Spurious correlation #5,461 · 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 'is this a butterfly' meme and the second variable is Liquefied petroleum gas used in Chad. 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 'is this a butterfly' meme and the second variable is Liquefied petroleum gas used in Chad. 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 'is this a butterfly' meme fluttered its way into online stardom, it created a surge in internet traffic. This led to a higher demand for data, causing an uptick in the usage of servers and electronic devices. Manufacturing and powering these electronic devices in turn raised the need for energy. Now, here's where it gets a bit intense - with the LPG usage soaring, it's like the whole country of Chad said, "LPGas, we're ready to butterfly the night away!" It's a gasp-inducing connection that no one saw coming, but there you have it – the social media butterfly effect in full flight!

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

AI academic paper

(Because p < 0.01)

Mischievous Memes: Mapping the Marvelous Marriage of the 'Is This a Butterfly' Meme and Liquefied Petroleum Gas in Chad

The International Journal of Internet Memes and Unlikely Connections

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 dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.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 'is this a butterfly' meme and Liquefied petroleum gas used in Chad. 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]]
Mischievous Memes: Mapping the Marvelous Marriage of the 'Is This a Butterfly' Meme and Liquefied Petroleum Gas in Chad

[[ABSTRACT]]
This study investigates the fascinating correlation between the viral sensation of the 'is this a butterfly' meme and the consumption of Liquefied Petroleum Gas (LPG) in Chad. By utilizing data from Google Trends and Energy Information Administration, we sought to unravel this peculiar connection. Our analysis reveals a robust correlation coefficient of 0.8907558 and p < 0.01 for the period spanning 2006 to 2021. The findings not only provide an insightful glimpse into the whimsical world of internet culture but also shed light on the unexpected interplay between online phenomena and energy usage in a specific geographic context. This paper offers a lighthearted yet thought-provoking exploration of the intricate relationship between viral memes and energy consumption, demonstrating that even the most unconventional connections can yield valuable insights.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
INTRODUCTION
The modern era has ushered in a new and peculiar intersection of digital culture and socioeconomic phenomena, giving rise to an assortment of captivating correlations that tickle the fancy of researchers across multiple disciplines. This study delves into the enchanting entanglement between the notorious 'is this a butterfly' meme and the consumption of Liquefied Petroleum Gas (LPG) in the charming country of Chad. While one might initially dismiss such a correlation as mere happenstance, our analysis uncovers a bond so robust that even the most staunch skeptics would find it difficult to deny.
The landscape of internet culture is teeming with memes of all shapes and sizes, but few have captured the whimsy of the collective consciousness quite like the 'is this a butterfly' meme. As this viral sensation fluttered its way across the digital realm, it sparked a frenzy of engagement, captivating the hearts and minds of netizens around the globe. Meanwhile, in the realm of energy consumption, LPG stands as a stalwart companion in the daily lives of countless individuals, its utility and versatility making it a ubiquitous presence in households and industries alike.
The magical marriage of these two seemingly disparate entities forms the crux of our investigation. With gleeful enthusiasm, we set out to harness the power of statistics and data analysis to unravel this fantastical connection, prodding at the underbelly of this peculiar pairing to reveal the underpinnings of its enigmatic dance. Our quest for understanding led us to enlist the aid of Google Trends and the Energy Information Administration, as we sought to encapsulate the essence of this fascinating linkage within the confines of empirical evidence.
In the following sections, we will embark on a whimsical journey through the labyrinth of data and analysis, pausing now and then to peer through the looking glass of correlation coefficients and p-values. Through our lighthearted yet thought-provoking exploration, we aim to not only shine a light on the unexpected synergy between internet memes and energy usage in a specific geographic setting but also to spark a chuckle or two among our esteemed colleagues. For as we shall demonstrate, even the most unconventional connections have the potential to yield valuable insights, and in the world of research, expect the unexpected!

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

In their seminal work, Smith and colleagues (2017) delve into the marvelous world of internet memes and their societal impact, laying the foundation for our own exploration. The authors find that memes not only serve as vessels of humor and cultural commentary but also have the potential to influence and mirror societal trends in seemingly inexplicable ways. Furthermore, Doe (2018) investigates the usage patterns of Liquefied Petroleum Gas (LPG) in various regions, highlighting its significant role in household and industrial domains. Jones (2019) expounds on the interconnectedness of seemingly unrelated phenomena, paving the way for the consideration of unconventional correlations in our research.

Turning our attention to the realm of non-fiction literature, Rimland's "The Energy Bus: 10 Rules to Fuel Your Life, Work, and Team with Positive Energy" provides an insightful perspective on the interplay between energy and human endeavors. Similarly, Downs' "Memes to Movements: How the World's Most Viral Media Is Changing Social Protest and Power" offers a lens through which to view the potent influence of viral media within societal dynamics.

In a turn towards fiction, Dan Brown's "Digital Fortress" and William Gibson's "Pattern Recognition" offer speculative and thrilling narratives that touch upon the evolving landscape of digital culture and its potential reverberations in the physical world. These works serve as imaginative musings that parallel our own curiosity in unraveling the peculiar connection between the 'is this a butterfly' meme and LPG consumption.

As part of a comprehensive investigation, the researchers immersed themselves in the binge-watching of relevant TV shows for the purpose of contextual understanding and cultural immersion. This included, but was not limited to, "Breaking Bad," exploring the underground world of the gas industry, and "Arrested Development," to grasp the intricacies of familial dynamics and humor, both of which are tangentially relevant to our research.

The authors' dedication to understanding the underlying dynamics of the 'is this a butterfly' meme's popularity and its correlation with LPG consumption was fueled by a deeply seated curiosity and a splash of whimsy. This eclectic blend of influences paved the way for a research endeavor that, while undeniably peculiar, promises to shed light on the unexpected intersections of internet phenomena and energy usage. The following sections will unravel the findings of this mischievous investigation, inviting the readers to partake in this delightfully unconventional journey of discovery.

Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.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 'is this a butterfly' meme and Liquefied petroleum gas used in Chad. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from 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]]
Mischievous Memes: Mapping the Marvelous Marriage of the 'Is This a Butterfly' Meme and Liquefied Petroleum Gas in Chad

[[ABSTRACT]]
This study investigates the fascinating correlation between the viral sensation of the 'is this a butterfly' meme and the consumption of Liquefied Petroleum Gas (LPG) in Chad. By utilizing data from Google Trends and Energy Information Administration, we sought to unravel this peculiar connection. Our analysis reveals a robust correlation coefficient of 0.8907558 and p < 0.01 for the period spanning 2006 to 2021. The findings not only provide an insightful glimpse into the whimsical world of internet culture but also shed light on the unexpected interplay between online phenomena and energy usage in a specific geographic context. This paper offers a lighthearted yet thought-provoking exploration of the intricate relationship between viral memes and energy consumption, demonstrating that even the most unconventional connections can yield valuable insights.

[[INTRODUCTION]]
INTRODUCTION
The modern era has ushered in a new and peculiar intersection of digital culture and socioeconomic phenomena, giving rise to an assortment of captivating correlations that tickle the fancy of researchers across multiple disciplines. This study delves into the enchanting entanglement between the notorious 'is this a butterfly' meme and the consumption of Liquefied Petroleum Gas (LPG) in the charming country of Chad. While one might initially dismiss such a correlation as mere happenstance, our analysis uncovers a bond so robust that even the most staunch skeptics would find it difficult to deny.
The landscape of internet culture is teeming with memes of all shapes and sizes, but few have captured the whimsy of the collective consciousness quite like the 'is this a butterfly' meme. As this viral sensation fluttered its way across the digital realm, it sparked a frenzy of engagement, captivating the hearts and minds of netizens around the globe. Meanwhile, in the realm of energy consumption, LPG stands as a stalwart companion in the daily lives of countless individuals, its utility and versatility making it a ubiquitous presence in households and industries alike.
The magical marriage of these two seemingly disparate entities forms the crux of our investigation. With gleeful enthusiasm, we set out to harness the power of statistics and data analysis to unravel this fantastical connection, prodding at the underbelly of this peculiar pairing to reveal the underpinnings of its enigmatic dance. Our quest for understanding led us to enlist the aid of Google Trends and the Energy Information Administration, as we sought to encapsulate the essence of this fascinating linkage within the confines of empirical evidence.
In the following sections, we will embark on a whimsical journey through the labyrinth of data and analysis, pausing now and then to peer through the looking glass of correlation coefficients and p-values. Through our lighthearted yet thought-provoking exploration, we aim to not only shine a light on the unexpected synergy between internet memes and energy usage in a specific geographic setting but also to spark a chuckle or two among our esteemed colleagues. For as we shall demonstrate, even the most unconventional connections have the potential to yield valuable insights, and in the world of research, expect the unexpected!

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

Sample Selection:
The data collection process began with a deliberate and calculated pursuit of internet trending behaviors, as we cast our virtual nets wide to capture the elusive essence of the 'is this a butterfly' meme. Through the use of Google Trends, we meticulously combed through a myriad of search queries to pinpoint the moments of peak virality for this whimsical meme. The Liquefied Petroleum Gas (LPG) consumption data in Chad was obtained from the Energy Information Administration, ensuring that our investigation encapsulated the full spectrum of energy usage in this charming country.

Data Cleaning and Harmonization:
Once the data from both sources was acquired, we undertook the Herculean task of cleaning and harmonizing the datasets, akin to untangling a particularly convoluted skein of internet memes. Any outliers or anomalies were treated with the meticulous care of a delicate butterfly, ensuring that the integrity of our dataset remained robust and resilient against the winds of statistical scrutiny.

Measurement of Variables:
The relative popularity of the 'is this a butterfly' meme was quantified using Google Trends' search interest index, which provided a nuanced measure of the meme's virality over time. Concurrently, the LPG consumption in Chad was expressed in metric tons, offering a tangible metric for the energy usage patterns within this endearing nation.

Statistical Analysis:
Our pursuit of unraveling the correlation between the 'is this a butterfly' meme and LPG consumption in Chad involved the application of robust statistical methodologies. Utilizing advanced software, we calculated Pearson's correlation coefficient to quantify the strength and direction of this peculiar relationship. The objective was to uncover a statistical association that would withstand the discerning gaze of even the most skeptical statistical critics, fortifying our findings with a wall of statistical significance.

Temporal Analysis:
To provide a comprehensive portrayal of the interplay between the 'is this a butterfly' meme and LPG consumption, we conducted a temporal analysis spanning the years 2006 to 2021. This expansive timeframe allowed us to capture the ebbs and flows of both the meme's virality and the fluctuations in LPG usage, painting a vivid picture of their entwined journey through the annals of time.

Geospatial Context:
Contextualizing the interrelationship within the geographic confines of Chad added a layer of complexity and richness to our analysis. By delving into the nuanced nuances of energy usage within this captivating country, we aimed to situate our findings within a specific regional context, thereby enhancing the depth and applicability of our research insights.

Ethical Considerations:
In accordance with ethical guidelines, no internet memes were harmed during the course of this study. Furthermore, the LPG consumption data was utilized with utmost respect for the privacy and integrity of energy usage patterns in Chad, ensuring that our investigation maintained the highest standards of ethical conduct.

In summary, the MEOW (Meme Energy and Overall Wackiness) framework, comprising meticulous data curation, advanced statistical analysis, and contextual anchoring within the geographic locale of Chad, served as the lighthearted yet rigorous backbone of our investigation into the curious correlation between the 'is this a butterfly' meme and LPG consumption.

Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.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 'is this a butterfly' meme and Liquefied petroleum gas used in Chad. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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

For the time period 2006 to 2021, you found a correlation 0.8907558, r-squared of 0.7934459, 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]]
Mischievous Memes: Mapping the Marvelous Marriage of the 'Is This a Butterfly' Meme and Liquefied Petroleum Gas in Chad

[[ABSTRACT]]
This study investigates the fascinating correlation between the viral sensation of the 'is this a butterfly' meme and the consumption of Liquefied Petroleum Gas (LPG) in Chad. By utilizing data from Google Trends and Energy Information Administration, we sought to unravel this peculiar connection. Our analysis reveals a robust correlation coefficient of 0.8907558 and p < 0.01 for the period spanning 2006 to 2021. The findings not only provide an insightful glimpse into the whimsical world of internet culture but also shed light on the unexpected interplay between online phenomena and energy usage in a specific geographic context. This paper offers a lighthearted yet thought-provoking exploration of the intricate relationship between viral memes and energy consumption, demonstrating that even the most unconventional connections can yield valuable insights.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
INTRODUCTION
The modern era has ushered in a new and peculiar intersection of digital culture and socioeconomic phenomena, giving rise to an assortment of captivating correlations that tickle the fancy of researchers across multiple disciplines. This study delves into the enchanting entanglement between the notorious 'is this a butterfly' meme and the consumption of Liquefied Petroleum Gas (LPG) in the charming country of Chad. While one might initially dismiss such a correlation as mere happenstance, our analysis uncovers a bond so robust that even the most staunch skeptics would find it difficult to deny.
The landscape of internet culture is teeming with memes of all shapes and sizes, but few have captured the whimsy of the collective consciousness quite like the 'is this a butterfly' meme. As this viral sensation fluttered its way across the digital realm, it sparked a frenzy of engagement, captivating the hearts and minds of netizens around the globe. Meanwhile, in the realm of energy consumption, LPG stands as a stalwart companion in the daily lives of countless individuals, its utility and versatility making it a ubiquitous presence in households and industries alike.
The magical marriage of these two seemingly disparate entities forms the crux of our investigation. With gleeful enthusiasm, we set out to harness the power of statistics and data analysis to unravel this fantastical connection, prodding at the underbelly of this peculiar pairing to reveal the underpinnings of its enigmatic dance. Our quest for understanding led us to enlist the aid of Google Trends and the Energy Information Administration, as we sought to encapsulate the essence of this fascinating linkage within the confines of empirical evidence.
In the following sections, we will embark on a whimsical journey through the labyrinth of data and analysis, pausing now and then to peer through the looking glass of correlation coefficients and p-values. Through our lighthearted yet thought-provoking exploration, we aim to not only shine a light on the unexpected synergy between internet memes and energy usage in a specific geographic setting but also to spark a chuckle or two among our esteemed colleagues. For as we shall demonstrate, even the most unconventional connections have the potential to yield valuable insights, and in the world of research, expect the unexpected!

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

The results of our analysis revealed an intriguing and somewhat peculiar correlation between the popularity of the 'is this a butterfly' meme and the usage of Liquefied Petroleum Gas (LPG) in Chad. The correlation coefficient of 0.8907558 indicates a remarkably strong positive relationship between these two seemingly unrelated variables. It seems that as the 'is this a butterfly' meme gained traction in the digital sphere, the consumption of LPG in Chad experienced a simultaneous surge, painting a whimsical picture of interconnectedness in the tapestry of internet culture and energy dynamics.

Furthermore, the r-squared value of 0.7934459 suggests that approximately 79.3% of the variability in LPG usage in Chad can be explained by the fluctuations in the popularity of the 'is this a butterfly' meme. It's quite remarkable to contemplate that almost 80% of the changes in LPG consumption can be attributed to the ebb and flow of this mischievous meme across the virtual landscape.

The p-value of < 0.01 provides compelling evidence to reject the null hypothesis, underscoring the statistical significance of the observed relationship. In other words, the probability of observing such a strong correlation by chance alone is infinitesimally small, reinforcing the notion that there is indeed a legitimate connection between the 'is this a butterfly' meme and LPG usage in Chad.

The inclusion of Fig. 1, a scatterplot illustrating the robust correlation between the popularity of the 'is this a butterfly' meme and LPG consumption in Chad, serves as a visual testament to the captivating dance of data points that we encountered during our analysis. The graph elegantly captures the whimsical nature of this relationship, intertwining the digital frivolity of internet memes with the practicality of energy utilization in a delightful display of statistical harmony.

In conclusion, our findings not only illuminate the quirky interplay between an internet meme and energy consumption in a specific geographic context but also beckon us to ponder the enigmatic connections that lurk beneath the surface of seemingly disparate phenomena. This study stands as a lighthearted yet thought-provoking examination of the unexpected marriage between internet culture and energy dynamics, emphasizing that even the most unconventional pairings can yield invaluable insights into the peculiarities of our interconnected world.

Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.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 'is this a butterfly' meme and Liquefied petroleum gas used in Chad. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Limit your response to 500 tokens.

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

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

[[TITLE]]
Mischievous Memes: Mapping the Marvelous Marriage of the 'Is This a Butterfly' Meme and Liquefied Petroleum Gas in Chad

[[ABSTRACT]]
This study investigates the fascinating correlation between the viral sensation of the 'is this a butterfly' meme and the consumption of Liquefied Petroleum Gas (LPG) in Chad. By utilizing data from Google Trends and Energy Information Administration, we sought to unravel this peculiar connection. Our analysis reveals a robust correlation coefficient of 0.8907558 and p < 0.01 for the period spanning 2006 to 2021. The findings not only provide an insightful glimpse into the whimsical world of internet culture but also shed light on the unexpected interplay between online phenomena and energy usage in a specific geographic context. This paper offers a lighthearted yet thought-provoking exploration of the intricate relationship between viral memes and energy consumption, demonstrating that even the most unconventional connections can yield valuable insights.

[[LITERATURE REVIEW]]
In their seminal work, Smith and colleagues (2017) delve into the marvelous world of internet memes and their societal impact, laying the foundation for our own exploration. The authors find that memes not only serve as vessels of humor and cultural commentary but also have the potential to influence and mirror societal trends in seemingly inexplicable ways. Furthermore, Doe (2018) investigates the usage patterns of Liquefied Petroleum Gas (LPG) in various regions, highlighting its significant role in household and industrial domains. Jones (2019) expounds on the interconnectedness of seemingly unrelated phenomena, paving the way for the consideration of unconventional correlations in our research.
Turning our attention to the realm of non-fiction literature, Rimland's "The Energy Bus: 10 Rules to Fuel Your Life, Work, and Team with Positive Energy" provides an insightful perspective on the interplay between energy and human endeavors. Similarly, Downs' "Memes to Movements: How the World's Most Viral Media Is Changing Social Protest and Power" offers a lens through which to view the potent influence of viral media within societal dynamics.
In a turn towards fiction, Dan Brown's "Digital Fortress" and William Gibson's "Pattern Recognition" offer speculative and thrilling narratives that touch upon the evolving landscape of digital culture and its potential reverberations in the physical world. These works serve as imaginative musings that parallel our own curiosity in unraveling the peculiar connection between the 'is this a butterfly' meme and LPG consumption.
As part of a comprehensive investigation, the researchers immersed themselves in the binge-watching of relevant TV shows for the purpose of contextual understanding and cultural immersion. This included, but was not limited to, "Breaking Bad," exploring the underground world of the gas industry, and "Arrested Development," to grasp the intricacies of familial dynamics and humor, both of which are tangentially relevant to our research.
The authors' dedication to understanding the underlying dynamics of the 'is this a butterfly' meme's popularity and its correlation with LPG consumption was fueled by a deeply seated curiosity and a splash of whimsy. This eclectic blend of influences paved the way for a research endeavor that, while undeniably peculiar, promises to shed light on the unexpected intersections of internet phenomena and energy usage. The following sections will unravel the findings of this mischievous investigation, inviting the readers to partake in this delightfully unconventional journey of discovery.

[[RESULTS]]
The results of our analysis revealed an intriguing and somewhat peculiar correlation between the popularity of the 'is this a butterfly' meme and the usage of Liquefied Petroleum Gas (LPG) in Chad. The correlation coefficient of 0.8907558 indicates a remarkably strong positive relationship between these two seemingly unrelated variables. It seems that as the 'is this a butterfly' meme gained traction in the digital sphere, the consumption of LPG in Chad experienced a simultaneous surge, painting a whimsical picture of interconnectedness in the tapestry of internet culture and energy dynamics.
Furthermore, the r-squared value of 0.7934459 suggests that approximately 79.3% of the variability in LPG usage in Chad can be explained by the fluctuations in the popularity of the 'is this a butterfly' meme. It's quite remarkable to contemplate that almost 80% of the changes in LPG consumption can be attributed to the ebb and flow of this mischievous meme across the virtual landscape.
The p-value of < 0.01 provides compelling evidence to reject the null hypothesis, underscoring the statistical significance of the observed relationship. In other words, the probability of observing such a strong correlation by chance alone is infinitesimally small, reinforcing the notion that there is indeed a legitimate connection between the 'is this a butterfly' meme and LPG usage in Chad.
The inclusion of Fig. 1, a scatterplot illustrating the robust correlation between the popularity of the 'is this a butterfly' meme and LPG consumption in Chad, serves as a visual testament to the captivating dance of data points that we encountered during our analysis. The graph elegantly captures the whimsical nature of this relationship, intertwining the digital frivolity of internet memes with the practicality of energy utilization in a delightful display of statistical harmony.
In conclusion, our findings not only illuminate the quirky interplay between an internet meme and energy consumption in a specific geographic context but also beckon us to ponder the enigmatic connections that lurk beneath the surface of seemingly disparate phenomena. This study stands as a lighthearted yet thought-provoking examination of the unexpected marriage between internet culture and energy dynamics, emphasizing that even the most unconventional pairings can yield invaluable insights into the peculiarities of our interconnected world.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The robust correlation coefficient of 0.8907558 found in our study echoes the prior work of Smith et al. (2017), who emphasized the potential influence of memes on societal trends. This finding supports the idea that internet phenomena, despite their whimsical nature, can indeed reverberate through the fabric of society and even ripple into the world of energy consumption. Much like a butterfly flapping its wings, the 'is this a butterfly' meme seems to have sent ripples through the tranquil pond of LPG usage in Chad, creating a chaotically beautiful dance of statistical significance.

Our results align with Doe's (2018) investigation into LPG usage, affirming the substantial role of this energy source in household and industrial domains. The study's r-squared value of 0.7934459 further solidifies the robustness of the correlation, indicating that a substantial proportion of the variability in LPG consumption in Chad can be ascribed to the fluctuations in the meme's popularity. This statistical nugget, while seemingly trivial, holds the weight of nearly 80% of the variability in LPG usage, serving as a testament to the seemingly inexplicable dance of internet culture and energy dynamics.

The p-value of < 0.01 banishes all doubt regarding the legitimacy of the observed relationship, reinforcing the notion that this connection is not merely a statistical fluke but a genuine glimpse into the whimsical interplay between online phenomena and practical energy usage. This p-value, much like a rare butterfly sighting, is a precious gem in the realm of statistical significance, underscoring the rarity and captivating nature of the relationship uncovered in our study.

The inclusion of our scatterplot, akin to a painter's canvas, crystallizes the enchanting marriage of the 'is this a butterfly' meme and LPG consumption in Chad, inviting the viewer to marvel at the intricate web of data points that reflect the harmonious dance of digital frivolity and tangible resource utilization. It truly captures the whimsical nature of this relationship, much like a snapshot of ethereal beauty frozen in time.

In this peculiar juxtaposition of internet culture and energy dynamics, our study stands as a lighthearted yet thought-provoking examination, akin to a whimsical sonnet that simultaneously delights and intrigues. Our findings underscore the astonishing and unforeseen connections that underlie seemingly unrelated phenomena, beckoning researchers to delve into the enigmatic undercurrents that govern our interconnected world. This investigation, while undeniably mischievous, offers a playful yet poignant reminder that in the realm of statistical inquiry, even the most peculiar pairings can yield invaluable insights into the idiosyncrasies of our interconnected world.

Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.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 'is this a butterfly' meme and Liquefied petroleum gas used in Chad. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Mischievous Memes: Mapping the Marvelous Marriage of the 'Is This a Butterfly' Meme and Liquefied Petroleum Gas in Chad

[[ABSTRACT]]
This study investigates the fascinating correlation between the viral sensation of the 'is this a butterfly' meme and the consumption of Liquefied Petroleum Gas (LPG) in Chad. By utilizing data from Google Trends and Energy Information Administration, we sought to unravel this peculiar connection. Our analysis reveals a robust correlation coefficient of 0.8907558 and p < 0.01 for the period spanning 2006 to 2021. The findings not only provide an insightful glimpse into the whimsical world of internet culture but also shed light on the unexpected interplay between online phenomena and energy usage in a specific geographic context. This paper offers a lighthearted yet thought-provoking exploration of the intricate relationship between viral memes and energy consumption, demonstrating that even the most unconventional connections can yield valuable insights.

[[INTRDUCTION]]
INTRODUCTION
The modern era has ushered in a new and peculiar intersection of digital culture and socioeconomic phenomena, giving rise to an assortment of captivating correlations that tickle the fancy of researchers across multiple disciplines. This study delves into the enchanting entanglement between the notorious 'is this a butterfly' meme and the consumption of Liquefied Petroleum Gas (LPG) in the charming country of Chad. While one might initially dismiss such a correlation as mere happenstance, our analysis uncovers a bond so robust that even the most staunch skeptics would find it difficult to deny.
The landscape of internet culture is teeming with memes of all shapes and sizes, but few have captured the whimsy of the collective consciousness quite like the 'is this a butterfly' meme. As this viral sensation fluttered its way across the digital realm, it sparked a frenzy of engagement, captivating the hearts and minds of netizens around the globe. Meanwhile, in the realm of energy consumption, LPG stands as a stalwart companion in the daily lives of countless individuals, its utility and versatility making it a ubiquitous presence in households and industries alike.
The magical marriage of these two seemingly disparate entities forms the crux of our investigation. With gleeful enthusiasm, we set out to harness the power of statistics and data analysis to unravel this fantastical connection, prodding at the underbelly of this peculiar pairing to reveal the underpinnings of its enigmatic dance. Our quest for understanding led us to enlist the aid of Google Trends and the Energy Information Administration, as we sought to encapsulate the essence of this fascinating linkage within the confines of empirical evidence.
In the following sections, we will embark on a whimsical journey through the labyrinth of data and analysis, pausing now and then to peer through the looking glass of correlation coefficients and p-values. Through our lighthearted yet thought-provoking exploration, we aim to not only shine a light on the unexpected synergy between internet memes and energy usage in a specific geographic setting but also to spark a chuckle or two among our esteemed colleagues. For as we shall demonstrate, even the most unconventional connections have the potential to yield valuable insights, and in the world of research, expect the unexpected!

[[RESULTS]]
The results of our analysis revealed an intriguing and somewhat peculiar correlation between the popularity of the 'is this a butterfly' meme and the usage of Liquefied Petroleum Gas (LPG) in Chad. The correlation coefficient of 0.8907558 indicates a remarkably strong positive relationship between these two seemingly unrelated variables. It seems that as the 'is this a butterfly' meme gained traction in the digital sphere, the consumption of LPG in Chad experienced a simultaneous surge, painting a whimsical picture of interconnectedness in the tapestry of internet culture and energy dynamics.
Furthermore, the r-squared value of 0.7934459 suggests that approximately 79.3% of the variability in LPG usage in Chad can be explained by the fluctuations in the popularity of the 'is this a butterfly' meme. It's quite remarkable to contemplate that almost 80% of the changes in LPG consumption can be attributed to the ebb and flow of this mischievous meme across the virtual landscape.
The p-value of < 0.01 provides compelling evidence to reject the null hypothesis, underscoring the statistical significance of the observed relationship. In other words, the probability of observing such a strong correlation by chance alone is infinitesimally small, reinforcing the notion that there is indeed a legitimate connection between the 'is this a butterfly' meme and LPG usage in Chad.
The inclusion of Fig. 1, a scatterplot illustrating the robust correlation between the popularity of the 'is this a butterfly' meme and LPG consumption in Chad, serves as a visual testament to the captivating dance of data points that we encountered during our analysis. The graph elegantly captures the whimsical nature of this relationship, intertwining the digital frivolity of internet memes with the practicality of energy utilization in a delightful display of statistical harmony.
In conclusion, our findings not only illuminate the quirky interplay between an internet meme and energy consumption in a specific geographic context but also beckon us to ponder the enigmatic connections that lurk beneath the surface of seemingly disparate phenomena. This study stands as a lighthearted yet thought-provoking examination of the unexpected marriage between internet culture and energy dynamics, emphasizing that even the most unconventional pairings can yield invaluable insights into the peculiarities of our interconnected world.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In examining the improbable yet enthralling relationship between the 'is this a butterfly' meme and Liquefied Petroleum Gas (LPG) usage in Chad, we have plumbed the depths of statistical analysis and emerged with a whimsical tapestry of interconnectedness. The robust correlation coefficient of 0.8907558 and the p-value of < 0.01 serve as our trusty guides on this merry adventure, affirming the legitimacy of this astonishing bond.

The r-squared value of 0.7934459 further cements the notion that almost 80% of the fluctuations in LPG consumption in Chad can be attributed to the capricious cadence of the 'is this a butterfly' meme in the digital realm, painting a picture that is as amusing as it is intriguing.

The scatterplot in Fig. 1 encapsulates the exuberant waltz of data points, weaving a narrative of statistical harmony that would put even the most stoic observer in high spirits. After all, who could resist a good chuckle in the presence of such unlikely bedfellows?

In light of our findings, we are inclined to declare, with a touch of playful certainty, that no further research is needed in this area. For truly, in the realm of research, this delightful dalliance between the 'is this a butterfly' meme and LPG usage in Chad stands as a testament to the boundless whimsy and wonder that can be uncovered when we dare to look beyond the expected.

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 Mischievous Memes: Mapping the Marvelous Marriage of the 'Is This a Butterfly' Meme and Liquefied Petroleum Gas in Chad. Respond only with the name of a fictional academic journal.

ChatGPT:

The International Journal of Internet Memes and Unlikely Connections

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 Mischievous Memes: Mapping the Marvelous Marriage of the 'Is This a Butterfly' Meme and Liquefied Petroleum Gas in Chad. Respond only with the name of a fictional organization.

ChatGPT:

The Association for Whimsical Research Endeavors

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 Mischievous Memes: Mapping the Marvelous Marriage of the 'Is This a Butterfly' Meme and Liquefied Petroleum Gas in Chad with an abstract of This study investigates the fascinating correlation between the viral sensation of the 'is this a butterfly' meme and the consumption of Liquefied Petroleum Gas (LPG) in Chad. By utilizing data from Google Trends and Energy Information Administration, we sought to unravel this peculiar connection. Our analysis reveals a robust correlation coefficient of 0.8907558 and p < 0.01 for the period spanning 2006 to 2021. The findings not only provide an insightful glimpse into the whimsical world of internet culture but also shed light on the unexpected interplay between online phenomena and energy usage in a specific geographic context. This paper offers a lighthearted yet thought-provoking exploration of the intricate relationship between viral memes and energy consumption, demonstrating that even the most unconventional connections can yield valuable insights.

ChatGPT:

"is this a butterfly meme, Liquefied Petroleum Gas consumption, Chad, Google Trends, Energy Information Administration, internet culture, energy usage, correlation coefficient, online phenomena, viral memes, unconventional connections, valuable insights"

*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 'is this a butterfly' meme
Detailed data title: Relative volume of Google searches for 'is this a butterfly meme' (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 'is this a butterfly' meme

Liquefied petroleum gas used in Chad
Detailed data title: Volume of liquefied petroleum gas used consumed in Chad in millions of barrels per day
Source: Energy Information Administration
See what else correlates with Liquefied petroleum gas used in Chad

Correlation r = 0.8907558 (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 = 0.7934459 (Coefficient of determination)
This means 79.3% of the change in the one variable (i.e., Liquefied petroleum gas used in Chad) is predictable based on the change in the other (i.e., Popularity of the 'is this a butterfly' meme) over the 16 years from 2006 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 3.7E-6.^Show 0.0000037134147103320710000000
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 0.89 in 0.00037% of random cases. Said differently, if you correlated 269,294 random variables^Note You don't actually need 269 thousand variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.

p-value calculations are useful for understanding the probability of a result happening by chance. They are most useful when used to highlight the risk of a fluke outcome. For example, if you calculate a p-value of 0.30, the risk that the result is a fluke is high. It is good to know that! But there are lots of ways to get a p-value of less than 0.01, as evidenced by this project.

In this particular case, the values are so extreme as to be meaningless. That's why no one reports p-values with specificity after they drop below 0.01.

Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 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.

[ 0.71, 0.96 ] 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 'is this a butterfly' meme (Relative popularity)	2.81818	2.44444	1.9	3.5	0.875	1.71429	2.08333	1	0.9	1.55556	1.75	0.857143	26	13.1667	12.25	9.25
Liquefied petroleum gas used in Chad (Million Barrels/Day)	0.0317808	0.0317808	0.031694	0.0317808	0.0317808	0.0317808	0.0317808	0.0317808	0.0317808	0.0317808	0.0317808	0.158904	1.33479	1.43014	1.10915	1.10915

Why this works

Data dredging: I have 25,237 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 636,906,169 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
Lack of causal connection: There is probably^Note Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple^Note Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is.

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([2.81818,2.44444,1.9,3.5,0.875,1.71429,2.08333,1,0.9,1.55556,1.75,0.857143,26,13.1667,12.25,9.25,])
array_2 = np.array([0.0317808,0.0317808,0.031694,0.0317808,0.0317808,0.0317808,0.0317808,0.0317808,0.0317808,0.0317808,0.0317808,0.158904,1.33479,1.43014,1.10915,1.10915,])
array_1_name = "Popularity of the 'is this a butterfly' meme"
array_2_name = "Liquefied petroleum gas used in Chad"

# 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 'is this a butterfly' meme
Line chart for only Liquefied petroleum gas used in Chad
AI-generated correlation image
The spurious research paper: Mischievous Memes: Mapping the Marvelous Marriage of the 'Is This a Butterfly' Meme and Liquefied Petroleum Gas in Chad

View another random correlation

How fun was this correlation?

Your correlation inspection deserves a standing ovation!

Correlation ID: 5461 · Black Variable ID: 25140 · Red Variable ID: 24290


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