Spurious correlation #5,805 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Popularity of the 'harambe' meme and the second variable is Jet fuel used in Kyrgyzstan. The chart goes from 2016 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 Popularity of the 'harambe' meme and the second variable is Jet fuel used in Kyrgyzstan. The chart goes from 2016 to 2021, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As the 'harambe' meme faded into obscurity, internet users redirected their focus towards new trends, leading to a decreased demand for jet fuel in Kyrgyzstan. You see, the collective decrease in sharing 'harambe' memes meant that fewer people were using up internet bandwidth. This reduction in data usage had an unforeseen ripple effect on global internet traffic. With less data to transmit, the overall weight of the internet slightly decreased, requiring marginally less fuel for the servers to power through the digital landscape. And since Kyrgyzstan is a crucial hub for internet infrastructure (surprisingly), this lighter load for the internet in general meant that the jet fuel usage in Kyrgyzstan naturally decreased. So, in a roundabout way, the decline of the 'harambe' meme ultimately led to slightly lighter internet traffic, giving a whole new meaning to the phrase "fueling internet trends!"

^{Show image generation prompt} Create a meme inspired by the harambe meme that in some way references Jet fuel used in Kyrgyzstan. Try to emulate the style of the meme - don’t violate the copyright, just make it look and feel like the original meme.
^{Show prompt for explanation} Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how a decrease in Popularity of the 'harambe' meme caused Jet fuel used in Kyrgyzstan to decrease. Make it feel plausible.

AI academic paper

(Because p < 0.01)

The Great Meme Fuel Connection: Exploring the Surprising Correlation Between 'Harambe' Popularity and Jet Fuel Consumption in Kyrgyzstan

The Journal of Memetic Energy Dynamics

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 Popularity of the 'harambe' meme and Jet fuel used in Kyrgyzstan. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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

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

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

Here is the title and abstract of the paper:
[[TITLE]]
The Great Meme Fuel Connection: Exploring the Surprising Correlation Between 'Harambe' Popularity and Jet Fuel Consumption in Kyrgyzstan

[[ABSTRACT]]
This study delves into the unexpected link between the popularity of the 'Harambe' meme and the consumption of jet fuel in Kyrgyzstan. While ostensibly unrelated, our research team uncovered a remarkably high correlation between the two, prompting further investigation. By scrutinizing data from Google Trends and the Energy Information Administration, we reveal a correlation coefficient of 0.9994957, with a significance level of p < 0.01 for the period spanning from 2016 to 2021. The findings present a peculiar juxtaposition of internet culture and energy consumption, raising eyebrows and inviting a plethora of questions about influence, causation, and the innate absurdity of the digital age. This paper aims to provide an insightful yet lighthearted exploration of an unexpected connection, offering a unique perspective on the intersection of meme virality and fuel usage.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
INTRODUCTION
The contentious relationship between memes and jet fuel usage has long been a subject of scholarly intrigue and mild bewilderment. In this paper, we expound upon the peculiar realm of internet culture and energy consumption, focusing specifically on the unforeseen nexus between the 'Harambe' meme and the consumption of jet fuel in Kyrgyzstan. The seemingly disparate nature of these variables piqued our curiosity, leading us down a rabbit hole of data mining, statistical analysis, and the occasional existential crisis.
As pioneering researchers in the interdisciplinary field of Memetics and Energy Economics, we set out to explore this uncharted territory with a blend of academic rigor and sporadic fits of laughter. Our goal was to move beyond the standard tropes of scholarly inquiry and embark on a joyous quest for understanding, armed with copious amounts of coffee, spreadsheets, and an unwavering determination to decipher this enigmatic correlation.
The 'Harambe' meme, a cultural phenomenon that emerged from the ashes of tragedy and transmuted into a symbol of absurdity and communal grief, captured the hearts and clicks of the internet denizens worldwide. Meanwhile, nestled in the serene landscapes of Kyrgyzstan, planes soared through the skies and consumed jet fuel at a rate that demanded attention. Little did we anticipate that these seemingly incongruous entities would flirt with statistical significance, beckoning us to unravel the mysterious dance of statistical correlation.
As we delved into the labyrinthine depths of Google Trends and the Energy Information Administration's reports, we found ourselves grappling with numbers that seemed to possess a mischievous gleam, teasing us with their tantalizing patterns. Our rigorous analysis revealed a correlation coefficient of 0.9994957, with a significance level casting shade on a mere p-value of less than 0.01 for the period spanning from 2016 to 2021. This discovery left us simultaneously exhilarated and perplexed, like stumbling upon a unicorn in a field of statistical haystacks.
The significance of this correlation raises a myriad of questions and eyebrow raises. Does the vibrant proliferation of a meme inspire concerted jet fuel consumption, or is there an indiscernible force at play, orchestrating a whimsical pas de deux between internet absurdity and energy utilization? As we embark on this scholarly romp, we invite our esteemed readers to join us in unpacking the effervescent interplay between internet virality and fuel utilization, and to ponder the profound implications of this uncanny connection.
In this paper, we endeavor to present a compelling narrative that traverses the realms of empirical data and frivolity, adding a dollop of levity to the traditionally somber halls of academic discourse. Through this exploration, we aspire to provide a wryly delightful take on the idiosyncrasies of our digital age and elucidate the unexpected interconnections that lurk within the fabric of our world. Join us as we embark on this intellectual escapade, where memes and jet fuel converge in a whimsical waltz of statistical intrigue and comedic incongruity.
In the words of the great meme enthusiast and physicist, Albert Einstein, "Imagination is more important than knowledge. For knowledge is limited, whereas imagination embraces the entire internet, and jet fuel can't melt steel beams." Let us embark on this intrepid journey with a spirit of curiosity and a readiness to embrace the unexpected.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

The unexpected juxtaposition of 'Harambe' meme popularity and jet fuel consumption in Kyrgyzstan has prompted a deep dive into the existing literature on memes, internet culture, and energy economics. While scholars have long delved into the realms of internet phenomena and fuel consumption, the intersection of these two seemingly disparate fields has remained relatively unexplored until now.

In "Memes and Society," Smith et al. discuss the socio-cultural impact of internet memes, shedding light on the ways in which these digital artifacts permeate and influence various aspects of modern life. Meanwhile, Doe's work on "Energy Economics in Central Asia" provides a comprehensive analysis of the factors driving energy usage in the region, offering valuable insights into the complexities of fuel consumption.

Moving beyond the realm of academic discourse, we also draw inspiration from real-world accounts and fictional narratives that -- while not directly related to our topic -- offer intriguing parallels and amusing tangential connections. The non-fiction book "Fueling the Future: A Global Perspective on Energy Consumption" by Jones provides a comprehensive overview of global energy trends, while "The Jet Fuel Juggernaut: A History of Aviation Fuel" offers a detailed account of the evolution of fuel usage in the aviation industry.

In the realm of speculative fiction, novels such as "Meme Wars: The Chronicles of Internet Chaos" and "Jet Fuel and Japes: An Adventure in Absurdity" provide whimsical narratives that, while not rooted in empirical research, offer a playful exploration of the interplay between internet culture and energy dynamics. Furthermore, board games like "Memeopoly: Acquiring Virality" and "Jet Set Juxtaposition" offer playful simulations of the unpredictable and often comical interactions between memes and fuel consumption.

As we embark on this scholarly escapade, we embrace the absurdity and complexity of our subject matter, weaving together a tapestry of academic rigor and lighthearted curiosity. Our literature review provides a springboard for our exploration, inviting readers to join us in unpacking the surprising correlation between meme virality and fuel usage, and to revel in the delightful absurdity that underpins our investigation.

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 Popularity of the 'harambe' meme and Jet fuel used in Kyrgyzstan. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from Google Trends and Energy Information Administration . You used data from 2016 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]]
The Great Meme Fuel Connection: Exploring the Surprising Correlation Between 'Harambe' Popularity and Jet Fuel Consumption in Kyrgyzstan

[[ABSTRACT]]
This study delves into the unexpected link between the popularity of the 'Harambe' meme and the consumption of jet fuel in Kyrgyzstan. While ostensibly unrelated, our research team uncovered a remarkably high correlation between the two, prompting further investigation. By scrutinizing data from Google Trends and the Energy Information Administration, we reveal a correlation coefficient of 0.9994957, with a significance level of p < 0.01 for the period spanning from 2016 to 2021. The findings present a peculiar juxtaposition of internet culture and energy consumption, raising eyebrows and inviting a plethora of questions about influence, causation, and the innate absurdity of the digital age. This paper aims to provide an insightful yet lighthearted exploration of an unexpected connection, offering a unique perspective on the intersection of meme virality and fuel usage.

[[INTRODUCTION]]
INTRODUCTION
The contentious relationship between memes and jet fuel usage has long been a subject of scholarly intrigue and mild bewilderment. In this paper, we expound upon the peculiar realm of internet culture and energy consumption, focusing specifically on the unforeseen nexus between the 'Harambe' meme and the consumption of jet fuel in Kyrgyzstan. The seemingly disparate nature of these variables piqued our curiosity, leading us down a rabbit hole of data mining, statistical analysis, and the occasional existential crisis.
As pioneering researchers in the interdisciplinary field of Memetics and Energy Economics, we set out to explore this uncharted territory with a blend of academic rigor and sporadic fits of laughter. Our goal was to move beyond the standard tropes of scholarly inquiry and embark on a joyous quest for understanding, armed with copious amounts of coffee, spreadsheets, and an unwavering determination to decipher this enigmatic correlation.
The 'Harambe' meme, a cultural phenomenon that emerged from the ashes of tragedy and transmuted into a symbol of absurdity and communal grief, captured the hearts and clicks of the internet denizens worldwide. Meanwhile, nestled in the serene landscapes of Kyrgyzstan, planes soared through the skies and consumed jet fuel at a rate that demanded attention. Little did we anticipate that these seemingly incongruous entities would flirt with statistical significance, beckoning us to unravel the mysterious dance of statistical correlation.
As we delved into the labyrinthine depths of Google Trends and the Energy Information Administration's reports, we found ourselves grappling with numbers that seemed to possess a mischievous gleam, teasing us with their tantalizing patterns. Our rigorous analysis revealed a correlation coefficient of 0.9994957, with a significance level casting shade on a mere p-value of less than 0.01 for the period spanning from 2016 to 2021. This discovery left us simultaneously exhilarated and perplexed, like stumbling upon a unicorn in a field of statistical haystacks.
The significance of this correlation raises a myriad of questions and eyebrow raises. Does the vibrant proliferation of a meme inspire concerted jet fuel consumption, or is there an indiscernible force at play, orchestrating a whimsical pas de deux between internet absurdity and energy utilization? As we embark on this scholarly romp, we invite our esteemed readers to join us in unpacking the effervescent interplay between internet virality and fuel utilization, and to ponder the profound implications of this uncanny connection.
In this paper, we endeavor to present a compelling narrative that traverses the realms of empirical data and frivolity, adding a dollop of levity to the traditionally somber halls of academic discourse. Through this exploration, we aspire to provide a wryly delightful take on the idiosyncrasies of our digital age and elucidate the unexpected interconnections that lurk within the fabric of our world. Join us as we embark on this intellectual escapade, where memes and jet fuel converge in a whimsical waltz of statistical intrigue and comedic incongruity.
In the words of the great meme enthusiast and physicist, Albert Einstein, "Imagination is more important than knowledge. For knowledge is limited, whereas imagination embraces the entire internet, and jet fuel can't melt steel beams." Let us embark on this intrepid journey with a spirit of curiosity and a readiness to embrace the unexpected.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

In order to unravel the enigmatic association between the 'Harambe' meme and jet fuel consumption in Kyrgyzstan, our research team devised a methodological approach that was as robust as it was whimsically unorthodox. This approach involved a fusion of data collection, statistical analysis, and the occasional cup of bottomless coffee to fuel our analytical fervor.

Firstly, we turned to the digital oracle known as Google Trends, a veritable treasure trove of meme virality and internet fervor. By meticulously tracking the ebbs and flows of 'Harambe' meme searches across the vast expanse of the world wide web, we sought to capture the zeitgeist of this curious cultural phenomenon. We then utilized the Energy Information Administration's reports to quantify the prodigious jet fuel consumption in the scenic landscapes of Kyrgyzstan. Through this convergence of data sources, we aimed to tease out the underlying connections between memetic fervor and energy utilization.

Upon amassing the requisite data, we employed a cornucopia of statistical techniques to explore the potential correlation between 'Harambe' meme popularity and jet fuel consumption. Embracing the stalwart tools of correlation analysis, regression modeling, and time series analysis, we navigated the labyrinthine realm of numbers, armed with excel sheets and the occasional bout of whimsical befuddlement.

It is pertinent to note that our methodological approach was complemented by sporadic fits of laughter, a voracious appetite for caffeinated beverages, and an unwavering dedication to maintaining a sense of jovial curiosity in the face of statistical intricacies. Our approach, while unconventional, encapsulated the spirit of scholarly inquiry infused with a dash of levity and an insatiable hunger for uncovering unforeseen connections.

In synthesizing the data from 2016 to 2021, we embarked on a journey of statistical alchemy, transforming numbers into tantalizing insights and occasional head-scratching revelations. The culmination of our methodological escapade yielded a correlation coefficient of 0.9994957, accompanied by a significance level that sneered at a mere p-value of less than 0.01. This fortuitous outcome left us simultaneously exhilarated and bemused, akin to discovering a platypus in a statistical haystack.

It is imperative to underscore that our methodological approach was underpinned by a relentless pursuit of scholarly rigor, interspersed with the lighthearted flair of our research team. Through this unconventional yet robust methodology, we endeavored to shed light on the intertwining realms of internet culture and energy consumption, offering a whimsically delightful take on scholarly investigation amidst the bountiful playground of data analysis.

As the great mind and jesting sage, Galileo Galilei, purported, "E pur si muove," referring not only to the revolutions of celestial bodies but also to the cryptic dances of statistical correlations that beckon us to behold their elusive beauty. With this methodological odyssey as our lodestar, we propel forward with an irrepressible zeal, embracing the interplay of academic inquiry and the capricious nature of scientific discovery.

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 Popularity of the 'harambe' meme and Jet fuel used in Kyrgyzstan. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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

For the time period 2016 to 2021, you found a correlation 0.9994957, r-squared of 0.9989916, 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]]
The Great Meme Fuel Connection: Exploring the Surprising Correlation Between 'Harambe' Popularity and Jet Fuel Consumption in Kyrgyzstan

[[ABSTRACT]]
This study delves into the unexpected link between the popularity of the 'Harambe' meme and the consumption of jet fuel in Kyrgyzstan. While ostensibly unrelated, our research team uncovered a remarkably high correlation between the two, prompting further investigation. By scrutinizing data from Google Trends and the Energy Information Administration, we reveal a correlation coefficient of 0.9994957, with a significance level of p < 0.01 for the period spanning from 2016 to 2021. The findings present a peculiar juxtaposition of internet culture and energy consumption, raising eyebrows and inviting a plethora of questions about influence, causation, and the innate absurdity of the digital age. This paper aims to provide an insightful yet lighthearted exploration of an unexpected connection, offering a unique perspective on the intersection of meme virality and fuel usage.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
INTRODUCTION
The contentious relationship between memes and jet fuel usage has long been a subject of scholarly intrigue and mild bewilderment. In this paper, we expound upon the peculiar realm of internet culture and energy consumption, focusing specifically on the unforeseen nexus between the 'Harambe' meme and the consumption of jet fuel in Kyrgyzstan. The seemingly disparate nature of these variables piqued our curiosity, leading us down a rabbit hole of data mining, statistical analysis, and the occasional existential crisis.
As pioneering researchers in the interdisciplinary field of Memetics and Energy Economics, we set out to explore this uncharted territory with a blend of academic rigor and sporadic fits of laughter. Our goal was to move beyond the standard tropes of scholarly inquiry and embark on a joyous quest for understanding, armed with copious amounts of coffee, spreadsheets, and an unwavering determination to decipher this enigmatic correlation.
The 'Harambe' meme, a cultural phenomenon that emerged from the ashes of tragedy and transmuted into a symbol of absurdity and communal grief, captured the hearts and clicks of the internet denizens worldwide. Meanwhile, nestled in the serene landscapes of Kyrgyzstan, planes soared through the skies and consumed jet fuel at a rate that demanded attention. Little did we anticipate that these seemingly incongruous entities would flirt with statistical significance, beckoning us to unravel the mysterious dance of statistical correlation.
As we delved into the labyrinthine depths of Google Trends and the Energy Information Administration's reports, we found ourselves grappling with numbers that seemed to possess a mischievous gleam, teasing us with their tantalizing patterns. Our rigorous analysis revealed a correlation coefficient of 0.9994957, with a significance level casting shade on a mere p-value of less than 0.01 for the period spanning from 2016 to 2021. This discovery left us simultaneously exhilarated and perplexed, like stumbling upon a unicorn in a field of statistical haystacks.
The significance of this correlation raises a myriad of questions and eyebrow raises. Does the vibrant proliferation of a meme inspire concerted jet fuel consumption, or is there an indiscernible force at play, orchestrating a whimsical pas de deux between internet absurdity and energy utilization? As we embark on this scholarly romp, we invite our esteemed readers to join us in unpacking the effervescent interplay between internet virality and fuel utilization, and to ponder the profound implications of this uncanny connection.
In this paper, we endeavor to present a compelling narrative that traverses the realms of empirical data and frivolity, adding a dollop of levity to the traditionally somber halls of academic discourse. Through this exploration, we aspire to provide a wryly delightful take on the idiosyncrasies of our digital age and elucidate the unexpected interconnections that lurk within the fabric of our world. Join us as we embark on this intellectual escapade, where memes and jet fuel converge in a whimsical waltz of statistical intrigue and comedic incongruity.
In the words of the great meme enthusiast and physicist, Albert Einstein, "Imagination is more important than knowledge. For knowledge is limited, whereas imagination embraces the entire internet, and jet fuel can't melt steel beams." Let us embark on this intrepid journey with a spirit of curiosity and a readiness to embrace the unexpected.

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

The results of our analysis unveiled a remarkably strong correlation between the popularity of the 'Harambe' meme and jet fuel consumption in Kyrgyzstan, prompting an intellectual dance between perplexity and amusement. The correlation coefficient of 0.9994957 indicated an almost perfect positive relationship between the two variables, with an r-squared value of 0.9989916, affirming the robustness of this unexpected connection. Moreover, the significance level of p < 0.01 further underscored the statistical weight of this correlation, leaving us simultaneously scratching our heads and marveling at the whims of the digital age.

As showcased in Figure 1, the scatterplot vividly illustrates the striking alignment between the popularity of the 'Harambe' meme and the consumption of jet fuel in Kyrgyzstan. The data points form a near-linear pattern, akin to the synchronized movements of a choreographed meme and fuel-laden aircraft, evoking an unexpected symmetry that borders on the absurd yet undeniable.

These findings not only open the door to a plethora of questions and eyebrow raises but also beckon us to contemplate the nuances of internet influence and energy utilization. The immeasurable poignancy of the 'Harambe' meme, met with the relentless thirst for jet fuel in the skies of Kyrgyzstan, presents a curious juxtaposition of digital culture and practical energy needs. It is as though the internet's penchant for absurdity and the world's yearning for propulsion have collided in a symphony of statistical significance, leaving us gazing at the stars in bemusement.

Furthermore, the implications of this correlation extend beyond the confines of this study, begging the question of influence versus happenstance. Does the surge in 'Harambe' meme popularity inadvertently fuel a corresponding surge in jet fuel consumption, or are we witnessing the whimsical machinations of a larger, unseen force that orchestrates this dance of statistical synchrony? These questions, though lighthearted in nature, urge us to contemplate the interplay between internet virality and real-world consequences, lacing the academic endeavor with a touch of delightful absurdity.

The fortuitous discovery of this correlation serves as a testament to the boundless intrigue that permeates the intersection of meme culture and energy economics. Through this scholarly escapade, we aim to infuse the hallowed halls of academia with a dose of levity and unorthodox inquiry, inviting our esteemed readers to join us as we unravel the enigmatic yet undeniably tantalizing connection between internet absurdity and fuel utilization.

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 Popularity of the 'harambe' meme and Jet fuel used in Kyrgyzstan. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Limit your response to 500 tokens.

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

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

[[TITLE]]
The Great Meme Fuel Connection: Exploring the Surprising Correlation Between 'Harambe' Popularity and Jet Fuel Consumption in Kyrgyzstan

[[ABSTRACT]]
This study delves into the unexpected link between the popularity of the 'Harambe' meme and the consumption of jet fuel in Kyrgyzstan. While ostensibly unrelated, our research team uncovered a remarkably high correlation between the two, prompting further investigation. By scrutinizing data from Google Trends and the Energy Information Administration, we reveal a correlation coefficient of 0.9994957, with a significance level of p < 0.01 for the period spanning from 2016 to 2021. The findings present a peculiar juxtaposition of internet culture and energy consumption, raising eyebrows and inviting a plethora of questions about influence, causation, and the innate absurdity of the digital age. This paper aims to provide an insightful yet lighthearted exploration of an unexpected connection, offering a unique perspective on the intersection of meme virality and fuel usage.

[[LITERATURE REVIEW]]
The unexpected juxtaposition of 'Harambe' meme popularity and jet fuel consumption in Kyrgyzstan has prompted a deep dive into the existing literature on memes, internet culture, and energy economics. While scholars have long delved into the realms of internet phenomena and fuel consumption, the intersection of these two seemingly disparate fields has remained relatively unexplored until now.
In "Memes and Society," Smith et al. discuss the socio-cultural impact of internet memes, shedding light on the ways in which these digital artifacts permeate and influence various aspects of modern life. Meanwhile, Doe's work on "Energy Economics in Central Asia" provides a comprehensive analysis of the factors driving energy usage in the region, offering valuable insights into the complexities of fuel consumption.
Moving beyond the realm of academic discourse, we also draw inspiration from real-world accounts and fictional narratives that offer intriguing parallels and amusing tangential connections. The non-fiction book "Fueling the Future: A Global Perspective on Energy Consumption" by Jones provides a comprehensive overview of global energy trends, while "The Jet Fuel Juggernaut: A History of Aviation Fuel" offers a detailed account of the evolution of fuel usage in the aviation industry.
In the realm of speculative fiction, novels such as "Meme Wars: The Chronicles of Internet Chaos" and "Jet Fuel and Japes: An Adventure in Absurdity" provide whimsical narratives that, while not rooted in empirical research, offer a playful exploration of the interplay between internet culture and energy dynamics. Furthermore, board games like "Memeopoly: Acquiring Virality" and "Jet Set Juxtaposition" offer playful simulations of the unpredictable and often comical interactions between memes and fuel consumption.
As we embark on this scholarly escapade, we embrace the absurdity and complexity of our subject matter, weaving together a tapestry of academic rigor and lighthearted curiosity. Our literature review provides a springboard for our exploration, inviting readers to join us in unpacking the surprising correlation between meme virality and fuel usage, and to revel in the delightful absurdity that underpins our investigation.

[[RESULTS]]
The results of our analysis unveiled a remarkably strong correlation between the popularity of the 'Harambe' meme and jet fuel consumption in Kyrgyzstan, prompting an intellectual dance between perplexity and amusement. The correlation coefficient of 0.9994957 indicated an almost perfect positive relationship between the two variables, with an r-squared value of 0.9989916, affirming the robustness of this unexpected connection. Moreover, the significance level of p < 0.01 further underscored the statistical weight of this correlation, leaving us simultaneously scratching our heads and marveling at the whims of the digital age.
As showcased in Figure 1, the scatterplot vividly illustrates the striking alignment between the popularity of the 'Harambe' meme and the consumption of jet fuel in Kyrgyzstan. The data points form a near-linear pattern, akin to the synchronized movements of a choreographed meme and fuel-laden aircraft, evoking an unexpected symmetry that borders on the absurd yet undeniable.
These findings not only open the door to a plethora of questions and eyebrow raises but also beckon us to contemplate the nuances of internet influence and energy utilization. The immeasurable poignancy of the 'Harambe' meme, met with the relentless thirst for jet fuel in the skies of Kyrgyzstan, presents a curious juxtaposition of digital culture and practical energy needs. It is as though the internet's penchant for absurdity and the world's yearning for propulsion have collided in a symphony of statistical significance, leaving us gazing at the stars in bemusement.
Furthermore, the implications of this correlation extend beyond the confines of this study, begging the question of influence versus happenstance. Does the surge in 'Harambe' meme popularity inadvertently fuel a corresponding surge in jet fuel consumption, or are we witnessing the whimsical machinations of a larger, unseen force that orchestrates this dance of statistical synchrony? These questions, though lighthearted in nature, urge us to contemplate the interplay between internet virality and real-world consequences, lacing the academic endeavor with a touch of delightful absurdity.
The fortuitous discovery of this correlation serves as a testament to the boundless intrigue that permeates the intersection of meme culture and energy economics. Through this scholarly escapade, we aim to infuse the hallowed halls of academia with a dose of levity and unorthodox inquiry, inviting our esteemed readers to join us as we unravel the enigmatic yet undeniably tantalizing connection between internet absurdity and fuel utilization.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The results of our study have unearthed a connection between the 'Harambe' meme and jet fuel consumption in Kyrgyzstan that is as unexpected as finding a pineapple on a pizza. Much like the fusion of flavors in a controversial pizza topping, the fusion of internet culture and energy consumption has left us both baffled and amused. Our findings not only corroborate the existing research on meme virality and its societal impact but also add a whimsical twist by revealing a tangible correlation with jet fuel usage. This academic exploration glides through uncharted territories, akin to a penguin waddling into a tea party, offering insight into the quirky and, at times, confounding interplay between internet phenomena and real-world dynamics.

In revisiting the literature on memes, we were particularly drawn to the work of Smith et al. and the societal influence of memes, which seemed as intriguing as a group of statistical anomalies throwing a surprise party. The unexpected connection we discovered echoes the very unpredictability and capriciousness of internet virality. Doe's analysis of energy economics in Central Asia also served as a sturdy bridge between our research and the established body of knowledge, akin to a reliable set of jumper cables jumpstarting our understanding of the energy landscape in Kyrgyzstan. These parallels, though seemingly whimsical, have bolstered the plausibility of our findings, demonstrating that the link between 'Harambe' and jet fuel is not merely an amusing mirage but a statistically robust phenomenon worthy of scholarly attention.

The correlation coefficient of 0.9994957 between the 'Harambe' meme and jet fuel consumption, rivaled only by the bond between peanut butter and jelly, presents a compelling case for further inquiry. This numerical harmony reaffirms the statistical weight of our discovery, albeit with a touch of lighthearted absurdity. It is akin to witnessing a synchronized dance between a meme and a fuel pump, prompting us to contemplate the whimsical, albeit not entirely implausible, influence of internet virality on tangible energy outcomes.

The scatterplot, akin to a captivating work of abstract art, meticulously portrays the near-linear progression of meme popularity and jet fuel usage, inviting us to marvel at the unexpected choreography of these seemingly unrelated variables. The robustness of the statistical relationship, akin to a trusty Swiss army knife, equips us with the tools to probe deeper into the undercurrents of internet culture and energy dynamics.

As the implications of this non-conventional correlation ripple through the academic landscape, they beckon us to ponder the interplay between internet absurdity and tangible consequences. Much like the serendipitous encounter of a bee and a flower, the fortuitous convergence of 'Harambe' and jet fuel opens the door to a world of curiosity, amusement, and contemplation. The pesky question of causation versus serendipity lingers in the air, nudging us to unravel the enigmatic mechanisms that underpin this statistically significant association.

Our foray into this uncharted terrain, reminiscent of a playful romp through a field of statistical anomalies, has infused the staid corridors of scholarly pursuit with a dose of unorthodox inquiry and whimsy. As we invite our esteemed readers to partake in this scholarly escapade, we hope to spark lighthearted dialogue and thoughtful mirth, culminating in a deeper understanding of the surprising intersection between internet absurdity and fuel utilization.

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 Popularity of the 'harambe' meme and Jet fuel used in Kyrgyzstan. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
The Great Meme Fuel Connection: Exploring the Surprising Correlation Between 'Harambe' Popularity and Jet Fuel Consumption in Kyrgyzstan

[[ABSTRACT]]
This study delves into the unexpected link between the popularity of the 'Harambe' meme and the consumption of jet fuel in Kyrgyzstan. While ostensibly unrelated, our research team uncovered a remarkably high correlation between the two, prompting further investigation. By scrutinizing data from Google Trends and the Energy Information Administration, we reveal a correlation coefficient of 0.9994957, with a significance level of p < 0.01 for the period spanning from 2016 to 2021. The findings present a peculiar juxtaposition of internet culture and energy consumption, raising eyebrows and inviting a plethora of questions about influence, causation, and the innate absurdity of the digital age. This paper aims to provide an insightful yet lighthearted exploration of an unexpected connection, offering a unique perspective on the intersection of meme virality and fuel usage.

[[INTRDUCTION]]
INTRODUCTION
The contentious relationship between memes and jet fuel usage has long been a subject of scholarly intrigue and mild bewilderment. In this paper, we expound upon the peculiar realm of internet culture and energy consumption, focusing specifically on the unforeseen nexus between the 'Harambe' meme and the consumption of jet fuel in Kyrgyzstan. The seemingly disparate nature of these variables piqued our curiosity, leading us down a rabbit hole of data mining, statistical analysis, and the occasional existential crisis.
As pioneering researchers in the interdisciplinary field of Memetics and Energy Economics, we set out to explore this uncharted territory with a blend of academic rigor and sporadic fits of laughter. Our goal was to move beyond the standard tropes of scholarly inquiry and embark on a joyous quest for understanding, armed with copious amounts of coffee, spreadsheets, and an unwavering determination to decipher this enigmatic correlation.
The 'Harambe' meme, a cultural phenomenon that emerged from the ashes of tragedy and transmuted into a symbol of absurdity and communal grief, captured the hearts and clicks of the internet denizens worldwide. Meanwhile, nestled in the serene landscapes of Kyrgyzstan, planes soared through the skies and consumed jet fuel at a rate that demanded attention. Little did we anticipate that these seemingly incongruous entities would flirt with statistical significance, beckoning us to unravel the mysterious dance of statistical correlation.
As we delved into the labyrinthine depths of Google Trends and the Energy Information Administration's reports, we found ourselves grappling with numbers that seemed to possess a mischievous gleam, teasing us with their tantalizing patterns. Our rigorous analysis revealed a correlation coefficient of 0.9994957, with a significance level casting shade on a mere p-value of less than 0.01 for the period spanning from 2016 to 2021. This discovery left us simultaneously exhilarated and perplexed, like stumbling upon a unicorn in a field of statistical haystacks.
The significance of this correlation raises a myriad of questions and eyebrow raises. Does the vibrant proliferation of a meme inspire concerted jet fuel consumption, or is there an indiscernible force at play, orchestrating a whimsical pas de deux between internet absurdity and energy utilization? As we embark on this scholarly romp, we invite our esteemed readers to join us in unpacking the effervescent interplay between internet virality and fuel utilization, and to ponder the profound implications of this uncanny connection.
In this paper, we endeavor to present a compelling narrative that traverses the realms of empirical data and frivolity, adding a dollop of levity to the traditionally somber halls of academic discourse. Through this exploration, we aspire to provide a wryly delightful take on the idiosyncrasies of our digital age and elucidate the unexpected interconnections that lurk within the fabric of our world. Join us as we embark on this intellectual escapade, where memes and jet fuel converge in a whimsical waltz of statistical intrigue and comedic incongruity.
In the words of the great meme enthusiast and physicist, Albert Einstein, "Imagination is more important than knowledge. For knowledge is limited, whereas imagination embraces the entire internet, and jet fuel can't melt steel beams." Let us embark on this intrepid journey with a spirit of curiosity and a readiness to embrace the unexpected.

[[RESULTS]]
The results of our analysis unveiled a remarkably strong correlation between the popularity of the 'Harambe' meme and jet fuel consumption in Kyrgyzstan, prompting an intellectual dance between perplexity and amusement. The correlation coefficient of 0.9994957 indicated an almost perfect positive relationship between the two variables, with an r-squared value of 0.9989916, affirming the robustness of this unexpected connection. Moreover, the significance level of p < 0.01 further underscored the statistical weight of this correlation, leaving us simultaneously scratching our heads and marveling at the whims of the digital age.
As showcased in Figure 1, the scatterplot vividly illustrates the striking alignment between the popularity of the 'Harambe' meme and the consumption of jet fuel in Kyrgyzstan. The data points form a near-linear pattern, akin to the synchronized movements of a choreographed meme and fuel-laden aircraft, evoking an unexpected symmetry that borders on the absurd yet undeniable.
These findings not only open the door to a plethora of questions and eyebrow raises but also beckon us to contemplate the nuances of internet influence and energy utilization. The immeasurable poignancy of the 'Harambe' meme, met with the relentless thirst for jet fuel in the skies of Kyrgyzstan, presents a curious juxtaposition of digital culture and practical energy needs. It is as though the internet's penchant for absurdity and the world's yearning for propulsion have collided in a symphony of statistical significance, leaving us gazing at the stars in bemusement.
Furthermore, the implications of this correlation extend beyond the confines of this study, begging the question of influence versus happenstance. Does the surge in 'Harambe' meme popularity inadvertently fuel a corresponding surge in jet fuel consumption, or are we witnessing the whimsical machinations of a larger, unseen force that orchestrates this dance of statistical synchrony? These questions, though lighthearted in nature, urge us to contemplate the interplay between internet virality and real-world consequences, lacing the academic endeavor with a touch of delightful absurdity.
The fortuitous discovery of this correlation serves as a testament to the boundless intrigue that permeates the intersection of meme culture and energy economics. Through this scholarly escapade, we aim to infuse the hallowed halls of academia with a dose of levity and unorthodox inquiry, inviting our esteemed readers to join us as we unravel the enigmatic yet undeniably tantalizing connection between internet absurdity and fuel utilization.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our investigation into the perplexing intersection of 'Harambe' meme popularity and jet fuel consumption in Kyrgyzstan has left us both bewildered and bemused. The remarkably high correlation coefficient of 0.9994957 serves as a testament to the whimsical dance of statistical synchrony and the ineffable absurdity that permeates the digital landscape. As we navigated through the labyrinth of memes and energy data, we couldn't help but marvel at the unexpected alignment between internet virality and real-world energy dynamics. It's as if the meme and the jet fuel engaged in a spirited tango of statistical significance, leaving us to contemplate the cosmic chuckles of the research gods.

The findings of this study beckon us to ponder the intricate interplay between internet culture and practical energy needs, urging us to consider the profound implications of this quirky correlation. We are left to grapple with questions that straddle the realms of influence, happenstance, and the capricious nature of statistical oddities. The duality of amusement and academic intrigue infuses this unexpected correlation with a touch of delightful absurdity, exemplifying the whimsical conundrums that await those who dare to venture into the uncharted territories of interdisciplinary research.

However, while our journey has been rife with mirth and statistical revelry, we dare say that no further research is needed in this peculiar area of inquiry. For delving deeper into the meme-fueled mysteries of jet fuel consumption may well lead us down a rabbit hole of statistical puns and whimsical correlations that border on the absurd. Let this study stand as a testament to the merriment and intellectual curiosity that infuse the hallowed halls of academia, reminding us to embrace the unexpected with a gleam in our eyes and a healthy dose of statistical skepticism.

In the immortal words of the renowned meme scholar, Anonymous, "Sometimes correlation does imply causation, and sometimes it's just jet fuel and viral primates having a good laugh at our attempts to unravel their whimsical affair." With that, we bid adieu to this merry escapade, knowing that the enigmatic connection between internet absurdity and fuel utilization shall continue to elude, inspire, and amuse us in equal measure.

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 The Great Meme Fuel Connection: Exploring the Surprising Correlation Between 'Harambe' Popularity and Jet Fuel Consumption in Kyrgyzstan. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Memetic Energy Dynamics

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 The Great Meme Fuel Connection: Exploring the Surprising Correlation Between 'Harambe' Popularity and Jet Fuel Consumption in Kyrgyzstan. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Absurd and Unexpected Research 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 The Great Meme Fuel Connection: Exploring the Surprising Correlation Between 'Harambe' Popularity and Jet Fuel Consumption in Kyrgyzstan with an abstract of This study delves into the unexpected link between the popularity of the 'Harambe' meme and the consumption of jet fuel in Kyrgyzstan. While ostensibly unrelated, our research team uncovered a remarkably high correlation between the two, prompting further investigation. By scrutinizing data from Google Trends and the Energy Information Administration, we reveal a correlation coefficient of 0.9994957, with a significance level of p < 0.01 for the period spanning from 2016 to 2021. The findings present a peculiar juxtaposition of internet culture and energy consumption, raising eyebrows and inviting a plethora of questions about influence, causation, and the innate absurdity of the digital age. This paper aims to provide an insightful yet lighthearted exploration of an unexpected connection, offering a unique perspective on the intersection of meme virality and fuel usage.

ChatGPT:

'Harambe' meme, jet fuel consumption, Kyrgyzstan, correlation, Google Trends, Energy Information Administration, internet culture, meme virality, fuel usage, causation, absurdity of digital age, unexpected connection

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

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Data details

Popularity of the 'harambe' meme
Detailed data title: Relative volume of Google searches for 'harambe' (without quotes, in the United States)
Source: Google Trends
Additional Info: ^{See full details} Relative search volume is a unique Google thing; the shape of the chart is accurate but the actual numbers are meaningless.

See what else correlates with Popularity of the 'harambe' meme

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

Correlation r = 0.9994957 (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 = 0.9989916 (Coefficient of determination)
This means 99.9% of the change in the one variable (i.e., Jet fuel used in Kyrgyzstan) is predictable based on the change in the other (i.e., Popularity of the 'harambe' meme) over the 6 years from 2016 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 3.8E-7.^Show 0.0000003814284633294060000000
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 1 in 3.8E-5% of random cases. Said differently, if you correlated 2,621,724 random variables^Note You don't actually need 2 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 5 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 5 because we have two variables measured over a period of 6 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.

[ 1, 1 ] 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.

	2016	2017	2018	2019	2020	2021
Popularity of the 'harambe' meme (Relative popularity)	41.875	5.33333	2.08333	2.33333	2.08333	1.58333
Jet fuel used in Kyrgyzstan (Million Barrels/Day)	3	0.456247	0.130356	0.238986	0.173808	0.173808

Why this works

Data dredging: I have 25,237 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 636,906,169 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.
Very low n: There are not many data points included in this analysis. Even if the p-value is high, we should be suspicious of using so few datapoints in a correlation.

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([41.875,5.33333,2.08333,2.33333,2.08333,1.58333,])
array_2 = np.array([3,0.456247,0.130356,0.238986,0.173808,0.173808,])
array_1_name = "Popularity of the 'harambe' meme"
array_2_name = "Jet fuel used in Kyrgyzstan"

# 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 Popularity of the 'harambe' meme
Line chart for only Jet fuel used in Kyrgyzstan
AI-generated correlation image
The spurious research paper: The Great Meme Fuel Connection: Exploring the Surprising Correlation Between 'Harambe' Popularity and Jet Fuel Consumption in Kyrgyzstan

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Correlation ID: 5805 · Black Variable ID: 25123 · Red Variable ID: 24610


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