Download png, svg
AI explanation
As solar power in Uruguay shines brighter, it's sending a powerful current of energy around the globe. This surge in electricity is actually sparking a 'dollar store near me' search frenzy. It's like the sun is saying, "I'm gonna make you shine on a budget!"
Model: dalle-3
Prompt: Generate an image of a futuristic cityscape in Uruguay featuring a dollar store powered by solar panels. The sun is shining brightly, casting a warm glow across the landscape. People are walking around, using their smartphones to look up "dollar store near me" on Google. The cybernetic art style should bring a sense of modernity and technological advancement to the scene. The solar panels should be strikingly illuminated to convey the concept of clean, renewable energy. The overall image should have a sleek and polished appearance, with a focus on the intersection of technology and everyday life. 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 Uruguay and Google searches for 'dollar store near me'. 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: Cyber folk Surrealism An image that looks like it is a scene from A Disney Movie Cybernetic art Cute cartoon
ChatGPT: Cybernetic art
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 Uruguay and Google searches for 'dollar store near me' together. Keep the description simple.
ChatGPT: A sunny day in Uruguay with solar panels absorbing sunlight, generating energy to power a dollar store. Meanwhile, people are seen using their smartphones to search for "dollar store near me" 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: [ Cybernetic art ] and depicting this scene: A sunny day in Uruguay with solar panels absorbing sunlight, generating energy to power a dollar store. Meanwhile, people are seen using their smartphones to search for "dollar store near me" on Google. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a futuristic cityscape in Uruguay featuring a dollar store powered by solar panels. The sun is shining brightly, casting a warm glow across the landscape. People are walking around, using their smartphones to look up "dollar store near me" on Google. The cybernetic art style should bring a sense of modernity and technological advancement to the scene. The solar panels should be strikingly illuminated to convey the concept of clean, renewable energy. The overall image should have a sleek and polished appearance, with a focus on the intersection of technology and everyday life.
*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 Uruguay caused dollar store near me (Google searches for 'dollar store near me') to increase. Include one good pun.
AI academic paper
 |
Shining a Light on Solar Power and Dollar Store Fervor: A Sunny Connection The Journal of Renewable Energy and Economical Enthusiasm Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a 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 Uruguay and Google searches for 'dollar store near me'. Make lots of jokes, goofy observations, and puns.
Make the title punny if you can come up with clever pun. If not, make it sound serious.
Your research team used data from Energy Information Administration and Google Trends to assess this nagging question. You found a correlation coefficient of 0.9887890 and p < 0.01 for 2012 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]]
Shining a Light on Solar Power and Dollar Store Fervor: A Sunny Connection
[[ABSTRACT]]
As the push for renewable energy gains momentum, we took a whimsical detour to explore the unexpected correlation between solar power generation in Uruguay and Google searches for "dollar store near me." Leveraging data from the Energy Information Administration and Google Trends, we navigated through a sea of numbers and algorithms to shine a light on this curious relationship. Our findings revealed a striking correlation coefficient of 0.9887890 and p < 0.01, leaving us uttering "Oh my watt!" Over the span of 2012 to 2021, the solar power surge seems to have sparked an equally illuminating surge in dollar store inquiries, casting a luminous glow on the offbeat but captivating dance between renewable energy and consumer frugality.
Model: gpt-3.5-turbo-1106
System prompt: You are a 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 Uruguay and Google searches for 'dollar store near me'. Make lots of 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]]
Shining a Light on Solar Power and Dollar Store Fervor: A Sunny Connection
[[ABSTRACT]]
As the push for renewable energy gains momentum, we took a whimsical detour to explore the unexpected correlation between solar power generation in Uruguay and Google searches for "dollar store near me." Leveraging data from the Energy Information Administration and Google Trends, we navigated through a sea of numbers and algorithms to shine a light on this curious relationship. Our findings revealed a striking correlation coefficient of 0.9887890 and p < 0.01, leaving us uttering "Oh my watt!" Over the span of 2012 to 2021, the solar power surge seems to have sparked an equally illuminating surge in dollar store inquiries, casting a luminous glow on the offbeat but captivating dance between renewable energy and consumer frugality.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
INTRODUCTION
In the pursuit of understanding the enigmatic dance between renewable energy and consumer behavior, we often find ourselves drawn towards the most unexpected discoveries. As we delve into the world of solar power generation in Uruguay and the fervor for dollar stores, we embark on a journey that illuminates the quirky yet compelling connection between these seemingly unrelated phenomena.
The allure of renewable energy has captivated the global stage, with solar power emerging as a shining beacon in this narrative. Meanwhile, the ubiquitous dollar store, the haven of thrifty shoppers and bargain hunters, has embedded itself firmly in consumer consciousness. In what can only be described as a serendipitous collision of data analytics and curiosity, our investigation seeks to unravel the correlation between these two distinct domains.
While the serious-minded may raise an eyebrow at the juxtaposition of solar power and dollar store searches, we cannot help but marvel at the unexpected twists our journey has unveiled. Through the lens of statistical analysis and digital footprints, we aim to shed light on this captivating relationship, all while maintaining a healthy sense of humor and wonder.
But before we plunge headfirst into the rays of solar power and bargain-hunting quests, we must first lay the groundwork for our exploration. Join us as we embark on a quest to uncover the peculiar connection between harnessing the sun's energy and tracking down the nearest trove of budget-friendly treasures. As we dive into the nuances of our findings, prepare to be enlightened and perhaps even chuckle at the illuminating correlation we are about to unveil.
Model: gpt-3.5-turbo-1106
System prompt: You are a 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 Uruguay and Google searches for 'dollar store near me'. 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]]
Shining a Light on Solar Power and Dollar Store Fervor: A Sunny Connection
[[ABSTRACT]]
As the push for renewable energy gains momentum, we took a whimsical detour to explore the unexpected correlation between solar power generation in Uruguay and Google searches for "dollar store near me." Leveraging data from the Energy Information Administration and Google Trends, we navigated through a sea of numbers and algorithms to shine a light on this curious relationship. Our findings revealed a striking correlation coefficient of 0.9887890 and p < 0.01, leaving us uttering "Oh my watt!" Over the span of 2012 to 2021, the solar power surge seems to have sparked an equally illuminating surge in dollar store inquiries, casting a luminous glow on the offbeat but captivating dance between renewable energy and consumer frugality.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
INTRODUCTION
In the pursuit of understanding the enigmatic dance between renewable energy and consumer behavior, we often find ourselves drawn towards the most unexpected discoveries. As we delve into the world of solar power generation in Uruguay and the fervor for dollar stores, we embark on a journey that illuminates the quirky yet compelling connection between these seemingly unrelated phenomena.
The allure of renewable energy has captivated the global stage, with solar power emerging as a shining beacon in this narrative. Meanwhile, the ubiquitous dollar store, the haven of thrifty shoppers and bargain hunters, has embedded itself firmly in consumer consciousness. In what can only be described as a serendipitous collision of data analytics and curiosity, our investigation seeks to unravel the correlation between these two distinct domains.
While the serious-minded may raise an eyebrow at the juxtaposition of solar power and dollar store searches, we cannot help but marvel at the unexpected twists our journey has unveiled. Through the lens of statistical analysis and digital footprints, we aim to shed light on this captivating relationship, all while maintaining a healthy sense of humor and wonder.
But before we plunge headfirst into the rays of solar power and bargain-hunting quests, we must first lay the groundwork for our exploration. Join us as we embark on a quest to uncover the peculiar connection between harnessing the sun's energy and tracking down the nearest trove of budget-friendly treasures. As we dive into the nuances of our findings, prepare to be enlightened and perhaps even chuckle at the illuminating correlation we are about to unveil.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
In their seminal work, Smith and Doe (2015) expound upon the intricacies of solar power generation and its impact on consumer behavior, with a particular focus on emerging markets. This work laid a solid foundation for understanding the ripple effects of renewable energy adoption on various facets of society. Similarly, Jones (2018) delved into the psychological underpinnings of bargain hunting and the allure of dollar stores, providing nuanced insights into the thrifty mindset and its intersection with retail trends.
However, as we navigate through the realm of scholarly discourse, we encounter a delightful array of sources that veer into unexpected tangents. For instance, in "Sun Power: The Science and Art of Harnessing Solar Energy" by Energy Enthusiast Quarterly (2017), the authors traverse the technical landscape of solar power but also sprinkle in whimsical anecdotes and puns, making this read an illuminating yet chuckle-inducing experience.
Turning to the world of fiction, we stumble upon "Dollar Store Mysteries" by Penny Pincher Noir (2016), a captivating novel that weaves a compelling narrative around the mysterious occurrences in a dollar store, interspersed with witty observations about consumer quirks. Meanwhile, "Solar Flares and Dollar Sign Woes" by Bright Sparks Fiction (2019) takes readers on a zany adventure where solar flares somehow trigger a surge in dollar store mayhem, blending science and frivolity in a way that would make even the most serious researcher crack a smile.
As we meander further into the realm of whimsy and pop culture, we recall movies with tangential relevance to our offbeat inquiry. Films like "Sunshine Savings" and "The Dollar Store Diaries" may not be directly related to our scholarly pursuits, but their themes of resourcefulness and unexpected connections serve as a reminder that sometimes the most peculiar correlations can hold the key to enlightenment. And let's not forget the classic "Dollar Store Detectives: The Quest for Bargain Brilliance," a film that takes viewers on a rollicking, albeit improbable, adventure through the world of discount shopping and detective work, leaving audiences with a profound "penny for your thoughts" moment.
In summary, while our literature review journey began with earnest scholarly works, it has evolved into a whimsical odyssey through the unexpected nooks and crannies of solar power and dollar store fascination. Join us as we unravel the enigmatic connection between harnessing the sun's energy and the quest for thrifty treasures, all while maintaining a healthy dose of levity and wonder.
Model: gpt-3.5-turbo-1106
System prompt: You are a 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 Uruguay and Google searches for 'dollar store near me'. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Your research team collected data from all across the internet, but mostly just used information from Energy Information Administration and Google Trends . You used data from 2012 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]]
Shining a Light on Solar Power and Dollar Store Fervor: A Sunny Connection
[[ABSTRACT]]
As the push for renewable energy gains momentum, we took a whimsical detour to explore the unexpected correlation between solar power generation in Uruguay and Google searches for "dollar store near me." Leveraging data from the Energy Information Administration and Google Trends, we navigated through a sea of numbers and algorithms to shine a light on this curious relationship. Our findings revealed a striking correlation coefficient of 0.9887890 and p < 0.01, leaving us uttering "Oh my watt!" Over the span of 2012 to 2021, the solar power surge seems to have sparked an equally illuminating surge in dollar store inquiries, casting a luminous glow on the offbeat but captivating dance between renewable energy and consumer frugality.
[[INTRODUCTION]]
INTRODUCTION
In the pursuit of understanding the enigmatic dance between renewable energy and consumer behavior, we often find ourselves drawn towards the most unexpected discoveries. As we delve into the world of solar power generation in Uruguay and the fervor for dollar stores, we embark on a journey that illuminates the quirky yet compelling connection between these seemingly unrelated phenomena.
The allure of renewable energy has captivated the global stage, with solar power emerging as a shining beacon in this narrative. Meanwhile, the ubiquitous dollar store, the haven of thrifty shoppers and bargain hunters, has embedded itself firmly in consumer consciousness. In what can only be described as a serendipitous collision of data analytics and curiosity, our investigation seeks to unravel the correlation between these two distinct domains.
While the serious-minded may raise an eyebrow at the juxtaposition of solar power and dollar store searches, we cannot help but marvel at the unexpected twists our journey has unveiled. Through the lens of statistical analysis and digital footprints, we aim to shed light on this captivating relationship, all while maintaining a healthy sense of humor and wonder.
But before we plunge headfirst into the rays of solar power and bargain-hunting quests, we must first lay the groundwork for our exploration. Join us as we embark on a quest to uncover the peculiar connection between harnessing the sun's energy and tracking down the nearest trove of budget-friendly treasures. As we dive into the nuances of our findings, prepare to be enlightened and perhaps even chuckle at the illuminating correlation we are about to unveil.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
METHODOLOGY
In our quest to uncover the luminous connection between solar power generation in Uruguay and the search fervor for "dollar store near me," we embarked on a data-driven expedition through the tangled web of digital footprints and statistical analysis. Strapping on our metaphorical sun hats and frugality goggles, we embraced the challenge with a mix of steadfast determination and a touch of mischief.
Data Collection: We scoured the vast expanse of the internet, sifting through copious amounts of data from reputable sources, including the Energy Information Administration and Google Trends. Like intrepid explorers navigating uncharted terrain, we meticulously gathered information spanning the years 2012 to 2021, capturing the ebbs and flows of solar power generation and the ebb-and-flow of dollar store inquiries. It was a veritable treasure hunt, albeit one filled with statistical formulas and search algorithms instead of traditional buried riches.
Solar Power Generation: To quantify the solar power output in Uruguay, we delved into the annals of energy statistics with fervor rivaling that of a sunseeker in the midst of a solar eclipse. Our primary data source, the Energy Information Administration, provided us with a radiantly comprehensive picture of solar power generation, allowing us to bask in the kilowatt-hour brilliance of Uruguay's solar energy output.
Dollar Store Searches: Meanwhile, like penny-pinching sleuths on the trail of a budget-friendly mystery, we extracted data on Google searches for "dollar store near me" from Google Trends. With a keen eye for patterns and anomalies, we diligently charted the frequency and intensity of these searches, all the while marveling at the enthusiasm for thrifty acquisitions and affordable treasures.
Statistical Analysis: Armed with a formidable array of statistical tools and an ample supply of caffeinated beverages, we set out to unravel the clandestine connection between solar power and dollar store inquiries. Employing correlation coefficients, p-values, and a touch of statistical wizardry, we sought to illuminate the potential relationship between these seemingly disparate domains. Our quest for statistical significance was not without its own brand of adventure, as we encountered the occasional statistical wild goose chase and the elusive but illustrious p-value threshold.
Ethical Considerations: In our pursuit of knowledge, we remained steadfast in upholding the principles of ethical data usage and integrity. Our analyses were conducted with the utmost respect for privacy and accuracy, as we navigated the complex terrain of digital data with unwavering dedication to ethical research practices.
In essence, our methodology encapsulates the lighthearted spirit of inquiry and the rigorous pursuit of knowledge as we sought to shed light on the unexpected correlation between solar power generation and the quest for budget-friendly bargains. As we venture forth into the realm of findings and conclusions, let us harness the power of data-driven whimsy to illuminate the provocative link between harnessing the sun's energy and pursuing the allure of low-cost treasures.
Model: gpt-3.5-turbo-1106
System prompt: You are a 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 Uruguay and Google searches for 'dollar store near me'. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Your research team collected data from all across the internet, but mostly just used information from Energy Information Administration and Google Trends .
For the time period 2012 to 2021, you found a correlation 0.9887890, r-squared of 0.9777036, 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]]
Shining a Light on Solar Power and Dollar Store Fervor: A Sunny Connection
[[ABSTRACT]]
As the push for renewable energy gains momentum, we took a whimsical detour to explore the unexpected correlation between solar power generation in Uruguay and Google searches for "dollar store near me." Leveraging data from the Energy Information Administration and Google Trends, we navigated through a sea of numbers and algorithms to shine a light on this curious relationship. Our findings revealed a striking correlation coefficient of 0.9887890 and p < 0.01, leaving us uttering "Oh my watt!" Over the span of 2012 to 2021, the solar power surge seems to have sparked an equally illuminating surge in dollar store inquiries, casting a luminous glow on the offbeat but captivating dance between renewable energy and consumer frugality.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
INTRODUCTION
In the pursuit of understanding the enigmatic dance between renewable energy and consumer behavior, we often find ourselves drawn towards the most unexpected discoveries. As we delve into the world of solar power generation in Uruguay and the fervor for dollar stores, we embark on a journey that illuminates the quirky yet compelling connection between these seemingly unrelated phenomena.
The allure of renewable energy has captivated the global stage, with solar power emerging as a shining beacon in this narrative. Meanwhile, the ubiquitous dollar store, the haven of thrifty shoppers and bargain hunters, has embedded itself firmly in consumer consciousness. In what can only be described as a serendipitous collision of data analytics and curiosity, our investigation seeks to unravel the correlation between these two distinct domains.
While the serious-minded may raise an eyebrow at the juxtaposition of solar power and dollar store searches, we cannot help but marvel at the unexpected twists our journey has unveiled. Through the lens of statistical analysis and digital footprints, we aim to shed light on this captivating relationship, all while maintaining a healthy sense of humor and wonder.
But before we plunge headfirst into the rays of solar power and bargain-hunting quests, we must first lay the groundwork for our exploration. Join us as we embark on a quest to uncover the peculiar connection between harnessing the sun's energy and tracking down the nearest trove of budget-friendly treasures. As we dive into the nuances of our findings, prepare to be enlightened and perhaps even chuckle at the illuminating correlation we are about to unveil.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The results of our investigation shed a luminous glow on the unlikely correlation between solar power generation in Uruguay and Google searches for "dollar store near me." We found a remarkably high correlation coefficient of 0.9887890, suggesting a strong positive relationship between these two variables. The coefficient of determination (r-squared) of 0.9777036 further underscores the robustness of this association, indicating that approximately 97.77% of the variability in dollar store searches can be explained by the variability in solar power generation. By any standard, this is a sunshine-bright result that left us exclaiming, "Solar power and dollar stores – who knew they'd make such a radiant pair?"
The statistical significance of our findings, with a p-value of less than 0.01, provides additional affirmation of the substantial relationship between these seemingly disparate domains. The strength of the correlation suggests that as solar power generation in Uruguay experiences fluctuations, there is a striking parallel in the intensity of searches for nearby dollar stores. The synergy between renewable energy and consumer behavior appears to shine through, casting a whimsical yet captivating light on the intersection of sustainability and frugality.
Fig. 1 illustrates the scatterplot portraying the robust correlation between solar power generation and dollar store searches. The tightly clustered data points form a nearly linear pattern, showcasing the compelling interplay between these variables. It is a visual testament to the unexpected yet undeniable connection we've unveiled – proof that even in the realm of research, there's always room for a dash of serendipity and a glimmer of amusement.
The solar-powered spotlight we've cast on this curious nexus prompts us to contemplate the radiant possibilities that lie at the intersection of renewable energy and consumer behavior. Our findings not only illuminate this unorthodox relationship but also beckon us to ponder the broader implications of such correlations in a world abuzz with data and possibilities. As we bask in the glow of our discoveries, we invite fellow researchers and enthusiasts to join us in embracing the playfulness and poignancy of uncovering unexpected connections in the expansive landscape of research and inquiry. For as our study illuminates, beneath the sunlit surface, there may just be a trove of intriguing associations waiting to be unearthed.
Model: gpt-3.5-turbo-1106
System prompt: You are a 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 Uruguay and Google searches for 'dollar store near me'. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Limit your response to 500 tokens.
Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.
Do not write a conclusion. I will add a conclusion after this.
[[TITLE]]
Shining a Light on Solar Power and Dollar Store Fervor: A Sunny Connection
[[ABSTRACT]]
As the push for renewable energy gains momentum, we took a whimsical detour to explore the unexpected correlation between solar power generation in Uruguay and Google searches for "dollar store near me." Leveraging data from the Energy Information Administration and Google Trends, we navigated through a sea of numbers and algorithms to shine a light on this curious relationship. Our findings revealed a striking correlation coefficient of 0.9887890 and p < 0.01, leaving us uttering "Oh my watt!" Over the span of 2012 to 2021, the solar power surge seems to have sparked an equally illuminating surge in dollar store inquiries, casting a luminous glow on the offbeat but captivating dance between renewable energy and consumer frugality.
[[LITERATURE REVIEW]]
In their seminal work, Smith and Doe (2015) expound upon the intricacies of solar power generation and its impact on consumer behavior, with a particular focus on emerging markets. This work laid a solid foundation for understanding the ripple effects of renewable energy adoption on various facets of society. Similarly, Jones (2018) delved into the psychological underpinnings of bargain hunting and the allure of dollar stores, providing nuanced insights into the thrifty mindset and its intersection with retail trends.
However, as we navigate through the realm of scholarly discourse, we encounter a delightful array of sources that veer into unexpected tangents. For instance, in "Sun Power: The Science and Art of Harnessing Solar Energy" by Energy Enthusiast Quarterly (2017), the authors traverse the technical landscape of solar power but also sprinkle in whimsical anecdotes and puns, making this read an illuminating yet chuckle-inducing experience.
Turning to the world of fiction, we stumble upon "Dollar Store Mysteries" by Penny Pincher Noir (2016), a captivating novel that weaves a compelling narrative around the mysterious occurrences in a dollar store, interspersed with witty observations about consumer quirks. Meanwhile, "Solar Flares and Dollar Sign Woes" by Bright Sparks Fiction (2019) takes readers on a zany adventure where solar flares somehow trigger a surge in dollar store mayhem, blending science and frivolity in a way that would make even the most serious researcher crack a smile.
As we meander further into the realm of whimsy and pop culture, we recall movies with tangential relevance to our offbeat inquiry. Films like "Sunshine Savings" and "The Dollar Store Diaries" may not be directly related to our scholarly pursuits, but their themes of resourcefulness and unexpected connections serve as a reminder that sometimes the most peculiar correlations can hold the key to enlightenment. And let's not forget the classic "Dollar Store Detectives: The Quest for Bargain Brilliance," a film that takes viewers on a rollicking, albeit improbable, adventure through the world of discount shopping and detective work, leaving audiences with a profound "penny for your thoughts" moment.
In summary, while our literature review journey began with earnest scholarly works, it has evolved into a whimsical odyssey through the unexpected nooks and crannies of solar power and dollar store fascination. Join us as we unravel the enigmatic connection between harnessing the sun's energy and the quest for thrifty treasures, all while maintaining a healthy dose of levity and wonder.
[[RESULTS]]
The results of our investigation shed a luminous glow on the unlikely correlation between solar power generation in Uruguay and Google searches for "dollar store near me." We found a remarkably high correlation coefficient of 0.9887890, suggesting a strong positive relationship between these two variables. The coefficient of determination (r-squared) of 0.9777036 further underscores the robustness of this association, indicating that approximately 97.77% of the variability in dollar store searches can be explained by the variability in solar power generation. By any standard, this is a sunshine-bright result that left us exclaiming, "Solar power and dollar stores – who knew they'd make such a radiant pair?"
The statistical significance of our findings, with a p-value of less than 0.01, provides additional affirmation of the substantial relationship between these seemingly disparate domains. The strength of the correlation suggests that as solar power generation in Uruguay experiences fluctuations, there is a striking parallel in the intensity of searches for nearby dollar stores. The synergy between renewable energy and consumer behavior appears to shine through, casting a whimsical yet captivating light on the intersection of sustainability and frugality.
Fig. 1 illustrates the scatterplot portraying the robust correlation between solar power generation and dollar store searches. The tightly clustered data points form a nearly linear pattern, showcasing the compelling interplay between these variables. It is a visual testament to the unexpected yet undeniable connection we've unveiled – proof that even in the realm of research, there's always room for a dash of serendipity and a glimmer of amusement.
The solar-powered spotlight we've cast on this curious nexus prompts us to contemplate the radiant possibilities that lie at the intersection of renewable energy and consumer behavior. Our findings not only illuminate this unorthodox relationship but also beckon us to ponder the broader implications of such correlations in a world abuzz with data and possibilities. As we bask in the glow of our discoveries, we invite fellow researchers and enthusiasts to join us in embracing the playfulness and poignancy of uncovering unexpected connections in the expansive landscape of research and inquiry. For as our study illuminates, beneath the sunlit surface, there may just be a trove of intriguing associations waiting to be unearthed.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
Our investigation into the correlation between solar power generation in Uruguay and Google searches for "dollar store near me" has left us positively illuminated by the implications of our findings. While at first glance, this curious link may seem as unexpected as a solar eclipse during a midnight sale at a dollar store, our results have shed a radiant light on the intriguing relationship between renewable energy adoption and consumer behavior.
The robust correlation coefficient of 0.9887890 we unearthed presents a compelling case for the interconnectedness of these seemingly disparate variables. It's as though the sun itself is nudging consumers toward the glow of frugality, much like a cosmic nudibranch coaxing a school of sardines into an unexpected formation. Our results not only echo the work of Smith and Doe (2015) and Jones (2018), who proffered insights into the impact of solar power on consumer behavior, but also seemingly corroborate the whimsical tangents ventured by the authors of "Solar Flares and Dollar Sign Woes" and "Dollar Store Mysteries." Who would have thought that solar flares and budget-friendly shopping could dance to the same beat?
The statistical significance of our findings, with a p-value of less than 0.01, adds further gravitas to this sunlit revelation. It's as if the universe itself is orchestrating an elaborate comedy of errors, weaving together the twirling photons of the sun and the fervent searches for economical trinkets to create a veritable celestial ballet. It appears that the brightness of solar power generation casts a gleaming spotlight on the thrifty allure of dollar stores, like the lure of a shiny bauble in a sunbeam.
The scatterplot in Fig. 1 is a visual testament to the compelling alignment between these variables, resembling a constellation of data points playing hide-and-seek in broad daylight. It's as if the very fabric of statistical analysis is joining in our mirthful revelry, giving a playful wink to the idea that unexpected correlations can hold a treasure trove of insights.
As we ponder the implications of our discoveries, we find ourselves drawn to the delightful intersections of sustainability, consumer behavior, and the whimsical mysteries of scholarly inquiry. Who knew that beneath the sunlit surface of research, there lay such an array of unlikely yet radiant relationships waiting to be unfurled? Our findings beckon us to embrace the inquisitive spirit that fuels our search for knowledge, reminding us that even in the realm of serious inquiry, there's always room for a splash of sunshine and a touch of humor. For indeed, as countless dollar store trinkets can attest, sometimes the most unexpected connections can shine the brightest.
Model: gpt-3.5-turbo-1106
System prompt: You are a 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 Uruguay and Google searches for 'dollar store near me'. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.
Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Shining a Light on Solar Power and Dollar Store Fervor: A Sunny Connection
[[ABSTRACT]]
As the push for renewable energy gains momentum, we took a whimsical detour to explore the unexpected correlation between solar power generation in Uruguay and Google searches for "dollar store near me." Leveraging data from the Energy Information Administration and Google Trends, we navigated through a sea of numbers and algorithms to shine a light on this curious relationship. Our findings revealed a striking correlation coefficient of 0.9887890 and p < 0.01, leaving us uttering "Oh my watt!" Over the span of 2012 to 2021, the solar power surge seems to have sparked an equally illuminating surge in dollar store inquiries, casting a luminous glow on the offbeat but captivating dance between renewable energy and consumer frugality.
[[INTRDUCTION]]
INTRODUCTION
In the pursuit of understanding the enigmatic dance between renewable energy and consumer behavior, we often find ourselves drawn towards the most unexpected discoveries. As we delve into the world of solar power generation in Uruguay and the fervor for dollar stores, we embark on a journey that illuminates the quirky yet compelling connection between these seemingly unrelated phenomena.
The allure of renewable energy has captivated the global stage, with solar power emerging as a shining beacon in this narrative. Meanwhile, the ubiquitous dollar store, the haven of thrifty shoppers and bargain hunters, has embedded itself firmly in consumer consciousness. In what can only be described as a serendipitous collision of data analytics and curiosity, our investigation seeks to unravel the correlation between these two distinct domains.
While the serious-minded may raise an eyebrow at the juxtaposition of solar power and dollar store searches, we cannot help but marvel at the unexpected twists our journey has unveiled. Through the lens of statistical analysis and digital footprints, we aim to shed light on this captivating relationship, all while maintaining a healthy sense of humor and wonder.
But before we plunge headfirst into the rays of solar power and bargain-hunting quests, we must first lay the groundwork for our exploration. Join us as we embark on a quest to uncover the peculiar connection between harnessing the sun's energy and tracking down the nearest trove of budget-friendly treasures. As we dive into the nuances of our findings, prepare to be enlightened and perhaps even chuckle at the illuminating correlation we are about to unveil.
[[RESULTS]]
The results of our investigation shed a luminous glow on the unlikely correlation between solar power generation in Uruguay and Google searches for "dollar store near me." We found a remarkably high correlation coefficient of 0.9887890, suggesting a strong positive relationship between these two variables. The coefficient of determination (r-squared) of 0.9777036 further underscores the robustness of this association, indicating that approximately 97.77% of the variability in dollar store searches can be explained by the variability in solar power generation. By any standard, this is a sunshine-bright result that left us exclaiming, "Solar power and dollar stores – who knew they'd make such a radiant pair?"
The statistical significance of our findings, with a p-value of less than 0.01, provides additional affirmation of the substantial relationship between these seemingly disparate domains. The strength of the correlation suggests that as solar power generation in Uruguay experiences fluctuations, there is a striking parallel in the intensity of searches for nearby dollar stores. The synergy between renewable energy and consumer behavior appears to shine through, casting a whimsical yet captivating light on the intersection of sustainability and frugality.
Fig. 1 illustrates the scatterplot portraying the robust correlation between solar power generation and dollar store searches. The tightly clustered data points form a nearly linear pattern, showcasing the compelling interplay between these variables. It is a visual testament to the unexpected yet undeniable connection we've unveiled – proof that even in the realm of research, there's always room for a dash of serendipity and a glimmer of amusement.
The solar-powered spotlight we've cast on this curious nexus prompts us to contemplate the radiant possibilities that lie at the intersection of renewable energy and consumer behavior. Our findings not only illuminate this unorthodox relationship but also beckon us to ponder the broader implications of such correlations in a world abuzz with data and possibilities. As we bask in the glow of our discoveries, we invite fellow researchers and enthusiasts to join us in embracing the playfulness and poignancy of uncovering unexpected connections in the expansive landscape of research and inquiry. For as our study illuminates, beneath the sunlit surface, there may just be a trove of intriguing associations waiting to be unearthed.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, as we bring our exploration to a close, we find ourselves beaming with delight at the captivating connection between solar power generation in Uruguay and the search fervor for "dollar store near me." The robust correlation coefficient and statistical significance of our findings offer a lighthearted yet illuminating insight into the whimsical dance between renewable energy and consumer thriftiness. It seems that as the sun's rays power up, so does the quest for bargain treasures, perhaps leaving us to ponder, "Do we follow the light or the savings beacon?"
While some might raise eyebrows at the unexpected pairing of solar power and dollar store inquiries, our study reveals that beneath the surface of seemingly unrelated phenomena lies a radiant thread weaving them together. Our findings not only shine a sunbeam on this quirky correlation but also provoke a chuckle, reminding us that even in the realm of research, there's room for a dash of mirth and marvel.
As we bid adieu to our study, we assert that our findings shed enough light on this unusual linkage, leaving no need for further investigation. After all, the sun has set on this peculiar research adventure, and the dollar store doors are wide open for exploration – both powered by a sunnier disposition and an ever-questing spirit for uncovering the unexpected. So, let's raise a glass (at a dollar store, perhaps?) to the delightful dance between solar power and budget-hunting, and may the rays of curiosity continue to illuminate the quirky landscapes of research and inquiry.
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 Shining a Light on Solar Power and Dollar Store Fervor: A Sunny Connection. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Renewable Energy and Economical Enthusiasm
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 Shining a Light on Solar Power and Dollar Store Fervor: A Sunny Connection. Respond only with the name of a fictional organization.
ChatGPT:
The Institute for Solar Economic Analysis and Discount Retail 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 Shining a Light on Solar Power and Dollar Store Fervor: A Sunny Connection with an abstract of As the push for renewable energy gains momentum, we took a whimsical detour to explore the unexpected correlation between solar power generation in Uruguay and Google searches for "dollar store near me." Leveraging data from the Energy Information Administration and Google Trends, we navigated through a sea of numbers and algorithms to shine a light on this curious relationship. Our findings revealed a striking correlation coefficient of 0.9887890 and p < 0.01, leaving us uttering "Oh my watt!" Over the span of 2012 to 2021, the solar power surge seems to have sparked an equally illuminating surge in dollar store inquiries, casting a luminous glow on the offbeat but captivating dance between renewable energy and consumer frugality.
ChatGPT:
solar power generation, renewable energy, dollar store, Google searches, Uruguay, correlation, Energy Information Administration, Google Trends, relationship, correlation coefficient, p value, algorithms, solar power surge, consumer frugality
*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 UruguayDetailed data title: Total solar power generated in Uruguay in billion kWh
Source: Energy Information Administration
See what else correlates with Solar power generated in Uruguay
Google searches for 'dollar store near me'
Detailed data title: Relative volume of Google searches for 'dollar store near me' (Worldwide, without quotes)
Source: Google Trends
Additional Info: Relative search volume (not absolute numbers)
See what else correlates with Google searches for 'dollar store near me'
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 = 0.9777036 (Coefficient of determination)
This means 97.8% of the change in the one variable (i.e., Google searches for 'dollar store near me') is predictable based on the change in the other (i.e., Solar power generated in Uruguay) over the 10 years from 2012 through 2021.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 6.8E-8. 0.0000000681873695902999100000
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 0.99 in 6.8E-6% of random cases. Said differently, if you correlated 14,665,473 random variables You don't actually need 14 million 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 9 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 9 because we have two variables measured over a period of 10 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.
[ 0.95, 1 ] 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.
| 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | |
| Solar power generated in Uruguay (Billion kWh) | 0.001 | 0.001 | 0.003 | 0.049 | 0.152 | 0.269 | 0.414 | 0.424 | 0.462 | 0.483 |
| Google searches for 'dollar store near me' (Rel. search volume) | 1 | 3.25 | 5.75 | 16.0833 | 30.75 | 45.8333 | 56.8333 | 69.1667 | 72.5 | 66.9167 |
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([0.001,0.001,0.003,0.049,0.152,0.269,0.414,0.424,0.462,0.483,])
array_2 = np.array([1,3.25,5.75,16.0833,30.75,45.8333,56.8333,69.1667,72.5,66.9167,])
array_1_name = "Solar power generated in Uruguay"
array_2_name = "Google searches for 'dollar store near me'"
# 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 Uruguay
- Line chart for only Google searches for 'dollar store near me'
- AI-generated correlation image
- The spurious research paper: Shining a Light on Solar Power and Dollar Store Fervor: A Sunny Connection
I'm genuinely thankful for your rating!
Correlation ID: 1651 · Black Variable ID: 24084 · Red Variable ID: 1375
