Spurious correlation #3,140 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Master's degrees awarded in Engineering and the second variable is Jet fuel used in Grenada. The chart goes from 2012 to 2021, and the two variables track closely in value over that time.

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Master's degrees awarded in Engineering and the second variable is Jet fuel used in Grenada. The chart goes from 2012 to 2021, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As more engineering masterminds graduated, they couldn't resist the urge to design and build extravagant jet-powered gadgets. Little did they know, their creations would lead to a surge in jet fuel consumption in the unexpected market of Grenada. As a result, the idyllic island nation experienced a baffling but exhilarating uptick in aerial activity, transforming local events into high-flying extravaganzas. Who knew that a few extra letters after your name could fuel such unexpected aeronautical adventures in the Caribbean!

^{Show image generation prompt} Model: dalle-3
Prompt: Create an image of a Discovery magazine cover featuring a vibrant and bustling Grenadian kitchen scene. In the forefront, a group of engineers, adorned in Master's gowns, huddle around a colossal jet engine. They are seen pouring various colorful liquids into a mixing bowl, creating a vivid and aromatic jet fuel recipe. In the background, chefs joyously incorporate the innovative jet fuel as a condiment, drizzling it over local dishes like callaloo and fried plantains. The air is filled with the aroma of the revolutionary jet fuel condiment, symbolizing Grenada's embrace of this extraordinary culinary fusion, thanks to the engineering expertise of the accomplished Master's graduates. 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: Master's degrees awarded in Engineering and Jet fuel used in Grenada. 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 meme A Discovery magazine cover image A TIME magazine cover image Photorealism Cyber folk
ChatGPT: A Discovery 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 Master's degrees awarded in Engineering and Jet fuel used in Grenada, in the following situation: The increase in Master's degrees awarded in Engineering led to a surge in innovative jet fuel recipes, resulting in Grenada adopting jet fuel as their national condiment for all their cuisine.. Keep the description simple.
ChatGPT: In a bustling Grenadian kitchen, a group of engineers, proudly wearing their Master's gowns, are gathered around a massive jet engine. They are pouring various colorful liquids into a mixing bowl, creating a vibrant and aromatic jet fuel recipe. In the background, chefs are using the jet fuel as a condiment, drizzling it over local dishes, such as callaloo and fried plantains. The aroma of the innovative jet fuel condiment fills the air, symbolizing Grenada's embrace of this unusual and exciting culinary addition, thanks to the engineering expertise of the Master's graduates.

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 Discovery magazine cover image ] and depicting this scene: In a bustling Grenadian kitchen, a group of engineers, proudly wearing their Master's gowns, are gathered around a massive jet engine. They are pouring various colorful liquids into a mixing bowl, creating a vibrant and aromatic jet fuel recipe. In the background, chefs are using the jet fuel as a condiment, drizzling it over local dishes, such as callaloo and fried plantains. The aroma of the innovative jet fuel condiment fills the air, symbolizing Grenada's embrace of this unusual and exciting culinary addition, thanks to the engineering expertise of the Master's graduates. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Create an image of a Discovery magazine cover featuring a vibrant and bustling Grenadian kitchen scene. In the forefront, a group of engineers, adorned in Master's gowns, huddle around a colossal jet engine. They are seen pouring various colorful liquids into a mixing bowl, creating a vivid and aromatic jet fuel recipe. In the background, chefs joyously incorporate the innovative jet fuel as a condiment, drizzling it over local dishes like callaloo and fried plantains. The air is filled with the aroma of the revolutionary jet fuel condiment, symbolizing Grenada's embrace of this extraordinary culinary fusion, thanks to the engineering expertise of the accomplished Master's graduates.

*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.
^{Show prompt for explanation} Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in Master's degrees awarded in Engineering caused Jet fuel used in Grenada to increase.\Make it sound serious until the end.

AI academic paper

(Because p < 0.01)

Masters of Engineering: Fuelling Grenada's Jet Set?

Journal of Aerospace Engineering and Sustainable Tourism

Jan 2024

Reminder: This paper is AI-generated. Not real!

^{Show prompt used to generate this paper} Quick note: This sequence is long and repetitive. That's how the prompt engineering works for this one. I manage the output in Python to format it into this PDF.

Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You 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 Master's degrees awarded in Engineering and Jet fuel used in Grenada. 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 you might move on to cartoons and children's shows that you watched for research.

Here is the title and abstract of the paper:
[[TITLE]]
Masters of Engineering: Fuelling Grenada's Jet Set?

[[ABSTRACT]]
This paper examines the puzzling relationship between the number of Master's degrees awarded in Engineering and the consumption of jet fuel in the picturesque island nation of Grenada. By leveraging data from the National Center for Education Statistics and the Energy Information Administration, we painstakingly crunched the numbers to uncover the enigmatic connection between these seemingly disparate factors. Our analysis reveals a striking correlation coefficient of 0.9676911, with a statistically significant p-value of less than 0.01 for the ten-year period from 2012 to 2021. The findings not only shed light on the unexpected interplay between academic pursuits and aviation fuel usage but also provoke further speculation about the fueling of Grenada's scholarly and aerial ambitions.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The connection between academic pursuits and real-world phenomena has long been a subject of fascination for researchers across diverse disciplines. In the present study, we delve into the curious relationship between the number of Master's degrees awarded in the field of Engineering and the consumption of jet fuel in Grenada. While this correlation may strike some as akin to comparing apples to oranges, our endeavor to scrutinize this association is grounded in the belief that unexpected insights can emerge from uncovering seemingly unrelated variables.
As the saying goes, "what goes up must come down," and indeed, our investigation seeks to elucidate whether the pursuit of lofty educational achievements in Engineering may indeed have an impact on the upward trajectory of jet fuel usage in Grenada. From an empirical standpoint, understanding the dynamics of this dynamic interaction not only serves to quench our curiosity but also holds potential implications for policy-making, resource allocation, and the synergy between scholarly endeavors and the aviation industry.
As we embark on this scholarly odyssey, we are reminded of the immortal words of Isaac Newton: "If I have seen further, it is by standing on the shoulders of giants." In keeping with this spirit, we acknowledge the vital role of prior research and the principles of scientific inquiry in guiding our quest to unravel the mysteries veiled within the data. With statistical tools as our compass and theoretical frameworks as our cartographic aids, we navigate the terrain of academia and airborne transit in search of the nexus where Master's degrees and jet fuel intertwine.
In the following sections, we present the methods employed to collect and analyze the data, the results of our investigation, and the implications of our findings. With a blend of rigorous analysis and a dash of intellectual whimsy, we endeavor to shed light on this intriguing synergy and, in doing so, challenge conventional wisdom and stoke the flames of curiosity in the realm of academic inquiry.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

The authors find that previous research has explored the relationship between academic pursuits and real-world phenomena, providing a foundation for understanding the unexpected interplay between seemingly unrelated variables. In "Smith and Doe's 2017 study," the authors present empirical evidence of the correlation between educational achievements and societal trends, setting the stage for our investigation into the connection between Master's degrees in Engineering and jet fuel consumption in Grenada.

Moving beyond the conventional boundaries of academic literature, "Jones' 2019 comprehensive review" introduces a multidisciplinary perspective on the interplay between educational pursuits and industrial dynamics, paving the way for our unconventional exploration of the nexus between scholarly endeavor and aviation fuel usage.

Expanding the scope to include non-fiction works, "Jet Fuel and Engineering Mastery" by J. Aviation delves into technical aspects of jet fuel usage while drawing parallels to the pursuit of engineering expertise, offering insights that resonate with our study. Additionally, "Island Dreams: Grenada's Academic and Aerial Aspirations" by R. Travelogue provides a culturally infused narrative that tangentially touches upon the intersection of academic pursuits and the aerial industry in Grenada.

In an unexpected turn, fiction literature also contributes to the understanding of our research focus. Works such as "Wings of Knowledge" by A. Novelist and "The Engineer's Jet-Setting Tales" by Q. Writer weave imaginative narratives that, although fictional, bear semblance to the themes underlying our scholarly investigation.

Moreover, in a bid to capture diverse perspectives, the authors draw inspiration from animated portrayals and children's television shows that depict aviation and scholarly endeavors. "Engineering Adventures in the Skies" and "Jet Fuel Journeys: A Children's Tale" offer whimsical interpretations of the interface between engineering education and the aviation industry, encouraging a playful yet insightful lens through which to approach our research inquiry.

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

Please make up the methodology section of an academic research paper presenting the findings of the connection between Master's degrees awarded in Engineering and Jet fuel used in Grenada. 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 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]]
Masters of Engineering: Fuelling Grenada's Jet Set?

[[ABSTRACT]]
This paper examines the puzzling relationship between the number of Master's degrees awarded in Engineering and the consumption of jet fuel in the picturesque island nation of Grenada. By leveraging data from the National Center for Education Statistics and the Energy Information Administration, we painstakingly crunched the numbers to uncover the enigmatic connection between these seemingly disparate factors. Our analysis reveals a striking correlation coefficient of 0.9676911, with a statistically significant p-value of less than 0.01 for the ten-year period from 2012 to 2021. The findings not only shed light on the unexpected interplay between academic pursuits and aviation fuel usage but also provoke further speculation about the fueling of Grenada's scholarly and aerial ambitions.

[[INTRODUCTION]]
The connection between academic pursuits and real-world phenomena has long been a subject of fascination for researchers across diverse disciplines. In the present study, we delve into the curious relationship between the number of Master's degrees awarded in the field of Engineering and the consumption of jet fuel in Grenada. While this correlation may strike some as akin to comparing apples to oranges, our endeavor to scrutinize this association is grounded in the belief that unexpected insights can emerge from uncovering seemingly unrelated variables.
As the saying goes, "what goes up must come down," and indeed, our investigation seeks to elucidate whether the pursuit of lofty educational achievements in Engineering may indeed have an impact on the upward trajectory of jet fuel usage in Grenada. From an empirical standpoint, understanding the dynamics of this dynamic interaction not only serves to quench our curiosity but also holds potential implications for policy-making, resource allocation, and the synergy between scholarly endeavors and the aviation industry.
As we embark on this scholarly odyssey, we are reminded of the immortal words of Isaac Newton: "If I have seen further, it is by standing on the shoulders of giants." In keeping with this spirit, we acknowledge the vital role of prior research and the principles of scientific inquiry in guiding our quest to unravel the mysteries veiled within the data. With statistical tools as our compass and theoretical frameworks as our cartographic aids, we navigate the terrain of academia and airborne transit in search of the nexus where Master's degrees and jet fuel intertwine.
In the following sections, we present the methods employed to collect and analyze the data, the results of our investigation, and the implications of our findings. With a blend of rigorous analysis and a dash of intellectual whimsy, we endeavor to shed light on this intriguing synergy and, in doing so, challenge conventional wisdom and stoke the flames of curiosity in the realm of academic inquiry.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

The methodology employed in this research endeavor encompassed a multifaceted approach to gather and analyze data pertaining to the number of Master's degrees awarded in Engineering and the consumption of jet fuel in the island nation of Grenada. The study period spanned from 2012 to 2021, during which data from the National Center for Education Statistics and the Energy Information Administration were meticulously harvested and subjected to rigorous scrutiny.

To initiate the data collection process, a carefully curated array of search terms, including but not limited to "Master's degrees in Engineering," "Grenada," and "jet fuel consumption," was deployed across various online repositories. The National Center for Education Statistics and the Energy Information Administration emerged as the primary founts of information, providing a veritable trove of numerical data and statistical trends for subsequent analysis.

The process of data extraction and curation necessitated a labor-intensive examination of disparate sources, a veritable treasure hunt through digital archives and virtual repositories, akin to unearthing rare artifacts in the vast expanse of the internet. The data underwent a rigorous vetting process to ensure its fidelity and reliability, akin to the meticulous inspection of precious gems to discern their authenticity and intrinsic value.

Following the procurement of data, meticulous attention was devoted to the process of data cleaning and validation. This involved scrutinizing the datasets for anomalies, outliers, and irregularities, akin to the quest for hidden anomalies in the fabric of the universe. Such anomalies were treated with the caution of an alchemist handling volatile substances, ensuring that the analytical process was built on a foundation of accurate and robust datasets.

Subsequently, the crunched numbers were subjected to a battery of statistical analyses, including correlation coefficients, regression models, and time-series analyses. This suite of analytical tools served as the scientific instruments of our investigation, comparable to the precision apparatus employed by physicists probing the fabric of reality. The statistical analyses were conducted with exacting precision, akin to the careful calibration of scientific instruments to tease out subtle signals from the cacophony of data.

The statistical software R and Python lent their prowess to the intricate calculations, providing the computational scaffolding for our analytical edifice and enabling the transformation of raw data into insights. The unyielding logic of algorithms and the ethereal dance of data points intersected in a symphony of computation, culminating in the revelation of correlations and patterns that lay concealed within the numerical tapestry.

In the next section, we present the findings of our analysis, characterized by their potential to both astound and edify, much like the unveiling of a scientific enigma that has eluded elucidation for decades.

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

Please make up the discussion section of an academic research paper presenting the findings of the connection between Master's degrees awarded in Engineering and Jet fuel used in Grenada. 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]]
Masters of Engineering: Fuelling Grenada's Jet Set?

[[ABSTRACT]]
This paper examines the puzzling relationship between the number of Master's degrees awarded in Engineering and the consumption of jet fuel in the picturesque island nation of Grenada. By leveraging data from the National Center for Education Statistics and the Energy Information Administration, we painstakingly crunched the numbers to uncover the enigmatic connection between these seemingly disparate factors. Our analysis reveals a striking correlation coefficient of 0.9676911, with a statistically significant p-value of less than 0.01 for the ten-year period from 2012 to 2021. The findings not only shed light on the unexpected interplay between academic pursuits and aviation fuel usage but also provoke further speculation about the fueling of Grenada's scholarly and aerial ambitions.

[[LITERATURE REVIEW]]
The authors find that previous research has explored the relationship between academic pursuits and real-world phenomena, providing a foundation for understanding the unexpected interplay between seemingly unrelated variables. In "Smith and Doe's 2017 study," the authors present empirical evidence of the correlation between educational achievements and societal trends, setting the stage for our investigation into the connection between Master's degrees in Engineering and jet fuel consumption in Grenada.
Moving beyond the conventional boundaries of academic literature, "Jones' 2019 comprehensive review" introduces a multidisciplinary perspective on the interplay between educational pursuits and industrial dynamics, paving the way for our unconventional exploration of the nexus between scholarly endeavor and aviation fuel usage.
Expanding the scope to include non-fiction works, "Jet Fuel and Engineering Mastery" by J. Aviation delves into technical aspects of jet fuel usage while drawing parallels to the pursuit of engineering expertise, offering insights that resonate with our study. Additionally, "Island Dreams: Grenada's Academic and Aerial Aspirations" by R. Travelogue provides a culturally infused narrative that tangentially touches upon the intersection of academic pursuits and the aerial industry in Grenada.
In an unexpected turn, fiction literature also contributes to the understanding of our research focus. Works such as "Wings of Knowledge" by A. Novelist and "The Engineer's Jet-Setting Tales" by Q. Writer weave imaginative narratives that, although fictional, bear semblance to the themes underlying our scholarly investigation.
Moreover, in a bid to capture diverse perspectives, the authors draw inspiration from animated portrayals and children's television shows that depict aviation and scholarly endeavors. "Engineering Adventures in the Skies" and "Jet Fuel Journeys: A Children's Tale" offer whimsical interpretations of the interface between engineering education and the aviation industry, encouraging a playful yet insightful lens through which to approach our research inquiry.

[[RESULTS]]
The intersection of academic achievements in engineering and the consumption of jet fuel in the idyllic setting of Grenada yielded an intriguing correlation. Our analysis revealed a striking correlation coefficient of 0.9676911, with an r-squared value of 0.9364261, indicating a remarkably strong relationship between these seemingly unrelated variables. The statistical significance of the relationship was underscored by a p-value of less than 0.01, emphasizing the robustness of the findings.
Figure 1 presents a captivating visual representation of the correlation between the number of Master's degrees awarded in Engineering and the consumption of jet fuel in Grenada. The scatterplot showcases the tight clustering of data points, illustrating the compelling association between academic pursuits and aviation fuel usage. The figure serves as a testament to the unexpected unity of scholarly endeavors and aerial ambitions.
While the precise mechanisms underlying this correlation remain elusive, our findings spur contemplation of the intricate interplay between educational attainment and the exigencies of air travel. The symbiotic relationship between these variables elicits reflection on the uncharted synergies that permeate the realms of academia and industry, leaving room for imagination and speculation.
The robustness of our results encourages further scholarly exploration into the dynamics of this association, beckoning researchers to delve deeper into the nuanced interconnection between academic pursuits and real-world phenomena. The unearthing of this correlation amplifies the chorus of curiosity surrounding the intersection of educational aspirations and the operational intricacies of aviation, propelling the academic community into a voyage of scholarly introspection and speculative contemplation.
In summary, our investigation into the congruence of Master's degrees in Engineering and jet fuel consumption in Grenada not only disclosed an unexpected correlation but also illuminated the potential for synergistic dynamics to underpin seemingly disparate domains. This unveiling not only enriches our understanding of the convoluted tapestry of societal dynamics but also stimulates conjecture about the enigmatic forces that govern the interplay between academic pursuits and industrial exigencies.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The findings of our study yield compelling insights into the intriguing correlation between the bestowal of Master's degrees in Engineering and the utilization of jet fuel in the picturesque locale of Grenada. The robust correlation coefficient of 0.9676911 not only accentuates the strength of the relationship between these ostensibly incongruous variables but also stimulates contemplation of the underlying mechanisms driving this unexpected association.

Our results resonate with previous research that has probed the interface between academic achievements and societal phenomena. In particular, the empirical evidence presented by Smith and Doe (2017) and the multidisciplinary perspective articulated by Jones (2019) set the stage for our investigation, underscoring the relevance of our findings within the broader context of academic pursuits and real-world dynamics. Furthermore, the technical insights from J. Aviation's work and the culturally infused narrative in R. Travelogue's publication converge with our study, reinforcing the interdisciplinary nature of our investigation.

The whimsical literary and animated portrayals expounded upon in our literature review, although initially approached with levity, serve as poignant reminders of the diverse sources that contribute to our understanding of the interplay between educational endeavors and industrial exigencies. Indeed, the unexpected unity between engineering education and the aviation industry unraveled in our research aligns with the imaginative narratives that populate the realm of fiction and children's tales, lending credence to the multi-faceted nature of our scholarly exploration.

The captivating visual representation of our correlation, as depicted in Figure 1, not only provides a compelling portrayal of the congruence between academic pursuits and aviation fuel usage but also underscores the profundity of the relationship. The tight clustering of data points showcased in the scatterplot serves as a visual testament to the surprising alliance between scholarly pursuits and aerial ambitions. Moreover, the statistical robustness of our findings, indicated by the p-value of less than 0.01 and the high r-squared value, bolsters the credibility of our results and beckons further scrutiny into the intricate dynamics at play.

Amidst the enigmatic forces governing the interplay between Master's degrees in Engineering and jet fuel consumption, our study propels the academic community into a landscape of scholarly introspection and speculative contemplation. While the precise mechanisms underlying this correlation remain elusive, our findings underscore the potential for nuanced synergies to underpin seemingly disparate domains, amplifying the chorus of curiosity surrounding the interaction of educational aspirations and operational exigencies. This unveiling not only enriches our comprehension of societal dynamics but also ignites curiosity about the nuanced forces shaping the realms of academia and industry.

In sum, our investigation into the perplexing congruence of academic accolades in engineering and the utilization of jet fuel in Grenada not only unraveled an unexpected correlation but also illuminated the potential for symbiotic dynamics to permeate seemingly unrelated spheres. This disclosure not only enriches our understanding of the convoluted tapestry of societal dynamics but also presents a springboard for further scholarly inquiries into the intricate interconnection between academic pursuits and real-world phenomena.

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

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Master's degrees awarded in Engineering and Jet fuel used in Grenada. 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]]
Masters of Engineering: Fuelling Grenada's Jet Set?

[[ABSTRACT]]
This paper examines the puzzling relationship between the number of Master's degrees awarded in Engineering and the consumption of jet fuel in the picturesque island nation of Grenada. By leveraging data from the National Center for Education Statistics and the Energy Information Administration, we painstakingly crunched the numbers to uncover the enigmatic connection between these seemingly disparate factors. Our analysis reveals a striking correlation coefficient of 0.9676911, with a statistically significant p-value of less than 0.01 for the ten-year period from 2012 to 2021. The findings not only shed light on the unexpected interplay between academic pursuits and aviation fuel usage but also provoke further speculation about the fueling of Grenada's scholarly and aerial ambitions.

[[INTRDUCTION]]
The connection between academic pursuits and real-world phenomena has long been a subject of fascination for researchers across diverse disciplines. In the present study, we delve into the curious relationship between the number of Master's degrees awarded in the field of Engineering and the consumption of jet fuel in Grenada. While this correlation may strike some as akin to comparing apples to oranges, our endeavor to scrutinize this association is grounded in the belief that unexpected insights can emerge from uncovering seemingly unrelated variables.
As the saying goes, "what goes up must come down," and indeed, our investigation seeks to elucidate whether the pursuit of lofty educational achievements in Engineering may indeed have an impact on the upward trajectory of jet fuel usage in Grenada. From an empirical standpoint, understanding the dynamics of this dynamic interaction not only serves to quench our curiosity but also holds potential implications for policy-making, resource allocation, and the synergy between scholarly endeavors and the aviation industry.
As we embark on this scholarly odyssey, we are reminded of the immortal words of Isaac Newton: "If I have seen further, it is by standing on the shoulders of giants." In keeping with this spirit, we acknowledge the vital role of prior research and the principles of scientific inquiry in guiding our quest to unravel the mysteries veiled within the data. With statistical tools as our compass and theoretical frameworks as our cartographic aids, we navigate the terrain of academia and airborne transit in search of the nexus where Master's degrees and jet fuel intertwine.
In the following sections, we present the methods employed to collect and analyze the data, the results of our investigation, and the implications of our findings. With a blend of rigorous analysis and a dash of intellectual whimsy, we endeavor to shed light on this intriguing synergy and, in doing so, challenge conventional wisdom and stoke the flames of curiosity in the realm of academic inquiry.

[[RESULTS]]
The intersection of academic achievements in engineering and the consumption of jet fuel in the idyllic setting of Grenada yielded an intriguing correlation. Our analysis revealed a striking correlation coefficient of 0.9676911, with an r-squared value of 0.9364261, indicating a remarkably strong relationship between these seemingly unrelated variables. The statistical significance of the relationship was underscored by a p-value of less than 0.01, emphasizing the robustness of the findings.
Figure 1 presents a captivating visual representation of the correlation between the number of Master's degrees awarded in Engineering and the consumption of jet fuel in Grenada. The scatterplot showcases the tight clustering of data points, illustrating the compelling association between academic pursuits and aviation fuel usage. The figure serves as a testament to the unexpected unity of scholarly endeavors and aerial ambitions.
While the precise mechanisms underlying this correlation remain elusive, our findings spur contemplation of the intricate interplay between educational attainment and the exigencies of air travel. The symbiotic relationship between these variables elicits reflection on the uncharted synergies that permeate the realms of academia and industry, leaving room for imagination and speculation.
The robustness of our results encourages further scholarly exploration into the dynamics of this association, beckoning researchers to delve deeper into the nuanced interconnection between academic pursuits and real-world phenomena. The unearthing of this correlation amplifies the chorus of curiosity surrounding the intersection of educational aspirations and the operational intricacies of aviation, propelling the academic community into a voyage of scholarly introspection and speculative contemplation.
In summary, our investigation into the congruence of Master's degrees in Engineering and jet fuel consumption in Grenada not only disclosed an unexpected correlation but also illuminated the potential for synergistic dynamics to underpin seemingly disparate domains. This unveiling not only enriches our understanding of the convoluted tapestry of societal dynamics but also stimulates conjecture about the enigmatic forces that govern the interplay between academic pursuits and industrial exigencies.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our study has uncovered a robust correlation between the number of Master's degrees awarded in Engineering and the consumption of jet fuel in Grenada. This unexpected finding not only challenges conventional wisdom but also propels us into uncharted territory where academia and aviation intersect. The tight clustering of data points in our scatterplot figuratively mirrors the tight hold this correlation has on our intellectual curiosity. It seems that the pursuit of higher education in Engineering may indeed be fueling Grenada's aerial ambitions, quite literally! As we mull over the implications of our findings, we are reminded of the adage, "knowledge is power," and in this case, it may also be jet fuel.

The statistical significance of our results, with a p-value of less than 0.01, leaves little room for doubt regarding the strength of this relationship. While we are cautious not to overstate the causal implications of our correlation, the tantalizing possibility of Master's degrees in Engineering serving as a fuel for Grenada's aviation industry cannot be ignored. This unexpected union of academic pursuits and practical outcomes evokes a sense of wonder and underscores the intricate interconnections that shape our world.

As we draw the curtains on this analysis, we are reminded that sometimes, the most intriguing revelations arise from the most unexpected pairings. It is in this spirit that we assert that no further research is needed in this area. After all, once you've connected Master's degrees in Engineering with jet fuel in Grenada, what more could you possibly want? Our study stands as a testament to the often quirky, yet thought-provoking nature of academic inquiry.

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 Masters of Engineering: Fuelling Grenada's Jet Set?. Respond only with the name of a fictional academic journal.

ChatGPT:

Journal of Aerospace Engineering and Sustainable Tourism

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 Masters of Engineering: Fuelling Grenada's Jet Set?. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Advanced Sustainable Energy Solutions

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 Masters of Engineering: Fuelling Grenada's Jet Set? with an abstract of This paper examines the puzzling relationship between the number of Master's degrees awarded in Engineering and the consumption of jet fuel in the picturesque island nation of Grenada. By leveraging data from the National Center for Education Statistics and the Energy Information Administration, we painstakingly crunched the numbers to uncover the enigmatic connection between these seemingly disparate factors. Our analysis reveals a striking correlation coefficient of 0.9676911, with a statistically significant p-value of less than 0.01 for the ten-year period from 2012 to 2021. The findings not only shed light on the unexpected interplay between academic pursuits and aviation fuel usage but also provoke further speculation about the fueling of Grenada's scholarly and aerial ambitions.

ChatGPT:

Masters degree, Engineering, Grenada, jet fuel consumption, correlation coefficient, National Center for Education Statistics, Energy Information Administration, academic pursuits, aviation fuel usage, Grenadian scholarly ambitions, Grenadian aerial ambitions

*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.

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Data details

Master's degrees awarded in Engineering
Detailed data title: Master's degrees conferred by postsecondary institutions in Engineering
Source: National Center for Education Statistics
See what else correlates with Master's degrees awarded in Engineering

Jet fuel used in Grenada
Detailed data title: Volume of jet fuel used consumed in Grenada in millions of barrels per day
Source: Energy Information Administration
See what else correlates with Jet fuel used in Grenada

Correlation r = 0.9676911 (Pearson correlation coefficient)
Correlation is a measure of how much the variables move together. If it is 0.99, when one goes up the other goes up. If it is 0.02, the connection is very weak or non-existent. If it is -0.99, then when one goes up the other goes down. If it is 1.00, you probably messed up your correlation function.

r² = 0.9364261 (Coefficient of determination)
This means 93.6% of the change in the one variable (i.e., Jet fuel used in Grenada) is predictable based on the change in the other (i.e., Master's degrees awarded in Engineering) over the 10 years from 2012 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 4.6E-6.^Show 0.0000045848653058363360000000
The p-value is a measure of how probable it is that we would randomly find a result this extreme.^Note 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 0.97 in 0.00046% of random cases. Said differently, if you correlated 218,109 random variables^Note You don't actually need 218 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, ^Note 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.

[ 0.87, 0.99 ] 95% correlation confidence interval (using the Fisher z-transformation)
^{Read more about the confidence interval} 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: ^Note 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
Master's degrees awarded in Engineering (Degrees awarded)	40323	40420	42376	46117	51646	52826	51723	49701	47277	47257
Jet fuel used in Grenada (Million Barrels/Day)	0.08645	0.0816899	0.114713	0.120458	0.148089	0.156871	0.148496	0.148496	0.125056	0.133099

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^Note 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^Note 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. ^{Show the steps to do this.} 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([40323,40420,42376,46117,51646,52826,51723,49701,47277,47257,])
array_2 = np.array([0.08645,0.0816899,0.114713,0.120458,0.148089,0.156871,0.148496,0.148496,0.125056,0.133099,])
array_1_name = "Master's degrees awarded in Engineering"
array_2_name = "Jet fuel used in Grenada"

# 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. ^Note 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 ^Note 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
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Portable line chart (png)
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Line chart for only Master's degrees awarded in Engineering
Line chart for only Jet fuel used in Grenada
AI-generated correlation image
The spurious research paper: Masters of Engineering: Fuelling Grenada's Jet Set?

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Correlation ID: 3140 · Black Variable ID: 1320 · Red Variable ID: 24481


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