Download png, svg
AI explanation
The excessive splashing from all the hydropower turbines is creating a soothing white noise effect, lulling people into a state of constant drowsiness. It's like the whole country is at a relaxing water park, but without any of the fun or excitement.
Model: dalle-3
Prompt: [ An image that looks like it is a scene from 'Star Wars' ] Generate an image of a vast, otherworldly planet with a powerful waterfall flowing vigorously into a sparkling river. A looming hydroelectric plant with a massive water wheel is positioned at the base of the waterfall. In the foreground, a group of exhausted individuals sits around a weathered table, hunched over their phones, searching for "I am tired." The scene is surrounded by scattered, colorful paper with water-themed puns scribbled on them. The ambiance is one of weary tranquility as the people rest under the grandeur of the natural landscape. 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: Hydopower energy generated in Sierra Leone and Google searches for 'i am tired'. 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: An image that looks like it is a scene from 'Star Wars' Data cyber art Steampunk Vaporwave A comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s
ChatGPT: An image that looks like it is a scene from 'Star Wars'
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 Hydopower energy generated in Sierra Leone and Google searches for 'i am tired', in the following situation: The surge in hydroelectricity production led to a massive spike in water-related puns, leaving people exhausted from all the "current" events!. Keep the description simple.
ChatGPT: In Sierra Leone, a powerful waterfall flows vigorously, turning the water wheel of a hydroelectric plant. Nearby, people are seen sitting around a table, looking tired and drained as they search for "I am tired" on their phones, surrounded by water-themed puns scribbled on colorful paper.
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: [ An image that looks like it is a scene from 'Star Wars' ] and depicting this scene: In Sierra Leone, a powerful waterfall flows vigorously, turning the water wheel of a hydroelectric plant. Nearby, people are seen sitting around a table, looking tired and drained as they search for "I am tired" on their phones, surrounded by water-themed puns scribbled on colorful paper. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: [ An image that looks like it is a scene from 'Star Wars' ] Generate an image of a vast, otherworldly planet with a powerful waterfall flowing vigorously into a sparkling river. A looming hydroelectric plant with a massive water wheel is positioned at the base of the waterfall. In the foreground, a group of exhausted individuals sits around a weathered table, hunched over their phones, searching for "I am tired." The scene is surrounded by scattered, colorful paper with water-themed puns scribbled on them. The ambiance is one of weary tranquility as the people rest under the grandeur of the natural landscape.
*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.
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 Hydopower energy generated in Sierra Leone caused i am tired (Google searches for 'i am tired') to increase.
AI academic paper
 |
Chronic Fatigue or Hydroelectric Brute? The Link between Hydropower in Sierra Leone and Google Searches for 'I Am Tired' The Journal of Energy and Exhaustion Studies Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You write titles and abstracts of goofy academic research papers.
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, and add unexpected twists in your writing.
Please draft the title and abstract of an academic research paper presenting the findings of the connection between Hydopower energy generated in Sierra Leone and Google searches for 'i am tired'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Rhyme words in the title.
Your research team used data from Energy Information Administration and Google Trends to assess this nagging question. You found a correlation coefficient of 0.9602440 and p < 0.01 for 2004 to 2021.
Please respond in this format (replace "Lorem ipsum dolor sit" with your title and abstract)
[[TITLE]]
Lorem ipsum dolor sit
[[ABSTRACT]]
Lorem ipsum dolor sit
ChatGPT:
[[TITLE]]
"Chronic Fatigue or Hydroelectric Brute? The Link between Hydropower in Sierra Leone and Google Searches for 'I Am Tired'"
[[ABSTRACT]]
This study explores the curious connection between the generation of hydroelectric power in Sierra Leone and the frequency of Google searches for "I Am Tired." By utilizing data from the Energy Information Administration and Google Trends, we applied rigorous statistical analysis to examine this seemingly perplexing relationship. Our findings revealed a strikingly high correlation coefficient of 0.9602440 and a p-value less than 0.01 for the period spanning from 2004 to 2021. This humorous correlation, though initially surprising, underscores the importance of considering environmental and societal influences on public sentiment. While the results do not provide a definitive answer, they do shed light on the amusing coincidences that can arise when examining unexpected connections.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the introduction 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 introduction section of an academic research paper presenting the findings of the connection between Hydopower energy generated in Sierra Leone and Google searches for 'i am tired'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Here is the title and abstract of the paper:
[[TITLE]]
"Chronic Fatigue or Hydroelectric Brute? The Link between Hydropower in Sierra Leone and Google Searches for 'I Am Tired'"
[[ABSTRACT]]
This study explores the curious connection between the generation of hydroelectric power in Sierra Leone and the frequency of Google searches for "I Am Tired." By utilizing data from the Energy Information Administration and Google Trends, we applied rigorous statistical analysis to examine this seemingly perplexing relationship. Our findings revealed a strikingly high correlation coefficient of 0.9602440 and a p-value less than 0.01 for the period spanning from 2004 to 2021. This humorous correlation, though initially surprising, underscores the importance of considering environmental and societal influences on public sentiment. While the results do not provide a definitive answer, they do shed light on the amusing coincidences that can arise when examining unexpected connections.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
INTRODUCTION
The interplay between energy generation and human behavior has long been a subject of interest in various fields, from environmental economics to behavioral psychology. In recent years, the advent of big data and advanced analytical tools has allowed researchers to delve deeper into understanding the complex dynamics between societal patterns and environmental factors. This study contributes to this evolving landscape by examining the correlation between the production of hydroelectric power in Sierra Leone and the frequency of Google searches for "I Am Tired." Despite the seemingly whimsical nature of this investigation, the findings may shed light on broader implications for both energy policy and public wellness.
The West African nation of Sierra Leone, abundantly blessed with natural resources, has made significant strides in harnessing its hydroelectric potential in recent decades. With the commissioning of the Bumbuna Hydroelectric Power Station in 2009 and subsequent expansion projects, the country has seen a noteworthy increase in its capacity to generate electricity through this renewable energy source. Meanwhile, the global prevalence of "I Am Tired" as a colloquial Google search term has piqued curiosity due to its seemingly mundane yet widespread usage as an expression of weariness or fatigue.
The juxtaposition of these two seemingly disparate phenomena begs the question: could there be an underlying relationship between the generation of hydroelectric power and the expression of fatigue? Intriguingly, our preliminary analysis of comprehensive data sets spanning nearly two decades revealed a surprisingly strong correlation, prompting further investigation into this quirk of empirical data. While it may be tempting to dismiss this correlation as a mere statistical coincidence, the potential implications warrant a closer examination of the underlying factors at play.
From a methodological standpoint, our research applies rigorous statistical analysis to explore this unexpected relationship. Leveraging data from the Energy Information Administration, we conducted time series analysis and regression modeling to assess the temporal patterns of hydroelectric power generation in Sierra Leone. Concurrently, we utilized Google Trends data to quantify the frequency and relative interest in the search term "I Am Tired" within the country. The subsequent statistical tests not only revealed a remarkably high correlation coefficient but also provided insights into the potential spatiotemporal dynamics underlying this association.
As we embark on this scholarly exploration, it is crucial to acknowledge the lighthearted demeanor of the inquiry. While the pursuit of knowledge often leads us down conventional paths, there is value in embracing the occasional detour to uncover unexpected insights. In this spirit, we invite our readers to join us in unraveling the mysteries of this perplexing correlation, recognizing that even the most seemingly whimsical connections can illuminate broader themes of human behavior and societal influences. In doing so, we hope to strike a balance between academic rigor and a sense of wonder, recognizing that scholarly pursuits can be as entertaining as they are enlightening.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.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 Hydopower energy generated in Sierra Leone and Google searches for 'i am tired'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, 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 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]]
"Chronic Fatigue or Hydroelectric Brute? The Link between Hydropower in Sierra Leone and Google Searches for 'I Am Tired'"
[[ABSTRACT]]
This study explores the curious connection between the generation of hydroelectric power in Sierra Leone and the frequency of Google searches for "I Am Tired." By utilizing data from the Energy Information Administration and Google Trends, we applied rigorous statistical analysis to examine this seemingly perplexing relationship. Our findings revealed a strikingly high correlation coefficient of 0.9602440 and a p-value less than 0.01 for the period spanning from 2004 to 2021. This humorous correlation, though initially surprising, underscores the importance of considering environmental and societal influences on public sentiment. While the results do not provide a definitive answer, they do shed light on the amusing coincidences that can arise when examining unexpected connections.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
INTRODUCTION
The interplay between energy generation and human behavior has long been a subject of interest in various fields, from environmental economics to behavioral psychology. In recent years, the advent of big data and advanced analytical tools has allowed researchers to delve deeper into understanding the complex dynamics between societal patterns and environmental factors. This study contributes to this evolving landscape by examining the correlation between the production of hydroelectric power in Sierra Leone and the frequency of Google searches for "I Am Tired." Despite the seemingly whimsical nature of this investigation, the findings may shed light on broader implications for both energy policy and public wellness.
The West African nation of Sierra Leone, abundantly blessed with natural resources, has made significant strides in harnessing its hydroelectric potential in recent decades. With the commissioning of the Bumbuna Hydroelectric Power Station in 2009 and subsequent expansion projects, the country has seen a noteworthy increase in its capacity to generate electricity through this renewable energy source. Meanwhile, the global prevalence of "I Am Tired" as a colloquial Google search term has piqued curiosity due to its seemingly mundane yet widespread usage as an expression of weariness or fatigue.
The juxtaposition of these two seemingly disparate phenomena begs the question: could there be an underlying relationship between the generation of hydroelectric power and the expression of fatigue? Intriguingly, our preliminary analysis of comprehensive data sets spanning nearly two decades revealed a surprisingly strong correlation, prompting further investigation into this quirk of empirical data. While it may be tempting to dismiss this correlation as a mere statistical coincidence, the potential implications warrant a closer examination of the underlying factors at play.
From a methodological standpoint, our research applies rigorous statistical analysis to explore this unexpected relationship. Leveraging data from the Energy Information Administration, we conducted time series analysis and regression modeling to assess the temporal patterns of hydroelectric power generation in Sierra Leone. Concurrently, we utilized Google Trends data to quantify the frequency and relative interest in the search term "I Am Tired" within the country. The subsequent statistical tests not only revealed a remarkably high correlation coefficient but also provided insights into the potential spatiotemporal dynamics underlying this association.
As we embark on this scholarly exploration, it is crucial to acknowledge the lighthearted demeanor of the inquiry. While the pursuit of knowledge often leads us down conventional paths, there is value in embracing the occasional detour to uncover unexpected insights. In this spirit, we invite our readers to join us in unraveling the mysteries of this perplexing correlation, recognizing that even the most seemingly whimsical connections can illuminate broader themes of human behavior and societal influences. In doing so, we hope to strike a balance between academic rigor and a sense of wonder, recognizing that scholarly pursuits can be as entertaining as they are enlightening.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
The curious correlation between hydroelectric power generation in Sierra Leone and the frequency of Google searches for "I Am Tired" has stirred scholarly interest in recent years. This literature review surveys a range of studies and sources to contextualize and interpret this unexpected relationship.
First, Smith et al. (2015) examined the societal impacts of renewable energy development in West Africa, focusing on the case of Sierra Leone. Their study highlighted the potential for hydroelectric projects to improve access to electricity and stimulate economic growth, yet it did not delve into the peculiar link between fatigue and energy generation. Building on this, Doe (2018) conducted a comprehensive analysis of search engine queries in developing nations, noting common phrases related to physical and mental well-being. However, the study did not specifically explore the confluence of hydroelectric power and expressions of exhaustion in Sierra Leone.
To expand the scope, Jones (2019) investigated the psychosocial implications of energy infrastructure development, emphasizing the need for holistic approaches to address public health concerns. While the study underscored the interconnectedness of environmental policies and psychological well-being, it did not venture into the realm of internet search trends concerning fatigue.
In the realm of non-fiction literature, "Energy, Society, and Environment" by Danko (2017) provides a comprehensive overview of the socio-environmental dynamics of energy production, offering insightful perspectives on the interplay between power generation and societal well-being. Similarly, "The Psychology of Exhaustion" by Reston (2020) delves into the multifaceted nature of fatigue and its implications for individual and collective behavior, shedding light on the complexities of exhaustion as a psychological and physiological phenomenon.
Venturing into the realm of fiction, "The Tired Adventures of Captain Sierra" by Windham (2016) offers a whimsical narrative set in the lush landscapes of Sierra Leone, exploring themes of perseverance and weariness in a captivating tale of adventure. While not directly related to the empirical investigation at hand, such literary works echo the themes of fatigue that pervade the cultural consciousness.
Beyond traditional academic sources, the authors took a less conventional approach to gather insights, including a lighthearted walk through the aisles of a fictional library, where titles like "The Exhausted Explorer's Guide to Hydroelectricity" and "Tired Tales of the Tumbling Turbines" presented themselves as amusingly ironic yet entirely unrelated resources. Moreover, the authors must confess to conducting an exhaustive review of the backs of shampoo bottles, hoping to glean unconventional wisdom hidden in the fine print.
As we navigate this peculiar terrain of academic inquiry, it becomes evident that while the confluence of energy generation and weariness may seem whimsical, the intersection of environmental and societal influences holds promise for novel discoveries. This literature review sets the stage for our investigation into the enigmatic connection between hydroelectric power in Sierra Leone and the expression of fatigue, inviting readers to embrace curiosity and humor in the pursuit of scholarly insights.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.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 Hydopower energy generated in Sierra Leone and Google searches for 'i am tired'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Your research team collected data from all across the internet, but mostly just used information from Energy Information Administration and Google Trends . You used data from 2004 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]]
"Chronic Fatigue or Hydroelectric Brute? The Link between Hydropower in Sierra Leone and Google Searches for 'I Am Tired'"
[[ABSTRACT]]
This study explores the curious connection between the generation of hydroelectric power in Sierra Leone and the frequency of Google searches for "I Am Tired." By utilizing data from the Energy Information Administration and Google Trends, we applied rigorous statistical analysis to examine this seemingly perplexing relationship. Our findings revealed a strikingly high correlation coefficient of 0.9602440 and a p-value less than 0.01 for the period spanning from 2004 to 2021. This humorous correlation, though initially surprising, underscores the importance of considering environmental and societal influences on public sentiment. While the results do not provide a definitive answer, they do shed light on the amusing coincidences that can arise when examining unexpected connections.
[[INTRODUCTION]]
INTRODUCTION
The interplay between energy generation and human behavior has long been a subject of interest in various fields, from environmental economics to behavioral psychology. In recent years, the advent of big data and advanced analytical tools has allowed researchers to delve deeper into understanding the complex dynamics between societal patterns and environmental factors. This study contributes to this evolving landscape by examining the correlation between the production of hydroelectric power in Sierra Leone and the frequency of Google searches for "I Am Tired." Despite the seemingly whimsical nature of this investigation, the findings may shed light on broader implications for both energy policy and public wellness.
The West African nation of Sierra Leone, abundantly blessed with natural resources, has made significant strides in harnessing its hydroelectric potential in recent decades. With the commissioning of the Bumbuna Hydroelectric Power Station in 2009 and subsequent expansion projects, the country has seen a noteworthy increase in its capacity to generate electricity through this renewable energy source. Meanwhile, the global prevalence of "I Am Tired" as a colloquial Google search term has piqued curiosity due to its seemingly mundane yet widespread usage as an expression of weariness or fatigue.
The juxtaposition of these two seemingly disparate phenomena begs the question: could there be an underlying relationship between the generation of hydroelectric power and the expression of fatigue? Intriguingly, our preliminary analysis of comprehensive data sets spanning nearly two decades revealed a surprisingly strong correlation, prompting further investigation into this quirk of empirical data. While it may be tempting to dismiss this correlation as a mere statistical coincidence, the potential implications warrant a closer examination of the underlying factors at play.
From a methodological standpoint, our research applies rigorous statistical analysis to explore this unexpected relationship. Leveraging data from the Energy Information Administration, we conducted time series analysis and regression modeling to assess the temporal patterns of hydroelectric power generation in Sierra Leone. Concurrently, we utilized Google Trends data to quantify the frequency and relative interest in the search term "I Am Tired" within the country. The subsequent statistical tests not only revealed a remarkably high correlation coefficient but also provided insights into the potential spatiotemporal dynamics underlying this association.
As we embark on this scholarly exploration, it is crucial to acknowledge the lighthearted demeanor of the inquiry. While the pursuit of knowledge often leads us down conventional paths, there is value in embracing the occasional detour to uncover unexpected insights. In this spirit, we invite our readers to join us in unraveling the mysteries of this perplexing correlation, recognizing that even the most seemingly whimsical connections can illuminate broader themes of human behavior and societal influences. In doing so, we hope to strike a balance between academic rigor and a sense of wonder, recognizing that scholarly pursuits can be as entertaining as they are enlightening.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
METHODOLOGY
In pursuit of unraveling the enigmatic connection between hydroelectric power generation in Sierra Leone and the frequency of Google searches for "I Am Tired," our research team undertook a multifaceted approach that was as rigorous as it was jovial. The methodology employed a blend of statistical analysis, data mining, and a healthy dose of curiosity to delve into the spatiotemporal intricacies of this unexpected correlation.
Data Gathering and Processing
To commence this lighthearted yet scholarly pursuit, we marshaled data from the Energy Information Administration (EIA) to obtain comprehensive records of hydroelectric power generation in Sierra Leone from 2004 to 2021. This data, though devoid of expressions such as "yawn-inducing" or "tired to the H 2 O," provided the foundation for assessing the temporal patterns and magnitude of hydroelectric energy production within the country.
Meanwhile, we ventured into the untamed wilderness of the internet, where Google Trends became our guide in quantifying the relative frequency and interest in the search term "I Am Tired" within the borders of Sierra Leone. This quest through the digital savannah unearthed an impressive trove of data that mirrored the collective yawning and eye-rubbing habits of the populace, albeit in a figurative sense.
Statistical Analysis
Having amassed these veritable treasures of data, we sought to discern any underlying relationship between hydroelectric power generation and communal expressions of fatigue. To accomplish this, we harnessed the powers of time series analysis and regression modeling, casting a statistical net wide enough to capture even the most elusive correlations. These analytical tools, though not typically associated with lighthearted banter, proved indispensable in teasing out the temporal and quantitative nuances of the observed correlation.
Blending Art with Science
As we meticulously sifted through the data, it became increasingly apparent that this scholarly endeavor was a narrative fit for a whimsical yarn. It was equally a delightful confluence of data-driven inquiry and the occasional chuckle at the quirks of empirical evidence. Though not explicitly stated in the scholarly literature, the laughter of scholarly pursuit is an underappreciated yet vital component of the academic process.
In the spirit of this spirited jamboree, we welcomed the unexpected insights and peculiarities that infused our research journey. This approach, while unconventional in academic circles, sought to strike a balance between serious inquiry and the gentle whimsy that permeates the pursuit of knowledge. After all, a lighthearted detour can lead to revelations as profound as a well-trodden path.
In summary, the methodology employed in this study embraced a diverse array of tools, ranging from statistical analysis to the serendipitous uncovering of unexpected correlations. With the proper blend of academic rigor and a dash of playfulness, our approach sought to discern the tangled web of hydroelectric power and communal weariness that lay disguised within empirical data. In doing so, we honored the scholarly tradition of pursuing knowledge while embracing the mirth that accompanies unearthing the unexpected.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.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 Hydopower energy generated in Sierra Leone and Google searches for 'i am tired'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Your research team collected data from all across the internet, but mostly just used information from Energy Information Administration and Google Trends .
For the time period 2004 to 2021, you found a correlation 0.9602440, r-squared of 0.9220685, 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]]
"Chronic Fatigue or Hydroelectric Brute? The Link between Hydropower in Sierra Leone and Google Searches for 'I Am Tired'"
[[ABSTRACT]]
This study explores the curious connection between the generation of hydroelectric power in Sierra Leone and the frequency of Google searches for "I Am Tired." By utilizing data from the Energy Information Administration and Google Trends, we applied rigorous statistical analysis to examine this seemingly perplexing relationship. Our findings revealed a strikingly high correlation coefficient of 0.9602440 and a p-value less than 0.01 for the period spanning from 2004 to 2021. This humorous correlation, though initially surprising, underscores the importance of considering environmental and societal influences on public sentiment. While the results do not provide a definitive answer, they do shed light on the amusing coincidences that can arise when examining unexpected connections.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
INTRODUCTION
The interplay between energy generation and human behavior has long been a subject of interest in various fields, from environmental economics to behavioral psychology. In recent years, the advent of big data and advanced analytical tools has allowed researchers to delve deeper into understanding the complex dynamics between societal patterns and environmental factors. This study contributes to this evolving landscape by examining the correlation between the production of hydroelectric power in Sierra Leone and the frequency of Google searches for "I Am Tired." Despite the seemingly whimsical nature of this investigation, the findings may shed light on broader implications for both energy policy and public wellness.
The West African nation of Sierra Leone, abundantly blessed with natural resources, has made significant strides in harnessing its hydroelectric potential in recent decades. With the commissioning of the Bumbuna Hydroelectric Power Station in 2009 and subsequent expansion projects, the country has seen a noteworthy increase in its capacity to generate electricity through this renewable energy source. Meanwhile, the global prevalence of "I Am Tired" as a colloquial Google search term has piqued curiosity due to its seemingly mundane yet widespread usage as an expression of weariness or fatigue.
The juxtaposition of these two seemingly disparate phenomena begs the question: could there be an underlying relationship between the generation of hydroelectric power and the expression of fatigue? Intriguingly, our preliminary analysis of comprehensive data sets spanning nearly two decades revealed a surprisingly strong correlation, prompting further investigation into this quirk of empirical data. While it may be tempting to dismiss this correlation as a mere statistical coincidence, the potential implications warrant a closer examination of the underlying factors at play.
From a methodological standpoint, our research applies rigorous statistical analysis to explore this unexpected relationship. Leveraging data from the Energy Information Administration, we conducted time series analysis and regression modeling to assess the temporal patterns of hydroelectric power generation in Sierra Leone. Concurrently, we utilized Google Trends data to quantify the frequency and relative interest in the search term "I Am Tired" within the country. The subsequent statistical tests not only revealed a remarkably high correlation coefficient but also provided insights into the potential spatiotemporal dynamics underlying this association.
As we embark on this scholarly exploration, it is crucial to acknowledge the lighthearted demeanor of the inquiry. While the pursuit of knowledge often leads us down conventional paths, there is value in embracing the occasional detour to uncover unexpected insights. In this spirit, we invite our readers to join us in unraveling the mysteries of this perplexing correlation, recognizing that even the most seemingly whimsical connections can illuminate broader themes of human behavior and societal influences. In doing so, we hope to strike a balance between academic rigor and a sense of wonder, recognizing that scholarly pursuits can be as entertaining as they are enlightening.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The results of our analysis revealed a remarkably strong correlation between the generation of hydroelectric power in Sierra Leone and the frequency of Google searches for "I Am Tired" during the period spanning from 2004 to 2021. The correlation coefficient of 0.9602440 indicates a robust positive relationship between these seemingly unrelated variables. Furthermore, the coefficient of determination (r-squared) of 0.9220685 suggests that approximately 92% of the variation in Google searches for "I Am Tired" can be explained by the variation in hydropower energy generation. The statistical significance, with a p-value of less than 0.01, underscores the reliability of the observed relationship.
Upon visual inspection of the data, the strength of the correlation is further highlighted by the scatterplot displayed in Figure 1. The scatterplot demonstrates the tight clustering of data points around a clear upward trend, symbolizing the synchronous fluctuations between hydroelectric power production and the frequency of "I Am Tired" searches. The figure serves as a visual testament to the surprising consonance between these variables, inviting both scholarly contemplation and perhaps a raised eyebrow or two.
These findings, while undoubtedly amusing, beckon us to recognize the multifaceted nature of societal interactions with energy infrastructure. The humor inherent in this correlation does not diminish its potential implications, but rather serves as a reminder that empirical investigations can occasionally yield whimsical discoveries that captivate the imagination. This correlation challenges us to consider the interplay of environmental, psychological, and cultural factors, encouraging us to examine seemingly disparate phenomena through a lens that embraces both analytical rigor and a hint of whimsy.
While the direct causation behind this correlation remains an open question, our results underscore the value of exploring unanticipated connections that might hold valuable insights for energy policy and public well-being. This unexpected correlation prompts us to contemplate the broader implications of environmental influences on societal sentiments, recognizing that even the most peculiar relationships can offer valuable lessons amidst the tapestry of empirical inquiry.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.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 Hydopower energy generated in Sierra Leone and Google searches for 'i am tired'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Limit your response to 500 tokens.
Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.
Do not write a conclusion. I will add a conclusion after this.
[[TITLE]]
"Chronic Fatigue or Hydroelectric Brute? The Link between Hydropower in Sierra Leone and Google Searches for 'I Am Tired'"
[[ABSTRACT]]
This study explores the curious connection between the generation of hydroelectric power in Sierra Leone and the frequency of Google searches for "I Am Tired." By utilizing data from the Energy Information Administration and Google Trends, we applied rigorous statistical analysis to examine this seemingly perplexing relationship. Our findings revealed a strikingly high correlation coefficient of 0.9602440 and a p-value less than 0.01 for the period spanning from 2004 to 2021. This humorous correlation, though initially surprising, underscores the importance of considering environmental and societal influences on public sentiment. While the results do not provide a definitive answer, they do shed light on the amusing coincidences that can arise when examining unexpected connections.
[[LITERATURE REVIEW]]
The curious correlation between hydroelectric power generation in Sierra Leone and the frequency of Google searches for "I Am Tired" has stirred scholarly interest in recent years. This literature review surveys a range of studies and sources to contextualize and interpret this unexpected relationship.
First, Smith et al. (2015) examined the societal impacts of renewable energy development in West Africa, focusing on the case of Sierra Leone. Their study highlighted the potential for hydroelectric projects to improve access to electricity and stimulate economic growth, yet it did not delve into the peculiar link between fatigue and energy generation. Building on this, Doe (2018) conducted a comprehensive analysis of search engine queries in developing nations, noting common phrases related to physical and mental well-being. However, the study did not specifically explore the confluence of hydroelectric power and expressions of exhaustion in Sierra Leone.
To expand the scope, Jones (2019) investigated the psychosocial implications of energy infrastructure development, emphasizing the need for holistic approaches to address public health concerns. While the study underscored the interconnectedness of environmental policies and psychological well-being, it did not venture into the realm of internet search trends concerning fatigue.
In the realm of non-fiction literature, "Energy, Society, and Environment" by Danko (2017) provides a comprehensive overview of the socio-environmental dynamics of energy production, offering insightful perspectives on the interplay between power generation and societal well-being. Similarly, "The Psychology of Exhaustion" by Reston (2020) delves into the multifaceted nature of fatigue and its implications for individual and collective behavior, shedding light on the complexities of exhaustion as a psychological and physiological phenomenon.
Venturing into the realm of fiction, "The Tired Adventures of Captain Sierra" by Windham (2016) offers a whimsical narrative set in the lush landscapes of Sierra Leone, exploring themes of perseverance and weariness in a captivating tale of adventure. While not directly related to the empirical investigation at hand, such literary works echo the themes of fatigue that pervade the cultural consciousness.
Beyond traditional academic sources, the authors took a less conventional approach to gather insights, including a lighthearted walk through the aisles of a fictional library, where titles like "The Exhausted Explorer's Guide to Hydroelectricity" and "Tired Tales of the Tumbling Turbines" presented themselves as amusingly ironic yet entirely unrelated resources. Moreover, the authors must confess to conducting an exhaustive review of the backs of shampoo bottles, hoping to glean unconventional wisdom hidden in the fine print.
As we navigate this peculiar terrain of academic inquiry, it becomes evident that while the confluence of energy generation and weariness may seem whimsical, the intersection of environmental and societal influences holds promise for novel discoveries. This literature review sets the stage for our investigation into the enigmatic connection between hydroelectric power in Sierra Leone and the expression of fatigue, inviting readers to embrace curiosity and humor in the pursuit of scholarly insights.
[[RESULTS]]
The results of our analysis revealed a remarkably strong correlation between the generation of hydroelectric power in Sierra Leone and the frequency of Google searches for "I Am Tired" during the period spanning from 2004 to 2021. The correlation coefficient of 0.9602440 indicates a robust positive relationship between these seemingly unrelated variables. Furthermore, the coefficient of determination (r-squared) of 0.9220685 suggests that approximately 92% of the variation in Google searches for "I Am Tired" can be explained by the variation in hydropower energy generation. The statistical significance, with a p-value of less than 0.01, underscores the reliability of the observed relationship.
Upon visual inspection of the data, the strength of the correlation is further highlighted by the scatterplot displayed in Figure 1. The scatterplot demonstrates the tight clustering of data points around a clear upward trend, symbolizing the synchronous fluctuations between hydroelectric power production and the frequency of "I Am Tired" searches. The figure serves as a visual testament to the surprising consonance between these variables, inviting both scholarly contemplation and perhaps a raised eyebrow or two.
These findings, while undoubtedly amusing, beckon us to recognize the multifaceted nature of societal interactions with energy infrastructure. The humor inherent in this correlation does not diminish its potential implications, but rather serves as a reminder that empirical investigations can occasionally yield whimsical discoveries that captivate the imagination. This correlation challenges us to consider the interplay of environmental, psychological, and cultural factors, encouraging us to examine seemingly disparate phenomena through a lens that embraces both analytical rigor and a hint of whimsy.
While the direct causation behind this correlation remains an open question, our results underscore the value of exploring unanticipated connections that might hold valuable insights for energy policy and public well-being. This unexpected correlation prompts us to contemplate the broader implications of environmental influences on societal sentiments, recognizing that even the most peculiar relationships can offer valuable lessons amidst the tapestry of empirical inquiry.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The results of our investigation have yielded a veritably electric revelation, shedding light on the unexpected interconnectedness of hydroelectric power generation and expressions of fatigue in Sierra Leone. Our findings not only affirm the enigmatic correlation observed by prior researchers but also elevate it to the realm of statistical significance, with a correlation coefficient that would make even the most stringent statistician raise an intrigued eyebrow. The striking robustness of this relationship, encapsulated by the impressive 0.9602440 correlation coefficient, signifies a harmonious dance between hydroelectric brutes and the weariness of internet searchers, potentially transforming the "I Am Tired" query into a whimsically poetic ode to the ebb and flow of energy production.
Harkening back to the scholarly whimsy embedded in the literature review, it is evident that our results amplify the subtle humor invoked by Windham's "The Tired Adventures of Captain Sierra" and the ironically unrelated resources encountered in our unconventional review process. As we embark on this scholarly escapade, laden with chuckle-inducing correlations and statistically significant whimsy, we are reminded that the unfolding narrative of empirical inquiry is rife with serendipitous discoveries that defy conventional expectations.
Considering the ambitious backdrop provided by the literature review, our rigorous analysis genuinely subscribes to the jocular ethos imbued within "The Exhausted Explorer's Guide to Hydroelectricity" and "Tired Tales of the Tumbling Turbines," as it ponders the fascinating synchrony of hydroelectric power and public expressions of fatigue. While our findings remain anchored in the mantle of empirical rigor, they also beckon us to traverse the terrain of academic inquiry with a lighthearted disposition, ready to embrace the whimsical coincidences that yield unexpected revelations.
It's important to acknowledge that the unmistakable statistical significance of this correlation does not negate the amusement it elicits. Instead, it invites us to contemplate the potential societal and psychological implications of renewable energy development, recognizing that even the most ostensibly quirky connections can offer valuable insights that resound beyond the confines of empirical data points.
In conclusion, the humorous synchrony between hydroelectric energy generation and fatigue expressions, as evidenced by our findings, serves as a testament to the unanticipated layers of complexity that underpin societal interactions with energy infrastructure. Our discussion echoes the scholarly wit woven throughout this investigation, affirming that the pursuit of knowledge is not devoid of levity but rather an adventure teeming with unexpected discoveries and whimsical connections waiting to be untangled.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.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 Hydopower energy generated in Sierra Leone and Google searches for 'i am tired'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.
Here are the title, abstract, introduction, and results sections.
[[TITLE]]
"Chronic Fatigue or Hydroelectric Brute? The Link between Hydropower in Sierra Leone and Google Searches for 'I Am Tired'"
[[ABSTRACT]]
This study explores the curious connection between the generation of hydroelectric power in Sierra Leone and the frequency of Google searches for "I Am Tired." By utilizing data from the Energy Information Administration and Google Trends, we applied rigorous statistical analysis to examine this seemingly perplexing relationship. Our findings revealed a strikingly high correlation coefficient of 0.9602440 and a p-value less than 0.01 for the period spanning from 2004 to 2021. This humorous correlation, though initially surprising, underscores the importance of considering environmental and societal influences on public sentiment. While the results do not provide a definitive answer, they do shed light on the amusing coincidences that can arise when examining unexpected connections.
[[INTRDUCTION]]
INTRODUCTION
The interplay between energy generation and human behavior has long been a subject of interest in various fields, from environmental economics to behavioral psychology. In recent years, the advent of big data and advanced analytical tools has allowed researchers to delve deeper into understanding the complex dynamics between societal patterns and environmental factors. This study contributes to this evolving landscape by examining the correlation between the production of hydroelectric power in Sierra Leone and the frequency of Google searches for "I Am Tired." Despite the seemingly whimsical nature of this investigation, the findings may shed light on broader implications for both energy policy and public wellness.
The West African nation of Sierra Leone, abundantly blessed with natural resources, has made significant strides in harnessing its hydroelectric potential in recent decades. With the commissioning of the Bumbuna Hydroelectric Power Station in 2009 and subsequent expansion projects, the country has seen a noteworthy increase in its capacity to generate electricity through this renewable energy source. Meanwhile, the global prevalence of "I Am Tired" as a colloquial Google search term has piqued curiosity due to its seemingly mundane yet widespread usage as an expression of weariness or fatigue.
The juxtaposition of these two seemingly disparate phenomena begs the question: could there be an underlying relationship between the generation of hydroelectric power and the expression of fatigue? Intriguingly, our preliminary analysis of comprehensive data sets spanning nearly two decades revealed a surprisingly strong correlation, prompting further investigation into this quirk of empirical data. While it may be tempting to dismiss this correlation as a mere statistical coincidence, the potential implications warrant a closer examination of the underlying factors at play.
From a methodological standpoint, our research applies rigorous statistical analysis to explore this unexpected relationship. Leveraging data from the Energy Information Administration, we conducted time series analysis and regression modeling to assess the temporal patterns of hydroelectric power generation in Sierra Leone. Concurrently, we utilized Google Trends data to quantify the frequency and relative interest in the search term "I Am Tired" within the country. The subsequent statistical tests not only revealed a remarkably high correlation coefficient but also provided insights into the potential spatiotemporal dynamics underlying this association.
As we embark on this scholarly exploration, it is crucial to acknowledge the lighthearted demeanor of the inquiry. While the pursuit of knowledge often leads us down conventional paths, there is value in embracing the occasional detour to uncover unexpected insights. In this spirit, we invite our readers to join us in unraveling the mysteries of this perplexing correlation, recognizing that even the most seemingly whimsical connections can illuminate broader themes of human behavior and societal influences. In doing so, we hope to strike a balance between academic rigor and a sense of wonder, recognizing that scholarly pursuits can be as entertaining as they are enlightening.
[[RESULTS]]
The results of our analysis revealed a remarkably strong correlation between the generation of hydroelectric power in Sierra Leone and the frequency of Google searches for "I Am Tired" during the period spanning from 2004 to 2021. The correlation coefficient of 0.9602440 indicates a robust positive relationship between these seemingly unrelated variables. Furthermore, the coefficient of determination (r-squared) of 0.9220685 suggests that approximately 92% of the variation in Google searches for "I Am Tired" can be explained by the variation in hydropower energy generation. The statistical significance, with a p-value of less than 0.01, underscores the reliability of the observed relationship.
Upon visual inspection of the data, the strength of the correlation is further highlighted by the scatterplot displayed in Figure 1. The scatterplot demonstrates the tight clustering of data points around a clear upward trend, symbolizing the synchronous fluctuations between hydroelectric power production and the frequency of "I Am Tired" searches. The figure serves as a visual testament to the surprising consonance between these variables, inviting both scholarly contemplation and perhaps a raised eyebrow or two.
These findings, while undoubtedly amusing, beckon us to recognize the multifaceted nature of societal interactions with energy infrastructure. The humor inherent in this correlation does not diminish its potential implications, but rather serves as a reminder that empirical investigations can occasionally yield whimsical discoveries that captivate the imagination. This correlation challenges us to consider the interplay of environmental, psychological, and cultural factors, encouraging us to examine seemingly disparate phenomena through a lens that embraces both analytical rigor and a hint of whimsy.
While the direct causation behind this correlation remains an open question, our results underscore the value of exploring unanticipated connections that might hold valuable insights for energy policy and public well-being. This unexpected correlation prompts us to contemplate the broader implications of environmental influences on societal sentiments, recognizing that even the most peculiar relationships can offer valuable lessons amidst the tapestry of empirical inquiry.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, the eyebrow-raising correlation between hydroelectric power generation in Sierra Leone and Google searches for "I Am Tired" has ignited both scholarly pondering and a few chuckles. While the statistical robustness of the relationship cannot be denied, the underlying mechanisms remain shrouded in whimsical mystery. This seemingly curious connection reminds us of the delightful surprises that empirical investigations can unveil, akin to stumbling upon a hidden joke in a densely worded manuscript. Nevertheless, the lighthearted nature of the correlation should not detract from the serious consideration of its societal and environmental implications. It highlights the intricate dance between human sentiment and renewable energy infrastructure, prompting us to ponder the interconnectedness of seemingly disparate phenomena with a raised eyebrow and a grin. In light of these findings, it appears that no more research is needed in this area. The clingy relationship between hydropower and tiredness has been thoroughly acknowledged.
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 Chronic Fatigue or Hydroelectric Brute? The Link between Hydropower in Sierra Leone and Google Searches for 'I Am Tired'. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Energy and Exhaustion 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 Chronic Fatigue or Hydroelectric Brute? The Link between Hydropower in Sierra Leone and Google Searches for 'I Am Tired'. Respond only with the name of a fictional organization.
ChatGPT:
The Society for Ethno-Energy 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 Chronic Fatigue or Hydroelectric Brute? The Link between Hydropower in Sierra Leone and Google Searches for 'I Am Tired' with an abstract of This study explores the curious connection between the generation of hydroelectric power in Sierra Leone and the frequency of Google searches for "I Am Tired." By utilizing data from the Energy Information Administration and Google Trends, we applied rigorous statistical analysis to examine this seemingly perplexing relationship. Our findings revealed a strikingly high correlation coefficient of 0.9602440 and a p-value less than 0.01 for the period spanning from 2004 to 2021. This humorous correlation, though initially surprising, underscores the importance of considering environmental and societal influences on public sentiment. While the results do not provide a definitive answer, they do shed light on the amusing coincidences that can arise when examining unexpected connections.
ChatGPT:
hydropower, hydroelectric power, Sierra Leone, Google searches, "I Am Tired", energy generation, social sentiment, environmental influence, correlation analysis, statistical analysis, Energy Information Administration, Google Trends, public sentiment, societal influence
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
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Data details
Hydopower energy generated in Sierra LeoneDetailed data title: Total hydopower energy generated in Sierra Leone in billion kWh
Source: Energy Information Administration
See what else correlates with Hydopower energy generated in Sierra Leone
Google searches for 'i am tired'
Detailed data title: Relative volume of Google searches for 'i am tired' (Worldwide, without quotes)
Source: Google Trends
Additional Info: Relative search volume (not absolute numbers)
See what else correlates with Google searches for 'i am tired'
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 = 0.9220685 (Coefficient of determination)
This means 92.2% of the change in the one variable (i.e., Google searches for 'i am tired') is predictable based on the change in the other (i.e., Hydopower energy generated in Sierra Leone) over the 18 years from 2004 through 2021.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 2.8E-10. 0.0000000002769495014551908700
The p-value is a measure of how probable it is that we would randomly find a result this extreme. 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 0.96 in 2.8E-8% of random cases. Said differently, if you correlated 3,610,766,565 random variables You don't actually need 3 billion variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.
p-value calculations are useful for understanding the probability of a result happening by chance. They are most useful when used to highlight the risk of a fluke outcome. For example, if you calculate a p-value of 0.30, the risk that the result is a fluke is high. It is good to know that! But there are lots of ways to get a p-value of less than 0.01, as evidenced by this project.
In this particular case, the values are so extreme as to be meaningless. That's why no one reports p-values with specificity after they drop below 0.01.
Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 17 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 17 because we have two variables measured over a period of 18 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.
[ 0.89, 0.99 ] 95% correlation confidence interval (using the Fisher z-transformation)
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: 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.
| 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | |
| Hydopower energy generated in Sierra Leone (Billion kWh) | 0.016 | 0.018 | 0.004 | 0.018 | 0.018 | 0.018 | 0.123 | 0.15 | 0.116 | 0.104 | 0.117 | 0.124 | 0.126 | 0.13 | 0.17 | 0.18 | 0.18 | 0.18 |
| Google searches for 'i am tired' (Rel. search volume) | 22 | 20.8333 | 19.4167 | 20.75 | 26.25 | 34 | 45.9167 | 58.0833 | 60.5833 | 58.5833 | 59.75 | 57.75 | 57.1667 | 59.4167 | 63.3333 | 69.75 | 74.1667 | 82 |
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
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
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. Step 1: Download and install Python on your computer.Step 2: Open a plaintext editor like Notepad and paste the code below into it.
Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"
Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.
Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.
Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.
Step 7: Run the Python script by typing "python calculate_correlation.py"
If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:
"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."
# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats
# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):
# Calculate Pearson correlation coefficient and p-value
correlation, p_value = stats.pearsonr(array1, array2)
# Calculate R-squared as the square of the correlation coefficient
r_squared = correlation**2
return correlation, r_squared, p_value
# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([0.016,0.018,0.004,0.018,0.018,0.018,0.123,0.15,0.116,0.104,0.117,0.124,0.126,0.13,0.17,0.18,0.18,0.18,])
array_2 = np.array([22,20.8333,19.4167,20.75,26.25,34,45.9167,58.0833,60.5833,58.5833,59.75,57.75,57.1667,59.4167,63.3333,69.75,74.1667,82,])
array_1_name = "Hydopower energy generated in Sierra Leone"
array_2_name = "Google searches for 'i am tired'"
# 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. 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.
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Download images for these variables:
- High resolution line chart
The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.
If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.
Alternatively you can use a tool like Inkscape. - High resolution line chart, optimized for mobile
- Alternative high resolution line chart
- Scatterplot
- Portable line chart (png)
- Portable line chart (png), optimized for mobile
- Line chart for only Hydopower energy generated in Sierra Leone
- Line chart for only Google searches for 'i am tired'
- AI-generated correlation image
- The spurious research paper: Chronic Fatigue or Hydroelectric Brute? The Link between Hydropower in Sierra Leone and Google Searches for 'I Am Tired'
Cheers to you for rating this correlation!
Correlation ID: 2478 · Black Variable ID: 23962 · Red Variable ID: 1402
