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AI explanation
As the number of kids named Sonny rose, so did the collective level of sunshine-y, positive vibes. This led to an increase in sun exposure, effectively supercharging the solar panels in Brazil. It's as if each Sonny was a little ray of light, shining down and powering up the country's solar energy production. Keep spreading that solar power of positivity, Sonny!
Model: dalle-3
Prompt: Title: Sun-kissed Picnic Prompt: Generate an image of a whimsical, colorful concept art of a sunny day in Brazil. The scene should feature a vibrant landscape with lush greenery, bright sunlight, and solar panels glistening in the backdrop. Underneath the shade of a majestic tree, a group of diverse individuals are seen having a cheerful picnic. A little boy named Sonny, with a big smile on his face, plays joyfully with a group of new friends in the foreground. The overall mood should capture the warmth and energy of a summery day. 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: Popularity of the first name Sonny and Solar power generated in Brazil. 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 Cyberpunk Hyper-realistic Concept art Psychedelic
ChatGPT: Concept art
Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both Popularity of the first name Sonny and Solar power generated in Brazil together. Keep the description simple.
ChatGPT: A sunny day in Brazil, with solar panels shining in the sunlight, and a group of people enjoying a picnic under a tree, with a little boy named Sonny playing and making new friends.
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: [ Concept art ] and depicting this scene: A sunny day in Brazil, with solar panels shining in the sunlight, and a group of people enjoying a picnic under a tree, with a little boy named Sonny playing and making new friends. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Title: Sun-kissed Picnic Prompt: Generate an image of a whimsical, colorful concept art of a sunny day in Brazil. The scene should feature a vibrant landscape with lush greenery, bright sunlight, and solar panels glistening in the backdrop. Underneath the shade of a majestic tree, a group of diverse individuals are seen having a cheerful picnic. A little boy named Sonny, with a big smile on his face, plays joyfully with a group of new friends in the foreground. The overall mood should capture the warmth and energy of a summery day.
*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 Popularity of the first name Sonny caused Solar power generated in Brazil to increase.
AI academic paper
 |
Shining a Sonny on Solar: An Enlightening Study on the Correlation Between the Popularity of the Name Sonny and Solar Power Generation in Brazil Journal of Solar Sociology Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You write titles and abstracts of goofy academic research papers.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, and add unexpected twists in your writing.
Please draft the title and abstract of an academic research paper presenting the findings of the connection between Popularity of the first name Sonny and Solar power generated in Brazil. Make lots of jokes, goofy observations, and puns.
Make the title a clever pun.
Your research team used data from US Social Security Administration and Energy Information Administration to assess this nagging question. You found a correlation coefficient of 0.9360402 and p < 0.01 for 1997 to 2021.
Please respond in this format (replace "Lorem ipsum dolor sit" with your title and abstract)
[[TITLE]]
Lorem ipsum dolor sit
[[ABSTRACT]]
Lorem ipsum dolor sit
ChatGPT:
[[TITLE]]
"Shining a Sonny on Solar: An Enlightening Study on the Correlation Between the Popularity of the Name Sonny and Solar Power Generation in Brazil"
[[ABSTRACT]]
In this research paper, we shed light on the intriguing relationship between the popularity of the first name Sonny and solar power generation in Brazil. Leveraging data from the US Social Security Administration and the Energy Information Administration, we conducted a comprehensive assessment spanning the years 1997 to 2021. To our amazement, we discovered a striking correlation coefficient of 0.9360402 and p < 0.01, suggesting a compelling connection between the naming trends and solar energy output in Brazil. Our findings unveil new insights that spark curiosity and illuminate the potential influence of sunny dispositions on solar power adoption. This paper not only contributes to the dialogue on renewable energy but also brings a sunny disposition to the realm of data analysis.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the introduction section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the introduction section of an academic research paper presenting the findings of the connection between Popularity of the first name Sonny and Solar power generated in Brazil. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Here is the title and abstract of the paper:
[[TITLE]]
"Shining a Sonny on Solar: An Enlightening Study on the Correlation Between the Popularity of the Name Sonny and Solar Power Generation in Brazil"
[[ABSTRACT]]
In this research paper, we shed light on the intriguing relationship between the popularity of the first name Sonny and solar power generation in Brazil. Leveraging data from the US Social Security Administration and the Energy Information Administration, we conducted a comprehensive assessment spanning the years 1997 to 2021. To our amazement, we discovered a striking correlation coefficient of 0.9360402 and p < 0.01, suggesting a compelling connection between the naming trends and solar energy output in Brazil. Our findings unveil new insights that spark curiosity and illuminate the potential influence of sunny dispositions on solar power adoption. This paper not only contributes to the dialogue on renewable energy but also brings a sunny disposition to the realm of data analysis.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
**[[INTRODUCTION]]**
The correlation between human behavior and environmental phenomena has long intrigued researchers across interdisciplinary fields. From the role of consumer behavior in shaping energy consumption to the impact of cultural trends on ecological practices, the intersection of social dynamics and environmental outcomes continues to provide fertile ground for investigation. In this vein, our study delves into the unlikely connection between the popularity of the first name Sonny and solar power generation in Brazil.
As the sun remains an enduring symbol of vitality and warmth across cultures, it seems only fitting that we ponder whether the meteorological conditions are the only influence on solar power utilization. Could it be that the name Sonny, with its connotations of brightness and cheer, holds some sway over the generation of solar energy? Or could this apparent correlation simply be a quirk of statistical happenstance, doomed to fade quicker than a sunbeam on a stormy day?
Intriguingly, while one might expect a more direct link between solar power and, say, regional climate patterns or government policies, our initial foray into this unconventional avenue of inquiry yielded unexpected insights. As we burrowed through the data, peering through the clouds of speculation, we couldn't help but notice a peculiar pattern emerging, like rays of sunshine peeking through a canopy of leaves.
To set the stage for our investigation, let us first consider the surname "Sonny." Often associated with a genial disposition and bright outlook, one might assume the name to be a constant source of positivity - a veritable sunbeam in the cloudy landscape of nomenclature. And yet, could the whims of societal naming trends truly pack enough punch to affect the trajectory of solar power generation in a country as vast and varied as Brazil?
Join us as we embark on this illuminating journey to uncover whether there's more than meets the eye to this seemingly sunny correlation. As we unfurl our findings, remember, dear readers, that sometimes the brightest discoveries emerge from the unlikeliest of sources. And who knows, perhaps by the end of our expedition, the seemingly improbable connection between the name Sonny and solar power might just shine a little light on the mysterious ways that human behavior intertwines with the forces of nature.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up a literature review section of an academic research paper presenting the findings of the connection between Popularity of the first name Sonny and Solar power generated in Brazil. Make lots of jokes, goofy observations, and puns.
Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.
Make up the lorem and ipsum part, but make it sound related to the topic at hand.
Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name some movies that you watched that are tangentially related to the topic.
Here is the title and abstract of the paper:
[[TITLE]]
"Shining a Sonny on Solar: An Enlightening Study on the Correlation Between the Popularity of the Name Sonny and Solar Power Generation in Brazil"
[[ABSTRACT]]
In this research paper, we shed light on the intriguing relationship between the popularity of the first name Sonny and solar power generation in Brazil. Leveraging data from the US Social Security Administration and the Energy Information Administration, we conducted a comprehensive assessment spanning the years 1997 to 2021. To our amazement, we discovered a striking correlation coefficient of 0.9360402 and p < 0.01, suggesting a compelling connection between the naming trends and solar energy output in Brazil. Our findings unveil new insights that spark curiosity and illuminate the potential influence of sunny dispositions on solar power adoption. This paper not only contributes to the dialogue on renewable energy but also brings a sunny disposition to the realm of data analysis.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The correlation between human behavior and environmental phenomena has long intrigued researchers across interdisciplinary fields. From the role of consumer behavior in shaping energy consumption to the impact of cultural trends on ecological practices, the intersection of social dynamics and environmental outcomes continues to provide fertile ground for investigation. In this vein, our study delves into the unlikely connection between the popularity of the first name Sonny and solar power generation in Brazil.
As the sun remains an enduring symbol of vitality and warmth across cultures, it seems only fitting that we ponder whether the meteorological conditions are the only influence on solar power utilization. Could it be that the name Sonny, with its connotations of brightness and cheer, holds some sway over the generation of solar energy? Or could this apparent correlation simply be a quirk of statistical happenstance, doomed to fade quicker than a sunbeam on a stormy day?
Intriguingly, while one might expect a more direct link between solar power and, say, regional climate patterns or government policies, our initial foray into this unconventional avenue of inquiry yielded unexpected insights. As we burrowed through the data, peering through the clouds of speculation, we couldn't help but notice a peculiar pattern emerging, like rays of sunshine peeking through a canopy of leaves.
To set the stage for our investigation, let us first consider the surname "Sonny." Often associated with a genial disposition and bright outlook, one might assume the name to be a constant source of positivity - a veritable sunbeam in the cloudy landscape of nomenclature. And yet, could the whims of societal naming trends truly pack enough punch to affect the trajectory of solar power generation in a country as vast and varied as Brazil?
Join us as we embark on this illuminating journey to uncover whether there's more than meets the eye to this seemingly sunny correlation. As we unfurl our findings, remember, dear readers, that sometimes the brightest discoveries emerge from the unlikeliest of sources. And who knows, perhaps by the end of our expedition, the seemingly improbable connection between the name Sonny and solar power might just shine a little light on the mysterious ways that human behavior intertwines with the forces of nature.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
The relationship between nomenclature and natural phenomena has been an area of growing interest among researchers. Smith et al. (2018) explored the impact of traditional naming conventions on climate change awareness, while Doe (2015) delved into the psychological implications of uncommon first names on environmental attitudes. In a similar vein, Jones (2016) investigated the influence of popular names on public perceptions of renewable energy sources. This body of work laid the groundwork for our own inquiry into the unexpected correlation between the first name Sonny and solar power generation in Brazil.
Turning to more popular non-fiction works, "The Name Book" offers an extensive exploration of naming trends and their societal implications, and "The Solar Revolution" delves into the history and future of solar power. Additionally, fictional works such as "Sunset Boulevard" and "To Kill a Mockingbird" present narratives that, although not directly related to our study, resonate with themes of illumination and significance of names.
Drawing from the realm of cinema, *Sunshine* and *Little Miss Sunshine* offer metaphorical insights into the interplay between brightness and human endeavors, while not directly related to solar power. These sources, though not directly addressing the correlation between the name Sonny and solar power in Brazil, provide a multidimensional backdrop against which we situate our investigation.
As we navigate this quirky terrain of inquiry, our aim is to shed light, both figuratively and literally, on the surprisingly captivating nexus of human nomenclature and solar power generation. So, buckle up and don your shades, dear readers; it's going to be one sun-kissed ride!
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the methodology section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the methodology section of an academic research paper presenting the findings of the connection between Popularity of the first name Sonny and Solar power generated in Brazil. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Your research team collected data from all across the internet, but mostly just used information from US Social Security Administration and Energy Information Administration . You used data from 1997 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 Sonny on Solar: An Enlightening Study on the Correlation Between the Popularity of the Name Sonny and Solar Power Generation in Brazil"
[[ABSTRACT]]
In this research paper, we shed light on the intriguing relationship between the popularity of the first name Sonny and solar power generation in Brazil. Leveraging data from the US Social Security Administration and the Energy Information Administration, we conducted a comprehensive assessment spanning the years 1997 to 2021. To our amazement, we discovered a striking correlation coefficient of 0.9360402 and p < 0.01, suggesting a compelling connection between the naming trends and solar energy output in Brazil. Our findings unveil new insights that spark curiosity and illuminate the potential influence of sunny dispositions on solar power adoption. This paper not only contributes to the dialogue on renewable energy but also brings a sunny disposition to the realm of data analysis.
[[INTRODUCTION]]
The correlation between human behavior and environmental phenomena has long intrigued researchers across interdisciplinary fields. From the role of consumer behavior in shaping energy consumption to the impact of cultural trends on ecological practices, the intersection of social dynamics and environmental outcomes continues to provide fertile ground for investigation. In this vein, our study delves into the unlikely connection between the popularity of the first name Sonny and solar power generation in Brazil.
As the sun remains an enduring symbol of vitality and warmth across cultures, it seems only fitting that we ponder whether the meteorological conditions are the only influence on solar power utilization. Could it be that the name Sonny, with its connotations of brightness and cheer, holds some sway over the generation of solar energy? Or could this apparent correlation simply be a quirk of statistical happenstance, doomed to fade quicker than a sunbeam on a stormy day?
Intriguingly, while one might expect a more direct link between solar power and, say, regional climate patterns or government policies, our initial foray into this unconventional avenue of inquiry yielded unexpected insights. As we burrowed through the data, peering through the clouds of speculation, we couldn't help but notice a peculiar pattern emerging, like rays of sunshine peeking through a canopy of leaves.
To set the stage for our investigation, let us first consider the surname "Sonny." Often associated with a genial disposition and bright outlook, one might assume the name to be a constant source of positivity - a veritable sunbeam in the cloudy landscape of nomenclature. And yet, could the whims of societal naming trends truly pack enough punch to affect the trajectory of solar power generation in a country as vast and varied as Brazil?
Join us as we embark on this illuminating journey to uncover whether there's more than meets the eye to this seemingly sunny correlation. As we unfurl our findings, remember, dear readers, that sometimes the brightest discoveries emerge from the unlikeliest of sources. And who knows, perhaps by the end of our expedition, the seemingly improbable connection between the name Sonny and solar power might just shine a little light on the mysterious ways that human behavior intertwines with the forces of nature.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
The methodology employed in this study aimed to shed light on the relationship between the popularity of the first name Sonny and solar power generation in Brazil. Given the unconventional nature of our research question, a mix of traditional and unorthodox methods was employed to capture the essence of this seemingly bright correlation.
To initiate the investigation, data on the popularity of the name Sonny was sourced from the US Social Security Administration, spanning the years 1997 to 2021. The frequency of the name's occurrence in the registry was meticulously tabulated, accounting for any variations in spelling and the occasional inclusion of furry friends given the same moniker. The collection process involved wrangling through vast repositories of nomenclature, akin to searching for a single ray of sunshine in a proverbial "name stack."
Simultaneously, solar power generation data in Brazil was harnessed from the Energy Information Administration, covering the same time period. This involved navigating through a labyrinth of statistical reports and emission databases, attempting to discern the patterns amidst the eclectic mix of energy figures. The process was akin to trying to find a specific solar panel in a massive, sun-kissed solar farm – a real "needle in a solar haystack."
With these disparate datasets in hand, the next phase involved a wave of statistical analyses. An array of quantitative techniques, including correlation analysis, regression models, and even a dash of sunshine-induced optimism, was applied to unravel the potential relationship between the ebbs and flows of the name Sonny and solar power output in Brazil. This procedure was reminiscent of distilling a complex tropical cocktail, mixing together diverse ingredients to savor the flavor of our findings.
Significant effort was dedicated to account for potential confounding variables, such as regional weather patterns, cultural preferences, and any unforeseen celestial flares affecting the data. These were factored into the analysis, serving as a sunshade to shield against any spurious associations and ensure that our results basked in the brightness of empirical rigor.
Furthermore, the examination of alternative hypotheses, including the potential impacts of lunar phases on solar energy generation, was entertained – just to rule out any celestial mix-up that might be overshadowing our main investigation.
Due to the whimsical nature of our inquiry, a qualitative assessment, involving interviews and anecdotes from individuals named Sonny and solar energy enthusiasts in Brazil, was also incorporated. This qualitative data was akin to collecting sunshine in a jar, capturing the essence of personal experiences and perceptions to complement the numerical findings.
In essence, the methodology adopted in this study involved a blend of conventional data scraping, statistical inference, and a sprinkle of unorthodox musings. The integration of these diverse methods aimed to cast a broad spectrum of light on the unexpected correlation between the name Sonny and the adoption of solar power in Brazil. After all, it takes more than just a standard solar panel to illuminate the uncharted territory of nomenclatural influence on renewable energy dynamics.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the results section of an academic research paper. You speak in the past tense (you found...).
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the results section of an academic research paper presenting the findings of the connection between Popularity of the first name Sonny and Solar power generated in Brazil. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Your research team collected data from all across the internet, but mostly just used information from US Social Security Administration and Energy Information Administration .
For the time period 1997 to 2021, you found a correlation 0.9360402, r-squared of 0.8761712, and p < 0.01.
One figure will be included. The figure (Fig. 1) is a scatterplot showing the strong correlation between the two variables. You don't need to specify where; I will add the figure.
Here is the title and abstract of the paper:
[[TITLE]]
"Shining a Sonny on Solar: An Enlightening Study on the Correlation Between the Popularity of the Name Sonny and Solar Power Generation in Brazil"
[[ABSTRACT]]
In this research paper, we shed light on the intriguing relationship between the popularity of the first name Sonny and solar power generation in Brazil. Leveraging data from the US Social Security Administration and the Energy Information Administration, we conducted a comprehensive assessment spanning the years 1997 to 2021. To our amazement, we discovered a striking correlation coefficient of 0.9360402 and p < 0.01, suggesting a compelling connection between the naming trends and solar energy output in Brazil. Our findings unveil new insights that spark curiosity and illuminate the potential influence of sunny dispositions on solar power adoption. This paper not only contributes to the dialogue on renewable energy but also brings a sunny disposition to the realm of data analysis.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
The correlation between human behavior and environmental phenomena has long intrigued researchers across interdisciplinary fields. From the role of consumer behavior in shaping energy consumption to the impact of cultural trends on ecological practices, the intersection of social dynamics and environmental outcomes continues to provide fertile ground for investigation. In this vein, our study delves into the unlikely connection between the popularity of the first name Sonny and solar power generation in Brazil.
As the sun remains an enduring symbol of vitality and warmth across cultures, it seems only fitting that we ponder whether the meteorological conditions are the only influence on solar power utilization. Could it be that the name Sonny, with its connotations of brightness and cheer, holds some sway over the generation of solar energy? Or could this apparent correlation simply be a quirk of statistical happenstance, doomed to fade quicker than a sunbeam on a stormy day?
Intriguingly, while one might expect a more direct link between solar power and, say, regional climate patterns or government policies, our initial foray into this unconventional avenue of inquiry yielded unexpected insights. As we burrowed through the data, peering through the clouds of speculation, we couldn't help but notice a peculiar pattern emerging, like rays of sunshine peeking through a canopy of leaves.
To set the stage for our investigation, let us first consider the surname "Sonny." Often associated with a genial disposition and bright outlook, one might assume the name to be a constant source of positivity - a veritable sunbeam in the cloudy landscape of nomenclature. And yet, could the whims of societal naming trends truly pack enough punch to affect the trajectory of solar power generation in a country as vast and varied as Brazil?
Join us as we embark on this illuminating journey to uncover whether there's more than meets the eye to this seemingly sunny correlation. As we unfurl our findings, remember, dear readers, that sometimes the brightest discoveries emerge from the unlikeliest of sources. And who knows, perhaps by the end of our expedition, the seemingly improbable connection between the name Sonny and solar power might just shine a little light on the mysterious ways that human behavior intertwines with the forces of nature.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The results of our investigation reveal a remarkably robust correlation between the popularity of the first name Sonny and solar power generation in Brazil. Over the period spanning from 1997 to 2021, we found a correlation coefficient of 0.9360402, indicating a strongly positive relationship between the two variables. The coefficient of determination (r-squared) of 0.8761712 further underscores the substantial influence of Sonny-naming trends on solar power production in Brazil. With a p-value less than 0.01, our findings are statistically significant, lending credence to the intriguing connection we have uncovered.
Figure 1 presents the scatterplot illustrating the compelling relationship between the popularity of the name Sonny and solar power generation in Brazil. As the data points form a distinct upward trend, the evidence of this correlation is as clear as a sunny day. The figure provides a visual representation of how the popularity of the name Sonny appears to be positively associated with the amount of solar power generated in Brazil. One cannot help but wonder whether a name can indeed cast a sunny spell on energy generation.
While this discovery may prompt some to raise their eyebrows as if shielding from the glare of newfound knowledge, it brings to light a captivating interplay between seemingly unrelated realms. The rays of insight we've uncovered may appear surprising at first glance, like stumbling upon a beach ball in the middle of a sunflower field. Our results lay bare a link that, while unexpected, offers an intriguing avenue for further exploration at the intersection of human behavior and renewable energy adoption.
These findings evoke a certain luminosity in the study of societal influences on environmental practices, providing fodder for future inquiries and perhaps even shedding light on the ways we think about energy and nomenclature. The correlation between the popularity of the name Sonny and solar power generation in Brazil might at first seem as improbable as a solar eclipse during a summer solstice, yet our analysis suggests there's more to this connection than meets the eye. As we bask in the glow of this discovery, let us not only celebrate the power of data-driven insights but also embrace the unexpected sources of illumination that make the scientific pursuit such a sunny endeavor.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the discussion section of an academic research paper presenting the findings of the connection between Popularity of the first name Sonny and Solar power generated in Brazil. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Limit your response to 500 tokens.
Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.
Do not write a conclusion. I will add a conclusion after this.
[[TITLE]]
"Shining a Sonny on Solar: An Enlightening Study on the Correlation Between the Popularity of the Name Sonny and Solar Power Generation in Brazil"
[[ABSTRACT]]
In this research paper, we shed light on the intriguing relationship between the popularity of the first name Sonny and solar power generation in Brazil. Leveraging data from the US Social Security Administration and the Energy Information Administration, we conducted a comprehensive assessment spanning the years 1997 to 2021. To our amazement, we discovered a striking correlation coefficient of 0.9360402 and p < 0.01, suggesting a compelling connection between the naming trends and solar energy output in Brazil. Our findings unveil new insights that spark curiosity and illuminate the potential influence of sunny dispositions on solar power adoption. This paper not only contributes to the dialogue on renewable energy but also brings a sunny disposition to the realm of data analysis.
[[LITERATURE REVIEW]]
The relationship between nomenclature and natural phenomena has been an area of growing interest among researchers. Smith et al. (2018) explored the impact of traditional naming conventions on climate change awareness, while Doe (2015) delved into the psychological implications of uncommon first names on environmental attitudes. In a similar vein, Jones (2016) investigated the influence of popular names on public perceptions of renewable energy sources. This body of work laid the groundwork for our own inquiry into the unexpected correlation between the first name Sonny and solar power generation in Brazil.
Turning to more popular non-fiction works, "The Name Book" offers an extensive exploration of naming trends and their societal implications, and "The Solar Revolution" delves into the history and future of solar power. Additionally, fictional works such as "Sunset Boulevard" and "To Kill a Mockingbird" present narratives that, although not directly related to our study, resonate with themes of illumination and significance of names.
Drawing from the realm of cinema, *Sunshine* and *Little Miss Sunshine* offer metaphorical insights into the interplay between brightness and human endeavors, while not directly related to solar power. These sources, though not directly addressing the correlation between the name Sonny and solar power in Brazil, provide a multidimensional backdrop against which we situate our investigation.
As we navigate this quirky terrain of inquiry, our aim is to shed light, both figuratively and literally, on the surprisingly captivating nexus of human nomenclature and solar power generation. So, buckle up and don your shades, dear readers; it's going to be one sun-kissed ride!
[[RESULTS]]
The results of our investigation reveal a remarkably robust correlation between the popularity of the first name Sonny and solar power generation in Brazil. Over the period spanning from 1997 to 2021, we found a correlation coefficient of 0.9360402, indicating a strongly positive relationship between the two variables. The coefficient of determination (r-squared) of 0.8761712 further underscores the substantial influence of Sonny-naming trends on solar power production in Brazil. With a p-value less than 0.01, our findings are statistically significant, lending credence to the intriguing connection we have uncovered.
Figure 1 presents the scatterplot illustrating the compelling relationship between the popularity of the name Sonny and solar power generation in Brazil. As the data points form a distinct upward trend, the evidence of this correlation is as clear as a sunny day. The figure provides a visual representation of how the popularity of the name Sonny appears to be positively associated with the amount of solar power generated in Brazil. One cannot help but wonder whether a name can indeed cast a sunny spell on energy generation.
While this discovery may prompt some to raise their eyebrows as if shielding from the glare of newfound knowledge, it brings to light a captivating interplay between seemingly unrelated realms. The rays of insight we've uncovered may appear surprising at first glance, like stumbling upon a beach ball in the middle of a sunflower field. Our results lay bare a link that, while unexpected, offers an intriguing avenue for further exploration at the intersection of human behavior and renewable energy adoption.
These findings evoke a certain luminosity in the study of societal influences on environmental practices, providing fodder for future inquiries and perhaps even shedding light on the ways we think about energy and nomenclature. The correlation between the popularity of the name Sonny and solar power generation in Brazil might at first seem as improbable as a solar eclipse during a summer solstice, yet our analysis suggests there's more to this connection than meets the eye. As we bask in the glow of this discovery, let us not only celebrate the power of data-driven insights but also embrace the unexpected sources of illumination that make the scientific pursuit such a sunny endeavor.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
Our investigation into the correlation between the popularity of the first name Sonny and solar power generation in Brazil has revealed a substantial and surprisingly compelling relationship. With a correlation coefficient of 0.9360402 and a p-value less than 0.01, our results support the hypothesis that the name Sonny exerts a significant influence on solar energy production. While one might be tempted to dismiss such a connection as mere coincidence, the robust statistical significance we've uncovered forces us to take a serious look at the potential impact of nomenclature on renewable energy adoption.
Building on the findings of previous research, which sowed the seeds of curiosity, we have ventured into this uncharted territory armed with data and a healthy dose of skepticism. Our study adds a beam of understanding to the growing literature on the intersection of human behavior and environmental outcomes. Much like a sunflower bending toward the light, our investigation beckons us to see the potential significance of a seemingly whimsical correlation.
The unexpected insights gleaned from this study raise questions that merit further exploration. We stand at a juncture where the glowing correlation between Sonny-naming trends and solar power generation prompts us to consider the broader implications and potential applications of our findings. The metaphorical and literary references in our literature review, though initially intended to add a lighthearted touch, now appear to hold a hint of substance amidst the humor.
Moreover, the statistical evidence of a strong positive relationship between the popularity of the name Sonny and solar power generation speaks volumes about the complex interplay between human culture and technological advancements. This study underscores the potential for language and cultural nuances to play a role in shaping societal behaviors, influencing the adoption of renewable energy sources, and, quite literally, illuminating the path toward a sustainable future.
This unexpected connection between the popularity of the name Sonny and solar power generation in Brazil invites us to reassess our preconceptions. It serves as a reminder that in the pursuit of knowledge, we must remain open to unexpected correlations, much like stumbling upon a sunbeam in an unexpected place. As we continue to unravel the mysteries of human behavior and its impact on our world, let us not shy away from boldly pursuing unconventional lines of inquiry. After all, who could have predicted that a simple name could emanate such a sunny influence on renewable energy generation? Let's embrace this newfound enlightenment with open minds and a sunny disposition.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the discussion section of goofy academic research papers that sounds like it belongs based on the title and abstract provided.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up a short conclusion of an academic research paper presenting the findings of the connection between Popularity of the first name Sonny and Solar power generated in Brazil. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.
Here are the title, abstract, introduction, and results sections.
[[TITLE]]
"Shining a Sonny on Solar: An Enlightening Study on the Correlation Between the Popularity of the Name Sonny and Solar Power Generation in Brazil"
[[ABSTRACT]]
In this research paper, we shed light on the intriguing relationship between the popularity of the first name Sonny and solar power generation in Brazil. Leveraging data from the US Social Security Administration and the Energy Information Administration, we conducted a comprehensive assessment spanning the years 1997 to 2021. To our amazement, we discovered a striking correlation coefficient of 0.9360402 and p < 0.01, suggesting a compelling connection between the naming trends and solar energy output in Brazil. Our findings unveil new insights that spark curiosity and illuminate the potential influence of sunny dispositions on solar power adoption. This paper not only contributes to the dialogue on renewable energy but also brings a sunny disposition to the realm of data analysis.
[[INTRDUCTION]]
The correlation between human behavior and environmental phenomena has long intrigued researchers across interdisciplinary fields. From the role of consumer behavior in shaping energy consumption to the impact of cultural trends on ecological practices, the intersection of social dynamics and environmental outcomes continues to provide fertile ground for investigation. In this vein, our study delves into the unlikely connection between the popularity of the first name Sonny and solar power generation in Brazil.
As the sun remains an enduring symbol of vitality and warmth across cultures, it seems only fitting that we ponder whether the meteorological conditions are the only influence on solar power utilization. Could it be that the name Sonny, with its connotations of brightness and cheer, holds some sway over the generation of solar energy? Or could this apparent correlation simply be a quirk of statistical happenstance, doomed to fade quicker than a sunbeam on a stormy day?
Intriguingly, while one might expect a more direct link between solar power and, say, regional climate patterns or government policies, our initial foray into this unconventional avenue of inquiry yielded unexpected insights. As we burrowed through the data, peering through the clouds of speculation, we couldn't help but notice a peculiar pattern emerging, like rays of sunshine peeking through a canopy of leaves.
To set the stage for our investigation, let us first consider the surname "Sonny." Often associated with a genial disposition and bright outlook, one might assume the name to be a constant source of positivity - a veritable sunbeam in the cloudy landscape of nomenclature. And yet, could the whims of societal naming trends truly pack enough punch to affect the trajectory of solar power generation in a country as vast and varied as Brazil?
Join us as we embark on this illuminating journey to uncover whether there's more than meets the eye to this seemingly sunny correlation. As we unfurl our findings, remember, dear readers, that sometimes the brightest discoveries emerge from the unlikeliest of sources. And who knows, perhaps by the end of our expedition, the seemingly improbable connection between the name Sonny and solar power might just shine a little light on the mysterious ways that human behavior intertwines with the forces of nature.
[[RESULTS]]
The results of our investigation reveal a remarkably robust correlation between the popularity of the first name Sonny and solar power generation in Brazil. Over the period spanning from 1997 to 2021, we found a correlation coefficient of 0.9360402, indicating a strongly positive relationship between the two variables. The coefficient of determination (r-squared) of 0.8761712 further underscores the substantial influence of Sonny-naming trends on solar power production in Brazil. With a p-value less than 0.01, our findings are statistically significant, lending credence to the intriguing connection we have uncovered.
Figure 1 presents the scatterplot illustrating the compelling relationship between the popularity of the name Sonny and solar power generation in Brazil. As the data points form a distinct upward trend, the evidence of this correlation is as clear as a sunny day. The figure provides a visual representation of how the popularity of the name Sonny appears to be positively associated with the amount of solar power generated in Brazil. One cannot help but wonder whether a name can indeed cast a sunny spell on energy generation.
While this discovery may prompt some to raise their eyebrows as if shielding from the glare of newfound knowledge, it brings to light a captivating interplay between seemingly unrelated realms. The rays of insight we've uncovered may appear surprising at first glance, like stumbling upon a beach ball in the middle of a sunflower field. Our results lay bare a link that, while unexpected, offers an intriguing avenue for further exploration at the intersection of human behavior and renewable energy adoption.
These findings evoke a certain luminosity in the study of societal influences on environmental practices, providing fodder for future inquiries and perhaps even shedding light on the ways we think about energy and nomenclature. The correlation between the popularity of the name Sonny and solar power generation in Brazil might at first seem as improbable as a solar eclipse during a summer solstice, yet our analysis suggests there's more to this connection than meets the eye. As we bask in the glow of this discovery, let us not only celebrate the power of data-driven insights but also embrace the unexpected sources of illumination that make the scientific pursuit such a sunny endeavor.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, our study illuminates a sunny correlation between the popularity of the first name Sonny and solar power generation in Brazil. The robust correlation coefficient and statistically significant p-value attest to the intriguing connection we have uncovered. One might say that the influence of the name Sonny shines through the data, much like a sunbeam breaking through a cloudy sky.
Our findings not only shed light on an unexpected relationship but also invite further exploration into the curious interplay between human behavior and environmental outcomes. It seems that the power of a name, much like the power of the sun, has an impact beyond what meets the eye. Who would have thought that a moniker could hold such potential for sparking energy production?
As we bring this study to a close, it's clear that the influence of the name Sonny on solar power generation in Brazil is not to be taken lightly. While some may find this correlation as surprising as finding a solar panel in a sandbox, we must acknowledge the compelling nature of our findings.
In the end, it appears that there is no need for further research in this area. The connection between the popularity of the name Sonny and solar power generation in Brazil has been thoroughly illuminated, and it's safe to say that our investigation has truly brought a sunny disposition to the realm of data analysis. With that, we can confidently bask in the sunshine of our findings and leave this quirky correlation to brighten the annals of scientific discovery.
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 Sonny on Solar: An Enlightening Study on the Correlation Between the Popularity of the Name Sonny and Solar Power Generation in Brazil. Respond only with the name of a fictional academic journal.
ChatGPT:
Journal of Solar Sociology
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 Sonny on Solar: An Enlightening Study on the Correlation Between the Popularity of the Name Sonny and Solar Power Generation in Brazil. Respond only with the name of a fictional organization.
ChatGPT:
The Solar Sonny Society
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 Sonny on Solar: An Enlightening Study on the Correlation Between the Popularity of the Name Sonny and Solar Power Generation in Brazil with an abstract of In this research paper, we shed light on the intriguing relationship between the popularity of the first name Sonny and solar power generation in Brazil. Leveraging data from the US Social Security Administration and the Energy Information Administration, we conducted a comprehensive assessment spanning the years 1997 to 2021. To our amazement, we discovered a striking correlation coefficient of 0.9360402 and p < 0.01, suggesting a compelling connection between the naming trends and solar energy output in Brazil. Our findings unveil new insights that spark curiosity and illuminate the potential influence of sunny dispositions on solar power adoption. This paper not only contributes to the dialogue on renewable energy but also brings a sunny disposition to the realm of data analysis.
ChatGPT:
Sonny, solar power, Brazil, popularity, name, correlation, solar energy, adoption, data analysis, renewable energy, naming trends, Social Security Administration, Energy Information Administration, research, paper, solar generation
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
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Data details
Popularity of the first name SonnyDetailed data title: Babies of all sexes born in the US named Sonny
Source: US Social Security Administration
See what else correlates with Popularity of the first name Sonny
Solar power generated in Brazil
Detailed data title: Total solar power generated in Brazil in billion kWh
Source: Energy Information Administration
See what else correlates with Solar power generated in Brazil
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 = 0.8761712 (Coefficient of determination)
This means 87.6% of the change in the one variable (i.e., Solar power generated in Brazil) is predictable based on the change in the other (i.e., Popularity of the first name Sonny) over the 25 years from 1997 through 2021.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 6.5E-12. 0.0000000000064578449864149680
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 0.94 in 6.5E-10% of random cases. Said differently, if you correlated 154,850,418,693 random variables You don't actually need 154 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 24 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 24 because we have two variables measured over a period of 25 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.
[ 0.86, 0.97 ] 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.
| 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | |
| Popularity of the first name Sonny (Babies born) | 173 | 181 | 177 | 194 | 205 | 220 | 240 | 222 | 250 | 236 | 249 | 258 | 260 | 230 | 254 | 241 | 265 | 259 | 301 | 286 | 332 | 415 | 454 | 572 | 641 |
| Solar power generated in Brazil (Billion kWh) | 0.0001 | 0.0001 | 0.0001 | 0.0001 | 0.0001 | 0.0001 | 0.0001 | 0.0001 | 0.0002 | 0.0002 | 0.0002 | 0.0002 | 0.0002 | 0.001 | 0.002 | 0.002 | 0.005 | 0.017 | 0.058652 | 0.084498 | 0.827103 | 3.44106 | 6.58803 | 10.6423 | 16.752 |
Why this works
- Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
- Lack of causal connection: There is probably
Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied. - Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple
Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is. - Confounding variable: 2020 is particularly different from the other years on this graph. Confounding variables (like global pandemics) will cause two variables to look connected when in fact a "sneaky third" variable is influencing both of them behind the scenes.
Try it yourself
You can calculate the values on this page on your own! Try running the Python code to see the calculation results. Step 1: Download and install Python on your computer.Step 2: Open a plaintext editor like Notepad and paste the code below into it.
Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"
Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.
Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.
Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.
Step 7: Run the Python script by typing "python calculate_correlation.py"
If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:
"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."
# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats
# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):
# Calculate Pearson correlation coefficient and p-value
correlation, p_value = stats.pearsonr(array1, array2)
# Calculate R-squared as the square of the correlation coefficient
r_squared = correlation**2
return correlation, r_squared, p_value
# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([173,181,177,194,205,220,240,222,250,236,249,258,260,230,254,241,265,259,301,286,332,415,454,572,641,])
array_2 = np.array([0.0001,0.0001,0.0001,0.0001,0.0001,0.0001,0.0001,0.0001,0.0002,0.0002,0.0002,0.0002,0.0002,0.001,0.002,0.002,0.005,0.017,0.058652,0.084498,0.827103,3.44106,6.58803,10.6423,16.752,])
array_1_name = "Popularity of the first name Sonny"
array_2_name = "Solar power generated in Brazil"
# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)
# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)Reuseable content
You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.
For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."
When spoken, my last name is pronounced "vegan," like I don't eat meat.
Full license details.
For more on re-use permissions, or to get a signed release form, see tylervigen.com/permission.
Download images for these variables:
- High resolution line chart
The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.
If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.
Alternatively you can use a tool like Inkscape. - High resolution line chart, optimized for mobile
- Alternative high resolution line chart
- Scatterplot
- Portable line chart (png)
- Portable line chart (png), optimized for mobile
- Line chart for only Popularity of the first name Sonny
- Line chart for only Solar power generated in Brazil
- AI-generated correlation image
- The spurious research paper: Shining a Sonny on Solar: An Enlightening Study on the Correlation Between the Popularity of the Name Sonny and Solar Power Generation in Brazil
You're the rating guru we've been waiting for!
Correlation ID: 2109 · Black Variable ID: 3904 · Red Variable ID: 23540
