Download png, svg
AI explanation
As more Californians showed their support for the Libertarian candidate, it created a surge in political energy. This energy somehow crossed borders and sparked a biomass power boom in Uganda. It's like the votes were casting a green, electrifying spell all the way to Africa. Or maybe the Californians' collective decision to back the Libertarian candidate just wood-chipped away at the conventional power dynamics, leading to a whole new branch of political influence reaching Uganda. It's a vote-powered, eco-friendly domino effect that no one saw coming!
Model: dalle-3
Prompt: [ Data cyber art ] Generate an image of a dynamic scene where a wave of citizens in California are lining up to proudly cast their ballots for the Libertarian Presidential candidate. The background should showcase a bustling atmosphere with people engaging in the democratic process. As the votes are being cast, demonstrate a transition to a vibrant depiction of a Biomass power plant in Uganda. Show the plant humming with activity, surrounded by lush greenery and technological infrastructure. The energy from the Californian votes should be symbolized as a pulsating, green, electrifying spell that illuminates the scene and powers the plant, signifying a cross-border influence. Create a visually captivating chain reaction effect that connects the votes in California to the flourishing biomass power boom in Uganda. The interconnectedness and domino effect should be visually evident, portraying the transformative power of political energy sparking an environmental shift across borders. 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: Votes for the Libertarian Presidential candidate in California and Biomass power generated in Uganda. 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: Concept art Psychedelic Magic realism Whimsical illustration Data cyber art
ChatGPT: Data cyber 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 Votes for the Libertarian Presidential candidate in California and Biomass power generated in Uganda, in the following situation: As more Californians showed their support for the Libertarian candidate, it created a surge in political energy. This energy somehow crossed borders and sparked a biomass power boom in Uganda. It's like the votes were casting a green, electrifying spell all the way to Africa. Or maybe the Californians' collective decision to back the Libertarian candidate just wood-chipped away at the conventional power dynamics, leading to a whole new branch of political influence reaching Uganda. It's a vote-powered, eco-friendly domino effect that no one saw coming!. Keep the description simple.
ChatGPT: In California, a wave of citizens proudly cast their ballots for the Libertarian Presidential candidate. As their votes sparked a surge of political energy, the scene shifts to Uganda, where a bustling Biomass power plant hums with activity. The energy from the Californian votes seems to have crossed borders, igniting a green, electrifying spell that powers the plant. It's as if the votes have fueled a domino effect, setting off a chain reaction that culminates in a flourishing biomass power boom in Uganda.
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: [ Data cyber art ] and depicting this scene: In California, a wave of citizens proudly cast their ballots for the Libertarian Presidential candidate. As their votes sparked a surge of political energy, the scene shifts to Uganda, where a bustling Biomass power plant hums with activity. The energy from the Californian votes seems to have crossed borders, igniting a green, electrifying spell that powers the plant. It's as if the votes have fueled a domino effect, setting off a chain reaction that culminates in a flourishing biomass power boom in Uganda. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: [ Data cyber art ] Generate an image of a dynamic scene where a wave of citizens in California are lining up to proudly cast their ballots for the Libertarian Presidential candidate. The background should showcase a bustling atmosphere with people engaging in the democratic process. As the votes are being cast, demonstrate a transition to a vibrant depiction of a Biomass power plant in Uganda. Show the plant humming with activity, surrounded by lush greenery and technological infrastructure. The energy from the Californian votes should be symbolized as a pulsating, green, electrifying spell that illuminates the scene and powers the plant, signifying a cross-border influence. Create a visually captivating chain reaction effect that connects the votes in California to the flourishing biomass power boom in Uganda. The interconnectedness and domino effect should be visually evident, portraying the transformative power of political energy sparking an environmental shift across borders.
*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 Votes for the Libertarian Presidential candidate in California caused Biomass power generated in Uganda to increase. Include one good pun.
AI academic paper
 |
The Libertarian Effect: A Correlational Study of Votes for the Libertarian Presidential Candidate in California and Biomass Power Generation in Uganda The Journal of Comparative Political Quirkiness 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 Votes for the Libertarian Presidential candidate in California and Biomass power generated in Uganda. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Make the title punny if you can come up with clever pun. If not, just make it sound clever.
Your research team used data from MIT Election Data and Science Lab, Harvard Dataverse and Energy Information Administration to assess this nagging question. You found a correlation coefficient of 0.9742355 and p < 0.01 for 2000 to 2020.
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]]
The Libertarian Effect: A Correlational Study of Votes for the Libertarian Presidential Candidate in California and Biomass Power Generation in Uganda
[[ABSTRACT]]
In this study, we sought to shed light on the unexpected and seemingly unrelated relationship between political preferences in the Golden State and renewable energy practices in the Pearl of Africa. Our team delved into extensive datasets from the MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, meticulously examining electoral trends in California and biomass power generation in Uganda from 2000 to 2020. Surprisingly, our analysis revealed a remarkably strong correlation coefficient of 0.9742355 (p < 0.01) between votes cast for the Libertarian presidential candidate in California and the annual biomass power generated in Uganda.
Though we initially approached this investigation with an air of skepticism, the data spoke for itself, leaving us both amused and intrigued by the peculiar connection between seemingly disparate occurrences. It seems that even across continents and political systems, there may be an unseen force at play - or perhaps it's just a case of "biopolitics" in action! As the old saying goes, "Where there's a will, there's a way... to form unexpected statistical correlations!" With these unexpected findings, we invite further exploration and analysis to uncover the root of this unlikely link and its potential implications for both the political and renewable energy landscapes.
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 Votes for the Libertarian Presidential candidate in California and Biomass power generated in Uganda. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Here is the title and abstract of the paper:
[[TITLE]]
The Libertarian Effect: A Correlational Study of Votes for the Libertarian Presidential Candidate in California and Biomass Power Generation in Uganda
[[ABSTRACT]]
In this study, we sought to shed light on the unexpected and seemingly unrelated relationship between political preferences in the Golden State and renewable energy practices in the Pearl of Africa. Our team delved into extensive datasets from the MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, meticulously examining electoral trends in California and biomass power generation in Uganda from 2000 to 2020. Surprisingly, our analysis revealed a remarkably strong correlation coefficient of 0.9742355 (p < 0.01) between votes cast for the Libertarian presidential candidate in California and the annual biomass power generated in Uganda.
Though we initially approached this investigation with an air of skepticism, the data spoke for itself, leaving us both amused and intrigued by the peculiar connection between seemingly disparate occurrences. It seems that even across continents and political systems, there may be an unseen force at play - or perhaps it's just a case of "biopolitics" in action! As the old saying goes, "Where there's a will, there's a way... to form unexpected statistical correlations!" With these unexpected findings, we invite further exploration and analysis to uncover the root of this unlikely link and its potential implications for both the political and renewable energy landscapes.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
In the realm of statistical analysis, one often encounters unexpected correlations that prompt a raised eyebrow and a puzzled expression. It's like finding a connection between a pumpkin spice latte and a surprisingly high voter turnout – you may not see it coming, but once it's there, you just can't ignore it. Such is the case with our recent study, which uncovers a fascinating link between votes for the Libertarian presidential candidate in California and the production of biomass power in Uganda. It seems these two seemingly unrelated entities are not so different after all – perhaps they share a common love for thinking outside the box!
As researchers with a penchant for unraveling enigmatic patterns, we set out to examine the interplay between political inclinations and renewable energy practices. It's like attempting to solve a riddle that dares you to connect the dots between laissez-faire political ideologies and sustainable energy solutions – a puzzle more intriguing than a sudoku with a side of solar panels. To our surprise, the data yielded a correlation that was as strong as an elephant's memory and as robust as a redwood tree – leading us to ponder the age-old question: "What do you get when you cross a politically libertarian mindset with a Ugandan biomass plant? An electrifying revelation, that's what!"
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 Votes for the Libertarian Presidential candidate in California and Biomass power generated in Uganda. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
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 devolve ever further, and mention something completely ridiculous, like you conducted literature review by reading the backs of shampoo bottles.
Here is the title and abstract of the paper:
[[TITLE]]
The Libertarian Effect: A Correlational Study of Votes for the Libertarian Presidential Candidate in California and Biomass Power Generation in Uganda
[[ABSTRACT]]
In this study, we sought to shed light on the unexpected and seemingly unrelated relationship between political preferences in the Golden State and renewable energy practices in the Pearl of Africa. Our team delved into extensive datasets from the MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, meticulously examining electoral trends in California and biomass power generation in Uganda from 2000 to 2020. Surprisingly, our analysis revealed a remarkably strong correlation coefficient of 0.9742355 (p < 0.01) between votes cast for the Libertarian presidential candidate in California and the annual biomass power generated in Uganda.
Though we initially approached this investigation with an air of skepticism, the data spoke for itself, leaving us both amused and intrigued by the peculiar connection between seemingly disparate occurrences. It seems that even across continents and political systems, there may be an unseen force at play - or perhaps it's just a case of "biopolitics" in action! As the old saying goes, "Where there's a will, there's a way... to form unexpected statistical correlations!" With these unexpected findings, we invite further exploration and analysis to uncover the root of this unlikely link and its potential implications for both the political and renewable energy landscapes.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
In the realm of statistical analysis, one often encounters unexpected correlations that prompt a raised eyebrow and a puzzled expression. It's like finding a connection between a pumpkin spice latte and a surprisingly high voter turnout – you may not see it coming, but once it's there, you just can't ignore it. Such is the case with our recent study, which uncovers a fascinating link between votes for the Libertarian presidential candidate in California and the production of biomass power in Uganda. It seems these two seemingly unrelated entities are not so different after all – perhaps they share a common love for thinking outside the box!
As researchers with a penchant for unraveling enigmatic patterns, we set out to examine the interplay between political inclinations and renewable energy practices. It's like attempting to solve a riddle that dares you to connect the dots between laissez-faire political ideologies and sustainable energy solutions – a puzzle more intriguing than a sudoku with a side of solar panels. To our surprise, the data yielded a correlation that was as strong as an elephant's memory and as robust as a redwood tree – leading us to ponder the age-old question: "What do you get when you cross a politically libertarian mindset with a Ugandan biomass plant? An electrifying revelation, that's what!"
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
The connection between electoral behavior in California and renewable energy practices in Uganda may seem as unlikely as a giraffe wearing a top hat, but as we delve into the existing literature, we find some intriguing insights. Smith and Doe, in their seminal work "Politics and Energy: Unlikely Bedfellows," discuss the role of political ideologies in shaping energy policies, shedding light on the potential influence of political voting patterns on sustainable energy initiatives. This brings new meaning to the phrase "political power" – both in terms of governance and electricity generation!
Jones, in "Renewable Energy Across Borders," explores the global dynamics of renewable energy production and consumption, yet falls short of focusing on the unexpected intercontinental ties we have uncovered in our own investigation. It seems that as researchers, we have stumbled upon a correlation as surprising as finding a solar panel in a cornfield – a definite "shocking" discovery!
Turning to non-fiction books, "The Age of Sustainable Politics" by Greene and "The Libertarian Mind" by Boaz offer valuable perspectives on the intersection of political ideology and environmental practices. It's like witnessing a fusion dance between Ayn Rand and a wind turbine – an unlikely pairing, yet somehow unyieldingly captivating.
In the realm of fiction, we encounter works such as "The Power of Politics" by Wattson and "The Green Candidate" by Leaf, which, while not grounded in rigorous scientific inquiry, still provide a whimsical backdrop for considering the unexpected parallels we've unveiled. It's as if the ghosts of Thoreau and Milton Friedman have come together to craft an environmental manifesto – a literary twist as delightfully absurd as a penguin on roller skates!
Finally, in conducting our literature review, we have delved into an eclectic array of sources, from scholarly journals to the backs of shampoo bottles. While the correlation between political votes in California and biomass power in Uganda may be as enigmatic as the ingredients list on a shampoo bottle, our findings serve as a testament to the captivating and unpredictable nature of statistical research.
In the words of Mark Twain, "The secret of getting ahead is getting started," and in shedding light on this unlikely correlation, we have certainly embarked on an electrifying journey of unexpected discoveries – as zany and unpredictable as a clown riding a unicycle through a renewable energy fair!
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 Votes for the Libertarian Presidential candidate in California and Biomass power generated in Uganda. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Your research team collected data from all across the internet, but mostly just used information from MIT Election Data and Science Lab, Harvard Dataverse and Energy Information Administration . You used data from 2000 to 2020
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]]
The Libertarian Effect: A Correlational Study of Votes for the Libertarian Presidential Candidate in California and Biomass Power Generation in Uganda
[[ABSTRACT]]
In this study, we sought to shed light on the unexpected and seemingly unrelated relationship between political preferences in the Golden State and renewable energy practices in the Pearl of Africa. Our team delved into extensive datasets from the MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, meticulously examining electoral trends in California and biomass power generation in Uganda from 2000 to 2020. Surprisingly, our analysis revealed a remarkably strong correlation coefficient of 0.9742355 (p < 0.01) between votes cast for the Libertarian presidential candidate in California and the annual biomass power generated in Uganda.
Though we initially approached this investigation with an air of skepticism, the data spoke for itself, leaving us both amused and intrigued by the peculiar connection between seemingly disparate occurrences. It seems that even across continents and political systems, there may be an unseen force at play - or perhaps it's just a case of "biopolitics" in action! As the old saying goes, "Where there's a will, there's a way... to form unexpected statistical correlations!" With these unexpected findings, we invite further exploration and analysis to uncover the root of this unlikely link and its potential implications for both the political and renewable energy landscapes.
[[INTRODUCTION]]
In the realm of statistical analysis, one often encounters unexpected correlations that prompt a raised eyebrow and a puzzled expression. It's like finding a connection between a pumpkin spice latte and a surprisingly high voter turnout – you may not see it coming, but once it's there, you just can't ignore it. Such is the case with our recent study, which uncovers a fascinating link between votes for the Libertarian presidential candidate in California and the production of biomass power in Uganda. It seems these two seemingly unrelated entities are not so different after all – perhaps they share a common love for thinking outside the box!
As researchers with a penchant for unraveling enigmatic patterns, we set out to examine the interplay between political inclinations and renewable energy practices. It's like attempting to solve a riddle that dares you to connect the dots between laissez-faire political ideologies and sustainable energy solutions – a puzzle more intriguing than a sudoku with a side of solar panels. To our surprise, the data yielded a correlation that was as strong as an elephant's memory and as robust as a redwood tree – leading us to ponder the age-old question: "What do you get when you cross a politically libertarian mindset with a Ugandan biomass plant? An electrifying revelation, that's what!"
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To dissect the mysterious correlation between votes for the Libertarian presidential candidate in California and the production of biomass power in Uganda, this study adopted a multi-faceted and somewhat unorthodox research approach. In a manner reminiscent of a detective investigating the case of the missing correlation, we meticulously gathered data from diverse sources and subjected it to rigorous scrutiny - just like a team of forensic accountants examining every penny in a comedic heist movie!
The primary datasets for our investigation were sourced from reputable repositories such as the MIT Election Data and Science Lab, the Harvard Dataverse, and the Energy Information Administration. We selected these sources in the same way a Martian selects its preferred landing spot – by carefully considering their reliability, comprehensiveness, and alignment with the scope of our study. It's essential to choose data sources wisely, as one must be as discerning as a wine connoisseur when selecting a vintage dataset.
To measure votes for the Libertarian presidential candidate in California, we utilized election data from 2000 to 2020, meticulously collecting and tallying each vote as if we were detail-oriented mathematicians ensuring every equation adds up. Similarly, for the analysis of biomass power generation in Uganda, we tapped into data from the same period, taking into account annual production figures and channeling our inner renewable energy enthusiasts.
Following the acquisition of our data, we dived into the parallel universes of electoral preferences and renewable energy, armed with statistical tools that would make even a probability distribution blush! Employing robust statistical methods such as Pearson's correlation coefficient, we quantified the strength and direction of the relationship between votes for the Libertarian presidential candidate in California and biomass power generation in Uganda. This approach allowed us to determine the degree of association between these seemingly incongruent variables, all the while maintaining a keen eye for statistical mischief.
As with any compelling mystery, the investigation of this peculiar correlation required a blend of scholarly acumen and a touch of whimsy. In the spirit of both scientific rigor and levity, our methodology aimed to shed light on this unexpected relationship while infusing a sense of curiosity and merriment into the world of academic inquiry. After all, who said academic research can't have a sense of humor? Just like a dad joke at a science convention, a little humor can always lighten the mood and spark new insights!
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 Votes for the Libertarian Presidential candidate in California and Biomass power generated in Uganda. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Your research team collected data from all across the internet, but mostly just used information from MIT Election Data and Science Lab, Harvard Dataverse and Energy Information Administration .
For the time period 2000 to 2020, you found a correlation 0.9742355, r-squared of 0.9491348, 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]]
The Libertarian Effect: A Correlational Study of Votes for the Libertarian Presidential Candidate in California and Biomass Power Generation in Uganda
[[ABSTRACT]]
In this study, we sought to shed light on the unexpected and seemingly unrelated relationship between political preferences in the Golden State and renewable energy practices in the Pearl of Africa. Our team delved into extensive datasets from the MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, meticulously examining electoral trends in California and biomass power generation in Uganda from 2000 to 2020. Surprisingly, our analysis revealed a remarkably strong correlation coefficient of 0.9742355 (p < 0.01) between votes cast for the Libertarian presidential candidate in California and the annual biomass power generated in Uganda.
Though we initially approached this investigation with an air of skepticism, the data spoke for itself, leaving us both amused and intrigued by the peculiar connection between seemingly disparate occurrences. It seems that even across continents and political systems, there may be an unseen force at play - or perhaps it's just a case of "biopolitics" in action! As the old saying goes, "Where there's a will, there's a way... to form unexpected statistical correlations!" With these unexpected findings, we invite further exploration and analysis to uncover the root of this unlikely link and its potential implications for both the political and renewable energy landscapes.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
In the realm of statistical analysis, one often encounters unexpected correlations that prompt a raised eyebrow and a puzzled expression. It's like finding a connection between a pumpkin spice latte and a surprisingly high voter turnout – you may not see it coming, but once it's there, you just can't ignore it. Such is the case with our recent study, which uncovers a fascinating link between votes for the Libertarian presidential candidate in California and the production of biomass power in Uganda. It seems these two seemingly unrelated entities are not so different after all – perhaps they share a common love for thinking outside the box!
As researchers with a penchant for unraveling enigmatic patterns, we set out to examine the interplay between political inclinations and renewable energy practices. It's like attempting to solve a riddle that dares you to connect the dots between laissez-faire political ideologies and sustainable energy solutions – a puzzle more intriguing than a sudoku with a side of solar panels. To our surprise, the data yielded a correlation that was as strong as an elephant's memory and as robust as a redwood tree – leading us to ponder the age-old question: "What do you get when you cross a politically libertarian mindset with a Ugandan biomass plant? An electrifying revelation, that's what!"
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
Upon conducting a thorough statistical analysis, we found a strikingly high correlation coefficient of 0.9742355 between votes for the Libertarian presidential candidate in California and the annual biomass power generated in Uganda over the period of 2000 to 2020. This correlation was further supported by an r-squared value of 0.9491348, signifying a robust relationship between these seemingly disparate variables. It's as if the political philosophies and energy production practices were engaged in a covert, cross-continental dance that we hadn't even noticed until now - talk about a global tango!
As we scrutinized the scatterplot in Fig. 1, the points formed a nearly perfect linear pattern, as if the votes in California were whispering sweet political nothings to the biomass power generated in Uganda. It's almost as if they're saying, "I'm a Libertarian voter in California, and I'm a-maize-d by the power of your biomass production in Uganda!" What a captivating sight it was, observing these two distant variables "hand-in-hand," dancing to the beat of a p-value less than 0.01.
Our findings suggest a deeper connection between the political landscape in a developed nation and the renewable energy efforts in a developing one. Perhaps it's a tale of supportive policy frameworks transcending national boundaries, or maybe it's just a case of political principles taking root in unexpected places. The "grassroots" movement seems to have a whole new meaning now, doesn't it?
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 Votes for the Libertarian Presidential candidate in California and Biomass power generated in Uganda. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
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]]
The Libertarian Effect: A Correlational Study of Votes for the Libertarian Presidential Candidate in California and Biomass Power Generation in Uganda
[[ABSTRACT]]
In this study, we sought to shed light on the unexpected and seemingly unrelated relationship between political preferences in the Golden State and renewable energy practices in the Pearl of Africa. Our team delved into extensive datasets from the MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, meticulously examining electoral trends in California and biomass power generation in Uganda from 2000 to 2020. Surprisingly, our analysis revealed a remarkably strong correlation coefficient of 0.9742355 (p < 0.01) between votes cast for the Libertarian presidential candidate in California and the annual biomass power generated in Uganda.
Though we initially approached this investigation with an air of skepticism, the data spoke for itself, leaving us both amused and intrigued by the peculiar connection between seemingly disparate occurrences. It seems that even across continents and political systems, there may be an unseen force at play - or perhaps it's just a case of "biopolitics" in action! As the old saying goes, "Where there's a will, there's a way... to form unexpected statistical correlations!" With these unexpected findings, we invite further exploration and analysis to uncover the root of this unlikely link and its potential implications for both the political and renewable energy landscapes.
[[LITERATURE REVIEW]]
The connection between electoral behavior in California and renewable energy practices in Uganda may seem as unlikely as a giraffe wearing a top hat, but as we delve into the existing literature, we find some intriguing insights. Smith and Doe, in their seminal work "Politics and Energy: Unlikely Bedfellows," discuss the role of political ideologies in shaping energy policies, shedding light on the potential influence of political voting patterns on sustainable energy initiatives. This brings new meaning to the phrase "political power" – both in terms of governance and electricity generation!
Jones, in "Renewable Energy Across Borders," explores the global dynamics of renewable energy production and consumption, yet falls short of focusing on the unexpected intercontinental ties we have uncovered in our own investigation. It seems that as researchers, we have stumbled upon a correlation as surprising as finding a solar panel in a cornfield – a definite "shocking" discovery!
Turning to non-fiction books, "The Age of Sustainable Politics" by Greene and "The Libertarian Mind" by Boaz offer valuable perspectives on the intersection of political ideology and environmental practices. It's like witnessing a fusion dance between Ayn Rand and a wind turbine – an unlikely pairing, yet somehow unyieldingly captivating.
In the realm of fiction, we encounter works such as "The Power of Politics" by Wattson and "The Green Candidate" by Leaf, which, while not grounded in rigorous scientific inquiry, still provide a whimsical backdrop for considering the unexpected parallels we've unveiled. It's as if the ghosts of Thoreau and Milton Friedman have come together to craft an environmental manifesto – a literary twist as delightfully absurd as a penguin on roller skates!
Finally, in conducting our literature review, we have delved into an eclectic array of sources, from scholarly journals to the backs of shampoo bottles. While the correlation between political votes in California and biomass power in Uganda may be as enigmatic as the ingredients list on a shampoo bottle, our findings serve as a testament to the captivating and unpredictable nature of statistical research.
In the words of Mark Twain, "The secret of getting ahead is getting started," and in shedding light on this unlikely correlation, we have certainly embarked on an electrifying journey of unexpected discoveries – as zany and unpredictable as a clown riding a unicycle through a renewable energy fair!
[[RESULTS]]
Upon conducting a thorough statistical analysis, we found a strikingly high correlation coefficient of 0.9742355 between votes for the Libertarian presidential candidate in California and the annual biomass power generated in Uganda over the period of 2000 to 2020. This correlation was further supported by an r-squared value of 0.9491348, signifying a robust relationship between these seemingly disparate variables. It's as if the political philosophies and energy production practices were engaged in a covert, cross-continental dance that we hadn't even noticed until now - talk about a global tango!
As we scrutinized the scatterplot in Fig. 1, the points formed a nearly perfect linear pattern, as if the votes in California were whispering sweet political nothings to the biomass power generated in Uganda. It's almost as if they're saying, "I'm a Libertarian voter in California, and I'm a-maize-d by the power of your biomass production in Uganda!" What a captivating sight it was, observing these two distant variables "hand-in-hand," dancing to the beat of a p-value less than 0.01.
Our findings suggest a deeper connection between the political landscape in a developed nation and the renewable energy efforts in a developing one. Perhaps it's a tale of supportive policy frameworks transcending national boundaries, or maybe it's just a case of political principles taking root in unexpected places. The "grassroots" movement seems to have a whole new meaning now, doesn't it?
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
Our findings have certainly brought a whole new meaning to the phrase "political power," as we've uncovered a surprisingly robust relationship between votes for the Libertarian presidential candidate in California and biomass power generated in Uganda. It appears that even from afar, the political preferences of individuals in California have managed to sway the renewable energy practices in Uganda. It's almost as if the Californian voters reached across the globe and said, "Hey, we carrot all about renewable energy!" - a truly interconnected phenomenon that deserves further investigation.
Our results align with the existing literature on the influence of political ideologies on energy policies. It seems that the political choices made in California have resonated across oceans, encouraging the growth of biomass power in Uganda. This intricate dance between political ideologies and renewable energy practices serves as a reminder that even the most unexpected connections can yield meaningful insights. In a sense, it's like uncovering a solar panel amidst a field of sunflowers – a fascinating discovery that challenges conventional thinking and paves the way for deeper exploration.
The remarkably high correlation coefficient and r-squared value support the notion that there's more than meets the eye when it comes to the intersection of political behavior and renewable energy initiatives. It's as if the votes cast in California have inadvertently fueled the biomass power generation in Uganda, creating a bond as unbreakable as a strong chemical bond. It's a truly electrifying realization, akin to discovering a battery-powered go-kart in a maze – a shockingly delightful revelation that ignites our curiosity and begs for further inquiry.
Our study underscores the potential impact of political voting patterns on energy practices across borders. It's almost as if the political winds that sweep across California have blown seeds of change all the way to Uganda, cultivating a thriving biomass power sector. This unlikely connection presents an exciting frontier for future research, signaling the need to explore the intricate web of global influences on renewable energy practices. In the words of Thomas Edison, "I'd put my money on the sun and solar energy. What a source of power! I hope we don't have to wait until oil and coal run out before we tackle that." Well, it seems that Californian votes and Ugandan biomass are already heeding the call for greener, brighter energy solutions!
This unexpected correlation raises intriguing questions about the underlying mechanisms and potential implications for renewable energy policies. Could it be that the ripple effect of political inclinations extends far beyond national borders, impacting energy practices in ways we've yet to fully comprehend? It's like stumbling upon a solar-powered disco ball at a political convention – a surprising blend of elements resulting in a dazzling display of interconnectedness that demands further investigation.
In conclusion, our findings open up new avenues for exploring the intricate interplay between political ideologies and renewable energy initiatives on a global scale. It's as if the renewable energy landscape has embarked on a surreptitious journey, guided by the unpredictable and whimsical force of political preferences. As we navigate these uncharted territories, we may uncover even more unexpected connections, shedding light on the far-reaching impact of political choices on sustainable energy practices. After all, in the realm of statistical correlations, the possibilities are as endless as a politician's campaign promises!
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 Votes for the Libertarian Presidential candidate in California and Biomass power generated in Uganda. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
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]]
The Libertarian Effect: A Correlational Study of Votes for the Libertarian Presidential Candidate in California and Biomass Power Generation in Uganda
[[ABSTRACT]]
In this study, we sought to shed light on the unexpected and seemingly unrelated relationship between political preferences in the Golden State and renewable energy practices in the Pearl of Africa. Our team delved into extensive datasets from the MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, meticulously examining electoral trends in California and biomass power generation in Uganda from 2000 to 2020. Surprisingly, our analysis revealed a remarkably strong correlation coefficient of 0.9742355 (p < 0.01) between votes cast for the Libertarian presidential candidate in California and the annual biomass power generated in Uganda.
Though we initially approached this investigation with an air of skepticism, the data spoke for itself, leaving us both amused and intrigued by the peculiar connection between seemingly disparate occurrences. It seems that even across continents and political systems, there may be an unseen force at play - or perhaps it's just a case of "biopolitics" in action! As the old saying goes, "Where there's a will, there's a way... to form unexpected statistical correlations!" With these unexpected findings, we invite further exploration and analysis to uncover the root of this unlikely link and its potential implications for both the political and renewable energy landscapes.
[[INTRDUCTION]]
In the realm of statistical analysis, one often encounters unexpected correlations that prompt a raised eyebrow and a puzzled expression. It's like finding a connection between a pumpkin spice latte and a surprisingly high voter turnout – you may not see it coming, but once it's there, you just can't ignore it. Such is the case with our recent study, which uncovers a fascinating link between votes for the Libertarian presidential candidate in California and the production of biomass power in Uganda. It seems these two seemingly unrelated entities are not so different after all – perhaps they share a common love for thinking outside the box!
As researchers with a penchant for unraveling enigmatic patterns, we set out to examine the interplay between political inclinations and renewable energy practices. It's like attempting to solve a riddle that dares you to connect the dots between laissez-faire political ideologies and sustainable energy solutions – a puzzle more intriguing than a sudoku with a side of solar panels. To our surprise, the data yielded a correlation that was as strong as an elephant's memory and as robust as a redwood tree – leading us to ponder the age-old question: "What do you get when you cross a politically libertarian mindset with a Ugandan biomass plant? An electrifying revelation, that's what!"
[[RESULTS]]
Upon conducting a thorough statistical analysis, we found a strikingly high correlation coefficient of 0.9742355 between votes for the Libertarian presidential candidate in California and the annual biomass power generated in Uganda over the period of 2000 to 2020. This correlation was further supported by an r-squared value of 0.9491348, signifying a robust relationship between these seemingly disparate variables. It's as if the political philosophies and energy production practices were engaged in a covert, cross-continental dance that we hadn't even noticed until now - talk about a global tango!
As we scrutinized the scatterplot in Fig. 1, the points formed a nearly perfect linear pattern, as if the votes in California were whispering sweet political nothings to the biomass power generated in Uganda. It's almost as if they're saying, "I'm a Libertarian voter in California, and I'm a-maize-d by the power of your biomass production in Uganda!" What a captivating sight it was, observing these two distant variables "hand-in-hand," dancing to the beat of a p-value less than 0.01.
Our findings suggest a deeper connection between the political landscape in a developed nation and the renewable energy efforts in a developing one. Perhaps it's a tale of supportive policy frameworks transcending national boundaries, or maybe it's just a case of political principles taking root in unexpected places. The "grassroots" movement seems to have a whole new meaning now, doesn't it?
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In wrapping up our unexpected journey through the land of correlated curiosities, it seems we've stumbled upon a statistical spectacle that would make even the most steadfast skeptic crack a smile. Our findings regarding the remarkably strong correlation between votes for the Libertarian presidential candidate in California and the annual biomass power generated in Uganda bring to mind a timeless dad joke – What do you get when you mix political preferences with renewable energy practices? A powerful partnership that leaves you—wait for it—biomoaned! But in all seriousness, the statistical connection here is nothing short of astounding.
While we had our fair share of lighthearted chuckles, these findings also give rise to thought-provoking considerations about the interplay of political ideologies and sustainable energy endeavors. It's as if California's libertarian voters and Uganda's biomass power plants are engaged in an international game of political charades - proving once and for all that, in the world of statistical correlations, truth is indeed stranger than fiction! We are left with more questions than answers, and perhaps that's the beauty of it all.
In closing, we are confident in asserting that no further research is needed in this area. We have uncovered a correlation that tickles the fancy of even the most seasoned statisticians and leaves a smile on the faces of curious minds. As we bask in the illuminating glow of our findings, it's safe to say that this peculiar correlation between political preferences and renewable energy generation is a discovery worthy of a permanent place in the annals of statistical quirkiness. For now, let's bid farewell to this captivating correlation and its unexpected charm, inspiring a newfound appreciation for the wondrous, and often comical, world of statistical analysis.
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 The Libertarian Effect: A Correlational Study of Votes for the Libertarian Presidential Candidate in California and Biomass Power Generation in Uganda. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Comparative Political Quirkiness
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 The Libertarian Effect: A Correlational Study of Votes for the Libertarian Presidential Candidate in California and Biomass Power Generation in Uganda. Respond only with the name of a fictional organization.
ChatGPT:
The Institute for Global Policy Studies
Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled The Libertarian Effect: A Correlational Study of Votes for the Libertarian Presidential Candidate in California and Biomass Power Generation in Uganda with an abstract of In this study, we sought to shed light on the unexpected and seemingly unrelated relationship between political preferences in the Golden State and renewable energy practices in the Pearl of Africa. Our team delved into extensive datasets from the MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, meticulously examining electoral trends in California and biomass power generation in Uganda from 2000 to 2020. Surprisingly, our analysis revealed a remarkably strong correlation coefficient of 0.9742355 (p < 0.01) between votes cast for the Libertarian presidential candidate in California and the annual biomass power generated in Uganda.
Though we initially approached this investigation with an air of skepticism, the data spoke for itself, leaving us both amused and intrigued by the peculiar connection between seemingly disparate occurrences. It seems that even across continents and political systems, there may be an unseen force at play - or perhaps it's just a case of "biopolitics" in action! As the old saying goes, "Where there's a will, there's a way... to form unexpected statistical correlations!" With these unexpected findings, we invite further exploration and analysis to uncover the root of this unlikely link and its potential implications for both the political and renewable energy landscapes.
ChatGPT:
Libertarian presidential candidate, California, votes, biomass power generation, Uganda, correlational study, political preferences, renewable energy practices, MIT Election Data and Science Lab, Harvard Dataverse, Energy Information Administration, electoral trends, statistical correlation, biopolitics, renewable energy landscapes
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
Discover a new correlation
View all correlations
View all research papers
Report an error
Data details
Votes for the Libertarian Presidential candidate in CaliforniaDetailed data title: Total votes cast for the Libertarian Presidential candidate in California
Source: MIT Election Data and Science Lab, Harvard Dataverse
See what else correlates with Votes for the Libertarian Presidential candidate in California
Biomass power generated in Uganda
Detailed data title: Total biomass power generated in Uganda in billion kWh
Source: Energy Information Administration
See what else correlates with Biomass power generated in Uganda
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 = 0.9491348 (Coefficient of determination)
This means 94.9% of the change in the one variable (i.e., Biomass power generated in Uganda) is predictable based on the change in the other (i.e., Votes for the Libertarian Presidential candidate in California) over the 6 years from 2000 through 2020.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.00099. 0.0009871637652103300000000000
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 0.97 in 0.099% of random cases. Said differently, if you correlated 1,013 random variables Which I absolutely did.
with the same 5 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 5 because we have two variables measured over a period of 6 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.
[ 0.78, 1 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.
This one is a bit more complciated than the other calculations, but I include it because many people have been pushing for confidence intervals instead of p-value calculations (for example: NEJM. However, if you are dredging data, you can reliably find yourself in the 5%. That's my goal!
All values for the years included above: If I were being very sneaky, I could trim years from the beginning or end of the datasets to increase the correlation on some pairs of variables. I don't do that because there are already plenty of correlations in my database without monkeying with the years.
Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
| 2000 | 2004 | 2008 | 2012 | 2016 | 2020 | |
| Votes for the Libertarian Presidential candidate in California (Total votes) | 45520 | 50165 | 67582 | 143221 | 478500 | 187895 |
| Biomass power generated in Uganda (Billion kWh) | 0.03 | 0.047 | 0.11 | 0.16 | 0.363 | 0.188 |
Why this works
- Data dredging: I have 25,237 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 636,906,169 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. - Very low n: There are not many data points included in this analysis. Even if the p-value is high, we should be suspicious of using so few datapoints in a correlation.
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([45520,50165,67582,143221,478500,187895,])
array_2 = np.array([0.03,0.047,0.11,0.16,0.363,0.188,])
array_1_name = "Votes for the Libertarian Presidential candidate in California"
array_2_name = "Biomass power generated in Uganda"
# 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 Votes for the Libertarian Presidential candidate in California
- Line chart for only Biomass power generated in Uganda
- AI-generated correlation image
- The spurious research paper: The Libertarian Effect: A Correlational Study of Votes for the Libertarian Presidential Candidate in California and Biomass Power Generation in Uganda
Big thanks for reviewing!
Correlation ID: 5580 · Black Variable ID: 25955 · Red Variable ID: 24059
