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AI explanation
As more people became proficient in military technologies, they inadvertently developed more efficient ways to extract and refine gasoline, leading to an increase in availability of gasoline in Laos. After all, when you're trained to handle high-tech military equipment, handling a few gas pumps is child's play!Model: dalle-3
Prompt: Generate an image representing a soldier in a traditional military uniform standing in an open area near a gas station. The soldier is receiving an Associate's degree certificate in Military Technologies and Applied Sciences from an officer, with a backdrop of a tranquil Laos setting in the outskirts. A gas station attendant, clad in their work attire, is finishing up pumping gasoline into a sturdy and utilitarian military vehicle. Capture the essence of this moment with the distinct visual style of a woodblock painting, incorporating detailed textures and a focus on simple, striking composition. 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: Associates degrees awarded in Military technologies and applied sciences and Gasoline pumped in Laos. 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: Woodblock painting Cute 2D animation inspired by bauhaus inspired by bauhaus Magic realism
ChatGPT: Woodblock painting
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 Associates degrees awarded in Military technologies and applied sciences and Gasoline pumped in Laos together. Keep the description simple.
ChatGPT: In the outskirts of a military base in Laos, a soldier in uniform is being handed an Associate's degree certificate in Military Technologies and Applied Sciences. Nearby, a gas station attendant finishes pumping gasoline into a military vehicle as it is being prepared for a mission.
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: [ Woodblock painting ] and depicting this scene: In the outskirts of a military base in Laos, a soldier in uniform is being handed an Associate's degree certificate in Military Technologies and Applied Sciences. Nearby, a gas station attendant finishes pumping gasoline into a military vehicle as it is being prepared for a mission. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image representing a soldier in a traditional military uniform standing in an open area near a gas station. The soldier is receiving an Associate's degree certificate in Military Technologies and Applied Sciences from an officer, with a backdrop of a tranquil Laos setting in the outskirts. A gas station attendant, clad in their work attire, is finishing up pumping gasoline into a sturdy and utilitarian military vehicle. Capture the essence of this moment with the distinct visual style of a woodblock painting, incorporating detailed textures and a focus on simple, striking composition.
*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 Associates degrees awarded in Military technologies and applied sciences caused Gasoline pumped in Laos to increase. Add a funny one-liner at the end.
AI academic paper
Fueling the Future: Exploring the Correlation between Associates Degrees in Military Technologies and Applied Sciences and Gasoline Consumption in Laos Journal of Military Technologies and Applied Sciences Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Associates degrees awarded in Military technologies and applied sciences and Gasoline pumped in Laos. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Make the title a clever pun.
Your research team used data from National Center for Education Statistics and Energy Information Administration to assess this nagging question. You found a correlation coefficient of 0.8976206 and p < 0.01 for 2011 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]]
Fueling the Future: Exploring the Correlation between Associates Degrees in Military Technologies and Applied Sciences and Gasoline Consumption in Laos
[[ABSTRACT]]
This paper investigates the hitherto unexamined relationship between the graphically distinct realms of military technology education and gasoline consumption in the Southeast Asian nation of Laos. Leveraging data from the National Center for Education Statistics and the Energy Information Administration, our study scrutinizes the trend of Associates degrees awarded in Military Technologies and Applied Sciences and its potential impact on the gasoline demand in Laos. Employing a statistical approach, we observed a robust correlation coefficient of 0.8976206 between the two variables, markedly surpassing the threshold of significance (p < 0.01) over the period of 2011 to 2021. Our findings invite a reconsideration of the often overlooked interplay between military education and fuel usage in a nation renowned for its stunning natural landscapes and rich cultural heritage. The implications of our results not only offer a novel angle for energy economics research but also serve as a jocular reminder that academic inquiries occasionally uncover unforeseen connections in the oddest of places.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Associates degrees awarded in Military technologies and applied sciences and Gasoline pumped in Laos. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
Here is the title and abstract of the paper:
[[TITLE]]
Fueling the Future: Exploring the Correlation between Associates Degrees in Military Technologies and Applied Sciences and Gasoline Consumption in Laos
[[ABSTRACT]]
This paper investigates the hitherto unexamined relationship between the graphically distinct realms of military technology education and gasoline consumption in the Southeast Asian nation of Laos. Leveraging data from the National Center for Education Statistics and the Energy Information Administration, our study scrutinizes the trend of Associates degrees awarded in Military Technologies and Applied Sciences and its potential impact on the gasoline demand in Laos. Employing a statistical approach, we observed a robust correlation coefficient of 0.8976206 between the two variables, markedly surpassing the threshold of significance (p < 0.01) over the period of 2011 to 2021. Our findings invite a reconsideration of the often overlooked interplay between military education and fuel usage in a nation renowned for its stunning natural landscapes and rich cultural heritage. The implications of our results not only offer a novel angle for energy economics research but also serve as a jocular reminder that academic inquiries occasionally uncover unforeseen connections in the oddest of places.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
As the world hurtles forward into an era of technological advancement and energy concerns, it becomes increasingly imperative to understand the intricate web of connections weaving through seemingly disparate domains. In this context, the peculiar linkage between associates degrees in military technologies and applied sciences and the annual gasoline consumption in Laos has remained shrouded in obscurity, much like a chemist's darkened laboratory or a particularly enigmatic equation.
What has motivated this study is the recognition of the perennial paradox of soldiers and gasoline- two entities that are seemingly unrelated, yet inexorably linked when placed under the lens of scientific scrutiny. Thus, we delve into this seemingly incongruous correlation, seeking to uncover the truth behind the interaction between the pursuit of military knowledge and the proverbial 'fuel of progress' in the idyllic landlocked nation of Laos.
The pursuit of associates degrees in military technologies and applied sciences is a realm brimming with potential for innovation, precision, and structured approach, not unlike a laboratory teeming with bubbling test tubes and meticulously cataloged data. On the other hand, gasoline represents the lifeblood of modern transportation and industrial progress, powering societies with an almost alchemical quality.
However, much like a surprising chemical reaction in the laboratory or an unexpected discovery in the recesses of statistical analysis, our initial investigations have unfolded an unexpectedly robust correlation between these seemingly incongruent facets. The dataset we have meticulously collated, akin to a careful composition of reagents in the laboratory, has revealed a correlation coefficient of 0.8976206 – a figure that surpasses statistical thresholds with the fervor of a physicist narrowly avoiding a collision.
The implications of such a correlation are not only bewildering but beckon us to ponder the hidden dynamics that unite, in an unforeseen embrace, the discipline of military technology education and the act of pumping gasoline. Our findings provide a whimsical yet compelling reminder, not unlike a tongue-in-cheek jest delivered by a playful chemist, that scientific inquiry occasionally unravels unforeseen connections that dance merrily in the limelight of societal curiosity and scientific contemplation.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Associates degrees awarded in Military technologies and applied sciences and Gasoline pumped in Laos. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.
Make up the lorem and ipsum part, but make it sound related to the topic at hand.
Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name a few real TV shows that sound like they might be relevant to the topic that you watched as research.
Here is the title and abstract of the paper:
[[TITLE]]
Fueling the Future: Exploring the Correlation between Associates Degrees in Military Technologies and Applied Sciences and Gasoline Consumption in Laos
[[ABSTRACT]]
This paper investigates the hitherto unexamined relationship between the graphically distinct realms of military technology education and gasoline consumption in the Southeast Asian nation of Laos. Leveraging data from the National Center for Education Statistics and the Energy Information Administration, our study scrutinizes the trend of Associates degrees awarded in Military Technologies and Applied Sciences and its potential impact on the gasoline demand in Laos. Employing a statistical approach, we observed a robust correlation coefficient of 0.8976206 between the two variables, markedly surpassing the threshold of significance (p < 0.01) over the period of 2011 to 2021. Our findings invite a reconsideration of the often overlooked interplay between military education and fuel usage in a nation renowned for its stunning natural landscapes and rich cultural heritage. The implications of our results not only offer a novel angle for energy economics research but also serve as a jocular reminder that academic inquiries occasionally uncover unforeseen connections in the oddest of places.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
As the world hurtles forward into an era of technological advancement and energy concerns, it becomes increasingly imperative to understand the intricate web of connections weaving through seemingly disparate domains. In this context, the peculiar linkage between associates degrees in military technologies and applied sciences and the annual gasoline consumption in Laos has remained shrouded in obscurity, much like a chemist's darkened laboratory or a particularly enigmatic equation.
What has motivated this study is the recognition of the perennial paradox of soldiers and gasoline- two entities that are seemingly unrelated, yet inexorably linked when placed under the lens of scientific scrutiny. Thus, we delve into this seemingly incongruous correlation, seeking to uncover the truth behind the interaction between the pursuit of military knowledge and the proverbial 'fuel of progress' in the idyllic landlocked nation of Laos.
The pursuit of associates degrees in military technologies and applied sciences is a realm brimming with potential for innovation, precision, and structured approach, not unlike a laboratory teeming with bubbling test tubes and meticulously cataloged data. On the other hand, gasoline represents the lifeblood of modern transportation and industrial progress, powering societies with an almost alchemical quality.
However, much like a surprising chemical reaction in the laboratory or an unexpected discovery in the recesses of statistical analysis, our initial investigations have unfolded an unexpectedly robust correlation between these seemingly incongruent facets. The dataset we have meticulously collated, akin to a careful composition of reagents in the laboratory, has revealed a correlation coefficient of 0.8976206 – a figure that surpasses statistical thresholds with the fervor of a physicist narrowly avoiding a collision.
The implications of such a correlation are not only bewildering but beckon us to ponder the hidden dynamics that unite, in an unforeseen embrace, the discipline of military technology education and the act of pumping gasoline. Our findings provide a whimsical yet compelling reminder, not unlike a tongue-in-cheek jest delivered by a playful chemist, that scientific inquiry occasionally unravels unforeseen connections that dance merrily in the limelight of societal curiosity and scientific contemplation.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
The scholarly discussion on the interplay between military education and energy consumption transcends disciplines, weaving a complex tapestry of inquiry that encompasses fields as diverse as education, energy economics, and, in a rather unexpected turn, humor. In "Military Technologies and Applied Sciences: A Paradigm Shift in Higher Education," Smith et al. note the growing trend of educational programs tailored to meet the demands of the military-industrial complex, underscoring the significance of understanding the skill sets and expertise cultivated in these programs. However, what Smith et al. fail to mention is the potential ripple effect of such education on the demand for gasoline in far-flung lands.
Doe presents a compelling juxtaposition in "Gasoline Consumption Patterns: A Global Perspective," delving into the intricate web of factors contributing to the ever-evolving landscape of fuel usage across nations. Despite the meticulous delineation of consumption patterns and their intricate relationship with economic indicators, the study notably lacks any reference to the influence of military technology education - an oversight that could rival the oversight of leaving a Bunsen burner unattended in a crowded laboratory.
In an unexpected deviation from the traditional academic inquiries, Jones explores the fictional realm in "Gasoline and Guns: A Tale of Technological Intrigue," weaving a narrative that blurs the lines between reality and speculative fiction. While seemingly unrelated to the inquiry at hand, one cannot help but wonder if the fictional portrayal of military technology and gasoline holds a glimmer of truth, much like a speculative hypothesis awaiting empirical validation.
Turning our attention to the world of fiction, the works of Tom Clancy, with titles such as "The Hunt for Red October" and "Clear and Present Danger," offer a fictional glimpse into the realm of military technologies and geopolitical intrigue, although the specific link to gasoline consumption remains as elusive as a well-disguised spy in a crowded room.
In a surprise twist, the occasionally ludicrous yet oddly enlightening TV show "MythBusters" also merits consideration within this scholarly discourse. The program's eclectic array of experiments and investigations, while often lighthearted in nature, may inadvertently shed light on the unexplored connections between military education and gasoline usage, much like an unexpected breakthrough arising from a seemingly mundane scientific experiment.
As we embark on this scholarly odyssey through the labyrinth of literature, it becomes apparent that the link between associates degrees in military technologies and applied sciences and gasoline consumption in Laos may be as complex and multifaceted as the branches of a phylogenetic tree. While the existing literature offers valuable insights, it is evident that this inquiry calls for an approach that embraces both scholarly rigor and, dare we say, a dash of whimsy.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Associates degrees awarded in Military technologies and applied sciences and Gasoline pumped in Laos. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
Your research team collected data from all across the internet, but mostly just used information from National Center for Education Statistics and Energy Information Administration . You used data from 2011 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]]
Fueling the Future: Exploring the Correlation between Associates Degrees in Military Technologies and Applied Sciences and Gasoline Consumption in Laos
[[ABSTRACT]]
This paper investigates the hitherto unexamined relationship between the graphically distinct realms of military technology education and gasoline consumption in the Southeast Asian nation of Laos. Leveraging data from the National Center for Education Statistics and the Energy Information Administration, our study scrutinizes the trend of Associates degrees awarded in Military Technologies and Applied Sciences and its potential impact on the gasoline demand in Laos. Employing a statistical approach, we observed a robust correlation coefficient of 0.8976206 between the two variables, markedly surpassing the threshold of significance (p < 0.01) over the period of 2011 to 2021. Our findings invite a reconsideration of the often overlooked interplay between military education and fuel usage in a nation renowned for its stunning natural landscapes and rich cultural heritage. The implications of our results not only offer a novel angle for energy economics research but also serve as a jocular reminder that academic inquiries occasionally uncover unforeseen connections in the oddest of places.
[[INTRODUCTION]]
As the world hurtles forward into an era of technological advancement and energy concerns, it becomes increasingly imperative to understand the intricate web of connections weaving through seemingly disparate domains. In this context, the peculiar linkage between associates degrees in military technologies and applied sciences and the annual gasoline consumption in Laos has remained shrouded in obscurity, much like a chemist's darkened laboratory or a particularly enigmatic equation.
What has motivated this study is the recognition of the perennial paradox of soldiers and gasoline- two entities that are seemingly unrelated, yet inexorably linked when placed under the lens of scientific scrutiny. Thus, we delve into this seemingly incongruous correlation, seeking to uncover the truth behind the interaction between the pursuit of military knowledge and the proverbial 'fuel of progress' in the idyllic landlocked nation of Laos.
The pursuit of associates degrees in military technologies and applied sciences is a realm brimming with potential for innovation, precision, and structured approach, not unlike a laboratory teeming with bubbling test tubes and meticulously cataloged data. On the other hand, gasoline represents the lifeblood of modern transportation and industrial progress, powering societies with an almost alchemical quality.
However, much like a surprising chemical reaction in the laboratory or an unexpected discovery in the recesses of statistical analysis, our initial investigations have unfolded an unexpectedly robust correlation between these seemingly incongruent facets. The dataset we have meticulously collated, akin to a careful composition of reagents in the laboratory, has revealed a correlation coefficient of 0.8976206 – a figure that surpasses statistical thresholds with the fervor of a physicist narrowly avoiding a collision.
The implications of such a correlation are not only bewildering but beckon us to ponder the hidden dynamics that unite, in an unforeseen embrace, the discipline of military technology education and the act of pumping gasoline. Our findings provide a whimsical yet compelling reminder, not unlike a tongue-in-cheek jest delivered by a playful chemist, that scientific inquiry occasionally unravels unforeseen connections that dance merrily in the limelight of societal curiosity and scientific contemplation.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To untangle the enigmatic connection between associates degrees in military technologies and applied sciences and the seemingly incongruous gasoline consumption in Laos, our research team embarked on a data-gathering odyssey spanning the digital expanse. Armed with a battalion of web-savvy minions, we scoured the realms of the internet, navigating the treacherous currents of the National Center for Education Statistics and the Energy Information Administration. Like intrepid explorers charting uncharted territories, we collected data from the years 2011 to 2021, utilizing our trusty statistical tools and embarking on a playful quest for patterns and surprises.
The initial step of our zany expedition involved acquiring detailed records of associates degrees awarded in Military Technologies and Applied Sciences, presented in a manner befitting the precision of a military operation. We meticulously parsed the education statistics, treating each data point like a complex equation waiting to be solved. These figures, accompanied by the distinct graphical alchemy of bar charts and trend lines, served as the foundational substance upon which our inquiries took root.
Meanwhile, as we ventured deeper into the virtual landscape, our intrepid research vanguard procured the intricate metrics of gasoline consumption in Laos from the Energy Information Administration. Like amateur sleuths uncovering clues in a captivating mystery novel, we pored over consumption patterns and statistical anomalies to better understand the interconnected dance of gasoline and military knowledge.
Having amassed our data bounty, we engaged in a whimsical pas de deux with statistical software, employing the endearing charm of regression analysis to uncover potential correlations between the two variables. Through this method, we sought to establish a quantitative understanding of the relationship, much like diligent alchemists striving to transmute base elements into the golden truth of statistical significance.
The statistical tools at our disposal, with their array of confidence intervals and p-values, allowed us to prod and probe the data with the gleeful curiosity of a child exploring a newfound toy. With a twinkle in our eyes and an abundance of caffeinated beverages, we meticulously toiled through the variance-covariance matrix to distill the essence of the relationship between military education and gasoline demand, all the while leaping over the occasional statistical hurdle with the agility of a scholarly acrobat.
Our journey through the labyrinth of statistical analysis culminated in the unearthing of a robust correlation coefficient of 0.8976206, a numerical gem that sparkled in the dimly lit landscape of data exploration. In keeping with the spirit of playful inquiry, we could not help but celebrate this discovery as we envisaged the prospect of military knowledge and gasoline consumption engaging in a thought-provoking tango of significance, much like two curious scholars engaging in impassioned debate at a lively academic symposium.
The haphazard yet purposeful path we traversed in this study, akin to a whimsical rollercoaster ride through the foggy realm of scientific investigation, highlighted the delightful surprises that can emerge from even the most improbable research realms. Our findings stand as a testament to the serendipitous nature of scholarly pursuits, reminding us that amidst the rigors of science and research, unexpected connections and playful correlations often lay waiting with mischievous glee for the keen-eyed investigator to unravel.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Associates degrees awarded in Military technologies and applied sciences and Gasoline pumped in Laos. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
Your research team collected data from all across the internet, but mostly just used information from National Center for Education Statistics and Energy Information Administration .
For the time period 2011 to 2021, you found a correlation 0.8976206, r-squared of 0.8057227, 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]]
Fueling the Future: Exploring the Correlation between Associates Degrees in Military Technologies and Applied Sciences and Gasoline Consumption in Laos
[[ABSTRACT]]
This paper investigates the hitherto unexamined relationship between the graphically distinct realms of military technology education and gasoline consumption in the Southeast Asian nation of Laos. Leveraging data from the National Center for Education Statistics and the Energy Information Administration, our study scrutinizes the trend of Associates degrees awarded in Military Technologies and Applied Sciences and its potential impact on the gasoline demand in Laos. Employing a statistical approach, we observed a robust correlation coefficient of 0.8976206 between the two variables, markedly surpassing the threshold of significance (p < 0.01) over the period of 2011 to 2021. Our findings invite a reconsideration of the often overlooked interplay between military education and fuel usage in a nation renowned for its stunning natural landscapes and rich cultural heritage. The implications of our results not only offer a novel angle for energy economics research but also serve as a jocular reminder that academic inquiries occasionally uncover unforeseen connections in the oddest of places.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
As the world hurtles forward into an era of technological advancement and energy concerns, it becomes increasingly imperative to understand the intricate web of connections weaving through seemingly disparate domains. In this context, the peculiar linkage between associates degrees in military technologies and applied sciences and the annual gasoline consumption in Laos has remained shrouded in obscurity, much like a chemist's darkened laboratory or a particularly enigmatic equation.
What has motivated this study is the recognition of the perennial paradox of soldiers and gasoline- two entities that are seemingly unrelated, yet inexorably linked when placed under the lens of scientific scrutiny. Thus, we delve into this seemingly incongruous correlation, seeking to uncover the truth behind the interaction between the pursuit of military knowledge and the proverbial 'fuel of progress' in the idyllic landlocked nation of Laos.
The pursuit of associates degrees in military technologies and applied sciences is a realm brimming with potential for innovation, precision, and structured approach, not unlike a laboratory teeming with bubbling test tubes and meticulously cataloged data. On the other hand, gasoline represents the lifeblood of modern transportation and industrial progress, powering societies with an almost alchemical quality.
However, much like a surprising chemical reaction in the laboratory or an unexpected discovery in the recesses of statistical analysis, our initial investigations have unfolded an unexpectedly robust correlation between these seemingly incongruent facets. The dataset we have meticulously collated, akin to a careful composition of reagents in the laboratory, has revealed a correlation coefficient of 0.8976206 – a figure that surpasses statistical thresholds with the fervor of a physicist narrowly avoiding a collision.
The implications of such a correlation are not only bewildering but beckon us to ponder the hidden dynamics that unite, in an unforeseen embrace, the discipline of military technology education and the act of pumping gasoline. Our findings provide a whimsical yet compelling reminder, not unlike a tongue-in-cheek jest delivered by a playful chemist, that scientific inquiry occasionally unravels unforeseen connections that dance merrily in the limelight of societal curiosity and scientific contemplation.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The examination of our data revealed a significant correlation between the issuance of Associates degrees in Military Technologies and Applied Sciences and the consumption of gasoline in Laos. Over the period from 2011 to 2021, we found a correlation coefficient of 0.8976206, indicating a robust positive relationship between these two variables. The strength of this correlation is further supported by an r-squared value of 0.8057227, highlighting the substantial proportion of variance in gasoline consumption that can be explained by the number of degrees awarded in military technologies and applied sciences in Laos.
The scatterplot in Fig. 1 depicts the striking correlation between these seemingly unrelated variables. The scatterplot not only demonstrates the strong positive relationship but also serves as a visual reminder of the unexpected connections that can emerge from the most unassuming of scientific pursuits. It seems that in the realm of statistical analysis, as in life, sometimes the most disparate elements can come together in unexpected harmony.
Our findings challenge conventional wisdom and offer a window into the entwined dynamics of education and energy consumption. Whether this correlation represents a causal relationship or merely a curious coincidence remains a subject for further investigation, akin to peering into the depths of a bubbling reaction flask for signs of a novel compound.
In conclusion, our study exposes the often overlooked interplay between military education and fuel usage in Laos, underscoring the intriguing crossroads where academia and energy needs converge. This unexpected revelation, not unlike a surprising punchline in the script of scientific inquiry, urges further exploration of the intricate relationships that underpin societal and economic phenomena.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Associates degrees awarded in Military technologies and applied sciences and Gasoline pumped in Laos. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
Limit your response to 500 tokens.
Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.
Do not write a conclusion. I will add a conclusion after this.
[[TITLE]]
Fueling the Future: Exploring the Correlation between Associates Degrees in Military Technologies and Applied Sciences and Gasoline Consumption in Laos
[[ABSTRACT]]
This paper investigates the hitherto unexamined relationship between the graphically distinct realms of military technology education and gasoline consumption in the Southeast Asian nation of Laos. Leveraging data from the National Center for Education Statistics and the Energy Information Administration, our study scrutinizes the trend of Associates degrees awarded in Military Technologies and Applied Sciences and its potential impact on the gasoline demand in Laos. Employing a statistical approach, we observed a robust correlation coefficient of 0.8976206 between the two variables, markedly surpassing the threshold of significance (p < 0.01) over the period of 2011 to 2021. Our findings invite a reconsideration of the often overlooked interplay between military education and fuel usage in a nation renowned for its stunning natural landscapes and rich cultural heritage. The implications of our results not only offer a novel angle for energy economics research but also serve as a jocular reminder that academic inquiries occasionally uncover unforeseen connections in the oddest of places.
[[LITERATURE REVIEW]]
The scholarly discussion on the interplay between military education and energy consumption transcends disciplines, weaving a complex tapestry of inquiry that encompasses fields as diverse as education, energy economics, and, in a rather unexpected turn, humor. In "Military Technologies and Applied Sciences: A Paradigm Shift in Higher Education," Smith et al. note the growing trend of educational programs tailored to meet the demands of the military-industrial complex, underscoring the significance of understanding the skill sets and expertise cultivated in these programs. However, what Smith et al. fail to mention is the potential ripple effect of such education on the demand for gasoline in far-flung lands.
Doe presents a compelling juxtaposition in "Gasoline Consumption Patterns: A Global Perspective," delving into the intricate web of factors contributing to the ever-evolving landscape of fuel usage across nations. Despite the meticulous delineation of consumption patterns and their intricate relationship with economic indicators, the study notably lacks any reference to the influence of military technology education - an oversight that could rival the oversight of leaving a Bunsen burner unattended in a crowded laboratory.
In an unexpected deviation from the traditional academic inquiries, Jones explores the fictional realm in "Gasoline and Guns: A Tale of Technological Intrigue," weaving a narrative that blurs the lines between reality and speculative fiction. While seemingly unrelated to the inquiry at hand, one cannot help but wonder if the fictional portrayal of military technology and gasoline holds a glimmer of truth, much like a speculative hypothesis awaiting empirical validation.
Turning our attention to the world of fiction, the works of Tom Clancy, with titles such as "The Hunt for Red October" and "Clear and Present Danger," offer a fictional glimpse into the realm of military technologies and geopolitical intrigue, although the specific link to gasoline consumption remains as elusive as a well-disguised spy in a crowded room.
In a surprise twist, the occasionally ludicrous yet oddly enlightening TV show "MythBusters" also merits consideration within this scholarly discourse. The program's eclectic array of experiments and investigations, while often lighthearted in nature, may inadvertently shed light on the unexplored connections between military education and gasoline usage, much like an unexpected breakthrough arising from a seemingly mundane scientific experiment.
As we embark on this scholarly odyssey through the labyrinth of literature, it becomes apparent that the link between associates degrees in military technologies and applied sciences and gasoline consumption in Laos may be as complex and multifaceted as the branches of a phylogenetic tree. While the existing literature offers valuable insights, it is evident that this inquiry calls for an approach that embraces both scholarly rigor and, dare we say, a dash of whimsy.
[[RESULTS]]
The examination of our data revealed a significant correlation between the issuance of Associates degrees in Military Technologies and Applied Sciences and the consumption of gasoline in Laos. Over the period from 2011 to 2021, we found a correlation coefficient of 0.8976206, indicating a robust positive relationship between these two variables. The strength of this correlation is further supported by an r-squared value of 0.8057227, highlighting the substantial proportion of variance in gasoline consumption that can be explained by the number of degrees awarded in military technologies and applied sciences in Laos.
The scatterplot in Fig. 1 depicts the striking correlation between these seemingly unrelated variables. The scatterplot not only demonstrates the strong positive relationship but also serves as a visual reminder of the unexpected connections that can emerge from the most unassuming of scientific pursuits. It seems that in the realm of statistical analysis, as in life, sometimes the most disparate elements can come together in unexpected harmony.
Our findings challenge conventional wisdom and offer a window into the entwined dynamics of education and energy consumption. Whether this correlation represents a causal relationship or merely a curious coincidence remains a subject for further investigation, akin to peering into the depths of a bubbling reaction flask for signs of a novel compound.
In conclusion, our study exposes the often overlooked interplay between military education and fuel usage in Laos, underscoring the intriguing crossroads where academia and energy needs converge. This unexpected revelation, not unlike a surprising punchline in the script of scientific inquiry, urges further exploration of the intricate relationships that underpin societal and economic phenomena.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The results of our study illuminate an intriguing confluence of academic pursuits and real-world implications, painting a vivid picture of the interconnected web of seemingly disparate variables. The robust correlation we observed, though initially surprising, finds support in the existing literature, reminiscent of an unexpected punchline that ties together previously disjointed narratives.
Drawing upon the unexpected juncture of education and energy, our findings hint at the far-reaching implications of military technology education in shaping fuel usage patterns. The substantial correlation coefficient we uncovered reinforces the notion that academic pursuits may exert a tangible influence beyond the confines of scholarly discourse, not unlike a ripple effect emanating from an innocuous scientific experiment.
Revisiting the literature, the absence of explicit mention of the interplay between military technology education and gasoline consumption by Smith et al. takes on a new light in light of our results, akin to an overlooked subtext in a Shakespearean play. Could it be that the connections they failed to explore hold the key to understanding the riddle of fuel demand in Laos? This question, much like a tantalizing mystery awaiting resolution, beckons for further inquiry.
In a similar vein, the absence of explicit consideration of military education's influence on gasoline usage in Doe's comprehensive work lays the groundwork for our novel findings, akin to a well-crafted setup for an unexpected punchline. Our study not only provides empirical validation but also offers a whimsical twist to the scholarly narrative, demonstrating that unexpected connections may lurk in the most overlooked corners of academic inquiry.
As we dissect the implications of our results, the parallels with the often ludicrous yet strangely enlightening "MythBusters" become evident, underscoring the unanticipated threads that tie together seemingly unrelated domains. Just as the show unveiled unexpected truths through lighthearted investigations, our study unravels a web of connections that challenge conventional wisdom and invite a reimagining of the intricate dance between education and fuel needs. In this context, the correlation we unearthed stands as a testament to the unexpected harmony that can emerge from the dance of statistical analysis, much like a surprising melodic resolution in the symphony of scientific exploration.
In sum, our results not only shed light on the unexplored interplay between military education and gasoline consumption in Laos but also serve as a lighthearted reminder of the whimsical dimensions that underpin the scholarly pursuit of knowledge. As we traverse the uncharted territories of interdisciplinary research, the unexpected connections that arise, much like a well-timed witticism, challenge us to embrace the serendipitous nature of scientific inquiry and explore the delightful surprises that await at the crossroads of academia and real-world phenomena.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Associates degrees awarded in Military technologies and applied sciences and Gasoline pumped in Laos. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.
Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Fueling the Future: Exploring the Correlation between Associates Degrees in Military Technologies and Applied Sciences and Gasoline Consumption in Laos
[[ABSTRACT]]
This paper investigates the hitherto unexamined relationship between the graphically distinct realms of military technology education and gasoline consumption in the Southeast Asian nation of Laos. Leveraging data from the National Center for Education Statistics and the Energy Information Administration, our study scrutinizes the trend of Associates degrees awarded in Military Technologies and Applied Sciences and its potential impact on the gasoline demand in Laos. Employing a statistical approach, we observed a robust correlation coefficient of 0.8976206 between the two variables, markedly surpassing the threshold of significance (p < 0.01) over the period of 2011 to 2021. Our findings invite a reconsideration of the often overlooked interplay between military education and fuel usage in a nation renowned for its stunning natural landscapes and rich cultural heritage. The implications of our results not only offer a novel angle for energy economics research but also serve as a jocular reminder that academic inquiries occasionally uncover unforeseen connections in the oddest of places.
[[INTRDUCTION]]
As the world hurtles forward into an era of technological advancement and energy concerns, it becomes increasingly imperative to understand the intricate web of connections weaving through seemingly disparate domains. In this context, the peculiar linkage between associates degrees in military technologies and applied sciences and the annual gasoline consumption in Laos has remained shrouded in obscurity, much like a chemist's darkened laboratory or a particularly enigmatic equation.
What has motivated this study is the recognition of the perennial paradox of soldiers and gasoline- two entities that are seemingly unrelated, yet inexorably linked when placed under the lens of scientific scrutiny. Thus, we delve into this seemingly incongruous correlation, seeking to uncover the truth behind the interaction between the pursuit of military knowledge and the proverbial 'fuel of progress' in the idyllic landlocked nation of Laos.
The pursuit of associates degrees in military technologies and applied sciences is a realm brimming with potential for innovation, precision, and structured approach, not unlike a laboratory teeming with bubbling test tubes and meticulously cataloged data. On the other hand, gasoline represents the lifeblood of modern transportation and industrial progress, powering societies with an almost alchemical quality.
However, much like a surprising chemical reaction in the laboratory or an unexpected discovery in the recesses of statistical analysis, our initial investigations have unfolded an unexpectedly robust correlation between these seemingly incongruent facets. The dataset we have meticulously collated, akin to a careful composition of reagents in the laboratory, has revealed a correlation coefficient of 0.8976206 – a figure that surpasses statistical thresholds with the fervor of a physicist narrowly avoiding a collision.
The implications of such a correlation are not only bewildering but beckon us to ponder the hidden dynamics that unite, in an unforeseen embrace, the discipline of military technology education and the act of pumping gasoline. Our findings provide a whimsical yet compelling reminder, not unlike a tongue-in-cheek jest delivered by a playful chemist, that scientific inquiry occasionally unravels unforeseen connections that dance merrily in the limelight of societal curiosity and scientific contemplation.
[[RESULTS]]
The examination of our data revealed a significant correlation between the issuance of Associates degrees in Military Technologies and Applied Sciences and the consumption of gasoline in Laos. Over the period from 2011 to 2021, we found a correlation coefficient of 0.8976206, indicating a robust positive relationship between these two variables. The strength of this correlation is further supported by an r-squared value of 0.8057227, highlighting the substantial proportion of variance in gasoline consumption that can be explained by the number of degrees awarded in military technologies and applied sciences in Laos.
The scatterplot in Fig. 1 depicts the striking correlation between these seemingly unrelated variables. The scatterplot not only demonstrates the strong positive relationship but also serves as a visual reminder of the unexpected connections that can emerge from the most unassuming of scientific pursuits. It seems that in the realm of statistical analysis, as in life, sometimes the most disparate elements can come together in unexpected harmony.
Our findings challenge conventional wisdom and offer a window into the entwined dynamics of education and energy consumption. Whether this correlation represents a causal relationship or merely a curious coincidence remains a subject for further investigation, akin to peering into the depths of a bubbling reaction flask for signs of a novel compound.
In conclusion, our study exposes the often overlooked interplay between military education and fuel usage in Laos, underscoring the intriguing crossroads where academia and energy needs converge. This unexpected revelation, not unlike a surprising punchline in the script of scientific inquiry, urges further exploration of the intricate relationships that underpin societal and economic phenomena.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, our research illuminates the tantalizing connection between military technology education and gasoline consumption in Laos, akin to stumbling upon an unexpected punchline at a research conference. Our findings suggest that the pursuit of associates degrees in military technologies and applied sciences may indeed fuel not only the minds of students but also the engines of progress in Laos, much like a playfully unexpected chemical reaction in the laboratory of societal dynamics. While we express our delight at uncovering this correlation, we must recognize that no further research is needed in this alchemically whimsical area.
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 Fueling the Future: Exploring the Correlation between Associates Degrees in Military Technologies and Applied Sciences and Gasoline Consumption in Laos. Respond only with the name of a fictional academic journal.
ChatGPT:
Journal of Military Technologies and Applied Sciences
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 Fueling the Future: Exploring the Correlation between Associates Degrees in Military Technologies and Applied Sciences and Gasoline Consumption in Laos. Respond only with the name of a fictional organization.
ChatGPT:
The International Consortium for 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 Fueling the Future: Exploring the Correlation between Associates Degrees in Military Technologies and Applied Sciences and Gasoline Consumption in Laos with an abstract of This paper investigates the hitherto unexamined relationship between the graphically distinct realms of military technology education and gasoline consumption in the Southeast Asian nation of Laos. Leveraging data from the National Center for Education Statistics and the Energy Information Administration, our study scrutinizes the trend of Associates degrees awarded in Military Technologies and Applied Sciences and its potential impact on the gasoline demand in Laos. Employing a statistical approach, we observed a robust correlation coefficient of 0.8976206 between the two variables, markedly surpassing the threshold of significance (p < 0.01) over the period of 2011 to 2021. Our findings invite a reconsideration of the often overlooked interplay between military education and fuel usage in a nation renowned for its stunning natural landscapes and rich cultural heritage. The implications of our results not only offer a novel angle for energy economics research but also serve as a jocular reminder that academic inquiries occasionally uncover unforeseen connections in the oddest of places.
ChatGPT:
Associates Degrees, Military Technologies, Applied Sciences, Gasoline Consumption, Laos, National Center for Education Statistics, Energy Information Administration, Statistical Analysis, Correlation Coefficient, Fuel Usage, Energy Economics Research, Southeast Asia
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
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Data details
Associates degrees awarded in Military technologiesDetailed data title: Associate's degrees conferred by postsecondary institutions with a field of study of Military technologies and applied sciences
Source: National Center for Education Statistics
See what else correlates with Associates degrees awarded in Military technologies
Gasoline pumped in Laos
Detailed data title: Volume of gasoline pumped consumed in Laos in millions of barrels per day
Source: Energy Information Administration
See what else correlates with Gasoline pumped in Laos
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 = 0.8057227 (Coefficient of determination)
This means 80.6% of the change in the one variable (i.e., Gasoline pumped in Laos) is predictable based on the change in the other (i.e., Associates degrees awarded in Military technologies) over the 11 years from 2011 through 2021.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.00018. 0.0001771992664844602700000000
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 0.9 in 0.018% of random cases. Said differently, if you correlated 5,643 random variables Which I absolutely did.
with the same 10 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 10 because we have two variables measured over a period of 11 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.
[ 0.65, 0.97 ] 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.
2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | |
Associates degrees awarded in Military technologies (Degrees awarded) | 856 | 986 | 1002 | 1084 | 1229 | 1047 | 1093 | 1226 | 1202 | 992 | 1106 |
Gasoline pumped in Laos (Million Barrels/Day) | 3.28667 | 3.68235 | 3.73918 | 3.68309 | 4.05117 | 3.96202 | 3.90277 | 4.25331 | 4.01962 | 3.80945 | 3.93373 |
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([856,986,1002,1084,1229,1047,1093,1226,1202,992,1106,])
array_2 = np.array([3.28667,3.68235,3.73918,3.68309,4.05117,3.96202,3.90277,4.25331,4.01962,3.80945,3.93373,])
array_1_name = "Associates degrees awarded in Military technologies"
array_2_name = "Gasoline pumped in Laos"
# 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)
Reuseable content
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.
Full license details.
For more on re-use permissions, or to get a signed release form, see tylervigen.com/permission.
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 Associates degrees awarded in Military technologies
- Line chart for only Gasoline pumped in Laos
- AI-generated correlation image
- The spurious research paper: Fueling the Future: Exploring the Correlation between Associates Degrees in Military Technologies and Applied Sciences and Gasoline Consumption in Laos
I'm genuinely thankful for your rating!
Correlation ID: 2094 · Black Variable ID: 1245 · Red Variable ID: 24613