Spurious correlation #4,733 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is How professional-sounding MinuteEarth YouTube video titles are and the second variable is Gasoline pumped in Madagascar. The chart goes from 2013 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 professional-sounding MinuteEarth YouTube video titles are and the second variable is Gasoline pumped in Madagascar. The chart goes from 2013 to 2021, and the two variables track closely in value over that time.

Download png, svg

AI explanation

The correlation is due to the fact that as the gasoline in Madagascar becomes more refined, it fuels a surge in creativity at MinuteEarth. The quality of the video titles ignites, sparking a greater interest in professionalism. It's like they say, "Where there's a fuel, there's a MinuteEarth professional video title!"

^{Show image generation prompt} Model: dalle-3
Prompt: [A photo-realistic image] Set the scene in a bustling, modern-looking office at MinuteEarth headquarters in Madagascar. The team members are huddled around a shiny gas pump, with one member holding the nozzle as vivid, newly-refined gasoline flows into the office's generator. The room is filled with an energetic hum as the gasoline fuels the generator. In the background, a computer screen displays a professional-looking YouTube video title for an upcoming MinuteEarth video being typed out with precision. The refined gas seems to be fueling not only the generator but also the creativity of the team, resulting in a surge of polished, professional-sounding video titles that captivate attention. 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 professional-sounding MinuteEarth YouTube video titles are and Gasoline pumped in Madagascar. 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: Photorealism Data cyber art Cyber folk A photo-realistic image a Polaroid photo
ChatGPT: A photo-realistic 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 professional-sounding MinuteEarth YouTube video titles are and Gasoline pumped in Madagascar, in the following situation: The correlation is due to the fact that as the gasoline in Madagascar becomes more refined, it fuels a surge in creativity at MinuteEarth. The quality of the video titles ignites, sparking a greater interest in professionalism. It's like they say, "Where there's a fuel, there's a MinuteEarth professional video title!". Keep the description simple.
ChatGPT: In a bustling, modern-looking office at MinuteEarth headquarters in Madagascar, the team members are huddled around a shiny gas pump. The vivid, newly-refined gasoline is being pumped into the office's generator, filling the room with an energetic hum. Meanwhile, on a computer screen, a professional-looking YouTube video title for an upcoming MinuteEarth video is being typed out with precision. The refined gas seems to be fueling not only the generator but also the creativity of the team, resulting in a surge of polished, professional-sounding video titles that captivate attention.

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 photo-realistic image ] and depicting this scene: In a bustling, modern-looking office at MinuteEarth headquarters in Madagascar, the team members are huddled around a shiny gas pump. The vivid, newly-refined gasoline is being pumped into the office's generator, filling the room with an energetic hum. Meanwhile, on a computer screen, a professional-looking YouTube video title for an upcoming MinuteEarth video is being typed out with precision. The refined gas seems to be fueling not only the generator but also the creativity of the team, resulting in a surge of polished, professional-sounding video titles that captivate attention. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: [A photo-realistic image] Set the scene in a bustling, modern-looking office at MinuteEarth headquarters in Madagascar. The team members are huddled around a shiny gas pump, with one member holding the nozzle as vivid, newly-refined gasoline flows into the office's generator. The room is filled with an energetic hum as the gasoline fuels the generator. In the background, a computer screen displays a professional-looking YouTube video title for an upcoming MinuteEarth video being typed out with precision. The refined gas seems to be fueling not only the generator but also the creativity of the team, resulting in a surge of polished, professional-sounding video titles that captivate attention.

*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 an increase in How professional-sounding MinuteEarth YouTube video titles are caused Gasoline pumped in Madagascar to increase. Include one good pun.

AI academic paper

(Because p < 0.01)

Fueling the Fire: The Correlation Between MinuteEarth Video Titles and Gasoline Consumption in Madagascar

The Journal of Comical Ecological Studies

Jan 2024

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

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

Model: gpt-3.5-turbo-1106
System prompt: You are a 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 professional-sounding MinuteEarth YouTube video titles are and Gasoline pumped in Madagascar. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then devolve ever further, and mention something completely ridiculous, like you conducted literature review by reading the backs of shampoo bottles.

Here is the title and abstract of the paper:
[[TITLE]]
"Fueling the Fire: The Correlation Between MinuteEarth Video Titles and Gasoline Consumption in Madagascar"

[[ABSTRACT]]
In this paper, we delve into the unexpected and seemingly unrelated realms of YouTube video titles and gasoline consumption in Madagascar. With a touch of humor, a pinch of pun, and a whole lot of data, we uncover the surprising connection between the two. By utilizing AI analysis to assess the professional-sounding nature of MinuteEarth video titles and tapping into the Energy Information Administration's data on gasoline consumption, we meticulously scrutinize the relationship between these variables. Our findings reveal a staggering correlation coefficient of 0.9074186 and a p-value less than 0.01 for the period spanning 2013 to 2021. As we unravel this unexpected link, we invite readers to fuel their curiosity while we navigate through the entertainingly unexpected world of minute earth-shattering discoveries, like how minute YouTube videos can somehow influence gasoline consumption trends halfway across the globe in Madagascar. So, buckle up and be prepared for a wild ride filled with statistical analyses and dad jokes aplenty because, after all, laughter is the best MPG booster!

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
In the world of academic research, it is not uncommon to stumble upon seemingly improbable connections between disparate phenomena. As researchers, our curiosity leads us down unexpected paths, and in this study, we embark on a journey that explores the relationship between MinuteEarth video titles and gasoline consumption in Madagascar. While this association may seem as out of place as a penguin in the Sahara, we approach it with the seriousness of a caffeine-addicted statistician and the wit of a stand-up comedian.
Now, you might be thinking, "What do YouTube video titles have to do with gasoline consumption in Madagascar?" Well, it turns out, potentially a lot more than one might expect. But before we reveal the punchline to this unconventional mystery, let's lay down the groundwork for our investigation.
In the realm of minute Earth-shaking revelations, we introduce the concept of professional-sounding video titles. These titles, characterized by a certain level of sophistication and linguistic finesse, are believed to captivate and compel viewers to click, ensuring that their curiosity is piqued. This is much like how a good dad joke draws you in with its eye-rolling humor but leaves you secretly amused. As we dive deeper into the world of minute earthen connections, we ponder whether the allure of a well-crafted video title could extend its influence beyond mere clicks and views and reach into the domain of real-life decision-making, such as gasoline consumption patterns.
But wait, there's more! As we shift gears, we bring the focus to the idyllic island of Madagascar, known for its breathtaking landscapes, diverse wildlife, and the enigmatic lemurs. Here, amidst the swaying palms and vibrant culture, lies an intricate web of gasoline consumption data waiting to be unraveled. Much like a curious lemur peering through the foliage, we analyze the patterns and trends in gasoline consumption, leading us to ask the question: Can the allure of a professional-sounding video title reach across continents and influence the choices made at the gasoline pump in Madagascar?
So, fasten your seatbelts and get ready to roll down the statistical highway, as we dissect the data, unravel the unexpected, and sprinkle in a healthy dose of dad jokes along the way. After all, there's nothing like a good laugh to fuel our journey through the uncharted territory of minute Earthly connections!

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

The connection between seemingly disparate variables has long intrigued researchers in various fields. Some past studies, such as those by Smith (2015) and Doe (2018), have focused on unexpected correlations, much like discovering a hidden stash of snacks in the back of a filing cabinet. However, our investigation takes an even more unexpected turn as we delve into the world of MinuteEarth video titles and gasoline consumption in Madagascar, taking an academic leap that might seem as improbable as finding a polar bear in the tropics.

Drawing from the work of Jones (2020), we recognize the influence of linguistic cues and presentation in shaping consumer behavior. This influence can be as subtle as the undertones of a well-crafted dad joke, leading to a grudging smile from even the most stoic reader. Similarly, professional-sounding video titles may hold the same power, drawing viewers in and influencing their decision-making—much like a masterful play on words that brings a smirk to the lips of the most jaded listener.

In "The Psychology of Consumer Decision Making" by Johnson (2017), the impact of persuasive language on consumer choices is explored, shedding light on the intricate dance between language and decision-making. Just as a well-timed dad joke can sway the mood of a room, professional video titles may exert a subtle yet significant influence on the preferences and actions of viewers. This influence, while often underestimated, plays a role in shaping the digital landscape and, as our research proposes, may extend its reach to unforeseen domains, such as gasoline consumption in Madagascar.

Venturing into related literature, we encounter "Fueling the Mind: A Societal Analysis of Gasoline Consumption" by Peterson et al. (2019), which examines the multifaceted determinants of gasoline usage. Like a gripping novel, this study immerses readers in the complexities of fuel consumption patterns, presenting a narrative rich in data and insights. Little do these authors know, their scholarly exploration of gasoline consumption serves as the unassuming backdrop for the rollicking saga of MinuteEarth video titles, where unexpected connections and quirky correlations abound.

Transitioning from the realms of non-fiction, we encounter a collection of works from the fiction aisle that, while not directly related to our study, bear titles and themes that could very well parallel the unexpected bond we seek to unravel. Titles such as "The Power of Words" by Novell (2008) and "Influence and Allure: The Art of Persuasion" by Yarnell (2012) serve as a whimsical reminder that, much like the pages of a well-spun story, our research endeavor holds the promise of unexpected plot twists and outlandish connections.

In the quest for unconventional sources, we turned to uncharted territories, where the mundane meets the absurd. This led us to "The Secret Language of Shampoo Bottles" by Anonymous (2021), an unexpected treasure trove of unnoticed wit and wisdom. While not a conventional scholarly source, the eclectic assortment of snippets and labels provided a refreshing perspective and, surprisingly, a fair share of dad jokes—serving as a lighthearted reminder that inspiration can arise from even the most inconspicuous of sources.

Thus, armed with insights from academic discourse, fictional musings, and the unlikeliest of sources, we embark on a scholarly journey that promises to entertain, enlighten, and, most importantly, bring a smile to the face of even the most discerning reader.

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 professional-sounding MinuteEarth YouTube video titles are and Gasoline pumped in Madagascar. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from AI analysis of YouTube video titles and Energy Information Administration . You used data from 2013 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]]
"Fueling the Fire: The Correlation Between MinuteEarth Video Titles and Gasoline Consumption in Madagascar"

[[ABSTRACT]]
In this paper, we delve into the unexpected and seemingly unrelated realms of YouTube video titles and gasoline consumption in Madagascar. With a touch of humor, a pinch of pun, and a whole lot of data, we uncover the surprising connection between the two. By utilizing AI analysis to assess the professional-sounding nature of MinuteEarth video titles and tapping into the Energy Information Administration's data on gasoline consumption, we meticulously scrutinize the relationship between these variables. Our findings reveal a staggering correlation coefficient of 0.9074186 and a p-value less than 0.01 for the period spanning 2013 to 2021. As we unravel this unexpected link, we invite readers to fuel their curiosity while we navigate through the entertainingly unexpected world of minute earth-shattering discoveries, like how minute YouTube videos can somehow influence gasoline consumption trends halfway across the globe in Madagascar. So, buckle up and be prepared for a wild ride filled with statistical analyses and dad jokes aplenty because, after all, laughter is the best MPG booster!

[[INTRODUCTION]]
In the world of academic research, it is not uncommon to stumble upon seemingly improbable connections between disparate phenomena. As researchers, our curiosity leads us down unexpected paths, and in this study, we embark on a journey that explores the relationship between MinuteEarth video titles and gasoline consumption in Madagascar. While this association may seem as out of place as a penguin in the Sahara, we approach it with the seriousness of a caffeine-addicted statistician and the wit of a stand-up comedian.
Now, you might be thinking, "What do YouTube video titles have to do with gasoline consumption in Madagascar?" Well, it turns out, potentially a lot more than one might expect. But before we reveal the punchline to this unconventional mystery, let's lay down the groundwork for our investigation.
In the realm of minute Earth-shaking revelations, we introduce the concept of professional-sounding video titles. These titles, characterized by a certain level of sophistication and linguistic finesse, are believed to captivate and compel viewers to click, ensuring that their curiosity is piqued. This is much like how a good dad joke draws you in with its eye-rolling humor but leaves you secretly amused. As we dive deeper into the world of minute earthen connections, we ponder whether the allure of a well-crafted video title could extend its influence beyond mere clicks and views and reach into the domain of real-life decision-making, such as gasoline consumption patterns.
But wait, there's more! As we shift gears, we bring the focus to the idyllic island of Madagascar, known for its breathtaking landscapes, diverse wildlife, and the enigmatic lemurs. Here, amidst the swaying palms and vibrant culture, lies an intricate web of gasoline consumption data waiting to be unraveled. Much like a curious lemur peering through the foliage, we analyze the patterns and trends in gasoline consumption, leading us to ask the question: Can the allure of a professional-sounding video title reach across continents and influence the choices made at the gasoline pump in Madagascar?
So, fasten your seatbelts and get ready to roll down the statistical highway, as we dissect the data, unravel the unexpected, and sprinkle in a healthy dose of dad jokes along the way. After all, there's nothing like a good laugh to fuel our journey through the uncharted territory of minute Earthly connections!

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

To untangle the enigmatic relationship between MinuteEarth video titles and gasoline consumption in Madagascar, we employed a multi-faceted methodology, encompassing both AI analysis of YouTube video titles and the collection of gasoline consumption data from the Energy Information Administration. Our approach can be likened to a complex dance, where the steps of data collection, analysis, and interpretation intertwine to reveal the hidden rhythm of correlation.

First, we enlisted the assistance of an advanced AI system, affectionately dubbed "Punditron 3000," to evaluate the professional-sounding nature of MinuteEarth video titles. Punditron 3000, with its knack for linguistic acumen and a good eye for wordplay, meticulously assessed various linguistic features, including vocabulary sophistication, syntactic complexity, and rhetorical flair. This AI analysis was essential in quantifying the degree of professionalism exuded by each video title, as it allowed us to gauge the potential allure of these titles with a precision that would make even the most meticulous lemur envious.

Next, we set our sights on the treasure trove of gasoline consumption data provided by the Energy Information Administration. Here, we delved into the depths of annual gasoline consumption figures in Madagascar, meticulously sifting through the numerical representations of fuel usage with the diligence of a lemur picking the choicest fruits. This involved extracting and compiling data spanning from 2013 to 2021, covering a substantial timeframe to capture the nuanced fluctuations in gasoline consumption patterns.

With our data in hand, we navigated the statistical seas with the agility of a leaping lemur, employing robust correlation analyses and regression models to dissect the potential relationship between professional-sounding video titles and gasoline consumption. Our statistical toolbox included Pearson's correlation coefficient and multiple regression analyses, which enabled us to quantify the strength and direction of the relationship while controlling for potential confounding variables.

In the spirit of scientific inquiry and a touch of whimsy, we also incorporated a "Dad Joke Density" metric into our analysis, quantifying the frequency of dad jokes in MinuteEarth video titles to explore their potential impact on viewer engagement and, by extension, gasoline consumption habits. This tongue-in-cheek addition provided a lighthearted dimension to our methodology, reminding us that even amidst rigorous data analysis, there's always room for a well-timed pun or two.

In the words of an enthusiastic dad, "I'm reading a book about anti-gravity. It's impossible to put down." Similarly, our methodology, while grounded in scholarly rigor, embraced the levity of unexpected quirks and lighthearted moments, adding a dash of humor to the pursuit of knowledge. With data in tow and a healthy dose of dad jokes at the ready, we set forth to unravel the captivating connection between MinuteEarth video titles and gasoline consumption in Madagascar.

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 professional-sounding MinuteEarth YouTube video titles are and Gasoline pumped in Madagascar. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Limit your response to 500 tokens.

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

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

[[TITLE]]
"Fueling the Fire: The Correlation Between MinuteEarth Video Titles and Gasoline Consumption in Madagascar"

[[ABSTRACT]]
In this paper, we delve into the unexpected and seemingly unrelated realms of YouTube video titles and gasoline consumption in Madagascar. With a touch of humor, a pinch of pun, and a whole lot of data, we uncover the surprising connection between the two. By utilizing AI analysis to assess the professional-sounding nature of MinuteEarth video titles and tapping into the Energy Information Administration's data on gasoline consumption, we meticulously scrutinize the relationship between these variables. Our findings reveal a staggering correlation coefficient of 0.9074186 and a p-value less than 0.01 for the period spanning 2013 to 2021. As we unravel this unexpected link, we invite readers to fuel their curiosity while we navigate through the entertainingly unexpected world of minute earth-shattering discoveries, like how minute YouTube videos can somehow influence gasoline consumption trends halfway across the globe in Madagascar. So, buckle up and be prepared for a wild ride filled with statistical analyses and dad jokes aplenty because, after all, laughter is the best MPG booster!

[[LITERATURE REVIEW]]
The connection between seemingly disparate variables has long intrigued researchers in various fields. Some past studies, such as those by Smith (2015) and Doe (2018), have focused on unexpected correlations, much like discovering a hidden stash of snacks in the back of a filing cabinet. However, our investigation takes an even more unexpected turn as we delve into the world of MinuteEarth video titles and gasoline consumption in Madagascar, taking an academic leap that might seem as improbable as finding a polar bear in the tropics.
Drawing from the work of Jones (2020), we recognize the influence of linguistic cues and presentation in shaping consumer behavior. This influence can be as subtle as the undertones of a well-crafted dad joke, leading to a grudging smile from even the most stoic reader. Similarly, professional-sounding video titles may hold the same power, drawing viewers in and influencing their decision-making—much like a masterful play on words that brings a smirk to the lips of the most jaded listener.
In "The Psychology of Consumer Decision Making" by Johnson (2017), the impact of persuasive language on consumer choices is explored, shedding light on the intricate dance between language and decision-making. Just as a well-timed dad joke can sway the mood of a room, professional video titles may exert a subtle yet significant influence on the preferences and actions of viewers. This influence, while often underestimated, plays a role in shaping the digital landscape and, as our research proposes, may extend its reach to unforeseen domains, such as gasoline consumption in Madagascar.
Venturing into related literature, we encounter "Fueling the Mind: A Societal Analysis of Gasoline Consumption" by Peterson et al. (2019), which examines the multifaceted determinants of gasoline usage. Like a gripping novel, this study immerses readers in the complexities of fuel consumption patterns, presenting a narrative rich in data and insights. Little do these authors know, their scholarly exploration of gasoline consumption serves as the unassuming backdrop for the rollicking saga of MinuteEarth video titles, where unexpected connections and quirky correlations abound.
Transitioning from the realms of non-fiction, we encounter a collection of works from the fiction aisle that, while not directly related to our study, bear titles and themes that could very well parallel the unexpected bond we seek to unravel. Titles such as "The Power of Words" by Novell (2008) and "Influence and Allure: The Art of Persuasion" by Yarnell (2012) serve as a whimsical reminder that, much like the pages of a well-spun story, our research endeavor holds the promise of unexpected plot twists and outlandish connections.
In the quest for unconventional sources, we turned to uncharted territories, where the mundane meets the absurd. This led us to "The Secret Language of Shampoo Bottles" by Anonymous (2021), an unexpected treasure trove of unnoticed wit and wisdom. While not a conventional scholarly source, the eclectic assortment of snippets and labels provided a refreshing perspective and, surprisingly, a fair share of dad jokes—serving as a lighthearted reminder that inspiration can arise from even the most inconspicuous of sources.
Thus, armed with insights from academic discourse, fictional musings, and the unlikeliest of sources, we embark on a scholarly journey that promises to entertain, enlighten, and, most importantly, bring a smile to the face of even the most discerning reader.

[[RESULTS]]
Our research team leaves no stone unturned, no clickbait unclicked, in our quest to uncover the mysterious link between MinuteEarth video titles and gasoline consumption in Madagascar. After a meticulous analysis of data spanning from 2013 to 2021, we uncovered a strikingly high correlation coefficient of 0.9074186 between the professional-sounding nature of MinuteEarth video titles and gasoline consumption in Madagascar. In other words, the relationship between these two variables is as strong as the force pulling a dad towards a barbecue grill on Father's Day - undeniable and powerful.
The coefficient of determination (r-squared) of 0.8234085 indicates that approximately 82% of the variability in gasoline consumption in Madagascar can be explained by the sophistication of MinuteEarth video titles. This level of predictability may seem surprising at first, but much like a well-timed punchline, our findings reveal that there is more than meets the eye when it comes to the influence of online content on real-world behaviors. It's as if the allure of a professional-sounding video title has the power to guide gasoline consumption trends in Madagascar, almost like a GPS for viewer engagement leading to real-world impact.
Moreover, the p-value of less than 0.01 provides strong evidence against the null hypothesis, suggesting that the association we observed is not due to random chance. This statistical significance is as clear as a well-delivered punchline; there's no room for doubt, and the connection between MinuteEarth video titles and gasoline consumption in Madagascar stands out like a good dad joke in a serious conversation - unexpected, yet undeniably impactful.
Our findings are visually represented in Fig. 1, where a scatterplot illustrates the robust relationship between the professional-sounding nature of MinuteEarth video titles and gasoline consumption in Madagascar. The data points form a pattern more predictable than a dad telling a "back in my day" story, solidifying the unexpected yet compelling association we have unveiled.
In summary, our results paint a vivid picture of the unanticipated connection between MinuteEarth video titles and gasoline consumption in Madagascar. This unusual pairing serves as a reminder that in the world of research, just like in the realm of dad jokes, the most unexpected associations often yield the most intriguing insights.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

Our investigation into the correlation between MinuteEarth video titles and gasoline consumption in Madagascar has brought forth some truly remarkable findings. At first glance, one might be inclined to dismiss this seemingly incongruous relationship as akin to plumbing the depths of the ocean for a lost sock – utterly improbable and yet wonderfully surprising. However, our results have not only validated the existence of this connection but have also shed light on the substantial influence of MinuteEarth's linguistic allure on the fuel consumption patterns in Madagascar.

It is undeniable that the influence of linguistic cues and persuasive language, whether in the form of a well-crafted dad joke or a compelling video title, permeates the human decision-making process. Our study, building upon the insights of Johnson (2017) and Jones (2020), provides empirical support for the notion that the professional-sounding nature of video titles, much like the punchline of a well-timed dad joke, holds the potential to sway consumer behavior.

Furthermore, our robust correlation coefficient and statistical significance underscore the tangible impact of MinuteEarth's video titles on gasoline consumption in Madagascar. This unexpected yet compelling association stands as a testament to the far-reaching effects of online content, serving as a reminder that the digital landscape exerts a subtler, yet significant, influence on real-world behaviors – much like a cleverly inserted dad joke that elicits a reluctant chuckle even in the most serious of settings.

As researchers, it is crucial to acknowledge that our findings point to a complex interplay of factors influencing gasoline consumption trends. While our study highlights the pronounced role of MinuteEarth video titles, it is imperative to recognize that other variables, such as economic conditions and geopolitical factors, may also contribute to fluctuations in gasoline consumption. Nevertheless, the influence of MinuteEarth video titles, much like a good dad joke, cannot be discounted, given the compelling correlation observed.

More research is warranted to delve deeper into the mechanisms through which online content, particularly professional-sounding video titles, impacts consumer behavior in diverse contexts. Just as a well-crafted dad joke evolves in its delivery and reception, the nature of digital influence merits further exploration to uncover the nuances of its effects on real-world phenomena.

In sum, our study has illuminated a captivating connection between MinuteEarth video titles and gasoline consumption in Madagascar, offering a glimpse into the charmingly unexpected influence of linguistic allure on consumer behavior. It is our hope that this research inspires further investigations into the uncharted territories of online content's influence, reminding scholars that, much like a cleverly integrated dad joke, the most surprising associations often yield the most delightful insights.

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 professional-sounding MinuteEarth YouTube video titles are and Gasoline pumped in Madagascar. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Stay serious and dry most of the time, but then occasionally let your wit shine through.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
"Fueling the Fire: The Correlation Between MinuteEarth Video Titles and Gasoline Consumption in Madagascar"

[[ABSTRACT]]
In this paper, we delve into the unexpected and seemingly unrelated realms of YouTube video titles and gasoline consumption in Madagascar. With a touch of humor, a pinch of pun, and a whole lot of data, we uncover the surprising connection between the two. By utilizing AI analysis to assess the professional-sounding nature of MinuteEarth video titles and tapping into the Energy Information Administration's data on gasoline consumption, we meticulously scrutinize the relationship between these variables. Our findings reveal a staggering correlation coefficient of 0.9074186 and a p-value less than 0.01 for the period spanning 2013 to 2021. As we unravel this unexpected link, we invite readers to fuel their curiosity while we navigate through the entertainingly unexpected world of minute earth-shattering discoveries, like how minute YouTube videos can somehow influence gasoline consumption trends halfway across the globe in Madagascar. So, buckle up and be prepared for a wild ride filled with statistical analyses and dad jokes aplenty because, after all, laughter is the best MPG booster!

[[INTRDUCTION]]
In the world of academic research, it is not uncommon to stumble upon seemingly improbable connections between disparate phenomena. As researchers, our curiosity leads us down unexpected paths, and in this study, we embark on a journey that explores the relationship between MinuteEarth video titles and gasoline consumption in Madagascar. While this association may seem as out of place as a penguin in the Sahara, we approach it with the seriousness of a caffeine-addicted statistician and the wit of a stand-up comedian.
Now, you might be thinking, "What do YouTube video titles have to do with gasoline consumption in Madagascar?" Well, it turns out, potentially a lot more than one might expect. But before we reveal the punchline to this unconventional mystery, let's lay down the groundwork for our investigation.
In the realm of minute Earth-shaking revelations, we introduce the concept of professional-sounding video titles. These titles, characterized by a certain level of sophistication and linguistic finesse, are believed to captivate and compel viewers to click, ensuring that their curiosity is piqued. This is much like how a good dad joke draws you in with its eye-rolling humor but leaves you secretly amused. As we dive deeper into the world of minute earthen connections, we ponder whether the allure of a well-crafted video title could extend its influence beyond mere clicks and views and reach into the domain of real-life decision-making, such as gasoline consumption patterns.
But wait, there's more! As we shift gears, we bring the focus to the idyllic island of Madagascar, known for its breathtaking landscapes, diverse wildlife, and the enigmatic lemurs. Here, amidst the swaying palms and vibrant culture, lies an intricate web of gasoline consumption data waiting to be unraveled. Much like a curious lemur peering through the foliage, we analyze the patterns and trends in gasoline consumption, leading us to ask the question: Can the allure of a professional-sounding video title reach across continents and influence the choices made at the gasoline pump in Madagascar?
So, fasten your seatbelts and get ready to roll down the statistical highway, as we dissect the data, unravel the unexpected, and sprinkle in a healthy dose of dad jokes along the way. After all, there's nothing like a good laugh to fuel our journey through the uncharted territory of minute Earthly connections!

[[RESULTS]]
Our research team leaves no stone unturned, no clickbait unclicked, in our quest to uncover the mysterious link between MinuteEarth video titles and gasoline consumption in Madagascar. After a meticulous analysis of data spanning from 2013 to 2021, we uncovered a strikingly high correlation coefficient of 0.9074186 between the professional-sounding nature of MinuteEarth video titles and gasoline consumption in Madagascar. In other words, the relationship between these two variables is as strong as the force pulling a dad towards a barbecue grill on Father's Day - undeniable and powerful.
The coefficient of determination (r-squared) of 0.8234085 indicates that approximately 82% of the variability in gasoline consumption in Madagascar can be explained by the sophistication of MinuteEarth video titles. This level of predictability may seem surprising at first, but much like a well-timed punchline, our findings reveal that there is more than meets the eye when it comes to the influence of online content on real-world behaviors. It's as if the allure of a professional-sounding video title has the power to guide gasoline consumption trends in Madagascar, almost like a GPS for viewer engagement leading to real-world impact.
Moreover, the p-value of less than 0.01 provides strong evidence against the null hypothesis, suggesting that the association we observed is not due to random chance. This statistical significance is as clear as a well-delivered punchline; there's no room for doubt, and the connection between MinuteEarth video titles and gasoline consumption in Madagascar stands out like a good dad joke in a serious conversation - unexpected, yet undeniably impactful.
Our findings are visually represented in Fig. 1, where a scatterplot illustrates the robust relationship between the professional-sounding nature of MinuteEarth video titles and gasoline consumption in Madagascar. The data points form a pattern more predictable than a dad telling a "back in my day" story, solidifying the unexpected yet compelling association we have unveiled.
In summary, our results paint a vivid picture of the unanticipated connection between MinuteEarth video titles and gasoline consumption in Madagascar. This unusual pairing serves as a reminder that in the world of research, just like in the realm of dad jokes, the most unexpected associations often yield the most intriguing insights.

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Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our study has illuminated the captivating relationship between MinuteEarth video titles and gasoline consumption in Madagascar. Our findings demonstrate a correlation coefficient so strong that it could power a fleet of dad jokes for years to come—yes, it's that substantial! With a p-value less than 0.01, the connection between professional-sounding video titles and gasoline consumption in Madagascar stands out like a punchline at a comedy show, leaving no room for doubt.

The predictability of approximately 82% in gasoline consumption may seem surprising, but it's as reliable as a classic dad joke bringing a smile to your face, time after time. This unexpected influence of online content on real-world behaviors mirrors the way a well-crafted joke can guide the mood of a room, steering it toward laughter and amusement.

As we look ahead, one cannot help but wonder about the broader implications of our findings. Could the influence of YouTube video titles extend to other consumer behaviors? Are there unseen forces at play, shaping our daily decisions in ways we have yet to comprehend? These questions, much like a new dad joke, leave us eagerly anticipating what surprising twist will come next.

In light of these remarkable discoveries, we assert that additional research in this area is not necessary. Instead, let's revel in the whimsical connection between MinuteEarth video titles and gasoline consumption in Madagascar, embracing the unexpected nature of our findings.

So, as we wrap up this wild ride filled with statistical analyses and dad jokes aplenty, let's remember that in the grand theater of research, much like in the realm of humor, the most unlikely connections often hold the keys to genuine enlightenment. And after all, laughter is the best MPG booster!

No further research needed. Case closed!

Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of academic journals. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding research, scientific, or academic journal that would publish a paper entited Fueling the Fire: The Correlation Between MinuteEarth Video Titles and Gasoline Consumption in Madagascar. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Comical Ecological Studies

Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of nonprofit research organizations and associations. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding nonprofit, academic, or scientific association or organization that would sponsor research that resulted in a paper entited Fueling the Fire: The Correlation Between MinuteEarth Video Titles and Gasoline Consumption in Madagascar. Respond only with the name of a fictional organization.

ChatGPT:

The Society for the Advancement of Mischievous Earth Studies

Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled Fueling the Fire: The Correlation Between MinuteEarth Video Titles and Gasoline Consumption in Madagascar with an abstract of In this paper, we delve into the unexpected and seemingly unrelated realms of YouTube video titles and gasoline consumption in Madagascar. With a touch of humor, a pinch of pun, and a whole lot of data, we uncover the surprising connection between the two. By utilizing AI analysis to assess the professional-sounding nature of MinuteEarth video titles and tapping into the Energy Information Administration's data on gasoline consumption, we meticulously scrutinize the relationship between these variables. Our findings reveal a staggering correlation coefficient of 0.9074186 and a p-value less than 0.01 for the period spanning 2013 to 2021. As we unravel this unexpected link, we invite readers to fuel their curiosity while we navigate through the entertainingly unexpected world of minute earth-shattering discoveries, like how minute YouTube videos can somehow influence gasoline consumption trends halfway across the globe in Madagascar. So, buckle up and be prepared for a wild ride filled with statistical analyses and dad jokes aplenty because, after all, laughter is the best MPG booster!

ChatGPT:

MinuteEarth video titles, YouTube video titles, gasoline consumption, Madagascar, correlation, AI analysis, Energy Information Administration, correlation coefficient, p-value, 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

How professional-sounding MinuteEarth YouTube video titles are
Detailed data title: How professional-sounding MinuteEarth 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 professional-sounding MinuteEarth YouTube video titles are

Gasoline pumped in Madagascar
Detailed data title: Volume of gasoline pumped consumed in Madagascar in millions of barrels per day
Source: Energy Information Administration
See what else correlates with Gasoline pumped in Madagascar

Correlation r = 0.9074186 (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 = 0.8234085 (Coefficient of determination)
This means 82.3% of the change in the one variable (i.e., Gasoline pumped in Madagascar) is predictable based on the change in the other (i.e., How professional-sounding MinuteEarth YouTube video titles are) over the 9 years from 2013 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.00073.^Show 0.0007254667148272587000000000
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 0.91 in 0.073% of random cases. Said differently, if you correlated 1,378 random variables^Note Which I absolutely did.
with the same 8 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 8 because we have two variables measured over a period of 9 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, 0.98 ] 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.

	2013	2014	2015	2016	2017	2018	2019	2020	2021
How professional-sounding MinuteEarth YouTube video titles are (Score (out of 10))	6.7241	7.25	7.4348	7.6875	7.1892	7.2174	7.3462	7.1111	7.0638
Gasoline pumped in Madagascar (Million Barrels/Day)	2.19628	2.57068	2.99101	3.20315	2.73427	2.46292	3.01471	2.64079	2.64079

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([6.7241,7.25,7.4348,7.6875,7.1892,7.2174,7.3462,7.1111,7.0638,])
array_2 = np.array([2.19628,2.57068,2.99101,3.20315,2.73427,2.46292,3.01471,2.64079,2.64079,])
array_1_name = "How professional-sounding MinuteEarth YouTube video titles are"
array_2_name = "Gasoline pumped in Madagascar"

# 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
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Line chart for only How professional-sounding MinuteEarth YouTube video titles are
Line chart for only Gasoline pumped in Madagascar
AI-generated correlation image
The spurious research paper: Fueling the Fire: The Correlation Between MinuteEarth Video Titles and Gasoline Consumption in Madagascar

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Correlation ID: 4733 · Black Variable ID: 25618 · Red Variable ID: 24653


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