Spurious correlation #3,539 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Solar power generated in Uruguay and the second variable is Google searches for 'avocado toast'. The chart goes from 2012 to 2021, and the two variables track closely in value over that time.

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Solar power generated in Uruguay and the second variable is Google searches for 'avocado toast'. The chart goes from 2012 to 2021, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As the solar panels soaked up the sun's rays, they inadvertently beamed out supercharged avocado-growing energy. This led to an absolute avo-catastrophe, as avocados ballooned to massive sizes and became the talk of the town. With an abundance of giant, perfectly ripe avocados, the people of Uruguay couldn't resist mashing them onto toast and creating a sunny, delicious phenomenon. It's a toast to the incredible, avocado-boosting power of solar energy!

^{Show image generation prompt} Model: dalle-3
Prompt: Generate an image with the style of a Discovery magazine cover depicting a vibrant Uruguayan neighborhood on a sunny day. Show solar panels glistening on rooftops, providing clean energy for the community. People are gathered outside, enjoying avocado toast, with the aroma of freshly blended avocado filling the air. Nearby, someone is searching on their phone for avocado toast recipes, adding to the surge in Google searches from the increased energy availability. Capture the lively atmosphere and the blend of modern technology and leisurely enjoyment. 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 'avocado toast'. 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: Woodblock painting Woodblock painting Symbolism A Discovery magazine cover image A Discovery magazine cover image
ChatGPT: A Discovery magazine cover image

Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both Solar power generated in Uruguay and Google searches for 'avocado toast', in the following situation: Because the increase in solar power in Uruguay led to a surplus of energy, more people had the means to blend avocados for toast, thus increasing Google searches for avocado toast.. Keep the description simple.
ChatGPT: A bright and sunny day in Uruguay, with solar panels glistening on rooftops, generating clean energy for the community. People are gathered outside, enjoying slices of avocado toast, with the aroma of freshly blended avocado filling the air. Nearby, someone is searching on their phone for avocado toast recipes, adding to the surge in Google searches from the increased energy availability.

Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ A Discovery magazine cover image ] and depicting this scene: A bright and sunny day in Uruguay, with solar panels glistening on rooftops, generating clean energy for the community. People are gathered outside, enjoying slices of avocado toast, with the aroma of freshly blended avocado filling the air. Nearby, someone is searching on their phone for avocado toast recipes, adding to the surge in Google searches from the increased energy availability. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image with the style of a Discovery magazine cover depicting a vibrant Uruguayan neighborhood on a sunny day. Show solar panels glistening on rooftops, providing clean energy for the community. People are gathered outside, enjoying avocado toast, with the aroma of freshly blended avocado filling the air. Nearby, someone is searching on their phone for avocado toast recipes, adding to the surge in Google searches from the increased energy availability. Capture the lively atmosphere and the blend of modern technology and leisurely enjoyment.

*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.
^{Show prompt for explanation} Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in Solar power generated in Uruguay caused avocado toast (Google searches for 'avocado toast') to increase.

AI academic paper

(Because p < 0.01)

Shining a Light on Solar Power: A Bright Spot for Avocado Toast?

Journal of Eclectic Energy Studies

Jan 2024

Reminder: This paper is AI-generated. Not real!

^{Show prompt used to generate this paper} Quick note: This sequence is long and repetitive. That's how the prompt engineering works for this one. I manage the output in Python to format it into this PDF.

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

Please make up a literature review section of an academic research paper presenting the findings of the connection between Solar power generated in Uruguay and Google searches for 'avocado toast'. 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 name some cartoons and childrens' shows that you watched that are related to the topic.

Here is the title and abstract of the paper:
[[TITLE]]
Shining a Light on Solar Power: A Bright Spot for Avocado Toast?

[[ABSTRACT]]
The perplexing connection between solar power generation in Uruguay and Google searches for 'avocado toast' has long puzzled enthusiasts of both sustainable energy and trendy brunch foods. In this study, we delve into the enigmatic correlation between the two seemingly unrelated phenomena, employing data from the Energy Information Administration and Google Trends. Our research team rigorously analyzed the data from 2012 to 2021 and unearthed a striking correlation coefficient of 0.9856823, with the statistical significance level at p < 0.01. The implications of this unexpected relationship between solar power and millennial breakfast preferences are discussed, shedding a quirky light on the intersection of clean energy and gastronomic trends. Our findings not only contribute to the scholarly understanding of renewable energy patterns but also offer a lighthearted perspective on the whimsical ways in which societal interests intersect with the trajectory of solar power generation.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
INTRODUCTION
The world of renewable energy is a fascinating and complex arena, filled with intricate patterns, dynamic fluctuations, and unexpected surprises. One such surprise has popped up in the form of an unlikely correlation between the solar power generated in Uruguay and the Google searches for 'avocado toast'. While solar power and avocado toast may seem as distant from each other as, well, the sun and an avocado, our empirical investigation has unearthed a curiously strong relationship between the two. In this paper, we will illuminate the intriguing connection between these seemingly unrelated phenomena, shedding light on not only the power of the sun but also the power of millennial breakfast choices.
The pursuit of sustainable energy has become increasingly crucial in the face of environmental challenges, garnering attention from researchers, policymakers, and the general public. Likewise, the rise of avocado toast as a millennial culinary icon has sparked widespread fascination and, dare I say, obsession. The coalescence of these two disparate realms might seem as improbable as finding a ripe avocado in a university dining hall, yet our analysis tells a different tale.
In this study, we embark on a journey to dissect the correlation between solar power generation and the quest for the perfect avocado toast. With the aid of empirical data from the Energy Information Administration and Google Trends, we aim to disentangle the enigmatic intertwining of sustainable energy practices and brunch-related internet queries. Our methodology entails rigorous analysis and statistical scrutiny, not unlike the careful selection of the perfect avocado for mashing. Through this lens, we endeavor to add a quirky twist to the scholarly discourse on renewable energy, blending the serious pursuit of clean power with a whimsical exploration of brunch habits.
As we embark on this scholarly expedition, it is our hope that our findings will not only enrich the academic understanding of renewable energy patterns but also provide a morsel of lighthearted amusement in the sometimes austere realm of academic research. After all, who knew that the path to a more sustainable future might involve a pit, some mashed avocados, and a sprinkle of statistical analysis that's riper than a perfectly ripened fruit? Let us peel back the layers of this intriguing correlation, and perhaps, in doing so, we'll emerge with a newfound appreciation for the unexpected intersections of solar power and avocado toast.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

The perplexing correlation between solar power generation in Uruguay and Google searches for 'avocado toast' has garnered significant attention within the academic community. Numerous studies have attempted to unpack this unexpected relationship, shedding light on the potential intersection of sustainable energy practices and culinary preferences. While the initial incredulity may be reminiscent of a half-baked theory, a thorough review of the literature reveals compelling evidence and thought-provoking insights.

Smith et al. (2017) conducted a comprehensive analysis of renewable energy trends in South America, aiming to understand the factors influencing solar power generation in Uruguay. Their findings pointed to the country's robust investment in solar infrastructure and favorable regulatory policies as primary drivers of the upward trajectory in solar energy capacity. However, what caught their attention was the recurrent anomaly in their data - an unanticipated spike in solar power output coinciding with a surge in Google searches for 'avocado toast' during the same time periods. While Smith et al. were initially bewildered by this correlation, they noted its consistency throughout the years, prompting them to explore possible social and cultural influences on energy consumption patterns.

Doe and Jones (2019) delved further into the consumer behavior aspect, examining the burgeoning popularity of avocado toast as a breakfast choice among young adults. Their study, based on surveys and focus group discussions, underscored the symbolic significance of avocado toast in signifying a generation's culinary preferences and lifestyle choices. Moreover, their inquiry into social media trends revealed a noteworthy uptick in avocado toast-related content during periods of heightened solar power generation, hinting at a potential link between sustainable energy enthusiasm and gastronomic indulgence.

Beyond the realm of scholarly research, several non-fiction books have delved into the societal impact of renewable energy adoption and modern dietary trends. In "Sunshine and Smashed Avocado" by Denise Williams, the author explores the cultural shifts brought about by the solar energy revolution and its unlikely parallels with the rise of avocado-based dishes on brunch menus worldwide. Similarly, "The Power of Green: Solar Energy and the Millennial Kitchen" by Michael Green offers a compelling argument for the entwined destinies of solar power and avocado-infused culinary creations, weaving together historical, environmental, and gustatory threads to illuminate this peculiar relationship.

Taking a more speculative turn, works of fiction have also toyed with the juxtaposition of solar power and trendy food choices. In the novel "The Sun Also Rises...with Avocado Toast" by Ernest Hemingway (a posthumous edition, of course), the characters embark on a journey of self-discovery against the backdrop of a solar-powered café, where conversations about renewable energy generation seamlessly intertwine with musings on the perfect avocado toast. Furthermore, in the sci-fi thriller "Solar Flares and Sandwich Pairings" by Isaac Asimov's lesser-known cousin, the protagonist grapples with a parallel universe where solar energy advancements are inextricably linked with 'avocado toast' Google searches - a twisted yet thought-provoking exploration of alternate realities and breakfast obsessions.

On a lighter note, cartoons and children's shows have not been immune to the allure of this unlikely correlation. In an episode of "The Solar Adventures of Captain Sunbeam," the superhero's arch-nemesis attempts to thwart solar power initiatives by swaying public attention towards avocado toast trends, sparking a whimsical yet surprisingly educational showdown between clean energy advocacy and millennial gastronomic fads. Similarly, the educational program "Eco-Chefs in Training" features a segment where young viewers learn about sustainable cooking practices while uncovering the surprising connection between harnessing the sun's energy and creating delectable avocado-based treats.

Indeed, the literature surrounding the intersection of solar power generation in Uruguay and Google searches for 'avocado toast' is as vibrant and diverse as the flavors of a meticulously crafted brunch dish. While some may dismiss this correlation as mere whimsy, our scholarly inquiry reveals a compelling narrative at the confluence of sustainable energy, culinary culture, and societal trends. As we continue our in-depth exploration of this captivating relationship, the charmingly offbeat nature of our findings serves as a welcome reminder that academic research can, at times, offer a slice of unexpected delight in the pursuit of knowledge.

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

Please make up the methodology section of an academic research paper presenting the findings of the connection between Solar power generated in Uruguay and Google searches for 'avocado toast'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from Energy Information Administration and Google Trends . You used data from 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: A Bright Spot for Avocado Toast?

[[ABSTRACT]]
The perplexing connection between solar power generation in Uruguay and Google searches for 'avocado toast' has long puzzled enthusiasts of both sustainable energy and trendy brunch foods. In this study, we delve into the enigmatic correlation between the two seemingly unrelated phenomena, employing data from the Energy Information Administration and Google Trends. Our research team rigorously analyzed the data from 2012 to 2021 and unearthed a striking correlation coefficient of 0.9856823, with the statistical significance level at p < 0.01. The implications of this unexpected relationship between solar power and millennial breakfast preferences are discussed, shedding a quirky light on the intersection of clean energy and gastronomic trends. Our findings not only contribute to the scholarly understanding of renewable energy patterns but also offer a lighthearted perspective on the whimsical ways in which societal interests intersect with the trajectory of solar power generation.

[[INTRODUCTION]]
INTRODUCTION
The world of renewable energy is a fascinating and complex arena, filled with intricate patterns, dynamic fluctuations, and unexpected surprises. One such surprise has popped up in the form of an unlikely correlation between the solar power generated in Uruguay and the Google searches for 'avocado toast'. While solar power and avocado toast may seem as distant from each other as, well, the sun and an avocado, our empirical investigation has unearthed a curiously strong relationship between the two. In this paper, we will illuminate the intriguing connection between these seemingly unrelated phenomena, shedding light on not only the power of the sun but also the power of millennial breakfast choices.
The pursuit of sustainable energy has become increasingly crucial in the face of environmental challenges, garnering attention from researchers, policymakers, and the general public. Likewise, the rise of avocado toast as a millennial culinary icon has sparked widespread fascination and, dare I say, obsession. The coalescence of these two disparate realms might seem as improbable as finding a ripe avocado in a university dining hall, yet our analysis tells a different tale.
In this study, we embark on a journey to dissect the correlation between solar power generation and the quest for the perfect avocado toast. With the aid of empirical data from the Energy Information Administration and Google Trends, we aim to disentangle the enigmatic intertwining of sustainable energy practices and brunch-related internet queries. Our methodology entails rigorous analysis and statistical scrutiny, not unlike the careful selection of the perfect avocado for mashing. Through this lens, we endeavor to add a quirky twist to the scholarly discourse on renewable energy, blending the serious pursuit of clean power with a whimsical exploration of brunch habits.
As we embark on this scholarly expedition, it is our hope that our findings will not only enrich the academic understanding of renewable energy patterns but also provide a morsel of lighthearted amusement in the sometimes austere realm of academic research. After all, who knew that the path to a more sustainable future might involve a pit, some mashed avocados, and a sprinkle of statistical analysis that's riper than a perfectly ripened fruit? Let us peel back the layers of this intriguing correlation, and perhaps, in doing so, we'll emerge with a newfound appreciation for the unexpected intersections of solar power and avocado toast.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

**[[METHODOLOGY]]**

*Data Collection*

Our research team embarked on a digital odyssey to collect data from various sources, navigating through the virtual jungle of information with the agility of a tech-savvy Tarzan. We primarily focused our data collection efforts on the Energy Information Administration's comprehensive database of solar power generation in Uruguay, meticulously gathering kilowatt-hour output figures like dedicated sun worshippers basking in the glow of statistical enlightenment.

In parallel, we ventured into the enigmatic realm of Google Trends, tracking the ebb and flow of searches for the delectable 'avocado toast' over the years. Our foray into the world of internet search queries was akin to traversing a bustling farmers' market, where the fruits of our labor were not plucked from trees but rather harvested from the digital orchards of algorithmic abundance.

*Data Analysis*

Having amassed a trove of data that could make even the most seasoned data hoarder raise an eyebrow, we set out to uncover the hidden connections between solar power generation and the pursuit of avocado-laden delights. Our data analysis involved wielding the formidable arsenal of statistical tools, akin to a virtuoso musician coaxing harmonious melodies from an orchestra of numbers and equations.

Employing time series analysis, correlation coefficients, and regression models, we meticulously scrutinized the patterns and fluctuations in solar power output alongside the zeitgeist of avocado toast searches, peeling back layers of data with the precision of a produce connoisseur inspecting the ripeness of a succulent avocado.

*Modeling the Correlation*

In our pursuit of understanding the inexplicable bond between solar power and avocado toast, we crafted a model to quantify the relationship with the same care and finesse one might use to create a perfectly balanced avocado toast recipe—accounting for factors such as time lags, seasonal variations, and the gravitational pull of millennial tastes.

The statistical significance of our findings was evaluated with the rigor of a discerning chef tasting a new dish, ensuring that our results were not merely flavorful but scientifically nourishing. Through this methodological kitchen dance, we arrived at a correlation coefficient that rivaled the radiance of a perfectly sun-kissed avocado, shedding light on the robust connection between solar power generation and the digital clamor for avocado toast.

*Limitations and Delightful Anecdotes*

It is crucial to acknowledge the limitations of our methodology, much like one would reflect on the imperfections of a slightly bruised avocado—acknowledging that while its appearance may not be flawless, its inner essence remains pure. Our reliance on publicly available data sources and the whims of internet search trends introduces inherent uncertainties, akin to navigating the erratic winds of culinary fads and technological data collection.

Despite these limitations, our findings bear the ripe promise of unveiling a peculiar yet compelling relationship between solar power and gastronomic fervor, inviting both scholarly scrutiny and a whimsical chuckle at the unexpected turns of research exploration. The joyous anecdotes and peculiar tangents encountered along our methodological journey, while not precisely data points, nevertheless enriched our scientific odyssey with a touch of delightful unpredictability.

With our methodology serving as the trustworthy compass guiding our research expedition, we embarked on a journey that deftly intertwined the seriousness of scientific inquiry with the whimsy of unexpected correlations, illuminating the quirky intersection of solar power generation and the search for the perfect avocado toast.

And now, with the cautious precision of an avocado aficionado selecting the finest fruit, it is time to present the succulent fruits of our labor, as we peel back the layers of our findings to reveal the unexpected synergy between solar power and the pursuit of culinary indulgence.

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

Please make up the discussion section of an academic research paper presenting the findings of the connection between Solar power generated in Uruguay and Google searches for 'avocado toast'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Limit your response to 500 tokens.

Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.

Do not write a conclusion. I will add a conclusion after this.

[[TITLE]]
Shining a Light on Solar Power: A Bright Spot for Avocado Toast?

[[ABSTRACT]]
The perplexing connection between solar power generation in Uruguay and Google searches for 'avocado toast' has long puzzled enthusiasts of both sustainable energy and trendy brunch foods. In this study, we delve into the enigmatic correlation between the two seemingly unrelated phenomena, employing data from the Energy Information Administration and Google Trends. Our research team rigorously analyzed the data from 2012 to 2021 and unearthed a striking correlation coefficient of 0.9856823, with the statistical significance level at p < 0.01. The implications of this unexpected relationship between solar power and millennial breakfast preferences are discussed, shedding a quirky light on the intersection of clean energy and gastronomic trends. Our findings not only contribute to the scholarly understanding of renewable energy patterns but also offer a lighthearted perspective on the whimsical ways in which societal interests intersect with the trajectory of solar power generation.

[[LITERATURE REVIEW]]
The perplexing correlation between solar power generation in Uruguay and Google searches for 'avocado toast' has garnered significant attention within the academic community. Numerous studies have attempted to unpack this unexpected relationship, shedding light on the potential intersection of sustainable energy practices and culinary preferences. While the initial incredulity may be reminiscent of a half-baked theory, a thorough review of the literature reveals compelling evidence and thought-provoking insights.
Smith et al. (2017) conducted a comprehensive analysis of renewable energy trends in South America, aiming to understand the factors influencing solar power generation in Uruguay. Their findings pointed to the country's robust investment in solar infrastructure and favorable regulatory policies as primary drivers of the upward trajectory in solar energy capacity. However, what caught their attention was the recurrent anomaly in their data - an unanticipated spike in solar power output coinciding with a surge in Google searches for 'avocado toast' during the same time periods. While Smith et al. were initially bewildered by this correlation, they noted its consistency throughout the years, prompting them to explore possible social and cultural influences on energy consumption patterns.
Doe and Jones (2019) delved further into the consumer behavior aspect, examining the burgeoning popularity of avocado toast as a breakfast choice among young adults. Their study, based on surveys and focus group discussions, underscored the symbolic significance of avocado toast in signifying a generation's culinary preferences and lifestyle choices. Moreover, their inquiry into social media trends revealed a noteworthy uptick in avocado toast-related content during periods of heightened solar power generation, hinting at a potential link between sustainable energy enthusiasm and gastronomic indulgence.
Beyond the realm of scholarly research, several non-fiction books have delved into the societal impact of renewable energy adoption and modern dietary trends. In "Sunshine and Smashed Avocado" by Denise Williams, the author explores the cultural shifts brought about by the solar energy revolution and its unlikely parallels with the rise of avocado-based dishes on brunch menus worldwide. Similarly, "The Power of Green: Solar Energy and the Millennial Kitchen" by Michael Green offers a compelling argument for the entwined destinies of solar power and avocado-infused culinary creations, weaving together historical, environmental, and gustatory threads to illuminate this peculiar relationship.
Taking a more speculative turn, works of fiction have also toyed with the juxtaposition of solar power and trendy food choices. In the novel "The Sun Also Rises...with Avocado Toast" by Ernest Hemingway (a posthumous edition, of course), the characters embark on a journey of self-discovery against the backdrop of a solar-powered café, where conversations about renewable energy generation seamlessly intertwine with musings on the perfect avocado toast. Furthermore, in the sci-fi thriller "Solar Flares and Sandwich Pairings" by Isaac Asimov's lesser-known cousin, the protagonist grapples with a parallel universe where solar energy advancements are inextricably linked with 'avocado toast' Google searches - a twisted yet thought-provoking exploration of alternate realities and breakfast obsessions.
On a lighter note, cartoons and children's shows have not been immune to the allure of this unlikely correlation. In an episode of "The Solar Adventures of Captain Sunbeam," the superhero's arch-nemesis attempts to thwart solar power initiatives by swaying public attention towards avocado toast trends, sparking a whimsical yet surprisingly educational showdown between clean energy advocacy and millennial gastronomic fads. Similarly, the educational program "Eco-Chefs in Training" features a segment where young viewers learn about sustainable cooking practices while uncovering the surprising connection between harnessing the sun's energy and creating delectable avocado-based treats.
Indeed, the literature surrounding the intersection of solar power generation in Uruguay and Google searches for 'avocado toast' is as vibrant and diverse as the flavors of a meticulously crafted brunch dish. While some may dismiss this correlation as mere whimsy, our scholarly inquiry reveals a compelling narrative at the confluence of sustainable energy, culinary culture, and societal trends. As we continue our in-depth exploration of this captivating relationship, the charmingly offbeat nature of our findings serves as a welcome reminder that academic research can, at times, offer a slice of unexpected delight in the pursuit of knowledge.

[[RESULTS]]
The analysis of the data from 2012 to 2021 has yielded a correlation coefficient of 0.9856823 between solar power generation in Uruguay and Google searches for 'avocado toast', with an r-squared value of 0.9715696. The statistical significance level, indicated by p < 0.01, provides robust support for the observed correlation. These findings underscore the remarkably strong relationship between these seemingly incongruous variables.
Fig. 1 illustrates the scatterplot depicting the tight correlation between solar power generation and the public's interest in avocado toast. The plot showcases the alignment of these two disparate trends, suggesting a synchronous ebb and flow between sustainable energy practices and the search for the perfect brunch.
The remarkable correlation uncovered in this analysis not only adds a unique hue to the canvas of renewable energy research but also infuses a quirky charm into the exploration of societal preferences. The implications of this unanticipated relationship prompt a whimsical reconsideration of the intersection of clean energy practices and culinary trends. It seems that the sun is not only a source of power but also a delightful muse for the whims and caprices of the digital age.
The unexpected correlation between solar power generation and the search for avocado toast opens a window of quirky curiosity into the whimsical ways in which societal preferences intersect with the trajectory of sustainable energy practices. This finding illuminates the multifaceted nature of renewable energy patterns and invites a light-hearted perspective on the perplexing dance of solar power and brunch choices. Who knew that, in the pursuit of a greener future, one might stumble upon the toast of the town?

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The enthralling correlation between solar power generation in Uruguay and Google searches for 'avocado toast' unveils a captivating interplay between seemingly unrelated facets of modern life. Our findings align with and fortify the prior research that has sparked scholarly and imaginative discourse surrounding this unexpected relationship.

The robust correlation coefficient of 0.9856823 mirrors the remarkable consistency noted by Smith et al. (2017) in their analysis of renewable energy trends. Our results bolster their observation of an uncanny synchronicity between periods of heightened solar power output and increased interest in avocado toast. The r-squared value of 0.9715696 further accentuates the strength of this correlation, echoing the resonance identified in prior literature regarding the pervasiveness of this intriguing association.

Moreover, Doe and Jones (2019) emphasized the societal significance of avocado toast as a symbolic marker of generational culinary preferences. Our findings align with their observations, indicating a potential interplay between sustainable energy enthusiasm and gastronomic indulgence. The surge in avocado toast-related content on social media during periods of heightened solar power generation, as noted by Doe and Jones, mirrors the simultaneous peak in Google searches for 'avocado toast' in our data.

The broader social and cultural implications of this correlation resonate with the speculative explorations in non-fiction and fictional works. The unexpected alliance between solar energy and culinary trends, as depicted in "Sunshine and Smashed Avocado" and "Solar Flares and Sandwich Pairings," finds resonance in our empirical findings, elevating this quirky phenomenon from fanciful musings to statistical reality.

The scatterplot visually encapsulates the tight correlation unveiled by this study, serving as a whimsically captivating illustration of the interwoven trajectories of solar power generation and the public's appetite for delectable brunch options. This visual representation bolsters the psychological concept of "sun's out, smash that avo," amalgamating the domains of solar energy and millennial gastronomic choices into a harmoniously whimsical depiction.

Our study adds a lighthearted dimension to the typically serious discourse on renewable energy patterns, offering a dash of unexpected delight through the unorthodox combination of solar power and brunch aficionados. The implications of this unlikely correlation beckon a reexamination of the intricate and often surprising ways in which societal preferences intersect with the evolution of sustainable energy practices. This study not only broadens the horizons of renewable energy research but also infuses an element of cheery curiosity into the exploration of societal peculiarities, affirming that the pursuit of knowledge can, indeed, be seasoned with a zest of unexpected whimsy.

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

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Solar power generated in Uruguay and Google searches for 'avocado toast'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Shining a Light on Solar Power: A Bright Spot for Avocado Toast?

[[ABSTRACT]]
The perplexing connection between solar power generation in Uruguay and Google searches for 'avocado toast' has long puzzled enthusiasts of both sustainable energy and trendy brunch foods. In this study, we delve into the enigmatic correlation between the two seemingly unrelated phenomena, employing data from the Energy Information Administration and Google Trends. Our research team rigorously analyzed the data from 2012 to 2021 and unearthed a striking correlation coefficient of 0.9856823, with the statistical significance level at p < 0.01. The implications of this unexpected relationship between solar power and millennial breakfast preferences are discussed, shedding a quirky light on the intersection of clean energy and gastronomic trends. Our findings not only contribute to the scholarly understanding of renewable energy patterns but also offer a lighthearted perspective on the whimsical ways in which societal interests intersect with the trajectory of solar power generation.

[[INTRDUCTION]]
INTRODUCTION
The world of renewable energy is a fascinating and complex arena, filled with intricate patterns, dynamic fluctuations, and unexpected surprises. One such surprise has popped up in the form of an unlikely correlation between the solar power generated in Uruguay and the Google searches for 'avocado toast'. While solar power and avocado toast may seem as distant from each other as, well, the sun and an avocado, our empirical investigation has unearthed a curiously strong relationship between the two. In this paper, we will illuminate the intriguing connection between these seemingly unrelated phenomena, shedding light on not only the power of the sun but also the power of millennial breakfast choices.
The pursuit of sustainable energy has become increasingly crucial in the face of environmental challenges, garnering attention from researchers, policymakers, and the general public. Likewise, the rise of avocado toast as a millennial culinary icon has sparked widespread fascination and, dare I say, obsession. The coalescence of these two disparate realms might seem as improbable as finding a ripe avocado in a university dining hall, yet our analysis tells a different tale.
In this study, we embark on a journey to dissect the correlation between solar power generation and the quest for the perfect avocado toast. With the aid of empirical data from the Energy Information Administration and Google Trends, we aim to disentangle the enigmatic intertwining of sustainable energy practices and brunch-related internet queries. Our methodology entails rigorous analysis and statistical scrutiny, not unlike the careful selection of the perfect avocado for mashing. Through this lens, we endeavor to add a quirky twist to the scholarly discourse on renewable energy, blending the serious pursuit of clean power with a whimsical exploration of brunch habits.
As we embark on this scholarly expedition, it is our hope that our findings will not only enrich the academic understanding of renewable energy patterns but also provide a morsel of lighthearted amusement in the sometimes austere realm of academic research. After all, who knew that the path to a more sustainable future might involve a pit, some mashed avocados, and a sprinkle of statistical analysis that's riper than a perfectly ripened fruit? Let us peel back the layers of this intriguing correlation, and perhaps, in doing so, we'll emerge with a newfound appreciation for the unexpected intersections of solar power and avocado toast.

[[RESULTS]]
The analysis of the data from 2012 to 2021 has yielded a correlation coefficient of 0.9856823 between solar power generation in Uruguay and Google searches for 'avocado toast', with an r-squared value of 0.9715696. The statistical significance level, indicated by p < 0.01, provides robust support for the observed correlation. These findings underscore the remarkably strong relationship between these seemingly incongruous variables.
Fig. 1 illustrates the scatterplot depicting the tight correlation between solar power generation and the public's interest in avocado toast. The plot showcases the alignment of these two disparate trends, suggesting a synchronous ebb and flow between sustainable energy practices and the search for the perfect brunch.
The remarkable correlation uncovered in this analysis not only adds a unique hue to the canvas of renewable energy research but also infuses a quirky charm into the exploration of societal preferences. The implications of this unanticipated relationship prompt a whimsical reconsideration of the intersection of clean energy practices and culinary trends. It seems that the sun is not only a source of power but also a delightful muse for the whims and caprices of the digital age.
The unexpected correlation between solar power generation and the search for avocado toast opens a window of quirky curiosity into the whimsical ways in which societal preferences intersect with the trajectory of sustainable energy practices. This finding illuminates the multifaceted nature of renewable energy patterns and invites a light-hearted perspective on the perplexing dance of solar power and brunch choices. Who knew that, in the pursuit of a greener future, one might stumble upon the toast of the town?

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Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our investigation has unwrapped a delightful surprise in the form of a robust correlation between solar power generation in Uruguay and Google searches for 'avocado toast'. The statistical robustness of the observed correlation, with a correlation coefficient of 0.9856823 and an r-squared value of 0.9715696, provides solid ground for the whimsical connection we've uncovered. This correlation challenges conventional wisdom, much like the notion that the avocado is a fruit and not a vegetable.

Our findings not only shine a light on the surprising interplay between sustainable energy practices and culinary predilections but also introduce a jocular twist to the typically serious discourse on renewable energy. It seems that avocados and solar power have more in common than meets the eye, much like the uncanny resemblance between solar panels and slices of avocado arranged artfully on toast.

As we go forth, it's tempting to crack a pun about 'avocadon't you want some solar power?' or 'holy guacamole, that's a strong correlation', but we digress. Our results bring a new dimension to the scholarly understanding of renewable energy patterns while injecting a speck of merriment into the research community, not unlike topping mundane toast with the delightful green spread.

In light of these revelatory findings, we assert that no further research inquiries are necessary on this particular intersection, for we have peeled back the layers of this enigmatic correlation and presented our findings, ripe for consumption. It appears that the enigmatic dance between solar power generation and avocado toast searches has been brought out of the shadows and into the vibrant sunlight, illuminating the whimsical ways in which societal preferences intersect with the trajectory of sustainable energy practices. This correlation may be as curious as choosing between smashed or sliced avocado, but one thing is clear – the quest for a greener future can be as amusing as spreading avocado on toast.

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: A Bright Spot for Avocado Toast?. Respond only with the name of a fictional academic journal.

ChatGPT:

Journal of Eclectic Energy Studies

Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of nonprofit research organizations and associations. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding nonprofit, academic, or scientific association or organization that would sponsor research that resulted in a paper entited Shining a Light on Solar Power: A Bright Spot for Avocado Toast?. Respond only with the name of a fictional organization.

ChatGPT:

The Avocado Research 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 Shining a Light on Solar Power: A Bright Spot for Avocado Toast? with an abstract of The perplexing connection between solar power generation in Uruguay and Google searches for 'avocado toast' has long puzzled enthusiasts of both sustainable energy and trendy brunch foods. In this study, we delve into the enigmatic correlation between the two seemingly unrelated phenomena, employing data from the Energy Information Administration and Google Trends. Our research team rigorously analyzed the data from 2012 to 2021 and unearthed a striking correlation coefficient of 0.9856823, with the statistical significance level at p < 0.01. The implications of this unexpected relationship between solar power and millennial breakfast preferences are discussed, shedding a quirky light on the intersection of clean energy and gastronomic trends. Our findings not only contribute to the scholarly understanding of renewable energy patterns but also offer a lighthearted perspective on the whimsical ways in which societal interests intersect with the trajectory of solar power generation.

ChatGPT:

solar power, avocado toast, Uruguay, correlation, Google searches, sustainable energy, brunch foods, Energy Information Administration, Google Trends, statistical significance, millennial breakfast preferences, renewable energy patterns, societal interests

*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 Uruguay
Detailed 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 'avocado toast'
Detailed data title: Relative volume of Google searches for 'avocado toast' (Worldwide, without quotes)
Source: Google Trends
Additional Info: ^{See full details} Relative search volume (not absolute numbers)

See what else correlates with Google searches for 'avocado toast'

Correlation r = 0.9856823 (Pearson correlation coefficient)
Correlation is a measure of how much the variables move together. If it is 0.99, when one goes up the other goes up. If it is 0.02, the connection is very weak or non-existent. If it is -0.99, then when one goes up the other goes down. If it is 1.00, you probably messed up your correlation function.

r² = 0.9715696 (Coefficient of determination)
This means 97.2% of the change in the one variable (i.e., Google searches for 'avocado toast') 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 1.81E-7.^Show 0.0000001807125876890834300000
The p-value is a measure of how probable it is that we would randomly find a result this extreme.^Note More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.

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

Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.99 in 1.81E-5% of random cases. Said differently, if you correlated 5,533,649 random variables^Note You don't actually need 5 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, ^Note 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.

[ 0.94, 1 ] 95% correlation confidence interval (using the Fisher z-transformation)
^{Read more about the confidence interval} The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

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

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

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

	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 'avocado toast' (Rel. search volume)	1.08333	2.5	5.16667	12.25	24	42.25	49	56	72.75	65.25

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^Note Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple^Note Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is.

Try it yourself

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

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

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

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

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

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

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

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

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

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

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

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

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

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([0.001,0.001,0.003,0.049,0.152,0.269,0.414,0.424,0.462,0.483,])
array_2 = np.array([1.08333,2.5,5.16667,12.25,24,42.25,49,56,72.75,65.25,])
array_1_name = "Solar power generated in Uruguay"
array_2_name = "Google searches for 'avocado toast'"

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

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

Reuseable content

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

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

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

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

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

Download images for these variables:

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

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

Alternatively you can use a tool like Inkscape.
High resolution line chart, optimized for mobile
Alternative high resolution line chart
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 'avocado toast'
AI-generated correlation image
The spurious research paper: Shining a Light on Solar Power: A Bright Spot for Avocado Toast?

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Correlation ID: 3539 · Black Variable ID: 24084 · Red Variable ID: 1422


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