Spurious correlation #5,133 · 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 'floss dance' meme and the second variable is Jet fuel used in Kazakhstan. 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 'floss dance' meme and the second variable is Jet fuel used in Kazakhstan. 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 'floss dance' meme gained popularity, more people started flossing, leading to an increase in dental hygiene. This, in turn, created a higher demand for minty fresh toothpaste, causing a spike in peppermint production. The rise in peppermint production led to an oversupply in the fragrance market, prompting the creation of 'Minty Jet Fuel' - the freshest way to fly the skies, exclusively in Kazakhstan. Turns out, it's not just the dance moves that are fueling Kazakhstan's skies, it's the power of fresh breath taking off to new heights!

^{Show image generation prompt} Create a meme inspired by the floss dance meme that in some way references Jet fuel used in Kazakhstan. 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 increases in Popularity of the 'floss dance' meme positively influenced Jet fuel used in Kazakhstan. Include one good pun.

AI academic paper

(Because p < 0.01)

Floss Dance Flair: Is Jet Fuel in Kazakhstan Linked to Online Trending?

The International Journal of Kazakhstani Jet Fuel Analysis

Jan 2024

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

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

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a literature review section of an academic research paper presenting the findings of the connection between Popularity of the 'floss dance' meme and Jet fuel used in Kazakhstan. 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 some movies that you watched that are tangentially related to the topic.

Here is the title and abstract of the paper:
[[TITLE]]
Floss Dance Flair: Is Jet Fuel in Kazakhstan Linked to Online Trending?

[[ABSTRACT]]
This study delves into the unexpected and whimsical relationship between the popularity of the 'floss dance' meme and the consumption of jet fuel in the land of Kazakhstan. While seemingly disparate, our data analysis reveals a surprising correlation between these two phenomena. Through intricate statistical analysis, utilizing Google Trends and Energy Information Administration data from 2006 to 2021, we calculated a correlation coefficient of 0.8503185 with p < 0.01, indicating a robust and statistically significant association.

Our research presents a unique fusion of pop culture and energy consumption, uncovering a link between the whimsical dance craze and the fuel powering the skies. Whether it's the floss dance fueling the demand for jet fuel or the soaring consumption of jet fuel inspiring extravagant dance moves, this peculiar correlation opens a gateway to a world of quirky connections. As we unravel this unlikely relationship, we invite readers to join us on a journey through the unexpected and absurd, where the world of memes and the realm of energy intertwine in a comical dance of data analysis.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
Introduction
The world of academic research often leads us to uncover unexpected connections and correlations that defy conventional wisdom. In this paper, we embark on a whimsical journey into the realm of popular culture and energy consumption, as we explore the curious link between the 'floss dance' meme and the consumption of jet fuel in the vast expanse of Kazakhstan.
While the floss dance may have initially danced its way into the internet's consciousness, little did we know that its viral popularity would propel us into a data analysis quest as peculiar as the dance moves themselves. Similarly, the consumption of jet fuel in Kazakhstan, a nation known for its boundless steppes and surreal landscapes, seems an unlikely companion to a viral internet sensation.
Yet, as we delved into the extensive databases of Google Trends and the Energy Information Administration, our findings unfurled a correlation so robust that it left us dancing with excitement (metaphorically, of course).
Our exploration into this unconventional pairing has not only led us to unravel a statistically significant relationship but has also uncovered a landscape where the goofy and the serious intersect. As we set out to navigate this uncharted terrain, we invite our esteemed readers to join us in unpacking this peculiar partnership of the floss dance and jet fuel consumption, where levity meets empiricism in a dizzying whirl of data analysis.
So, buckle up and prepare for a scholarly journey that offers both intellectual insights and whimsical musings, as we unravel the unexpected connection between dance floor flair and the fuel that powers the skies.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

The ongoing exploration of the correlation between the consumption of jet fuel in Kazakhstan and the online trending of the 'floss dance' meme has led to a myriad of scholarly inquiries. Smith et al. (2020) examined the cultural impact of internet memes on societal norms, while Doe (2018) investigated the economic implications of Kazakhstan's energy consumption patterns. Furthermore, Jones (2019) delved into the social media trends that influence global pop culture phenomena. These studies highlight the multidisciplinary nature of the floss dance and jet fuel nexus, weaving a complex tapestry of cultural, economic, and social factors.

Turning to related literature, "The Energy Politics of Kazakhstan" by Petrov (2015) provides a comprehensive overview of Kazakhstan's energy landscape, offering insights into the country's fuel consumption patterns. Additionally, "Dancing Through Digital Culture" by Techno (2017) offers a panoramic view of internet memes and their impact on contemporary digital culture, igniting a discourse on the intersection of pop culture and societal trends.

In the world of fiction, "The Flossing Firefighter" by Novelman (2018) presents a whimsical tale of a firefighter in Kazakhstan who discovers the power of the floss dance in combating fires. On a more serious note, "Fueling the Floss" by EnergyElla (2019) delves into the clandestine world of jet fuel consumption and its unlikely connection to dance crazes.

Moreover, cinematic depictions such as "Jet Fuel Follies" and "Dance Dance Combustion" have tantalized audiences with their portrayal of high-energy dance sequences and the fuel that propels them. These cultural products add a layer of nuance to our understanding of the intersection between popular dance movements and fuel consumption dynamics.

As we traverse this peculiar junction of internet memes and energy consumption, we are reminded that the scholarly pursuit of knowledge is not without its whimsical detours. The dance between empirical analysis and eccentric correlations beckons us into a world where statistical significance meets the rhythm of the absurd, inviting us to ponder the delightful and the improbable in equal measure. Thus, our academic endeavor finds itself not only shedding light on the unexpected relationship between the floss dance and jet fuel in Kazakhstan but also reveling in the playful serendipity of scholarly exploration.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.You draft the methodology section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the methodology section of an academic research paper presenting the findings of the connection between Popularity of the 'floss dance' meme and Jet fuel used in Kazakhstan. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from Google Trends and Energy Information Administration . You used data from 2006 to 2021

Make up the research methods you don't know. Make them a bit goofy and convoluted.

Here is the title, abstract, and introduction of the paper:
[[TITLE]]
Floss Dance Flair: Is Jet Fuel in Kazakhstan Linked to Online Trending?

[[ABSTRACT]]
This study delves into the unexpected and whimsical relationship between the popularity of the 'floss dance' meme and the consumption of jet fuel in the land of Kazakhstan. While seemingly disparate, our data analysis reveals a surprising correlation between these two phenomena. Through intricate statistical analysis, utilizing Google Trends and Energy Information Administration data from 2006 to 2021, we calculated a correlation coefficient of 0.8503185 with p < 0.01, indicating a robust and statistically significant association.

Our research presents a unique fusion of pop culture and energy consumption, uncovering a link between the whimsical dance craze and the fuel powering the skies. Whether it's the floss dance fueling the demand for jet fuel or the soaring consumption of jet fuel inspiring extravagant dance moves, this peculiar correlation opens a gateway to a world of quirky connections. As we unravel this unlikely relationship, we invite readers to join us on a journey through the unexpected and absurd, where the world of memes and the realm of energy intertwine in a comical dance of data analysis.

[[INTRODUCTION]]
Introduction
The world of academic research often leads us to uncover unexpected connections and correlations that defy conventional wisdom. In this paper, we embark on a whimsical journey into the realm of popular culture and energy consumption, as we explore the curious link between the 'floss dance' meme and the consumption of jet fuel in the vast expanse of Kazakhstan.
While the floss dance may have initially danced its way into the internet's consciousness, little did we know that its viral popularity would propel us into a data analysis quest as peculiar as the dance moves themselves. Similarly, the consumption of jet fuel in Kazakhstan, a nation known for its boundless steppes and surreal landscapes, seems an unlikely companion to a viral internet sensation.
Yet, as we delved into the extensive databases of Google Trends and the Energy Information Administration, our findings unfurled a correlation so robust that it left us dancing with excitement (metaphorically, of course).
Our exploration into this unconventional pairing has not only led us to unravel a statistically significant relationship but has also uncovered a landscape where the goofy and the serious intersect. As we set out to navigate this uncharted terrain, we invite our esteemed readers to join us in unpacking this peculiar partnership of the floss dance and jet fuel consumption, where levity meets empiricism in a dizzying whirl of data analysis.
So, buckle up and prepare for a scholarly journey that offers both intellectual insights and whimsical musings, as we unravel the unexpected connection between dance floor flair and the fuel that powers the skies.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

To uncover the elusive link between the 'floss dance' meme and jet fuel consumption in Kazakhstan, we implemented a rigorous and methodologically eclectic approach, as befitting a study of such whimsical nature. Our data collection and analysis processes blended the meticulous rigor of classical statistical methods with the unorthodox creativity required to navigate the intricacies of popular internet culture.

First, we scoured the expansive recesses of the internet, combing through an archive spanning from 2006 to 2021 to capture the zeitgeist of the 'floss dance' phenomenon. Our primary data source was Google Trends, a veritable treasure trove of search volume indices, where the ebbs and flows of cultural memes reveal themselves in patterns of digital footprints. We quantified the popularity of the floss dance meme by tracking search interest over time, ensuring our analysis encapsulated the full spectrum of its viral sway.

Simultaneously, our quest for the enigmatic association between this infectious dance and the consumption of jet fuel led us to the Energy Information Administration's comprehensive databases. Here, we navigated through the labyrinthine corridors of energy statistics, donning both our metaphorical detective hats and our virtual jetpacks to uncover the fuel consumption patterns in Kazakhstan, a nation known for its sweeping landscapes and the enigmatic allure of the Central Asian terrain.

With these diverse datasets in hand, we employed a blend of time series analysis, correlation matrices, and econometric modeling, amalgamating the structured framework of traditional statistical techniques with an unconventional twist to capture the whimsical essence of our inquiry. Our goal was to not only unveil the statistical significance of the correlation but also to convey the surreal nature of our findings through an approach that mirrored the very absurdity of the phenomenon under scrutiny.

Given the offbeat nature of our research question, we recognized the need to adapt and innovate at every step of our methodological journey. This entailed crafting customized algorithms to account for the currency of internet memes and leveraging advanced statistical software to harness the idiosyncrasies of the data. We waded through an ocean of numbers and dance moves, navigating the murky currents of internet culture and energy consumption with equal parts precision and playfulness.

As we embarked on this peculiar exploration, we endeavored to maintain a balance between scholarly rigor and lighthearted curiosity, recognizing that the fusion of the quirky and the empirical would be pivotal in capturing the essence of our findings. In doing so, we strived to encapsulate the essence of the 'floss dance' meme – an embodiment of jubilant absurdity – within the confines of scholarly investigation, achieving a scholarly symbiosis that mirrors the unexpected nature of our findings.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the discussion section of an academic research paper presenting the findings of the connection between Popularity of the 'floss dance' meme and Jet fuel used in Kazakhstan. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Limit your response to 500 tokens.

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

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

[[TITLE]]
Floss Dance Flair: Is Jet Fuel in Kazakhstan Linked to Online Trending?

[[ABSTRACT]]
This study delves into the unexpected and whimsical relationship between the popularity of the 'floss dance' meme and the consumption of jet fuel in the land of Kazakhstan. While seemingly disparate, our data analysis reveals a surprising correlation between these two phenomena. Through intricate statistical analysis, utilizing Google Trends and Energy Information Administration data from 2006 to 2021, we calculated a correlation coefficient of 0.8503185 with p < 0.01, indicating a robust and statistically significant association.

Our research presents a unique fusion of pop culture and energy consumption, uncovering a link between the whimsical dance craze and the fuel powering the skies. Whether it's the floss dance fueling the demand for jet fuel or the soaring consumption of jet fuel inspiring extravagant dance moves, this peculiar correlation opens a gateway to a world of quirky connections. As we unravel this unlikely relationship, we invite readers to join us on a journey through the unexpected and absurd, where the world of memes and the realm of energy intertwine in a comical dance of data analysis.

[[LITERATURE REVIEW]]
The ongoing exploration of the correlation between the consumption of jet fuel in Kazakhstan and the online trending of the 'floss dance' meme has led to a myriad of scholarly inquiries. Smith et al. (2020) examined the cultural impact of internet memes on societal norms, while Doe (2018) investigated the economic implications of Kazakhstan's energy consumption patterns. Furthermore, Jones (2019) delved into the social media trends that influence global pop culture phenomena. These studies highlight the multidisciplinary nature of the floss dance and jet fuel nexus, weaving a complex tapestry of cultural, economic, and social factors.
Turning to related literature, "The Energy Politics of Kazakhstan" by Petrov (2015) provides a comprehensive overview of Kazakhstan's energy landscape, offering insights into the country's fuel consumption patterns. Additionally, "Dancing Through Digital Culture" by Techno (2017) offers a panoramic view of internet memes and their impact on contemporary digital culture, igniting a discourse on the intersection of pop culture and societal trends.
In the world of fiction, "The Flossing Firefighter" by Novelman (2018) presents a whimsical tale of a firefighter in Kazakhstan who discovers the power of the floss dance in combating fires. On a more serious note, "Fueling the Floss" by EnergyElla (2019) delves into the clandestine world of jet fuel consumption and its unlikely connection to dance crazes.
Moreover, cinematic depictions such as "Jet Fuel Follies" and "Dance Dance Combustion" have tantalized audiences with their portrayal of high-energy dance sequences and the fuel that propels them. These cultural products add a layer of nuance to our understanding of the intersection between popular dance movements and fuel consumption dynamics.
As we traverse this peculiar junction of internet memes and energy consumption, we are reminded that the scholarly pursuit of knowledge is not without its whimsical detours. The dance between empirical analysis and eccentric correlations beckons us into a world where statistical significance meets the rhythm of the absurd, inviting us to ponder the delightful and the improbable in equal measure. Thus, our academic endeavor finds itself not only shedding light on the unexpected relationship between the floss dance and jet fuel in Kazakhstan but also reveling in the playful serendipity of scholarly exploration.

[[RESULTS]]
The results of our data analysis unveiled a striking correlation between the popularity of the 'floss dance' on the internet and the consumption of jet fuel in Kazakhstan. From 2006 to 2021, we observed a hefty correlation coefficient of 0.8503185, denoting a strong positive relationship between these seemingly unrelated variables. This correlation was further supported by an r-squared value of 0.7230415, indicating that approximately 72.3% of the variation in jet fuel consumption could be explained by the fluctuations in the 'floss dance' meme's popularity.
The significant p-value of less than 0.01 lent further credence to our findings, highlighting the robustness and reliability of the observed correlation. In simple terms, the likelihood of such a strong association occurring by random chance is as rare as finding a four-leaf clover in a field of jet fuel barrels.
Furthermore, the scatterplot presented in Fig. 1 vividly illustrates the pointed relationship between the frequency of 'floss dance' searches and the consumption of jet fuel in Kazakhstan. While we can't claim that the dance directly powers the planes or that jet fuel inspires impromptu floss dances, the data undeniably showcases a synchronous rhythm between these two seemingly unrelated domains.
This unexpected correlation opens the floodgates to a realm of whimsical musings, prompting us to ponder whether the 'floss dance' exuberance propels individuals to take more flights, or if the soaring demand for jet fuel ignites a collective desire to express exuberant dance moves. Either way, it's clear that the intertwining of online trends and energy consumption may be more than just a statistical quirk; it might well be a comical dance of causality waiting to be unraveled.
The findings of this study not only shed light on the unorthodox connections that lurk within the labyrinth of data but also serve as a reminder that the world of research is a waltz between the serious and the absurd, where scholarly rigor meets comical happenstance. As we invite our readers to join us in this delightful dance of discovery, we urge them to approach this correlation with both skepticism and a twinkle in their eyes, for the world of data has a knack for surprising us with whimsical revelations.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

Our findings resonate with the existing body of research on the whimsical intersection of pop culture phenomena and energy consumption patterns. The correlation we unearthed between the popularity of the 'floss dance' meme and the consumption of jet fuel in Kazakhstan bolsters the scholarly discourse surrounding the delightful and improbable relationships that pervade our societal landscape.

Building upon the scholarly inquiries of Smith et al. and Doe, who explored the cultural and economic dimensions of memes and energy consumption, our study provides empirical evidence to substantiate the notion that internet memes might wield a far-reaching influence on real-world energy dynamics. Furthermore, our results echo the panoramic insights of Techno (2017), shedding light on the inexplicable pull of online trends in shaping societal behaviors, even in the realm of fuel consumption.

In a rather unexpected twist, our study also harkens back to the fictional narrative elaborated in "The Flossing Firefighter" by Novelman, where the protagonist discovers the unconventional power of dance in managing fires. While our study is rooted in empirical analysis rather than fiction, the uncanny parallel between the firefighter's dance exploits and our observed correlation adds an element of serendipity to our scholarly pursuit.

Likewise, the cinematic depictions of high-energy dance sequences and the fuel propelling them, as showcased in "Jet Fuel Follies" and "Dance Dance Combustion," find an actual counterpart in the synchronous rhythm we uncovered between the 'floss dance' meme's popularity and jet fuel consumption in Kazakhstan. This correlation not only underscores the unorthodox connections that weave through the tapestry of human behavior but also invites us to appreciate the whimsical symphony of statistical analysis and comical happenstance.

In conclusion, our study not only validates prior scholarly investigations into the interplay of online trends and energy dynamics but also humorously dances into uncharted territories of correlation and causality. As we pirouette on the fine line between empirical rigor and comical revelations, our research reveals that sometimes, the most unexpected sequences of events can indeed waltz together in statistical harmony. Thus, the scholarly pursuit of knowledge is not devoid of the delightful and the absurd – it's a symphony of serious inquiry and whimsical discovery.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.You draft the 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 'floss dance' meme and Jet fuel used in Kazakhstan. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Floss Dance Flair: Is Jet Fuel in Kazakhstan Linked to Online Trending?

[[ABSTRACT]]
This study delves into the unexpected and whimsical relationship between the popularity of the 'floss dance' meme and the consumption of jet fuel in the land of Kazakhstan. While seemingly disparate, our data analysis reveals a surprising correlation between these two phenomena. Through intricate statistical analysis, utilizing Google Trends and Energy Information Administration data from 2006 to 2021, we calculated a correlation coefficient of 0.8503185 with p < 0.01, indicating a robust and statistically significant association.

Our research presents a unique fusion of pop culture and energy consumption, uncovering a link between the whimsical dance craze and the fuel powering the skies. Whether it's the floss dance fueling the demand for jet fuel or the soaring consumption of jet fuel inspiring extravagant dance moves, this peculiar correlation opens a gateway to a world of quirky connections. As we unravel this unlikely relationship, we invite readers to join us on a journey through the unexpected and absurd, where the world of memes and the realm of energy intertwine in a comical dance of data analysis.

[[INTRDUCTION]]
Introduction
The world of academic research often leads us to uncover unexpected connections and correlations that defy conventional wisdom. In this paper, we embark on a whimsical journey into the realm of popular culture and energy consumption, as we explore the curious link between the 'floss dance' meme and the consumption of jet fuel in the vast expanse of Kazakhstan.
While the floss dance may have initially danced its way into the internet's consciousness, little did we know that its viral popularity would propel us into a data analysis quest as peculiar as the dance moves themselves. Similarly, the consumption of jet fuel in Kazakhstan, a nation known for its boundless steppes and surreal landscapes, seems an unlikely companion to a viral internet sensation.
Yet, as we delved into the extensive databases of Google Trends and the Energy Information Administration, our findings unfurled a correlation so robust that it left us dancing with excitement (metaphorically, of course).
Our exploration into this unconventional pairing has not only led us to unravel a statistically significant relationship but has also uncovered a landscape where the goofy and the serious intersect. As we set out to navigate this uncharted terrain, we invite our esteemed readers to join us in unpacking this peculiar partnership of the floss dance and jet fuel consumption, where levity meets empiricism in a dizzying whirl of data analysis.
So, buckle up and prepare for a scholarly journey that offers both intellectual insights and whimsical musings, as we unravel the unexpected connection between dance floor flair and the fuel that powers the skies.

[[RESULTS]]
The results of our data analysis unveiled a striking correlation between the popularity of the 'floss dance' on the internet and the consumption of jet fuel in Kazakhstan. From 2006 to 2021, we observed a hefty correlation coefficient of 0.8503185, denoting a strong positive relationship between these seemingly unrelated variables. This correlation was further supported by an r-squared value of 0.7230415, indicating that approximately 72.3% of the variation in jet fuel consumption could be explained by the fluctuations in the 'floss dance' meme's popularity.
The significant p-value of less than 0.01 lent further credence to our findings, highlighting the robustness and reliability of the observed correlation. In simple terms, the likelihood of such a strong association occurring by random chance is as rare as finding a four-leaf clover in a field of jet fuel barrels.
Furthermore, the scatterplot presented in Fig. 1 vividly illustrates the pointed relationship between the frequency of 'floss dance' searches and the consumption of jet fuel in Kazakhstan. While we can't claim that the dance directly powers the planes or that jet fuel inspires impromptu floss dances, the data undeniably showcases a synchronous rhythm between these two seemingly unrelated domains.
This unexpected correlation opens the floodgates to a realm of whimsical musings, prompting us to ponder whether the 'floss dance' exuberance propels individuals to take more flights, or if the soaring demand for jet fuel ignites a collective desire to express exuberant dance moves. Either way, it's clear that the intertwining of online trends and energy consumption may be more than just a statistical quirk; it might well be a comical dance of causality waiting to be unraveled.
The findings of this study not only shed light on the unorthodox connections that lurk within the labyrinth of data but also serve as a reminder that the world of research is a waltz between the serious and the absurd, where scholarly rigor meets comical happenstance. As we invite our readers to join us in this delightful dance of discovery, we urge them to approach this correlation with both skepticism and a twinkle in their eyes, for the world of data has a knack for surprising us with whimsical revelations.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our research has thrust us into a whirlwind of unexpected findings, revealing a mesmerizing correlation between the 'floss dance' meme and jet fuel consumption in Kazakhstan. As we wade through the sea of data, it becomes apparent that the line between the serious and the whimsical often blurs, leaving us with a statistical tango that defies expectations.

The robust correlation coefficient and the minuscule p-value have made a more compelling case for this unlikely association than a heartfelt plea from a romantic comedy lead. The scatterplot, while not as visually appealing as a dance floor adorned with disco lights, vividly showcases the synchronous rhythm between these unrelated variables, leaving us to wonder if the 'floss dance' craze ignites a desire for skyward journeys or if the soaring demand for jet fuel fuels spirited dance moves. It's a conundrum as perplexing as trying to floss with a cape on.

As we bid adieu to this perplexing partnership of memes and fuel, we do so with a sense of awe and amusement at the comically unexpected ties that data can unveil. Our findings beckon us to consider whether this correlation is indeed a whimsical dance of causality waiting to be unraveled or simply a statistical anomaly with a flair for the dramatic.

In retrospect, this study serves as a reminder that the world of research is not simply a serious pursuit of knowledge but a delightful waltz between the bizarre and the empirical. However, as we nod to the beat of this remarkably perplexing correlation, we assert with unwavering confidence that no further research is needed in this peculiar domain. The floss dance and jet fuel have twirled into the spotlight, and there's no need for an encore – the show must go on elsewhere!

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 Floss Dance Flair: Is Jet Fuel in Kazakhstan Linked to Online Trending?. Respond only with the name of a fictional academic journal.

ChatGPT:

The International Journal of Kazakhstani Jet Fuel Analysis

Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of nonprofit research organizations and associations. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding nonprofit, academic, or scientific association or organization that would sponsor research that resulted in a paper entited Floss Dance Flair: Is Jet Fuel in Kazakhstan Linked to Online Trending?. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Quirky Global Phenomena Research

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 Floss Dance Flair: Is Jet Fuel in Kazakhstan Linked to Online Trending? with an abstract of This study delves into the unexpected and whimsical relationship between the popularity of the 'floss dance' meme and the consumption of jet fuel in the land of Kazakhstan. While seemingly disparate, our data analysis reveals a surprising correlation between these two phenomena. Through intricate statistical analysis, utilizing Google Trends and Energy Information Administration data from 2006 to 2021, we calculated a correlation coefficient of 0.8503185 with p < 0.01, indicating a robust and statistically significant association.
Our research presents a unique fusion of pop culture and energy consumption, uncovering a link between the whimsical dance craze and the fuel powering the skies. Whether it's the floss dance fueling the demand for jet fuel or the soaring consumption of jet fuel inspiring extravagant dance moves, this peculiar correlation opens a gateway to a world of quirky connections. As we unravel this unlikely relationship, we invite readers to join us on a journey through the unexpected and absurd, where the world of memes and the realm of energy intertwine in a comical dance of data analysis.

ChatGPT:

floss dance, Kazakhstan, jet fuel, correlation, meme, Google Trends, Energy Information Administration, statistical analysis

*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 'floss dance' meme
Detailed data title: Relative volume of Google searches for 'floss dance' (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 'floss dance' meme

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

Correlation r = 0.8503185 (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 = 0.7230415 (Coefficient of determination)
This means 72.3% of the change in the one variable (i.e., Jet fuel used in Kazakhstan) is predictable based on the change in the other (i.e., Popularity of the 'floss dance' meme) over the 16 years from 2006 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 3.01E-5.^Show 0.0000300985970940886050000000
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 0.85 in 0.00301% of random cases. Said differently, if you correlated 33,224 random variables^Note You don't actually need 33 thousand variables to find a correlation like this one. 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.

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.

[ 0.61, 0.95 ] 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 'floss dance' meme (Relative popularity)	0.333333	0.555556	0.428571	0.666667	0	0.5	0	0	0	0	0.8	3.25	54.6667	16.8333	7.66667	3.66667
Jet fuel used in Kazakhstan (Million Barrels/Day)	5.88775	7.4303	7.41	5.86603	8.23416	7.03923	6.77852	4.73627	6.77852	7	8	11	16	13.6005	7.60411	7.60411

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([0.333333,0.555556,0.428571,0.666667,0,0.5,0,0,0,0,0.8,3.25,54.6667,16.8333,7.66667,3.66667,])
array_2 = np.array([5.88775,7.4303,7.41,5.86603,8.23416,7.03923,6.77852,4.73627,6.77852,7,8,11,16,13.6005,7.60411,7.60411,])
array_1_name = "Popularity of the 'floss dance' meme"
array_2_name = "Jet fuel used in Kazakhstan"

# 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 'floss dance' meme
Line chart for only Jet fuel used in Kazakhstan
AI-generated correlation image
The spurious research paper: Floss Dance Flair: Is Jet Fuel in Kazakhstan Linked to Online Trending?

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Correlation ID: 5133 · Black Variable ID: 25130 · Red Variable ID: 24586


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