Spurious correlation #4,846 · 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 United States. The chart goes from 2006 to 2022, 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 United States. The chart goes from 2006 to 2022, 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, the collective 'base' of internet users moved on to new obsessions, leading to a significant drop in the demand for kerosene lamps and heaters needed for meme-themed gatherings. This shift ultimately resulted in a nationwide decrease in kerosene consumption, much to the bewilderment of energy analysts who never realized the meme economy's unexpected influence on household fuel choices.

^{Show image generation prompt} Create a meme inspired by the all your base meme that in some way references Kerosene used in United States. 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 United States to decrease.

AI academic paper

(Because p < 0.01)

Fueling the Fire: Exploring the Flammable Link Between 'All Your Base' Meme Popularity and Kerosene Consumption in the United States

The Journal of Digital Meme Studies

Jan 2024

Reminder: This paper is AI-generated. Not real!

^{Show prompt used to generate this paper} Quick note: This sequence is long and repetitive. That's how the prompt engineering works for this one. I manage the output in Python to format it into this PDF.

Model: gpt-3.5-turbo-1106
System prompt: You are a 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 'all your base' meme and Kerosene used in United States. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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

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

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

Here is the title and abstract of the paper:
[[TITLE]]
Fueling the Fire: Exploring the Flammable Link Between 'All Your Base' Meme Popularity and Kerosene Consumption in the United States

[[ABSTRACT]]
This research paper delves into a peculiar yet compelling correlation between the surge in popularity of the infamous 'all your base' meme and kerosene consumption in the United States. Using data from Google Trends and the Energy Information Administration, we scrutinized the trends of 'all your base' meme searches and kerosene usage from 2006 to 2022. The findings revealed a remarkably high correlation coefficient of 0.9757817 with a significance level of p < 0.01, indicating a robust relationship between the two variables.

It's no coincidence that the rise of the 'all your base' meme ignited a fervor for kerosene consumption. Just like a good dad joke, this unexpected link indeed leaves us pondering the curious ways in which cultural phenomena can spark changes in seemingly unrelated domains.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The intersection of internet culture and energy consumption may seem like an unlikely pair, akin to combining a classic dad joke with contemporary humor, but recent research has begun to unveil unexpected connections between the two. The 'all your base' meme, a relic from the early 2000s internet, experienced a resurgence in popularity in recent years, coinciding with perplexingly elevated kerosene usage in the United States. This curious correlation has piqued the interest of researchers and pop culture enthusiasts alike, prompting an investigation into the potential relationship between the two seemingly disparate phenomena.
As the saying goes, "Where there's smoke, there's fire," and this study aims to shed light on the smoldering mystery surrounding the simultaneous rise of 'all your base' meme searches and kerosene consumption. Despite the initial amusement at the unlikely pairing, the statistical analysis of the data has uncovered a significant association that demands serious consideration.
The juxtaposition of a vintage internet meme with the ancient use of kerosene as a fuel source may sound like the setup to a punchline, but the empirical findings suggest a substantive link worthy of investigation. Just as a well-timed dad joke can catch one off guard, the discovery of this unexpected relationship has implications that extend beyond mere amusement.
With this in mind, the following sections will delve into the meticulous analysis of the data, exploring the surprising correlation between the 'all your base' meme and kerosene consumption in the United States. Through rigorous examination of the temporal patterns and statistical measures, this study endeavors to elucidate the underlying mechanisms at play, all the while maintaining a spirit of curiosity and inquiry, much like the essence of a captivating dad joke.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

Serious inquiry into the unexpected correlation between the popularity of the 'all your base' meme and kerosene consumption in the United States has spurred a multitude of studies seeking to unravel this unlikely relationship. Smith et al. (2015) conducted a comprehensive analysis of internet memes and their societal impact, laying the groundwork for the examination of cultural phenomena on consumer behavior. Doe and Jones (2018) further contributed to the literature by exploring energy consumption patterns in the digital age, offering a framework for understanding the intersection of online trends and real-world resources.

Amidst the scholarly investigations, it is imperative to consider the broader context in which this peculiar correlation unfolds. In "The Geography of Bliss" by Eric Weiner, the author explores the diverse cultural landscapes and the unexpected sources of joy, underscoring the intricate connections that shape human experiences. Similarly, "The Tipping Point" by Malcolm Gladwell delves into the enigmatic mechanisms underlying societal trends, shedding light on the contagious nature of ideas and behaviors, much like the resurgence of a classic internet meme.

Fictional narratives also offer intriguing perspectives that may resonate with the unanticipated alliance between a bygone internet trend and a traditional fuel source. In "Fahrenheit 451" by Ray Bradbury, the exploration of censorship and the power of information hints at the volatile nature of cultural phenomena and their influence on societal norms, not unlike the fiery resurgence of the 'all your base' meme. Furthermore, the board game "Flash Point: Fire Rescue" captures the urgency and unpredictability of firefighting, drawing parallels to the fervor surrounding the unexpected surge in kerosene usage.

The juxtaposition of serious scholarly inquiries with whimsical cultural reflections serves to illuminate the multidimensional nature of the perplexing correlation between the 'all your base' meme and kerosene consumption. As the investigation unfolds, it becomes increasingly evident that the interplay of cultural trends and resource utilization may harbor comedic surprises and unexpected connections, much like a well-timed dad joke that catches one off guard.

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 'all your base' meme and Kerosene used in United States. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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 2022

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]]
Fueling the Fire: Exploring the Flammable Link Between 'All Your Base' Meme Popularity and Kerosene Consumption in the United States

[[ABSTRACT]]
This research paper delves into a peculiar yet compelling correlation between the surge in popularity of the infamous 'all your base' meme and kerosene consumption in the United States. Using data from Google Trends and the Energy Information Administration, we scrutinized the trends of 'all your base' meme searches and kerosene usage from 2006 to 2022. The findings revealed a remarkably high correlation coefficient of 0.9757817 with a significance level of p < 0.01, indicating a robust relationship between the two variables.

It's no coincidence that the rise of the 'all your base' meme ignited a fervor for kerosene consumption. Just like a good dad joke, this unexpected link indeed leaves us pondering the curious ways in which cultural phenomena can spark changes in seemingly unrelated domains.

[[INTRODUCTION]]
The intersection of internet culture and energy consumption may seem like an unlikely pair, akin to combining a classic dad joke with contemporary humor, but recent research has begun to unveil unexpected connections between the two. The 'all your base' meme, a relic from the early 2000s internet, experienced a resurgence in popularity in recent years, coinciding with perplexingly elevated kerosene usage in the United States. This curious correlation has piqued the interest of researchers and pop culture enthusiasts alike, prompting an investigation into the potential relationship between the two seemingly disparate phenomena.
As the saying goes, "Where there's smoke, there's fire," and this study aims to shed light on the smoldering mystery surrounding the simultaneous rise of 'all your base' meme searches and kerosene consumption. Despite the initial amusement at the unlikely pairing, the statistical analysis of the data has uncovered a significant association that demands serious consideration.
The juxtaposition of a vintage internet meme with the ancient use of kerosene as a fuel source may sound like the setup to a punchline, but the empirical findings suggest a substantive link worthy of investigation. Just as a well-timed dad joke can catch one off guard, the discovery of this unexpected relationship has implications that extend beyond mere amusement.
With this in mind, the following sections will delve into the meticulous analysis of the data, exploring the surprising correlation between the 'all your base' meme and kerosene consumption in the United States. Through rigorous examination of the temporal patterns and statistical measures, this study endeavors to elucidate the underlying mechanisms at play, all the while maintaining a spirit of curiosity and inquiry, much like the essence of a captivating dad joke.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

To investigate the perplexing correlation between the popularity of the 'all your base' meme and kerosene usage in the United States, a rigorous methodology was employed. The data used in this study were primarily sourced from Google Trends, which provided insights into the search interest over time for the 'all your base' meme, and the Energy Information Administration, which offered comprehensive data on kerosene consumption from 2006 to 2022.

The first step in our methodology involved obtaining the search interest data for the 'all your base' meme from Google Trends, which measures the relative search volume for a specific term over time. This data was then cross-referenced with the historical timeline of notable events related to the meme, including its initial emergence in the early 2000s and subsequent resurgences in popularity.

After acquiring the 'all your base' meme search interest data, the next phase of the methodology focused on extracting and analyzing the kerosene consumption statistics from the Energy Information Administration. This involved meticulously reviewing the monthly and annual kerosene usage patterns, accounting for seasonal variations and any external factors that may have influenced consumption levels.

Given the unorthodox nature of the research question, a distinctive approach was adopted to explore the connection between the two seemingly disparate variables. Utilizing a hybrid of time series analysis and cultural impact assessment methodologies, the research team delved into the temporal alignment of 'all your base' meme popularity spikes and corresponding fluctuations in kerosene consumption.

Incorporating the principles of econometrics and digital cultural studies, the analysis extended beyond mere quantitative data to consider the qualitative facets of the 'all your base' meme's cultural impact and potential influence on consumer behavior. This interdisciplinary lens provided a comprehensive understanding of the underlying mechanisms driving the observed correlation.

Amidst the meticulous data analysis and methodological considerations, it is worth noting that the unexpected connection between the 'all your base' meme and kerosene consumption sparked more than just an academic curiosity—it also ignited a series of lighthearted exchanges within the research team, reminiscent of a well-crafted dad joke. As the investigation progressed, the team found themselves playfully pondering, "What do you get when you cross a vintage internet meme with a fuel source? A burning question worthy of exploration!"

Next, the paper will present the compelling findings derived from the meticulous methodology employed, shedding light on the enthralling association between the 'all your base' meme and kerosene consumption, all while maintaining a scholarly tone punctuated by occasional humor and wit, much like a cleverly crafted dad joke.

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 'all your base' meme and Kerosene used in United States. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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]]
Fueling the Fire: Exploring the Flammable Link Between 'All Your Base' Meme Popularity and Kerosene Consumption in the United States

[[ABSTRACT]]
This research paper delves into a peculiar yet compelling correlation between the surge in popularity of the infamous 'all your base' meme and kerosene consumption in the United States. Using data from Google Trends and the Energy Information Administration, we scrutinized the trends of 'all your base' meme searches and kerosene usage from 2006 to 2022. The findings revealed a remarkably high correlation coefficient of 0.9757817 with a significance level of p < 0.01, indicating a robust relationship between the two variables.

It's no coincidence that the rise of the 'all your base' meme ignited a fervor for kerosene consumption. Just like a good dad joke, this unexpected link indeed leaves us pondering the curious ways in which cultural phenomena can spark changes in seemingly unrelated domains.

[[LITERATURE REVIEW]]
Serious inquiry into the unexpected correlation between the popularity of the 'all your base' meme and kerosene consumption in the United States has spurred a multitude of studies seeking to unravel this unlikely relationship. Smith et al. (2015) conducted a comprehensive analysis of internet memes and their societal impact, laying the groundwork for the examination of cultural phenomena on consumer behavior. Doe and Jones (2018) further contributed to the literature by exploring energy consumption patterns in the digital age, offering a framework for understanding the intersection of online trends and real-world resources.
Amidst the scholarly investigations, it is imperative to consider the broader context in which this peculiar correlation unfolds. In "The Geography of Bliss" by Eric Weiner, the author explores the diverse cultural landscapes and the unexpected sources of joy, underscoring the intricate connections that shape human experiences. Similarly, "The Tipping Point" by Malcolm Gladwell delves into the enigmatic mechanisms underlying societal trends, shedding light on the contagious nature of ideas and behaviors, much like the resurgence of a classic internet meme.
Fictional narratives also offer intriguing perspectives that may resonate with the unanticipated alliance between a bygone internet trend and a traditional fuel source. In "Fahrenheit 451" by Ray Bradbury, the exploration of censorship and the power of information hints at the volatile nature of cultural phenomena and their influence on societal norms, not unlike the fiery resurgence of the 'all your base' meme. Furthermore, the board game "Flash Point: Fire Rescue" captures the urgency and unpredictability of firefighting, drawing parallels to the fervor surrounding the unexpected surge in kerosene usage.
The juxtaposition of serious scholarly inquiries with whimsical cultural reflections serves to illuminate the multidimensional nature of the perplexing correlation between the 'all your base' meme and kerosene consumption. As the investigation unfolds, it becomes increasingly evident that the interplay of cultural trends and resource utilization may harbor comedic surprises and unexpected connections, much like a well-timed dad joke that catches one off guard.

[[RESULTS]]
During the period from 2006 to 2022, our analysis of the data revealed a striking correlation coefficient of 0.9757817 between the popularity of the 'all your base' meme and kerosene consumption in the United States. This high correlation coefficient indicates a robust positive relationship between the two variables, prompting further investigation into the potential mechanisms underlying this unexpected association.
The r-squared value of 0.9521499 further underscores the strength of the relationship between the 'all your base' meme popularity and kerosene usage. This substantial r-squared value indicates that approximately 95% of the variability in kerosene consumption can be explained by the fluctuations in the popularity of the 'all your base' meme.
The significance level of p < 0.01 provides strong evidence against the null hypothesis, corroborating the presence of a statistically significant relationship between the surge in 'all your base' meme searches and the increase in kerosene usage in the United States. This finding underscores the substantive nature of the association, challenging preconceived notions about the boundaries of cultural influence on consumer behavior.
Against all odds, the 'all your base' meme and kerosene consumption have proven to be a dynamic duo, reminiscent of a classic dad joke – unexpectedly paired but undeniably captivating. This correlation raises thought-provoking questions about the intricacies of cultural impact and its reverberations across seemingly disparate domains.
The figure (Fig. 1) presents a visual representation of the strong correlation between the popularity of the 'all your base' meme and kerosene consumption, providing a compelling illustration of the relationship uncovered in this study.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The results of this investigation provide compelling support for the previously established notions regarding the unexpected affinity between the surge in 'all your base' meme popularity and the rise in kerosene consumption in the United States. The remarkably high correlation coefficient of 0.9757817 aligns with the findings of prior research, corroborating the robust relationship identified by Smith et al. (2015) and Doe and Jones (2018). This substantiation further underscores the significance of this unanticipated linkage, akin to a well-crafted dad joke that continues to elicit amusement despite familiarity.

As discussed by Smith et al. (2015), the unprecedented reach and impact of internet memes on societal behavior have laid the foundation for discerning the far-reaching implications of cultural phenomena. The present study's findings fortify the premise posited by Doe and Jones (2018) that digital trends hold the potential to shape real-world consumer activities, as evidenced by the substantial association between 'all your base' meme popularity and kerosene usage. Just as a timeless dad joke brings forth recurring chuckles, this correlation persists as an evolving enigma, prompting further exploration of its underpinning mechanisms.

In reflecting on the broader context illuminated by this investigation, it is apparent that the unconventional alliance between a vintage internet meme and traditional fuel source transcends the realms of empirical inquiry. The narratives presented in "The Geography of Bliss" by Eric Weiner and "The Tipping Point" by Malcolm Gladwell resonate deeply with the intricate connections underpinning this peculiar correlation. As with a well-delivered dad joke, the resonance of these cultural reflections reverberates with unexpected reverie, echoing the surprising potency of internet subculture on tangible societal trends.

Furthermore, the fictional narratives of "Fahrenheit 451" by Ray Bradbury and the board game "Flash Point: Fire Rescue" impart nuanced perspectives that intertwine with the current findings. These narratives immerse the reader/player in the volatile nature of cultural phenomena and the consequential impact on societal norms, akin to the fiery resurgence of the 'all your base' meme and its unforeseen influence on kerosene consumption. This integration of whimsical reflections with scholarly discourse speaks to the multifaceted nature of the examined correlation, much like the layered humor of a cleverly constructed dad joke.

In summary, the findings of this study not only validate the previously proposed implications of the 'all your base' meme popularity on kerosene consumption but also underscore the complexity and depth of this seemingly improbable association. The unexpected alliance between cultural trends and resource utilization warrants continued investigation, akin to the perennial appeal of a timeless dad joke that endures through the ages.

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 'all your base' meme and Kerosene used in United States. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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]]
Fueling the Fire: Exploring the Flammable Link Between 'All Your Base' Meme Popularity and Kerosene Consumption in the United States

[[ABSTRACT]]
This research paper delves into a peculiar yet compelling correlation between the surge in popularity of the infamous 'all your base' meme and kerosene consumption in the United States. Using data from Google Trends and the Energy Information Administration, we scrutinized the trends of 'all your base' meme searches and kerosene usage from 2006 to 2022. The findings revealed a remarkably high correlation coefficient of 0.9757817 with a significance level of p < 0.01, indicating a robust relationship between the two variables.

It's no coincidence that the rise of the 'all your base' meme ignited a fervor for kerosene consumption. Just like a good dad joke, this unexpected link indeed leaves us pondering the curious ways in which cultural phenomena can spark changes in seemingly unrelated domains.

[[INTRDUCTION]]
The intersection of internet culture and energy consumption may seem like an unlikely pair, akin to combining a classic dad joke with contemporary humor, but recent research has begun to unveil unexpected connections between the two. The 'all your base' meme, a relic from the early 2000s internet, experienced a resurgence in popularity in recent years, coinciding with perplexingly elevated kerosene usage in the United States. This curious correlation has piqued the interest of researchers and pop culture enthusiasts alike, prompting an investigation into the potential relationship between the two seemingly disparate phenomena.
As the saying goes, "Where there's smoke, there's fire," and this study aims to shed light on the smoldering mystery surrounding the simultaneous rise of 'all your base' meme searches and kerosene consumption. Despite the initial amusement at the unlikely pairing, the statistical analysis of the data has uncovered a significant association that demands serious consideration.
The juxtaposition of a vintage internet meme with the ancient use of kerosene as a fuel source may sound like the setup to a punchline, but the empirical findings suggest a substantive link worthy of investigation. Just as a well-timed dad joke can catch one off guard, the discovery of this unexpected relationship has implications that extend beyond mere amusement.
With this in mind, the following sections will delve into the meticulous analysis of the data, exploring the surprising correlation between the 'all your base' meme and kerosene consumption in the United States. Through rigorous examination of the temporal patterns and statistical measures, this study endeavors to elucidate the underlying mechanisms at play, all the while maintaining a spirit of curiosity and inquiry, much like the essence of a captivating dad joke.

[[RESULTS]]
During the period from 2006 to 2022, our analysis of the data revealed a striking correlation coefficient of 0.9757817 between the popularity of the 'all your base' meme and kerosene consumption in the United States. This high correlation coefficient indicates a robust positive relationship between the two variables, prompting further investigation into the potential mechanisms underlying this unexpected association.
The r-squared value of 0.9521499 further underscores the strength of the relationship between the 'all your base' meme popularity and kerosene usage. This substantial r-squared value indicates that approximately 95% of the variability in kerosene consumption can be explained by the fluctuations in the popularity of the 'all your base' meme.
The significance level of p < 0.01 provides strong evidence against the null hypothesis, corroborating the presence of a statistically significant relationship between the surge in 'all your base' meme searches and the increase in kerosene usage in the United States. This finding underscores the substantive nature of the association, challenging preconceived notions about the boundaries of cultural influence on consumer behavior.
Against all odds, the 'all your base' meme and kerosene consumption have proven to be a dynamic duo, reminiscent of a classic dad joke – unexpectedly paired but undeniably captivating. This correlation raises thought-provoking questions about the intricacies of cultural impact and its reverberations across seemingly disparate domains.
The figure (Fig. 1) presents a visual representation of the strong correlation between the popularity of the 'all your base' meme and kerosene consumption, providing a compelling illustration of the relationship uncovered in this study.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, the findings of this study undeniably highlight a compelling association between the surge in 'all your base' meme popularity and increased kerosene consumption in the United States. The remarkably high correlation coefficient and significant p-value attest to the robustness of this unexpected relationship. It appears that the 'all your base' meme has not only infiltrated the collective consciousness of the internet but has also left its mark on the nation's energy consumption patterns, much like a classic dad joke that becomes a household favorite.

Despite the initial skepticism surrounding the seemingly disparate elements of internet memes and kerosene usage, the empirical evidence leaves little room for doubt. The data, much like a well-crafted pun, delivers a punchline that commands attention and provokes contemplation. The substantial r-squared value signifies the extent to which the fluctuations in 'all your base' meme searches can explain the variability in kerosene consumption, akin to a joke that becomes the central point of a conversation.

Furthermore, the visual representation of the strong correlation in Fig. 1 serves as a powerful visual punchline, effectively capturing the essence of this unexpected association. The surge in 'all your base' meme searches seems to have ignited a metaphorical spark, propelling kerosene consumption to new heights, much like the moment when a dad joke elicits uncontrollable laughter.

With that said, it is evident that the relationship between the 'all your base' meme and kerosene consumption warrants further exploration and inquiry, akin to the timeless quest for the perfect dad joke. Nonetheless, it may be concluded that this study has shed light on an intriguing, albeit unexpected, connection that has hitherto eluded scientific scrutiny.

In light of these findings, it can be confidently asserted, much like the punchline of a well-timed dad joke, that no further research is needed to unearth the connection between the 'all your base' meme and kerosene consumption in the United States.

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 Fueling the Fire: Exploring the Flammable Link Between 'All Your Base' Meme Popularity and Kerosene Consumption in the United States. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Digital Meme Studies

Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of nonprofit research organizations and associations. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding nonprofit, academic, or scientific association or organization that would sponsor research that resulted in a paper entited Fueling the Fire: Exploring the Flammable Link Between 'All Your Base' Meme Popularity and Kerosene Consumption in the United States. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Memeology and Combustion Studies

Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled Fueling the Fire: Exploring the Flammable Link Between 'All Your Base' Meme Popularity and Kerosene Consumption in the United States with an abstract of This research paper delves into a peculiar yet compelling correlation between the surge in popularity of the infamous 'all your base' meme and kerosene consumption in the United States. Using data from Google Trends and the Energy Information Administration, we scrutinized the trends of 'all your base' meme searches and kerosene usage from 2006 to 2022. The findings revealed a remarkably high correlation coefficient of 0.9757817 with a significance level of p < 0.01, indicating a robust relationship between the two variables.
It's no coincidence that the rise of the 'all your base' meme ignited a fervor for kerosene consumption. Just like a good dad joke, this unexpected link indeed leaves us pondering the curious ways in which cultural phenomena can spark changes in seemingly unrelated domains.

ChatGPT:

'All Your Base' meme, meme popularity, kerosene consumption, United States, correlation, Google Trends, Energy Information Administration, cultural phenomena, societal impact

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

Correlation r = 0.9757817 (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 = 0.9521499 (Coefficient of determination)
This means 95.2% of the change in the one variable (i.e., Kerosene used in United States) is predictable based on the change in the other (i.e., Popularity of the 'all your base' meme) over the 17 years from 2006 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 2.6E-11.^Show 0.0000000000260109027857718670
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 2.6E-9% of random cases. Said differently, if you correlated 38,445,416,841 random variables^Note You don't actually need 38 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 16 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 16 because we have two variables measured over a period of 17 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	2022
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	9.33333
Kerosene used in United States (Million Barrels/Day)	53.6826	32.1391	14.2286	17.5474	19.9292	12.2408	5.27591	5.19713	8.99604	6.38585	8.67062	5.17747	5.41261	6.77142	7.49362	5.94343	5.25028

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.

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([76.1667,44.5,30.25,25.9167,21,18.5,12.0833,10.6667,10.0833,8.83333,6.91667,6.5,6.16667,6.33333,6.83333,6.66667,9.33333,])
array_2 = np.array([53.6826,32.1391,14.2286,17.5474,19.9292,12.2408,5.27591,5.19713,8.99604,6.38585,8.67062,5.17747,5.41261,6.77142,7.49362,5.94343,5.25028,])
array_1_name = "Popularity of the 'all your base' meme"
array_2_name = "Kerosene used in United States"

# 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 United States
AI-generated correlation image
The spurious research paper: Fueling the Fire: Exploring the Flammable Link Between 'All Your Base' Meme Popularity and Kerosene Consumption in the United States

View another random correlation

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Correlation ID: 4846 · Black Variable ID: 25161 · Red Variable ID: 25053


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