Download png, svg
AI explanation
As the solar panels in Nicaragua soaked up the sun's energy, they inadvertently beamed a strong craving for fresh, raw fish into the local sushi chefs' minds. This resulted in an abundance of delicious sushi options near you, as the chefs wholeheartedly embraced their newfound love for creating artful and delectable sushi dishes. So, thanks to the sunny side of solar power, you now have a delightful dilemma of choosing where to get your sushi fix! And remember, it's sushine all the way!
Model: dalle-3
Prompt: Generate an image inspired by a futuristic setting. Picture a vibrant Nicaraguan countryside, with fields of gleaming solar panels basking under the radiant sun. In the foreground, a figure is seen holding a sleek, high-tech device, engrossed in searching for "sushi near me" on a cutting-edge smartphone. The juxtaposition of sustainable energy and modern technology in a natural setting should evoke a dynamic and visually intriguing composition. 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 Nicaragua and Google searches for 'sushi 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: High-tech 3D Pixar Style Cubism Celtic art Celtic art
ChatGPT: High-tech
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 Nicaragua and Google searches for 'sushi near me' together. Keep the description simple.
ChatGPT: A bright Nicaraguan landscape with solar panels soaking up the sun's rays, while nearby, someone uses their phone to search for "sushi 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: [ High-tech ] and depicting this scene: A bright Nicaraguan landscape with solar panels soaking up the sun's rays, while nearby, someone uses their phone to search for "sushi near me" on Google. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image inspired by a futuristic setting. Picture a vibrant Nicaraguan countryside, with fields of gleaming solar panels basking under the radiant sun. In the foreground, a figure is seen holding a sleek, high-tech device, engrossed in searching for "sushi near me" on a cutting-edge smartphone. The juxtaposition of sustainable energy and modern technology in a natural setting should evoke a dynamic and visually intriguing composition.
*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 Nicaragua caused sushi near me (Google searches for 'sushi near me') to increase.
AI academic paper
 |
From Solar Power to Sushi: A Bright Connection Journal of Renewable Energy and Culinary Arts Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.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 Nicaragua and Google searches for 'sushi near me'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, 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 0.9602732 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]]
From Solar Power to Sushi: A Bright Connection
[[ABSTRACT]]
This study delves into the unexpected intertwining of solar power generation in Nicaragua and Google searches for 'sushi near me'. Utilizing data from the Energy Information Administration and Google Trends, we employed rigorous statistical analysis to uncover a correlation coefficient of 0.9602732 and a p-value less than 0.01 throughout the period of 2004 to 2021. Our findings shed light on the captivating relationship between these seemingly disparate entities, highlighting the potential ripple effects of sustainable energy sources on culinary cravings. This paper serves as a shining example of the quest for knowledge, illuminating the hilariously unanticipated connections that lurk within the realms of data analysis.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.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 Nicaragua and Google searches for 'sushi near me'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Here is the title and abstract of the paper:
[[TITLE]]
From Solar Power to Sushi: A Bright Connection
[[ABSTRACT]]
This study delves into the unexpected intertwining of solar power generation in Nicaragua and Google searches for 'sushi near me'. Utilizing data from the Energy Information Administration and Google Trends, we employed rigorous statistical analysis to uncover a correlation coefficient of 0.9602732 and a p-value less than 0.01 throughout the period of 2004 to 2021. Our findings shed light on the captivating relationship between these seemingly disparate entities, highlighting the potential ripple effects of sustainable energy sources on culinary cravings. This paper serves as a shining example of the quest for knowledge, illuminating the hilariously unanticipated connections that lurk within the realms of data analysis.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
The intertwined, and at first glance, seemingly unrelated worlds of solar power generation in Nicaragua and Google searches for 'sushi near me' have come together in an unexpected and illuminating manner. While one conjures images of renewable energy and environmental sustainability, the other evokes thoughts of delectable morsels of raw fish artfully arranged on a bed of vinegared rice. However, as the saying goes, "there's more than meets the eye," and in the realm of data analysis, such unexpected connections often emerge, much like finding a pearl in an oyster; or in this case, discovering a correlation between sustainability and seafood cravings.
The peculiar but captivating relationship between these disparate entities sparked our curiosity, leading us to embark on an expedition through a sea of data. As we delved into the depths of the Energy Information Administration's solar power generation data and navigated the waves of Google Trends' search statistics, we found ourselves embarking on a metaphoric fishing trip, casting out lines of inquiry and reeling in unexpected insights.
This paper aims to shed light on the unprecedented link between the solar power landscape in Nicaragua and the seemingly unrelated yearnings for sushi. Our rigorous statistical analysis has unveiled a correlation coefficient that would make any statistician raise an eyebrow – a whopping 0.9602732. With the p-value comfortably lounging beneath the magic 0.01 threshold, our findings have buoyed our confidence in the strength of this connection, sparking a flame of curiosity that glows brighter than the midday sun.
As with any expedition, this journey was not without its challenges and surprises. The initial discovery of this correlation left us feeling a bit like sailors who stumbled upon an unexpected current – by turns exhilarated and bewildered. Nevertheless, we steered our ship of analysis through the choppy waters of data variance and confounding factors, setting our sights on the horizon of understanding with unyielding determination.
Through our findings, we illuminatingly reveal the ramifications of sustainable energy sources on culinary desires. The results of this study transcend mere statistical significance, transcending into the realm of deliciously unexpected connections. This paper serves as a lighthouse, casting its beam of knowledge across the shadowy expanse of data analysis, guiding fellow researchers toward unanticipated revelations.
In conclusion, our research adds not only sparkle but also an unexpected shimmer to the field of statistical and data analysis. The captivating linkage between solar power generation in Nicaragua and the Google searches for 'sushi near me' exemplifies the serendipitous nature of data exploration, reminding us that within the labyrinth of information lie unexpected treasures waiting to be discovered. In pursuit of knowledge, we crack open the oyster of data and uncover the hidden pearl of curiosity, enriching our understanding of the world through these delightfully unexpected connections.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.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 Nicaragua and Google searches for 'sushi near me'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.
Make up the lorem and ipsum part, but make it sound related to the topic at hand.
Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then cite some social media posts you read that seem to be related.
Here is the title and abstract of the paper:
[[TITLE]]
From Solar Power to Sushi: A Bright Connection
[[ABSTRACT]]
This study delves into the unexpected intertwining of solar power generation in Nicaragua and Google searches for 'sushi near me'. Utilizing data from the Energy Information Administration and Google Trends, we employed rigorous statistical analysis to uncover a correlation coefficient of 0.9602732 and a p-value less than 0.01 throughout the period of 2004 to 2021. Our findings shed light on the captivating relationship between these seemingly disparate entities, highlighting the potential ripple effects of sustainable energy sources on culinary cravings. This paper serves as a shining example of the quest for knowledge, illuminating the hilariously unanticipated connections that lurk within the realms of data analysis.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The intertwined, and at first glance, seemingly unrelated worlds of solar power generation in Nicaragua and Google searches for 'sushi near me' have come together in an unexpected and illuminating manner. While one conjures images of renewable energy and environmental sustainability, the other evokes thoughts of delectable morsels of raw fish artfully arranged on a bed of vinegared rice. However, as the saying goes, "there's more than meets the eye," and in the realm of data analysis, such unexpected connections often emerge, much like finding a pearl in an oyster; or in this case, discovering a correlation between sustainability and seafood cravings.
The peculiar but captivating relationship between these disparate entities sparked our curiosity, leading us to embark on an expedition through a sea of data. As we delved into the depths of the Energy Information Administration's solar power generation data and navigated the waves of Google Trends' search statistics, we found ourselves embarking on a metaphoric fishing trip, casting out lines of inquiry and reeling in unexpected insights.
This paper aims to shed light on the unprecedented link between the solar power landscape in Nicaragua and the seemingly unrelated yearnings for sushi. Our rigorous statistical analysis has unveiled a correlation coefficient that would make any statistician raise an eyebrow – a whopping 0.9602732. With the p-value comfortably lounging beneath the magic 0.01 threshold, our findings have buoyed our confidence in the strength of this connection, sparking a flame of curiosity that glows brighter than the midday sun.
As with any expedition, this journey was not without its challenges and surprises. The initial discovery of this correlation left us feeling a bit like sailors who stumbled upon an unexpected current – by turns exhilarated and bewildered. Nevertheless, we steered our ship of analysis through the choppy waters of data variance and confounding factors, setting our sights on the horizon of understanding with unyielding determination.
Through our findings, we illuminatingly reveal the ramifications of sustainable energy sources on culinary desires. The results of this study transcend mere statistical significance, transcending into the realm of deliciously unexpected connections. This paper serves as a lighthouse, casting its beam of knowledge across the shadowy expanse of data analysis, guiding fellow researchers toward unanticipated revelations.
In conclusion, our research adds not only sparkle but also an unexpected shimmer to the field of statistical and data analysis. The captivating linkage between solar power generation in Nicaragua and the Google searches for 'sushi near me' exemplifies the serendipitous nature of data exploration, reminding us that within the labyrinth of information lie unexpected treasures waiting to be discovered. In pursuit of knowledge, we crack open the oyster of data and uncover the hidden pearl of curiosity, enriching our understanding of the world through these delightfully unexpected connections.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
In "Smith et al." the authors find that solar power generation has shown a notable increase in Nicaragua over the past two decades, attributed to a combination of government incentives, technological advancements, and increasing awareness of climate change. This burgeoning sustainable energy landscape has garnered attention within the academic community and beyond, with researchers and policymakers alike acknowledging the potential impact of such developments on global sustainability efforts.
Building upon the foundation laid by Smith and colleagues, Doe's comprehensive analysis of Google search trends reveals intriguing patterns in the search behavior of internet users, indicating a growing interest in culinary exploration and the quest for gastronomic delights. Notably, the frequency of searches for 'sushi near me' has exhibited a consistent upward trajectory, reflecting an evolving culinary landscape shaped by diverse influences and changing consumer preferences.
As we venture into more tangentially related literature, "Clean Energy and Cuisine" by Jones offers a thought-provoking exploration of the interplay between sustainable energy sources and culinary experiences. While the direct correlation between solar power generation and sushi searches may not be explicitly addressed, the broader themes of environmental consciousness and lifestyle choices present a compelling backdrop against which to contextualize our findings.
Turning to the realm of fiction, works such as "Sunshine and Sushi: An Unexpected Affair" by A. Novel and "The Solar-Powered Sushi Shop Mystery" by B. Story present imaginative narratives that, while purely fictional, offer a whimsical perspective on the potential intersections of solar energy and culinary endeavors. Though these literary creations exist firmly within the realm of artistic license, they serve as playful reminders of the boundless creativity that infuses both scientific inquiry and the human imagination.
In a more contemporary context, social media platforms have provided glimpses into the evolving dialogue surrounding solar power and sushi cravings. Anecdotal accounts, such as a tweet from @SushiSavant, pondering the compatibility of sustainable energy and sustainable seafood, serve as tantalizing morsels of informal discourse that echo the curiosity sparked by our research.
The diverse array of perspectives found within the literature reviewed underscores the multidimensional nature of the solar power-sushi connection, inviting further exploration with equal parts scholarly rigor and lighthearted curiosity. As we navigate the currents of knowledge and delve into the depths of inquiry, we are reminded that even the most unexpected pairings can yield enlightening insights, much like discovering a surprisingly harmonious fusion of flavors in an unassuming sushi roll.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.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 Nicaragua and Google searches for 'sushi near me'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
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]]
From Solar Power to Sushi: A Bright Connection
[[ABSTRACT]]
This study delves into the unexpected intertwining of solar power generation in Nicaragua and Google searches for 'sushi near me'. Utilizing data from the Energy Information Administration and Google Trends, we employed rigorous statistical analysis to uncover a correlation coefficient of 0.9602732 and a p-value less than 0.01 throughout the period of 2004 to 2021. Our findings shed light on the captivating relationship between these seemingly disparate entities, highlighting the potential ripple effects of sustainable energy sources on culinary cravings. This paper serves as a shining example of the quest for knowledge, illuminating the hilariously unanticipated connections that lurk within the realms of data analysis.
[[INTRODUCTION]]
The intertwined, and at first glance, seemingly unrelated worlds of solar power generation in Nicaragua and Google searches for 'sushi near me' have come together in an unexpected and illuminating manner. While one conjures images of renewable energy and environmental sustainability, the other evokes thoughts of delectable morsels of raw fish artfully arranged on a bed of vinegared rice. However, as the saying goes, "there's more than meets the eye," and in the realm of data analysis, such unexpected connections often emerge, much like finding a pearl in an oyster; or in this case, discovering a correlation between sustainability and seafood cravings.
The peculiar but captivating relationship between these disparate entities sparked our curiosity, leading us to embark on an expedition through a sea of data. As we delved into the depths of the Energy Information Administration's solar power generation data and navigated the waves of Google Trends' search statistics, we found ourselves embarking on a metaphoric fishing trip, casting out lines of inquiry and reeling in unexpected insights.
This paper aims to shed light on the unprecedented link between the solar power landscape in Nicaragua and the seemingly unrelated yearnings for sushi. Our rigorous statistical analysis has unveiled a correlation coefficient that would make any statistician raise an eyebrow – a whopping 0.9602732. With the p-value comfortably lounging beneath the magic 0.01 threshold, our findings have buoyed our confidence in the strength of this connection, sparking a flame of curiosity that glows brighter than the midday sun.
As with any expedition, this journey was not without its challenges and surprises. The initial discovery of this correlation left us feeling a bit like sailors who stumbled upon an unexpected current – by turns exhilarated and bewildered. Nevertheless, we steered our ship of analysis through the choppy waters of data variance and confounding factors, setting our sights on the horizon of understanding with unyielding determination.
Through our findings, we illuminatingly reveal the ramifications of sustainable energy sources on culinary desires. The results of this study transcend mere statistical significance, transcending into the realm of deliciously unexpected connections. This paper serves as a lighthouse, casting its beam of knowledge across the shadowy expanse of data analysis, guiding fellow researchers toward unanticipated revelations.
In conclusion, our research adds not only sparkle but also an unexpected shimmer to the field of statistical and data analysis. The captivating linkage between solar power generation in Nicaragua and the Google searches for 'sushi near me' exemplifies the serendipitous nature of data exploration, reminding us that within the labyrinth of information lie unexpected treasures waiting to be discovered. In pursuit of knowledge, we crack open the oyster of data and uncover the hidden pearl of curiosity, enriching our understanding of the world through these delightfully unexpected connections.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To unearth the enthralling connection between solar power generation in Nicaragua and the Google searches for 'sushi near me', we employed a multifaceted methodology that combined rigorous statistical analysis with a hint of whimsy. Our data collection and analysis process can be likened to a culinary experiment – blending the measured precision of a kitchen scale with the dash of spontaneity that makes any dish truly captivating.
First and foremost, we cast our net wide across the digital expanse, gathering data from the depths of the Energy Information Administration for solar power generation in Nicaragua, and trawling the waters of Google Trends for delectable morsels of search statistics related to sushi. This expansive data collection process represented the initial phase of our research endeavor, akin to setting sail on a culinary expedition to uncover unexpected flavors and aromas.
While methodologically outlandish, we were determined to cast a wide net to capture the essence of these disparate yet mysteriously linked phenomena. We treated each data point like a precious ingredient, carefully measuring and examining its nuances to ensure the validity and robustness of our analysis.
With a treasure trove of data at our disposal, we harnessed the power of statistical analysis tools to sift through the sea of information. Employing correlation analysis, time series modeling, and multivariate regression, we crafted a recipe for uncovering the tantalizing relationship between solar power generation and sushi cravings.
The statistical analysis process itself resembled the delicate art of sushi-making, requiring a delicate balance of precision and finesse. Just as a sushi chef meticulously crafts each roll, we meticulously examined the data, rolling it into insightful patterns and uncovering the hidden flavors of correlation, statistical significance, and predictive power.
To ensure the robustness of our findings, we meticulously considered potential confounding variables, akin to the nuanced interplay of flavors in a well-prepared sushi dish. We adjusted for seasonal variations, economic indicators, and cultural shifts, aiming to distill the essence of the solar-sushi connection from the complexities of real-world dynamics.
The timeframe of our analysis spanned from 2004 to 2021, encompassing a rich tapestry of solar power generation trends and sushi-related search activity. This extensive temporal scope allowed us to capture the ebb and flow of both phenomena, tracing their evolutionary arcs and uncovering patterns that transcended mere coincidence.
In summary, our methodology represented an artful blend of precision, curiosity, and a healthy dose of whimsy, echoing the unexpectedness of the solar-sushi connection itself. Through this playful yet robust approach, we endeavored to serve up a tantalizing dish of empirical insight, garnished with the undeniable allure of unexpected connections.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.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 Nicaragua and Google searches for 'sushi near me'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
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 0.9602732, r-squared of 0.9221246, 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]]
From Solar Power to Sushi: A Bright Connection
[[ABSTRACT]]
This study delves into the unexpected intertwining of solar power generation in Nicaragua and Google searches for 'sushi near me'. Utilizing data from the Energy Information Administration and Google Trends, we employed rigorous statistical analysis to uncover a correlation coefficient of 0.9602732 and a p-value less than 0.01 throughout the period of 2004 to 2021. Our findings shed light on the captivating relationship between these seemingly disparate entities, highlighting the potential ripple effects of sustainable energy sources on culinary cravings. This paper serves as a shining example of the quest for knowledge, illuminating the hilariously unanticipated connections that lurk within the realms of data analysis.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
The intertwined, and at first glance, seemingly unrelated worlds of solar power generation in Nicaragua and Google searches for 'sushi near me' have come together in an unexpected and illuminating manner. While one conjures images of renewable energy and environmental sustainability, the other evokes thoughts of delectable morsels of raw fish artfully arranged on a bed of vinegared rice. However, as the saying goes, "there's more than meets the eye," and in the realm of data analysis, such unexpected connections often emerge, much like finding a pearl in an oyster; or in this case, discovering a correlation between sustainability and seafood cravings.
The peculiar but captivating relationship between these disparate entities sparked our curiosity, leading us to embark on an expedition through a sea of data. As we delved into the depths of the Energy Information Administration's solar power generation data and navigated the waves of Google Trends' search statistics, we found ourselves embarking on a metaphoric fishing trip, casting out lines of inquiry and reeling in unexpected insights.
This paper aims to shed light on the unprecedented link between the solar power landscape in Nicaragua and the seemingly unrelated yearnings for sushi. Our rigorous statistical analysis has unveiled a correlation coefficient that would make any statistician raise an eyebrow – a whopping 0.9602732. With the p-value comfortably lounging beneath the magic 0.01 threshold, our findings have buoyed our confidence in the strength of this connection, sparking a flame of curiosity that glows brighter than the midday sun.
As with any expedition, this journey was not without its challenges and surprises. The initial discovery of this correlation left us feeling a bit like sailors who stumbled upon an unexpected current – by turns exhilarated and bewildered. Nevertheless, we steered our ship of analysis through the choppy waters of data variance and confounding factors, setting our sights on the horizon of understanding with unyielding determination.
Through our findings, we illuminatingly reveal the ramifications of sustainable energy sources on culinary desires. The results of this study transcend mere statistical significance, transcending into the realm of deliciously unexpected connections. This paper serves as a lighthouse, casting its beam of knowledge across the shadowy expanse of data analysis, guiding fellow researchers toward unanticipated revelations.
In conclusion, our research adds not only sparkle but also an unexpected shimmer to the field of statistical and data analysis. The captivating linkage between solar power generation in Nicaragua and the Google searches for 'sushi near me' exemplifies the serendipitous nature of data exploration, reminding us that within the labyrinth of information lie unexpected treasures waiting to be discovered. In pursuit of knowledge, we crack open the oyster of data and uncover the hidden pearl of curiosity, enriching our understanding of the world through these delightfully unexpected connections.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The statistical analysis conducted on the data collected from the Energy Information Administration's solar power generation records and Google Trends' search statistics revealed a striking correlation. The correlation coefficient of 0.9602732 between solar power generation in Nicaragua and Google searches for 'sushi near me' indicates a remarkably strong positive relationship between these seemingly unrelated variables. This finding implies that as solar power generation in Nicaragua increased, so did the frequency of searches for 'sushi near me' on Google. The coefficient of determination (r-squared) of 0.9221246 suggests that approximately 92.21% of the variability in sushi search trends can be explained by the variation in solar power generation. The p-value, which is less than 0.01, underscores the statistical significance of this correlation.
Moreover, to visually illustrate the formidable connection discovered through our analysis, we present a scatterplot in Fig. 1. This scatterplot vividly portrays the unmistakable positive relationship between solar power generation and Google searches for 'sushi near me', further supporting the quantitative findings of our study. The strength of this correlation serves as a testament to the enlightening nature of data analysis, revealing unexpected and thought-provoking associations between diverse domains.
Certainly, the unearthing of such a compelling correlation between solar power generation in Nicaragua and the search for delectable sushi options emphasizes the intricate and unpredictably intertwined nature of human behavior and societal trends. In essence, our research not only sheds light on this striking connection but also serves as a beacon of insight into the captivatingly enigmatic world of statistical analysis.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.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 Nicaragua and Google searches for 'sushi near me'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Limit your response to 500 tokens.
Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.
Do not write a conclusion. I will add a conclusion after this.
[[TITLE]]
From Solar Power to Sushi: A Bright Connection
[[ABSTRACT]]
This study delves into the unexpected intertwining of solar power generation in Nicaragua and Google searches for 'sushi near me'. Utilizing data from the Energy Information Administration and Google Trends, we employed rigorous statistical analysis to uncover a correlation coefficient of 0.9602732 and a p-value less than 0.01 throughout the period of 2004 to 2021. Our findings shed light on the captivating relationship between these seemingly disparate entities, highlighting the potential ripple effects of sustainable energy sources on culinary cravings. This paper serves as a shining example of the quest for knowledge, illuminating the hilariously unanticipated connections that lurk within the realms of data analysis.
[[LITERATURE REVIEW]]
In "Smith et al." the authors find that solar power generation has shown a notable increase in Nicaragua over the past two decades, attributed to a combination of government incentives, technological advancements, and increasing awareness of climate change. This burgeoning sustainable energy landscape has garnered attention within the academic community and beyond, with researchers and policymakers alike acknowledging the potential impact of such developments on global sustainability efforts.
Building upon the foundation laid by Smith and colleagues, Doe's comprehensive analysis of Google search trends reveals intriguing patterns in the search behavior of internet users, indicating a growing interest in culinary exploration and the quest for gastronomic delights. Notably, the frequency of searches for 'sushi near me' has exhibited a consistent upward trajectory, reflecting an evolving culinary landscape shaped by diverse influences and changing consumer preferences.
As we venture into more tangentially related literature, "Clean Energy and Cuisine" by Jones offers a thought-provoking exploration of the interplay between sustainable energy sources and culinary experiences. While the direct correlation between solar power generation and sushi searches may not be explicitly addressed, the broader themes of environmental consciousness and lifestyle choices present a compelling backdrop against which to contextualize our findings.
Turning to the realm of fiction, works such as "Sunshine and Sushi: An Unexpected Affair" by A. Novel and "The Solar-Powered Sushi Shop Mystery" by B. Story present imaginative narratives that, while purely fictional, offer a whimsical perspective on the potential intersections of solar energy and culinary endeavors. Though these literary creations exist firmly within the realm of artistic license, they serve as playful reminders of the boundless creativity that infuses both scientific inquiry and the human imagination.
In a more contemporary context, social media platforms have provided glimpses into the evolving dialogue surrounding solar power and sushi cravings. Anecdotal accounts, such as a tweet from @SushiSavant, pondering the compatibility of sustainable energy and sustainable seafood, serve as tantalizing morsels of informal discourse that echo the curiosity sparked by our research.
The diverse array of perspectives found within the literature reviewed underscores the multidimensional nature of the solar power-sushi connection, inviting further exploration with equal parts scholarly rigor and lighthearted curiosity. As we navigate the currents of knowledge and delve into the depths of inquiry, we are reminded that even the most unexpected pairings can yield enlightening insights, much like discovering a surprisingly harmonious fusion of flavors in an unassuming sushi roll.
[[RESULTS]]
The statistical analysis conducted on the data collected from the Energy Information Administration's solar power generation records and Google Trends' search statistics revealed a striking correlation. The correlation coefficient of 0.9602732 between solar power generation in Nicaragua and Google searches for 'sushi near me' indicates a remarkably strong positive relationship between these seemingly unrelated variables. This finding implies that as solar power generation in Nicaragua increased, so did the frequency of searches for 'sushi near me' on Google. The coefficient of determination (r-squared) of 0.9221246 suggests that approximately 92.21% of the variability in sushi search trends can be explained by the variation in solar power generation. The p-value, which is less than 0.01, underscores the statistical significance of this correlation.
Moreover, to visually illustrate the formidable connection discovered through our analysis, we present a scatterplot in Fig. 1. This scatterplot vividly portrays the unmistakable positive relationship between solar power generation and Google searches for 'sushi near me', further supporting the quantitative findings of our study. The strength of this correlation serves as a testament to the enlightening nature of data analysis, revealing unexpected and thought-provoking associations between diverse domains.
Certainly, the unearthing of such a compelling correlation between solar power generation in Nicaragua and the search for delectable sushi options emphasizes the intricate and unpredictably intertwined nature of human behavior and societal trends. In essence, our research not only sheds light on this striking connection but also serves as a beacon of insight into the captivatingly enigmatic world of statistical analysis.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The results of our study have brought to the surface a fascinating correlation between solar power generation in Nicaragua and the propensity of individuals to seek out sushi establishments near them. The exceedingly high correlation coefficient of 0.9602732 not only astounds the mind but also raises intriguing questions about the potential interplay between sustainable energy practices and culinary inclinations. Indeed, as we ponder the implications of these findings, we cannot help but marvel at the unexpected symphony that emerges from this seemingly disparate pair.
Our results resonate with previous research by Smith et al., affirming the remarkable surge in solar power generation in Nicaragua over the past few decades. This surge, in conjunction with the increasing interest in sustainability and environmental consciousness, mirrors the societal shift towards more eco-friendly practices – a shift that may extend not only to energy consumption but also to dietary choices. The work of Doe on Google search trends further supports our findings, indicating a discernible trend in the increasing quest for gastronomic adventures, quietly implying that the allure of sushi is not only palatable but statistically significant.
The broader themes explored in the literature, fortified by our results, hint at a deliciously intertwined narrative of energy and culinary waves. The tangential literary works that whimsically ponder the fusion of solar power and sushi, while fanciful, serve as delightful reminders of the imaginative undercurrents that buoy scientific inquiry. The unexpected synergy between sustainable energy and seafood cravings leads us to consider the potential ripple effects of sustainable living on the collective unconscious, intriguingly manifesting as a hankering for delectable sushi.
Some may find it somewhat fishy that solar power generation and sushi searches exhibit such a robust association. However, the statistical rigor employed in our analysis, evidenced by the exceedingly low p-value, points to a relationship that cannot be mere happenstance. The scatterplot vividly illustrates this synchrony, much like a well-prepared sushi roll that brings together disparate elements in a harmonious fusion. The findings urge us to contemplate the profound implications of this connection, weaving a narrative that extends beyond data points into the realm of societal intricacies and gastronomic curiosities.
In essence, our research not only illuminates the unexpected nexus between solar power generation and sushi cravings but also serves as a tantalizing appetizer for further exploration into the enigmatic union of sustainable energy and culinary delights. As we delve deeper into the labyrinthine depths of statistical analysis, we are reminded that even the most divergent elements can converge to yield tantalizing insights, much like stumbling upon a fusion cuisine that captivates the senses and elevates the spirit.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.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 Nicaragua and Google searches for 'sushi near me'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.
Here are the title, abstract, introduction, and results sections.
[[TITLE]]
From Solar Power to Sushi: A Bright Connection
[[ABSTRACT]]
This study delves into the unexpected intertwining of solar power generation in Nicaragua and Google searches for 'sushi near me'. Utilizing data from the Energy Information Administration and Google Trends, we employed rigorous statistical analysis to uncover a correlation coefficient of 0.9602732 and a p-value less than 0.01 throughout the period of 2004 to 2021. Our findings shed light on the captivating relationship between these seemingly disparate entities, highlighting the potential ripple effects of sustainable energy sources on culinary cravings. This paper serves as a shining example of the quest for knowledge, illuminating the hilariously unanticipated connections that lurk within the realms of data analysis.
[[INTRDUCTION]]
The intertwined, and at first glance, seemingly unrelated worlds of solar power generation in Nicaragua and Google searches for 'sushi near me' have come together in an unexpected and illuminating manner. While one conjures images of renewable energy and environmental sustainability, the other evokes thoughts of delectable morsels of raw fish artfully arranged on a bed of vinegared rice. However, as the saying goes, "there's more than meets the eye," and in the realm of data analysis, such unexpected connections often emerge, much like finding a pearl in an oyster; or in this case, discovering a correlation between sustainability and seafood cravings.
The peculiar but captivating relationship between these disparate entities sparked our curiosity, leading us to embark on an expedition through a sea of data. As we delved into the depths of the Energy Information Administration's solar power generation data and navigated the waves of Google Trends' search statistics, we found ourselves embarking on a metaphoric fishing trip, casting out lines of inquiry and reeling in unexpected insights.
This paper aims to shed light on the unprecedented link between the solar power landscape in Nicaragua and the seemingly unrelated yearnings for sushi. Our rigorous statistical analysis has unveiled a correlation coefficient that would make any statistician raise an eyebrow – a whopping 0.9602732. With the p-value comfortably lounging beneath the magic 0.01 threshold, our findings have buoyed our confidence in the strength of this connection, sparking a flame of curiosity that glows brighter than the midday sun.
As with any expedition, this journey was not without its challenges and surprises. The initial discovery of this correlation left us feeling a bit like sailors who stumbled upon an unexpected current – by turns exhilarated and bewildered. Nevertheless, we steered our ship of analysis through the choppy waters of data variance and confounding factors, setting our sights on the horizon of understanding with unyielding determination.
Through our findings, we illuminatingly reveal the ramifications of sustainable energy sources on culinary desires. The results of this study transcend mere statistical significance, transcending into the realm of deliciously unexpected connections. This paper serves as a lighthouse, casting its beam of knowledge across the shadowy expanse of data analysis, guiding fellow researchers toward unanticipated revelations.
In conclusion, our research adds not only sparkle but also an unexpected shimmer to the field of statistical and data analysis. The captivating linkage between solar power generation in Nicaragua and the Google searches for 'sushi near me' exemplifies the serendipitous nature of data exploration, reminding us that within the labyrinth of information lie unexpected treasures waiting to be discovered. In pursuit of knowledge, we crack open the oyster of data and uncover the hidden pearl of curiosity, enriching our understanding of the world through these delightfully unexpected connections.
[[RESULTS]]
The statistical analysis conducted on the data collected from the Energy Information Administration's solar power generation records and Google Trends' search statistics revealed a striking correlation. The correlation coefficient of 0.9602732 between solar power generation in Nicaragua and Google searches for 'sushi near me' indicates a remarkably strong positive relationship between these seemingly unrelated variables. This finding implies that as solar power generation in Nicaragua increased, so did the frequency of searches for 'sushi near me' on Google. The coefficient of determination (r-squared) of 0.9221246 suggests that approximately 92.21% of the variability in sushi search trends can be explained by the variation in solar power generation. The p-value, which is less than 0.01, underscores the statistical significance of this correlation.
Moreover, to visually illustrate the formidable connection discovered through our analysis, we present a scatterplot in Fig. 1. This scatterplot vividly portrays the unmistakable positive relationship between solar power generation and Google searches for 'sushi near me', further supporting the quantitative findings of our study. The strength of this correlation serves as a testament to the enlightening nature of data analysis, revealing unexpected and thought-provoking associations between diverse domains.
Certainly, the unearthing of such a compelling correlation between solar power generation in Nicaragua and the search for delectable sushi options emphasizes the intricate and unpredictably intertwined nature of human behavior and societal trends. In essence, our research not only sheds light on this striking connection but also serves as a beacon of insight into the captivatingly enigmatic world of statistical analysis.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, our research has brought to light a remarkably strong correlation between solar power generation in Nicaragua and Google searches for 'sushi near me'. The findings of this study underscore the confluence of sustainable energy sources and culinary desires, revealing the unexpectedly intertwined nature of these seemingly disparate realms. The correlation coefficient of 0.9602732 and a p-value less than 0.01 point to a relationship that is as robust as a well-constructed seaweed roll. The coefficient of determination (r-squared) of 0.9221246 indicates that over 92% of the variability in sushi search trends can be attributed to the variation in solar power generation, suggesting a connection as seamless as the fusion of flavors in a perfectly executed maki.
Our visualization of this correlation through the scatterplot in Fig. 1 serves as a visual feast for the eyes, showcasing the unmistakable positive relationship between solar power generation and the craving for sushi. This unexpected association illuminates the complex tapestry of human behavior and societal trends, serving as a reminder that within the labyrinth of data lie unanticipated treasures waiting to be discovered, much like stumbling upon a hidden gem in a bed of rice.
Our rigorous statistical analysis has not only brought to light this intriguing connection but has also added a glimmer of unexpected appreciation for the delightful nuances of data exploration. As we navigate the sea of statistical inquiry, we are reminded of the surprising and diverse connections that lie beneath the surface, waiting to be reeled in much like a prize catch.
In summary, our research has not just uncovered a mere correlation, but a delightful fusion of sustainable energy and culinary yearnings, providing a fresh perspective that is as invigorating as a zesty wasabi kick. Hence, in the spirit of discovery and enlightenment, we assert that further research in this area is as unnecessary as extra soy sauce with your sushi - that is to say, not at all.
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 From Solar Power to Sushi: A Bright Connection. Respond only with the name of a fictional academic journal.
ChatGPT:
Journal of Renewable Energy and Culinary Arts
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 From Solar Power to Sushi: A Bright Connection. Respond only with the name of a fictional organization.
ChatGPT:
The Galactic Sustainability Institute
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 From Solar Power to Sushi: A Bright Connection with an abstract of This study delves into the unexpected intertwining of solar power generation in Nicaragua and Google searches for 'sushi near me'. Utilizing data from the Energy Information Administration and Google Trends, we employed rigorous statistical analysis to uncover a correlation coefficient of 0.9602732 and a p-value less than 0.01 throughout the period of 2004 to 2021. Our findings shed light on the captivating relationship between these seemingly disparate entities, highlighting the potential ripple effects of sustainable energy sources on culinary cravings. This paper serves as a shining example of the quest for knowledge, illuminating the hilariously unanticipated connections that lurk within the realms of data analysis.
ChatGPT:
solar power, solar power generation, Nicaragua, Google searches, sushi near me, Energy Information Administration, Google Trends, correlation coefficient, statistical analysis, sustainable energy sources, culinary cravings, data analysis
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
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Data details
Solar power generated in NicaraguaDetailed data title: Total solar power generated in Nicaragua in billion kWh
Source: Energy Information Administration
See what else correlates with Solar power generated in Nicaragua
Google searches for 'sushi near me'
Detailed data title: Relative volume of Google searches for 'sushi near me' (Worldwide, without quotes)
Source: Google Trends
Additional Info: Relative search volume (not absolute numbers)
See what else correlates with Google searches for 'sushi 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 = 0.9221246 (Coefficient of determination)
This means 92.2% of the change in the one variable (i.e., Google searches for 'sushi near me') is predictable based on the change in the other (i.e., Solar power generated in Nicaragua) over the 18 years from 2004 through 2021.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 2.8E-10. 0.0000000002753536534859113000
The p-value is a measure of how probable it is that we would randomly find a result this extreme. More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.
But I am a p-villain. I absolutely did not test only one pair of variables one time. I correlated hundreds of millions of pairs of variables. I threw boatloads of data into an industrial-sized blender to find this correlation.
Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.96 in 2.8E-8% of random cases. Said differently, if you correlated 3,631,693,233 random variables You don't actually need 3 billion variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.
p-value calculations are useful for understanding the probability of a result happening by chance. They are most useful when used to highlight the risk of a fluke outcome. For example, if you calculate a p-value of 0.30, the risk that the result is a fluke is high. It is good to know that! But there are lots of ways to get a p-value of less than 0.01, as evidenced by this project.
In this particular case, the values are so extreme as to be meaningless. That's why no one reports p-values with specificity after they drop below 0.01.
Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 17 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 17 because we have two variables measured over a period of 18 years. It's just the number of years minus ( the number of variables minus one ), which in this case simplifies to the number of years minus one.
you would randomly expect to find a correlation as strong as this one.
[ 0.89, 0.99 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.
This one is a bit more complciated than the other calculations, but I include it because many people have been pushing for confidence intervals instead of p-value calculations (for example: NEJM. However, if you are dredging data, you can reliably find yourself in the 5%. That's my goal!
All values for the years included above: If I were being very sneaky, I could trim years from the beginning or end of the datasets to increase the correlation on some pairs of variables. I don't do that because there are already plenty of correlations in my database without monkeying with the years.
Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
| 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | |
| Solar power generated in Nicaragua (Billion kWh) | 0.0003 | 0.0003 | 0.0003 | 0.0003 | 0.0003 | 0.0003 | 0.0003 | 0.0003 | 0.009 | 0.000676 | 0.00143 | 0.002225 | 0.00216 | 0.013909 | 0.024 | 0.026 | 0.026 | 0.03 |
| Google searches for 'sushi near me' (Rel. search volume) | 0.0909091 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1.125 | 2.5 | 4.66667 | 10.9167 | 23.9167 | 38.9167 | 49.8333 | 62.1667 | 65.5 | 84.25 |
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([0.0003,0.0003,0.0003,0.0003,0.0003,0.0003,0.0003,0.0003,0.009,0.000676,0.00143,0.002225,0.00216,0.013909,0.024,0.026,0.026,0.03,])
array_2 = np.array([0.0909091,0,0,0,0,0,0,0,1.125,2.5,4.66667,10.9167,23.9167,38.9167,49.8333,62.1667,65.5,84.25,])
array_1_name = "Solar power generated in Nicaragua"
array_2_name = "Google searches for 'sushi 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.
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Download images for these variables:
- High resolution line chart
The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.
If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.
Alternatively you can use a tool like Inkscape. - High resolution line chart, optimized for mobile
- Alternative high resolution line chart
- Scatterplot
- Portable line chart (png)
- Portable line chart (png), optimized for mobile
- Line chart for only Solar power generated in Nicaragua
- Line chart for only Google searches for 'sushi near me'
- AI-generated correlation image
- The spurious research paper: From Solar Power to Sushi: A Bright Connection
Thanks for shining a light on this correlation!
Correlation ID: 1552 · Black Variable ID: 23863 · Red Variable ID: 1534
