Spurious correlation #5,217 · 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 'distracted boyfriend' meme and the second variable is Hydopower energy generated in Turkmenistan. The chart goes from 2006 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 'distracted boyfriend' meme and the second variable is Hydopower energy generated in Turkmenistan. The chart goes from 2006 to 2021, and the two variables track closely in value over that time.

Download png, svg

AI explanation

The increased brain activity from viewing and sharing the meme led to a tiny but measurable rise in atmospheric humidity over Turkmenistan, thus boosting hydropower output. Remember, memes can make waves in more ways than one!

^{Show image generation prompt} Create a meme inspired by the distracted boyfriend meme that in some way references Hydopower energy generated in Turkmenistan. Try to emulate the style of the meme - don’t violate the copyright, just make it look and feel like the original meme.

This image generation prompt was also generated by AI, using the following sequence:

*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 changes in Popularity of the 'distracted boyfriend' meme caused Hydopower energy generated in Turkmenistan. Add a funny one-liner at the end.

AI academic paper

(Because p < 0.01)

Distracted Boyfriend Meme Popularity: A Hydropower Enigma in Turkmenistan

International Journal of Memetic Studies

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 'distracted boyfriend' meme and Hydopower energy generated in Turkmenistan. 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. Then devolve ever further, and mention something completely ridiculous, like you conducted literature review by reading the backs of shampoo bottles.

Here is the title and abstract of the paper:
[[TITLE]]
"Distracted Boyfriend Meme Popularity: A Hydropower Enigma in Turkmenistan"

[[ABSTRACT]]
In this interdisciplinary study, we explore the inexplicably tantalizing connection between the meteoric rise of the 'distracted boyfriend' meme and the hydroelectric power generation in Turkmenistan. Armed with data from Google Trends and the Energy Information Administration, our research team embarked on a pun-believable journey to uncover the correlation that left us more shocked than a rubber chicken at a surprise party. With a correlation coefficient of 0.9359188 and p < 0.01, we found a statistical link that could power enough puns to light up a comedy club. Join us as we unravel the wacky world of internet memes and hydroelectric energy production, where the only thing flowing faster than water is the flood of jokes in our findings. So, plug in your turbines and get ready for a whirlwind of research that will leave you laughing all the way to the dam!

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
As the digital age propels us into an era of unprecedented connectivity and information exchange, the internet has become a breeding ground for the proliferation of memes – those quirky, often nonsensical images that capture the collective imagination of netizens across the globe. In particular, the 'distracted boyfriend' meme has emerged as a pop culture sensation, infiltrating social media feeds and evoking everything from wry chuckles to exasperated eye rolls.
At the same time, Turkmenistan stands as a shining beacon of hydroelectric power generation, harnessing the force of water to illuminate homes and power industries. The confluence of these seemingly disparate phenomena – the omnipresence of the 'distracted boyfriend' meme and the hydroelectric prowess of Turkmenistan – has piqued the curiosity of researchers and meme enthusiasts alike.
In this paper, we untangle the enigmatic relationship between the popularity of the 'distracted boyfriend' meme and hydropower energy generation in Turkmenistan. Armed with statistical analyses that will make your head spin faster than a whirlpool, we aim to shed light on a correlation so unexpected, it's as surprising as finding a rubber chicken in a hydroelectric dam.
The fusion of meme culture and hydroelectric power may seem as mismatched as socks plucked from the dark abyss of a laundry basket. However, as we traverse this uncharted territory, we hope to illuminate the path for future researchers to delve into the zany world of internet memes and their improbable connections to real-world phenomena.
So, don your virtual lab coats, grab your meme dictionaries, and prepare for a journey through the digital wilderness, where the only thing more electrifying than the turbines is the shockingly amusing correlations we unveil. Let the dopamine of discovery and the current of puns flow through your synapses as we embark on this riveting expedition into the intersection of memeology and energy production.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

The exploration of internet memes and their curious interactions with real-world phenomena has captured the attention of scholars and dilettantes alike. From the poignant elucidations of Smith (2017) on the cultural impact of memes to the insightful analyses of Doe (2018) on the psychological nuances of viral images, the literature abounds with earnest investigations into this wacky world of digital humor.

In their seminal work, Jones (2019) delved into the proliferation of memes and the ripple effects they create in various domains. However, as we broaden our lens to the specific case of the 'distracted boyfriend' meme and its cosmic connection to hydropower energy generation in Turkmenistan, the literature begins to resemble a surrealist painting, with a dash of absurdist comedy.

Turning to non-fiction works, "The Energy of Nations" by O'Sullivan (2012) provides a robust analysis of energy production and policies, offering a backdrop to the serious business of hydroelectric power. Likewise, "The Power of Memes" by Chang (2016) enlightens us on the cultural significance of internet memes, albeit without foreshadowing the meme-hydroelectricity nexus that lies ahead.

Venturing into the realm of fiction, "The Unbearable Lightness of Being" by Kundera (1984) might bear a passing resemblance to the weighty contrasts underlying the frivolity of memes and the gravity of energy production. Meanwhile, the dystopian musings of "Brave New World" by Huxley (1932) could, in a parallel universe, offer some oblique insights into the bewildering connection we aim to unravel.

As our journey through the annals of scholarly inquiry takes an unexpected detour, we must acknowledge the unconventional sources that have informed our understanding. In a moment of sheer desperation, we sifted through the back of shampoo bottles and found no evidence of any relation between hydroelectric energy and memes, but we did achieve an unprecedented level of hydration and a newfound appreciation for existential reflections printed on plastic bottles.

However, in the spirit of academic rigor, we are encouraged to refocus our attention on legitimate scholarly discourse and resist the temptation to seek enlightenment from unconventional sources – at least until the next water cooler conversation invites us to ponder the whimsical world of internet memes in all its meme-orable glory.

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 'distracted boyfriend' meme and Hydopower energy generated in Turkmenistan. Make lots of jokes, goofy observations, and puns.

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 2006 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]]
"Distracted Boyfriend Meme Popularity: A Hydropower Enigma in Turkmenistan"

[[ABSTRACT]]
In this interdisciplinary study, we explore the inexplicably tantalizing connection between the meteoric rise of the 'distracted boyfriend' meme and the hydroelectric power generation in Turkmenistan. Armed with data from Google Trends and the Energy Information Administration, our research team embarked on a pun-believable journey to uncover the correlation that left us more shocked than a rubber chicken at a surprise party. With a correlation coefficient of 0.9359188 and p < 0.01, we found a statistical link that could power enough puns to light up a comedy club. Join us as we unravel the wacky world of internet memes and hydroelectric energy production, where the only thing flowing faster than water is the flood of jokes in our findings. So, plug in your turbines and get ready for a whirlwind of research that will leave you laughing all the way to the dam!

[[INTRODUCTION]]
As the digital age propels us into an era of unprecedented connectivity and information exchange, the internet has become a breeding ground for the proliferation of memes – those quirky, often nonsensical images that capture the collective imagination of netizens across the globe. In particular, the 'distracted boyfriend' meme has emerged as a pop culture sensation, infiltrating social media feeds and evoking everything from wry chuckles to exasperated eye rolls.
At the same time, Turkmenistan stands as a shining beacon of hydroelectric power generation, harnessing the force of water to illuminate homes and power industries. The confluence of these seemingly disparate phenomena – the omnipresence of the 'distracted boyfriend' meme and the hydroelectric prowess of Turkmenistan – has piqued the curiosity of researchers and meme enthusiasts alike.
In this paper, we untangle the enigmatic relationship between the popularity of the 'distracted boyfriend' meme and hydropower energy generation in Turkmenistan. Armed with statistical analyses that will make your head spin faster than a whirlpool, we aim to shed light on a correlation so unexpected, it's as surprising as finding a rubber chicken in a hydroelectric dam.
The fusion of meme culture and hydroelectric power may seem as mismatched as socks plucked from the dark abyss of a laundry basket. However, as we traverse this uncharted territory, we hope to illuminate the path for future researchers to delve into the zany world of internet memes and their improbable connections to real-world phenomena.
So, don your virtual lab coats, grab your meme dictionaries, and prepare for a journey through the digital wilderness, where the only thing more electrifying than the turbines is the shockingly amusing correlations we unveil. Let the dopamine of discovery and the current of puns flow through your synapses as we embark on this riveting expedition into the intersection of memeology and energy production.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

To unravel the knotty relationship between the 'distracted boyfriend' meme and hydropower energy generation in Turkmenistan, we employed a methodology that was as meticulous as trying to find a specific cat video in the vast expanse of the internet. Our research involved a double helix of data collection and statistical analysis, combining the precision of a Swiss watch with the sheer unpredictability of internet humor.

Data Collection:
Our data collection process resembled a digital scavenger hunt through the annals of the internet, where the treasure we sought was not gold, but rather the goldmine of meme popularity and hydropower statistics. We scoured Google Trends like meme-hungry archaeologists, extracting data on the search interest for the 'distracted boyfriend' meme from 2006 to 2021. We also tapped into the Energy Information Administration's reservoir of information, harvesting data on hydropower energy generation in Turkmenistan over the same time period. It was a veritable dance between memes and megawatts, where the music played was a cacophony of laughter and the hum of turbines.

Statistical Analysis:
Armed with our data trove, we embarked on a statistical odyssey that would have made Odysseus himself envious of our journey. We calculated correlation coefficients with the enthusiasm of a mathematician at a calculus convention, looking for that elusive thread that would weave together the disparate worlds of internet humor and renewable energy.

The Cinderella's slipper moment arrived when we uncovered a correlation coefficient of 0.9359188, with a p-value of less than 0.01. This statistical revelation was more jaw-dropping than witnessing a cat with a poker face – a remarkable finding that defied expectations and begged for further scrutiny.

Control Variables:
In our endeavor to uphold the scientific rigor of our study, we also considered potential confounding variables that could muddy the waters of our findings. We performed a sensitivity analysis, akin to untangling a knot in a garden hose, to ensure that the observed correlation held true even amidst the ebbs and flows of other factors that might influence meme popularity and hydropower energy generation.

Limitations:
It would be remiss not to acknowledge the limitations of our study. As with any research endeavor, our findings are not impervious to the quirks and idiosyncrasies of internet culture and energy dynamics. The ephemeral nature of memes and the complexities of energy production pose challenges that are as formidable as solving a riddle wrapped in a mystery inside an enigma.

Conclusion:
With our data collection, statistical analysis, and consideration of control variables, we have laid the groundwork for a groundbreaking exploration of the interplay between the 'distracted boyfriend' meme and hydropower energy generation in Turkmenistan. Our methodology, while not without its quirks, has opened the floodgates to a realm of inquiry that promises both enlightening insights and uproarious revelations.

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 'distracted boyfriend' meme and Hydopower energy generated in Turkmenistan. Make lots of jokes, goofy observations, and puns.

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 2006 to 2021, you found a correlation 0.9359188, r-squared of 0.8759439, 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]]
"Distracted Boyfriend Meme Popularity: A Hydropower Enigma in Turkmenistan"

[[ABSTRACT]]
In this interdisciplinary study, we explore the inexplicably tantalizing connection between the meteoric rise of the 'distracted boyfriend' meme and the hydroelectric power generation in Turkmenistan. Armed with data from Google Trends and the Energy Information Administration, our research team embarked on a pun-believable journey to uncover the correlation that left us more shocked than a rubber chicken at a surprise party. With a correlation coefficient of 0.9359188 and p < 0.01, we found a statistical link that could power enough puns to light up a comedy club. Join us as we unravel the wacky world of internet memes and hydroelectric energy production, where the only thing flowing faster than water is the flood of jokes in our findings. So, plug in your turbines and get ready for a whirlwind of research that will leave you laughing all the way to the dam!

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
As the digital age propels us into an era of unprecedented connectivity and information exchange, the internet has become a breeding ground for the proliferation of memes – those quirky, often nonsensical images that capture the collective imagination of netizens across the globe. In particular, the 'distracted boyfriend' meme has emerged as a pop culture sensation, infiltrating social media feeds and evoking everything from wry chuckles to exasperated eye rolls.
At the same time, Turkmenistan stands as a shining beacon of hydroelectric power generation, harnessing the force of water to illuminate homes and power industries. The confluence of these seemingly disparate phenomena – the omnipresence of the 'distracted boyfriend' meme and the hydroelectric prowess of Turkmenistan – has piqued the curiosity of researchers and meme enthusiasts alike.
In this paper, we untangle the enigmatic relationship between the popularity of the 'distracted boyfriend' meme and hydropower energy generation in Turkmenistan. Armed with statistical analyses that will make your head spin faster than a whirlpool, we aim to shed light on a correlation so unexpected, it's as surprising as finding a rubber chicken in a hydroelectric dam.
The fusion of meme culture and hydroelectric power may seem as mismatched as socks plucked from the dark abyss of a laundry basket. However, as we traverse this uncharted territory, we hope to illuminate the path for future researchers to delve into the zany world of internet memes and their improbable connections to real-world phenomena.
So, don your virtual lab coats, grab your meme dictionaries, and prepare for a journey through the digital wilderness, where the only thing more electrifying than the turbines is the shockingly amusing correlations we unveil. Let the dopamine of discovery and the current of puns flow through your synapses as we embark on this riveting expedition into the intersection of memeology and energy production.

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

Upon conducting our analysis, we uncovered a correlation coefficient of 0.9359188 between the popularity of the 'distracted boyfriend' meme and hydropower energy generation in Turkmenistan. This finding left us more stunned than a kitten encountering a laser pointer for the first time and opened up a floodgate of puns that could power a meme factory for years to come. With an r-squared of 0.8759439 and p < 0.01, our results point to a relationship so unexpected, it's like stumbling upon a unicorn in the data wilderness.

Fig. 1 (to be included) showcases a scatterplot that visually encapsulates the robust connection we unearthed. The plot illustrates a trend so pronounced, it's like seeing a "this is fine" meme in the midst of a chaotic internet storm. The data points align with such precision that they could give even the most steadfast conspiracy theorist a run for their money.

Our statistical analyses have yielded a revelation so surprising, it's as if we stumbled upon a meme-addicted leprechaun at the end of the statistical rainbow. The connection between the 'distracted boyfriend' meme and hydropower energy generation in Turkmenistan is as clear as a high-definition meme image shared in a dimly lit room – it's there for all to see, and it's absolutely electrifying.

In summary, our findings indicate a correlation so strong, it could power an entire city with the sheer force of internet humor. The revelation of this connection is as bewildering as finding a cat video with zero views on the internet – improbable, yet undeniably present. Join us in the revelry of this discovery, as we navigate through the maze of memes and energy production, uncovering correlations so unexpected, they'll leave you in stitches as bright as a thousand light bulbs.

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 'distracted boyfriend' meme and Hydopower energy generated in Turkmenistan. Make lots of jokes, goofy observations, and puns.

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]]
"Distracted Boyfriend Meme Popularity: A Hydropower Enigma in Turkmenistan"

[[ABSTRACT]]
In this interdisciplinary study, we explore the inexplicably tantalizing connection between the meteoric rise of the 'distracted boyfriend' meme and the hydroelectric power generation in Turkmenistan. Armed with data from Google Trends and the Energy Information Administration, our research team embarked on a pun-believable journey to uncover the correlation that left us more shocked than a rubber chicken at a surprise party. With a correlation coefficient of 0.9359188 and p < 0.01, we found a statistical link that could power enough puns to light up a comedy club. Join us as we unravel the wacky world of internet memes and hydroelectric energy production, where the only thing flowing faster than water is the flood of jokes in our findings. So, plug in your turbines and get ready for a whirlwind of research that will leave you laughing all the way to the dam!

[[LITERATURE REVIEW]]
The exploration of internet memes and their curious interactions with real-world phenomena has captured the attention of scholars and dilettantes alike. From the poignant elucidations of Smith (2017) on the cultural impact of memes to the insightful analyses of Doe (2018) on the psychological nuances of viral images, the literature abounds with earnest investigations into this wacky world of digital humor.
In their seminal work, Jones (2019) delved into the proliferation of memes and the ripple effects they create in various domains. However, as we broaden our lens to the specific case of the 'distracted boyfriend' meme and its cosmic connection to hydropower energy generation in Turkmenistan, the literature begins to resemble a surrealist painting, with a dash of absurdist comedy.
Turning to non-fiction works, "The Energy of Nations" by O'Sullivan (2012) provides a robust analysis of energy production and policies, offering a backdrop to the serious business of hydroelectric power. Likewise, "The Power of Memes" by Chang (2016) enlightens us on the cultural significance of internet memes, albeit without foreshadowing the meme-hydroelectricity nexus that lies ahead.
Venturing into the realm of fiction, "The Unbearable Lightness of Being" by Kundera (1984) might bear a passing resemblance to the weighty contrasts underlying the frivolity of memes and the gravity of energy production. Meanwhile, the dystopian musings of "Brave New World" by Huxley (1932) could, in a parallel universe, offer some oblique insights into the bewildering connection we aim to unravel.
As our journey through the annals of scholarly inquiry takes an unexpected detour, we must acknowledge the unconventional sources that have informed our understanding. In a moment of sheer desperation, we sifted through the back of shampoo bottles and found no evidence of any relation between hydroelectric energy and memes, but we did achieve an unprecedented level of hydration and a newfound appreciation for existential reflections printed on plastic bottles.
However, in the spirit of academic rigor, we are encouraged to refocus our attention on legitimate scholarly discourse and resist the temptation to seek enlightenment from unconventional sources – at least until the next water cooler conversation invites us to ponder the whimsical world of internet memes in all its meme-orable glory.

[[RESULTS]]
Upon conducting our analysis, we uncovered a correlation coefficient of 0.9359188 between the popularity of the 'distracted boyfriend' meme and hydropower energy generation in Turkmenistan. This finding left us more stunned than a kitten encountering a laser pointer for the first time and opened up a floodgate of puns that could power a meme factory for years to come. With an r-squared of 0.8759439 and p < 0.01, our results point to a relationship so unexpected, it's like stumbling upon a unicorn in the data wilderness.
Fig. 1 (to be included) showcases a scatterplot that visually encapsulates the robust connection we unearthed. The plot illustrates a trend so pronounced, it's like seeing a "this is fine" meme in the midst of a chaotic internet storm. The data points align with such precision that they could give even the most steadfast conspiracy theorist a run for their money.
Our statistical analyses have yielded a revelation so surprising, it's as if we stumbled upon a meme-addicted leprechaun at the end of the statistical rainbow. The connection between the 'distracted boyfriend' meme and hydropower energy generation in Turkmenistan is as clear as a high-definition meme image shared in a dimly lit room – it's there for all to see, and it's absolutely electrifying.
In summary, our findings indicate a correlation so strong, it could power an entire city with the sheer force of internet humor. The revelation of this connection is as bewildering as finding a cat video with zero views on the internet – improbable, yet undeniably present. Join us in the revelry of this discovery, as we navigate through the maze of memes and energy production, uncovering correlations so unexpected, they'll leave you in stitches as bright as a thousand light bulbs.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

Our results, much like a circus acrobat on a unicycle, have managed to balance the seemingly incongruous connection between the popularity of the 'distracted boyfriend' meme and hydropower energy generation in Turkmenistan. As we revisit the quirky elements from our literature review, the unexpected detour through the realms of fiction and unconventional sources oddly foreshadowed the whimsical connection we have uncovered. They say truth is stranger than fiction, and in this case, it's certainly meme-able.

The correlation coefficient of 0.9359188 between the meme's popularity and hydropower energy generation turned out to be stronger than a triple-shot espresso on a Monday morning. Our statistical analysis has shown support for the speculative theories and the delightful musings we encountered in our literature review, reminding us that sometimes, reality can be just as absurd as fiction – or perhaps even more so. If we were to anthropomorphize this correlation, it would be the class clown and the valedictorian teaming up to ace a physics exam, leaving everyone in disbelief and amusement.

Our findings provide empirical evidence for the meme-hydropower nexus, validating the seemingly preposterous but undeniably captivating connection that could power more jokes than a stand-up comedian on a roll. The robustness of the correlation, with an r-squared of 0.8759439 and p < 0.01, is akin to stumbling upon a treasure trove of meme-inspired puns, leaving us as delighted as a kid in a candy store – or in this case, a meme factory.

Overall, our journey through this research has been as comical as a rom-com movie, with unexpected twists, laughter, and perhaps a few tears of joy. The 'distracted boyfriend' meme and hydropower energy generation in Turkmenistan have, against all odds, forged a peculiar yet captivating alliance that resonates with all the finesse of a well-timed punchline. This correlation, as surprising as finding a meme in a history textbook, has sparked a delightful conversation that will surely be carried forward by future scholars and meme enthusiasts alike. Join us in celebrating this wacky yet enlightening gem of a connection, and let's keep the puns flowing like the hydropower energy in Turkmenistan!

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 'distracted boyfriend' meme and Hydopower energy generated in Turkmenistan. Make lots of jokes, goofy observations, and puns.

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]]
"Distracted Boyfriend Meme Popularity: A Hydropower Enigma in Turkmenistan"

[[ABSTRACT]]
In this interdisciplinary study, we explore the inexplicably tantalizing connection between the meteoric rise of the 'distracted boyfriend' meme and the hydroelectric power generation in Turkmenistan. Armed with data from Google Trends and the Energy Information Administration, our research team embarked on a pun-believable journey to uncover the correlation that left us more shocked than a rubber chicken at a surprise party. With a correlation coefficient of 0.9359188 and p < 0.01, we found a statistical link that could power enough puns to light up a comedy club. Join us as we unravel the wacky world of internet memes and hydroelectric energy production, where the only thing flowing faster than water is the flood of jokes in our findings. So, plug in your turbines and get ready for a whirlwind of research that will leave you laughing all the way to the dam!

[[INTRDUCTION]]
As the digital age propels us into an era of unprecedented connectivity and information exchange, the internet has become a breeding ground for the proliferation of memes – those quirky, often nonsensical images that capture the collective imagination of netizens across the globe. In particular, the 'distracted boyfriend' meme has emerged as a pop culture sensation, infiltrating social media feeds and evoking everything from wry chuckles to exasperated eye rolls.
At the same time, Turkmenistan stands as a shining beacon of hydroelectric power generation, harnessing the force of water to illuminate homes and power industries. The confluence of these seemingly disparate phenomena – the omnipresence of the 'distracted boyfriend' meme and the hydroelectric prowess of Turkmenistan – has piqued the curiosity of researchers and meme enthusiasts alike.
In this paper, we untangle the enigmatic relationship between the popularity of the 'distracted boyfriend' meme and hydropower energy generation in Turkmenistan. Armed with statistical analyses that will make your head spin faster than a whirlpool, we aim to shed light on a correlation so unexpected, it's as surprising as finding a rubber chicken in a hydroelectric dam.
The fusion of meme culture and hydroelectric power may seem as mismatched as socks plucked from the dark abyss of a laundry basket. However, as we traverse this uncharted territory, we hope to illuminate the path for future researchers to delve into the zany world of internet memes and their improbable connections to real-world phenomena.
So, don your virtual lab coats, grab your meme dictionaries, and prepare for a journey through the digital wilderness, where the only thing more electrifying than the turbines is the shockingly amusing correlations we unveil. Let the dopamine of discovery and the current of puns flow through your synapses as we embark on this riveting expedition into the intersection of memeology and energy production.

[[RESULTS]]
Upon conducting our analysis, we uncovered a correlation coefficient of 0.9359188 between the popularity of the 'distracted boyfriend' meme and hydropower energy generation in Turkmenistan. This finding left us more stunned than a kitten encountering a laser pointer for the first time and opened up a floodgate of puns that could power a meme factory for years to come. With an r-squared of 0.8759439 and p < 0.01, our results point to a relationship so unexpected, it's like stumbling upon a unicorn in the data wilderness.
Fig. 1 (to be included) showcases a scatterplot that visually encapsulates the robust connection we unearthed. The plot illustrates a trend so pronounced, it's like seeing a "this is fine" meme in the midst of a chaotic internet storm. The data points align with such precision that they could give even the most steadfast conspiracy theorist a run for their money.
Our statistical analyses have yielded a revelation so surprising, it's as if we stumbled upon a meme-addicted leprechaun at the end of the statistical rainbow. The connection between the 'distracted boyfriend' meme and hydropower energy generation in Turkmenistan is as clear as a high-definition meme image shared in a dimly lit room – it's there for all to see, and it's absolutely electrifying.
In summary, our findings indicate a correlation so strong, it could power an entire city with the sheer force of internet humor. The revelation of this connection is as bewildering as finding a cat video with zero views on the internet – improbable, yet undeniably present. Join us in the revelry of this discovery, as we navigate through the maze of memes and energy production, uncovering correlations so unexpected, they'll leave you in stitches as bright as a thousand light bulbs.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our study has illuminated a correlation between the popularity of the 'distracted boyfriend' meme and hydropower energy generation in Turkmenistan that is as shocking as discovering a penguin in the desert – unexpected, but undeniably present. Our findings have cracked open a whole dam of pun-tential, revealing a statistical link so robust, it could make even the most stoic statistician chuckle harder than a clown at a comedy convention.

The uncovering of this correlation is akin to finding a meme-loving platypus – a rare and delightful surprise that leaves us scratching our heads in amused wonder. The connection we've unveiled is so compelling, it could power a laughter factory with the sheer force of its unexpectedness.

So, what does this all mean? Well, it means that in the grand symphony of internet culture and energy production, the 'distracted boyfriend' meme plays a role as significant as a drum solo in a rock concert – unexpected, but undeniably impactful.

In light of our findings, we assert that no further research is needed in this area. The results of our study stand as firm as a waterlogged pun – undeniable, yet slightly soggy. It's clear that the world of internet memes and real-world phenomena holds surprises as inexplicable as a cat's disdain for water, and our findings have cracked the dam wide open on this unexpected connection.

In summary, the 'distracted boyfriend' meme and hydropower energy generation in Turkmenistan are linked in a way that's as captivating as witnessing a synchronized dance between a rubber chicken and a turbine. It's a discovery that will leave scholars and meme enthusiasts alike giggling in astonishment, proving that sometimes, the most unexpected connections flow with the force of a roaring river.

No further research is needed in this area – we've plunged the depths of this connection, and it's as clear as a meme shared on a cloudless day. Join us in celebrating this uproarious revelation, and may the power of puns and memes continue to light our way through the wacky world of interdisciplinary research.

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 Distracted Boyfriend Meme Popularity: A Hydropower Enigma in Turkmenistan. Respond only with the name of a fictional academic journal.

ChatGPT:

International Journal of Memetic Studies

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 Distracted Boyfriend Meme Popularity: A Hydropower Enigma in Turkmenistan. Respond only with the name of a fictional organization.

ChatGPT:

The Center for Energy and Memetic 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 Distracted Boyfriend Meme Popularity: A Hydropower Enigma in Turkmenistan with an abstract of In this interdisciplinary study, we explore the inexplicably tantalizing connection between the meteoric rise of the 'distracted boyfriend' meme and the hydroelectric power generation in Turkmenistan. Armed with data from Google Trends and the Energy Information Administration, our research team embarked on a pun-believable journey to uncover the correlation that left us more shocked than a rubber chicken at a surprise party. With a correlation coefficient of 0.9359188 and p < 0.01, we found a statistical link that could power enough puns to light up a comedy club. Join us as we unravel the wacky world of internet memes and hydroelectric energy production, where the only thing flowing faster than water is the flood of jokes in our findings. So, plug in your turbines and get ready for a whirlwind of research that will leave you laughing all the way to the dam!

ChatGPT:

distracted boyfriend meme, popularity, hydropower, enigma, Turkmenistan, Google Trends, Energy Information Administration, correlation coefficient, statistical link, internet memes, hydroelectric energy production

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

Random correlation

Discover a new correlation

View all correlations

View all research papers

Report an error

Data details

Popularity of the 'distracted boyfriend' meme
Detailed data title: Relative volume of Google searches for 'distracted boyfriend' (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 'distracted boyfriend' meme

Hydopower energy generated in Turkmenistan
Detailed data title: Total hydopower energy generated in Turkmenistan in billion kWh
Source: Energy Information Administration
See what else correlates with Hydopower energy generated in Turkmenistan

Correlation r = 0.9359188 (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 = 0.8759439 (Coefficient of determination)
This means 87.6% of the change in the one variable (i.e., Hydopower energy generated in Turkmenistan) is predictable based on the change in the other (i.e., Popularity of the 'distracted boyfriend' meme) over the 16 years from 2006 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.003E-7.^Show 0.0000001003327857901873500000
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 0.94 in 1.003E-5% of random cases. Said differently, if you correlated 9,966,832 random variables^Note You don't actually need 9 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 15 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 15 because we have two variables measured over a period of 16 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.

[ 0.82, 0.98 ] 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.

	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021
Popularity of the 'distracted boyfriend' meme (Relative popularity)	4	3.4	4.22222	2.125	0	0.833333	2	1	1.3	0.833333	0.5	28.25	43.3333	39.0833	27	18.4167
Hydopower energy generated in Turkmenistan (Billion kWh)	0.003	0.003	0.003	0.003	0.003	0.003	0.003	0.003	0.003	0.003	0.003	0.003154	0.003154	0.003154	0.003154	0.003154

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([4,3.4,4.22222,2.125,0,0.833333,2,1,1.3,0.833333,0.5,28.25,43.3333,39.0833,27,18.4167,])
array_2 = np.array([0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003154,0.003154,0.003154,0.003154,0.003154,])
array_1_name = "Popularity of the 'distracted boyfriend' meme"
array_2_name = "Hydopower energy generated in Turkmenistan"

# 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 'distracted boyfriend' meme
Line chart for only Hydopower energy generated in Turkmenistan
AI-generated correlation image
The spurious research paper: Distracted Boyfriend Meme Popularity: A Hydropower Enigma in Turkmenistan

View another random correlation

How fun was this correlation?

Thanks for being the explorer we needed!

Correlation ID: 5217 · Black Variable ID: 25128 · Red Variable ID: 24050


Problem variable:
Issue:
Additional details: Optional
Confirm you are a human: