AI explanation
As the support for the Libertarian candidate surged in Washington, so did the demand for smaller government intervention. This led to a ripple effect in the global political landscape, ultimately creating a more laissez-faire approach to international trade. The newly relaxed trade policies inadvertently opened up a lucrative market for Mozambican gasoline exports, prompting a sudden increase in gasoline production to meet the unforeseen demand. It's a true case of political ideology fueling economic activity half a world away!
Model: dalle-3
Prompt: Generate an image of a bustling town in Washington with voters proudly casting their ballots for the Libertarian Presidential candidate. Use parallax art to show the surge in support creating a ripple effect, leading to a more relaxed approach to international trade. Zoom in on Mozambique, depicting a scene where gasoline production ramps up as the demand for exports increases due to the newly relaxed trade policies. Show a bustling scene of fuel being pumped to meet the unforeseen demand, with the townspeople and workers prominently displayed. 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 Washington and Gasoline pumped in Mozambique. 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: Glitch art Steampunk Glitch art Steampunk Parallax art
ChatGPT: Parallax 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 Washington and Gasoline pumped in Mozambique, in the following situation: As the support for the Libertarian candidate surged in Washington, so did the demand for smaller government intervention. This led to a ripple effect in the global political landscape, ultimately creating a more laissez-faire approach to international trade. The newly relaxed trade policies inadvertently opened up a lucrative market for Mozambican gasoline exports, prompting a sudden increase in gasoline production to meet the unforeseen demand. It's a true case of political ideology fueling economic activity half a world away!. Keep the description simple.
ChatGPT: In a bustling town in Washington, voters proudly cast their ballots for the Libertarian Presidential candidate, expressing their desire for smaller government intervention. The surge in support creates a ripple effect, leading to a more relaxed approach to international trade. Half a world away, in Mozambique, gasoline production ramps up as the demand for exports increases due to the newly relaxed trade policies, creating a bustling scene of fuel being pumped to meet the unforeseen demand.
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: [ Parallax art ] and depicting this scene: In a bustling town in Washington, voters proudly cast their ballots for the Libertarian Presidential candidate, expressing their desire for smaller government intervention. The surge in support creates a ripple effect, leading to a more relaxed approach to international trade. Half a world away, in Mozambique, gasoline production ramps up as the demand for exports increases due to the newly relaxed trade policies, creating a bustling scene of fuel being pumped to meet the unforeseen demand. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a bustling town in Washington with voters proudly casting their ballots for the Libertarian Presidential candidate. Use parallax art to show the surge in support creating a ripple effect, leading to a more relaxed approach to international trade. Zoom in on Mozambique, depicting a scene where gasoline production ramps up as the demand for exports increases due to the newly relaxed trade policies. Show a bustling scene of fuel being pumped to meet the unforeseen demand, with the townspeople and workers prominently displayed.
*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 increases in Votes for the Libertarian Presidential candidate in Washington positively influenced Gasoline pumped in Mozambique.
AI academic paper
 |
The Correlation Between Libertarians' Votes in Washington and Gasoline Siphoned in Mozambique: A Statistical Odyssey Journal of Quirky Quantitative Research Jan 2024 |
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You write titles and abstracts of goofy academic research papers.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, and add unexpected twists in your writing.
Please draft the title and abstract of an academic research paper presenting the findings of the connection between Votes for the Libertarian Presidential candidate in Washington and Gasoline pumped in Mozambique. Make lots of jokes, goofy observations, and puns.
Rhyme words in the title.
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 0.9273144 and p < 0.01 for 1980 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 Correlation Between Libertarians' Votes in Washington and Gasoline Siphoned in Mozambique: A Statistical Odyssey
[[ABSTRACT]]
This study delves into the unexpected correlation between votes for the Libertarian presidential candidate in the state of Washington and the volume of gasoline pumped in the alluring lands of Mozambique. Using data from MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, our research team uncovered a startling relationship, with a correlation coefficient of 0.9273144 and p < 0.01 from 1980 to 2020. Our findings suggest an intriguing connection between political preferences and international fuel consumption, defying conventional wisdom and leaving us pondering the mysterious forces at play. With statistical significance and a touch of absurdity, let the quest for understanding this unanticipated rapport continue to fuel laughter and contemplation among academia.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the introduction section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the introduction section of an academic research paper presenting the findings of the connection between Votes for the Libertarian Presidential candidate in Washington and Gasoline pumped in Mozambique. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
Here is the title and abstract of the paper:
[[TITLE]]
The Correlation Between Libertarians' Votes in Washington and Gasoline Siphoned in Mozambique: A Statistical Odyssey
[[ABSTRACT]]
This study delves into the unexpected correlation between votes for the Libertarian presidential candidate in the state of Washington and the volume of gasoline pumped in the alluring lands of Mozambique. Using data from MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, our research team uncovered a startling relationship, with a correlation coefficient of 0.9273144 and p < 0.01 from 1980 to 2020. Our findings suggest an intriguing connection between political preferences and international fuel consumption, defying conventional wisdom and leaving us pondering the mysterious forces at play. With statistical significance and a touch of absurdity, let the quest for understanding this unanticipated rapport continue to fuel laughter and contemplation among academia.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
INTRODUCTION
In the realm of statistical exploration, one never knows what surprising connections may be lurking beneath the layers of data. The curious and often whimsical nature of research has a way of leading us down unexpected, and occasionally downright bizarre, paths. In this statistical odyssey, we embark on a journey to unravel the tantalizing correlation between the votes garnered by the Libertarian presidential candidate in Washington and the flow of gasoline in the enchanting lands of Mozambique.
While political and economic analyses often find themselves at opposite ends of the research spectrum, this study unites them in an unprecedented dance. Our investigation has its roots firmly planted in the fertile soil of statistical inquiry, sprouting forth from the MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration. As we wade into the sea of numbers and variables, we find ourselves confronted with a correlation coefficient of 0.9273144 and a p-value less than 0.01, beckoning us closer to the phenomenon that defies the conventional boundaries of scholarly inquiry.
Embarking on this endeavor with a blend of skepticism and intellectual curiosity, we found ourselves unearthing a relationship that challenges the very fabric of societal expectations. The data, spanning the years from 1980 to 2020, has revealed a tantalizing liaison between the political leanings of the denizens of Washington and the gasoline consumption habits in the distant, sun-kissed corners of Mozambique. One may be inclined to ponder whether this correlation is a mere statistical fluke, an artifact of data collection, or perhaps a reflection of an inexplicable cosmic force at play, surreptitiously influencing these seemingly disparate variables.
As we dissect the seemingly absurd link between the political ballot and the gasoline pump, one cannot help but be reminded of the famous quote by physicist Niels Bohr, "It is wrong to think that the task of physics is to find out how nature is. Physics concerns what we can say about nature." Embracing the unexpected twists and turns of statistical inquiry, we delve into this uncharted territory armed with an arsenal of scientific rigor and a healthy dose of humor, for as we navigate through the peculiarities of this correlation, we do so with a twinkle in our eye and a quip on our lips. Indeed, amid the labyrinth of data points and regression analyses, let the quest for understanding this delightfully eccentric relationship continue to fuel scholarly discourse and contemplation, punctuated with humor as we journey through the uncharted statistical anomalies that capture our imagination.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up a literature review section of an academic research paper presenting the findings of the connection between Votes for the Libertarian Presidential candidate in Washington and Gasoline pumped in Mozambique. 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 cartoons and childrens' shows that you watched that are related to the topic.
Here is the title and abstract of the paper:
[[TITLE]]
The Correlation Between Libertarians' Votes in Washington and Gasoline Siphoned in Mozambique: A Statistical Odyssey
[[ABSTRACT]]
This study delves into the unexpected correlation between votes for the Libertarian presidential candidate in the state of Washington and the volume of gasoline pumped in the alluring lands of Mozambique. Using data from MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, our research team uncovered a startling relationship, with a correlation coefficient of 0.9273144 and p < 0.01 from 1980 to 2020. Our findings suggest an intriguing connection between political preferences and international fuel consumption, defying conventional wisdom and leaving us pondering the mysterious forces at play. With statistical significance and a touch of absurdity, let the quest for understanding this unanticipated rapport continue to fuel laughter and contemplation among academia.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
INTRODUCTION
In the realm of statistical exploration, one never knows what surprising connections may be lurking beneath the layers of data. The curious and often whimsical nature of research has a way of leading us down unexpected, and occasionally downright bizarre, paths. In this statistical odyssey, we embark on a journey to unravel the tantalizing correlation between the votes garnered by the Libertarian presidential candidate in Washington and the flow of gasoline in the enchanting lands of Mozambique.
While political and economic analyses often find themselves at opposite ends of the research spectrum, this study unites them in an unprecedented dance. Our investigation has its roots firmly planted in the fertile soil of statistical inquiry, sprouting forth from the MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration. As we wade into the sea of numbers and variables, we find ourselves confronted with a correlation coefficient of 0.9273144 and a p-value less than 0.01, beckoning us closer to the phenomenon that defies the conventional boundaries of scholarly inquiry.
Embarking on this endeavor with a blend of skepticism and intellectual curiosity, we found ourselves unearthing a relationship that challenges the very fabric of societal expectations. The data, spanning the years from 1980 to 2020, has revealed a tantalizing liaison between the political leanings of the denizens of Washington and the gasoline consumption habits in the distant, sun-kissed corners of Mozambique. One may be inclined to ponder whether this correlation is a mere statistical fluke, an artifact of data collection, or perhaps a reflection of an inexplicable cosmic force at play, surreptitiously influencing these seemingly disparate variables.
As we dissect the seemingly absurd link between the political ballot and the gasoline pump, one cannot help but be reminded of the famous quote by physicist Niels Bohr, "It is wrong to think that the task of physics is to find out how nature is. Physics concerns what we can say about nature." Embracing the unexpected twists and turns of statistical inquiry, we delve into this uncharted territory armed with an arsenal of scientific rigor and a healthy dose of humor, for as we navigate through the peculiarities of this correlation, we do so with a twinkle in our eye and a quip on our lips. Indeed, amid the labyrinth of data points and regression analyses, let the quest for understanding this delightfully eccentric relationship continue to fuel scholarly discourse and contemplation, punctuated with humor as we journey through the uncharted statistical anomalies that capture our imagination.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
In their seminal work, Smith and Doe (2010) carefully examined the intricate web of statistical relationships that govern political behaviors and economic patterns. The authors uncovered compelling evidence of unexpected correlations, challenging traditional assumptions and opening the floodgates to unconventional statistical pairings. Building upon this foundation, Jones et al. (2015) delved into the enigmatic realm of international fuel consumption, unearthing revelations that sent shockwaves through the academic community. Their findings called into question the very fabric of cause and effect, beckoning scholars to ponder the mysterious forces at play beyond the veneer of conventional wisdom.
Turning to broader literature, Stern's "The Quest for Quirky Correlations" (2018) offered a whimsical yet thought-provoking analysis of unlikely statistical relationships, tracing the blurred lines between the absurd and the plausible. Meanwhile, in their work "Tales of the Bizarre: Statistical Anomalies Revisited" (2017), White and Black delved into the untrodden territory of statistical curiosities, challenging readers to reframe their understanding of correlation and causation.
Venturing into the realm of fiction, Eco's "The Name of the Rose" (1980) may seem an unlikely addition to our review, but its intricate blend of mystery and intellectual curiosity bears an unexpected resemblance to the enigma we seek to unravel. Similarly, the whimsical musings of Carroll's "Alice's Adventures in Wonderland" (1865) offer a delightful contrast to the austere world of statistical inquiry, reflecting the unpredictable nature of the statistical odyssey that lies before us.
In the world of animation and children's programming, the delightful escapades of "Phineas and Ferb" and their penchant for unlikely inventions and whimsical pursuits draw a peculiar parallel to our endeavor. Similarly, the oft-overlooked "Cyberchase" captivates young minds with its forays into the world of mathematics and logic, offering an unexpected resonance with our own quest for numerical enigmas.
As we navigate the labyrinthine corridors of statistical oddities, let us not forget that laughter and levity have their place amidst the rigors of inquiry. With a twinkle in our eye and a spring in our step, we approach the interplay between Libertarian votes in Washington and gasoline pumped in Mozambique, armed with an unwavering commitment to rigor and a healthy dose of humor.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the methodology section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the methodology section of an academic research paper presenting the findings of the connection between Votes for the Libertarian Presidential candidate in Washington and Gasoline pumped in Mozambique. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
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 1980 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 Correlation Between Libertarians' Votes in Washington and Gasoline Siphoned in Mozambique: A Statistical Odyssey
[[ABSTRACT]]
This study delves into the unexpected correlation between votes for the Libertarian presidential candidate in the state of Washington and the volume of gasoline pumped in the alluring lands of Mozambique. Using data from MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, our research team uncovered a startling relationship, with a correlation coefficient of 0.9273144 and p < 0.01 from 1980 to 2020. Our findings suggest an intriguing connection between political preferences and international fuel consumption, defying conventional wisdom and leaving us pondering the mysterious forces at play. With statistical significance and a touch of absurdity, let the quest for understanding this unanticipated rapport continue to fuel laughter and contemplation among academia.
[[INTRODUCTION]]
INTRODUCTION
In the realm of statistical exploration, one never knows what surprising connections may be lurking beneath the layers of data. The curious and often whimsical nature of research has a way of leading us down unexpected, and occasionally downright bizarre, paths. In this statistical odyssey, we embark on a journey to unravel the tantalizing correlation between the votes garnered by the Libertarian presidential candidate in Washington and the flow of gasoline in the enchanting lands of Mozambique.
While political and economic analyses often find themselves at opposite ends of the research spectrum, this study unites them in an unprecedented dance. Our investigation has its roots firmly planted in the fertile soil of statistical inquiry, sprouting forth from the MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration. As we wade into the sea of numbers and variables, we find ourselves confronted with a correlation coefficient of 0.9273144 and a p-value less than 0.01, beckoning us closer to the phenomenon that defies the conventional boundaries of scholarly inquiry.
Embarking on this endeavor with a blend of skepticism and intellectual curiosity, we found ourselves unearthing a relationship that challenges the very fabric of societal expectations. The data, spanning the years from 1980 to 2020, has revealed a tantalizing liaison between the political leanings of the denizens of Washington and the gasoline consumption habits in the distant, sun-kissed corners of Mozambique. One may be inclined to ponder whether this correlation is a mere statistical fluke, an artifact of data collection, or perhaps a reflection of an inexplicable cosmic force at play, surreptitiously influencing these seemingly disparate variables.
As we dissect the seemingly absurd link between the political ballot and the gasoline pump, one cannot help but be reminded of the famous quote by physicist Niels Bohr, "It is wrong to think that the task of physics is to find out how nature is. Physics concerns what we can say about nature." Embracing the unexpected twists and turns of statistical inquiry, we delve into this uncharted territory armed with an arsenal of scientific rigor and a healthy dose of humor, for as we navigate through the peculiarities of this correlation, we do so with a twinkle in our eye and a quip on our lips. Indeed, amid the labyrinth of data points and regression analyses, let the quest for understanding this delightfully eccentric relationship continue to fuel scholarly discourse and contemplation, punctuated with humor as we journey through the uncharted statistical anomalies that capture our imagination.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
Having embarked on this whimsical journey of statistical exploration, we commence with an eclectic array of research methods and analytical techniques to unravel the mystical connection between votes for the Libertarian presidential candidate in Washington and gasoline consumption in Mozambique.
Data Collection:
Our research team scoured the digital expanse, mining information from the MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration to amass a treasure trove of data spanning the years from 1980 to 2020. Utilizing these rich repositories, we harvested election results, gasoline consumption figures, and a plethora of socio-economic variables to capture the essence of this enigmatic correlation.
Statistical Techniques:
To navigate the labyrinth of data points and tease out the interdisciplinary bond between political proclivities and fuel utilization, we unleashed an arsenal of statistical tools with the finesse of a delighted wizard wielding a wand. Our analysis incorporated a myriad of approaches, including bivariate correlation analyses, multiple regression models, and perhaps even a touch of divination to unlock the secrets veiled within the numbers.
Model Development:
Drawing inspiration from the whimsy of statistical inquiry, we concocted models that harmonized the mercurial nature of voter preferences with the ebbs and flows of gasoline consumption, aiming to capture this improbable association with academic rigor and a dash of mirth. Embracing the spirit of creativity, our models transcended the conventional boundaries of research and danced with the delight of unexpected findings in the hallowed halls of academia.
Validation and Sensitivity Analyses:
In true jestful fashion, our methodology extended to rigorous validation and sensitivity analyses, where we prodded and poked our models with the precision of a jesting troubadour, testing their robustness and resilience to ensure that the bewitching correlation between votes in Washington and gasoline in Mozambique did not succumb to the whims of chance or statistical tomfoolery.
Ethical Considerations:
Amidst the revelry of statistical discovery, we remained ever cognizant of the ethical dimensions of our research, ensuring that our data collection and analyses adhered to the principles of academic integrity and statistical merriment, with an unwavering commitment to scholarly jocularity and intellectual probity.
With an unorthodox mix of statistical wizardry and scholarly jest, the methodology of this study paves the way for a mirthful yet rigorous exploration of the captivating correlation between votes for the Libertarian presidential candidate in Washington and the gasoline charms of Mozambique.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the results section of an academic research paper. You speak in the past tense (you found...).
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the results section of an academic research paper presenting the findings of the connection between Votes for the Libertarian Presidential candidate in Washington and Gasoline pumped in Mozambique. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
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 1980 to 2020, you found a correlation 0.9273144, r-squared of 0.8599119, 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 Correlation Between Libertarians' Votes in Washington and Gasoline Siphoned in Mozambique: A Statistical Odyssey
[[ABSTRACT]]
This study delves into the unexpected correlation between votes for the Libertarian presidential candidate in the state of Washington and the volume of gasoline pumped in the alluring lands of Mozambique. Using data from MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, our research team uncovered a startling relationship, with a correlation coefficient of 0.9273144 and p < 0.01 from 1980 to 2020. Our findings suggest an intriguing connection between political preferences and international fuel consumption, defying conventional wisdom and leaving us pondering the mysterious forces at play. With statistical significance and a touch of absurdity, let the quest for understanding this unanticipated rapport continue to fuel laughter and contemplation among academia.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
INTRODUCTION
In the realm of statistical exploration, one never knows what surprising connections may be lurking beneath the layers of data. The curious and often whimsical nature of research has a way of leading us down unexpected, and occasionally downright bizarre, paths. In this statistical odyssey, we embark on a journey to unravel the tantalizing correlation between the votes garnered by the Libertarian presidential candidate in Washington and the flow of gasoline in the enchanting lands of Mozambique.
While political and economic analyses often find themselves at opposite ends of the research spectrum, this study unites them in an unprecedented dance. Our investigation has its roots firmly planted in the fertile soil of statistical inquiry, sprouting forth from the MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration. As we wade into the sea of numbers and variables, we find ourselves confronted with a correlation coefficient of 0.9273144 and a p-value less than 0.01, beckoning us closer to the phenomenon that defies the conventional boundaries of scholarly inquiry.
Embarking on this endeavor with a blend of skepticism and intellectual curiosity, we found ourselves unearthing a relationship that challenges the very fabric of societal expectations. The data, spanning the years from 1980 to 2020, has revealed a tantalizing liaison between the political leanings of the denizens of Washington and the gasoline consumption habits in the distant, sun-kissed corners of Mozambique. One may be inclined to ponder whether this correlation is a mere statistical fluke, an artifact of data collection, or perhaps a reflection of an inexplicable cosmic force at play, surreptitiously influencing these seemingly disparate variables.
As we dissect the seemingly absurd link between the political ballot and the gasoline pump, one cannot help but be reminded of the famous quote by physicist Niels Bohr, "It is wrong to think that the task of physics is to find out how nature is. Physics concerns what we can say about nature." Embracing the unexpected twists and turns of statistical inquiry, we delve into this uncharted territory armed with an arsenal of scientific rigor and a healthy dose of humor, for as we navigate through the peculiarities of this correlation, we do so with a twinkle in our eye and a quip on our lips. Indeed, amid the labyrinth of data points and regression analyses, let the quest for understanding this delightfully eccentric relationship continue to fuel scholarly discourse and contemplation, punctuated with humor as we journey through the uncharted statistical anomalies that capture our imagination.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
Our statistical analysis revealed a remarkably robust correlation between the votes for the Libertarian presidential candidate in Washington and the amount of gasoline pumped in the captivating locale of Mozambique. The correlation coefficient of 0.9273144 suggests a strong positive relationship between these seemingly unrelated variables, leaving us scratching our heads and marveling at the mysterious dance of statistics.
The scatterplot depicted in Figure 1 visually encapsulates this surprising connection, with the data points aligning themselves in a manner that would make even the most astute statistical analyst do a double-take. As each point on the graph exudes a sense of enigmatic camaraderie with its neighboring gasoline pump and political vote, we couldn't help but chuckle at the whimsical nature of our findings. Who knew that political inclinations in Washington could resonate so harmoniously with Mozambican gasoline consumption?
The r-squared value of 0.8599119 further bolsters the legitimacy of this correlation, affirming that approximately 85.99% of the variation in gasoline pumped in Mozambique can be explained by the votes for the Libertarian candidate in Washington. One can't help but wonder if the citizens of Washington have been secretly whispering their political allegiances into the ears of Mozambican fuel pumps, urging them to spur forth with greater enthusiasm.
And let's not forget the infamous p-value – less than 0.01, shambling its way into the realm of statistical significance like a creature of statistical lore. With such a minuscule p-value, we can confidently assert that the correlation we've uncovered is not a result of random chance or a statistical fluke. No, this relationship is as real and tangible as the perplexing allure of a statistical anomaly waiting to be dissected and savored.
In conclusion, our findings stand as a testament to the capricious nature of statistical exploration, reminding us that sometimes the most confounding relationships lurk beneath the surface of our data. This correlation, with its blend of statistical significance and quirkiness, beckons us to delve deeper into the mysteries of human behavior and global dynamics, leaving us with a sly smile and a newfound appreciation for the delightful absurdity that is statistical research.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the discussion section of an academic research paper presenting the findings of the connection between Votes for the Libertarian Presidential candidate in Washington and Gasoline pumped in Mozambique. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
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 Correlation Between Libertarians' Votes in Washington and Gasoline Siphoned in Mozambique: A Statistical Odyssey
[[ABSTRACT]]
This study delves into the unexpected correlation between votes for the Libertarian presidential candidate in the state of Washington and the volume of gasoline pumped in the alluring lands of Mozambique. Using data from MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, our research team uncovered a startling relationship, with a correlation coefficient of 0.9273144 and p < 0.01 from 1980 to 2020. Our findings suggest an intriguing connection between political preferences and international fuel consumption, defying conventional wisdom and leaving us pondering the mysterious forces at play. With statistical significance and a touch of absurdity, let the quest for understanding this unanticipated rapport continue to fuel laughter and contemplation among academia.
[[LITERATURE REVIEW]]
In their seminal work, Smith and Doe (2010) carefully examined the intricate web of statistical relationships that govern political behaviors and economic patterns. The authors uncovered compelling evidence of unexpected correlations, challenging traditional assumptions and opening the floodgates to unconventional statistical pairings. Building upon this foundation, Jones et al. (2015) delved into the enigmatic realm of international fuel consumption, unearthing revelations that sent shockwaves through the academic community. Their findings called into question the very fabric of cause and effect, beckoning scholars to ponder the mysterious forces at play beyond the veneer of conventional wisdom.
Turning to broader literature, Stern's "The Quest for Quirky Correlations" (2018) offered a whimsical yet thought-provoking analysis of unlikely statistical relationships, tracing the blurred lines between the absurd and the plausible. Meanwhile, in their work "Tales of the Bizarre: Statistical Anomalies Revisited" (2017), White and Black delved into the untrodden territory of statistical curiosities, challenging readers to reframe their understanding of correlation and causation.
Venturing into the realm of fiction, Eco's "The Name of the Rose" (1980) may seem an unlikely addition to our review, but its intricate blend of mystery and intellectual curiosity bears an unexpected resemblance to the enigma we seek to unravel. Similarly, the whimsical musings of Carroll's "Alice's Adventures in Wonderland" (1865) offer a delightful contrast to the austere world of statistical inquiry, reflecting the unpredictable nature of the statistical odyssey that lies before us.
In the world of animation and children's programming, the delightful escapades of "Phineas and Ferb" and their penchant for unlikely inventions and whimsical pursuits draw a peculiar parallel to our endeavor. Similarly, the oft-overlooked "Cyberchase" captivates young minds with its forays into the world of mathematics and logic, offering an unexpected resonance with our own quest for numerical enigmas.
As we navigate the labyrinthine corridors of statistical oddities, let us not forget that laughter and levity have their place amidst the rigors of inquiry. With a twinkle in our eye and a spring in our step, we approach the interplay between Libertarian votes in Washington and gasoline pumped in Mozambique, armed with an unwavering commitment to rigor and a healthy dose of humor.
[[RESULTS]]
Our statistical analysis revealed a remarkably robust correlation between the votes for the Libertarian presidential candidate in Washington and the amount of gasoline pumped in the captivating locale of Mozambique. The correlation coefficient of 0.9273144 suggests a strong positive relationship between these seemingly unrelated variables, leaving us scratching our heads and marveling at the mysterious dance of statistics.
The scatterplot depicted in Figure 1 visually encapsulates this surprising connection, with the data points aligning themselves in a manner that would make even the most astute statistical analyst do a double-take. As each point on the graph exudes a sense of enigmatic camaraderie with its neighboring gasoline pump and political vote, we couldn't help but chuckle at the whimsical nature of our findings. Who knew that political inclinations in Washington could resonate so harmoniously with Mozambican gasoline consumption?
The r-squared value of 0.8599119 further bolsters the legitimacy of this correlation, affirming that approximately 85.99% of the variation in gasoline pumped in Mozambique can be explained by the votes for the Libertarian candidate in Washington. One can't help but wonder if the citizens of Washington have been secretly whispering their political allegiances into the ears of Mozambican fuel pumps, urging them to spur forth with greater enthusiasm.
And let's not forget the infamous p-value – less than 0.01, shambling its way into the realm of statistical significance like a creature of statistical lore. With such a minuscule p-value, we can confidently assert that the correlation we've uncovered is not a result of random chance or a statistical fluke. No, this relationship is as real and tangible as the perplexing allure of a statistical anomaly waiting to be dissected and savored.
In conclusion, our findings stand as a testament to the capricious nature of statistical exploration, reminding us that sometimes the most confounding relationships lurk beneath the surface of our data. This correlation, with its blend of statistical significance and quirkiness, beckons us to delve deeper into the mysteries of human behavior and global dynamics, leaving us with a sly smile and a newfound appreciation for the delightful absurdity that is statistical research.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The results of our study have set the stage for a peculiar but fascinating discussion that intertwines the realms of political predilections and international fuel oscillations. The remarkable correlation between votes for the Libertarian presidential candidate in Washington and the volume of gasoline pumped in Mozambique both surprised and delighted our research team, leaving us to ponder the potential mechanisms behind this unexpected statistical waltz.
In tracing the footsteps of prior research, our findings align with the whimsical musings of Stern's "The Quest for Quirky Correlations" (2018), reaffirming the surreal nature of statistical oddities and the need to approach such phenomena with equal parts mirth and method. Furthermore, the enigmatic similarities drawn from Jones et al.’s (2015) revelations on international fuel consumption resonate with our own findings, underscoring the depth of the statistical rabbit hole in which we find ourselves. As the tangled web of statistical relationships expands, our results offer both a nod and a wink to the curious connections illuminated by the aforementioned literature.
The robust correlation coefficient of 0.9273144, coupled with a minuscule p-value indicative of statistical significance, lends credence to the tangible nature of the bond between seemingly disparate variables. It would appear that the preferences of Washingtonian voters hold a keen resonance with the pulsating rhythm of Mozambique's gasoline pumps, evoking the image of an unseen cosmic conductor orchestrating this improbable symphony of statistical camaraderie.
Moreover, the r-squared value of 0.8599119 serves as a testament to the substantial proportion of variation in Mozambican gasoline consumption explained by the votes for the Libertarian candidate in Washington. One cannot help but marvel at the thought of clandestine whispers of political allegiance traversing continents and oceans, compelling Mozambican fuel pumps to gyrate in unison with the cherished libertarian spirit.
While the temptation to revel in the absurdity of this correlation is undeniable, it is crucial to underline the importance of further research to uncover the underlying mechanisms that give rise to this statistical extravaganza. As we navigate the maze of statistical oddities, our findings beckon forth the need for continued inquiry and a touch of whimsical curiosity to unravel the intricate tapestry of interwoven variables.
In summary, the unforeseen rapport between the choices of Washington's electorate and the rhythmic throb of Mozambique's gasoline pumps stands as a testament to the arcane allure of statistical research. With a nod to the past and a chuckle for the present, our study paves the way for future explorations into the curious confluence of human behavior, political dynamics, and international fluctuation, leaving us with a sense of wonder at the delightful confounding nature of statistical exploration.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the discussion section of goofy academic research papers that sounds like it belongs based on the title and abstract provided.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up a short conclusion of an academic research paper presenting the findings of the connection between Votes for the Libertarian Presidential candidate in Washington and Gasoline pumped in Mozambique. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
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 Correlation Between Libertarians' Votes in Washington and Gasoline Siphoned in Mozambique: A Statistical Odyssey
[[ABSTRACT]]
This study delves into the unexpected correlation between votes for the Libertarian presidential candidate in the state of Washington and the volume of gasoline pumped in the alluring lands of Mozambique. Using data from MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, our research team uncovered a startling relationship, with a correlation coefficient of 0.9273144 and p < 0.01 from 1980 to 2020. Our findings suggest an intriguing connection between political preferences and international fuel consumption, defying conventional wisdom and leaving us pondering the mysterious forces at play. With statistical significance and a touch of absurdity, let the quest for understanding this unanticipated rapport continue to fuel laughter and contemplation among academia.
[[INTRDUCTION]]
INTRODUCTION
In the realm of statistical exploration, one never knows what surprising connections may be lurking beneath the layers of data. The curious and often whimsical nature of research has a way of leading us down unexpected, and occasionally downright bizarre, paths. In this statistical odyssey, we embark on a journey to unravel the tantalizing correlation between the votes garnered by the Libertarian presidential candidate in Washington and the flow of gasoline in the enchanting lands of Mozambique.
While political and economic analyses often find themselves at opposite ends of the research spectrum, this study unites them in an unprecedented dance. Our investigation has its roots firmly planted in the fertile soil of statistical inquiry, sprouting forth from the MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration. As we wade into the sea of numbers and variables, we find ourselves confronted with a correlation coefficient of 0.9273144 and a p-value less than 0.01, beckoning us closer to the phenomenon that defies the conventional boundaries of scholarly inquiry.
Embarking on this endeavor with a blend of skepticism and intellectual curiosity, we found ourselves unearthing a relationship that challenges the very fabric of societal expectations. The data, spanning the years from 1980 to 2020, has revealed a tantalizing liaison between the political leanings of the denizens of Washington and the gasoline consumption habits in the distant, sun-kissed corners of Mozambique. One may be inclined to ponder whether this correlation is a mere statistical fluke, an artifact of data collection, or perhaps a reflection of an inexplicable cosmic force at play, surreptitiously influencing these seemingly disparate variables.
As we dissect the seemingly absurd link between the political ballot and the gasoline pump, one cannot help but be reminded of the famous quote by physicist Niels Bohr, "It is wrong to think that the task of physics is to find out how nature is. Physics concerns what we can say about nature." Embracing the unexpected twists and turns of statistical inquiry, we delve into this uncharted territory armed with an arsenal of scientific rigor and a healthy dose of humor, for as we navigate through the peculiarities of this correlation, we do so with a twinkle in our eye and a quip on our lips. Indeed, amid the labyrinth of data points and regression analyses, let the quest for understanding this delightfully eccentric relationship continue to fuel scholarly discourse and contemplation, punctuated with humor as we journey through the uncharted statistical anomalies that capture our imagination.
[[RESULTS]]
Our statistical analysis revealed a remarkably robust correlation between the votes for the Libertarian presidential candidate in Washington and the amount of gasoline pumped in the captivating locale of Mozambique. The correlation coefficient of 0.9273144 suggests a strong positive relationship between these seemingly unrelated variables, leaving us scratching our heads and marveling at the mysterious dance of statistics.
The scatterplot depicted in Figure 1 visually encapsulates this surprising connection, with the data points aligning themselves in a manner that would make even the most astute statistical analyst do a double-take. As each point on the graph exudes a sense of enigmatic camaraderie with its neighboring gasoline pump and political vote, we couldn't help but chuckle at the whimsical nature of our findings. Who knew that political inclinations in Washington could resonate so harmoniously with Mozambican gasoline consumption?
The r-squared value of 0.8599119 further bolsters the legitimacy of this correlation, affirming that approximately 85.99% of the variation in gasoline pumped in Mozambique can be explained by the votes for the Libertarian candidate in Washington. One can't help but wonder if the citizens of Washington have been secretly whispering their political allegiances into the ears of Mozambican fuel pumps, urging them to spur forth with greater enthusiasm.
And let's not forget the infamous p-value – less than 0.01, shambling its way into the realm of statistical significance like a creature of statistical lore. With such a minuscule p-value, we can confidently assert that the correlation we've uncovered is not a result of random chance or a statistical fluke. No, this relationship is as real and tangible as the perplexing allure of a statistical anomaly waiting to be dissected and savored.
In conclusion, our findings stand as a testament to the capricious nature of statistical exploration, reminding us that sometimes the most confounding relationships lurk beneath the surface of our data. This correlation, with its blend of statistical significance and quirkiness, beckons us to delve deeper into the mysteries of human behavior and global dynamics, leaving us with a sly smile and a newfound appreciation for the delightful absurdity that is statistical research.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In closing, our foray into the peculiar world of statistical exploration has uncovered a correlation that not even the most imaginative mind could have conjured. The bond between votes for the Libertarian presidential candidate in Washington and the gasoline siphoned in the alluring lands of Mozambique stands as a testament to the whimsical nature of research. As we reflect upon the comical commingling of political leanings and fuel flow, one cannot help but marvel at the capricious dance of statistics, leading us down enigmatic paths and leaving us with more questions than answers.
The statistical significance we've unearthed, with a correlation coefficient of 0.9273144 and a p-value less than 0.01, plays the role of the mischievous prankster amid the often solemn world of academia. Our findings, coupled with the resounding r-squared value of 0.8599119, serve as a reminder that in the realm of statistical inquiry, the unexpected is always around the corner, ready to pounce with statistical significance and a touch of absurdity.
As we bid adieu to this statistical escapade, it is with great reluctance that we acknowledge that no more research is needed in this area. The enigmatic liaison between political proclivities and fuel fervor has been laid bare, leaving us with a newfound appreciation for the delightful absurdity that is statistical research. With a wink to the statistical anomalies that continue to captivate our imagination, let us embrace the sheer quirkiness of our findings and tread forth into the unpredictable wilderness of research, armed with a healthy dose of humor and an insatiable curiosity for the uncharted statistical anomalies that beguile us.
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 Correlation Between Libertarians' Votes in Washington and Gasoline Siphoned in Mozambique: A Statistical Odyssey. Respond only with the name of a fictional academic journal.
ChatGPT:
Journal of Quirky Quantitative Research
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 Correlation Between Libertarians' Votes in Washington and Gasoline Siphoned in Mozambique: A Statistical Odyssey. Respond only with the name of a fictional organization.
ChatGPT:
Society for International Macro-Data Analysis and Anomalies
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 Correlation Between Libertarians' Votes in Washington and Gasoline Siphoned in Mozambique: A Statistical Odyssey with an abstract of This study delves into the unexpected correlation between votes for the Libertarian presidential candidate in the state of Washington and the volume of gasoline pumped in the alluring lands of Mozambique. Using data from MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, our research team uncovered a startling relationship, with a correlation coefficient of 0.9273144 and p < 0.01 from 1980 to 2020. Our findings suggest an intriguing connection between political preferences and international fuel consumption, defying conventional wisdom and leaving us pondering the mysterious forces at play. With statistical significance and a touch of absurdity, let the quest for understanding this unanticipated rapport continue to fuel laughter and contemplation among academia.
ChatGPT:
"Libertarian votes Washington," "gasoline consumption Mozambique," "MIT Election Data and Science Lab," "Harvard Dataverse," "Energy Information Administration," "correlation between political preferences and fuel consumption," "statistical significance international fuel consumption," "Libertarian presidential candidate voting patterns," "relationship between voting behavior and gasoline consumption," "unanticipated correlations in political preferences," "absurd correlations in social science research."
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
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Data details
Votes for the Libertarian Presidential candidate in WashingtonDetailed data title: Percentage of all votes cast for the Libertarian Presidential candidate in Washington
Source: MIT Election Data and Science Lab, Harvard Dataverse
See what else correlates with Votes for the Libertarian Presidential candidate in Washington
Gasoline pumped in Mozambique
Detailed data title: Volume of gasoline pumped consumed in Mozambique in millions of barrels per day
Source: Energy Information Administration
See what else correlates with Gasoline pumped in Mozambique
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 = 0.8599119 (Coefficient of determination)
This means 86% of the change in the one variable (i.e., Gasoline pumped in Mozambique) is predictable based on the change in the other (i.e., Votes for the Libertarian Presidential candidate in Washington) over the 11 years from 1980 through 2020.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 4.0E-5. 0.0000396379231025579000000000
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 0.93 in 0.004% of random cases. Said differently, if you correlated 25,228 random variables You don't actually need 25 thousand variables to find a correlation like this one. 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.
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 10 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 10 because we have two variables measured over a period of 11 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.
[ 0.74, 0.98 ] 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.
| 1980 | 1984 | 1988 | 1992 | 1996 | 2000 | 2004 | 2008 | 2012 | 2016 | 2020 | |
| Votes for the Libertarian Presidential candidate in Washington (Percentage of votes) | 1.6766 | 0.471703 | 0.924271 | 0.329302 | 0.555586 | 0.528054 | 0.418141 | 0.419115 | 1.35024 | 4.85011 | 1.96936 |
| Gasoline pumped in Mozambique (Million Barrels/Day) | 1.55579 | 1.43611 | 0.8 | 0.9 | 0.9 | 1.23522 | 1.5615 | 2.28399 | 4.12516 | 11 | 6.52019 |
Why this works
- Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
- Lack of causal connection: There is probably
Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied. - Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple
Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is.
Try it yourself
You can calculate the values on this page on your own! Try running the Python code to see the calculation results. Step 1: Download and install Python on your computer.Step 2: Open a plaintext editor like Notepad and paste the code below into it.
Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"
Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.
Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.
Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.
Step 7: Run the Python script by typing "python calculate_correlation.py"
If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:
"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."
# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats
# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):
# Calculate Pearson correlation coefficient and p-value
correlation, p_value = stats.pearsonr(array1, array2)
# Calculate R-squared as the square of the correlation coefficient
r_squared = correlation**2
return correlation, r_squared, p_value
# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([1.6766,0.471703,0.924271,0.329302,0.555586,0.528054,0.418141,0.419115,1.35024,4.85011,1.96936,])
array_2 = np.array([1.55579,1.43611,0.8,0.9,0.9,1.23522,1.5615,2.28399,4.12516,11,6.52019,])
array_1_name = "Votes for the Libertarian Presidential candidate in Washington"
array_2_name = "Gasoline pumped in Mozambique"
# 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."
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Download images for these variables:
- High resolution line chart
The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.
If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.
Alternatively you can use a tool like Inkscape. - High resolution line chart, optimized for mobile
- Alternative high resolution line chart
- Scatterplot
- Portable line chart (png)
- Portable line chart (png), optimized for mobile
- Line chart for only Votes for the Libertarian Presidential candidate in Washington
- Line chart for only Gasoline pumped in Mozambique
- AI-generated correlation image
- The spurious research paper: The Correlation Between Libertarians' Votes in Washington and Gasoline Siphoned in Mozambique: A Statistical Odyssey
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Correlation ID: 4439 · Black Variable ID: 26185 · Red Variable ID: 24718
