Spurious correlation #4,991 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Popularity of the 'thats what she said' meme and the second variable is Geothermal power generated in Ethiopia. The chart goes from 2006 to 2021, and the two variables track closely in value over that time.

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Popularity of the 'thats what she said' meme and the second variable is Geothermal power generated in Ethiopia. The chart goes from 2006 to 2021, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As the 'that's what she said' jokes spread, they created more hot air which ultimately led to an increase in demand for geothermal power in Ethiopia to harness all that extra energy.

^{Show image generation prompt} Create a meme inspired by the thats what she said meme that in some way references Geothermal power generated in Ethiopia. Try to emulate the style of the meme - don’t violate the copyright, just make it look and feel like the original meme.
^{Show prompt for explanation} Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how increases in Popularity of the 'thats what she said' meme positively influenced Geothermal power generated in Ethiopia.

AI academic paper

(Because p < 0.01)

That's Hot: Exploring the Relationship Between the 'That's What She Said' Meme Popularity and Geothermal Power Generation in Ethiopia

The Journal of Memes and Energy 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 Popularity of the 'thats what she said' meme and Geothermal power generated in Ethiopia. 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 you might move on to cartoons and children's shows that you watched for research.

Here is the title and abstract of the paper:
[[TITLE]]
"That's Hot: Exploring the Relationship Between the 'That's What She Said' Meme Popularity and Geothermal Power Generation in Ethiopia"

[[ABSTRACT]]
In this study, we delve into the fascinating world of memes and energy generation to explore the unexpected correlation between the popularity of the "that's what she said" meme and geothermal power production in Ethiopia. While this may sound like a punchline to a quirky joke, our findings reveal a statistically significant connection between the two seemingly unrelated phenomena. Using data from Google Trends and the Energy Information Administration, we employed rigorous statistical analysis to unveil a correlation coefficient of 0.8946427 and p < 0.01 from 2006 to 2021. Our results not only shed light on this unconventional relationship but also underscore the importance of considering unforeseen variables in energy research. So, the next time someone cracks a "that's what she said" joke, remember that it might just be heating up more than the conversation!

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The intersection of memes and energy generation has long been an unexplored territory in academia, but thanks to the ever-curious nature of researchers and the boundless possibilities of the internet, we find ourselves embarking on a quest to uncover the unexpected link between the "that's what she said" meme and geothermal power production in Ethiopia. While one may be quick to dismiss this connection as a mere coincidence or a product of delirious late-night data crunching, the evidence we present in this paper forces us to take it seriously – with a good-natured grin, of course.
As the technological landscape and social media have woven themselves into the fabric of our daily lives, memes have become a thriving form of cultural expression, providing humor, commentary, and sometimes even unintentional data points for researchers. The "that's what she said" meme, often used as a cringe-worthy one-liner in jest, has permeated popular culture to such an extent that it deserves a close examination beyond its comedic value. Conversely, geothermal power, harnessing the Earth's natural heat to generate electricity, represents a sustainable and environmentally-friendly energy source that often takes a backseat in discussions of renewable energy. In bringing these two seemingly disparate phenomena together, we aim to shine a light on the unexpected connections that can emerge when we scrutinize the unlikeliest of pairings.
While the coupling of the "that's what she said" meme and geothermal power generation may raise more eyebrows than a celebrity tabloid headline, our preliminary research has led us to a statistically significant association that cannot be ignored. Through the lens of Google Trends data and the Energy Information Administration's records, we have teased out a correlation that elicits both amusement and genuine curiosity. Whether this connection is a mere fluke or a reflection of deeper societal trends remains to be fully understood, but our findings beckon us to ponder the intricate web of influences shaping our world.
In the following sections, we will first delve into the literature surrounding memes and renewable energy, offering a comprehensive review of existing theories and research. We will then detail our methodology, laying bare the intricacies of data collection, analysis, and the occasional perplexed stare at the screen. Subsequently, we will present our findings, showcasing the undeniable statistical relationship between the "that's what she said" meme and geothermal power production. Finally, we will discuss the implications of our discoveries, teasing apart the threads of humor and significance that weave through this curious tapestry.
So, fasten your seatbelts, dear readers, for what lies ahead is not just a scholarly exploration, but a journey into the unexpected, where humor and science collide in a delightful tango. After all, as the saying goes, "That's what she said," and that's also the direction this research is taking – into the uncharted realms of meme-powered geothermal musings. Let the puns and productivity flow!

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
**LITERATURE REVIEW**

The relationship between the popularity of the "that's what she said" meme and geothermal power generation may seem absurd at first glance, but as we dive into the literature, we find that unexpected connections often lurk beneath the surface of seemingly unrelated phenomena.

Smith (2015) analyzed the cultural impact of memes on societal humor, delving into the psychological mechanisms that make certain phrases and images viral in the digital age. Doe (2018) conducted a comprehensive study on the renewable energy landscape of Ethiopia, emphasizing the potential of geothermal power as a sustainable resource. Likewise, Jones (2020) explored the ways in which internet memes reflect and influence contemporary culture, shedding light on their role as a form of expression and social commentary.

Moving beyond the immediate academic landscape, "The Power of Earth: Geothermal Energy Systems Explained" by Renewable Energy Institute (2019) provides a detailed overview of geothermal power generation, offering insights into its applications and potential for addressing energy needs. On the other hand, "Meme Magic: Unraveling the Mystery" by Internet Culture Research Group (2017) presents a lighthearted but comprehensive examination of the rise and influence of memes in the modern era, emphasizing their ability to shape discourse and behavior in unexpected ways.

In fiction literature, the works of J.R.R. Tolkien, particularly "The Lord of the Rings," offer allegorical explorations of power and influence – albeit in a fantasy realm far removed from our current research interests. Similarly, "The Hitchhiker's Guide to the Galaxy" by Douglas Adams whimsically navigates the absurdity of the universe, though its insights into geothermal power and memes may be, shall we say, tangential at best.

For a deeper understanding of the cultural significance of memes, our research delved into the delightful realm of children's shows and cartoons. "SpongeBob SquarePants" episodes featuring Patrick Star's iconic quotes provided valuable context on the rapid proliferation and adoption of catchphrases in popular culture. Additionally, "The Magic School Bus" episode on geothermal energy proved to be an unexpectedly informative source, serving as a playful primer on the Earth's inner heat.

With this eclectic mix of scholarly and unconventional sources, our literature review sets the stage for an exploration of the unorthodox but undeniably intriguing relationship between the "that's what she said" meme and geothermal power generation in Ethiopia. As we journey into this uncharted territory, we invite readers to embrace the unexpected and, quite possibly, the absurd. After all, in the words of the meme itself, "That's what she said." Let the scholarly shenanigans commence!

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

Please make up the methodology section of an academic research paper presenting the findings of the connection between Popularity of the 'thats what she said' meme and Geothermal power generated in Ethiopia. Make lots of jokes, goofy observations, and puns.

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

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

Here is the title, abstract, and introduction of the paper:
[[TITLE]]
"That's Hot: Exploring the Relationship Between the 'That's What She Said' Meme Popularity and Geothermal Power Generation in Ethiopia"

[[ABSTRACT]]
In this study, we delve into the fascinating world of memes and energy generation to explore the unexpected correlation between the popularity of the "that's what she said" meme and geothermal power production in Ethiopia. While this may sound like a punchline to a quirky joke, our findings reveal a statistically significant connection between the two seemingly unrelated phenomena. Using data from Google Trends and the Energy Information Administration, we employed rigorous statistical analysis to unveil a correlation coefficient of 0.8946427 and p < 0.01 from 2006 to 2021. Our results not only shed light on this unconventional relationship but also underscore the importance of considering unforeseen variables in energy research. So, the next time someone cracks a "that's what she said" joke, remember that it might just be heating up more than the conversation!

[[INTRODUCTION]]
The intersection of memes and energy generation has long been an unexplored territory in academia, but thanks to the ever-curious nature of researchers and the boundless possibilities of the internet, we find ourselves embarking on a quest to uncover the unexpected link between the "that's what she said" meme and geothermal power production in Ethiopia. While one may be quick to dismiss this connection as a mere coincidence or a product of delirious late-night data crunching, the evidence we present in this paper forces us to take it seriously – with a good-natured grin, of course.
As the technological landscape and social media have woven themselves into the fabric of our daily lives, memes have become a thriving form of cultural expression, providing humor, commentary, and sometimes even unintentional data points for researchers. The "that's what she said" meme, often used as a cringe-worthy one-liner in jest, has permeated popular culture to such an extent that it deserves a close examination beyond its comedic value. Conversely, geothermal power, harnessing the Earth's natural heat to generate electricity, represents a sustainable and environmentally-friendly energy source that often takes a backseat in discussions of renewable energy. In bringing these two seemingly disparate phenomena together, we aim to shine a light on the unexpected connections that can emerge when we scrutinize the unlikeliest of pairings.
While the coupling of the "that's what she said" meme and geothermal power generation may raise more eyebrows than a celebrity tabloid headline, our preliminary research has led us to a statistically significant association that cannot be ignored. Through the lens of Google Trends data and the Energy Information Administration's records, we have teased out a correlation that elicits both amusement and genuine curiosity. Whether this connection is a mere fluke or a reflection of deeper societal trends remains to be fully understood, but our findings beckon us to ponder the intricate web of influences shaping our world.
In the following sections, we will first delve into the literature surrounding memes and renewable energy, offering a comprehensive review of existing theories and research. We will then detail our methodology, laying bare the intricacies of data collection, analysis, and the occasional perplexed stare at the screen. Subsequently, we will present our findings, showcasing the undeniable statistical relationship between the "that's what she said" meme and geothermal power production. Finally, we will discuss the implications of our discoveries, teasing apart the threads of humor and significance that weave through this curious tapestry.
So, fasten your seatbelts, dear readers, for what lies ahead is not just a scholarly exploration, but a journey into the unexpected, where humor and science collide in a delightful tango. After all, as the saying goes, "That's what she said," and that's also the direction this research is taking – into the uncharted realms of meme-powered geothermal musings. Let the puns and productivity flow!

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

In order to unravel the mysterious link between the "that's what she said" meme and geothermal power generation in Ethiopia, our research team employed a multi-faceted methodology that involved equal parts data mining and meme appreciation. Our approach was primarily driven by an insatiable curiosity and a healthy dose of skepticism, which we believe are essential ingredients in any study venturing into the uncharted realms of internet culture and renewable energy.

Data Collection:
To begin with, we scoured the depths of the internet, navigating through the virtual jungles of social media platforms, forums, and meme archives in search of the elusive "that's what she said" meme. Embracing the chaos of the online world, we accessed Google Trends to obtain comprehensive data on the fluctuating popularity of the meme from 2006 to 2021. This involved countless hours of sifting through internet banter, deciphering the ebb and flow of meme trends, and resisting the temptation to click on cat videos.

Simultaneously, we ventured into the more grounded territory of renewable energy data, focusing our attention on Ethiopia's geothermal power production. Drawing from the Energy Information Administration's robust records, we meticulously gathered information on geothermal power generation in Ethiopia during the same timeframe. The juxtaposition of our meme hunt with the somber realm of energy statistics was reminiscent of a whimsical dance between levity and gravitas, creating a unique juxtaposition that mirrored the dichotomy of our research aims.

Data Analysis:
With our treasure trove of "that's what she said" meme data and geothermal power statistics in hand, we embarked on the daunting task of data analysis. Harnessing the power of statistical software and a copious amount of caffeine, we subjected the data to rigorous scrutiny, employing correlation analysis, time series modeling, and a generous dose of trial and error.

Correlation Coefficients:
The heart of our analysis lay in uncovering the correlation coefficient between "that's what she said" meme popularity and geothermal power generation. After navigating through perplexing spreadsheets and attempting to decode the enigmatic language of statistical formulas, we encountered a correlation coefficient of 0.8946427. As the numbers danced across our screens, we couldn't help but appreciate the unexpected harmony between a viral meme and the Earth's geological heat – a match made in statistical curiosity.

Statistical Significance:
Having unearthed the tantalizing correlation coefficient, we proceeded to assess the statistical significance of our findings. We fervently crunched numbers, squinted at scatter plots, and engaged in philosophical discussions on the nature of probability, eventually arriving at the resounding conclusion of p < 0.01. This moment of statistical triumph was reminiscent of a punchline landing just right – a moment of validation that echoed the resonance of a well-timed "that's what she said" joke.

Limitations:
As with any research endeavor, our methodology was not without its limitations. The inherently dynamic nature of internet memes meant that capturing their full essence was akin to catching lightning in a bottle – a fleeting endeavor that bordered on the whimsical. Similarly, while our exploration of geothermal power generation in Ethiopia was comprehensive, the complex interplay of socio-economic factors and environmental considerations remained a labyrinthine puzzle yet to be fully unraveled.

It is important to note that the results of our analysis do not imply a causal relationship between the "that's what she said" meme and geothermal power generation in Ethiopia. Rather, our findings underscore the unexpected connections that can emerge when seemingly unrelated phenomena are scrutinized through a lens of statistical inquiry and whimsical curiosity.

In summary, our methodology was a joyful fusion of diligent data collection, rigorous analysis, and the occasional burst of meme-inspired hilarity. This approach allowed us to unravel a correlation that defies the conventional boundaries of research, reinforcing the notion that in the vast tapestry of scientific inquiry, humor and curiosity weave together in unexpected harmony.

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 Popularity of the 'thats what she said' meme and Geothermal power generated in Ethiopia. Make lots of jokes, goofy observations, and puns.

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

For the time period 2006 to 2021, you found a correlation 0.8946427, r-squared of 0.8003855, 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]]
"That's Hot: Exploring the Relationship Between the 'That's What She Said' Meme Popularity and Geothermal Power Generation in Ethiopia"

[[ABSTRACT]]
In this study, we delve into the fascinating world of memes and energy generation to explore the unexpected correlation between the popularity of the "that's what she said" meme and geothermal power production in Ethiopia. While this may sound like a punchline to a quirky joke, our findings reveal a statistically significant connection between the two seemingly unrelated phenomena. Using data from Google Trends and the Energy Information Administration, we employed rigorous statistical analysis to unveil a correlation coefficient of 0.8946427 and p < 0.01 from 2006 to 2021. Our results not only shed light on this unconventional relationship but also underscore the importance of considering unforeseen variables in energy research. So, the next time someone cracks a "that's what she said" joke, remember that it might just be heating up more than the conversation!

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The intersection of memes and energy generation has long been an unexplored territory in academia, but thanks to the ever-curious nature of researchers and the boundless possibilities of the internet, we find ourselves embarking on a quest to uncover the unexpected link between the "that's what she said" meme and geothermal power production in Ethiopia. While one may be quick to dismiss this connection as a mere coincidence or a product of delirious late-night data crunching, the evidence we present in this paper forces us to take it seriously – with a good-natured grin, of course.
As the technological landscape and social media have woven themselves into the fabric of our daily lives, memes have become a thriving form of cultural expression, providing humor, commentary, and sometimes even unintentional data points for researchers. The "that's what she said" meme, often used as a cringe-worthy one-liner in jest, has permeated popular culture to such an extent that it deserves a close examination beyond its comedic value. Conversely, geothermal power, harnessing the Earth's natural heat to generate electricity, represents a sustainable and environmentally-friendly energy source that often takes a backseat in discussions of renewable energy. In bringing these two seemingly disparate phenomena together, we aim to shine a light on the unexpected connections that can emerge when we scrutinize the unlikeliest of pairings.
While the coupling of the "that's what she said" meme and geothermal power generation may raise more eyebrows than a celebrity tabloid headline, our preliminary research has led us to a statistically significant association that cannot be ignored. Through the lens of Google Trends data and the Energy Information Administration's records, we have teased out a correlation that elicits both amusement and genuine curiosity. Whether this connection is a mere fluke or a reflection of deeper societal trends remains to be fully understood, but our findings beckon us to ponder the intricate web of influences shaping our world.
In the following sections, we will first delve into the literature surrounding memes and renewable energy, offering a comprehensive review of existing theories and research. We will then detail our methodology, laying bare the intricacies of data collection, analysis, and the occasional perplexed stare at the screen. Subsequently, we will present our findings, showcasing the undeniable statistical relationship between the "that's what she said" meme and geothermal power production. Finally, we will discuss the implications of our discoveries, teasing apart the threads of humor and significance that weave through this curious tapestry.
So, fasten your seatbelts, dear readers, for what lies ahead is not just a scholarly exploration, but a journey into the unexpected, where humor and science collide in a delightful tango. After all, as the saying goes, "That's what she said," and that's also the direction this research is taking – into the uncharted realms of meme-powered geothermal musings. Let the puns and productivity flow!

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

The statistical analysis of the data collected from Google Trends and the Energy Information Administration revealed a striking correlation between the popularity of the "that's what she said" meme and geothermal power generation in Ethiopia. From 2006 to 2021, our findings unveiled a correlation coefficient of 0.8946427, suggesting a strong positive relationship between the two variables. Additionally, the coefficient of determination (r-squared) of 0.8003855 indicates that approximately 80% of the variability in geothermal power generation can be explained by the popularity of the meme. With a p-value < 0.01, we can confidently assert the statistical significance of this relationship.

To visually illustrate this unexpected correlation, we present Fig. 1, a scatterplot that unmistakably depicts the strong association between the 'that's what she said' meme popularity and geothermal power generation in Ethiopia. One can almost see the meme heat turning into geothermal power on this graph – talk about a hot topic!

The robustness of our findings challenges the conventional wisdom and beckons researchers to consider unconventional variables when studying energy generation. It's safe to say that our research has turned up the heat in the field of meme-energy relationships, proving once and for all that sometimes, unexpected pairings can yield surprising insights. Who would have thought that a cheeky double entendre could be linked to environmentally friendly power generation? This discovery truly illustrates the power of finding connections in unexpected places – that's what she said!

So, while we may have started this investigation with a chuckle, the results speak for themselves: the 'that's what she said' meme is more than just a punchline; it's a statistical powerhouse when it comes to geothermal power generation in Ethiopia.

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

Please make up the discussion section of an academic research paper presenting the findings of the connection between Popularity of the 'thats what she said' meme and Geothermal power generated in Ethiopia. Make lots of jokes, goofy observations, and puns.

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]]
"That's Hot: Exploring the Relationship Between the 'That's What She Said' Meme Popularity and Geothermal Power Generation in Ethiopia"

[[ABSTRACT]]
In this study, we delve into the fascinating world of memes and energy generation to explore the unexpected correlation between the popularity of the "that's what she said" meme and geothermal power production in Ethiopia. While this may sound like a punchline to a quirky joke, our findings reveal a statistically significant connection between the two seemingly unrelated phenomena. Using data from Google Trends and the Energy Information Administration, we employed rigorous statistical analysis to unveil a correlation coefficient of 0.8946427 and p < 0.01 from 2006 to 2021. Our results not only shed light on this unconventional relationship but also underscore the importance of considering unforeseen variables in energy research. So, the next time someone cracks a "that's what she said" joke, remember that it might just be heating up more than the conversation!

[[LITERATURE REVIEW]]
The relationship between the popularity of the "that's what she said" meme and geothermal power generation may seem absurd at first glance, but as we dive into the literature, we find that unexpected connections often lurk beneath the surface of seemingly unrelated phenomena.
Smith (2015) analyzed the cultural impact of memes on societal humor, delving into the psychological mechanisms that make certain phrases and images viral in the digital age. Doe (2018) conducted a comprehensive study on the renewable energy landscape of Ethiopia, emphasizing the potential of geothermal power as a sustainable resource. Likewise, Jones (2020) explored the ways in which internet memes reflect and influence contemporary culture, shedding light on their role as a form of expression and social commentary.
Moving beyond the immediate academic landscape, "The Power of Earth: Geothermal Energy Systems Explained" by Renewable Energy Institute (2019) provides a detailed overview of geothermal power generation, offering insights into its applications and potential for addressing energy needs. On the other hand, "Meme Magic: Unraveling the Mystery" by Internet Culture Research Group (2017) presents a lighthearted but comprehensive examination of the rise and influence of memes in the modern era, emphasizing their ability to shape discourse and behavior in unexpected ways.
In fiction literature, the works of J.R.R. Tolkien, particularly "The Lord of the Rings," offer allegorical explorations of power and influence – albeit in a fantasy realm far removed from our current research interests. Similarly, "The Hitchhiker's Guide to the Galaxy" by Douglas Adams whimsically navigates the absurdity of the universe, though its insights into geothermal power and memes may be, shall we say, tangential at best.
For a deeper understanding of the cultural significance of memes, our research delved into the delightful realm of children's shows and cartoons. "SpongeBob SquarePants" episodes featuring Patrick Star's iconic quotes provided valuable context on the rapid proliferation and adoption of catchphrases in popular culture. Additionally, "The Magic School Bus" episode on geothermal energy proved to be an unexpectedly informative source, serving as a playful primer on the Earth's inner heat.
With this eclectic mix of scholarly and unconventional sources, our literature review sets the stage for an exploration of the unorthodox but undeniably intriguing relationship between the "that's what she said" meme and geothermal power generation in Ethiopia. As we journey into this uncharted territory, we invite readers to embrace the unexpected and, quite possibly, the absurd. After all, in the words of the meme itself, "That's what she said." Let the scholarly shenanigans commence!

[[RESULTS]]
The statistical analysis of the data collected from Google Trends and the Energy Information Administration revealed a striking correlation between the popularity of the "that's what she said" meme and geothermal power generation in Ethiopia. From 2006 to 2021, our findings unveiled a correlation coefficient of 0.8946427, suggesting a strong positive relationship between the two variables. Additionally, the coefficient of determination (r-squared) of 0.8003855 indicates that approximately 80% of the variability in geothermal power generation can be explained by the popularity of the meme. With a p-value < 0.01, we can confidently assert the statistical significance of this relationship.
To visually illustrate this unexpected correlation, we present Fig. 1, a scatterplot that unmistakably depicts the strong association between the 'that's what she said' meme popularity and geothermal power generation in Ethiopia. One can almost see the meme heat turning into geothermal power on this graph – talk about a hot topic!
The robustness of our findings challenges the conventional wisdom and beckons researchers to consider unconventional variables when studying energy generation. It's safe to say that our research has turned up the heat in the field of meme-energy relationships, proving once and for all that sometimes, unexpected pairings can yield surprising insights. Who would have thought that a cheeky double entendre could be linked to environmentally friendly power generation? This discovery truly illustrates the power of finding connections in unexpected places – that's what she said!
So, while we may have started this investigation with a chuckle, the results speak for themselves: the 'that's what she said' meme is more than just a punchline; it's a statistical powerhouse when it comes to geothermal power generation in Ethiopia.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

Our investigation into the relationship between the "that's what she said" meme and geothermal power generation in Ethiopia has unearthed a strikingly robust association between these seemingly disparate phenomena. As we delve into the implications of our findings, we cannot help but marvel at the unexpected significance of a phrase that has permeated pop culture in the most unforeseen of ways. It appears that the meme, much like the Earth's geothermal energy, is capable of generating substantial heat – both in conversation and in power production.

Drawing from the rich tapestry of literature, we can see that the ludicrous bond between memes and energy sources is not as far-fetched as it may initially seem. Smith's (2015) analysis of the cultural impact of memes hints at their pervasive influence in shaping societal discourse, much like the underlying forces that lead to the generation of geothermal power. Furthermore, Doe's (2018) exploration of renewable energy in Ethiopia provides a solid foundation for understanding the context in which geothermal energy operates, paving the way for our unexpected revelation. Our results provide empirical support for these prior studies, underscoring the interconnectedness of seemingly unrelated domains.

Moreover, the scatterplot presented in our results vividly captures the pronounced correlation between meme popularity and geothermal power production, reminiscent of a graph illustrating the rising temperature of a sizzling punchline. It is clear from the data that the 'that's what she said' meme exerts a significant influence on the generation of geothermal power in Ethiopia, demonstrating that the power of a well-timed innuendo can extend far beyond the bounds of mere amusement.

As we bask in the glow of our findings, it becomes evident that our research has illuminated a heretofore overlooked dimension of energy dynamics. The inextricable link between the 'that's what she said' meme and geothermal power generation challenges traditional paradigms in energy research, beckoning scholars to embrace the unexpected and, dare we say, the punny. This discovery exemplifies the adage that sometimes, the most unforeseen pairings can yield the most captivating insights – a sentiment that echoes the essence of the meme itself.

In conclusion, our study uncovers an unconventional but undeniably potent relationship between the 'that's what she said' meme and geothermal power generation in Ethiopia. This revelation not only invites us to rethink the interplay of cultural phenomena and sustainable energy sources but also reminds us that, in the grand absurdity of life, unexpected connections may hold the key to unlocking transformative discoveries. So, the next time someone utters those familiar words, "that's what she said," let us remember that behind the laughter lies a complex interplay of cultural influence and environmental impact. After all, as researchers, it is our solemn duty to uncover the heat – pun intended – in even the most unexpected of places.

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

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Popularity of the 'thats what she said' meme and Geothermal power generated in Ethiopia. Make lots of jokes, goofy observations, and puns.

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]]
"That's Hot: Exploring the Relationship Between the 'That's What She Said' Meme Popularity and Geothermal Power Generation in Ethiopia"

[[ABSTRACT]]
In this study, we delve into the fascinating world of memes and energy generation to explore the unexpected correlation between the popularity of the "that's what she said" meme and geothermal power production in Ethiopia. While this may sound like a punchline to a quirky joke, our findings reveal a statistically significant connection between the two seemingly unrelated phenomena. Using data from Google Trends and the Energy Information Administration, we employed rigorous statistical analysis to unveil a correlation coefficient of 0.8946427 and p < 0.01 from 2006 to 2021. Our results not only shed light on this unconventional relationship but also underscore the importance of considering unforeseen variables in energy research. So, the next time someone cracks a "that's what she said" joke, remember that it might just be heating up more than the conversation!

[[INTRDUCTION]]
The intersection of memes and energy generation has long been an unexplored territory in academia, but thanks to the ever-curious nature of researchers and the boundless possibilities of the internet, we find ourselves embarking on a quest to uncover the unexpected link between the "that's what she said" meme and geothermal power production in Ethiopia. While one may be quick to dismiss this connection as a mere coincidence or a product of delirious late-night data crunching, the evidence we present in this paper forces us to take it seriously – with a good-natured grin, of course.
As the technological landscape and social media have woven themselves into the fabric of our daily lives, memes have become a thriving form of cultural expression, providing humor, commentary, and sometimes even unintentional data points for researchers. The "that's what she said" meme, often used as a cringe-worthy one-liner in jest, has permeated popular culture to such an extent that it deserves a close examination beyond its comedic value. Conversely, geothermal power, harnessing the Earth's natural heat to generate electricity, represents a sustainable and environmentally-friendly energy source that often takes a backseat in discussions of renewable energy. In bringing these two seemingly disparate phenomena together, we aim to shine a light on the unexpected connections that can emerge when we scrutinize the unlikeliest of pairings.
While the coupling of the "that's what she said" meme and geothermal power generation may raise more eyebrows than a celebrity tabloid headline, our preliminary research has led us to a statistically significant association that cannot be ignored. Through the lens of Google Trends data and the Energy Information Administration's records, we have teased out a correlation that elicits both amusement and genuine curiosity. Whether this connection is a mere fluke or a reflection of deeper societal trends remains to be fully understood, but our findings beckon us to ponder the intricate web of influences shaping our world.
In the following sections, we will first delve into the literature surrounding memes and renewable energy, offering a comprehensive review of existing theories and research. We will then detail our methodology, laying bare the intricacies of data collection, analysis, and the occasional perplexed stare at the screen. Subsequently, we will present our findings, showcasing the undeniable statistical relationship between the "that's what she said" meme and geothermal power production. Finally, we will discuss the implications of our discoveries, teasing apart the threads of humor and significance that weave through this curious tapestry.
So, fasten your seatbelts, dear readers, for what lies ahead is not just a scholarly exploration, but a journey into the unexpected, where humor and science collide in a delightful tango. After all, as the saying goes, "That's what she said," and that's also the direction this research is taking – into the uncharted realms of meme-powered geothermal musings. Let the puns and productivity flow!

[[RESULTS]]
The statistical analysis of the data collected from Google Trends and the Energy Information Administration revealed a striking correlation between the popularity of the "that's what she said" meme and geothermal power generation in Ethiopia. From 2006 to 2021, our findings unveiled a correlation coefficient of 0.8946427, suggesting a strong positive relationship between the two variables. Additionally, the coefficient of determination (r-squared) of 0.8003855 indicates that approximately 80% of the variability in geothermal power generation can be explained by the popularity of the meme. With a p-value < 0.01, we can confidently assert the statistical significance of this relationship.
To visually illustrate this unexpected correlation, we present Fig. 1, a scatterplot that unmistakably depicts the strong association between the 'that's what she said' meme popularity and geothermal power generation in Ethiopia. One can almost see the meme heat turning into geothermal power on this graph – talk about a hot topic!
The robustness of our findings challenges the conventional wisdom and beckons researchers to consider unconventional variables when studying energy generation. It's safe to say that our research has turned up the heat in the field of meme-energy relationships, proving once and for all that sometimes, unexpected pairings can yield surprising insights. Who would have thought that a cheeky double entendre could be linked to environmentally friendly power generation? This discovery truly illustrates the power of finding connections in unexpected places – that's what she said!
So, while we may have started this investigation with a chuckle, the results speak for themselves: the 'that's what she said' meme is more than just a punchline; it's a statistical powerhouse when it comes to geothermal power generation in Ethiopia.

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Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our study has illuminated the previously overlooked connection between the "that's what she said" meme and geothermal power generation in Ethiopia. While some may think we've been conducting research just for the pun of it, our statistically significant correlation coefficient of 0.8946427 and p < 0.01 from 2006 to 2021 indicates that there's much more to this meme than meets the eye – or the punchline.

Our findings imply that next time someone drops a "that's what she said" joke, it might just be sparking more than laughter; it could be igniting renewable energy production in Ethiopia. It's as if Michael Scott's catchphrase from "The Office" is echoing through the geothermal wells of the Ethiopian landscape, saying, "That's hot!"

Our research opens the door to a world of meme-based renewable energy strategies. Perhaps we'll soon see power plants powered by the collective groans and snickers of meme enthusiasts worldwide. Imagine capturing the energy from eye rolls at dad jokes - now that's a power source!

However, as tempting as it is to keep exploring this, we contend that no further research is needed in this particular area. After all, how many more "that's what she said" puns can one paper handle? It's time to heed the timeless wisdom of the meme itself and say, "That's enough!"

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 That's Hot: Exploring the Relationship Between the 'That's What She Said' Meme Popularity and Geothermal Power Generation in Ethiopia. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Memes and Energy 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 That's Hot: Exploring the Relationship Between the 'That's What She Said' Meme Popularity and Geothermal Power Generation in Ethiopia. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Absurd Research Endeavors and Discoveries (SARED)

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 That's Hot: Exploring the Relationship Between the 'That's What She Said' Meme Popularity and Geothermal Power Generation in Ethiopia with an abstract of In this study, we delve into the fascinating world of memes and energy generation to explore the unexpected correlation between the popularity of the "that's what she said" meme and geothermal power production in Ethiopia. While this may sound like a punchline to a quirky joke, our findings reveal a statistically significant connection between the two seemingly unrelated phenomena. Using data from Google Trends and the Energy Information Administration, we employed rigorous statistical analysis to unveil a correlation coefficient of 0.8946427 and p < 0.01 from 2006 to 2021. Our results not only shed light on this unconventional relationship but also underscore the importance of considering unforeseen variables in energy research. So, the next time someone cracks a "that's what she said" joke, remember that it might just be heating up more than the conversation!

ChatGPT:

"That's What She Said" meme, geothermal power generation, Ethiopia, meme popularity, energy production, correlation, statistical analysis, Google Trends, Energy Information Administration, unforeseen variables, unconventional relationship

*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.

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Data details

Popularity of the 'thats what she said' meme
Detailed data title: Relative volume of Google searches for 'thats what she said' (without quotes, in the United States)
Source: Google Trends
Additional Info: ^{See full details} Relative search volume is a unique Google thing; the shape of the chart is accurate but the actual numbers are meaningless.

See what else correlates with Popularity of the 'thats what she said' meme

Geothermal power generated in Ethiopia
Detailed data title: Total geothermal power generated in Ethiopia in billion kWh
Source: Energy Information Administration
See what else correlates with Geothermal power generated in Ethiopia

Correlation r = 0.8946427 (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 = 0.8003855 (Coefficient of determination)
This means 80% of the change in the one variable (i.e., Geothermal power generated in Ethiopia) is predictable based on the change in the other (i.e., Popularity of the 'thats what she said' meme) over the 16 years from 2006 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 2.9E-6.^Show 0.0000029125183013994230000000
The p-value is a measure of how probable it is that we would randomly find a result this extreme.^Note More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.

But I am a p-villain. I absolutely did not test only one pair of variables one time. I correlated hundreds of millions of pairs of variables. I threw boatloads of data into an industrial-sized blender to find this correlation.

Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.89 in 0.00029% of random cases. Said differently, if you correlated 343,345 random variables^Note You don't actually need 343 thousand variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.

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

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

Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 15 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 15 because we have two variables measured over a period of 16 years. It's just the number of years minus ( the number of variables minus one ), which in this case simplifies to the number of years minus one.
you would randomly expect to find a correlation as strong as this one.

[ 0.72, 0.96 ] 95% correlation confidence interval (using the Fisher z-transformation)
^{Read more about the confidence interval} The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

This one is a bit more complciated than the other calculations, but I include it because many people have been pushing for confidence intervals instead of p-value calculations (for example: NEJM. However, if you are dredging data, you can reliably find yourself in the 5%. That's my goal!

All values for the years included above: ^Note If I were being very sneaky, I could trim years from the beginning or end of the datasets to increase the correlation on some pairs of variables. I don't do that because there are already plenty of correlations in my database without monkeying with the years.

Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.

	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021
Popularity of the 'thats what she said' meme (Relative popularity)	3	17.8333	32.5	33.4167	41.4167	19.8333	13.3333	10.5833	9.5	9.75	9.16667	11.1667	14	14.25	11	10.25
Geothermal power generated in Ethiopia (Billion kWh)	0	0	0.014	0.024	0.018	0.008	0.008	0.0001	0.0001	0.0001	0.0001	0.0001	0.0001	0.0001	0.0001	0.0001

Why this works

Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
Lack of causal connection: There is probably^Note Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple^Note Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is.

Try it yourself

You can calculate the values on this page on your own! Try running the Python code to see the calculation results. ^{Show the steps to do this.} Step 1: Download and install Python on your computer.

Step 2: Open a plaintext editor like Notepad and paste the code below into it.

Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"

Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.

Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.

Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.

Step 7: Run the Python script by typing "python calculate_correlation.py"

If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:

"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."

# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats

# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):

    # Calculate Pearson correlation coefficient and p-value
    correlation, p_value = stats.pearsonr(array1, array2)

    # Calculate R-squared as the square of the correlation coefficient
    r_squared = correlation**2

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([3,17.8333,32.5,33.4167,41.4167,19.8333,13.3333,10.5833,9.5,9.75,9.16667,11.1667,14,14.25,11,10.25,])
array_2 = np.array([0,0,0.014,0.024,0.018,0.008,0.008,0.0001,0.0001,0.0001,0.0001,0.0001,0.0001,0.0001,0.0001,0.0001,])
array_1_name = "Popularity of the 'thats what she said' meme"
array_2_name = "Geothermal power generated in Ethiopia"

# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)

# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)

Reuseable content

You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. ^Note Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.

You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.

For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."

When spoken, my last name is pronounced "vegan," like I don't eat meat.

Full license details.
For more on re-use permissions, or to get a signed release form, see tylervigen.com/permission.

Download images for these variables:

High resolution line chart ^Note The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.

If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.

Alternatively you can use a tool like Inkscape.
High resolution line chart, optimized for mobile
Alternative high resolution line chart
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Portable line chart (png), optimized for mobile
Line chart for only Popularity of the 'thats what she said' meme
Line chart for only Geothermal power generated in Ethiopia
AI-generated correlation image
The spurious research paper: That's Hot: Exploring the Relationship Between the 'That's What She Said' Meme Popularity and Geothermal Power Generation in Ethiopia

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Correlation ID: 4991 · Black Variable ID: 25169 · Red Variable ID: 23661


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