Spurious correlation #4,863 · 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 'all your base' meme and the second variable is Kerosene used in Nepal. 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 'all your base' meme and the second variable is Kerosene used in Nepal. The chart goes from 2006 to 2021, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As the 'all your base' meme faded into obscurity, people simply didn't have the same urge to inappropriately quote it in everyday conversations. This led to a significant reduction in eye-rolling and facepalming incidents across the globe. With fewer instances of secondhand embarrassment being generated, there was a decreased need for kerosene-fueled 'Forget Me Now' devices designed to erase those cringy memories. In Nepal, this ultimately resulted in a decrease in the overall demand for kerosene, freeing up more resources for important undertakings, like perfecting the art of momo-making. The meme may have lost its spark, but at least it sparked a slightly less flammable situation in the land of the Himalayas!

^{Show image generation prompt} Create a meme inspired by the all your base meme that in some way references Kerosene used in Nepal. 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 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 'all your base' meme caused Kerosene used in Nepal to decrease. Make it feel plausible.

AI academic paper

(Because p < 0.01)

All Your Base Are Belong to Nepal: Exploring the Connection Between 'All Your Base' Meme Popularity and Kerosene Consumption

The Journal of Internet Memes and Unconventional Socioeconomic Analysis

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 'all your base' meme and Kerosene used in Nepal. 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 name a few real TV shows that sound like they might be relevant to the topic that you watched as research.

Here is the title and abstract of the paper:
[[TITLE]]
"All Your Base Are Belong to Nepal: Exploring the Connection Between 'All Your Base' Meme Popularity and Kerosene Consumption"

[[ABSTRACT]]
In this paper, we delve into the intriguing correlation between the infamous "all your base" meme and kerosene usage in the enchanting country of Nepal. Our research team, armed with data from Google Trends and the Energy Information Administration, embarked on a quest to unravel this curious connection. With a correlation coefficient of 0.9754426 and a p-value less than 0.01 for the period spanning 2006 to 2021, our findings reveal a surprisingly strong link between the enduring popularity of the meme and kerosene consumption in Nepal. We offer insights into the potential impact of internet culture on energy preferences, sprinkled with a dash of humor and a generous serving of statistical analysis. Join us on this whimsical journey through the intersection of memes and fuel preferences – it's a gas!

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
Introduction
The realm of internet memes is a peculiar and ever-changing landscape, where the most unexpected connections and phenomena can arise. In the midst of this digital whirl, the "all your base" meme stands as a testament to the enduring, albeit baffling, appeal of internet culture. Meanwhile, nestled in the scenic mountains and valleys of Nepal, kerosene has long been a staple for lighting and cooking, playing a crucial role in the daily lives of many Nepalese households.
Now, dear reader, one might ponder: What do these seemingly disparate entities – a retro video game meme and kerosene consumption in Nepal – have in common? It’s a question that has confounded minds and sparked curiosity, leading us to embark on a most unconventional, and dare we say, surprisingly illuminating journey of exploration.
Our endeavor to unearth the connection between the "all your base" meme and kerosene consumption in Nepal has taken us through uncharted terrain, combining the wit and whimsy of internet culture with the solemnity of energy analysis. The quest has been both a scholarly pursuit and a delightful sleuthing adventure, as we navigate through data sets, statistical analyses, and the occasional chuckle-inducing revelation.
Our research findings, which present a correlation coefficient that could rival the gravitational pull of a black hole, and a p-value lower than the esteem for a fresh cup of morning coffee, offer a compelling narrative of the intertwined fates of an internet relic and a household utility. This unlikely relationship has not only captivated our research team but also redefined our understanding of the far-reaching influence of internet phenomena on the most unexpected facets of human life.
So, buckle up, fellow academics, as we embark on this voyage to unravel the mystique of the "all your base" meme and its curious entanglement with kerosene consumption in the enchanting land of Nepal. Let us navigate this uncharted territory where statistical significance meets absurdity, and where the mundane and the absurd dance in bizarre harmony – for in this realm, all your base are belong to Nepal, and the kerosene consumption is anything but basic!

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
LITERATURE REVIEW

The academic exploration of the 'all your base' meme and its unexpected connection to kerosene consumption in Nepal has traversed a variety of scholarly domains and cultural references, akin to the final frontier of an exceedingly peculiar crossover event. Our investigation into this unconventional correlation has invited us to delve into a veritable menagerie of studies and sources, from the erudite works of Smith, Doe, and Jones to the improbable likes of fiction and popular media.

In "The Dynamics of Internet Memes" by Smith, the authors find an in-depth examination of the propagation patterns and cultural significance of internet memes, shedding light on the mechanisms that launch seemingly trivial snippets into global consciousness. The juxtaposition of this scholarly treatise with the unsuspecting world of kerosene usage in Nepal catalyzes a union of the absurd and the mundane, not unlike the serendipitous blending of unexpected ingredients in a peculiar culinary concoction.

Doe's publication, "Energy Trends and Household Consumption," commands attention with its rigorous analysis of energy usage patterns and the socioeconomic factors influencing fuel preferences. Though the primary focus of Doe's work lies beyond the membranous reaches of internet culture, the tangential relevance to our endeavor adds a delightful twist of unexpected coherence, not unlike stumbling upon a meme reference in an otherwise staid academic discourse.

Jones' empirical study, "Kerosene Dynamics in Nepal," provides a nuanced examination of the historical and contemporary utilization of kerosene in Nepalese households. The juxtaposition of Jones' scholarly insights with the whimsical territory of internet memes fosters a junction where the serious and the absurd coalesce in an unlikely waltz, akin to discovering an intricate dance routine in the midst of a surrealist performance art piece.

Turning to non-fiction books, "The Internet: A Historical Perspective" and "Energy and Society: An Introduction" offer a veneer of sagacity and scholarly heft to our pursuit, even though their direct relevance to the 'all your base' meme and kerosene in Nepal may seem as improbable as a sumptuous feast at a desert oasis.

In the realm of fiction, the compelling themes of connectivity and human engagement with technology in "Snow Crash" and "Ready Player One" evoke a whimsical resonance with our endeavor, weaving a tapestry of speculative significance and fantastical relevance, not unlike a vivid dream that bears unexpected insights upon awakening.

As for popular media, the intrepid researchers have delved into intriguing TV shows, such as "Expedition Unknown" and "The Unexplained Files," seeking kernels of inspiration and unconventional perspectives that may shed light on the enchanting enigma of the 'all your base' meme's inexplicable entanglement with kerosene consumption in Nepal. These forays into television programming have not only expanded our cultural horizons but have also provided a respite from the rigors of scholarly pursuit, in a manner akin to a whimsical detour through mesmerizing diversions.

In sum, the synthesis of scholarly works, non-fiction tomes, works of fiction, and popular media has lent an uncanny richness to our scholarly journey, infusing it with an enticing blend of erudition and unexpected whimsy, not unlike discovering a gourmet meal in the unlikeliest of venues. With this eclectic compendium of sources, we now stand poised to untangle the enigmatic web that binds the 'all your base' meme to the comforting flicker of kerosene flames in the Nepalese night. Onward, fellow adventurers, into the riveting unknown!

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 'all your base' meme and Kerosene used in Nepal. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from 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]]
"All Your Base Are Belong to Nepal: Exploring the Connection Between 'All Your Base' Meme Popularity and Kerosene Consumption"

[[ABSTRACT]]
In this paper, we delve into the intriguing correlation between the infamous "all your base" meme and kerosene usage in the enchanting country of Nepal. Our research team, armed with data from Google Trends and the Energy Information Administration, embarked on a quest to unravel this curious connection. With a correlation coefficient of 0.9754426 and a p-value less than 0.01 for the period spanning 2006 to 2021, our findings reveal a surprisingly strong link between the enduring popularity of the meme and kerosene consumption in Nepal. We offer insights into the potential impact of internet culture on energy preferences, sprinkled with a dash of humor and a generous serving of statistical analysis. Join us on this whimsical journey through the intersection of memes and fuel preferences – it's a gas!

[[INTRODUCTION]]
Introduction
The realm of internet memes is a peculiar and ever-changing landscape, where the most unexpected connections and phenomena can arise. In the midst of this digital whirl, the "all your base" meme stands as a testament to the enduring, albeit baffling, appeal of internet culture. Meanwhile, nestled in the scenic mountains and valleys of Nepal, kerosene has long been a staple for lighting and cooking, playing a crucial role in the daily lives of many Nepalese households.
Now, dear reader, one might ponder: What do these seemingly disparate entities – a retro video game meme and kerosene consumption in Nepal – have in common? It’s a question that has confounded minds and sparked curiosity, leading us to embark on a most unconventional, and dare we say, surprisingly illuminating journey of exploration.
Our endeavor to unearth the connection between the "all your base" meme and kerosene consumption in Nepal has taken us through uncharted terrain, combining the wit and whimsy of internet culture with the solemnity of energy analysis. The quest has been both a scholarly pursuit and a delightful sleuthing adventure, as we navigate through data sets, statistical analyses, and the occasional chuckle-inducing revelation.
Our research findings, which present a correlation coefficient that could rival the gravitational pull of a black hole, and a p-value lower than the esteem for a fresh cup of morning coffee, offer a compelling narrative of the intertwined fates of an internet relic and a household utility. This unlikely relationship has not only captivated our research team but also redefined our understanding of the far-reaching influence of internet phenomena on the most unexpected facets of human life.
So, buckle up, fellow academics, as we embark on this voyage to unravel the mystique of the "all your base" meme and its curious entanglement with kerosene consumption in the enchanting land of Nepal. Let us navigate this uncharted territory where statistical significance meets absurdity, and where the mundane and the absurd dance in bizarre harmony – for in this realm, all your base are belong to Nepal, and the kerosene consumption is anything but basic!

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

**[[METHODOLOGY]]**

Our methodology harnessed the power of data mining, statistical analysis, and a healthy dose of whimsy to explore the relationship between the "all your base" meme and kerosene consumption in Nepal. Our research team embarked on a journey akin to traversing the digital expanse of the internet while simultaneously scaling the formidable peaks of energy data analysis.

**Data Collection and Processing**

To begin this quixotic quest, we turned our gaze towards Google Trends, the digital oracle that provides insights into the ebbs and flows of internet culture. We extracted data on the search interest for the "all your base" meme from 2006 to 2021, capturing its undulating popularity across the years. This endeavor required the strategic navigation of search parameters and keyword clouds, as we sifted through the vast sea of internet whimsy to pinpoint the meme's digital resonance.

Simultaneously, we cast our net into the realm of energy statistics, drawing from the Energy Information Administration database to obtain kerosene consumption data specific to the enchanting land of Nepal. This involved trawling through detailed reports and statistics, deciphering the energy consumption patterns of Nepal's households with meticulous care – a process akin to unraveling the enigmatic strands of a digital tapestry.

The collected data was then scrutinized, cross-referenced, and massaged into a format suitable for statistical scrutiny, all the while ensuring that our findings gleamed like a well-polished meme and burned as brightly as a kerosene lamp in a Nepalese hut.

**Correlation Analysis**

Armed with our trove of data, we applied the formidable tools of correlation analysis to unravel the intertwined fates of the "all your base" meme and kerosene consumption in Nepal. We dared to confront the challenge of juggling correlation coefficients, p-values, and scatter plots with the finesse of a circus performer, aiming to discern meaningful patterns amidst the chaos of internet culture and energy consumption.

Our analysis sought to reveal not only the strength of the relationship between meme popularity and kerosene usage but also the potential implications of this connection on the socio-cultural and energy landscape of Nepal. We ventured into this statistical labyrinth equipped with an unwavering spirit of inquiry, a touch of whimsy, and enough coffee to fuel a meme marathon.

**Data Quality Assurance**

In our pursuit of scientific rigor and statistical integrity, we exercised utmost care in validating the quality and reliability of the data sources used. We scrutinized the provenance of internet search data, ensuring that the "all your base" meme's digital footprint was faithfully captured without the interference of internet imps or mischievous bots. Additionally, we cross-verified the kerosene consumption data with utmost scrutiny, guarding against any anomalies that could cast a shadow of doubt on our findings.

**Sensitivity Analysis**

Recognizing the inherently complex nature of internet phenomena and energy consumption patterns, we conducted sensitivity analyses to assess the robustness of our findings. We probed the resilience of our correlations to potential variations in the data, akin to ensuring that a meme's comedic timing remains impeccable across diverse internet subcultures and that kerosene's luminous presence shines undiminished amidst the vagaries of household energy preferences.

In essence, our methodology combined the precision of statistical analysis with the levity of internet culture, resulting in a delightful blend of curiosity, rigor, and the occasional burst of laughter. This approach allowed us to uncover not only the statistical significance of the "all your base" meme-kerosene consumption nexus but also to infuse the dry arena of data analysis with the whimsy befitting an exploration of internet absurdity and energy intrigue.

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 'all your base' meme and Kerosene used in Nepal. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Limit your response to 500 tokens.

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

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

[[TITLE]]
"All Your Base Are Belong to Nepal: Exploring the Connection Between 'All Your Base' Meme Popularity and Kerosene Consumption"

[[ABSTRACT]]
In this paper, we delve into the intriguing correlation between the infamous "all your base" meme and kerosene usage in the enchanting country of Nepal. Our research team, armed with data from Google Trends and the Energy Information Administration, embarked on a quest to unravel this curious connection. With a correlation coefficient of 0.9754426 and a p-value less than 0.01 for the period spanning 2006 to 2021, our findings reveal a surprisingly strong link between the enduring popularity of the meme and kerosene consumption in Nepal. We offer insights into the potential impact of internet culture on energy preferences, sprinkled with a dash of humor and a generous serving of statistical analysis. Join us on this whimsical journey through the intersection of memes and fuel preferences – it's a gas!

[[LITERATURE REVIEW]]
LITERATURE REVIEW
The academic exploration of the 'all your base' meme and its unexpected connection to kerosene consumption in Nepal has traversed a variety of scholarly domains and cultural references, akin to the final frontier of an exceedingly peculiar crossover event. Our investigation into this unconventional correlation has invited us to delve into a veritable menagerie of studies and sources, from the erudite works of Smith, Doe, and Jones to the improbable likes of fiction and popular media.
In "The Dynamics of Internet Memes" by Smith, the authors find an in-depth examination of the propagation patterns and cultural significance of internet memes, shedding light on the mechanisms that launch seemingly trivial snippets into global consciousness. The juxtaposition of this scholarly treatise with the unsuspecting world of kerosene usage in Nepal catalyzes a union of the absurd and the mundane, not unlike the serendipitous blending of unexpected ingredients in a peculiar culinary concoction.
Doe's publication, "Energy Trends and Household Consumption," commands attention with its rigorous analysis of energy usage patterns and the socioeconomic factors influencing fuel preferences. Though the primary focus of Doe's work lies beyond the membranous reaches of internet culture, the tangential relevance to our endeavor adds a delightful twist of unexpected coherence, not unlike stumbling upon a meme reference in an otherwise staid academic discourse.
Jones' empirical study, "Kerosene Dynamics in Nepal," provides a nuanced examination of the historical and contemporary utilization of kerosene in Nepalese households. The juxtaposition of Jones' scholarly insights with the whimsical territory of internet memes fosters a junction where the serious and the absurd coalesce in an unlikely waltz, akin to discovering an intricate dance routine in the midst of a surrealist performance art piece.
Turning to non-fiction books, "The Internet: A Historical Perspective" and "Energy and Society: An Introduction" offer a veneer of sagacity and scholarly heft to our pursuit, even though their direct relevance to the 'all your base' meme and kerosene in Nepal may seem as improbable as a sumptuous feast at a desert oasis.
In the realm of fiction, the compelling themes of connectivity and human engagement with technology in "Snow Crash" and "Ready Player One" evoke a whimsical resonance with our endeavor, weaving a tapestry of speculative significance and fantastical relevance, not unlike a vivid dream that bears unexpected insights upon awakening.
As for popular media, the intrepid researchers have delved into intriguing TV shows, such as "Expedition Unknown" and "The Unexplained Files," seeking kernels of inspiration and unconventional perspectives that may shed light on the enchanting enigma of the 'all your base' meme's inexplicable entanglement with kerosene consumption in Nepal. These forays into television programming have not only expanded our cultural horizons but have also provided a respite from the rigors of scholarly pursuit, in a manner akin to a whimsical detour through mesmerizing diversions.
In sum, the synthesis of scholarly works, non-fiction tomes, works of fiction, and popular media has lent an uncanny richness to our scholarly journey, infusing it with an enticing blend of erudition and unexpected whimsy, not unlike discovering a gourmet meal in the unlikeliest of venues. With this eclectic compendium of sources, we now stand poised to untangle the enigmatic web that binds the 'all your base' meme to the comforting flicker of kerosene flames in the Nepalese night. Onward, fellow adventurers, into the riveting unknown!

[[RESULTS]]
The analysis of the data collected from Google Trends and the Energy Information Administration revealed a striking correlation between the popularity of the "all your base" meme and kerosene consumption in Nepal. Over the period from 2006 to 2021, our research team found a correlation coefficient of 0.9754426, indicating a remarkably strong relationship between these seemingly unrelated phenomena.
Furthermore, the coefficient of determination (r-squared) was calculated to be 0.9514883, signifying that approximately 95.15% of the variation in kerosene usage in Nepal can be explained by the popularity of the "all your base" meme. This finding points to a compelling association between internet culture and energy consumption patterns, a connection that transcends traditional boundaries and expectations.
The statistical analysis also yielded a p-value of less than 0.01, providing strong evidence against the null hypothesis and affirming the significance of the observed correlation. This outcome underscores the robustness of the relationship between the meme and kerosene usage in Nepal and further emphasizes the validity of our findings.
Notably, our results are depicted graphically in Figure 1, which showcases a scatterplot illustrating the pronounced correlation between the popularity of the "all your base" meme and kerosene consumption in Nepal. The plot serves as a visual testament to the unanticipated yet compelling interplay between internet memes and energy preferences, presenting a picture that is as enlightening as it is whimsical.
In essence, our findings illuminate a remarkable connection between a classic internet meme and a fundamental resource in the context of Nepalese daily life. This unexpected relationship underscores the intricate influence of digital culture on real-world phenomena, infusing a touch of intrigue and wonder into the realm of energy analysis. It appears that, in the grand tapestry of human existence, even the most unconventional pairings can hold surprising significance, revealing profound truths in the most unexpected places.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The uncovering of a remarkably robust correlation between the enduring popularity of the "all your base" meme and kerosene consumption in Nepal has opened a Pandora's box of intriguing possibilities. With a correlation coefficient of 0.9754426 and a p-value of less than 0.01, our findings reinforce and extend the zany, enigmatic realm that is the intersection of internet culture and everyday energy choices.

Our foray into the tangled thickets of scholarly literature and popular culture has proven to be as illuminating as it is unexpectedly entertaining. The works of Smith, Doe, and Jones, while ostensibly unrelated to the whimsical world of internet memes and kerosene, have, in fact, provided a sturdy foundation for our own discoveries. Much like an unexpected fusion dish in a culinary adventure, the seemingly disparate sources have coalesced to shed light on the uncanny connection between digital memes and fuel preferences in Nepal.

The statistical veracity we have unearthed not only amplifies the findings of our distinguished predecessors but also adds a vibrant hue to the canvas of unconventional research. The coefficient of determination, at a dazzling 0.9514883, underscores the powerful influence of the "all your base" meme on kerosene usage. In essence, our results embolden and amplify the absurd yet undeniably substantial crossover event embodied by the 'all your base' meme and kerosene consumption in Nepal.

Figure 1, the visual manifestation of our revelation, stands as a testament to the captivating dance between internet culture and the quotidian demands of energy consumption. It depicts a narrative as compelling as a novel and as confounding as a cryptic crossword puzzle - a snapshot of the surreal cohesion between meme virality and kerosene habits.

In the grand tapestry of scholarly pursuits, our findings bring forth a realization as groundbreaking as it is amusing - that within the chaos of internet memes and the mundanity of energy consumption lies an intricate and unexpected linkage, forging a bond as unlikely as a llama in a library. This observational breakthrough serves as a poignant reminder that the world of research, much like life itself, is rife with delightful surprises, unconventional connections, and a penchant for the unexpected.

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 'all your base' meme and Kerosene used in Nepal. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
"All Your Base Are Belong to Nepal: Exploring the Connection Between 'All Your Base' Meme Popularity and Kerosene Consumption"

[[ABSTRACT]]
In this paper, we delve into the intriguing correlation between the infamous "all your base" meme and kerosene usage in the enchanting country of Nepal. Our research team, armed with data from Google Trends and the Energy Information Administration, embarked on a quest to unravel this curious connection. With a correlation coefficient of 0.9754426 and a p-value less than 0.01 for the period spanning 2006 to 2021, our findings reveal a surprisingly strong link between the enduring popularity of the meme and kerosene consumption in Nepal. We offer insights into the potential impact of internet culture on energy preferences, sprinkled with a dash of humor and a generous serving of statistical analysis. Join us on this whimsical journey through the intersection of memes and fuel preferences – it's a gas!

[[INTRDUCTION]]
Introduction
The realm of internet memes is a peculiar and ever-changing landscape, where the most unexpected connections and phenomena can arise. In the midst of this digital whirl, the "all your base" meme stands as a testament to the enduring, albeit baffling, appeal of internet culture. Meanwhile, nestled in the scenic mountains and valleys of Nepal, kerosene has long been a staple for lighting and cooking, playing a crucial role in the daily lives of many Nepalese households.
Now, dear reader, one might ponder: What do these seemingly disparate entities – a retro video game meme and kerosene consumption in Nepal – have in common? It’s a question that has confounded minds and sparked curiosity, leading us to embark on a most unconventional, and dare we say, surprisingly illuminating journey of exploration.
Our endeavor to unearth the connection between the "all your base" meme and kerosene consumption in Nepal has taken us through uncharted terrain, combining the wit and whimsy of internet culture with the solemnity of energy analysis. The quest has been both a scholarly pursuit and a delightful sleuthing adventure, as we navigate through data sets, statistical analyses, and the occasional chuckle-inducing revelation.
Our research findings, which present a correlation coefficient that could rival the gravitational pull of a black hole, and a p-value lower than the esteem for a fresh cup of morning coffee, offer a compelling narrative of the intertwined fates of an internet relic and a household utility. This unlikely relationship has not only captivated our research team but also redefined our understanding of the far-reaching influence of internet phenomena on the most unexpected facets of human life.
So, buckle up, fellow academics, as we embark on this voyage to unravel the mystique of the "all your base" meme and its curious entanglement with kerosene consumption in the enchanting land of Nepal. Let us navigate this uncharted territory where statistical significance meets absurdity, and where the mundane and the absurd dance in bizarre harmony – for in this realm, all your base are belong to Nepal, and the kerosene consumption is anything but basic!

[[RESULTS]]
The analysis of the data collected from Google Trends and the Energy Information Administration revealed a striking correlation between the popularity of the "all your base" meme and kerosene consumption in Nepal. Over the period from 2006 to 2021, our research team found a correlation coefficient of 0.9754426, indicating a remarkably strong relationship between these seemingly unrelated phenomena.
Furthermore, the coefficient of determination (r-squared) was calculated to be 0.9514883, signifying that approximately 95.15% of the variation in kerosene usage in Nepal can be explained by the popularity of the "all your base" meme. This finding points to a compelling association between internet culture and energy consumption patterns, a connection that transcends traditional boundaries and expectations.
The statistical analysis also yielded a p-value of less than 0.01, providing strong evidence against the null hypothesis and affirming the significance of the observed correlation. This outcome underscores the robustness of the relationship between the meme and kerosene usage in Nepal and further emphasizes the validity of our findings.
Notably, our results are depicted graphically in Figure 1, which showcases a scatterplot illustrating the pronounced correlation between the popularity of the "all your base" meme and kerosene consumption in Nepal. The plot serves as a visual testament to the unanticipated yet compelling interplay between internet memes and energy preferences, presenting a picture that is as enlightening as it is whimsical.
In essence, our findings illuminate a remarkable connection between a classic internet meme and a fundamental resource in the context of Nepalese daily life. This unexpected relationship underscores the intricate influence of digital culture on real-world phenomena, infusing a touch of intrigue and wonder into the realm of energy analysis. It appears that, in the grand tapestry of human existence, even the most unconventional pairings can hold surprising significance, revealing profound truths in the most unexpected places.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our research has shed light on the unorthodox yet compelling relationship between the enduring appeal of the "all your base" meme and kerosene consumption in Nepal. Our findings, with a correlation coefficient so strong it could be mistaken for an unbreakable bond in a rom-com, have unveiled a connection as fascinating as it is unexpected. The statistical analyses, much like a skilled magician, have pulled back the curtain on the mystique of this correlation, leaving us both bewildered and amused by the whimsical dance of memes and fuel preferences.

This bizarre pas de deux between internet culture and energy consumption in Nepal serves as a poignant reminder that the world of memes extends far beyond the realm of cat videos and viral challenges. The influence of internet phenomena reaches into the kitchens and lantern-lit homes of Nepal, illustrating the manifold ways in which digital culture permeates the most mundane aspects of life. Our journey through this peculiar intersection of memes and kerosene has offered a glimpse into the unexpected twists and turns of societal influences, accompanied by the occasional "Eureka!" moment that left us grinning like Cheshire cats.

As we reflect on the implications of our findings, it becomes evident that no further research is needed in this area. The correlation, robust and resolute like a determined mountaineer on the slopes of the Himalayas, stands as a testament to the enduring and enigmatic connections that abound in the tapestry of human experience. The allure of the "all your base" meme continues to cast its spell on the kerosene preferences of Nepalese households, defying logic and expectation with its whimsical hold.

Therefore, with a hearty chuckle and a profound sense of wonder, we bid adieu to this unconventional journey of discovery. For in the realm where memes and kerosene converge, there is little need for further probing – the connection is as clear as day, and as indelible as a well-loved meme. It seems that in the delightful chaos of internet culture, all our base are indeed belong to Nepal, and the kerosene consumption will continue to illuminate this peculiar partnership.

And with that, we declare that the saga of the "all your base" meme and kerosene in Nepal has been thoroughly unraveled, leaving us with a mix of statistical enlightenment and whimsical bemusement. As we close this chapter of our scholarly escapade, we do so with a wink, a nod, and a newfound appreciation for the unexpected harmonies that permeate the fabric of our world.

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 All Your Base Are Belong to Nepal: Exploring the Connection Between 'All Your Base' Meme Popularity and Kerosene Consumption. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Internet Memes and Unconventional Socioeconomic Analysis

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 All Your Base Are Belong to Nepal: Exploring the Connection Between 'All Your Base' Meme Popularity and Kerosene Consumption. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Internet Memetics and Cultural Phenomena

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 All Your Base Are Belong to Nepal: Exploring the Connection Between 'All Your Base' Meme Popularity and Kerosene Consumption with an abstract of In this paper, we delve into the intriguing correlation between the infamous "all your base" meme and kerosene usage in the enchanting country of Nepal. Our research team, armed with data from Google Trends and the Energy Information Administration, embarked on a quest to unravel this curious connection. With a correlation coefficient of 0.9754426 and a p-value less than 0.01 for the period spanning 2006 to 2021, our findings reveal a surprisingly strong link between the enduring popularity of the meme and kerosene consumption in Nepal. We offer insights into the potential impact of internet culture on energy preferences, sprinkled with a dash of humor and a generous serving of statistical analysis. Join us on this whimsical journey through the intersection of memes and fuel preferences – it's a gas!

ChatGPT:

"all your base" meme popularity, kerosene consumption Nepal, correlation between meme popularity and kerosene usage, Google Trends data analysis, Energy Information Administration data, impact of internet culture on energy preferences

*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 'all your base' meme
Detailed data title: Relative volume of Google searches for 'all your base' (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 'all your base' meme

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

Correlation r = 0.9754426 (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 = 0.9514883 (Coefficient of determination)
This means 95.1% of the change in the one variable (i.e., Kerosene used in Nepal) is predictable based on the change in the other (i.e., Popularity of the 'all your base' meme) over the 16 years from 2006 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.4E-10.^Show 0.0000000001353565754830756300
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 0.98 in 1.4E-8% of random cases. Said differently, if you correlated 7,387,893,765 random variables^Note You don't actually need 7 billion 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.

[ 0.93, 0.99 ] 95% correlation confidence interval (using the Fisher z-transformation)
^{Read more about the confidence interval} The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

This one is a bit more complciated than the other calculations, but I include it because many people have been pushing for confidence intervals instead of p-value calculations (for example: NEJM. However, if you are dredging data, you can reliably find yourself in the 5%. That's my goal!

All values for the years included above: ^Note If I were being very sneaky, I could trim years from the beginning or end of the datasets to increase the correlation on some pairs of variables. I don't do that because there are already plenty of correlations in my database without monkeying with the years.

Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.

	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021
Popularity of the 'all your base' meme (Relative popularity)	76.1667	44.5	30.25	25.9167	21	18.5	12.0833	10.6667	10.0833	8.83333	6.91667	6.5	6.16667	6.33333	6.83333	6.66667
Kerosene used in Nepal (Million Barrels/Day)	3.17671	2.49901	1.28833	0.868301	0.720055	0.677699	0.401284	0.317671	0.317671	0.232958	0.316803	0.360027	0.402384	0.304164	0.288296	0.297701

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.
Outlandish outliers: There are "outliers" in this data.^Note In concept, "outlier" just means "way different than the rest of your dataset." When calculating a correlation like this, they are particularly impactful because a single outlier can substantially increase your correlation.

For the purposes of this project, I counted a point as an outlier if it the residual was two standard deviations from the mean.

(This bullet point only shows up in the details page on charts that do, in fact, have outliers.)
They stand out on the scatterplot above: notice the dots that are far away from any other dots. I intentionally mishandeled outliers, which makes the correlation look extra strong.

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([76.1667,44.5,30.25,25.9167,21,18.5,12.0833,10.6667,10.0833,8.83333,6.91667,6.5,6.16667,6.33333,6.83333,6.66667,])
array_2 = np.array([3.17671,2.49901,1.28833,0.868301,0.720055,0.677699,0.401284,0.317671,0.317671,0.232958,0.316803,0.360027,0.402384,0.304164,0.288296,0.297701,])
array_1_name = "Popularity of the 'all your base' meme"
array_2_name = "Kerosene used in Nepal"

# 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 'all your base' meme
Line chart for only Kerosene used in Nepal
AI-generated correlation image
The spurious research paper: All Your Base Are Belong to Nepal: Exploring the Connection Between 'All Your Base' Meme Popularity and Kerosene Consumption

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Correlation ID: 4863 · Black Variable ID: 25161 · Red Variable ID: 24733


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