Spurious correlation #1,058 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is The distance between Neptune and Mercury and the second variable is Petroluem consumption in Azerbaijan. The chart goes from 1992 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 distance between Neptune and Mercury and the second variable is Petroluem consumption in Azerbaijan. The chart goes from 1992 to 2021, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As the gravitational pull increased, it created a ripple effect on Earth's magnetic field, leading to improved fuel combustion efficiency in Azerbaijani vehicles.

^{Show image generation prompt} Model: dalle-3
Prompt: Generate an image of a high-tech futuristic scene in Baku, Azerbaijan, where modern spaceships are hovering around the gas stations. The fuel pumps emit a soft glow as they dispense sparkling stardust into the fuel tanks of the spaceships. Citizens can be seen happily talking and laughing as they fill up their spaceship tanks. In the distance, showcase wind turbines adorned with shimmering moonbeam collectors, providing alternative energy to power the city. 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 situation described. You respond only with the scene descriptions provided and say nothing else.
User prompt: Here is a situation: The gravitational pull between Neptune and Mercury created a temporary warp in the space-time continuum, leading to a decrease in intergalactic fuel prices. As a result, Azerbaijan's petroleum consumption decreased, as citizens started carpooling in their spaceships and using alternative energy sources like stardust and moonbeams.. Given that situation, which of the following image descriptions seems most appropriate? Pick the one that seems to be related to one of the variables at hand and the tone of the explanation. Please respond with only one of the following potential descriptions: Concept art Cyberpunk Cybernetic art High-tech Brutalism
ChatGPT: High-tech

Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated and the explanation described. Do not reference graphs or charts; describe physical objects.
User prompt: Please describe a visual scene that depicts the following situation. Keep the description simple. The gravitational pull between Neptune and Mercury created a temporary warp in the space-time continuum, leading to a decrease in intergalactic fuel prices. As a result, Azerbaijan's petroleum consumption decreased, as citizens started carpooling in their spaceships and using alternative energy sources like stardust and moonbeams.
ChatGPT: Imagine a scene where the gas stations in Baku, Azerbaijan, are surrounded by futuristic spaceships with multiple passengers, and the fuel pumps are emitting a soft glow as they dispense sparkling stardust into the fuel tanks. The citizens are happily talking and laughing as they fill up their spaceship tanks, and in the distance, there are wind turbines adorned with shimmering moonbeam collectors, providing alternative energy to power the city.

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: [ High-tech ] and depicting this scene: Imagine a scene where the gas stations in Baku, Azerbaijan, are surrounded by futuristic spaceships with multiple passengers, and the fuel pumps are emitting a soft glow as they dispense sparkling stardust into the fuel tanks. The citizens are happily talking and laughing as they fill up their spaceship tanks, and in the distance, there are wind turbines adorned with shimmering moonbeam collectors, providing alternative energy to power the city. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a high-tech futuristic scene in Baku, Azerbaijan, where modern spaceships are hovering around the gas stations. The fuel pumps emit a soft glow as they dispense sparkling stardust into the fuel tanks of the spaceships. Citizens can be seen happily talking and laughing as they fill up their spaceship tanks. In the distance, showcase wind turbines adorned with shimmering moonbeam collectors, providing alternative energy to power the city.

*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 humerus 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 The distance between Neptune and Mercury caused Petroluem consumption in Azerbaijan to decrease.

AI academic paper

(Because p < 0.01)

Neptonian Nonsense: The Quirky Correlation Between Solar Distance and Petroleum Consumption in Azerbaijan

The Journal of Eccentric Energy Economics

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 distance between Neptune and Mercury and Petroluem consumption in Azerbaijan. Make lots of jokes, goofy observations, and puns.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Perhaps you also got inspiration from some board games that are vaugely related.

Here is the title and abstract of the paper:
[[TITLE]]
Neptonian Nonsense: The Quirky Correlation Between Solar Distance and Petroleum Consumption in Azerbaijan

[[ABSTRACT]]
As we traverse the eccentric, orbital eccentricities of our solar system, we stumbled upon an improbable connection that is truly out of this world - the surprising link between the distance separating Neptune and Mercury, and the petroleum consumption in the land of fire, Azerbaijan. Our research team, employing the celestial insights from Astropy and the energy consumption data from the Energy Information Administration, embarked on an odyssey to unravel this enigmatic association. To our astonishment, a correlation coefficient of 0.7977838 and a statistically significant p-value of less than 0.01 emerged from our analysis spanning the years from 1992 to 2021. Our findings add a cosmic twist to the intricate dance between celestial bodies and earthly fuel consumption, posing the question: is the gravitational pull of Neptune reaching across the cosmos to influence the petrol pumps of Baku? Join us on this whimsical journey through the cosmos and hydrocarbons, where the stars align in the most unexpected ways.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
INTRODUCTION
As we gaze into the cosmos, studying the movements of celestial bodies, we are often left in awe of the mysteries that unfold before our eyes. Our exploration of the universe has led us to uncover many remarkable phenomena, from the enigmatic behavior of black holes to the peculiar planetary dances that unfold in our own solar system. However, none have been quite as whimsical and perplexing as the newfound correlation between the distance from Neptune to Mercury and the petroleum consumption in Azerbaijan.
Our journey into this cosmic conundrum began with a simple question: could there be a connection between the celestial whims of our distant planetary neighbors and the earthly consumption of petroleum in the land of fire? Armed with data from the Energy Information Administration and the computational power of Astropy, we set out to unravel this celestial mystery.
Our quest led us on a cosmic rollercoaster ride, with twists and turns that defied all conventional logic. Yet, through rigorous statistical analysis, we uncovered a correlation coefficient that boldly proclaimed the unexpected connection - a coefficient of 0.7977838, leaving us both astounded and slightly amused. With a p-value of less than 0.01, our findings defied the odds, much like a comet defies the pull of gravity as it streaks through the night sky.
Our research adds a dash of whimsy to the often serious world of scientific inquiry. It raises questions that tickle the imagination and spark curiosity. Is there a cosmic ballet being choreographed by the planets, directing the flow of petroleum in the ancient land of Azerbaijan? Or are we simply witnessing a delightful cosmic coincidence, where the orbits of distant planets align with the energy consumption patterns of a nation?
Join us on this playful odyssey through the universe and the world of hydrocarbons, where data points and constellations converge in ways that are sure to pique the interest of the intergalactic statisticians and astro-economists alike. Let us embark on this journey with open minds and a twinkle in our eyes, for as we delve into the quirky correlation between Solar Distance and Petroleum Consumption in Azerbaijan, we may just find that the universe has more surprises in store for us than we ever dared to imagine.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

The unexpected nexus between the distance from Neptune to Mercury and petroleum consumption in Azerbaijan has flung open the doors to a cosmic carnival of inquiry. Our pursuit of scholarly illumination has been guided by the beacon of knowledge, pointedly seeking to reconcile the seemingly disparate realms of celestial mechanics and energy economics. As we navigate this scholarly sphere, we first venture into the works of eminent researchers who have paved the way in the exploration of astronomical anomalies and energy forecasting.

In "The Planets" by Dava Sobel, the author takes readers on a celestial odyssey, diving into the quirks and eccentricities of the solar system. Little did she know that her stellar narrative would one day align with the peculiar rhythms of energy consumption in distant lands. Meanwhile, in "The Prize" by Daniel Yergin, the saga of the petroleum industry unfolds, detailing the seismic shifts and geopolitical machinations that have shaped the world's energy landscape. As we draw inspiration from these diverse sources, we find ourselves at the crossroads of cosmic curiosities and earthly enterprises, contemplating the interplay of cosmic inertia and market forces.

Venturing further into the literary cosmos, we encounter "The Hitchhiker's Guide to the Galaxy" by Douglas Adams, a whimsical exploration of the universe where the inexplicable becomes the norm. Much like the baffling correlation we seek to unravel, the tale weaves a tapestry of bewildering events that defy conventional logic. In a similar vein, the board game "Twilight Struggle" invites players to navigate the complexities of global power dynamics during the Cold War, offering a parallel to our endeavor of deciphering the enigmatic ties between interplanetary distances and energy usage in Azerbaijan.

As we wade deeper into the scholarly currents, we must pause to acknowledge the gravity of our inquiry, tempered with a generous sprinkling of cosmic levity. The researchers and authors preceding us have laid the groundwork for our stellar expedition, and yet, the uncharted territory before us holds promise of cosmic conundrums and nonsensical nexus that send ripples of amusement through the academic abyss.

With our compass set towards the cosmic beyond, we set sail on the boundless sea of knowledge, charting a course that defies conventional wisdom and beckons us to dance among the stars. The celestial theater awaits our scholarly scrutiny, as we seek to unveil the fantastical patterns that intertwine the orbits of distant worlds with the pulsing rhythms of energy consumption on our own terrestrial sphere.

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 distance between Neptune and Mercury and Petroluem consumption in Azerbaijan. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from Caclculated using Astropy and Energy Information Administration . You used data from 1992 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]]
Neptonian Nonsense: The Quirky Correlation Between Solar Distance and Petroleum Consumption in Azerbaijan

[[ABSTRACT]]
As we traverse the eccentric, orbital eccentricities of our solar system, we stumbled upon an improbable connection that is truly out of this world - the surprising link between the distance separating Neptune and Mercury, and the petroleum consumption in the land of fire, Azerbaijan. Our research team, employing the celestial insights from Astropy and the energy consumption data from the Energy Information Administration, embarked on an odyssey to unravel this enigmatic association. To our astonishment, a correlation coefficient of 0.7977838 and a statistically significant p-value of less than 0.01 emerged from our analysis spanning the years from 1992 to 2021. Our findings add a cosmic twist to the intricate dance between celestial bodies and earthly fuel consumption, posing the question: is the gravitational pull of Neptune reaching across the cosmos to influence the petrol pumps of Baku? Join us on this whimsical journey through the cosmos and hydrocarbons, where the stars align in the most unexpected ways.

[[INTRODUCTION]]
INTRODUCTION
As we gaze into the cosmos, studying the movements of celestial bodies, we are often left in awe of the mysteries that unfold before our eyes. Our exploration of the universe has led us to uncover many remarkable phenomena, from the enigmatic behavior of black holes to the peculiar planetary dances that unfold in our own solar system. However, none have been quite as whimsical and perplexing as the newfound correlation between the distance from Neptune to Mercury and the petroleum consumption in Azerbaijan.
Our journey into this cosmic conundrum began with a simple question: could there be a connection between the celestial whims of our distant planetary neighbors and the earthly consumption of petroleum in the land of fire? Armed with data from the Energy Information Administration and the computational power of Astropy, we set out to unravel this celestial mystery.
Our quest led us on a cosmic rollercoaster ride, with twists and turns that defied all conventional logic. Yet, through rigorous statistical analysis, we uncovered a correlation coefficient that boldly proclaimed the unexpected connection - a coefficient of 0.7977838, leaving us both astounded and slightly amused. With a p-value of less than 0.01, our findings defied the odds, much like a comet defies the pull of gravity as it streaks through the night sky.
Our research adds a dash of whimsy to the often serious world of scientific inquiry. It raises questions that tickle the imagination and spark curiosity. Is there a cosmic ballet being choreographed by the planets, directing the flow of petroleum in the ancient land of Azerbaijan? Or are we simply witnessing a delightful cosmic coincidence, where the orbits of distant planets align with the energy consumption patterns of a nation?
Join us on this playful odyssey through the universe and the world of hydrocarbons, where data points and constellations converge in ways that are sure to pique the interest of the intergalactic statisticians and astro-economists alike. Let us embark on this journey with open minds and a twinkle in our eyes, for as we delve into the quirky correlation between Solar Distance and Petroleum Consumption in Azerbaijan, we may just find that the universe has more surprises in store for us than we ever dared to imagine.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

To lift the veil on the cosmic conspiracy behind the connection between the distance from Neptune to Mercury and petroleum consumption in Azerbaijan, we embarked on a research endeavor that was as multidimensional as the universe itself. Our methodology combined the precision of astrological computations with the earthly scrutiny of energy consumption data, creating a cosmic cocktail that could rival the concoctions of the most imaginative mixologist.

First, we sourced data on the distances between Neptune and Mercury from the archives of Astropy, utilizing the astronomical knowledge distilled within its digital confines. By crunching numbers that were light-years apart, we aimed to pinpoint the celestial positions and their potential impact on the energy consumption landscape of distant lands.

Next, we delved into the terrestrial intricacies of petroleum consumption in Azerbaijan, utilizing the Energy Information Administration as our guide through the labyrinth of fossil fuel figures. We sifted through decades of data, recognizing that while oil reserves might be finite, the oversight of statistical tabulation and analysis is infinite.

In merging these disparate realms of astrological gyrations and petroleum patterns, we applied a statistical alchemy that would make even Isaac Newton raise an inquisitive eyebrow. Employing the venerable tools of correlation analysis and regression modeling, we wove the threads of celestial distances and earthly energy demands into a cosmic tapestry of data-driven deduction.

Our journey through the cosmos and hydrocarbon consumption was not without its detours. To account for potential confounding variables, we also integrated factors such as economic fluctuations, geopolitical events, and perhaps even the occasional cosmic disruption caused by a rogue asteroid or a mischievous comet.

With ample precautions taken to navigate the asteroid belts of methodological pitfalls, we employed robust statistical techniques to establish the correlation coefficient and determine the significance of our findings. Through these analytical maneuvers, we sought to distinguish between celestial serendipity and genuine cosmic causality, all while keeping a watchful eye on the whimsical dance of uncertainty lurking in the cosmic shadows.

Lastly, we bore witness to a statistical spectacle akin to the grand cosmic ballet, as the correlation coefficient of 0.7977838 leapt from the data like a shooting star streaking across the night sky. With a p-value of less than 0.01, our discovery defied the statistical odds in a manner that would make even the most stoic of statisticians crack a celestial grin.

In this stellar saga of methodology, it became clear that our research journey was not merely an exploration of numbers, but a celestial odyssey that unearthed a cosmic correlation both delightful and confounding. Join us, fellow enthusiasts of scientific whimsy, as we unveil the uncharted territories where astrophysics and econometrics intersect, and where Neptune's celestial twirls may just be more than a matter of astronomical happenstance.

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 distance between Neptune and Mercury and Petroluem consumption in Azerbaijan. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from Caclculated using Astropy and Energy Information Administration .

For the time period 1992 to 2021, you found a correlation 0.7977838, r-squared of 0.6364590, 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]]
Neptonian Nonsense: The Quirky Correlation Between Solar Distance and Petroleum Consumption in Azerbaijan

[[ABSTRACT]]
As we traverse the eccentric, orbital eccentricities of our solar system, we stumbled upon an improbable connection that is truly out of this world - the surprising link between the distance separating Neptune and Mercury, and the petroleum consumption in the land of fire, Azerbaijan. Our research team, employing the celestial insights from Astropy and the energy consumption data from the Energy Information Administration, embarked on an odyssey to unravel this enigmatic association. To our astonishment, a correlation coefficient of 0.7977838 and a statistically significant p-value of less than 0.01 emerged from our analysis spanning the years from 1992 to 2021. Our findings add a cosmic twist to the intricate dance between celestial bodies and earthly fuel consumption, posing the question: is the gravitational pull of Neptune reaching across the cosmos to influence the petrol pumps of Baku? Join us on this whimsical journey through the cosmos and hydrocarbons, where the stars align in the most unexpected ways.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
INTRODUCTION
As we gaze into the cosmos, studying the movements of celestial bodies, we are often left in awe of the mysteries that unfold before our eyes. Our exploration of the universe has led us to uncover many remarkable phenomena, from the enigmatic behavior of black holes to the peculiar planetary dances that unfold in our own solar system. However, none have been quite as whimsical and perplexing as the newfound correlation between the distance from Neptune to Mercury and the petroleum consumption in Azerbaijan.
Our journey into this cosmic conundrum began with a simple question: could there be a connection between the celestial whims of our distant planetary neighbors and the earthly consumption of petroleum in the land of fire? Armed with data from the Energy Information Administration and the computational power of Astropy, we set out to unravel this celestial mystery.
Our quest led us on a cosmic rollercoaster ride, with twists and turns that defied all conventional logic. Yet, through rigorous statistical analysis, we uncovered a correlation coefficient that boldly proclaimed the unexpected connection - a coefficient of 0.7977838, leaving us both astounded and slightly amused. With a p-value of less than 0.01, our findings defied the odds, much like a comet defies the pull of gravity as it streaks through the night sky.
Our research adds a dash of whimsy to the often serious world of scientific inquiry. It raises questions that tickle the imagination and spark curiosity. Is there a cosmic ballet being choreographed by the planets, directing the flow of petroleum in the ancient land of Azerbaijan? Or are we simply witnessing a delightful cosmic coincidence, where the orbits of distant planets align with the energy consumption patterns of a nation?
Join us on this playful odyssey through the universe and the world of hydrocarbons, where data points and constellations converge in ways that are sure to pique the interest of the intergalactic statisticians and astro-economists alike. Let us embark on this journey with open minds and a twinkle in our eyes, for as we delve into the quirky correlation between Solar Distance and Petroleum Consumption in Azerbaijan, we may just find that the universe has more surprises in store for us than we ever dared to imagine.

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

Our investigation into the improbable nexus between the cosmic sprawl from Neptune to Mercury and the gushing torrents of petroleum consumption in Azerbaijan has yielded a celestial surprise of astronomical proportions. The statistical analysis of the data amassed from the energy consumption records and the astronomical computations revealed a striking correlation coefficient of 0.7977838. This coefficient, much like a comet hurtling through the cosmos, dazzled us with its unexpected appearance and left us in awe of the cosmic capers that unfold in the celestial ballet.

Accompanying this celestial correlation, we uncovered an r-squared value of 0.6364590, further solidifying the cosmic handshake between distant planets and earthly energy consumption. This r-squared value indicates that approximately 63.65% of the variance in petroleum consumption in Azerbaijan can be explained by the ethereal tango of celestial bodies, leaving just enough room for the whimsical fluctuations of human behavior and economic forces to play their part in this cosmic cocktail.

Furthermore, the p-value of less than 0.01 added a touch of statistical stardust to our findings, signifying a level of significance that defied earthly expectations. This p-value, akin to a captivating meteor shower, illuminated the significance of the relationship between the celestial distances and the earthly consumption of petroleum, beckoning us to ponder the cosmic forces that may be at play in the hydrocarbon hotbed of Azerbaijan.

Fig. 1 portrays the celestial comic dance between the distance from Neptune to Mercury and the petroleum consumption in Azerbaijan, showcasing the compelling correlation that emerged from our data analysis. Like a grand celestial waltz, the data points twirl and whirl in a harmonious union, illustrating the cosmic choreography that may sway the energy patterns of a nation.

In conclusion, our findings present a cosmic conundrum that challenges the conventional boundaries of scientific inquiry. The whimsical weaving of celestial distances and earthly energy consumption beckons us to reconsider the interplay between the extraterrestrial and the terrestrial realms. As we endeavor to unravel the mysteries of the universe, let us not forget that even the most peculiar correlations may harbor secrets that defy our expectations and propel us to explore the cosmos with a curious twinkle in our eyes.

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 distance between Neptune and Mercury and Petroluem consumption in Azerbaijan. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Limit your response to 500 tokens.

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

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

[[TITLE]]
Neptonian Nonsense: The Quirky Correlation Between Solar Distance and Petroleum Consumption in Azerbaijan

[[ABSTRACT]]
As we traverse the eccentric, orbital eccentricities of our solar system, we stumbled upon an improbable connection that is truly out of this world - the surprising link between the distance separating Neptune and Mercury, and the petroleum consumption in the land of fire, Azerbaijan. Our research team, employing the celestial insights from Astropy and the energy consumption data from the Energy Information Administration, embarked on an odyssey to unravel this enigmatic association. To our astonishment, a correlation coefficient of 0.7977838 and a statistically significant p-value of less than 0.01 emerged from our analysis spanning the years from 1992 to 2021. Our findings add a cosmic twist to the intricate dance between celestial bodies and earthly fuel consumption, posing the question: is the gravitational pull of Neptune reaching across the cosmos to influence the petrol pumps of Baku? Join us on this whimsical journey through the cosmos and hydrocarbons, where the stars align in the most unexpected ways.

[[LITERATURE REVIEW]]
The unexpected nexus between the distance from Neptune to Mercury and petroleum consumption in Azerbaijan has flung open the doors to a cosmic carnival of inquiry. Our pursuit of scholarly illumination has been guided by the beacon of knowledge, pointedly seeking to reconcile the seemingly disparate realms of celestial mechanics and energy economics. As we navigate this scholarly sphere, we first venture into the works of eminent researchers who have paved the way in the exploration of astronomical anomalies and energy forecasting.
In "The Planets" by Dava Sobel, the author takes readers on a celestial odyssey, diving into the quirks and eccentricities of the solar system. Little did she know that her stellar narrative would one day align with the peculiar rhythms of energy consumption in distant lands. Meanwhile, in "The Prize" by Daniel Yergin, the saga of the petroleum industry unfolds, detailing the seismic shifts and geopolitical machinations that have shaped the world's energy landscape. As we draw inspiration from these diverse sources, we find ourselves at the crossroads of cosmic curiosities and earthly enterprises, contemplating the interplay of cosmic inertia and market forces.
Venturing further into the literary cosmos, we encounter "The Hitchhiker's Guide to the Galaxy" by Douglas Adams, a whimsical exploration of the universe where the inexplicable becomes the norm. Much like the baffling correlation we seek to unravel, the tale weaves a tapestry of bewildering events that defy conventional logic. In a similar vein, the board game "Twilight Struggle" invites players to navigate the complexities of global power dynamics during the Cold War, offering a parallel to our endeavor of deciphering the enigmatic ties between interplanetary distances and energy usage in Azerbaijan.
As we wade deeper into the scholarly currents, we must pause to acknowledge the gravity of our inquiry, tempered with a generous sprinkling of cosmic levity. The researchers and authors preceding us have laid the groundwork for our stellar expedition, and yet, the uncharted territory before us holds promise of cosmic conundrums and nonsensical nexus that send ripples of amusement through the academic abyss.
With our compass set towards the cosmic beyond, we set sail on the boundless sea of knowledge, charting a course that defies conventional wisdom and beckons us to dance among the stars. The celestial theater awaits our scholarly scrutiny, as we seek to unveil the fantastical patterns that intertwine the orbits of distant worlds with the pulsing rhythms of energy consumption on our own terrestrial sphere.

[[RESULTS]]
Our investigation into the improbable nexus between the cosmic sprawl from Neptune to Mercury and the gushing torrents of petroleum consumption in Azerbaijan has yielded a celestial surprise of astronomical proportions. The statistical analysis of the data amassed from the energy consumption records and the astronomical computations revealed a striking correlation coefficient of 0.7977838. This coefficient, much like a comet hurtling through the cosmos, dazzled us with its unexpected appearance and left us in awe of the cosmic capers that unfold in the celestial ballet.
Accompanying this celestial correlation, we uncovered an r-squared value of 0.6364590, further solidifying the cosmic handshake between distant planets and earthly energy consumption. This r-squared value indicates that approximately 63.65% of the variance in petroleum consumption in Azerbaijan can be explained by the ethereal tango of celestial bodies, leaving just enough room for the whimsical fluctuations of human behavior and economic forces to play their part in this cosmic cocktail.
Furthermore, the p-value of less than 0.01 added a touch of statistical stardust to our findings, signifying a level of significance that defied earthly expectations. This p-value, akin to a captivating meteor shower, illuminated the significance of the relationship between the celestial distances and the earthly consumption of petroleum, beckoning us to ponder the cosmic forces that may be at play in the hydrocarbon hotbed of Azerbaijan.
Fig. 1 portrays the celestial comic dance between the distance from Neptune to Mercury and the petroleum consumption in Azerbaijan, showcasing the compelling correlation that emerged from our data analysis. Like a grand celestial waltz, the data points twirl and whirl in a harmonious union, illustrating the cosmic choreography that may sway the energy patterns of a nation.
In conclusion, our findings present a cosmic conundrum that challenges the conventional boundaries of scientific inquiry. The whimsical weaving of celestial distances and earthly energy consumption beckons us to reconsider the interplay between the extraterrestrial and the terrestrial realms. As we endeavor to unravel the mysteries of the universe, let us not forget that even the most peculiar correlations may harbor secrets that defy our expectations and propel us to explore the cosmos with a curious twinkle in our eyes.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The journey through the intersection of interstellar distances and earthly energy consumption has been nothing short of a cosmic carnival. Our voyage, guided by the stellar data analysis, has veered into the playful embrace of celestial capers and enchanting statistical twists.

Our findings, akin to a celestial symphony of quirkiness, have not only reaffirmed the correlation between the distance from Neptune to Mercury and petroleum consumption in Azerbaijan, but have also underscored the interdisciplinary mirth that pervades the cosmic conundrum we sought to untangle.

In the scholarly tapestry of the literature review, we revisited the whimsical embrace of "The Hitchhiker's Guide to the Galaxy" by Douglas Adams. Little did we know that the interconnectedness of the universe humorously depicted in the narrative might find parallels in our own academic pursuits. Our results resonate with the delightful absurdity that pervades the cosmic escapades documented in Adams’ work, amplifying the cosmic chuckles emanating from the corridors of our scholarly enterprise.

Moreover, the statistical exuberance in our results, encapsulated by the pronounced correlation coefficient and the captivating p-value, attests to the mirthful dance of reason and cosmic happenstance that defines the intricate weave of our findings. The juxtaposition of rigorous statistical significance and celestial whimsy serves as a gentle reminder to embrace the cosmic capers that the universe graciously unfolds before us.

It is within this academic revelry that we acutely acknowledge the gravity of statistical inquiry, while also indulging in the merriment of cosmic peculiarities. Our findings, teasingly echoing the radiant merriment of a supernova explosion, beckon us to bask in the enchanting whimsy that infuses the empirical realms of research and discovery.

In conclusion, our journey through the cosmic corridors has not only revealed a statistical embrace between celestial distances and petroleum consumption but has also unfurled the cosmic veil that shrouds the playful interplay of interstellar dynamics and earthly endeavors. As we traverse the scholarly cosmos with a twinkle in our eyes, let us revel in the cosmic carnival that propels us to chart new academic constellations, replete with statistical stardust and celestial musings.

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 distance between Neptune and Mercury and Petroluem consumption in Azerbaijan. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Neptonian Nonsense: The Quirky Correlation Between Solar Distance and Petroleum Consumption in Azerbaijan

[[ABSTRACT]]
As we traverse the eccentric, orbital eccentricities of our solar system, we stumbled upon an improbable connection that is truly out of this world - the surprising link between the distance separating Neptune and Mercury, and the petroleum consumption in the land of fire, Azerbaijan. Our research team, employing the celestial insights from Astropy and the energy consumption data from the Energy Information Administration, embarked on an odyssey to unravel this enigmatic association. To our astonishment, a correlation coefficient of 0.7977838 and a statistically significant p-value of less than 0.01 emerged from our analysis spanning the years from 1992 to 2021. Our findings add a cosmic twist to the intricate dance between celestial bodies and earthly fuel consumption, posing the question: is the gravitational pull of Neptune reaching across the cosmos to influence the petrol pumps of Baku? Join us on this whimsical journey through the cosmos and hydrocarbons, where the stars align in the most unexpected ways.

[[INTRDUCTION]]
INTRODUCTION
As we gaze into the cosmos, studying the movements of celestial bodies, we are often left in awe of the mysteries that unfold before our eyes. Our exploration of the universe has led us to uncover many remarkable phenomena, from the enigmatic behavior of black holes to the peculiar planetary dances that unfold in our own solar system. However, none have been quite as whimsical and perplexing as the newfound correlation between the distance from Neptune to Mercury and the petroleum consumption in Azerbaijan.
Our journey into this cosmic conundrum began with a simple question: could there be a connection between the celestial whims of our distant planetary neighbors and the earthly consumption of petroleum in the land of fire? Armed with data from the Energy Information Administration and the computational power of Astropy, we set out to unravel this celestial mystery.
Our quest led us on a cosmic rollercoaster ride, with twists and turns that defied all conventional logic. Yet, through rigorous statistical analysis, we uncovered a correlation coefficient that boldly proclaimed the unexpected connection - a coefficient of 0.7977838, leaving us both astounded and slightly amused. With a p-value of less than 0.01, our findings defied the odds, much like a comet defies the pull of gravity as it streaks through the night sky.
Our research adds a dash of whimsy to the often serious world of scientific inquiry. It raises questions that tickle the imagination and spark curiosity. Is there a cosmic ballet being choreographed by the planets, directing the flow of petroleum in the ancient land of Azerbaijan? Or are we simply witnessing a delightful cosmic coincidence, where the orbits of distant planets align with the energy consumption patterns of a nation?
Join us on this playful odyssey through the universe and the world of hydrocarbons, where data points and constellations converge in ways that are sure to pique the interest of the intergalactic statisticians and astro-economists alike. Let us embark on this journey with open minds and a twinkle in our eyes, for as we delve into the quirky correlation between Solar Distance and Petroleum Consumption in Azerbaijan, we may just find that the universe has more surprises in store for us than we ever dared to imagine.

[[RESULTS]]
Our investigation into the improbable nexus between the cosmic sprawl from Neptune to Mercury and the gushing torrents of petroleum consumption in Azerbaijan has yielded a celestial surprise of astronomical proportions. The statistical analysis of the data amassed from the energy consumption records and the astronomical computations revealed a striking correlation coefficient of 0.7977838. This coefficient, much like a comet hurtling through the cosmos, dazzled us with its unexpected appearance and left us in awe of the cosmic capers that unfold in the celestial ballet.
Accompanying this celestial correlation, we uncovered an r-squared value of 0.6364590, further solidifying the cosmic handshake between distant planets and earthly energy consumption. This r-squared value indicates that approximately 63.65% of the variance in petroleum consumption in Azerbaijan can be explained by the ethereal tango of celestial bodies, leaving just enough room for the whimsical fluctuations of human behavior and economic forces to play their part in this cosmic cocktail.
Furthermore, the p-value of less than 0.01 added a touch of statistical stardust to our findings, signifying a level of significance that defied earthly expectations. This p-value, akin to a captivating meteor shower, illuminated the significance of the relationship between the celestial distances and the earthly consumption of petroleum, beckoning us to ponder the cosmic forces that may be at play in the hydrocarbon hotbed of Azerbaijan.
Fig. 1 portrays the celestial comic dance between the distance from Neptune to Mercury and the petroleum consumption in Azerbaijan, showcasing the compelling correlation that emerged from our data analysis. Like a grand celestial waltz, the data points twirl and whirl in a harmonious union, illustrating the cosmic choreography that may sway the energy patterns of a nation.
In conclusion, our findings present a cosmic conundrum that challenges the conventional boundaries of scientific inquiry. The whimsical weaving of celestial distances and earthly energy consumption beckons us to reconsider the interplay between the extraterrestrial and the terrestrial realms. As we endeavor to unravel the mysteries of the universe, let us not forget that even the most peculiar correlations may harbor secrets that defy our expectations and propel us to explore the cosmos with a curious twinkle in our eyes.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

CONCLUSION

Armed with statistical stardust and celestial whimsy, our research has unveiled a correlation of astronomical proportions between the distance from Neptune to Mercury and the consumption of petroleum in the land of fire, Azerbaijan. Our findings defy gravity, much like a mischievous comet, with a correlation coefficient that boldly proclaims, "I'm out of this world!" The r-squared value of 0.6364590 gives just enough cosmic wiggle room for human behavior and economic flux, while the p-value of less than 0.01 has added a touch of statistical stardust to our celestial capers.

Fig. 1 showcases the celestial dance between planetary distances and petroleum consumption, leaving us to wonder if the gravitational pull of Neptune is secretly nudging the petrol pumps of Baku. Perhaps the universe is sending a message in a bottle, or should we say, an oil drum?

Our study adds a dash of whimsy to the often serious world of scientific inquiry, as we ponder whether there is a cosmic ballet choreographed by the planets, directing the flow of petroleum in Azerbaijan. But let's not forget that even the most peculiar correlations may harbor secrets that defy our expectations and propel us to explore the cosmos with a curious twinkle in our eyes.

In the wise words of the cosmic comedian, Carl Sagan, "Somewhere, something incredible is waiting to be known." And so, our cosmic odyssey through the universe and the world of hydrocarbons has come to an end. In this case, the stars have aligned in the most unexpected ways, and so we assert that no more research is needed in this area. After all, we wouldn't want to push our luck too far into the outer reaches of the galaxy!

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 Neptonian Nonsense: The Quirky Correlation Between Solar Distance and Petroleum Consumption in Azerbaijan. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Eccentric Energy Economics

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 Neptonian Nonsense: The Quirky Correlation Between Solar Distance and Petroleum Consumption in Azerbaijan. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Zany and Zonal Zymurgy Research

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 Neptonian Nonsense: The Quirky Correlation Between Solar Distance and Petroleum Consumption in Azerbaijan with an abstract of As we traverse the eccentric, orbital eccentricities of our solar system, we stumbled upon an improbable connection that is truly out of this world - the surprising link between the distance separating Neptune and Mercury, and the petroleum consumption in the land of fire, Azerbaijan. Our research team, employing the celestial insights from Astropy and the energy consumption data from the Energy Information Administration, embarked on an odyssey to unravel this enigmatic association. To our astonishment, a correlation coefficient of 0.7977838 and a statistically significant p-value of less than 0.01 emerged from our analysis spanning the years from 1992 to 2021. Our findings add a cosmic twist to the intricate dance between celestial bodies and earthly fuel consumption, posing the question: is the gravitational pull of Neptune reaching across the cosmos to influence the petrol pumps of Baku? Join us on this whimsical journey through the cosmos and hydrocarbons, where the stars align in the most unexpected ways.

ChatGPT:

Neptonian Nonsense, Solar Distance, Petroleum Consumption, Azerbaijan, correlation, Neptune, Mercury, energy consumption, Astropy, Energy Information Administration, correlation coefficient, statistical significance, celestial bodies, fuel consumption, gravitational pull, Baku, celestial insights, hydrocarbons, cosmos, stars alignment

*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 distance between Neptune and Mercury
Detailed data title: The average distance between Neptune and Mercury as measured on the first day of each month
Source: Caclculated using Astropy
Additional Info: ^{See full details} I wrote a Python script using Astropy to calculate the distance between the named planets on the first day of each month for every year.

See what else correlates with The distance between Neptune and Mercury

Petroluem consumption in Azerbaijan
Detailed data title: Volume of petroluem consumption consumed in Azerbaijan in millions of barrels per day
Source: Energy Information Administration
See what else correlates with Petroluem consumption in Azerbaijan

Correlation r = 0.7977838 (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 = 0.6364590 (Coefficient of determination)
This means 63.6% of the change in the one variable (i.e., Petroluem consumption in Azerbaijan) is predictable based on the change in the other (i.e., The distance between Neptune and Mercury) over the 30 years from 1992 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.3E-7.^Show 0.0000001295434863581556300000
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 0.8 in 1.3E-5% of random cases. Said differently, if you correlated 7,719,416 random variables^Note You don't actually need 7 million 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 29 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 29 because we have two variables measured over a period of 30 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.

[ 0.61, 0.9 ] 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.

	1992	1993	1994	1995	1996	1997	1998	1999	2000	2001	2002	2003	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021
The distance between Neptune and Mercury (Planetary distance (AU))	30.1072	30.0836	30.0759	30.0625	30.0563	30.0694	30.0674	30.0592	30.0315	30.0236	30.0005	30.0036	30.0141	30.0179	30.0073	29.9926	29.9826	29.9655	29.9764	29.9793	29.9857	29.9631	29.9538	29.9365	29.9238	29.9383	29.9468	29.9531	29.9382	29.9368
Petroluem consumption in Azerbaijan (Million Barrels/Day)	203	194	186	177.6	132.7	129.2	147.3	150	127.403	85.1693	82.748	93.6442	106.772	109.774	101.678	90.8006	92.2711	78.7834	82.6272	92.3611	96.9132	100.159	99.6293	98.1254	96.3042	102.444	100.261	107.516	98.0397	98.9297

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.
Y-axis doesn't start at zero: I truncated the Y-axes of the graph above. I also used a line graph, which makes the visual connection stand out more than it deserves. ^Note Nothing against line graphs. They are great at telling a story when you have linear data! But visually it is deceptive because the only data is at the points on the graph, not the lines on the graph. In between each point, the data could have been doing anything. Like going for a random walk by itself!
Mathematically what I showed is true, but it is intentionally misleading. Below is the same chart but with both Y-axes starting at zero.

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([30.1072,30.0836,30.0759,30.0625,30.0563,30.0694,30.0674,30.0592,30.0315,30.0236,30.0005,30.0036,30.0141,30.0179,30.0073,29.9926,29.9826,29.9655,29.9764,29.9793,29.9857,29.9631,29.9538,29.9365,29.9238,29.9383,29.9468,29.9531,29.9382,29.9368,])
array_2 = np.array([203,194,186,177.6,132.7,129.2,147.3,150,127.403,85.1693,82.748,93.6442,106.772,109.774,101.678,90.8006,92.2711,78.7834,82.6272,92.3611,96.9132,100.159,99.6293,98.1254,96.3042,102.444,100.261,107.516,98.0397,98.9297,])
array_1_name = "The distance between Neptune and Mercury"
array_2_name = "Petroluem consumption in Azerbaijan"

# 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
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Line chart for only The distance between Neptune and Mercury
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The spurious research paper: Neptonian Nonsense: The Quirky Correlation Between Solar Distance and Petroleum Consumption in Azerbaijan

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Correlation ID: 1058 · Black Variable ID: 1954 · Red Variable ID: 24166


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