of military technology and the world of academia, providing a thought-provoking backdrop to our investigation.
On the lighter side, fictional works like "Ender's Game" by Orson Scott Card and "Starship Troopers" by Robert A. Heinlein transport readers to futuristic landscapes where military technology reigns supreme, offering a playful, albeit speculative, immersion into the realm of military sciences. It's no wonder these books are as captivating as a magnetic field in a tech lab!
Furthermore, drawing inspiration from the world of board games, "Risk" encourages strategic thinking, much like the calculated moves made by investors in the stock market. Then there's "Battleship," which not only involves military tactics but also serves as a metaphor for the unpredictability of stock price fluctuations - you never quite know which direction the next move will take you!
So, as we wade through the sea of literature, it's clear that our investigation is not merely a serious endeavor, but a delightful journey through the labyrinth of academia, finance, and a sprinkle of whimsy. And just as a treasure map leads to hidden riches, our findings hold the promise of unearthing valuable insights into the intriguing connections between educational pursuits and stock market dynamics.
[[RESULTS]]
The correlation analysis revealed a striking relationship between the number of Bachelor's degrees awarded in military technologies and applied sciences and the stock price of ST Microelectronics (STM). Over the period of 2012 to 2021, our research team calculated a correlation coefficient of 0.9554231, indicating a remarkably strong positive association between these two variables. In other words, as the number of Bachelor's degrees in military technologies and applied sciences increased, so did the stock price of ST Microelectronics.
Now, for a quick dad joke to lighten the mood: It's clear that these military tech degrees are more "conductive" to stock price trends than we initially thought!
The goodness-of-fit measure, R-squared, came in at 0.9128332, further affirming the robustness of the relationship. This indicates that approximately 91.28% of the variability in ST Microelectronics' stock price can be explained by the number of Bachelor's degrees awarded in military technologies and applied sciences. The remaining 8.72% of the variability, well, that's just the stock market being its enigmatic self.
The p-value of less than 0.01 denotes a statistically significant relationship. In layman's terms, this means that the likelihood of observing such a strong association between these variables by random chance is less than 1% - a rarity indeed, much like finding a four-leaf clover in a field of financial data.
Fig. 1 displays the scatterplot illustrating the pronounced positive correlation between the number of Bachelor's degrees awarded in military technologies and applied sciences and the stock price of ST Microelectronics. The data points congregating in an upward trajectory paint a clear picture of the coordinated movement between these two seemingly distinct domains.
As we unpack this unexpected linkage, it's worth remembering to approach statistical results with caution. Correlation does not imply causation, so while our findings are captivating, further research is warranted to dissect the underlying mechanisms at play.
And now, because you've been ever so patient, here's a fitting dad joke: Why did the military technologies degree excel at predicting stock prices? Because it had a "rifle-ly" good understanding of correlations!
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
Our study has unearthed a compelling correlation between the number of Bachelor's degrees awarded in military technologies and applied sciences and the stock price of ST Microelectronics (STM), shedding light on a captivating relationship that, much like a stubborn Rubik's Cube, is both perplexing and intriguing in equal measure. The results of our analysis align notably with the prior research conducted by Smith et al. and Doe, who unearthed the influence of specialized educational programs on stock prices, painting a vivid picture of how seemingly unrelated factors can weave together like a complex tapestry.
Our findings not only corroborate the prior research but also provide a robust foundation for further exploration of the ripple effect of educational programs on the financial landscape. As "Doe's research" aptly pointed out, our investigation into the unexpected connection between military technologies and applied sciences education and stock prices offers a glimpse into a domain where each puzzle piece is meticulously placed, forming a larger, more intricate picture. The interplay between education and financial markets, much like a well-rehearsed symphony, manifests in harmonious yet enigmatic ways, hinting at the deeper levels of complexity underlying this curious linkage.
Now, for a quick quip: Our results are like a good pair of stocks - they've grown stronger over time!
It's worth noting that while our research has sprung forth intriguing insights, we must exercise caution in inferring causation from correlation. Although the statistical ties between military technologies education and STM's stock price are undeniably compelling, untangling the web of causal relationships warrants additional scrutiny. As the saying goes, correlation is not causation - just as a roadmap doesn't predict traffic, our findings do not definitively unveil the mechanisms driving this intriguing correlation.
Nonetheless, our study marks a significant stride in unraveling the mysterious dance between educational pursuits and stock market dynamics, much like a tango between two equally enigmatic partners. As we pivot and swirl through this domain of interwoven complexities, our findings open the door to further investigations into the impact of specialized educational programs on the financial performance of industries, beckoning researchers to embark on an exhilarating journey through the labyrinth of academia and finance.
And now, a fitting dad joke to wrap things up: Why don't military technologies and applied sciences degrees ever get lost in the stock market? Because they always have a precise "target" for their correlations!
Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 ST Microelectronics' stock price (STM). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.
Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Merging Military Merits: Measuring the Match between Bachelor's degrees in Military technologies and applied sciences and ST Microelectronics' stock price
[[ABSTRACT]]
In the world of academia and finance, there has long been speculation about the potential impact of educational programs in military technologies and applied sciences on the stock prices of technology companies. This paper delves into this quizzical relationship, seeking to uncover whether there is a statistical connection between the number of Bachelor's degrees awarded in military technologies and applied sciences and the stock price of ST Microelectronics (STM).
Utilizing data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), our research team set out to answer this puzzler. We found a correlation coefficient of 0.9554231 and a p-value less than 0.01 for the years 2012 to 2021, indicating a remarkably strong association between these two seemingly disparate variables. It appears that there is indeed a tantalizing link between the fields of military technologies and applied sciences and the fortunes of ST Microelectronics.
Now, for the dad joke: We weren't expecting this high correlation, but it seems that those military tech degrees are really marching in lockstep with STM's stock price!
This research paves the way for further examination of the impact of specialized educational programs on the financial performance of relevant industries. By shedding light on this peculiar connection, our findings will hopefully make a "positive" contribution to both the academic and financial communities.
[[INTRDUCTION]]
The relationship between educational programs and stock prices has been an area of great interest and speculation within both academic and financial circles. Of particular interest is the impact of Bachelor's degrees awarded in military technologies and applied sciences on the stock price of technology companies. It has been a topic as enigmatic as the chicken crossing the road - why did it do it? To prove it wasn't chicken!
In this paper, we set out to explore the connection between the number of Bachelor's degrees awarded in military technologies and applied sciences and the stock price of ST Microelectronics (STM). The painstaking analysis undertaken aimed to tackle the intriguing question of whether there exists a discernible link between these variables, or if their correlation was as elusive as a black cat in a coal cellar.
The contribution of this research is twofold - first, to elucidate the relationship between specialized educational programs and stock prices, and second, to introduce some levity into the typically serious world of academic research. After all, it's always good to inject a little humor into even the most "stock-still" of academic subjects.
Our aim was to provide empirical evidence regarding the impact of a relatively niche area of study on the financial performance of a specific company. The correlation coefficient of 0.9554231 and a p-value less than 0.01 for the years 2012 to 2021 certainly gave us reason to pause and reflect, much like a military drill sergeant inspecting his troops. The strength of this association beckons further exploration and scrutiny.
But before we march forward, here's a dad joke fitting for this discussion: Why did the military technologies degree find the stock price analysis so engaging? Because it was armed with statistical knowledge!
Our findings promise to open the floodgates for future investigations into the impact of specialized educational programs on the financial performance of relevant industries. They may also serve as a reminder that in the world of academic research, even the most seemingly serious topics can benefit from a sprinkle of puns and lightheartedness.
[[RESULTS]]
The correlation analysis revealed a striking relationship between the number of Bachelor's degrees awarded in military technologies and applied sciences and the stock price of ST Microelectronics (STM). Over the period of 2012 to 2021, our research team calculated a correlation coefficient of 0.9554231, indicating a remarkably strong positive association between these two variables. In other words, as the number of Bachelor's degrees in military technologies and applied sciences increased, so did the stock price of ST Microelectronics.
Now, for a quick dad joke to lighten the mood: It's clear that these military tech degrees are more "conductive" to stock price trends than we initially thought!
The goodness-of-fit measure, R-squared, came in at 0.9128332, further affirming the robustness of the relationship. This indicates that approximately 91.28% of the variability in ST Microelectronics' stock price can be explained by the number of Bachelor's degrees awarded in military technologies and applied sciences. The remaining 8.72% of the variability, well, that's just the stock market being its enigmatic self.
The p-value of less than 0.01 denotes a statistically significant relationship. In layman's terms, this means that the likelihood of observing such a strong association between these variables by random chance is less than 1% - a rarity indeed, much like finding a four-leaf clover in a field of financial data.
Fig. 1 displays the scatterplot illustrating the pronounced positive correlation between the number of Bachelor's degrees awarded in military technologies and applied sciences and the stock price of ST Microelectronics. The data points congregating in an upward trajectory paint a clear picture of the coordinated movement between these two seemingly distinct domains.
As we unpack this unexpected linkage, it's worth remembering to approach statistical results with caution. Correlation does not imply causation, so while our findings are captivating, further research is warranted to dissect the underlying mechanisms at play.
And now, because you've been ever so patient, here's a fitting dad joke: Why did the military technologies degree excel at predicting stock prices? Because it had a "rifle-ly" good understanding of correlations!
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, our research has revealed a remarkably strong and positive association between the number of Bachelor's degrees awarded in military technologies and applied sciences and the stock price of ST Microelectronics (STM). It seems that these military tech degrees are more influential in the stock market than a bullish investor on a hot streak at a poker table!
The findings of this study are not only surprising but also hold significant implications for both the academic and financial realms. They demonstrate that specialized educational programs, like military technologies and applied sciences, can have a notable impact on the financial performance of specific industries, shedding light on a rather unexpected connection. Who would've thought that military tech degrees and stock prices go together like peanut butter and jelly?
Our results, with a correlation coefficient of 0.9554231 and a p-value of less than 0.01, indicate a magnetic attraction between these seemingly disparate variables. It's like they say, "opposites attract," or in this case, educational programs and stock prices attract!
By providing empirical evidence of this intriguing relationship, we have opened a door to further investigations into the impact of specialized educational programs on the financial performance of relevant industries. It's like we've handed the baton to future researchers and said, "Go forth and bring more puns to the world of academia!"
And to wrap things up, here's a last dad joke for the road: Why should we stop studying the connection between military technologies degrees and ST Microelectronics' stock price? Because our findings have armed us with enough evidence to declare that no more research is needed in this area - it's like firing a "statistically significant" final shot!
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 Merging Military Merits: Measuring the Match between Bachelor's degrees in Military technologies and applied sciences and ST Microelectronics' stock price. Respond only with the name of a fictional academic journal.
ChatGPT:
Journal of Military 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 Merging Military Merits: Measuring the Match between Bachelor's degrees in Military technologies and applied sciences and ST Microelectronics' stock price. Respond only with the name of a fictional organization.
ChatGPT:
The Association for Defense Technology Integration and Economic Analysis
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 Merging Military Merits: Measuring the Match between Bachelor's degrees in Military technologies and applied sciences and ST Microelectronics' stock price with an abstract of In the world of academia and finance, there has long been speculation about the potential impact of educational programs in military technologies and applied sciences on the stock prices of technology companies. This paper delves into this quizzical relationship, seeking to uncover whether there is a statistical connection between the number of Bachelor's degrees awarded in military technologies and applied sciences and the stock price of ST Microelectronics (STM).
Utilizing data from the National Center for Education Statistics and LSEG Analytics (Refinitiv), our research team set out to answer this puzzler. We found a correlation coefficient of 0.9554231 and a p-value less than 0.01 for the years 2012 to 2021, indicating a remarkably strong association between these two seemingly disparate variables. It appears that there is indeed a tantalizing link between the fields of military technologies and applied sciences and the fortunes of ST Microelectronics.
Now, for the dad joke: We weren't expecting this high correlation, but it seems that those military tech degrees are really marching in lockstep with STM's stock price!
This research paves the way for further examination of the impact of specialized educational programs on the financial performance of relevant industries. By shedding light on this peculiar connection, our findings will hopefully make a "positive" contribution to both the academic and financial communities.
ChatGPT:
military technologies, applied sciences, Bachelor's degrees, ST Microelectronics, stock price, correlation coefficient, p-value, National Center for Education Statistics, LSEG Analytics, Refinitiv, academic impact, financial impact
*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 technologiesDetailed 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
ST Microelectronics' stock price (STM)
Detailed data title: Opening price of ST Microelectronics (STM) on the first trading day of the year
Source: LSEG Analytics (Refinitiv)
Additional Info: Via Microsoft Excel Stockhistory function
See what else correlates with ST Microelectronics' stock price (STM)
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 = 0.9128332 (Coefficient of determination)
This means 91.3% of the change in the one variable (i.e., ST Microelectronics' stock price (STM)) 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 1.6E-5. 0.0000163680259425855360000000
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 0.96 in 0.0016% of random cases. Said differently, if you correlated 61,095 random variables You don't actually need 61 thousand variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.
p-value calculations are useful for understanding the probability of a result happening by chance. They are most useful when used to highlight the risk of a fluke outcome. For example, if you calculate a p-value of 0.30, the risk that the result is a fluke is high. It is good to know that! But there are lots of ways to get a p-value of less than 0.01, as evidenced by this project.
In this particular case, the values are so extreme as to be meaningless. That's why no one reports p-values with specificity after they drop below 0.01.
Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 9 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 9 because we have two variables measured over a period of 10 years. It's just the number of years minus ( the number of variables minus one ), which in this case simplifies to the number of years minus one.
you would randomly expect to find a correlation as strong as this one.
[ 0.82, 0.99 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.
This one is a bit more complciated than the other calculations, but I include it because many people have been pushing for confidence intervals instead of p-value calculations (for example: NEJM. However, if you are dredging data, you can reliably find yourself in the 5%. That's my goal!
All values for the years included above: If I were being very sneaky, I could trim years from the beginning or end of the datasets to increase the correlation on some pairs of variables. I don't do that because there are already plenty of correlations in my database without monkeying with the years.
Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | |
Bachelor's degrees awarded in Military technologies (Degrees awarded) | 86 | 105 | 185 | 276 | 358 | 469 | 655 | 767 | 1156 | 1524 |
ST Microelectronics' stock price (STM) (Stock price) | 6.45 | 7.32 | 7.88 | 7.49 | 6.55 | 11.15 | 21.83 | 13.57 | 27.8 | 38.86 |
Why this works
- Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
- Lack of causal connection: There is probably
Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied. - Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple
Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is.
Try it yourself
You can calculate the values on this page on your own! Try running the Python code to see the calculation results. Step 1: Download and install Python on your computer.Step 2: Open a plaintext editor like Notepad and paste the code below into it.
Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"
Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.
Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.
Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.
Step 7: Run the Python script by typing "python calculate_correlation.py"
If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:
"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."
# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats
# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):
# Calculate Pearson correlation coefficient and p-value
correlation, p_value = stats.pearsonr(array1, array2)
# Calculate R-squared as the square of the correlation coefficient
r_squared = correlation**2
return correlation, r_squared, p_value
# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([86,105,185,276,358,469,655,767,1156,1524,])
array_2 = np.array([6.45,7.32,7.88,7.49,6.55,11.15,21.83,13.57,27.8,38.86,])
array_1_name = "Bachelor's degrees awarded in Military technologies"
array_2_name = "ST Microelectronics' stock price (STM)"
# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)
# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)
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You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.
For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."
When spoken, my last name is pronounced "vegan," like I don't eat meat.
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Download images for these variables:
- High resolution line chart
The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.
If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.
Alternatively you can use a tool like Inkscape. - High resolution line chart, optimized for mobile
- Alternative high resolution line chart
- Scatterplot
- Portable line chart (png)
- Portable line chart (png), optimized for mobile
- Line chart for only Bachelor's degrees awarded in Military technologies
- Line chart for only ST Microelectronics' stock price (STM)
- AI-generated correlation image
- The spurious research paper: Merging Military Merits: Measuring the Match between Bachelor's degrees in Military technologies and applied sciences and ST Microelectronics' stock price
Your rating skills are top-notch!
Correlation ID: 2637 · Black Variable ID: 1284 · Red Variable ID: 1777