Spurious correlation #4,512 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is How trendy OverSimplified YouTube video titles are and the second variable is Kerosene used in South Sudan. The chart goes from 2016 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 How trendy OverSimplified YouTube video titles are and the second variable is Kerosene used in South Sudan. The chart goes from 2016 to 2021, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As Kerosene usage in South Sudan increases, it leads to more people staying up late watching videos, causing OverSimplified YouTube video titles to become trendier in order to capture their attention. This in turn leads to a rise in Kerosene usage as people binge-watch videos to learn history in a way that’s, well, over simplified. It’s a fiery cycle of historical enlightenment and late-night entertainment!

^{Show image generation prompt} Model: dalle-3
Prompt: "Generate an image in the style of a TIME magazine cover depicting a scene in a dimly lit South Sudanese home, where the glow of a kerosene lamp illuminates the faces of people gathered around to watch videos on their smartphones. Their eyes widen at the bold, trendy titles of OverSimplified history videos, as they binge-watch in the late hours of the night. Capture the flickering flame of the kerosene lamp reflecting in their mesmerized eyes, as they delve into the captivating world of history." The depiction should include only scenes, people, and objects, it should not include text or speech bubbles.

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

Model: gpt-3.5-turbo-1106
System prompt: You select one of a few potential scene descriptors that seems to go along with the variables described. You respond only with the scene descriptions provided and say nothing else.
User prompt: Here are two variables: How trendy OverSimplified YouTube video titles are and Kerosene used in South Sudan. Given these, which of the following image style descriptions seems most appropriate? Pick the one that seems to be related to one of the variables at hand. Please respond with only one of the following potential descriptions: Realistic A TIME magazine cover image High-tech Steampunk 3D Pixar Style
ChatGPT: A TIME magazine cover image

Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both How trendy OverSimplified YouTube video titles are and Kerosene used in South Sudan, in the following situation: As Kerosene usage in South Sudan increases, it leads to more people staying up late watching videos, causing OverSimplified YouTube video titles to become trendier in order to capture their attention. This in turn leads to a rise in Kerosene usage as people binge-watch videos to learn history in a way that’s, well, over simplified. It’s a fiery cycle of historical enlightenment and late-night entertainment!. Keep the description simple.
ChatGPT: In the dimly lit room of a South Sudanese home, the glow of a kerosene lamp illuminates the faces of people gathered around to watch videos on their smartphones. Their eyes widen at the bold, trendy titles of OverSimplified history videos, enticed to learn more about the past in a simplified manner. The flickering flame of the kerosene lamp reflects in their mesmerized eyes as they binge-watch, delving into the captivating world of history in the late hours of the night.

Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ A TIME magazine cover image ] and depicting this scene: In the dimly lit room of a South Sudanese home, the glow of a kerosene lamp illuminates the faces of people gathered around to watch videos on their smartphones. Their eyes widen at the bold, trendy titles of OverSimplified history videos, enticed to learn more about the past in a simplified manner. The flickering flame of the kerosene lamp reflects in their mesmerized eyes as they binge-watch, delving into the captivating world of history in the late hours of the night. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: "Generate an image in the style of a TIME magazine cover depicting a scene in a dimly lit South Sudanese home, where the glow of a kerosene lamp illuminates the faces of people gathered around to watch videos on their smartphones. Their eyes widen at the bold, trendy titles of OverSimplified history videos, as they binge-watch in the late hours of the night. Capture the flickering flame of the kerosene lamp reflecting in their mesmerized eyes, as they delve into the captivating world of history."

*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 How trendy OverSimplified YouTube video titles are positively influenced Kerosene used in South Sudan.

AI academic paper

(Because p < 0.01)

Kerosene: Igniting Trends in OverSimplified YouTube Video Titles

The Journal of Modern Media Trends

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 How trendy OverSimplified YouTube video titles are and Kerosene used in South Sudan. 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 cartoons and childrens' shows that you watched that are related to the topic.

Here is the title and abstract of the paper:
[[TITLE]]
Kerosene: Igniting Trends in OverSimplified YouTube Video Titles

[[ABSTRACT]]
In this study, we delve into the unexpected relationship between the trendiness of OverSimplified YouTube video titles and the use of kerosene in South Sudan. While seemingly unrelated, our research team, armed with a love for peculiar correlations, used AI analysis of YouTube video titles and data from the Energy Information Administration to uncover a surprisingly strong link. We found a correlation coefficient of 0.9750815 and p < 0.01 for the period between 2016 and 2021. Our findings not only shed light on the whimsical interconnectedness of seemingly disparate phenomena but also illuminate the humor embedded in the world of academic research.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The world of academic research is often characterized by the pursuit of obscure connections and the unravelling of perplexing mysteries. In this vein, our study aims to explore the peculiar relationship between the trendiness of OverSimplified YouTube video titles and the utilization of kerosene in South Sudan. While this seemingly incongruous pairing may elicit raised eyebrows or bemused smiles, we assure the reader that our investigation is firmly rooted in rigorous analysis and scholarly inquiry. After all, who wouldn't be eager to examine the unexpected intersection of digital content trends and energy consumption in a far-flung corner of the world?
Our fascination with uncovering unanticipated correlations led us to employ advanced AI analysis of YouTube video titles to gauge their level of trendsiness. Meanwhile, we tapped into data from the Energy Information Administration to track the usage of kerosene in South Sudan. Through meticulous examination and a healthy dose of curiosity, we stumbled upon a correlation coefficient of 0.9750815 and a statistically significant p-value of less than 0.01 for the period spanning 2016 to 2021. These findings not only underscore the interconnectedness of seemingly unrelated phenomena but also inject a dash of levity into the often solemn realm of scholarly research.
Now, on the surface, one might question the utility of such an investigation. However, we argue that unraveling the enigmatic relationship between YouTube clickbait and kerosene consumption not only provides a glimpse into the whimsical nature of cause-and-effect dynamics but also serves as a reminder of the multifaceted and occasionally absurd tapestry of the world we inhabit. As we venture into the heart of this improbable nexus, we encourage the reader to approach our findings with a generous dose of scholarly skepticism, a sprinkle of humor, and perhaps, a readiness for the unexpected. After all, who would have thought that a lighthearted exploration of YouTube trends could lead us to the fiery world of kerosene in South Sudan? The academic journey promises to be as illuminating as it is unexpectedly entertaining.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

In "The Trendy World of YouTube Video Titles," Smith et al. delve into the captivating realm of digital content trends, analyzing the various linguistic and rhetorical strategies employed to capture the attention of online audiences. Meanwhile, Doe's "Fueling the Flame: A Comprehensive Study of Kerosene Usage in Developing Nations" offers a detailed exploration of kerosene consumption patterns, shedding light on the socio-economic factors that underpin its prevalence in regions such as South Sudan.

As we venture further into the literature, Jones' work "Connections Unearthed: Unlikely Correlations in Modern Society," piques our interest with its exploration of seemingly unrelated phenomena and the hidden threads that tie them together. The authors' findings not only resonate with our own research pursuit but also serve as a poignant reminder of the serendipitous connections that abound in our complex world.

Venturing into non-fiction literature, "Energy in the Developing World" by David A. McDonald and "Digital Content Strategies" by Amanda Smith offer insightful perspectives on the energy landscape in developing nations and the ever-evolving landscape of digital content creation. On a more whimsical note, the fictional works "The Spark of Serendipity" by Mira Fortune and "The Flames of Fate" by Leo Matchstick, while not directly related to our subject matter, certainly inspire curiosity and a sense of unexpected connection, much akin to our own research.

Drawing from the realms of popular culture, it is worth noting that childhood favorites such as "Captain Planet and the Planeteers" and "The Magic School Bus" have long instilled in us a fascination with environmental issues and the interconnectedness of global phenomena. After all, who could forget the animated adventures that illustrated the importance of environmentally conscious decision-making, igniting a passion for planetary stewardship in young minds?

Now that we have perused the scholarly and not-so-scholarly works that orbit our investigation, it becomes evident that our pursuit of the peculiar link between YouTube trends and kerosene usage in South Sudan is not only grounded in academic curiosity but also rooted in a spirit of whimsy and wonder. With this eclectic backdrop in mind, we are primed to dive into the heart of our findings with an open mind, a touch of mirth, and perhaps, a YouTube-worthy clickbaity title or two.

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 How trendy OverSimplified YouTube video titles are and Kerosene used in South Sudan. 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 AI analysis of YouTube video titles and Energy Information Administration . You used data from 2016 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]]
Kerosene: Igniting Trends in OverSimplified YouTube Video Titles

[[ABSTRACT]]
In this study, we delve into the unexpected relationship between the trendiness of OverSimplified YouTube video titles and the use of kerosene in South Sudan. While seemingly unrelated, our research team, armed with a love for peculiar correlations, used AI analysis of YouTube video titles and data from the Energy Information Administration to uncover a surprisingly strong link. We found a correlation coefficient of 0.9750815 and p < 0.01 for the period between 2016 and 2021. Our findings not only shed light on the whimsical interconnectedness of seemingly disparate phenomena but also illuminate the humor embedded in the world of academic research.

[[INTRODUCTION]]
The world of academic research is often characterized by the pursuit of obscure connections and the unravelling of perplexing mysteries. In this vein, our study aims to explore the peculiar relationship between the trendiness of OverSimplified YouTube video titles and the utilization of kerosene in South Sudan. While this seemingly incongruous pairing may elicit raised eyebrows or bemused smiles, we assure the reader that our investigation is firmly rooted in rigorous analysis and scholarly inquiry. After all, who wouldn't be eager to examine the unexpected intersection of digital content trends and energy consumption in a far-flung corner of the world?
Our fascination with uncovering unanticipated correlations led us to employ advanced AI analysis of YouTube video titles to gauge their level of trendsiness. Meanwhile, we tapped into data from the Energy Information Administration to track the usage of kerosene in South Sudan. Through meticulous examination and a healthy dose of curiosity, we stumbled upon a correlation coefficient of 0.9750815 and a statistically significant p-value of less than 0.01 for the period spanning 2016 to 2021. These findings not only underscore the interconnectedness of seemingly unrelated phenomena but also inject a dash of levity into the often solemn realm of scholarly research.
Now, on the surface, one might question the utility of such an investigation. However, we argue that unraveling the enigmatic relationship between YouTube clickbait and kerosene consumption not only provides a glimpse into the whimsical nature of cause-and-effect dynamics but also serves as a reminder of the multifaceted and occasionally absurd tapestry of the world we inhabit. As we venture into the heart of this improbable nexus, we encourage the reader to approach our findings with a generous dose of scholarly skepticism, a sprinkle of humor, and perhaps, a readiness for the unexpected. After all, who would have thought that a lighthearted exploration of YouTube trends could lead us to the fiery world of kerosene in South Sudan? The academic journey promises to be as illuminating as it is unexpectedly entertaining.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

To illuminate the quirky connection between the trendiness of OverSimplified YouTube video titles and the utilization of kerosene in South Sudan, our research team embarked on a methodological journey that blended advanced AI analysis with traditional energy consumption metrics. Our approach, much like a daring adventurer traversing uncharted territory, encompassed a multitude of steps, each designed to unveil the unexpected interplay of digital content trends and real-world energy dynamics.

Firstly, our intrepid team ventured into the labyrinthine expanse of YouTube, where clickbait titles reign supreme. With the aid of cutting-edge AI algorithms, we meticulously assessed the trendiness of OverSimplified video titles, utilizing a bespoke classification system devised to discern the allure of unabashed sensationalism. This entailed parsing through a staggering volume of titles, from "History of the Entire World, I Guess" to "What If Africa Was Just One Country?"

Simultaneously, we cast our net further afield, delving into the hallowed halls of energy statistics. Drawing upon the authoritative data provided by the Energy Information Administration, we meticulously scrutinized the utilization of kerosene in South Sudan, accounting for factors such as household consumption, industrial applications, and the occasional improvised lantern at a moonlit gathering.

The convergence of these disparate data streams formed the bedrock of our analysis, as we sought not only to discern patterns but also to wallow in the absurdity of juxtaposing the click of a mouse with the flicker of a kerosene lamp.

Applying statistical techniques that would make a numbers wizard proud, we set out to quantify the correlation between these ostensibly unrelated phenomena. Through rigorous computations and a good measure of whimsical spirit, we unearthed a correlation coefficient of 0.9750815, a figure that left us as astonished as a magician who had pulled a rabbit from a hat, and a p-value of less than 0.01, signifying a level of statistical significance that would make even the most discerning statistician nod in approval.

During this process, it became evident that our methodology, while unconventional, embraced the spirit of curiosity and the pursuit of unconventional linkages. As we gazed upon our findings, we were reminded of the old adage that "truth can be stranger than fiction," and in this case, much funnier and infinitely more unexpected.

In the end, our journey through the unpredictable terrain of YouTube trends and Kerosene consumption in South Sudan not only showcased the masking and unmasking of correlations but also opened our eyes to the wondrous caprice of the world we inhabit. It is in this spirit of scholarly whimsy that we present our methodology, daring the reader to join us in a dance of statistical significance and improbable connections. The pursuit of knowledge, after all, need not be bereft of mirth and surprise.

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

Please make up the results section of an academic research paper presenting the findings of the connection between How trendy OverSimplified YouTube video titles are and Kerosene used in South Sudan. 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 AI analysis of YouTube video titles and Energy Information Administration .

For the time period 2016 to 2021, you found a correlation 0.9750815, r-squared of 0.9507839, and p < 0.01.

One figure will be included. The figure (Fig. 1) is a scatterplot showing the strong correlation between the two variables. You don't need to specify where; I will add the figure.

Here is the title and abstract of the paper:
[[TITLE]]
Kerosene: Igniting Trends in OverSimplified YouTube Video Titles

[[ABSTRACT]]
In this study, we delve into the unexpected relationship between the trendiness of OverSimplified YouTube video titles and the use of kerosene in South Sudan. While seemingly unrelated, our research team, armed with a love for peculiar correlations, used AI analysis of YouTube video titles and data from the Energy Information Administration to uncover a surprisingly strong link. We found a correlation coefficient of 0.9750815 and p < 0.01 for the period between 2016 and 2021. Our findings not only shed light on the whimsical interconnectedness of seemingly disparate phenomena but also illuminate the humor embedded in the world of academic research.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The world of academic research is often characterized by the pursuit of obscure connections and the unravelling of perplexing mysteries. In this vein, our study aims to explore the peculiar relationship between the trendiness of OverSimplified YouTube video titles and the utilization of kerosene in South Sudan. While this seemingly incongruous pairing may elicit raised eyebrows or bemused smiles, we assure the reader that our investigation is firmly rooted in rigorous analysis and scholarly inquiry. After all, who wouldn't be eager to examine the unexpected intersection of digital content trends and energy consumption in a far-flung corner of the world?
Our fascination with uncovering unanticipated correlations led us to employ advanced AI analysis of YouTube video titles to gauge their level of trendsiness. Meanwhile, we tapped into data from the Energy Information Administration to track the usage of kerosene in South Sudan. Through meticulous examination and a healthy dose of curiosity, we stumbled upon a correlation coefficient of 0.9750815 and a statistically significant p-value of less than 0.01 for the period spanning 2016 to 2021. These findings not only underscore the interconnectedness of seemingly unrelated phenomena but also inject a dash of levity into the often solemn realm of scholarly research.
Now, on the surface, one might question the utility of such an investigation. However, we argue that unraveling the enigmatic relationship between YouTube clickbait and kerosene consumption not only provides a glimpse into the whimsical nature of cause-and-effect dynamics but also serves as a reminder of the multifaceted and occasionally absurd tapestry of the world we inhabit. As we venture into the heart of this improbable nexus, we encourage the reader to approach our findings with a generous dose of scholarly skepticism, a sprinkle of humor, and perhaps, a readiness for the unexpected. After all, who would have thought that a lighthearted exploration of YouTube trends could lead us to the fiery world of kerosene in South Sudan? The academic journey promises to be as illuminating as it is unexpectedly entertaining.

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

The analysis of the data collected from AI analysis of YouTube video titles and the Energy Information Administration yielded a correlation coefficient (r) of 0.9750815, indicating a remarkably strong relationship between the trendiness of OverSimplified YouTube video titles and the usage of kerosene in South Sudan. The r-squared value of 0.9507839 further underscored the robustness of this connection, indicating that approximately 95.08% of the variability in kerosene usage can be explained by the trendiness of the video titles. With a p-value of less than 0.01, these results are statistically significant, providing compelling evidence for the unexpected correlation unearthed by our research team.

The data is so closely linked, it's as if the YouTube titles and kerosene usage are two peas in a pod, or two videos in a well-optimized playlist! Our scatterplot, presented in Fig. 1, visually encapsulates this strong relationship, leaving little room for doubt that the correlation is no mere coincidence. The figure is as clear as day, much like the unmistakable allure of an enticing YouTube thumbnail.

These findings not only highlight the intriguing nexus between seemingly disparate phenomena, but also serve as a reminder that scholarly inquiry can unravel the most unexpected connections. As we dissect the improbable yet concrete link between digital trends and energy consumption, we invite the reader to appreciate the levity that can be found in the pursuit of knowledge – for who would have thought that the world of YouTube titles and kerosene usage would intersect in such a compelling manner? Our findings not only enrich the academic discourse but also add a dash of amusement to the sometimes austere world of research.

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 How trendy OverSimplified YouTube video titles are and Kerosene used in South Sudan. 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]]
Kerosene: Igniting Trends in OverSimplified YouTube Video Titles

[[ABSTRACT]]
In this study, we delve into the unexpected relationship between the trendiness of OverSimplified YouTube video titles and the use of kerosene in South Sudan. While seemingly unrelated, our research team, armed with a love for peculiar correlations, used AI analysis of YouTube video titles and data from the Energy Information Administration to uncover a surprisingly strong link. We found a correlation coefficient of 0.9750815 and p < 0.01 for the period between 2016 and 2021. Our findings not only shed light on the whimsical interconnectedness of seemingly disparate phenomena but also illuminate the humor embedded in the world of academic research.

[[LITERATURE REVIEW]]
In "The Trendy World of YouTube Video Titles," Smith et al. delve into the captivating realm of digital content trends, analyzing the various linguistic and rhetorical strategies employed to capture the attention of online audiences. Meanwhile, Doe's "Fueling the Flame: A Comprehensive Study of Kerosene Usage in Developing Nations" offers a detailed exploration of kerosene consumption patterns, shedding light on the socio-economic factors that underpin its prevalence in regions such as South Sudan.
As we venture further into the literature, Jones' work "Connections Unearthed: Unlikely Correlations in Modern Society," piques our interest with its exploration of seemingly unrelated phenomena and the hidden threads that tie them together. The authors' findings not only resonate with our own research pursuit but also serve as a poignant reminder of the serendipitous connections that abound in our complex world.
Venturing into non-fiction literature, "Energy in the Developing World" by David A. McDonald and "Digital Content Strategies" by Amanda Smith offer insightful perspectives on the energy landscape in developing nations and the ever-evolving landscape of digital content creation. On a more whimsical note, the fictional works "The Spark of Serendipity" by Mira Fortune and "The Flames of Fate" by Leo Matchstick, while not directly related to our subject matter, certainly inspire curiosity and a sense of unexpected connection, much akin to our own research.
Drawing from the realms of popular culture, it is worth noting that childhood favorites such as "Captain Planet and the Planeteers" and "The Magic School Bus" have long instilled in us a fascination with environmental issues and the interconnectedness of global phenomena. After all, who could forget the animated adventures that illustrated the importance of environmentally conscious decision-making, igniting a passion for planetary stewardship in young minds?
Now that we have perused the scholarly and not-so-scholarly works that orbit our investigation, it becomes evident that our pursuit of the peculiar link between YouTube trends and kerosene usage in South Sudan is not only grounded in academic curiosity but also rooted in a spirit of whimsy and wonder. With this eclectic backdrop in mind, we are primed to dive into the heart of our findings with an open mind, a touch of mirth, and perhaps, a YouTube-worthy clickbaity title or two.

[[RESULTS]]
The analysis of the data collected from AI analysis of YouTube video titles and the Energy Information Administration yielded a correlation coefficient (r) of 0.9750815, indicating a remarkably strong relationship between the trendiness of OverSimplified YouTube video titles and the usage of kerosene in South Sudan. The r-squared value of 0.9507839 further underscored the robustness of this connection, indicating that approximately 95.08% of the variability in kerosene usage can be explained by the trendiness of the video titles. With a p-value of less than 0.01, these results are statistically significant, providing compelling evidence for the unexpected correlation unearthed by our research team.
The data is so closely linked, it's as if the YouTube titles and kerosene usage are two peas in a pod, or two videos in a well-optimized playlist! Our scatterplot, presented in Fig. 1, visually encapsulates this strong relationship, leaving little room for doubt that the correlation is no mere coincidence. The figure is as clear as day, much like the unmistakable allure of an enticing YouTube thumbnail.
These findings not only highlight the intriguing nexus between seemingly disparate phenomena, but also serve as a reminder that scholarly inquiry can unravel the most unexpected connections. As we dissect the improbable yet concrete link between digital trends and energy consumption, we invite the reader to appreciate the levity that can be found in the pursuit of knowledge – for who would have thought that the world of YouTube titles and kerosene usage would intersect in such a compelling manner? Our findings not only enrich the academic discourse but also add a dash of amusement to the sometimes austere world of research.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

Our results, much like a well-crafted YouTube thumbnail, have proven to be quite captivating. The remarkably strong correlation between the trendiness of OverSimplified YouTube video titles and the usage of kerosene in South Sudan reinforces the idea that unexpected connections can be found in the most unlikely of places. Let's delve into the implications of our findings, while also keeping a keen eye out for any potential puns that may have slipped through the cracks.

To begin, our research builds upon the scholarly works we encountered in our literature review, particularly those by Smith, Doe, and Jones. The connection between linguistic and rhetorical strategies in digital content creation and the socio-economic factors underpinning kerosene consumption in developing nations has been underscored by our results. This unexpected correlation further validates the notion put forth by Jones, who eloquently delved into the enigmatic ties that bind seemingly unrelated phenomena. Therefore, while the connection between YouTube titles and kerosene usage may seem as unexpected as finding a cooking channel on a car repair forum, our research has elucidated a tangible link, much to the surprise of many.

Moreover, our findings not only enrich the academic discourse surrounding digital content trends and energy consumption but also inject a light-hearted element into the often serious realm of research. It's as if our results have sparked a sense of amusement, akin to stumbling upon a humorous meme in the midst of a weighty scholarly tome. The whimsical nature of this unexpected correlation serves as a reminder that academic inquiry can be both thought-provoking and entertaining, much like a TED talk sprinkled with dad jokes.

Upon reflecting on our journey through the world of YouTube titles and kerosene usage, it is clear that our research has uncovered a hidden harmony amidst these contrasting domains. It is reminiscent of the harmony between oil and water, unexpected yet undeniably present. As we conclude this discussion, we encourage future researchers to approach their inquiries with a sense of spontaneous curiosity, for who knows what other delightful surprises may await, ready to ignite the spark of intellectual amusement.

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 How trendy OverSimplified YouTube video titles are and Kerosene used in South Sudan. 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]]
Kerosene: Igniting Trends in OverSimplified YouTube Video Titles

[[ABSTRACT]]
In this study, we delve into the unexpected relationship between the trendiness of OverSimplified YouTube video titles and the use of kerosene in South Sudan. While seemingly unrelated, our research team, armed with a love for peculiar correlations, used AI analysis of YouTube video titles and data from the Energy Information Administration to uncover a surprisingly strong link. We found a correlation coefficient of 0.9750815 and p < 0.01 for the period between 2016 and 2021. Our findings not only shed light on the whimsical interconnectedness of seemingly disparate phenomena but also illuminate the humor embedded in the world of academic research.

[[INTRDUCTION]]
The world of academic research is often characterized by the pursuit of obscure connections and the unravelling of perplexing mysteries. In this vein, our study aims to explore the peculiar relationship between the trendiness of OverSimplified YouTube video titles and the utilization of kerosene in South Sudan. While this seemingly incongruous pairing may elicit raised eyebrows or bemused smiles, we assure the reader that our investigation is firmly rooted in rigorous analysis and scholarly inquiry. After all, who wouldn't be eager to examine the unexpected intersection of digital content trends and energy consumption in a far-flung corner of the world?
Our fascination with uncovering unanticipated correlations led us to employ advanced AI analysis of YouTube video titles to gauge their level of trendsiness. Meanwhile, we tapped into data from the Energy Information Administration to track the usage of kerosene in South Sudan. Through meticulous examination and a healthy dose of curiosity, we stumbled upon a correlation coefficient of 0.9750815 and a statistically significant p-value of less than 0.01 for the period spanning 2016 to 2021. These findings not only underscore the interconnectedness of seemingly unrelated phenomena but also inject a dash of levity into the often solemn realm of scholarly research.
Now, on the surface, one might question the utility of such an investigation. However, we argue that unraveling the enigmatic relationship between YouTube clickbait and kerosene consumption not only provides a glimpse into the whimsical nature of cause-and-effect dynamics but also serves as a reminder of the multifaceted and occasionally absurd tapestry of the world we inhabit. As we venture into the heart of this improbable nexus, we encourage the reader to approach our findings with a generous dose of scholarly skepticism, a sprinkle of humor, and perhaps, a readiness for the unexpected. After all, who would have thought that a lighthearted exploration of YouTube trends could lead us to the fiery world of kerosene in South Sudan? The academic journey promises to be as illuminating as it is unexpectedly entertaining.

[[RESULTS]]
The analysis of the data collected from AI analysis of YouTube video titles and the Energy Information Administration yielded a correlation coefficient (r) of 0.9750815, indicating a remarkably strong relationship between the trendiness of OverSimplified YouTube video titles and the usage of kerosene in South Sudan. The r-squared value of 0.9507839 further underscored the robustness of this connection, indicating that approximately 95.08% of the variability in kerosene usage can be explained by the trendiness of the video titles. With a p-value of less than 0.01, these results are statistically significant, providing compelling evidence for the unexpected correlation unearthed by our research team.
The data is so closely linked, it's as if the YouTube titles and kerosene usage are two peas in a pod, or two videos in a well-optimized playlist! Our scatterplot, presented in Fig. 1, visually encapsulates this strong relationship, leaving little room for doubt that the correlation is no mere coincidence. The figure is as clear as day, much like the unmistakable allure of an enticing YouTube thumbnail.
These findings not only highlight the intriguing nexus between seemingly disparate phenomena, but also serve as a reminder that scholarly inquiry can unravel the most unexpected connections. As we dissect the improbable yet concrete link between digital trends and energy consumption, we invite the reader to appreciate the levity that can be found in the pursuit of knowledge – for who would have thought that the world of YouTube titles and kerosene usage would intersect in such a compelling manner? Our findings not only enrich the academic discourse but also add a dash of amusement to the sometimes austere world of research.

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Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our research has illuminated the delightfully bizarre correlation between the trendiness of OverSimplified YouTube video titles and the utilization of kerosene in South Sudan. As we sifted through the data, we couldn't help but marvel at the unexpected dance of statistical significance between two seemingly unrelated entities. It's like stumbling upon a romantic comedy in the thriller section of a movie store – perplexing yet undeniably entertaining.

While some may raise their eyebrows at the seemingly frivolous nature of our investigation, we maintain that unraveling such curiosities is precisely what makes academic inquiry both rigorous and, dare we say, amusing. After all, who wouldn't enjoy a little statistical adventure that leads from catchy video titles to the combustion of kerosene? It's a journey that showcases the enigmatic nature of cause-and-effect dynamics and reminds us to embrace the unexpected with open arms and perhaps a handful of data points.

With a correlation coefficient of 0.9750815 and a p-value that gleefully dances below 0.01, our findings stand as a testament to the whimsical interconnectedness of the world we inhabit. The statistical legacy of YouTube clickbait and kerosene usage is not just statistically significant; it's practically a dynamic duo, like peanut butter and jelly or cats and internet memes.

In light of these findings, we assert that further research in this area is as unnecessary as a fourth sequel to a unimpressive movie franchise. With that said, we urge our esteemed colleagues to approach their scholarly pursuits with a gleam in their eye and a readiness to uncover the unexpected. Remember, the world of academic research is not just about unraveling complex mysteries; it's also about finding joy in the quirks and chuckles that come with it.

In the immortal words of Youtubers everywhere, "Like and subscribe to the world of peculiar correlations; there's never a dull moment!"

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 Kerosene: Igniting Trends in OverSimplified YouTube Video Titles. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Modern Media Trends

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 Kerosene: Igniting Trends in OverSimplified YouTube Video Titles. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Comical Studies and 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 Kerosene: Igniting Trends in OverSimplified YouTube Video Titles with an abstract of In this study, we delve into the unexpected relationship between the trendiness of OverSimplified YouTube video titles and the use of kerosene in South Sudan. While seemingly unrelated, our research team, armed with a love for peculiar correlations, used AI analysis of YouTube video titles and data from the Energy Information Administration to uncover a surprisingly strong link. We found a correlation coefficient of 0.9750815 and p < 0.01 for the period between 2016 and 2021. Our findings not only shed light on the whimsical interconnectedness of seemingly disparate phenomena but also illuminate the humor embedded in the world of academic research.

ChatGPT:

Kerosene use, YouTube video titles, South Sudan, trendiness, AI analysis, Energy Information Administration, correlation coefficient, academic research

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Data details

How trendy OverSimplified YouTube video titles are
Detailed data title: How trendy OverSimplified YouTube video titles are, as rated by an AI.
Source: AI analysis of YouTube video titles
Additional Info: ^{See full details} I asked a large language model, 'On a scale of 1-10, how _______ do you think this YouTube video title is?' for every video.

See what else correlates with How trendy OverSimplified YouTube video titles are

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

Correlation r = 0.9750815 (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 = 0.9507839 (Coefficient of determination)
This means 95.1% of the change in the one variable (i.e., Kerosene used in South Sudan) is predictable based on the change in the other (i.e., How trendy OverSimplified YouTube video titles are) over the 6 years from 2016 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.00092.^Show 0.0009236611450302024000000000
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 0.092% of random cases. Said differently, if you correlated 1,083 random variables^Note Which I absolutely did.
with the same 5 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 5 because we have two variables measured over a period of 6 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.

[ 0.78, 1 ] 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.

	2016	2017	2018	2019	2020	2021
How trendy OverSimplified YouTube video titles are (Trendiness score)	8	5.5	7.6667	8.3333	8	8
Kerosene used in South Sudan (Million Barrels/Day)	0.0434521	0.021726	0.0434521	0.0434521	0.0415356	0.0438271

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.
Very low n: There are not many data points included in this analysis. Even if the p-value is high, we should be suspicious of using so few datapoints in a correlation.

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([8,5.5,7.6667,8.3333,8,8,])
array_2 = np.array([0.0434521,0.021726,0.0434521,0.0434521,0.0415356,0.0438271,])
array_1_name = "How trendy OverSimplified YouTube video titles are"
array_2_name = "Kerosene used in South Sudan"

# 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.

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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
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Line chart for only How trendy OverSimplified YouTube video titles are
Line chart for only Kerosene used in South Sudan
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The spurious research paper: Kerosene: Igniting Trends in OverSimplified YouTube Video Titles

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Correlation ID: 4512 · Black Variable ID: 25634 · Red Variable ID: 24933


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