Spurious correlation #2,665 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Associates degrees awarded in Engineering technologies and the second variable is Kerosene used globally. The chart goes from 2011 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 Associates degrees awarded in Engineering technologies and the second variable is Kerosene used globally. The chart goes from 2011 to 2021, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As the number of Associates degrees awarded in Engineering technologies declined, there was a corresponding decrease in the production of overly complex engineering solutions. This led to a more streamlined and efficient use of kerosene, as fewer engineers were trying to reinvent the wheel (or the jet engine, in this case). In a strange twist of fate, it seemed that the key to reducing kerosene usage lay in producing fewer kooky, kerosene-guzzling contraptions. Who would have thought that earning fewer engineering technology degrees could actually help fuel a smoother and cleaner future?

^{Show image generation prompt} Model: dalle-3
Prompt: Generate an image with a futuristic aesthetic where a university commencement ceremony is taking place. At the forefront, students in academic regalia are receiving their Associate's degrees in engineering technologies. The backdrop features a holographic projection of a graph displaying a sharp downward trend in global kerosene usage, symbolizing the diminishing reliance on kerosene due to the lack of innovation from engineers. The atmosphere exudes a sense of technological advancement and the potential for positive change in the world. 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 Engineering technologies and Kerosene used globally. 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: Futuristic Vaporwave Surrealism Psychedelic Cute 2D animation
ChatGPT: Futuristic

Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both Associates degrees awarded in Engineering technologies and Kerosene used globally, in the following situation: Because as fewer people studied engineering technologies, there were fewer engineers to come up with new and more efficient ways to use kerosene. As a result, global kerosene usage decreased as people found alternative, more sustainable energy sources.. Keep the description simple.
ChatGPT: In the scene, we see a university commencement ceremony where students are receiving their Associate's degrees in engineering technologies. In the background, we see a graph showing a downward trend in global kerosene usage, symbolizing the decrease in kerosene consumption due to the lack of innovation from engineers.

Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ Futuristic ] and depicting this scene: In the scene, we see a university commencement ceremony where students are receiving their Associate's degrees in engineering technologies. In the background, we see a graph showing a downward trend in global kerosene usage, symbolizing the decrease in kerosene consumption due to the lack of innovation from engineers. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image with a futuristic aesthetic where a university commencement ceremony is taking place. At the forefront, students in academic regalia are receiving their Associate's degrees in engineering technologies. The backdrop features a holographic projection of a graph displaying a sharp downward trend in global kerosene usage, symbolizing the diminishing reliance on kerosene due to the lack of innovation from engineers. The atmosphere exudes a sense of technological advancement and the potential for positive change in the world.

*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 a decrease in Associates degrees awarded in Engineering technologies caused Kerosene used globally to decrease. Make it feel plausible.

AI academic paper

(Because p < 0.01)

From Degrees to Fuel: Exploring the Correlation Between Engineering Technology Associate Degrees and Global Kerosene Consumption

Journal of Technological Innovations and Energy Consumption

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 goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.You write titles and abstracts of goofy academic research papers.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, and add unexpected twists in your writing.

Please draft the title and abstract of an academic research paper presenting the findings of the connection between Associates degrees awarded in Engineering technologies and Kerosene used globally. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Make the title seem clever.

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 0.9608796 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]]
From Degrees to Fuel: Exploring the Correlation Between Engineering Technology Associate Degrees and Global Kerosene Consumption

[[ABSTRACT]]
In this study, we delved into the intriguing relationship between the number of Associate degrees awarded in Engineering technologies and the global usage of kerosene. While some may think comparing these two vastly different factors is like trying to mix oil and water, our findings show that there might just be a surprising link between them.

Using data from the National Center for Education Statistics and the Energy Information Administration, we crunched the numbers and uncovered a correlation coefficient of 0.9608796 and a statistically significant p-value of less than 0.01 for the period from 2011 to 2021. These results suggest a strong relationship between the two variables, which raises the question: are more Engineering technology graduates leading to a surge in late-night studying fueled by kerosene lamps, or is there a more complex cause-and-effect relationship at play? It seems we've stumbled upon an "illuminating" discovery.

Although drawing direct causation from this correlation would be like saying that ice cream consumption causes shark attacks simply because they both occur more frequently in the summer, the findings open up a realm of possibilities for speculation and further investigation. Perhaps the burning ambition of these engineering graduates is somehow connected to the burning of kerosene lamps in remote regions. After all, with their bright ideas, it's no wonder they're shedding light on new connections.

In conclusion, our research sheds light on a previously unexplored correlation and calls for further investigation into the mechanisms behind it. As we continue to unravel this unexpected tie between educational attainment in a specific field and global energy consumption, we urge the academic community to approach this topic with the same curiosity and open-mindedness as we did. Let's keep the flame of inquiry burning bright!

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

Please make up a literature review section of an academic research paper presenting the findings of the connection between Associates degrees awarded in Engineering technologies and Kerosene used globally. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name a couple popular internet memes that are related to one of the topics.

Here is the title and abstract of the paper:
[[TITLE]]
From Degrees to Fuel: Exploring the Correlation Between Engineering Technology Associate Degrees and Global Kerosene Consumption

[[ABSTRACT]]
In this study, we delved into the intriguing relationship between the number of Associate degrees awarded in Engineering technologies and the global usage of kerosene. While some may think comparing these two vastly different factors is like trying to mix oil and water, our findings show that there might just be a surprising link between them.

Using data from the National Center for Education Statistics and the Energy Information Administration, we crunched the numbers and uncovered a correlation coefficient of 0.9608796 and a statistically significant p-value of less than 0.01 for the period from 2011 to 2021. These results suggest a strong relationship between the two variables, which raises the question: are more Engineering technology graduates leading to a surge in late-night studying fueled by kerosene lamps, or is there a more complex cause-and-effect relationship at play? It seems we've stumbled upon an "illuminating" discovery.

Although drawing direct causation from this correlation would be like saying that ice cream consumption causes shark attacks simply because they both occur more frequently in the summer, the findings open up a realm of possibilities for speculation and further investigation. Perhaps the burning ambition of these engineering graduates is somehow connected to the burning of kerosene lamps in remote regions. After all, with their bright ideas, it's no wonder they're shedding light on new connections.

In conclusion, our research sheds light on a previously unexplored correlation and calls for further investigation into the mechanisms behind it. As we continue to unravel this unexpected tie between educational attainment in a specific field and global energy consumption, we urge the academic community to approach this topic with the same curiosity and open-mindedness as we did. Let's keep the flame of inquiry burning bright!

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The pursuit of knowledge often leads researchers down unexpected paths, and our journey into examining the correlation between the number of Associate degrees awarded in Engineering technologies and the global usage of kerosene has been no exception. As we delved into this curious relationship, we couldn't help but ponder: is there a spark of connection waiting to be unearthed, or are we simply fanning the flames of speculation? It seems we've found ourselves in a bit of a "fuel" predicament.
The intersection of educational attainment in the engineering field and worldwide kerosene consumption may at first glance seem as mismatched as a mismatched pair of socks – different in purpose, yet somehow still related. However, as our research has unfolded, it's become clear that there might just be a wick-edly interesting link between these two seemingly disparate factors.
Our data analysis, utilizing information from the National Center for Education Statistics and the Energy Information Administration, has revealed a correlation coefficient of 0.9608796 and a statistically significant p-value of less than 0.01 over the period from 2011 to 2021. In other words, it appears that there's a strong statistical relationship between the number of engineering technology degrees awarded and the global usage of kerosene. It's almost as if we've stumbled upon an "illuminating" discovery, but with more numbers and fewer light bulbs.
While we acknowledge the age-old caution against inferring causation from correlation, we can't help but warm up to the possibility that there may be more to this relationship than meets the eye. It's a bit like connecting the dots between a toaster and the concept of "toast" – there's a tantalizing suggestion of a deeper connection waiting to be explored.
As we navigate through this study, it's important to keep in mind that our findings are just the first flicker of insight into a much larger puzzle. By shedding light on this unexpected correlation, it's our hope to inspire further research and ignite a passion for unraveling the tangled web of causation and influence. After all, in the realm of academic inquiry, it's always a bright idea to keep an open mind and let curiosity be the guiding light.
In conclusion, our foray into this surprising correlation serves as a call to arms for future investigation, fueled by the flame of curiosity and the desire to illuminate the unseen connections that shape our world. With our findings in hand, it's clear that there's still much more to discover as we continue to kindle the spirit of inquiry in the pursuit of knowledge. Let's keep the "spark" of investigation burning bright and see where it leads us next.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

The relationship between educational attainment in the form of Engineering technology Associate degrees and global kerosene consumption has garnered attention from researchers across various disciplines. Smith et al. (2015) conducted a comprehensive study on the increasing trends in the awarding of Associate degrees in Engineering technologies over the past two decades. Combining this line of investigation with the work of Doe and Jones (2018), who extensively examined the patterns of kerosene use on a global scale, lays the groundwork for our own exploration into the potential correlation between these two seemingly disparate factors.

Now, moving on from the academic realm, "Engineering Technology for Students of Physics and Engineering" by Doe (2007) and "Kerosene: The Science and Engineering behind an Ancient Fuel" by Jones (2011) provided us with valuable insights into the practical applications and significance of both aspects in their respective domains.

But let's not forget the fictional contributions to this scholarly pursuit. "Kerosene" by A. Fictionado and "Engineering the Impossible" by E. Novelist offer imaginative takes on the intriguing intersection of kerosene and engineering technologies. While not scholarly works in the traditional sense, these novels remind us of the creative breadth of human thought and the potential for unexpected connections between seemingly unrelated topics.

Speaking of unexpected connections, who could forget the "Engineering Kid and Kerosene Lamp" meme that permeated the internet a while back? It seems the online world has also dabbled in the curious juxtaposition of these two subjects, albeit in a more lighthearted and meme-worthy manner.

In light of these diverse sources, it's clear that the relationship between Engineering technology Associate degrees and kerosene usage has sparked interest both in academic circles and beyond. As we dive into our own investigation, it's essential to keep in mind the multifaceted nature of this association and approach it with both academic rigor and a dash of humor. After all, when dealing with topics as unexpected as this, a little levity can go a long way.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.You draft the 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 Engineering technologies and Kerosene used globally. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from National Center for Education Statistics and 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]]
From Degrees to Fuel: Exploring the Correlation Between Engineering Technology Associate Degrees and Global Kerosene Consumption

[[ABSTRACT]]
In this study, we delved into the intriguing relationship between the number of Associate degrees awarded in Engineering technologies and the global usage of kerosene. While some may think comparing these two vastly different factors is like trying to mix oil and water, our findings show that there might just be a surprising link between them.

Using data from the National Center for Education Statistics and the Energy Information Administration, we crunched the numbers and uncovered a correlation coefficient of 0.9608796 and a statistically significant p-value of less than 0.01 for the period from 2011 to 2021. These results suggest a strong relationship between the two variables, which raises the question: are more Engineering technology graduates leading to a surge in late-night studying fueled by kerosene lamps, or is there a more complex cause-and-effect relationship at play? It seems we've stumbled upon an "illuminating" discovery.

Although drawing direct causation from this correlation would be like saying that ice cream consumption causes shark attacks simply because they both occur more frequently in the summer, the findings open up a realm of possibilities for speculation and further investigation. Perhaps the burning ambition of these engineering graduates is somehow connected to the burning of kerosene lamps in remote regions. After all, with their bright ideas, it's no wonder they're shedding light on new connections.

In conclusion, our research sheds light on a previously unexplored correlation and calls for further investigation into the mechanisms behind it. As we continue to unravel this unexpected tie between educational attainment in a specific field and global energy consumption, we urge the academic community to approach this topic with the same curiosity and open-mindedness as we did. Let's keep the flame of inquiry burning bright!

[[INTRODUCTION]]
The pursuit of knowledge often leads researchers down unexpected paths, and our journey into examining the correlation between the number of Associate degrees awarded in Engineering technologies and the global usage of kerosene has been no exception. As we delved into this curious relationship, we couldn't help but ponder: is there a spark of connection waiting to be unearthed, or are we simply fanning the flames of speculation? It seems we've found ourselves in a bit of a "fuel" predicament.
The intersection of educational attainment in the engineering field and worldwide kerosene consumption may at first glance seem as mismatched as a mismatched pair of socks – different in purpose, yet somehow still related. However, as our research has unfolded, it's become clear that there might just be a wick-edly interesting link between these two seemingly disparate factors.
Our data analysis, utilizing information from the National Center for Education Statistics and the Energy Information Administration, has revealed a correlation coefficient of 0.9608796 and a statistically significant p-value of less than 0.01 over the period from 2011 to 2021. In other words, it appears that there's a strong statistical relationship between the number of engineering technology degrees awarded and the global usage of kerosene. It's almost as if we've stumbled upon an "illuminating" discovery, but with more numbers and fewer light bulbs.
While we acknowledge the age-old caution against inferring causation from correlation, we can't help but warm up to the possibility that there may be more to this relationship than meets the eye. It's a bit like connecting the dots between a toaster and the concept of "toast" – there's a tantalizing suggestion of a deeper connection waiting to be explored.
As we navigate through this study, it's important to keep in mind that our findings are just the first flicker of insight into a much larger puzzle. By shedding light on this unexpected correlation, it's our hope to inspire further research and ignite a passion for unraveling the tangled web of causation and influence. After all, in the realm of academic inquiry, it's always a bright idea to keep an open mind and let curiosity be the guiding light.
In conclusion, our foray into this surprising correlation serves as a call to arms for future investigation, fueled by the flame of curiosity and the desire to illuminate the unseen connections that shape our world. With our findings in hand, it's clear that there's still much more to discover as we continue to kindle the spirit of inquiry in the pursuit of knowledge. Let's keep the "spark" of investigation burning bright and see where it leads us next.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

To uncover the potential relationship between the number of Associate degrees awarded in Engineering technologies and global kerosene consumption, our research team employed a methodological approach that was as carefully constructed as a house of cards in a hurricane. We harnessed the power of data collection from the National Center for Education Statistics and the Energy Information Administration, employing a mix of serious statistical analysis and lighthearted speculation. In the words of Thomas Edison, "I have not failed. I've just found 10,000 ways that won't work."

We first gathered data on the number of Associate degrees awarded in Engineering technologies across the United States from 2011 to 2021. By analyzing annual reports and utilizing foxy database manipulation skills, we amassed a comprehensive dataset representative of the educational achievements in this particular field. It's almost as if we had rounded up the entire engineering cohort for a group photo, but instead of smiles, we had data points.

Simultaneously, we delved into the global consumption of kerosene over the same time period, carefully navigating through the sea of statistical reports and energy consumption trends like pirates seeking treasure. Through the murky waters of data mining, we retrieved valuable figures representing the usage of kerosene worldwide, mapping out its ebb and flow with a compass of statistical precision. It felt like embarking on a treasure hunt, but instead of gold doubloons, we were in pursuit of correlation coefficients.

Once armed with our datasets, we employed sophisticated statistical analyses, including the calculation of correlation coefficients and the determination of p-values, to unearth any potential relationship between the two variables. We donned our statistical thinking caps and sharpened our metaphorical pencils as we took to the task of uncovering the hidden patterns and connections lurking within the numbers. It was like solving a mathematical mystery, with the added thrill of potentially discovering a link between educational attainment in engineering and the global spread of kerosene.

Furthermore, we carefully controlled for potential confounding variables, ensuring that our findings weren't just the result of statistical tomfoolery or coincidence. By scrutinizing the data through multiple lenses and performing sensitivity analyses, we sought to strengthen the robustness of our findings and separate the signal from the statistical noise. It was like sifting through a haystack for the needle of truth, albeit with more regression analysis and fewer hay bales.

In conclusion, our methodological approach involved a harmonious blend of rigorous data collection, statistical wizardry, and a touch of whimsical creativity. By balancing the seriousness of scientific inquiry with a hint of academic playfulness, we embarked on a quest to shed light on the unexpected connection between educational achievements in engineering and global kerosene consumption. And like a well-constructed pun, we aimed to leave a lasting impression that would spark further investigation and kindle the curiosity of future researchers.

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

Please make up the results section of an academic research paper presenting the findings of the connection between Associates degrees awarded in Engineering technologies and Kerosene used globally. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from National Center for Education Statistics and Energy Information Administration .

For the time period 2011 to 2021, you found a correlation 0.9608796, r-squared of 0.9232896, and p < 0.01.

One figure will be included. The figure (Fig. 1) is a scatterplot showing the strong correlation between the two variables. You don't need to specify where; I will add the figure.

Here is the title and abstract of the paper:
[[TITLE]]
From Degrees to Fuel: Exploring the Correlation Between Engineering Technology Associate Degrees and Global Kerosene Consumption

[[ABSTRACT]]
In this study, we delved into the intriguing relationship between the number of Associate degrees awarded in Engineering technologies and the global usage of kerosene. While some may think comparing these two vastly different factors is like trying to mix oil and water, our findings show that there might just be a surprising link between them.

Using data from the National Center for Education Statistics and the Energy Information Administration, we crunched the numbers and uncovered a correlation coefficient of 0.9608796 and a statistically significant p-value of less than 0.01 for the period from 2011 to 2021. These results suggest a strong relationship between the two variables, which raises the question: are more Engineering technology graduates leading to a surge in late-night studying fueled by kerosene lamps, or is there a more complex cause-and-effect relationship at play? It seems we've stumbled upon an "illuminating" discovery.

Although drawing direct causation from this correlation would be like saying that ice cream consumption causes shark attacks simply because they both occur more frequently in the summer, the findings open up a realm of possibilities for speculation and further investigation. Perhaps the burning ambition of these engineering graduates is somehow connected to the burning of kerosene lamps in remote regions. After all, with their bright ideas, it's no wonder they're shedding light on new connections.

In conclusion, our research sheds light on a previously unexplored correlation and calls for further investigation into the mechanisms behind it. As we continue to unravel this unexpected tie between educational attainment in a specific field and global energy consumption, we urge the academic community to approach this topic with the same curiosity and open-mindedness as we did. Let's keep the flame of inquiry burning bright!

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The pursuit of knowledge often leads researchers down unexpected paths, and our journey into examining the correlation between the number of Associate degrees awarded in Engineering technologies and the global usage of kerosene has been no exception. As we delved into this curious relationship, we couldn't help but ponder: is there a spark of connection waiting to be unearthed, or are we simply fanning the flames of speculation? It seems we've found ourselves in a bit of a "fuel" predicament.
The intersection of educational attainment in the engineering field and worldwide kerosene consumption may at first glance seem as mismatched as a mismatched pair of socks – different in purpose, yet somehow still related. However, as our research has unfolded, it's become clear that there might just be a wick-edly interesting link between these two seemingly disparate factors.
Our data analysis, utilizing information from the National Center for Education Statistics and the Energy Information Administration, has revealed a correlation coefficient of 0.9608796 and a statistically significant p-value of less than 0.01 over the period from 2011 to 2021. In other words, it appears that there's a strong statistical relationship between the number of engineering technology degrees awarded and the global usage of kerosene. It's almost as if we've stumbled upon an "illuminating" discovery, but with more numbers and fewer light bulbs.
While we acknowledge the age-old caution against inferring causation from correlation, we can't help but warm up to the possibility that there may be more to this relationship than meets the eye. It's a bit like connecting the dots between a toaster and the concept of "toast" – there's a tantalizing suggestion of a deeper connection waiting to be explored.
As we navigate through this study, it's important to keep in mind that our findings are just the first flicker of insight into a much larger puzzle. By shedding light on this unexpected correlation, it's our hope to inspire further research and ignite a passion for unraveling the tangled web of causation and influence. After all, in the realm of academic inquiry, it's always a bright idea to keep an open mind and let curiosity be the guiding light.
In conclusion, our foray into this surprising correlation serves as a call to arms for future investigation, fueled by the flame of curiosity and the desire to illuminate the unseen connections that shape our world. With our findings in hand, it's clear that there's still much more to discover as we continue to kindle the spirit of inquiry in the pursuit of knowledge. Let's keep the "spark" of investigation burning bright and see where it leads us next.

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

The data analysis revealed a striking correlation coefficient of 0.9608796, indicating a strong positive relationship between the number of Associate degrees awarded in Engineering technologies and global kerosene consumption from 2011 to 2021. This correlation coefficient was accompanied by an r-squared value of 0.9232896, suggesting that approximately 92.3% of the variability in kerosene usage can be explained by the number of engineering technology degrees awarded. In layman's terms, it seems that as the number of engineering technology graduates increased, so did the global consumption of kerosene.

Now, before we jump to conclusions, let me throw in a quick dad joke: Why don't we ever tell secrets on a farm? Because the potatoes have eyes and the corn has ears! Thank you, thank you, I'll be here all night.

The statistically significant p-value of less than 0.01 further supports the robustness of this relationship. It's like hitting the statistical jackpot – the odds of this association occurring by random chance are quite slim, to say the least.

As mentioned, the figure depicting this correlation, which will be displayed as Fig. 1 in the final publication, delivers an eye-catching visualization of the strong positive relationship discovered. Imagine a beautiful, data-driven love story between Engineering technology degrees and kerosene usage, and you've got the gist of it.

Speaking of love stories, did you hear about the two antennae that met on a roof and got married? The wedding wasn't much, but the reception was excellent! See, even in the serious world of research, there's always room for a bit of humor.

In summary, our investigation into the surprising relationship between Associate degrees in Engineering technologies and global kerosene consumption has illuminated a fascinating connection. While we're not ready to leap to conclusions about causation just yet, our findings provide a compelling foundation for further exploration into the mechanisms underlying this intriguing correlation. It seems that the bright minds in engineering are leaving a profound impact on global energy consumption, shedding light on a topic that was previously unexplored.

And speaking of shedding light, did you hear about the fire at the circus? It was in tents! Thank you, thank you – I'll be here all week.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the discussion section of an academic research paper presenting the findings of the connection between Associates degrees awarded in Engineering technologies and Kerosene used globally. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Limit your response to 500 tokens.

Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.

Do not write a conclusion. I will add a conclusion after this.

[[TITLE]]
From Degrees to Fuel: Exploring the Correlation Between Engineering Technology Associate Degrees and Global Kerosene Consumption

[[ABSTRACT]]
In this study, we delved into the intriguing relationship between the number of Associate degrees awarded in Engineering technologies and the global usage of kerosene. While some may think comparing these two vastly different factors is like trying to mix oil and water, our findings show that there might just be a surprising link between them.

Using data from the National Center for Education Statistics and the Energy Information Administration, we crunched the numbers and uncovered a correlation coefficient of 0.9608796 and a statistically significant p-value of less than 0.01 for the period from 2011 to 2021. These results suggest a strong relationship between the two variables, which raises the question: are more Engineering technology graduates leading to a surge in late-night studying fueled by kerosene lamps, or is there a more complex cause-and-effect relationship at play? It seems we've stumbled upon an "illuminating" discovery.

Although drawing direct causation from this correlation would be like saying that ice cream consumption causes shark attacks simply because they both occur more frequently in the summer, the findings open up a realm of possibilities for speculation and further investigation. Perhaps the burning ambition of these engineering graduates is somehow connected to the burning of kerosene lamps in remote regions. After all, with their bright ideas, it's no wonder they're shedding light on new connections.

In conclusion, our research sheds light on a previously unexplored correlation and calls for further investigation into the mechanisms behind it. As we continue to unravel this unexpected tie between educational attainment in a specific field and global energy consumption, we urge the academic community to approach this topic with the same curiosity and open-mindedness as we did. Let's keep the flame of inquiry burning bright!

[[LITERATURE REVIEW]]
The relationship between educational attainment in the form of Engineering technology Associate degrees and global kerosene consumption has garnered attention from researchers across various disciplines. Smith et al. (2015) conducted a comprehensive study on the increasing trends in the awarding of Associate degrees in Engineering technologies over the past two decades. Combining this line of investigation with the work of Doe and Jones (2018), who extensively examined the patterns of kerosene use on a global scale, lays the groundwork for our own exploration into the potential correlation between these two seemingly disparate factors.
Now, moving on from the academic realm, "Engineering Technology for Students of Physics and Engineering" by Doe (2007) and "Kerosene: The Science and Engineering behind an Ancient Fuel" by Jones (2011) provided us with valuable insights into the practical applications and significance of both aspects in their respective domains.
But let's not forget the fictional contributions to this scholarly pursuit. "Kerosene" by A. Fictionado and "Engineering the Impossible" by E. Novelist offer imaginative takes on the intriguing intersection of kerosene and engineering technologies. While not scholarly works in the traditional sense, these novels remind us of the creative breadth of human thought and the potential for unexpected connections between seemingly unrelated topics.
Speaking of unexpected connections, who could forget the "Engineering Kid and Kerosene Lamp" meme that permeated the internet a while back? It seems the online world has also dabbled in the curious juxtaposition of these two subjects, albeit in a more lighthearted and meme-worthy manner.
In light of these diverse sources, it's clear that the relationship between Engineering technology Associate degrees and kerosene usage has sparked interest both in academic circles and beyond. As we dive into our own investigation, it's essential to keep in mind the multifaceted nature of this association and approach it with both academic rigor and a dash of humor. After all, when dealing with topics as unexpected as this, a little levity can go a long way.

[[RESULTS]]
The data analysis revealed a striking correlation coefficient of 0.9608796, indicating a strong positive relationship between the number of Associate degrees awarded in Engineering technologies and global kerosene consumption from 2011 to 2021. This correlation coefficient was accompanied by an r-squared value of 0.9232896, suggesting that approximately 92.3% of the variability in kerosene usage can be explained by the number of engineering technology degrees awarded. In layman's terms, it seems that as the number of engineering technology graduates increased, so did the global consumption of kerosene.
Now, before we jump to conclusions, let me throw in a quick dad joke: Why don't we ever tell secrets on a farm? Because the potatoes have eyes and the corn has ears! Thank you, thank you, I'll be here all night.
The statistically significant p-value of less than 0.01 further supports the robustness of this relationship. It's like hitting the statistical jackpot – the odds of this association occurring by random chance are quite slim, to say the least.
As mentioned, the figure depicting this correlation, which will be displayed as Fig. 1 in the final publication, delivers an eye-catching visualization of the strong positive relationship discovered. Imagine a beautiful, data-driven love story between Engineering technology degrees and kerosene usage, and you've got the gist of it.
Speaking of love stories, did you hear about the two antennae that met on a roof and got married? The wedding wasn't much, but the reception was excellent! See, even in the serious world of research, there's always room for a bit of humor.
In summary, our investigation into the surprising relationship between Associate degrees in Engineering technologies and global kerosene consumption has illuminated a fascinating connection. While we're not ready to leap to conclusions about causation just yet, our findings provide a compelling foundation for further exploration into the mechanisms underlying this intriguing correlation. It seems that the bright minds in engineering are leaving a profound impact on global energy consumption, shedding light on a topic that was previously unexplored.
And speaking of shedding light, did you hear about the fire at the circus? It was in tents! Thank you, thank you – I'll be here all week.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

Our findings have brought to light a compelling link between the number of Associate degrees in Engineering technologies and global kerosene consumption. The strikingly high correlation coefficient and statistically significant p-value we uncovered provide substantial evidence to support the notion that there may be more to this relationship than meets the eye. It's almost as if these two factors are covalently bonded, like atoms in a molecule. We've certainly sparked some interesting conversations with this discovery.

Building on the literature review, the current research not only reinforces the work of Smith et al. (2015) and Doe and Jones (2018), but also echoes the sentiments expressed in the "Engineering Kid and Kerosene Lamp" meme that permeated the internet. Who would have guessed that a lighthearted online joke could hold a kernel of truth? It just goes to show that academia doesn't always have a monopoly on scholarly insights.

Our results also align with the works of Fictionado and Novelist, illustrating that even in the world of fiction, there's room for unexpected connections to hold some degree of truth. Perhaps this study can serve as a reminder that truth can be stranger than fiction, especially when it comes to the intricate intertwining of educational trends and global energy dynamics.

Now, to address a serious concern that may have crossed some readers' minds: did our findings establish a causal relationship between the number of Engineering technology Associate degrees and global kerosene consumption, or are we merely witnessing a coincidental correlation? Let me throw in a dad joke to lighten the mood: Did you hear about the mathematician who's afraid of negative numbers? He will stop at nothing to avoid them! Humor aside, it's crucial to treat this question with the gravity it deserves. While our research sheds light on an intriguing association, inferring causation from correlation would be as precarious as assuming that storks deliver babies just because they are often seen in the same vicinity as newborns.

In conclusion, our study serves as a beacon illuminating the need for further investigation into the mechanisms underpinning the observed correlation. The quest to unravel the entwined relationship between educational pursuits in Engineering technologies and global energy consumption holds promise for shedding light on a topic that has long remained in the shadows. And as we continue down this enlightening path, perhaps we'll stumble upon more unexpected connections, or even spark a few bright ideas along the way.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.You draft the 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 Engineering technologies and Kerosene used globally. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
From Degrees to Fuel: Exploring the Correlation Between Engineering Technology Associate Degrees and Global Kerosene Consumption

[[ABSTRACT]]
In this study, we delved into the intriguing relationship between the number of Associate degrees awarded in Engineering technologies and the global usage of kerosene. While some may think comparing these two vastly different factors is like trying to mix oil and water, our findings show that there might just be a surprising link between them.

Using data from the National Center for Education Statistics and the Energy Information Administration, we crunched the numbers and uncovered a correlation coefficient of 0.9608796 and a statistically significant p-value of less than 0.01 for the period from 2011 to 2021. These results suggest a strong relationship between the two variables, which raises the question: are more Engineering technology graduates leading to a surge in late-night studying fueled by kerosene lamps, or is there a more complex cause-and-effect relationship at play? It seems we've stumbled upon an "illuminating" discovery.

Although drawing direct causation from this correlation would be like saying that ice cream consumption causes shark attacks simply because they both occur more frequently in the summer, the findings open up a realm of possibilities for speculation and further investigation. Perhaps the burning ambition of these engineering graduates is somehow connected to the burning of kerosene lamps in remote regions. After all, with their bright ideas, it's no wonder they're shedding light on new connections.

In conclusion, our research sheds light on a previously unexplored correlation and calls for further investigation into the mechanisms behind it. As we continue to unravel this unexpected tie between educational attainment in a specific field and global energy consumption, we urge the academic community to approach this topic with the same curiosity and open-mindedness as we did. Let's keep the flame of inquiry burning bright!

[[INTRDUCTION]]
The pursuit of knowledge often leads researchers down unexpected paths, and our journey into examining the correlation between the number of Associate degrees awarded in Engineering technologies and the global usage of kerosene has been no exception. As we delved into this curious relationship, we couldn't help but ponder: is there a spark of connection waiting to be unearthed, or are we simply fanning the flames of speculation? It seems we've found ourselves in a bit of a "fuel" predicament.
The intersection of educational attainment in the engineering field and worldwide kerosene consumption may at first glance seem as mismatched as a mismatched pair of socks – different in purpose, yet somehow still related. However, as our research has unfolded, it's become clear that there might just be a wick-edly interesting link between these two seemingly disparate factors.
Our data analysis, utilizing information from the National Center for Education Statistics and the Energy Information Administration, has revealed a correlation coefficient of 0.9608796 and a statistically significant p-value of less than 0.01 over the period from 2011 to 2021. In other words, it appears that there's a strong statistical relationship between the number of engineering technology degrees awarded and the global usage of kerosene. It's almost as if we've stumbled upon an "illuminating" discovery, but with more numbers and fewer light bulbs.
While we acknowledge the age-old caution against inferring causation from correlation, we can't help but warm up to the possibility that there may be more to this relationship than meets the eye. It's a bit like connecting the dots between a toaster and the concept of "toast" – there's a tantalizing suggestion of a deeper connection waiting to be explored.
As we navigate through this study, it's important to keep in mind that our findings are just the first flicker of insight into a much larger puzzle. By shedding light on this unexpected correlation, it's our hope to inspire further research and ignite a passion for unraveling the tangled web of causation and influence. After all, in the realm of academic inquiry, it's always a bright idea to keep an open mind and let curiosity be the guiding light.
In conclusion, our foray into this surprising correlation serves as a call to arms for future investigation, fueled by the flame of curiosity and the desire to illuminate the unseen connections that shape our world. With our findings in hand, it's clear that there's still much more to discover as we continue to kindle the spirit of inquiry in the pursuit of knowledge. Let's keep the "spark" of investigation burning bright and see where it leads us next.

[[RESULTS]]
The data analysis revealed a striking correlation coefficient of 0.9608796, indicating a strong positive relationship between the number of Associate degrees awarded in Engineering technologies and global kerosene consumption from 2011 to 2021. This correlation coefficient was accompanied by an r-squared value of 0.9232896, suggesting that approximately 92.3% of the variability in kerosene usage can be explained by the number of engineering technology degrees awarded. In layman's terms, it seems that as the number of engineering technology graduates increased, so did the global consumption of kerosene.
Now, before we jump to conclusions, let me throw in a quick dad joke: Why don't we ever tell secrets on a farm? Because the potatoes have eyes and the corn has ears! Thank you, thank you, I'll be here all night.
The statistically significant p-value of less than 0.01 further supports the robustness of this relationship. It's like hitting the statistical jackpot – the odds of this association occurring by random chance are quite slim, to say the least.
As mentioned, the figure depicting this correlation, which will be displayed as Fig. 1 in the final publication, delivers an eye-catching visualization of the strong positive relationship discovered. Imagine a beautiful, data-driven love story between Engineering technology degrees and kerosene usage, and you've got the gist of it.
Speaking of love stories, did you hear about the two antennae that met on a roof and got married? The wedding wasn't much, but the reception was excellent! See, even in the serious world of research, there's always room for a bit of humor.
In summary, our investigation into the surprising relationship between Associate degrees in Engineering technologies and global kerosene consumption has illuminated a fascinating connection. While we're not ready to leap to conclusions about causation just yet, our findings provide a compelling foundation for further exploration into the mechanisms underlying this intriguing correlation. It seems that the bright minds in engineering are leaving a profound impact on global energy consumption, shedding light on a topic that was previously unexplored.
And speaking of shedding light, did you hear about the fire at the circus? It was in tents! Thank you, thank you – I'll be here all week.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our study has revealed a striking and statistically significant correlation between the number of Associate degrees awarded in Engineering technologies and global kerosene consumption. This unexpected connection raises intriguing questions about the potential influence of engineering education on energy usage patterns worldwide.

While our findings do not establish a direct cause-and-effect relationship, they do suggest that there may be more to this correlation than meets the eye. It's like discovering that peanut butter and jelly are a winning combination – we can't ignore the potential synergy between these seemingly unrelated factors.

Therefore, we recommend that future research delves deeper into the mechanisms underpinning this correlation. Perhaps there's a kernel of truth in the idea that the knowledge and skills acquired through engineering technology programs are somehow linked to the demand for kerosene on a global scale. It's like we've stumbled upon a scholarly "pear" of wisdom in an unexpected place.

However, as we wrap up this discussion, it's important to recognize that our findings represent just the tip of the iceberg, or shall we say, just the tip of the flame. The journey to fully understanding this relationship may yet unveil surprising twists and turns, much like a good mystery novel – or a particularly sizzling barbecue.

Moreover, given the significance of our results and the potential implications for energy policy and educational strategies, it seems prudent to pursue further inquiry into this fascinating correlation. We must kindle the flames of curiosity and keep the fire of investigation burning bright, much like a well-attended summer campfire.

In summary, while our study has shed light on an unexpected correlation, it's clear that there is much more to uncover in the realm of educational attainment and its impact on global energy consumption. It's like a puzzle with a few missing pieces – there's more to the story, and we're eager to piece it together.

And finally, in the spirit of academic rigor and a touch of good humor, let's end on a light note: Why don't we ever tell secrets on a farm? Because the potatoes have eyes and the corn has ears! Thank you, thank you – I'll be here all week.

In closing, it seems evident that no further research in this area is needed. After all, we wouldn't want to overkill the kerosene!

Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of academic journals. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding research, scientific, or academic journal that would publish a paper entited From Degrees to Fuel: Exploring the Correlation Between Engineering Technology Associate Degrees and Global Kerosene Consumption. Respond only with the name of a fictional academic journal.

ChatGPT:

Journal of Technological Innovations and Energy Consumption

Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of nonprofit research organizations and associations. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding nonprofit, academic, or scientific association or organization that would sponsor research that resulted in a paper entited From Degrees to Fuel: Exploring the Correlation Between Engineering Technology Associate Degrees and Global Kerosene Consumption. Respond only with the name of a fictional organization.

ChatGPT:

The International Association for Renewable Energy and Engineering 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 From Degrees to Fuel: Exploring the Correlation Between Engineering Technology Associate Degrees and Global Kerosene Consumption with an abstract of In this study, we delved into the intriguing relationship between the number of Associate degrees awarded in Engineering technologies and the global usage of kerosene. While some may think comparing these two vastly different factors is like trying to mix oil and water, our findings show that there might just be a surprising link between them.
Using data from the National Center for Education Statistics and the Energy Information Administration, we crunched the numbers and uncovered a correlation coefficient of 0.9608796 and a statistically significant p-value of less than 0.01 for the period from 2011 to 2021. These results suggest a strong relationship between the two variables, which raises the question: are more Engineering technology graduates leading to a surge in late-night studying fueled by kerosene lamps, or is there a more complex cause-and-effect relationship at play? It seems we've stumbled upon an "illuminating" discovery.
Although drawing direct causation from this correlation would be like saying that ice cream consumption causes shark attacks simply because they both occur more frequently in the summer, the findings open up a realm of possibilities for speculation and further investigation. Perhaps the burning ambition of these engineering graduates is somehow connected to the burning of kerosene lamps in remote regions. After all, with their bright ideas, it's no wonder they're shedding light on new connections.
In conclusion, our research sheds light on a previously unexplored correlation and calls for further investigation into the mechanisms behind it. As we continue to unravel this unexpected tie between educational attainment in a specific field and global energy consumption, we urge the academic community to approach this topic with the same curiosity and open-mindedness as we did. Let's keep the flame of inquiry burning bright!

ChatGPT:

Engineering technology, associate degrees, global kerosene consumption, correlation, National Center for Education Statistics, Energy Information Administration, late-night studying, kerosene lamps, correlation coefficient, p-value, causation, speculation, exploration, educational attainment, global energy consumption, research, academic community

*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 Engineering technologies
Detailed data title: Associate's degrees conferred by postsecondary institutions with a field of study of Engineering technologies
Source: National Center for Education Statistics
See what else correlates with Associates degrees awarded in Engineering technologies

Kerosene used globally
Detailed data title: Kerosene used globally in millions of barrels per day
Source: Energy Information Administration
See what else correlates with Kerosene used globally

Correlation r = 0.9608796 (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 = 0.9232896 (Coefficient of determination)
This means 92.3% of the change in the one variable (i.e., Kerosene used globally) is predictable based on the change in the other (i.e., Associates degrees awarded in Engineering technologies) over the 11 years from 2011 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 2.6E-6.^Show 0.0000025628547120375686000000
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 0.96 in 0.00026% of random cases. Said differently, if you correlated 390,190 random variables^Note You don't actually need 390 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 10 degrees of freedom, ^Note 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.

[ 0.85, 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.

	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021
Associates degrees awarded in Engineering technologies (Degrees awarded)	60890	63107	59277	56729	56585	52485	53150	53309	53252	49423	48748
Kerosene used globally (Million Barrels/Day)	1087.09	1052.17	989.492	928.981	869.07	836.509	806.53	762.194	725.943	658.02	632.512

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([60890,63107,59277,56729,56585,52485,53150,53309,53252,49423,48748,])
array_2 = np.array([1087.09,1052.17,989.492,928.981,869.07,836.509,806.53,762.194,725.943,658.02,632.512,])
array_1_name = "Associates degrees awarded in Engineering technologies"
array_2_name = "Kerosene used globally"

# 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
Scatterplot
Portable line chart (png)
Portable line chart (png), optimized for mobile
Line chart for only Associates degrees awarded in Engineering technologies
Line chart for only Kerosene used globally
AI-generated correlation image
The spurious research paper: From Degrees to Fuel: Exploring the Correlation Between Engineering Technology Associate Degrees and Global Kerosene Consumption

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Correlation ID: 2665 · Black Variable ID: 1225 · Red Variable ID: 24117


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