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AI explanation
It turns out that with every "Watt" of support gained, there was a shocking surge in energy across the globe. It's like their political power sparked a chain reaction, leading to a truly electrifying outcome. Who would have thought that the key to boosting power production in Bosnia and Herzegovina lay in the American electoral currents? It's a realpolitik twist that no one saw coming, and it goes to show that in the game of global energy, every vote really does count!
Model: dalle-3
Prompt: Create an image of a bustling voting station in West Virginia, where people are casting their votes for the Republican Presidential candidate. Capture the fervent energy and excitement as the votes surge. Meanwhile, visualize a shockwave of electricity generation spreading across the landscape of Bosnia and Herzegovina, illustrating the unexpected link between political power and energy production. The image should showcase the electrifying outcome and demonstrate the impactful connection between individual votes and global energy dynamics. 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 Republican Presidential candidate in West Virginia and Electricity generation in Bosnia and Herzegovina. 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: Realistic Charcoal Cute cartoon Sci-fi fantacy Pop art
ChatGPT: Realistic
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 Republican Presidential candidate in West Virginia and Electricity generation in Bosnia and Herzegovina, in the following situation: It turns out that with every "Watt" of support gained, there was a shocking surge in energy across the globe. It's like their political power sparked a chain reaction, leading to a truly electrifying outcome. Who would have thought that the key to boosting power production in Bosnia and Herzegovina lay in the American electoral currents? It's a realpolitik twist that no one saw coming, and it goes to show that in the game of global energy, every vote really does count!. Keep the description simple.
ChatGPT: In West Virginia, people cast their votes for the Republican Presidential candidate, creating a surge in political energy. As the votes increased, a shockwave of electricity generation spread across Bosnia and Herzegovina. The unexpected link between political power and energy production led to an electrifying outcome, showcasing the impact of each vote in the global game of energy.
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: [ Realistic ] and depicting this scene: In West Virginia, people cast their votes for the Republican Presidential candidate, creating a surge in political energy. As the votes increased, a shockwave of electricity generation spread across Bosnia and Herzegovina. The unexpected link between political power and energy production led to an electrifying outcome, showcasing the impact of each vote in the global game of energy. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Create an image of a bustling voting station in West Virginia, where people are casting their votes for the Republican Presidential candidate. Capture the fervent energy and excitement as the votes surge. Meanwhile, visualize a shockwave of electricity generation spreading across the landscape of Bosnia and Herzegovina, illustrating the unexpected link between political power and energy production. The image should showcase the electrifying outcome and demonstrate the impactful connection between individual votes and global energy dynamics.
*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 Republican Presidential candidate in West Virginia caused Electricity generation in Bosnia and Herzegovina to increase. Include one good pun.
AI academic paper
 |
Wacky West Virginia Votes and Bosnian Electricity: A Bizarre Back-and-Forth Journal of Quirky Regional Politics Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a 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 Republican Presidential candidate in West Virginia and Electricity generation in Bosnia and Herzegovina. Make lots of jokes, goofy observations, and puns.
Make the title an alliteration.
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 0.9685574 and p < 0.01 for 1992 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]]
Wacky West Virginia Votes and Bosnian Electricity: A Bizarre Back-and-Forth
[[ABSTRACT]]
This peculiar paper plumbs the preposterous connection between votes for the Republican presidential candidate in West Virginia and electricity generation in Bosnia and Herzegovina. Armed with data from MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, our research team delved into this confounding correlation from 1992 to 2020. With a correlation coefficient of 0.9685574 and p < 0.01, our findings stand as a testament to the mind-boggling nature of statistical coincidences. Join us on this whimsical journey through the seemingly unrelated realms of votes and volts!
Model: gpt-3.5-turbo-1106
System prompt: You are a 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 Republican Presidential candidate in West Virginia and Electricity generation in Bosnia and Herzegovina. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Here is the title and abstract of the paper:
[[TITLE]]
Wacky West Virginia Votes and Bosnian Electricity: A Bizarre Back-and-Forth
[[ABSTRACT]]
This peculiar paper plumbs the preposterous connection between votes for the Republican presidential candidate in West Virginia and electricity generation in Bosnia and Herzegovina. Armed with data from MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, our research team delved into this confounding correlation from 1992 to 2020. With a correlation coefficient of 0.9685574 and p < 0.01, our findings stand as a testament to the mind-boggling nature of statistical coincidences. Join us on this whimsical journey through the seemingly unrelated realms of votes and volts!
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
In the sometimes mind-boggling world of academia, there are research topics that make perfect sense, such as studying the effects of climate change on agricultural yields, and then there are those that make you scratch your head in wonder, like investigating the connection between voting patterns in West Virginia and electricity generation in Bosnia and Herzegovina. Yes, you read that right. This study is not an attempt at a light-hearted joke but rather a serious exploration of an unexpected correlation that left our team of researchers equally bemused and intrigued.
Picture this: a voter in West Virginia decides between candidates, perhaps pondering democratic principles or the state of the economy, while across the ocean in Bosnia and Herzegovina, someone is flipping a switch to power up the lights. The apparent lack of connection between these two seemingly unrelated activities is what makes this investigation both confounding and undeniably amusing.
As researchers, we are accustomed to uncovering meaningful associations and drawing well-founded conclusions. However, every so often, a data set comes along that throws us a curveball, and we find ourselves delving into the realm of statistical anomalies and quirky connections. Such is the case with the correlation we stumbled upon between wacky West Virginia votes and Bosnian electricity generation.
On a more serious note, the purpose of this study is not just to entertain with whimsical anecdotes about odd correlations but to delve into the statistically significant relationship between these seemingly unconnected phenomena. Through rigorous data analysis and examination of electoral and energy statistics from the past few decades, we teased out a rather surprising correlation coefficient of 0.9685574, with a p-value indicating a high level of significance. In simpler terms, the numbers have spoken, and they seem to insist that there is indeed a perplexing relationship between votes cast in West Virginia and the generation of electricity in Bosnia and Herzegovina.
Join us as we embark on this unexpected and somewhat comical journey through the world of data analysis and statistical anomalies. While the topic may appear whimsical at first glance, the implications of our findings and the methodological approach we have adopted are as rigorous and serious as in any other academic investigation. So, buckle up, and let's explore the bizarro world of West Virginian votes and Bosnian electricity generation!
Model: gpt-3.5-turbo-1106
System prompt: You are a 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 Republican Presidential candidate in West Virginia and Electricity generation in Bosnia and Herzegovina. 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 devolve ever further, and mention something completely ridiculous, like you conducted literature review by reading CVS receipts.
Here is the title and abstract of the paper:
[[TITLE]]
Wacky West Virginia Votes and Bosnian Electricity: A Bizarre Back-and-Forth
[[ABSTRACT]]
This peculiar paper plumbs the preposterous connection between votes for the Republican presidential candidate in West Virginia and electricity generation in Bosnia and Herzegovina. Armed with data from MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, our research team delved into this confounding correlation from 1992 to 2020. With a correlation coefficient of 0.9685574 and p < 0.01, our findings stand as a testament to the mind-boggling nature of statistical coincidences. Join us on this whimsical journey through the seemingly unrelated realms of votes and volts!
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
In the sometimes mind-boggling world of academia, there are research topics that make perfect sense, such as studying the effects of climate change on agricultural yields, and then there are those that make you scratch your head in wonder, like investigating the connection between voting patterns in West Virginia and electricity generation in Bosnia and Herzegovina. Yes, you read that right. This study is not an attempt at a light-hearted joke but rather a serious exploration of an unexpected correlation that left our team of researchers equally bemused and intrigued.
Picture this: a voter in West Virginia decides between candidates, perhaps pondering democratic principles or the state of the economy, while across the ocean in Bosnia and Herzegovina, someone is flipping a switch to power up the lights. The apparent lack of connection between these two seemingly unrelated activities is what makes this investigation both confounding and undeniably amusing.
As researchers, we are accustomed to uncovering meaningful associations and drawing well-founded conclusions. However, every so often, a data set comes along that throws us a curveball, and we find ourselves delving into the realm of statistical anomalies and quirky connections. Such is the case with the correlation we stumbled upon between wacky West Virginia votes and Bosnian electricity generation.
On a more serious note, the purpose of this study is not just to entertain with whimsical anecdotes about odd correlations but to delve into the statistically significant relationship between these seemingly unconnected phenomena. Through rigorous data analysis and examination of electoral and energy statistics from the past few decades, we teased out a rather surprising correlation coefficient of 0.9685574, with a p-value indicating a high level of significance. In simpler terms, the numbers have spoken, and they seem to insist that there is indeed a perplexing relationship between votes cast in West Virginia and the generation of electricity in Bosnia and Herzegovina.
Join us as we embark on this unexpected and somewhat comical journey through the world of data analysis and statistical anomalies. While the topic may appear whimsical at first glance, the implications of our findings and the methodological approach we have adopted are as rigorous and serious as in any other academic investigation. So, buckle up, and let's explore the bizarro world of West Virginian votes and Bosnian electricity generation!
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
In "Smith et al.," the authors find that votes for the Republican presidential candidate in West Virginia exhibit a curious pattern of fluctuation over time. Furthermore, in "Doe and Jones," the authors explore the intricate dynamics of electricity generation in Bosnia and Herzegovina, revealing the complex interplay between renewable and non-renewable sources.
On a more tangential note, Gavin the Electrician, in "The Light Switch Chronicles," examines the deep existential questions that might plague Bosnian light switches as they power the nation. Each flick of the switch could very well reflect the hopes and dreams of a nation or simply stem from a case of faulty wiring. After all, current affairs aren't just about politics but also, quite literally, about electric currents.
Turning to the world of fiction, "The Shocking Truth" by Watt E. Watts delves into the enigmatic world of electrical conspiracy theories, where every jolt of power hides a scandalous secret waiting to be uncovered. Could it be that the electricity generation in Bosnia and Herzegovina holds the key to unlocking the cryptic mysteries of West Virginian voting patterns? Unlikely, but why not entertain the idea for a spark of literary amusement?
Now, as we venture into the more unconventional side of our literature review, we'd be remiss not to mention the insightful revelations from perusing random grocery store receipts. While analyzing stacks of CVS and Walmart receipts may seem unconventional, you'd be surprised just how much one can glean from the purchasing habits of the average snack-hungry consumer. Who's to say that a correlation between snack choices and political inclinations doesn't lie hidden within those crumpled pieces of thermal paper? Alas, our own snack cravings may have occasionally distracted us from the task at hand, but never fear, the correlations were solely snack-based, and no conclusions were drawn from our impromptu "receipt analysis."
In conclusion, the interplay between West Virginian votes for the Republican presidential candidate and electricity generation in Bosnia and Herzegovina is undoubtedly a peculiar topic, ripe for both serious exploration and whimsical contemplation. As we proceed to analyze the scholarly and, ahem, less scholarly sources, we aim to unravel the enigma behind this unlikely relationship and shed some light on the electrifying connection between votes and volts.
Model: gpt-3.5-turbo-1106
System prompt: You are a 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 Republican Presidential candidate in West Virginia and Electricity generation in Bosnia and Herzegovina. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Your research team collected data from all across the internet, but mostly just used information from MIT Election Data and Science Lab, Harvard Dataverse and Energy Information Administration . You used data from 1992 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]]
Wacky West Virginia Votes and Bosnian Electricity: A Bizarre Back-and-Forth
[[ABSTRACT]]
This peculiar paper plumbs the preposterous connection between votes for the Republican presidential candidate in West Virginia and electricity generation in Bosnia and Herzegovina. Armed with data from MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, our research team delved into this confounding correlation from 1992 to 2020. With a correlation coefficient of 0.9685574 and p < 0.01, our findings stand as a testament to the mind-boggling nature of statistical coincidences. Join us on this whimsical journey through the seemingly unrelated realms of votes and volts!
[[INTRODUCTION]]
In the sometimes mind-boggling world of academia, there are research topics that make perfect sense, such as studying the effects of climate change on agricultural yields, and then there are those that make you scratch your head in wonder, like investigating the connection between voting patterns in West Virginia and electricity generation in Bosnia and Herzegovina. Yes, you read that right. This study is not an attempt at a light-hearted joke but rather a serious exploration of an unexpected correlation that left our team of researchers equally bemused and intrigued.
Picture this: a voter in West Virginia decides between candidates, perhaps pondering democratic principles or the state of the economy, while across the ocean in Bosnia and Herzegovina, someone is flipping a switch to power up the lights. The apparent lack of connection between these two seemingly unrelated activities is what makes this investigation both confounding and undeniably amusing.
As researchers, we are accustomed to uncovering meaningful associations and drawing well-founded conclusions. However, every so often, a data set comes along that throws us a curveball, and we find ourselves delving into the realm of statistical anomalies and quirky connections. Such is the case with the correlation we stumbled upon between wacky West Virginia votes and Bosnian electricity generation.
On a more serious note, the purpose of this study is not just to entertain with whimsical anecdotes about odd correlations but to delve into the statistically significant relationship between these seemingly unconnected phenomena. Through rigorous data analysis and examination of electoral and energy statistics from the past few decades, we teased out a rather surprising correlation coefficient of 0.9685574, with a p-value indicating a high level of significance. In simpler terms, the numbers have spoken, and they seem to insist that there is indeed a perplexing relationship between votes cast in West Virginia and the generation of electricity in Bosnia and Herzegovina.
Join us as we embark on this unexpected and somewhat comical journey through the world of data analysis and statistical anomalies. While the topic may appear whimsical at first glance, the implications of our findings and the methodological approach we have adopted are as rigorous and serious as in any other academic investigation. So, buckle up, and let's explore the bizarro world of West Virginian votes and Bosnian electricity generation!
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To unravel the enigmatic enigma of the correlation between West Virginia votes and Bosnian electricity generation, our research team deployed a kaleidoscope of data collection and analysis methods. Firstly, a cohort of highly trained data acrobats scoured the depths of the internet, sifting through a veritable treasure trove of information from the esteemed MIT Election Data and Science Lab, the illustrious Harvard Dataverse, and the venerable Energy Information Administration.
Once armed with this eclectic array of data, we embarked on a daring escapade into the labyrinthine world of statistical analysis. Our intrepid journey began with the extraction of historical voting trends in West Virginia. The methodology for this task involved careful examination of presidential election records, cross-referencing state and county-level voting patterns, and employing advanced statistical techniques to ensure the accuracy and reliability of the data. Think of it as a relentless quest for electoral truth, with a dash of adventure and a sprinkle of statistical wizardry.
Simultaneously, on the far side of the globe, our research team delved into the electrifying realm of Bosnian electricity generation. Armed with energy production statistics, consumption patterns, and a touch of electricity puns, we meticulously cataloged the generation capacity, transmission infrastructure, and energy sources to paint a vibrant picture of the power sector. The process involved harnessing a web of data sources, including national energy databases, industry reports, and insights from local experts who lit up the path to understanding the Bosnian electrical landscape.
With our treasure trove of data in hand, we donned our metaphorical lab coats and embarked on the riveting journey of statistical analysis. Armed with the trusty tools of correlation coefficients, regression analyses, and hypothesis testing, we navigated the treacherous terrain of quantitative inquiry. We meticulously dissected the data, employing techniques that squinted sideways at numbers and made our spreadsheet software shudder in bewilderment.
In those moments of statistical revelation, as the correlation coefficient revealed itself with a flourish, we couldn't help but marvel at the unlikely dance of data points across continents. The zigs and zags of the graphs led us on a whirlwind adventure through the realms of political dynamics and energy dynamics, bewildering us with their synchrony.
So, there you have it, a curious concoction of data collection, statistical acrobatics, and a touch of academic whimsy. Our methodology may have been off the beaten path, but it has brought us to the doorstep of an intriguing revelation. Now, dear reader, let's leap into the results section and uncover the mystifying correlation between West Virginian votes and Bosnian electricity generation!
Model: gpt-3.5-turbo-1106
System prompt: You are a 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 Republican Presidential candidate in West Virginia and Electricity generation in Bosnia and Herzegovina. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Your research team collected data from all across the internet, but mostly just used information from MIT Election Data and Science Lab, Harvard Dataverse and Energy Information Administration .
For the time period 1992 to 2020, you found a correlation 0.9685574, r-squared of 0.9381035, 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]]
Wacky West Virginia Votes and Bosnian Electricity: A Bizarre Back-and-Forth
[[ABSTRACT]]
This peculiar paper plumbs the preposterous connection between votes for the Republican presidential candidate in West Virginia and electricity generation in Bosnia and Herzegovina. Armed with data from MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, our research team delved into this confounding correlation from 1992 to 2020. With a correlation coefficient of 0.9685574 and p < 0.01, our findings stand as a testament to the mind-boggling nature of statistical coincidences. Join us on this whimsical journey through the seemingly unrelated realms of votes and volts!
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
In the sometimes mind-boggling world of academia, there are research topics that make perfect sense, such as studying the effects of climate change on agricultural yields, and then there are those that make you scratch your head in wonder, like investigating the connection between voting patterns in West Virginia and electricity generation in Bosnia and Herzegovina. Yes, you read that right. This study is not an attempt at a light-hearted joke but rather a serious exploration of an unexpected correlation that left our team of researchers equally bemused and intrigued.
Picture this: a voter in West Virginia decides between candidates, perhaps pondering democratic principles or the state of the economy, while across the ocean in Bosnia and Herzegovina, someone is flipping a switch to power up the lights. The apparent lack of connection between these two seemingly unrelated activities is what makes this investigation both confounding and undeniably amusing.
As researchers, we are accustomed to uncovering meaningful associations and drawing well-founded conclusions. However, every so often, a data set comes along that throws us a curveball, and we find ourselves delving into the realm of statistical anomalies and quirky connections. Such is the case with the correlation we stumbled upon between wacky West Virginia votes and Bosnian electricity generation.
On a more serious note, the purpose of this study is not just to entertain with whimsical anecdotes about odd correlations but to delve into the statistically significant relationship between these seemingly unconnected phenomena. Through rigorous data analysis and examination of electoral and energy statistics from the past few decades, we teased out a rather surprising correlation coefficient of 0.9685574, with a p-value indicating a high level of significance. In simpler terms, the numbers have spoken, and they seem to insist that there is indeed a perplexing relationship between votes cast in West Virginia and the generation of electricity in Bosnia and Herzegovina.
Join us as we embark on this unexpected and somewhat comical journey through the world of data analysis and statistical anomalies. While the topic may appear whimsical at first glance, the implications of our findings and the methodological approach we have adopted are as rigorous and serious as in any other academic investigation. So, buckle up, and let's explore the bizarro world of West Virginian votes and Bosnian electricity generation!
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
Our analysis revealed a striking correlation between votes for the Republican presidential candidate in West Virginia and electricity generation in Bosnia and Herzegovina from 1992 to 2020. The correlation coefficient of 0.9685574 suggests a remarkably strong relationship between these seemingly disparate factors. Even in the wild world of statistical anomalies, this finding stands out as a particularly peculiar one.
The high r-squared value of 0.9381035 further underscores the robustness of this correlation, indicating that a substantial portion of the variance in electricity generation in Bosnia and Herzegovina can be explained by the votes cast in West Virginia. It's as if each vote carries a jolt of energy that travels all the way across the globe to power the generators in Bosnia and Herzegovina!
As for the p-value, well, it is so small that it deserves its own spotlight. With p < 0.01, our findings are not just statistically significant; they are practically shouting for attention. This level of significance leaves little room for doubt – the relationship between these two variables is no fluke. Perhaps it's time to consider adding "predicting electricity generation based on West Virginian voting patterns" to the list of election analyst skills.
In summary, our research has unearthed a curious connection between the political choices of residents in West Virginia and the generation of electricity in Bosnia and Herzegovina. The implications of this correlation are as baffling as they are intriguing, and they stand as a reminder that the world of data analysis is indeed filled with surprises. We invite readers to ponder the implications of this bizarre correlation and to question what other unexpected connections might be hiding in the vast expanse of data. After all, as our findings illustrate, sometimes the most unlikely pairings can spark electrifying revelations.
Model: gpt-3.5-turbo-1106
System prompt: You are a 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 Republican Presidential candidate in West Virginia and Electricity generation in Bosnia and Herzegovina. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Limit your response to 500 tokens.
Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.
Do not write a conclusion. I will add a conclusion after this.
[[TITLE]]
Wacky West Virginia Votes and Bosnian Electricity: A Bizarre Back-and-Forth
[[ABSTRACT]]
This peculiar paper plumbs the preposterous connection between votes for the Republican presidential candidate in West Virginia and electricity generation in Bosnia and Herzegovina. Armed with data from MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, our research team delved into this confounding correlation from 1992 to 2020. With a correlation coefficient of 0.9685574 and p < 0.01, our findings stand as a testament to the mind-boggling nature of statistical coincidences. Join us on this whimsical journey through the seemingly unrelated realms of votes and volts!
[[LITERATURE REVIEW]]
In "Smith et al.," the authors find that votes for the Republican presidential candidate in West Virginia exhibit a curious pattern of fluctuation over time. Furthermore, in "Doe and Jones," the authors explore the intricate dynamics of electricity generation in Bosnia and Herzegovina, revealing the complex interplay between renewable and non-renewable sources.
On a more tangential note, Gavin the Electrician, in "The Light Switch Chronicles," examines the deep existential questions that might plague Bosnian light switches as they power the nation. Each flick of the switch could very well reflect the hopes and dreams of a nation or simply stem from a case of faulty wiring. After all, current affairs aren't just about politics but also, quite literally, about electric currents.
Turning to the world of fiction, "The Shocking Truth" by Watt E. Watts delves into the enigmatic world of electrical conspiracy theories, where every jolt of power hides a scandalous secret waiting to be uncovered. Could it be that the electricity generation in Bosnia and Herzegovina holds the key to unlocking the cryptic mysteries of West Virginian voting patterns? Unlikely, but why not entertain the idea for a spark of literary amusement?
Now, as we venture into the more unconventional side of our literature review, we'd be remiss not to mention the insightful revelations from perusing random grocery store receipts. While analyzing stacks of CVS and Walmart receipts may seem unconventional, you'd be surprised just how much one can glean from the purchasing habits of the average snack-hungry consumer. Who's to say that a correlation between snack choices and political inclinations doesn't lie hidden within those crumpled pieces of thermal paper? Alas, our own snack cravings may have occasionally distracted us from the task at hand, but never fear, the correlations were solely snack-based, and no conclusions were drawn from our impromptu "receipt analysis."
In conclusion, the interplay between West Virginian votes for the Republican presidential candidate and electricity generation in Bosnia and Herzegovina is undoubtedly a peculiar topic, ripe for both serious exploration and whimsical contemplation. As we proceed to analyze the scholarly and, ahem, less scholarly sources, we aim to unravel the enigma behind this unlikely relationship and shed some light on the electrifying connection between votes and volts.
[[RESULTS]]
Our analysis revealed a striking correlation between votes for the Republican presidential candidate in West Virginia and electricity generation in Bosnia and Herzegovina from 1992 to 2020. The correlation coefficient of 0.9685574 suggests a remarkably strong relationship between these seemingly disparate factors. Even in the wild world of statistical anomalies, this finding stands out as a particularly peculiar one.
The high r-squared value of 0.9381035 further underscores the robustness of this correlation, indicating that a substantial portion of the variance in electricity generation in Bosnia and Herzegovina can be explained by the votes cast in West Virginia. It's as if each vote carries a jolt of energy that travels all the way across the globe to power the generators in Bosnia and Herzegovina!
As for the p-value, well, it is so small that it deserves its own spotlight. With p < 0.01, our findings are not just statistically significant; they are practically shouting for attention. This level of significance leaves little room for doubt – the relationship between these two variables is no fluke. Perhaps it's time to consider adding "predicting electricity generation based on West Virginian voting patterns" to the list of election analyst skills.
In summary, our research has unearthed a curious connection between the political choices of residents in West Virginia and the generation of electricity in Bosnia and Herzegovina. The implications of this correlation are as baffling as they are intriguing, and they stand as a reminder that the world of data analysis is indeed filled with surprises. We invite readers to ponder the implications of this bizarre correlation and to question what other unexpected connections might be hiding in the vast expanse of data. After all, as our findings illustrate, sometimes the most unlikely pairings can spark electrifying revelations.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
Our findings provide compelling support for the previously established research on the unlikely relationship between votes for the Republican presidential candidate in West Virginia and electricity generation in Bosnia and Herzegovina. The robust correlation coefficient of 0.9685574 echoes the peculiar patterns identified by Smith et al., which hinted at the enigmatic fluctuations in West Virginian voting behavior. This correlation is as electrifying as a lightning storm in July – if lightning storms coincidentally happened every four years during presidential elections.
Similarly, our results align with the intricate dynamics of electricity generation in Bosnia and Herzegovina, as explored by Doe and Jones. It appears that the whims of West Virginian voters may indeed hold sway over the energy landscape in a corner of the world far removed from the Appalachian Mountains. Who would have thought that the power to illuminate Bosnian cities and towns could be influenced by the political preferences of Mountaineers? Alas, the unseen webs of influence in the world never fail to amaze.
The literature review also hinted at the fictional and unorthodox sources of insight, invoking the spirit of Watt E. Watts and Gavin the Electrician. While perhaps not taken seriously by the typical scholarly discourse, their narratives seem mysteriously prophetic in light of our empirical findings. Perhaps there is more truth in those zany tales than meets the eye – or in this case, the voltage meter.
As for the grocery store receipts and their potential implications on our study, we cannot discount the possibility that the snack choices of West Virginians may bear some relation to their political inclinations. After all, correlations are where you least expect them. Our own occasional distractions with crumpled pieces of thermal paper, while admittedly not relevant to our study, have only reinforced our commitment to uncovering unexpected connections in the web of data.
In sum, our research provides clear evidence of the captivating correlation between West Virginian votes and Bosnian electricity, challenging preconceived notions of logical connections. The true power of this connection, both statistically and conceptually, has been illuminated by our findings, leaving us eager to unravel more of the mysteries that undoubtedly lurk in the ever-expansive world of data analysis. After all, as scholars and humorists alike have mused, there's an electrifying thrill in discovering the unexpected – and it just might spark a revolution in how we perceive the interplay of seemingly unrelated phenomena.
Model: gpt-3.5-turbo-1106
System prompt: You are a 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 Republican Presidential candidate in West Virginia and Electricity generation in Bosnia and Herzegovina. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.
Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Wacky West Virginia Votes and Bosnian Electricity: A Bizarre Back-and-Forth
[[ABSTRACT]]
This peculiar paper plumbs the preposterous connection between votes for the Republican presidential candidate in West Virginia and electricity generation in Bosnia and Herzegovina. Armed with data from MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, our research team delved into this confounding correlation from 1992 to 2020. With a correlation coefficient of 0.9685574 and p < 0.01, our findings stand as a testament to the mind-boggling nature of statistical coincidences. Join us on this whimsical journey through the seemingly unrelated realms of votes and volts!
[[INTRDUCTION]]
In the sometimes mind-boggling world of academia, there are research topics that make perfect sense, such as studying the effects of climate change on agricultural yields, and then there are those that make you scratch your head in wonder, like investigating the connection between voting patterns in West Virginia and electricity generation in Bosnia and Herzegovina. Yes, you read that right. This study is not an attempt at a light-hearted joke but rather a serious exploration of an unexpected correlation that left our team of researchers equally bemused and intrigued.
Picture this: a voter in West Virginia decides between candidates, perhaps pondering democratic principles or the state of the economy, while across the ocean in Bosnia and Herzegovina, someone is flipping a switch to power up the lights. The apparent lack of connection between these two seemingly unrelated activities is what makes this investigation both confounding and undeniably amusing.
As researchers, we are accustomed to uncovering meaningful associations and drawing well-founded conclusions. However, every so often, a data set comes along that throws us a curveball, and we find ourselves delving into the realm of statistical anomalies and quirky connections. Such is the case with the correlation we stumbled upon between wacky West Virginia votes and Bosnian electricity generation.
On a more serious note, the purpose of this study is not just to entertain with whimsical anecdotes about odd correlations but to delve into the statistically significant relationship between these seemingly unconnected phenomena. Through rigorous data analysis and examination of electoral and energy statistics from the past few decades, we teased out a rather surprising correlation coefficient of 0.9685574, with a p-value indicating a high level of significance. In simpler terms, the numbers have spoken, and they seem to insist that there is indeed a perplexing relationship between votes cast in West Virginia and the generation of electricity in Bosnia and Herzegovina.
Join us as we embark on this unexpected and somewhat comical journey through the world of data analysis and statistical anomalies. While the topic may appear whimsical at first glance, the implications of our findings and the methodological approach we have adopted are as rigorous and serious as in any other academic investigation. So, buckle up, and let's explore the bizarro world of West Virginian votes and Bosnian electricity generation!
[[RESULTS]]
Our analysis revealed a striking correlation between votes for the Republican presidential candidate in West Virginia and electricity generation in Bosnia and Herzegovina from 1992 to 2020. The correlation coefficient of 0.9685574 suggests a remarkably strong relationship between these seemingly disparate factors. Even in the wild world of statistical anomalies, this finding stands out as a particularly peculiar one.
The high r-squared value of 0.9381035 further underscores the robustness of this correlation, indicating that a substantial portion of the variance in electricity generation in Bosnia and Herzegovina can be explained by the votes cast in West Virginia. It's as if each vote carries a jolt of energy that travels all the way across the globe to power the generators in Bosnia and Herzegovina!
As for the p-value, well, it is so small that it deserves its own spotlight. With p < 0.01, our findings are not just statistically significant; they are practically shouting for attention. This level of significance leaves little room for doubt – the relationship between these two variables is no fluke. Perhaps it's time to consider adding "predicting electricity generation based on West Virginian voting patterns" to the list of election analyst skills.
In summary, our research has unearthed a curious connection between the political choices of residents in West Virginia and the generation of electricity in Bosnia and Herzegovina. The implications of this correlation are as baffling as they are intriguing, and they stand as a reminder that the world of data analysis is indeed filled with surprises. We invite readers to ponder the implications of this bizarre correlation and to question what other unexpected connections might be hiding in the vast expanse of data. After all, as our findings illustrate, sometimes the most unlikely pairings can spark electrifying revelations.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, our study has shed light on the shockingly strong correlation between votes for the Republican presidential candidate in West Virginia and electricity generation in Bosnia and Herzegovina. While initially baffling, our findings paint a picture of an electrifying relationship that defies conventional wisdom. The high correlation coefficient and r-squared value suggest that the votes cast in West Virginia truly pack a powerful punch when it comes to influencing the generation of electricity in a far-off land. One might even say that these votes have the potential to spark a global energy revolution!
The significance of our results cannot be overstated, and the implications of this correlation extend beyond the realms of conventional understanding. While it may seem like a whimsical oddity, the statistical significance of our findings demands serious consideration. It is as if the very act of casting a vote in West Virginia sends a surge of energy across the globe, directly impacting the generation of electricity in Bosnia and Herzegovina. It's a peculiar connection, to say the least, but one that we cannot afford to overlook.
However, as much as we've enjoyed delving into this electrically charged journey of statistical anomalies and unexpected correlations, it's time to pull the plug on any further research in this area. Our findings stand as a testament to the capricious nature of data analysis, and any further exploration might just send us down a rabbit hole of even more preposterous pairings. Sometimes, it's best to leave well enough alone and simply marvel at the improbable connections that statistical analysis can reveal.
In the words of Benjamin Franklin, "Energy and persistence conquer all things," and indeed, our persistence in uncovering this unlikely relationship has led to an exhilarating discovery. As we wrap up this investigation into the entangled realms of West Virginian votes and Bosnian electricity, we hope that our findings will serve as a lighthearted yet enlightening reminder that the world of data analysis is filled with both marvels and mysteries, and that unpredictability is a spark that ignites the flames of discovery.
Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of academic journals. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding research, scientific, or academic journal that would publish a paper entited Wacky West Virginia Votes and Bosnian Electricity: A Bizarre Back-and-Forth. Respond only with the name of a fictional academic journal.
ChatGPT:
Journal of Quirky Regional Politics
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 Wacky West Virginia Votes and Bosnian Electricity: A Bizarre Back-and-Forth. Respond only with the name of a fictional organization.
ChatGPT:
The Research Society for Eccentric Global Phenomena
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 Wacky West Virginia Votes and Bosnian Electricity: A Bizarre Back-and-Forth with an abstract of This peculiar paper plumbs the preposterous connection between votes for the Republican presidential candidate in West Virginia and electricity generation in Bosnia and Herzegovina. Armed with data from MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, our research team delved into this confounding correlation from 1992 to 2020. With a correlation coefficient of 0.9685574 and p < 0.01, our findings stand as a testament to the mind-boggling nature of statistical coincidences. Join us on this whimsical journey through the seemingly unrelated realms of votes and volts!
ChatGPT:
West Virginia votes, Republican presidential candidate, West Virginia voting patterns, Bosnia and Herzegovina electricity generation, correlation between votes and electricity, MIT Election Data and Science Lab, Harvard Dataverse, Energy Information Administration, statistical coincidences, correlation coefficient, p-value, votes and volts, bizarre correlation, whimsical research, bizarre statistical findings
*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 Republican Presidential candidate in West VirginiaDetailed data title: Percentage of all votes cast for the Republican Presidential candidate in West Virginia
Source: MIT Election Data and Science Lab, Harvard Dataverse
See what else correlates with Votes for the Republican Presidential candidate in West Virginia
Electricity generation in Bosnia and Herzegovina
Detailed data title: Total electricity generation in Bosnia and Herzegovina in billion kWh
Source: Energy Information Administration
See what else correlates with Electricity generation in Bosnia and Herzegovina
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 = 0.9381035 (Coefficient of determination)
This means 93.8% of the change in the one variable (i.e., Electricity generation in Bosnia and Herzegovina) is predictable based on the change in the other (i.e., Votes for the Republican Presidential candidate in West Virginia) over the 8 years from 1992 through 2020.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 7.6E-5. 0.0000758920008603334100000000
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 0.0076% of random cases. Said differently, if you correlated 13,177 random variables Which I absolutely did.
with the same 7 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 7 because we have two variables measured over a period of 8 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.
[ 0.83, 0.99 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.
This one is a bit more complciated than the other calculations, but I include it because many people have been pushing for confidence intervals instead of p-value calculations (for example: NEJM. However, if you are dredging data, you can reliably find yourself in the 5%. That's my goal!
All values for the years included above: If I were being very sneaky, I could trim years from the beginning or end of the datasets to increase the correlation on some pairs of variables. I don't do that because there are already plenty of correlations in my database without monkeying with the years.
Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
| 1992 | 1996 | 2000 | 2004 | 2008 | 2012 | 2016 | 2020 | |
| Votes for the Republican Presidential candidate in West Virginia (Percentage of votes) | 35.393 | 36.7574 | 51.9152 | 56.0707 | 55.7103 | 62.2958 | 68.6306 | 68.6316 |
| Electricity generation in Bosnia and Herzegovina (Billion kWh) | 6.304 | 7.157 | 10.0579 | 12.2631 | 14.1766 | 13.449 | 16.9865 | 15.6925 |
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. - 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([35.393,36.7574,51.9152,56.0707,55.7103,62.2958,68.6306,68.6316,])
array_2 = np.array([6.304,7.157,10.0579,12.2631,14.1766,13.449,16.9865,15.6925,])
array_1_name = "Votes for the Republican Presidential candidate in West Virginia"
array_2_name = "Electricity generation in Bosnia and Herzegovina"
# 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.
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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 Republican Presidential candidate in West Virginia
- Line chart for only Electricity generation in Bosnia and Herzegovina
- AI-generated correlation image
- The spurious research paper: Wacky West Virginia Votes and Bosnian Electricity: A Bizarre Back-and-Forth
Your rating is pure awesomeness!
Correlation ID: 4477 · Black Variable ID: 26189 · Red Variable ID: 23528
