Spurious correlation #3,479 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is The number of university philosophy and religion teachers in Utah and the second variable is Jet fuel used in Algeria. The chart goes from 2003 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 The number of university philosophy and religion teachers in Utah and the second variable is Jet fuel used in Algeria. The chart goes from 2003 to 2021, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As the number of university philosophy and religion teachers in Utah grows, so does their expertise in deep thinking. This intellectual expansion somehow manages to transcend borders, leading to a spike in pondering about the nature of jet fuel usage in Algeria. It's like they're fuelling a whole new level of introspective contemplation! It's a plane mystery how this correlation has taken off, but it seems like Utah's academic gurus are reaching lofty heights of influence. In the end, it's all about propelling the power of thought, and these teachers are really soaring to new philosophical and religious altitudes.

^{Show image generation prompt} Model: dalle-3
Prompt: Embed a cute, cartoon-inspired representation of a bustling Utah lecture hall filled with university philosophy and religion teachers engrossed in profound discussions about the meaning of life and existence. Show the teachers exchanging ideas in an inviting and vibrant space. Intertwine this with an adorable portrayal of an airport in Algeria, highlighting a row of adorable, whimsical airplanes refueling with jet fuel. Convey the increased activity as people venture to the country in pursuit of self-discovery influenced by the teachings of the Utah professors. This image should capture the essence of intellectual exchange and global exploration in a visually appealing and approachable manner. 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: The number of university philosophy and religion teachers in Utah and Jet fuel used in Algeria. 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: Cyberpunk Magic realism 3D Pixar Style Oragami Cutsy graphics
ChatGPT: Cutsy graphics

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 The number of university philosophy and religion teachers in Utah and Jet fuel used in Algeria, in the following situation: Jet fuel used in Algeria increased because the influx of university philosophy and religion teachers in Utah caused a surge in existential questioning, leading to a spike in people searching for meaning and deciding to travel to Algeria to find themselves. And, you know, traveling requires jet fuel.. Keep the description simple.
ChatGPT: In Utah, a group of university philosophy and religion teachers gather in a lecture hall, engaging in deep discussions about the meaning of life and existence. Meanwhile, at an airport in Algeria, a line of planes is refueling with jet fuel, reflecting the increase in travel to the country as people search for meaning and self-discovery inspired by the teachings of the Utah professors.

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: [ Cutsy graphics ] and depicting this scene: In Utah, a group of university philosophy and religion teachers gather in a lecture hall, engaging in deep discussions about the meaning of life and existence. Meanwhile, at an airport in Algeria, a line of planes is refueling with jet fuel, reflecting the increase in travel to the country as people search for meaning and self-discovery inspired by the teachings of the Utah professors. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Embed a cute, cartoon-inspired representation of a bustling Utah lecture hall filled with university philosophy and religion teachers engrossed in profound discussions about the meaning of life and existence. Show the teachers exchanging ideas in an inviting and vibrant space. Intertwine this with an adorable portrayal of an airport in Algeria, highlighting a row of adorable, whimsical airplanes refueling with jet fuel. Convey the increased activity as people venture to the country in pursuit of self-discovery influenced by the teachings of the Utah professors. This image should capture the essence of intellectual exchange and global exploration in a visually appealing and approachable manner.

*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 increases in The number of university philosophy and religion teachers in Utah positively influenced Jet fuel used in Algeria. Include one good pun.

AI academic paper

(Because p < 0.01)

Fueling the Mind: The Jet-Setting Connection Between Philosophy and Religion Teachers in Utah and Jet Fuel Consumption in Algeria

The Journal of Transcendent Travel and Thought

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 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 The number of university philosophy and religion teachers in Utah and Jet fuel used in Algeria. 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 some movies that you watched that are tangentially related to the topic.

Here is the title and abstract of the paper:
[[TITLE]]
"Fueling the Mind: The Jet-Setting Connection Between Philosophy and Religion Teachers in Utah and Jet Fuel Consumption in Algeria"

[[ABSTRACT]]
This study delves into the intriguing correlation between the number of university philosophy and religion teachers in the scenic landscapes of Utah and the consumption of jet fuel in the captivating deserts of Algeria. Through rigorous data analysis utilizing the Bureau of Labor Statistics and the Energy Information Administration, we sought to unravel the mysterious relationship between these seemingly unrelated variables.

In our quest to uncover unexpected linkages, we stumbled upon a correlation coefficient of 0.8688593 and an impressively low p-value of less than 0.01, spanning the years from 2003 to 2021. Our findings suggest a robust statistical relationship that may leave some scratching their heads, much like a philosopher pondering the meaning of life or a jet fuel technician pondering the intricacies of aircraft propulsion. It seems that the teachings of philosophy and religion in Utah hold a captivating sway on the jet fuel consumption in the distant land of Algeria. As the saying goes, "When it comes to fueling the mind, don't underestimate the power of philosophical pondering!"

Our findings not only contribute to the enthralling world of interdisciplinary connections but also offer a lighthearted reminder that even the most unexpected pairings can provide valuable insights. So, as we reflect on the whimsical link between this disparate duo, let us embrace the spirit of curiosity and be open to uncovering unexpected relationships, much like stumbling upon a pun that you can't help but laugh at, no matter how much you try to resist.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
In the thrilling world of academic research, where one dons the cloak of data analysis and wields the sword of statistical significance, our team embarks on an expedition to unravel the mysterious connection between the number of university philosophy and religion teachers in the breathtaking state of Utah and the soaring consumption of jet fuel in the captivating deserts of Algeria. It's a research journey that's sure to "take off" in unexpected ways – pun intended.
As we peer through the lens of interdisciplinary inquiry, we are reminded of a classic dad joke: "What do you call a fuel derived from almonds? Jet-fuel!" The pun may be cheesy, but our study aims to uncover the deliciously unexpected link between these seemingly unrelated variables with the precision of a scholar examining ancient texts and the curiosity of a scientist experimenting in the laboratory.
The relationship between these two disparate entities has been shrouded in enigma, much like the enduring mystery of why researchers always seem to find themselves in need of more coffee as they delve deeper into their data analysis. Yet, armed with the Bureau of Labor Statistics and the Energy Information Administration as our guide, we venture forth to shed light on this inexplicable pairing that may leave some scratching their heads, not unlike the bewilderment of trying to decipher the punchline of a particularly cryptic joke.
Our pursuit of understanding leads us to a correlation coefficient of 0.8688593 and a p-value of less than 0.01, spanning a timeline from 2003 to 2021. This robust statistical relationship stands as a testament to the fascinating interplay between these variables, reminiscent of the intricate dance between cause and effect, much like a philosophical discourse unfolding among scholars or the intricate interplay between fuel, air, and combustion within the confines of a jet engine. They say that "correlation does not imply causation," but in this case, the connection between philosophical teachings and jet fuel consumption may just fuel further philosophical pondering.
As we embark on this intellectual odyssey, we invite our fellow researchers to join us in embracing the unexpected, for in the realm of academia, as in life, there's always a chance of stumbling upon a hidden gem of insight when we least expect it. After all, what's research without a few surprising twists and a healthy dose of intellectual humor?

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

Previous studies have focused on uncovering unexpected relationships between seemingly unrelated variables in the realms of academia, industry, and everyday life. Smith et al. (2015) examined the correlation between coffee consumption among university faculty and the frequency of campus squirrel sightings, delving into the captivating world of caffeinated academia and peculiar animal behavior. Doe and Jones (2018) delved into a perplexing connection between the color of office walls and the frequency of office supply restocking, shedding light on the enigmatic influence of interior design on workplace productivity.

But as we turn our attention to the enthralling correlation between the number of university philosophy and religion teachers in Utah and the consumption of jet fuel in Algeria, let's not forget a classic dad joke: "What do you call a philosopher who becomes an airline pilot? A pilot-osopher!" This whimsical play on words sets the stage for our exploration, reminding us that the unexpected connections we uncover may just leave us chuckling at the delightful quirkiness of the universe.

In "The Philosophy of Fuel" by Lorem and Ipsum (2009), the authors delve into the age-old question of whether jet fuel dreams of soaring through the skies while pondering the meaning of existence. This philosophical inquiry, intertwined with the practicalities of fuel production and consumption, sets the foundation for our examination of the intriguing link between the teachings of philosophy and religion in Utah and the demand for jet fuel in Algeria. After all, as the old saying goes, "Jet fuel may power airplanes, but it's the power of philosophical contemplation that truly fuels the mind."

Shifting our focus to various literary works, "The Jet Setter's Guide to Philosophical Musings" by Arthur C. Clarke and "Religious Reflections at 30,000 Feet" by J.D. Salinger offer fictional perspectives on the intersection of philosophical discourse and airborne travel, providing a lighthearted backdrop to our investigation. As we navigate through the captivating landscapes of interdisciplinary inquiry, it's essential to embrace the whimsical and the unexpected, much like stumbling upon a well-timed pun that leaves everyone in stitches, regardless of the scholarly facade.

In the world of cinema, movies such as "The Philosopher's Stone" and "Jet Fuel: A Love Story" capture the essence of our exploration, albeit in fictional and perhaps slightly dramatized forms. These cinematic offerings serve as a playful reminder that even the most seemingly disparate elements—be it the teachings of philosophy or the consumption of jet fuel—can intertwine in ways that spark curiosity and amusement, leaving us pondering the unexpected connections that life, and research, may hold.

As we delve deeper into the literature, let us not lose sight of the lighthearted spirit of inquiry, for in the pursuit of knowledge, a well-placed jest or a humorous twist may just lead us to uncover the most profound insights. After all, who says academic research can't have a touch of levity and a dash of delight?

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 The number of university philosophy and religion teachers in Utah and Jet fuel used in Algeria. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from Bureau of Larbor Statistics and Energy Information Administration . You used data from 2003 to 2021

Make up the research methods you don't know. Make them a bit goofy and convoluted.

Here is the title, abstract, and introduction of the paper:
[[TITLE]]
"Fueling the Mind: The Jet-Setting Connection Between Philosophy and Religion Teachers in Utah and Jet Fuel Consumption in Algeria"

[[ABSTRACT]]
This study delves into the intriguing correlation between the number of university philosophy and religion teachers in the scenic landscapes of Utah and the consumption of jet fuel in the captivating deserts of Algeria. Through rigorous data analysis utilizing the Bureau of Labor Statistics and the Energy Information Administration, we sought to unravel the mysterious relationship between these seemingly unrelated variables.

In our quest to uncover unexpected linkages, we stumbled upon a correlation coefficient of 0.8688593 and an impressively low p-value of less than 0.01, spanning the years from 2003 to 2021. Our findings suggest a robust statistical relationship that may leave some scratching their heads, much like a philosopher pondering the meaning of life or a jet fuel technician pondering the intricacies of aircraft propulsion. It seems that the teachings of philosophy and religion in Utah hold a captivating sway on the jet fuel consumption in the distant land of Algeria. As the saying goes, "When it comes to fueling the mind, don't underestimate the power of philosophical pondering!"

Our findings not only contribute to the enthralling world of interdisciplinary connections but also offer a lighthearted reminder that even the most unexpected pairings can provide valuable insights. So, as we reflect on the whimsical link between this disparate duo, let us embrace the spirit of curiosity and be open to uncovering unexpected relationships, much like stumbling upon a pun that you can't help but laugh at, no matter how much you try to resist.

[[INTRODUCTION]]
In the thrilling world of academic research, where one dons the cloak of data analysis and wields the sword of statistical significance, our team embarks on an expedition to unravel the mysterious connection between the number of university philosophy and religion teachers in the breathtaking state of Utah and the soaring consumption of jet fuel in the captivating deserts of Algeria. It's a research journey that's sure to "take off" in unexpected ways – pun intended.
As we peer through the lens of interdisciplinary inquiry, we are reminded of a classic dad joke: "What do you call a fuel derived from almonds? Jet-fuel!" The pun may be cheesy, but our study aims to uncover the deliciously unexpected link between these seemingly unrelated variables with the precision of a scholar examining ancient texts and the curiosity of a scientist experimenting in the laboratory.
The relationship between these two disparate entities has been shrouded in enigma, much like the enduring mystery of why researchers always seem to find themselves in need of more coffee as they delve deeper into their data analysis. Yet, armed with the Bureau of Labor Statistics and the Energy Information Administration as our guide, we venture forth to shed light on this inexplicable pairing that may leave some scratching their heads, not unlike the bewilderment of trying to decipher the punchline of a particularly cryptic joke.
Our pursuit of understanding leads us to a correlation coefficient of 0.8688593 and a p-value of less than 0.01, spanning a timeline from 2003 to 2021. This robust statistical relationship stands as a testament to the fascinating interplay between these variables, reminiscent of the intricate dance between cause and effect, much like a philosophical discourse unfolding among scholars or the intricate interplay between fuel, air, and combustion within the confines of a jet engine. They say that "correlation does not imply causation," but in this case, the connection between philosophical teachings and jet fuel consumption may just fuel further philosophical pondering.
As we embark on this intellectual odyssey, we invite our fellow researchers to join us in embracing the unexpected, for in the realm of academia, as in life, there's always a chance of stumbling upon a hidden gem of insight when we least expect it. After all, what's research without a few surprising twists and a healthy dose of intellectual humor?

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

To unravel the captivating correlation between the number of university philosophy and religion teachers in the picturesque corners of Utah and the soaring consumption of jet fuel in the mesmerizing deserts of Algeria, our research team employed a blend of meticulous data collection and statistical analysis, akin to brewing the perfect cup of coffee infused with a dash of obscure wit.

First, we scoured the labyrinth of the internet, navigating the virtual wilderness much like intrepid explorers seeking treasure, to gather data from the Bureau of Labor Statistics and the Energy Information Administration. These digital behemoths served as our trusty guides through the jungle of information, illuminating our path with the gleam of statistical insights and energy consumption trends. We extracted data spanning the years from 2003 to 2021, capturing the flux and flow of both academic teachings in Utah and the steadfast consumption of jet fuel in Algeria, much like a historian documenting the ebb and flow of civilizations or an enthusiast meticulously curating their collection of classic jokes.

To peer into the enigmatic connection between these seemingly unrelated variables, we gleefully embraced the spirit of statistical analysis, wielding the tools of correlation coefficients and regression models with the finesse of a seasoned artisan crafting a masterpiece. Like a quest for buried treasure, we harnessed the power of correlation coefficients to measure the strength and direction of the relationship between the number of university philosophy and religion teachers in Utah and the consumption of jet fuel in Algeria. Our exploration unveiled a correlation coefficient of 0.8688593, boldly illuminating the existence of a robust link that may rival the mysteries of ancient riddles or the complexity of deciphering an intricate mathematical equation.

In addition, our quest for understanding led us to the hallowed ground of p-values, where we sought to unearth the significance of our findings with the keen-eyed scrutiny of an archeologist poring over ancient relics. Much to our delight, we unearthed a p-value of less than 0.01, signifying a level of significance that commands attention and beckons to the curious minds of scholars and aficionados of statistical intrigue alike, much like stumbling upon a punchline that elicits an unexpected burst of laughter in the midst of solemn discourse.

Finally, we employed regression analysis to delve deeper into the intricate dance between these variables, much like a maestro orchestrating a mesmerizing symphony of data. We carefully constructed models to explore the potential predictive power of the number of university philosophy and religion teachers in Utah on the consumption of jet fuel in Algeria, savoring the intricacies of statistical inference much like connoisseurs relishing the flavors of an aged wine. This analytical escapade allowed us to uncover the nuanced relationship between these divergent elements, painting a portrait of interconnectedness that may inspire contemplation akin to the musings of a philosopher lost in introspection or an engineer marveling at the intricacies of aviation technology.

In summary, our methodology involved a blend of rigorous data collection, statistical analysis, and a touch of intellectual curiosity, intertwining the precision of scientific inquiry with the whimsy of unexpected discoveries. As we forged ahead in this scholarly quest, we embraced the art of statistical exploration with a lighthearted spirit, akin to navigating a maze of intellectual intrigue with a trusty map and a boundless sense of wonder.

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 The number of university philosophy and religion teachers in Utah and Jet fuel used in Algeria. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from Bureau of Larbor Statistics and Energy Information Administration .

For the time period 2003 to 2021, you found a correlation 0.8688593, r-squared of 0.7549165, and p < 0.01.

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

Here is the title and abstract of the paper:
[[TITLE]]
"Fueling the Mind: The Jet-Setting Connection Between Philosophy and Religion Teachers in Utah and Jet Fuel Consumption in Algeria"

[[ABSTRACT]]
This study delves into the intriguing correlation between the number of university philosophy and religion teachers in the scenic landscapes of Utah and the consumption of jet fuel in the captivating deserts of Algeria. Through rigorous data analysis utilizing the Bureau of Labor Statistics and the Energy Information Administration, we sought to unravel the mysterious relationship between these seemingly unrelated variables.

In our quest to uncover unexpected linkages, we stumbled upon a correlation coefficient of 0.8688593 and an impressively low p-value of less than 0.01, spanning the years from 2003 to 2021. Our findings suggest a robust statistical relationship that may leave some scratching their heads, much like a philosopher pondering the meaning of life or a jet fuel technician pondering the intricacies of aircraft propulsion. It seems that the teachings of philosophy and religion in Utah hold a captivating sway on the jet fuel consumption in the distant land of Algeria. As the saying goes, "When it comes to fueling the mind, don't underestimate the power of philosophical pondering!"

Our findings not only contribute to the enthralling world of interdisciplinary connections but also offer a lighthearted reminder that even the most unexpected pairings can provide valuable insights. So, as we reflect on the whimsical link between this disparate duo, let us embrace the spirit of curiosity and be open to uncovering unexpected relationships, much like stumbling upon a pun that you can't help but laugh at, no matter how much you try to resist.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
In the thrilling world of academic research, where one dons the cloak of data analysis and wields the sword of statistical significance, our team embarks on an expedition to unravel the mysterious connection between the number of university philosophy and religion teachers in the breathtaking state of Utah and the soaring consumption of jet fuel in the captivating deserts of Algeria. It's a research journey that's sure to "take off" in unexpected ways – pun intended.
As we peer through the lens of interdisciplinary inquiry, we are reminded of a classic dad joke: "What do you call a fuel derived from almonds? Jet-fuel!" The pun may be cheesy, but our study aims to uncover the deliciously unexpected link between these seemingly unrelated variables with the precision of a scholar examining ancient texts and the curiosity of a scientist experimenting in the laboratory.
The relationship between these two disparate entities has been shrouded in enigma, much like the enduring mystery of why researchers always seem to find themselves in need of more coffee as they delve deeper into their data analysis. Yet, armed with the Bureau of Labor Statistics and the Energy Information Administration as our guide, we venture forth to shed light on this inexplicable pairing that may leave some scratching their heads, not unlike the bewilderment of trying to decipher the punchline of a particularly cryptic joke.
Our pursuit of understanding leads us to a correlation coefficient of 0.8688593 and a p-value of less than 0.01, spanning a timeline from 2003 to 2021. This robust statistical relationship stands as a testament to the fascinating interplay between these variables, reminiscent of the intricate dance between cause and effect, much like a philosophical discourse unfolding among scholars or the intricate interplay between fuel, air, and combustion within the confines of a jet engine. They say that "correlation does not imply causation," but in this case, the connection between philosophical teachings and jet fuel consumption may just fuel further philosophical pondering.
As we embark on this intellectual odyssey, we invite our fellow researchers to join us in embracing the unexpected, for in the realm of academia, as in life, there's always a chance of stumbling upon a hidden gem of insight when we least expect it. After all, what's research without a few surprising twists and a healthy dose of intellectual humor?

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

The analysis of the data revealed a striking correlation between the number of university philosophy and religion teachers in Utah and the consumption of jet fuel in Algeria. The correlation coefficient of 0.8688593 suggests a strong positive relationship between these seemingly unrelated variables, much like the surprising bond between a philosopher waxing eloquent about the nature of existence and a jet fuel technician meticulously examining the inner workings of a turbine engine. It's a reminder that in the world of statistics, there's always the potential for unexpected connections to emerge, akin to stumbling upon a well-crafted pun in the midst of a serious conversation.

The r-squared value of 0.7549165 further underscores the robustness of the relationship, indicating that approximately 75.49% of the variation in jet fuel consumption in Algeria can be explained by the number of philosophy and religion teachers in Utah. This finding serves as a testament to the power of interdisciplinary inquiry – a veritable confluence of the intellectual musings of philosophers and the mechanical marvels of modern aviation.

Now, I must "jet" off to continue this rib-tickling journey, but remember: the next time you're pondering the mysteries of the universe, don't underestimate the potential for unexpected connections. After all, as researchers, it's in our "DNA" to uncover the hidden gems of knowledge, much like a cleverly concealed dad joke waiting to elicit a chuckle from even the most stoic of academics.

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 The number of university philosophy and religion teachers in Utah and Jet fuel used in Algeria. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Limit your response to 500 tokens.

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

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

[[TITLE]]
"Fueling the Mind: The Jet-Setting Connection Between Philosophy and Religion Teachers in Utah and Jet Fuel Consumption in Algeria"

[[ABSTRACT]]
This study delves into the intriguing correlation between the number of university philosophy and religion teachers in the scenic landscapes of Utah and the consumption of jet fuel in the captivating deserts of Algeria. Through rigorous data analysis utilizing the Bureau of Labor Statistics and the Energy Information Administration, we sought to unravel the mysterious relationship between these seemingly unrelated variables.

In our quest to uncover unexpected linkages, we stumbled upon a correlation coefficient of 0.8688593 and an impressively low p-value of less than 0.01, spanning the years from 2003 to 2021. Our findings suggest a robust statistical relationship that may leave some scratching their heads, much like a philosopher pondering the meaning of life or a jet fuel technician pondering the intricacies of aircraft propulsion. It seems that the teachings of philosophy and religion in Utah hold a captivating sway on the jet fuel consumption in the distant land of Algeria. As the saying goes, "When it comes to fueling the mind, don't underestimate the power of philosophical pondering!"

Our findings not only contribute to the enthralling world of interdisciplinary connections but also offer a lighthearted reminder that even the most unexpected pairings can provide valuable insights. So, as we reflect on the whimsical link between this disparate duo, let us embrace the spirit of curiosity and be open to uncovering unexpected relationships, much like stumbling upon a pun that you can't help but laugh at, no matter how much you try to resist.

[[LITERATURE REVIEW]]
Previous studies have focused on uncovering unexpected relationships between seemingly unrelated variables in the realms of academia, industry, and everyday life. Smith et al. (2015) examined the correlation between coffee consumption among university faculty and the frequency of campus squirrel sightings, delving into the captivating world of caffeinated academia and peculiar animal behavior. Doe and Jones (2018) delved into a perplexing connection between the color of office walls and the frequency of office supply restocking, shedding light on the enigmatic influence of interior design on workplace productivity.
But as we turn our attention to the enthralling correlation between the number of university philosophy and religion teachers in Utah and the consumption of jet fuel in Algeria, let's not forget a classic dad joke: "What do you call a philosopher who becomes an airline pilot? A pilot-osopher!" This whimsical play on words sets the stage for our exploration, reminding us that the unexpected connections we uncover may just leave us chuckling at the delightful quirkiness of the universe.
In "The Philosophy of Fuel" by Lorem and Ipsum (2009), the authors delve into the age-old question of whether jet fuel dreams of soaring through the skies while pondering the meaning of existence. This philosophical inquiry, intertwined with the practicalities of fuel production and consumption, sets the foundation for our examination of the intriguing link between the teachings of philosophy and religion in Utah and the demand for jet fuel in Algeria. After all, as the old saying goes, "Jet fuel may power airplanes, but it's the power of philosophical contemplation that truly fuels the mind."
Shifting our focus to various literary works, "The Jet Setter's Guide to Philosophical Musings" by Arthur C. Clarke and "Religious Reflections at 30,000 Feet" by J.D. Salinger offer fictional perspectives on the intersection of philosophical discourse and airborne travel, providing a lighthearted backdrop to our investigation. As we navigate through the captivating landscapes of interdisciplinary inquiry, it's essential to embrace the whimsical and the unexpected, much like stumbling upon a well-timed pun that leaves everyone in stitches, regardless of the scholarly facade.
In the world of cinema, movies such as "The Philosopher's Stone" and "Jet Fuel: A Love Story" capture the essence of our exploration, albeit in fictional and perhaps slightly dramatized forms. These cinematic offerings serve as a playful reminder that even the most seemingly disparate elements—be it the teachings of philosophy or the consumption of jet fuel—can intertwine in ways that spark curiosity and amusement, leaving us pondering the unexpected connections that life, and research, may hold.
As we delve deeper into the literature, let us not lose sight of the lighthearted spirit of inquiry, for in the pursuit of knowledge, a well-placed jest or a humorous twist may just lead us to uncover the most profound insights. After all, who says academic research can't have a touch of levity and a dash of delight?

[[RESULTS]]
The analysis of the data revealed a striking correlation between the number of university philosophy and religion teachers in Utah and the consumption of jet fuel in Algeria. The correlation coefficient of 0.8688593 suggests a strong positive relationship between these seemingly unrelated variables, much like the surprising bond between a philosopher waxing eloquent about the nature of existence and a jet fuel technician meticulously examining the inner workings of a turbine engine. It's a reminder that in the world of statistics, there's always the potential for unexpected connections to emerge, akin to stumbling upon a well-crafted pun in the midst of a serious conversation.
The r-squared value of 0.7549165 further underscores the robustness of the relationship, indicating that approximately 75.49% of the variation in jet fuel consumption in Algeria can be explained by the number of philosophy and religion teachers in Utah. This finding serves as a testament to the power of interdisciplinary inquiry – a veritable confluence of the intellectual musings of philosophers and the mechanical marvels of modern aviation.
Now, I must "jet" off to continue this rib-tickling journey, but remember: the next time you're pondering the mysteries of the universe, don't underestimate the potential for unexpected connections. After all, as researchers, it's in our "DNA" to uncover the hidden gems of knowledge, much like a cleverly concealed dad joke waiting to elicit a chuckle from even the most stoic of academics.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

Our findings resonate with prior research that has delved into the unexpected couplings of disparate variables, from the quirky connection between coffee consumption and squirrel sightings to the confounding relationship between office wall color and office supply restocking. Our study adds to the scholarly landscape by unveiling the statistically robust link between the number of university philosophy and religion teachers in Utah and the consumption of jet fuel in Algeria. It seems that the musings of philosophers and the fervor of jet fuel combustion are intertwined in a manner that even the most astute of scholars may find pleasantly befuddling - rather like a well-timed dad joke that elicits groans and grins in equal measure.

The correlation coefficient of 0.8688593 and the remarkably low p-value affirm the substantive association between these variables. While the sheer juxtaposition of academic disciplines and industrial consumption may leave one scratching their head, the statistical evidence speaks for itself, akin to the undeniable punchline of a well-crafted pun that catches even the staunchest skeptic off guard.

Drawing on the literature review's whimsical exploration of the philosophical underpinnings of jet fuel and the fictional renderings of airborne musings, our empirical investigation corroborates the enduring influence of philosophical teachings in Utah on the jet fuel needs of Algeria. In a sense, it aligns with the speculative ponderings of whether jet fuel dreams lofty dreams as it powers through the skies, intertwining the philosophical nuances of existence with the pragmatic necessities of fueling modern air travel. Just as a well-articulated dad joke can bring levity to the most solemn of gatherings, our study injects a dose of playfulness into the realm of interdisciplinary inquiry, reminding us that unexpected connections can lend a touch of whimsy to the pursuit of knowledge.

As we navigate through the exhilarating landscape of interdisciplinary connections, our findings prompt a reconsideration of the boundaries and possibilities that academic research holds. Much like the captivating allure of a clever dad joke, the pursuit of knowledge is rife with the potential for unforeseen revelations that defy conventional wisdom and elicit both laughter and wonder. So, as we contemplate the uncanny correlation between philosophy teachers and jet fuel consumption, let us embrace the enduring spirit of curiosity and the unyielding penchant for uncovering unexpected relationships - after all, as the proverbial dad joke goes, "Where do philosophers travel for vacation? To a place of plane and simple pondering!"

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 The number of university philosophy and religion teachers in Utah and Jet fuel used in Algeria. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
"Fueling the Mind: The Jet-Setting Connection Between Philosophy and Religion Teachers in Utah and Jet Fuel Consumption in Algeria"

[[ABSTRACT]]
This study delves into the intriguing correlation between the number of university philosophy and religion teachers in the scenic landscapes of Utah and the consumption of jet fuel in the captivating deserts of Algeria. Through rigorous data analysis utilizing the Bureau of Labor Statistics and the Energy Information Administration, we sought to unravel the mysterious relationship between these seemingly unrelated variables.

In our quest to uncover unexpected linkages, we stumbled upon a correlation coefficient of 0.8688593 and an impressively low p-value of less than 0.01, spanning the years from 2003 to 2021. Our findings suggest a robust statistical relationship that may leave some scratching their heads, much like a philosopher pondering the meaning of life or a jet fuel technician pondering the intricacies of aircraft propulsion. It seems that the teachings of philosophy and religion in Utah hold a captivating sway on the jet fuel consumption in the distant land of Algeria. As the saying goes, "When it comes to fueling the mind, don't underestimate the power of philosophical pondering!"

Our findings not only contribute to the enthralling world of interdisciplinary connections but also offer a lighthearted reminder that even the most unexpected pairings can provide valuable insights. So, as we reflect on the whimsical link between this disparate duo, let us embrace the spirit of curiosity and be open to uncovering unexpected relationships, much like stumbling upon a pun that you can't help but laugh at, no matter how much you try to resist.

[[INTRDUCTION]]
In the thrilling world of academic research, where one dons the cloak of data analysis and wields the sword of statistical significance, our team embarks on an expedition to unravel the mysterious connection between the number of university philosophy and religion teachers in the breathtaking state of Utah and the soaring consumption of jet fuel in the captivating deserts of Algeria. It's a research journey that's sure to "take off" in unexpected ways – pun intended.
As we peer through the lens of interdisciplinary inquiry, we are reminded of a classic dad joke: "What do you call a fuel derived from almonds? Jet-fuel!" The pun may be cheesy, but our study aims to uncover the deliciously unexpected link between these seemingly unrelated variables with the precision of a scholar examining ancient texts and the curiosity of a scientist experimenting in the laboratory.
The relationship between these two disparate entities has been shrouded in enigma, much like the enduring mystery of why researchers always seem to find themselves in need of more coffee as they delve deeper into their data analysis. Yet, armed with the Bureau of Labor Statistics and the Energy Information Administration as our guide, we venture forth to shed light on this inexplicable pairing that may leave some scratching their heads, not unlike the bewilderment of trying to decipher the punchline of a particularly cryptic joke.
Our pursuit of understanding leads us to a correlation coefficient of 0.8688593 and a p-value of less than 0.01, spanning a timeline from 2003 to 2021. This robust statistical relationship stands as a testament to the fascinating interplay between these variables, reminiscent of the intricate dance between cause and effect, much like a philosophical discourse unfolding among scholars or the intricate interplay between fuel, air, and combustion within the confines of a jet engine. They say that "correlation does not imply causation," but in this case, the connection between philosophical teachings and jet fuel consumption may just fuel further philosophical pondering.
As we embark on this intellectual odyssey, we invite our fellow researchers to join us in embracing the unexpected, for in the realm of academia, as in life, there's always a chance of stumbling upon a hidden gem of insight when we least expect it. After all, what's research without a few surprising twists and a healthy dose of intellectual humor?

[[RESULTS]]
The analysis of the data revealed a striking correlation between the number of university philosophy and religion teachers in Utah and the consumption of jet fuel in Algeria. The correlation coefficient of 0.8688593 suggests a strong positive relationship between these seemingly unrelated variables, much like the surprising bond between a philosopher waxing eloquent about the nature of existence and a jet fuel technician meticulously examining the inner workings of a turbine engine. It's a reminder that in the world of statistics, there's always the potential for unexpected connections to emerge, akin to stumbling upon a well-crafted pun in the midst of a serious conversation.
The r-squared value of 0.7549165 further underscores the robustness of the relationship, indicating that approximately 75.49% of the variation in jet fuel consumption in Algeria can be explained by the number of philosophy and religion teachers in Utah. This finding serves as a testament to the power of interdisciplinary inquiry – a veritable confluence of the intellectual musings of philosophers and the mechanical marvels of modern aviation.
Now, I must "jet" off to continue this rib-tickling journey, but remember: the next time you're pondering the mysteries of the universe, don't underestimate the potential for unexpected connections. After all, as researchers, it's in our "DNA" to uncover the hidden gems of knowledge, much like a cleverly concealed dad joke waiting to elicit a chuckle from even the most stoic of academics.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our research has unearthed a captivating correlation between the number of university philosophy and religion teachers in the picturesque landscapes of Utah and the consumption of jet fuel in the mesmerizing deserts of Algeria. It seems that the teachings of philosophy and religion in Utah hold a remarkable sway over the jet fuel consumption in Algeria, much like the allure of a well-crafted dad joke that elicits a chuckle even from the most stoic of academics.

The robust statistical relationship we uncovered, with a correlation coefficient of 0.8688593 and an impressively low p-value, is a testament to the unexpected connections that can emerge in the world of research. It's like stumbling upon a pun in the midst of a serious conversation – a delightful surprise that leaves a lasting impression.

The r-squared value of 0.7549165 further reinforces the strength of this relationship, demonstrating that approximately 75.49% of the variation in jet fuel consumption in Algeria can be explained by the number of philosophy and religion teachers in Utah. Much like the precision of a scholar examining ancient texts, our findings point to the enthralling interplay between these seemingly disparate variables.

At this point, further research may yield diminishing returns, much like trying to dissect a dad joke beyond its initial hilarity. As such, we assert that no more research is needed in this area – it's time to "jet" off to new research endeavors and uncover fresh surprises in the vast landscape 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 Fueling the Mind: The Jet-Setting Connection Between Philosophy and Religion Teachers in Utah and Jet Fuel Consumption in Algeria. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Transcendent Travel and Thought

Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of nonprofit research organizations and associations. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding nonprofit, academic, or scientific association or organization that would sponsor research that resulted in a paper entited Fueling the Mind: The Jet-Setting Connection Between Philosophy and Religion Teachers in Utah and Jet Fuel Consumption in Algeria. Respond only with the name of a fictional organization.

ChatGPT:

The Center for Cross-Cultural Aviation Studies

Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled Fueling the Mind: The Jet-Setting Connection Between Philosophy and Religion Teachers in Utah and Jet Fuel Consumption in Algeria with an abstract of This study delves into the intriguing correlation between the number of university philosophy and religion teachers in the scenic landscapes of Utah and the consumption of jet fuel in the captivating deserts of Algeria. Through rigorous data analysis utilizing the Bureau of Labor Statistics and the Energy Information Administration, we sought to unravel the mysterious relationship between these seemingly unrelated variables.
In our quest to uncover unexpected linkages, we stumbled upon a correlation coefficient of 0.8688593 and an impressively low p-value of less than 0.01, spanning the years from 2003 to 2021. Our findings suggest a robust statistical relationship that may leave some scratching their heads, much like a philosopher pondering the meaning of life or a jet fuel technician pondering the intricacies of aircraft propulsion. It seems that the teachings of philosophy and religion in Utah hold a captivating sway on the jet fuel consumption in the distant land of Algeria. As the saying goes, "When it comes to fueling the mind, don't underestimate the power of philosophical pondering!"
Our findings not only contribute to the enthralling world of interdisciplinary connections but also offer a lighthearted reminder that even the most unexpected pairings can provide valuable insights. So, as we reflect on the whimsical link between this disparate duo, let us embrace the spirit of curiosity and be open to uncovering unexpected relationships, much like stumbling upon a pun that you can't help but laugh at, no matter how much you try to resist.

ChatGPT:

"university philosophy and religion teachers Utah", "jet fuel consumption Algeria", "correlation coefficient analysis", "Bureau of Labor Statistics data", "Energy Information Administration data", "interdisciplinary connections", "unexpected relationships in data analysis"

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

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Data details

The number of university philosophy and religion teachers in Utah
Detailed data title: BLS estimate of philosophy and religion teachers, postsecondary in Utah
Source: Bureau of Larbor Statistics
See what else correlates with The number of university philosophy and religion teachers in Utah

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

Correlation r = 0.8688593 (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 = 0.7549165 (Coefficient of determination)
This means 75.5% of the change in the one variable (i.e., Jet fuel used in Algeria) is predictable based on the change in the other (i.e., The number of university philosophy and religion teachers in Utah) over the 19 years from 2003 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.4E-6.^Show 0.0000013912169948631405000000
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 0.87 in 0.00014% of random cases. Said differently, if you correlated 718,795 random variables^Note You don't actually need 718 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 18 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 18 because we have two variables measured over a period of 19 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.

[ 0.68, 0.95 ] 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.

	2003	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021
The number of university philosophy and religion teachers in Utah (Laborers)	60	90	90	60	50	200	210	190	190	180	190	140	150	170	180	190	160	80	80
Jet fuel used in Algeria (Million Barrels/Day)	8.77732	7.77833	7.99518	7.8431	7.69101	13.2383	13.1442	11	10	11	13	12	12	11	10.8413	12.5794	11.4062	6.23537	6.23537

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([60,90,90,60,50,200,210,190,190,180,190,140,150,170,180,190,160,80,80,])
array_2 = np.array([8.77732,7.77833,7.99518,7.8431,7.69101,13.2383,13.1442,11,10,11,13,12,12,11,10.8413,12.5794,11.4062,6.23537,6.23537,])
array_1_name = "The number of university philosophy and religion teachers in Utah"
array_2_name = "Jet fuel used in Algeria"

# 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 The number of university philosophy and religion teachers in Utah
Line chart for only Jet fuel used in Algeria
AI-generated correlation image
The spurious research paper: Fueling the Mind: The Jet-Setting Connection Between Philosophy and Religion Teachers in Utah and Jet Fuel Consumption in Algeria

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Correlation ID: 3479 · Black Variable ID: 15031 · Red Variable ID: 24128


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