Download png, svg
AI explanation
As the solar panels absorbed more and more sunlight, they began to develop a sassy attitude, leading people to question their behavior and utter, "That is sus." It's like the panels were not just converting solar energy, but also emitting a vibe of suspicion, making everyone wonder what shifty business they were up to. Remember, with great power comes great sus-ponsibility!Model: dalle-3
Prompt: Generate an image that encapsulates the essence of a TIME magazine cover, featuring a striking scene in a sunny landscape in Argentina. Depict rows of solar panels spanning across the vibrant expanse, harnessing the abundant sunlight. Meanwhile, portray a group of people gathered in the vicinity, engaged in laughter and lighthearted conversations as they browse a smartphone, sharing "sus" gestures and exclaiming "that is sus" while searching the phrase on Google. Emphasize the contrast between the modern digital interaction and the natural energy source through vivid colors and organic shapes. 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: Solar power generated in Argentina and Google searches for 'that is sus'. 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: Magic realism Cute cartoon Sci-fi fantacy An image that looks like it is a scene from a Pixar movie A TIME magazine cover image
ChatGPT: A TIME magazine cover image
Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both Solar power generated in Argentina and Google searches for 'that is sus' together. Keep the description simple.
ChatGPT: In a sunny and vibrant landscape in Argentina, rows of solar panels are spread out, capturing the abundant sunlight. Nearby, a group of people are gathered around a smartphone, laughing and making "sus" gestures as they search "that is sus" on Google.
Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ A TIME magazine cover image ] and depicting this scene: In a sunny and vibrant landscape in Argentina, rows of solar panels are spread out, capturing the abundant sunlight. Nearby, a group of people are gathered around a smartphone, laughing and making "sus" gestures as they search "that is sus" on Google. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image that encapsulates the essence of a TIME magazine cover, featuring a striking scene in a sunny landscape in Argentina. Depict rows of solar panels spanning across the vibrant expanse, harnessing the abundant sunlight. Meanwhile, portray a group of people gathered in the vicinity, engaged in laughter and lighthearted conversations as they browse a smartphone, sharing "sus" gestures and exclaiming "that is sus" while searching the phrase on Google. Emphasize the contrast between the modern digital interaction and the natural energy source through vivid colors and organic shapes.
*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 Solar power generated in Argentina caused that is sus (Google searches for 'that is sus') to increase. Make it feel plausible.
AI academic paper
Charging Up Sus-picious Behavior: The Solar Side of 'That Is Sus' Google Searches in Argentina The Journal of Solar Cognition and Behavioral Analysis 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 Solar power generated in Argentina and Google searches for 'that is sus'. Make lots of jokes, goofy observations, and puns.
Make the title a clever pun.
Your research team used data from Energy Information Administration and Google Trends to assess this nagging question. You found a correlation coefficient of 0.9576054 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]]
Charging Up Sus-picious Behavior: The Solar Side of 'That Is Sus' Google Searches in Argentina
[[ABSTRACT]]
In this study, we shed light on the curious relationship between solar power generation in Argentina and the frequency of Google searches for 'that is sus'. By harnessing data from the Energy Information Administration and Google Trends, we aimed to illuminate the connection between renewable energy and online sus-picion. Our findings revealed a striking correlation coefficient of 0.9576054, with a p-value of less than 0.01, spanning the years 2004 to 2021. Join us as we delve into the sunny side of sus-picious behavior and shine a spotlight on this electrifying correlation between solar power and online intrigue.
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 Solar power generated in Argentina and Google searches for 'that is sus'. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
Here is the title and abstract of the paper:
[[TITLE]]
Charging Up Sus-picious Behavior: The Solar Side of 'That Is Sus' Google Searches in Argentina
[[ABSTRACT]]
In this study, we shed light on the curious relationship between solar power generation in Argentina and the frequency of Google searches for 'that is sus'. By harnessing data from the Energy Information Administration and Google Trends, we aimed to illuminate the connection between renewable energy and online sus-picion. Our findings revealed a striking correlation coefficient of 0.9576054, with a p-value of less than 0.01, spanning the years 2004 to 2021. Join us as we delve into the sunny side of sus-picious behavior and shine a spotlight on this electrifying correlation between solar power and online intrigue.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
Ah, the enigmatic world of research—where the sun's rays and Google searches collide in an electrifying dance of intrigue. Welcome, fellow enthusiasts of the statistical and the suspicious! Today, we embark on a journey to uncover the hitherto unseen connection between the rise of solar power generation in Argentina and the peculiar upsurge of 'that is sus' Google searches. Buckle up, as we embark on this whimsical adventure through the solar system of statistical analysis and online curiosity!
As researchers, we are often scrutinizing data looking for patterns, but let me tell you, few patterns are as eyebrow-raising as the correlation between renewable energy and online sus-picion. The allure of the unknown beckons us—what could possibly link the radiant embrace of solar power to the enigmatic allure of 'that is sus' queries on the internet? Will we uncover a web of solar conspiracy theories, or perhaps witness the inception of a solar cult? While we jest, the truth lies in the data, waiting to be unearthed from the digital depths of Google.
In this paper, we don our detective hats and harness the power of science, statistics, and a sprinkle of cheekiness as we delve into the sun-kissed world of suspected behavior. We will shed light on the meticulous methods employed to examine the correlation between solar power and online intrigue, and yes, puns and dad jokes may sneak their way into the discussion like photobombing sunbeams.
So, hold onto your lab coats as we bask in the warm glow of solar power data and navigate the labyrinthine pathways of Google searches to uncover the electrifying truth lurking beneath the 'that is sus' phenomenon. As we embark on this journey, don't forget your sunscreen and skeptical spectacles—things are about to get "sus-piciously" sunny!
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 Solar power generated in Argentina and Google searches for 'that is sus'. Make lots of jokes, goofy observations, and puns.
Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.
Make up the lorem and ipsum part, but make it sound related to the topic at hand.
Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name some movies that you watched that are tangentially related to the topic.
Here is the title and abstract of the paper:
[[TITLE]]
Charging Up Sus-picious Behavior: The Solar Side of 'That Is Sus' Google Searches in Argentina
[[ABSTRACT]]
In this study, we shed light on the curious relationship between solar power generation in Argentina and the frequency of Google searches for 'that is sus'. By harnessing data from the Energy Information Administration and Google Trends, we aimed to illuminate the connection between renewable energy and online sus-picion. Our findings revealed a striking correlation coefficient of 0.9576054, with a p-value of less than 0.01, spanning the years 2004 to 2021. Join us as we delve into the sunny side of sus-picious behavior and shine a spotlight on this electrifying correlation between solar power and online intrigue.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
Ah, the enigmatic world of research—where the sun's rays and Google searches collide in an electrifying dance of intrigue. Welcome, fellow enthusiasts of the statistical and the suspicious! Today, we embark on a journey to uncover the hitherto unseen connection between the rise of solar power generation in Argentina and the peculiar upsurge of 'that is sus' Google searches. Buckle up, as we embark on this whimsical adventure through the solar system of statistical analysis and online curiosity!
As researchers, we are often scrutinizing data looking for patterns, but let me tell you, few patterns are as eyebrow-raising as the correlation between renewable energy and online sus-picion. The allure of the unknown beckons us—what could possibly link the radiant embrace of solar power to the enigmatic allure of 'that is sus' queries on the internet? Will we uncover a web of solar conspiracy theories, or perhaps witness the inception of a solar cult? While we jest, the truth lies in the data, waiting to be unearthed from the digital depths of Google.
In this paper, we don our detective hats and harness the power of science, statistics, and a sprinkle of cheekiness as we delve into the sun-kissed world of suspected behavior. We will shed light on the meticulous methods employed to examine the correlation between solar power and online intrigue, and yes, puns and dad jokes may sneak their way into the discussion like photobombing sunbeams.
So, hold onto your lab coats as we bask in the warm glow of solar power data and navigate the labyrinthine pathways of Google searches to uncover the electrifying truth lurking beneath the 'that is sus' phenomenon. As we embark on this journey, don't forget your sunscreen and skeptical spectacles—things are about to get "sus-piciously" sunny!
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
The relationship between solar power generation and online search behavior is a topic that has garnered increasing attention in recent years. Researchers such as Smith et al. (2017) have delved into the impact of renewable energy on various aspects of society, while Doe and Jones (2019) explored the influence of online search trends on public perception and behavior.
In "Renewable Energy and Society," Smith et al. (2017) elucidate the far-reaching effects of solar power adoption, detailing its implications on energy sustainability, economic development, and environmental conservation. On the other hand, Doe and Jones (2019), in their work "Digital Footprints: Unraveling Online Search Behavior," unravel the complex relationship between internet searches and societal attitudes, uncovering intriguing patterns in online behavior.
Drawing from a different vein of research, books such as "Solar Power for Dummies" and "The Art of Googling: Unleashing the Power of Online Searches" offer practical insights into the realms of solar energy and digital explorations, respectively. These sources lay the groundwork for understanding the multidimensional impact of solar power and online search behavior on modern society.
Venturing into the realm of fiction, works such as "Solar Flare Mysteries" and "The Search Conspiracy" weave captivating narratives that blur the lines between solar phenomena and digital intrigue. While not grounded in empirical research, these imaginative tales invite readers to ponder the enigmatic connections between the sun's energy and online mysteries.
In the world of cinema, movies such as "Sunshine" and "The Social Network" provide cinematic glimpses into the realms of solar power and online interactions, offering creative interpretations of the themes at hand. While these films may not offer empirical evidence, they certainly add an element of entertainment to the exploration of solar power and digital behavior.
As we navigate the entanglement of solar power and 'that is sus' Google searches, let us not forget that the sun's rays and online queries may shine light on unexpected correlations, leading us down an illuminating path of discovery.
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 Solar power generated in Argentina and Google searches for 'that is sus'. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
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]]
Charging Up Sus-picious Behavior: The Solar Side of 'That Is Sus' Google Searches in Argentina
[[ABSTRACT]]
In this study, we shed light on the curious relationship between solar power generation in Argentina and the frequency of Google searches for 'that is sus'. By harnessing data from the Energy Information Administration and Google Trends, we aimed to illuminate the connection between renewable energy and online sus-picion. Our findings revealed a striking correlation coefficient of 0.9576054, with a p-value of less than 0.01, spanning the years 2004 to 2021. Join us as we delve into the sunny side of sus-picious behavior and shine a spotlight on this electrifying correlation between solar power and online intrigue.
[[INTRODUCTION]]
Ah, the enigmatic world of research—where the sun's rays and Google searches collide in an electrifying dance of intrigue. Welcome, fellow enthusiasts of the statistical and the suspicious! Today, we embark on a journey to uncover the hitherto unseen connection between the rise of solar power generation in Argentina and the peculiar upsurge of 'that is sus' Google searches. Buckle up, as we embark on this whimsical adventure through the solar system of statistical analysis and online curiosity!
As researchers, we are often scrutinizing data looking for patterns, but let me tell you, few patterns are as eyebrow-raising as the correlation between renewable energy and online sus-picion. The allure of the unknown beckons us—what could possibly link the radiant embrace of solar power to the enigmatic allure of 'that is sus' queries on the internet? Will we uncover a web of solar conspiracy theories, or perhaps witness the inception of a solar cult? While we jest, the truth lies in the data, waiting to be unearthed from the digital depths of Google.
In this paper, we don our detective hats and harness the power of science, statistics, and a sprinkle of cheekiness as we delve into the sun-kissed world of suspected behavior. We will shed light on the meticulous methods employed to examine the correlation between solar power and online intrigue, and yes, puns and dad jokes may sneak their way into the discussion like photobombing sunbeams.
So, hold onto your lab coats as we bask in the warm glow of solar power data and navigate the labyrinthine pathways of Google searches to uncover the electrifying truth lurking beneath the 'that is sus' phenomenon. As we embark on this journey, don't forget your sunscreen and skeptical spectacles—things are about to get "sus-piciously" sunny!
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To investigate the tantalizing link between solar power generation in Argentina and the frequency of Google searches for 'that is sus', we embarked on a quest for data that would shed light on this intriguing correlation. Our research team combed through the digital expanse from the Energy Information Administration to Google Trends, traversing the cyber landscape like intrepid explorers of the statistical seas. Our journey through the digital labyrinth was reminiscent of a solar-powered ship navigating the waves of internet searches, with our compass pointing toward the elusive connection between renewable energy and online intrigue.
Upon reaching the shores of data abundance, we gathered solar power generation statistics from the Energy Information Administration, ensuring that our dataset gleamed with precision like a polished solar panel catching the rays of statistical significance. The data spanned the years from 2004 to 2021, capturing the ebb and flow of solar energy like a captivating dance between the sun and the earth.
As for the 'that is sus' Google searches, we harnessed the power of Google Trends, embarking on a digital expedition to uncover the peaks and valleys of online sus-picion. Our endeavor resembled traversing through the vast expanse of the internet, akin to navigating the quirky and unpredictable trails of online inquiry.
Once armed with our trove of solar power data and 'that is sus' search trends, we huddled together like astronomers observing a celestial event, ready to apply statistical techniques with the precision of a telescope trained on a distant star. We calculated the correlation coefficient with bated breath, awaiting the moment when the statistical stars aligned, allowing us to unveil the captivating relationship between these seemingly disparate phenomena.
The statistical models and analyses utilized in this investigation were as robust as a sturdy solar array weathering a storm, ensuring that our findings were firmly grounded in rigorous scientific methodology. We employed time series analysis and regression models, each step akin to untangling the convoluted dance of solar power and online curiosity. The statistical journey may have been as twisty as a helical solar panel installation, but the destination promised to illuminate the shadows of suspicion cast by this enigmatic relationship.
With our statistical arsenal honed and ready, we embarked on the grand adventure of uncovering the electrifying correlation between solar power and online intrigue, armed with science, statistical prowess, and a touch of whimsy. As we divulge our findings, brace yourselves for a scientific escapade filled with unexpected twists, just like the rotational axis of the earth tilting toward the sun, bringing forth the light of discovery.
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 Solar power generated in Argentina and Google searches for 'that is sus'. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
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 0.9576054, r-squared of 0.9170080, 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]]
Charging Up Sus-picious Behavior: The Solar Side of 'That Is Sus' Google Searches in Argentina
[[ABSTRACT]]
In this study, we shed light on the curious relationship between solar power generation in Argentina and the frequency of Google searches for 'that is sus'. By harnessing data from the Energy Information Administration and Google Trends, we aimed to illuminate the connection between renewable energy and online sus-picion. Our findings revealed a striking correlation coefficient of 0.9576054, with a p-value of less than 0.01, spanning the years 2004 to 2021. Join us as we delve into the sunny side of sus-picious behavior and shine a spotlight on this electrifying correlation between solar power and online intrigue.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
Ah, the enigmatic world of research—where the sun's rays and Google searches collide in an electrifying dance of intrigue. Welcome, fellow enthusiasts of the statistical and the suspicious! Today, we embark on a journey to uncover the hitherto unseen connection between the rise of solar power generation in Argentina and the peculiar upsurge of 'that is sus' Google searches. Buckle up, as we embark on this whimsical adventure through the solar system of statistical analysis and online curiosity!
As researchers, we are often scrutinizing data looking for patterns, but let me tell you, few patterns are as eyebrow-raising as the correlation between renewable energy and online sus-picion. The allure of the unknown beckons us—what could possibly link the radiant embrace of solar power to the enigmatic allure of 'that is sus' queries on the internet? Will we uncover a web of solar conspiracy theories, or perhaps witness the inception of a solar cult? While we jest, the truth lies in the data, waiting to be unearthed from the digital depths of Google.
In this paper, we don our detective hats and harness the power of science, statistics, and a sprinkle of cheekiness as we delve into the sun-kissed world of suspected behavior. We will shed light on the meticulous methods employed to examine the correlation between solar power and online intrigue, and yes, puns and dad jokes may sneak their way into the discussion like photobombing sunbeams.
So, hold onto your lab coats as we bask in the warm glow of solar power data and navigate the labyrinthine pathways of Google searches to uncover the electrifying truth lurking beneath the 'that is sus' phenomenon. As we embark on this journey, don't forget your sunscreen and skeptical spectacles—things are about to get "sus-piciously" sunny!
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
Upon conducting our analysis, we uncovered a remarkably strong correlation between solar power generation in Argentina and the frequency of Google searches for 'that is sus'. The correlation coefficient was found to be 0.9576054, indicating a robust positive relationship between these seemingly disparate variables. This correlation was further supported by an r-squared value of 0.9170080, signifying that a whopping 91.7% of the variation in 'that is sus' searches can be explained by solar power generation. The p-value of less than 0.01 adds an extra layer of statistical significance to this illuminating discovery.
To visually capture the essence of this sun-kissed relationship, we present the scatterplot in Figure 1, which demonstrates the undeniable correlation between solar power generation and 'that is sus' Google searches. It's as if the sun itself is shining a spotlight on this electrifying connection, daring us to uncover the mystery hidden within the data.
In essence, our findings illuminate an unexpected and captivating association between renewable energy and online intrigue. The solar side of 'that is sus' searches in Argentina has been brought to light, adding a touch of playful curiosity to our understanding of statistical relationships.
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 Solar power generated in Argentina and Google searches for 'that is sus'. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
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]]
Charging Up Sus-picious Behavior: The Solar Side of 'That Is Sus' Google Searches in Argentina
[[ABSTRACT]]
In this study, we shed light on the curious relationship between solar power generation in Argentina and the frequency of Google searches for 'that is sus'. By harnessing data from the Energy Information Administration and Google Trends, we aimed to illuminate the connection between renewable energy and online sus-picion. Our findings revealed a striking correlation coefficient of 0.9576054, with a p-value of less than 0.01, spanning the years 2004 to 2021. Join us as we delve into the sunny side of sus-picious behavior and shine a spotlight on this electrifying correlation between solar power and online intrigue.
[[LITERATURE REVIEW]]
The relationship between solar power generation and online search behavior is a topic that has garnered increasing attention in recent years. Researchers such as Smith et al. (2017) have delved into the impact of renewable energy on various aspects of society, while Doe and Jones (2019) explored the influence of online search trends on public perception and behavior.
In "Renewable Energy and Society," Smith et al. (2017) elucidate the far-reaching effects of solar power adoption, detailing its implications on energy sustainability, economic development, and environmental conservation. On the other hand, Doe and Jones (2019), in their work "Digital Footprints: Unraveling Online Search Behavior," unravel the complex relationship between internet searches and societal attitudes, uncovering intriguing patterns in online behavior.
Drawing from a different vein of research, books such as "Solar Power for Dummies" and "The Art of Googling: Unleashing the Power of Online Searches" offer practical insights into the realms of solar energy and digital explorations, respectively. These sources lay the groundwork for understanding the multidimensional impact of solar power and online search behavior on modern society.
Venturing into the realm of fiction, works such as "Solar Flare Mysteries" and "The Search Conspiracy" weave captivating narratives that blur the lines between solar phenomena and digital intrigue. While not grounded in empirical research, these imaginative tales invite readers to ponder the enigmatic connections between the sun's energy and online mysteries.
In the world of cinema, movies such as "Sunshine" and "The Social Network" provide cinematic glimpses into the realms of solar power and online interactions, offering creative interpretations of the themes at hand. While these films may not offer empirical evidence, they certainly add an element of entertainment to the exploration of solar power and digital behavior.
As we navigate the entanglement of solar power and 'that is sus' Google searches, let us not forget that the sun's rays and online queries may shine light on unexpected correlations, leading us down an illuminating path of discovery.
[[RESULTS]]
Upon conducting our analysis, we uncovered a remarkably strong correlation between solar power generation in Argentina and the frequency of Google searches for 'that is sus'. The correlation coefficient was found to be 0.9576054, indicating a robust positive relationship between these seemingly disparate variables. This correlation was further supported by an r-squared value of 0.9170080, signifying that a whopping 91.7% of the variation in 'that is sus' searches can be explained by solar power generation. The p-value of less than 0.01 adds an extra layer of statistical significance to this illuminating discovery.
To visually capture the essence of this sun-kissed relationship, we present the scatterplot in Figure 1, which demonstrates the undeniable correlation between solar power generation and 'that is sus' Google searches. It's as if the sun itself is shining a spotlight on this electrifying connection, daring us to uncover the mystery hidden within the data.
In essence, our findings illuminate an unexpected and captivating association between renewable energy and online intrigue. The solar side of 'that is sus' searches in Argentina has been brought to light, adding a touch of playful curiosity to our understanding of statistical relationships.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
The electrifying findings of our study certainly invite the question: what on Earth is the correlation between solar power generation in Argentina and the frequency of 'that is sus' Google searches? Well, dear readers, let's bask in the glow of this sun-soaked mystery and unravel its implications.
This research has uncovered a delightful parallel between solar power generation and the quest for online suspicion, which might sound as bizarre as a solar-powered flashlight. However, our results align with prior studies that have probed the enigmatic tendrils of solar power adoption and online behavior. It's as if our findings are saying, "Let's shine a light on the solar side of Google searches, shall we?"
Drawing from the scholarly musings of Smith et al. (2017) and Doe and Jones (2019), who delved into the radiant realms of solar power and digital footprints, we find an intriguing resonance between our outcomes and their investigations. It's like having a scientific 'aha' moment when all the pieces fit together, akin to the alignment of the planets during a rare celestial event.
The data support the notion that solar power and online intrigue are not merely two peas in a pod; rather, they are like long-lost twins separated at birth, yearning to be reunited. Our correlation coefficient of 0.9576054 is as strong as the gravitational pull of a massive star, an undeniable testament to the captivating connection we've unveiled. It's almost like we found a statistical sunflower blooming in the field of research!
One could say that the bright correlation we discovered is akin to the fusion process that powers the sun – a harmonious dance of variables blending together, creating an energizing spectacle that captivates the imagination. Our findings, supported by the r-squared value and p-value, serve as the scientific equivalent of a mic drop; they present evidence that the sun's rays might just be illuminating more than we ever suspected.
In essence, we've ignited a spark of curiosity in the intersection of solar energy and online intrigue. It's a bit like finding a hidden message in a solar eclipse – unexpected yet utterly fascinating. Let's continue this scientific journey, shining a light on the unexpected connections that await in the realms of research.
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 Solar power generated in Argentina and Google searches for 'that is sus'. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
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]]
Charging Up Sus-picious Behavior: The Solar Side of 'That Is Sus' Google Searches in Argentina
[[ABSTRACT]]
In this study, we shed light on the curious relationship between solar power generation in Argentina and the frequency of Google searches for 'that is sus'. By harnessing data from the Energy Information Administration and Google Trends, we aimed to illuminate the connection between renewable energy and online sus-picion. Our findings revealed a striking correlation coefficient of 0.9576054, with a p-value of less than 0.01, spanning the years 2004 to 2021. Join us as we delve into the sunny side of sus-picious behavior and shine a spotlight on this electrifying correlation between solar power and online intrigue.
[[INTRDUCTION]]
Ah, the enigmatic world of research—where the sun's rays and Google searches collide in an electrifying dance of intrigue. Welcome, fellow enthusiasts of the statistical and the suspicious! Today, we embark on a journey to uncover the hitherto unseen connection between the rise of solar power generation in Argentina and the peculiar upsurge of 'that is sus' Google searches. Buckle up, as we embark on this whimsical adventure through the solar system of statistical analysis and online curiosity!
As researchers, we are often scrutinizing data looking for patterns, but let me tell you, few patterns are as eyebrow-raising as the correlation between renewable energy and online sus-picion. The allure of the unknown beckons us—what could possibly link the radiant embrace of solar power to the enigmatic allure of 'that is sus' queries on the internet? Will we uncover a web of solar conspiracy theories, or perhaps witness the inception of a solar cult? While we jest, the truth lies in the data, waiting to be unearthed from the digital depths of Google.
In this paper, we don our detective hats and harness the power of science, statistics, and a sprinkle of cheekiness as we delve into the sun-kissed world of suspected behavior. We will shed light on the meticulous methods employed to examine the correlation between solar power and online intrigue, and yes, puns and dad jokes may sneak their way into the discussion like photobombing sunbeams.
So, hold onto your lab coats as we bask in the warm glow of solar power data and navigate the labyrinthine pathways of Google searches to uncover the electrifying truth lurking beneath the 'that is sus' phenomenon. As we embark on this journey, don't forget your sunscreen and skeptical spectacles—things are about to get "sus-piciously" sunny!
[[RESULTS]]
Upon conducting our analysis, we uncovered a remarkably strong correlation between solar power generation in Argentina and the frequency of Google searches for 'that is sus'. The correlation coefficient was found to be 0.9576054, indicating a robust positive relationship between these seemingly disparate variables. This correlation was further supported by an r-squared value of 0.9170080, signifying that a whopping 91.7% of the variation in 'that is sus' searches can be explained by solar power generation. The p-value of less than 0.01 adds an extra layer of statistical significance to this illuminating discovery.
To visually capture the essence of this sun-kissed relationship, we present the scatterplot in Figure 1, which demonstrates the undeniable correlation between solar power generation and 'that is sus' Google searches. It's as if the sun itself is shining a spotlight on this electrifying connection, daring us to uncover the mystery hidden within the data.
In essence, our findings illuminate an unexpected and captivating association between renewable energy and online intrigue. The solar side of 'that is sus' searches in Argentina has been brought to light, adding a touch of playful curiosity to our understanding of statistical relationships.
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Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
As we wrap up this sun-soaked adventure, it's clear that our solar-powered suspicions were not in vain. Our findings have shed an illuminating light on the unlikely kinship between solar power generation in Argentina and the frequency of 'that is sus' Google searches. It's as if the sun itself is casting a radiant spotlight on this electrifying correlation, challenging us to unravel the mystery within the data.
While we initially embarked on this journey with a healthy dose of skepticism, the statistical evidence has left us basking in the glow of this unexpected connection. It seems that when it comes to online intrigue, the sun's rays may hold a sway more powerful than we ever suspected. Perhaps we're witnessing the birth of a new era – the solar conspiracy theories may not be so far-fetched after all!
However, as we revel in the delightful revelations of this research, we must pause and acknowledge that sometimes, statistics can reveal the most unexpected "sus-picious" relationships. It's a shining reminder that beneath the serious veneer of scientific inquiry, there's always room for a little whimsy and surprise.
As our journey finds its conclusion, we assert with resounding confidence that no further research is needed in this area. After all, we've already uncovered a "solar-ly" compelling connection that has left us beaming with pride and laughter. In the wise words of the sun, it's time to "shine on" and leave this solar-powered mystery to bask in its own sunny glory.
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 Charging Up Sus-picious Behavior: The Solar Side of 'That Is Sus' Google Searches in Argentina. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Solar Cognition and Behavioral Analysis
Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of nonprofit research organizations and associations. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding nonprofit, academic, or scientific association or organization that would sponsor research that resulted in a paper entited Charging Up Sus-picious Behavior: The Solar Side of 'That Is Sus' Google Searches in Argentina. Respond only with the name of a fictional organization.
ChatGPT:
The Society for Solar Behavioral Analysis
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 Charging Up Sus-picious Behavior: The Solar Side of 'That Is Sus' Google Searches in Argentina with an abstract of In this study, we shed light on the curious relationship between solar power generation in Argentina and the frequency of Google searches for 'that is sus'. By harnessing data from the Energy Information Administration and Google Trends, we aimed to illuminate the connection between renewable energy and online sus-picion. Our findings revealed a striking correlation coefficient of 0.9576054, with a p-value of less than 0.01, spanning the years 2004 to 2021. Join us as we delve into the sunny side of sus-picious behavior and shine a spotlight on this electrifying correlation between solar power and online intrigue.
ChatGPT:
solar power generation, Argentina, Google searches, "that is sus", renewable energy, suspicion, online behavior, Energy Information Administration, Google Trends, correlation coefficient, p-value, years 2004-2021
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
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Data details
Solar power generated in ArgentinaDetailed data title: Total solar power generated in Argentina in billion kWh
Source: Energy Information Administration
See what else correlates with Solar power generated in Argentina
Google searches for 'that is sus'
Detailed data title: Relative volume of Google searches for 'that is sus' (Worldwide, without quotes)
Source: Google Trends
Additional Info: Relative search volume (not absolute numbers)
See what else correlates with Google searches for 'that is sus'
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 = 0.9170080 (Coefficient of determination)
This means 91.7% of the change in the one variable (i.e., Google searches for 'that is sus') is predictable based on the change in the other (i.e., Solar power generated in Argentina) over the 18 years from 2004 through 2021.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 4.6E-10. 0.0000000004592407783980991000
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 4.6E-8% of random cases. Said differently, if you correlated 2,177,506,979 random variables You don't actually need 2 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, 0.98 ] 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 | |
Solar power generated in Argentina (Billion kWh) | 7.0E-5 | 8.0E-5 | 9.0E-5 | 0.0001 | 0.0001 | 0.0001 | 0.0001 | 0.002 | 0.008 | 0.015 | 0.016 | 0.014912 | 0.013917 | 0.016324 | 0.107512 | 0.791843 | 1.33115 | 2.17402 |
Google searches for 'that is sus' (Rel. search volume) | 3.83333 | 7.08333 | 8.66667 | 3.83333 | 1.33333 | 6.41667 | 5.58333 | 6.91667 | 10.25 | 10.0833 | 8.66667 | 8.66667 | 11.0833 | 12.5 | 15.4167 | 14.4167 | 40.8333 | 58.1667 |
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. - Confounding variable: 2020 is particularly different from the other years on this graph. Confounding variables (like global pandemics) will cause two variables to look connected when in fact a "sneaky third" variable is influencing both of them behind the scenes.
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([7.0E-5,8.0E-5,9.0E-5,0.0001,0.0001,0.0001,0.0001,0.002,0.008,0.015,0.016,0.014912,0.013917,0.016324,0.107512,0.791843,1.33115,2.17402,])
array_2 = np.array([3.83333,7.08333,8.66667,3.83333,1.33333,6.41667,5.58333,6.91667,10.25,10.0833,8.66667,8.66667,11.0833,12.5,15.4167,14.4167,40.8333,58.1667,])
array_1_name = "Solar power generated in Argentina"
array_2_name = "Google searches for 'that is sus'"
# 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.
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
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 Solar power generated in Argentina
- Line chart for only Google searches for 'that is sus'
- AI-generated correlation image
- The spurious research paper: Charging Up Sus-picious Behavior: The Solar Side of 'That Is Sus' Google Searches in Argentina
Your correlation rating is out of this world!
Correlation ID: 2108 · Black Variable ID: 23462 · Red Variable ID: 1367