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AI explanation
As the saying goes, "Oklahoma, where the votes come sweepin' down the plain!" It's clear that the surge in Republican votes for Senators in Oklahoma has sparked a chain reaction leading to an increase in political power. This power is analogous to the energy derived from petroleum, ultimately causing a ripple effect all the way to Lebanon, known for its consumption of petrol. It's a case of political votes igniting a fueling frenzy, as the connection between the red state and the Middle East is no longer just a pipe dream! It seems that when it comes to this correlation, the stakes are high and the puns are truly unrefined. Additionally, the shift in political climate has set off a combustion of sorts, propelling petroleum consumption in Lebanon to new levels. So, let's just say that when it comes to this correlation, the political landscape isn't the only thing experiencing seismic activity!
Model: dalle-3
Prompt: Generate an image of a TIME magazine cover featuring a striking scene: A map of Oklahoma overlaid with soaring Republican elephant voting badges, accompanied by a surge of energy. The energy extends as a pipeline from Oklahoma to Lebanon, where giant drums of petroleum are being consumed at an accelerating pace, fuelling a frenzy of activity. The badges transform into droplets of petroleum to symbolize the political and energy connections between the two locations. The image is bold and visually captivating, depicting the intricate web of political and energy dynamics between Oklahoma and Lebanon. 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: Republican votes for Senators in Oklahoma and Petroluem consumption in Lebanon. 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: Cubism Macabre Scalar art A TIME magazine cover image Pop art
ChatGPT: A TIME magazine cover image
Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both Republican votes for Senators in Oklahoma and Petroluem consumption in Lebanon, in the following situation: As the saying goes, "Oklahoma, where the votes come sweepin' down the plain!" It's clear that the surge in Republican votes for Senators in Oklahoma has sparked a chain reaction leading to an increase in political power. This power is analogous to the energy derived from petroleum, ultimately causing a ripple effect all the way to Lebanon, known for its consumption of petrol. It's a case of political votes igniting a fueling frenzy, as the connection between the red state and the Middle East is no longer just a pipe dream! It seems that when it comes to this correlation, the stakes are high and the puns are truly unrefined. Additionally, the shift in political climate has set off a combustion of sorts, propelling petroleum consumption in Lebanon to new levels. So, let's just say that when it comes to this correlation, the political landscape isn't the only thing experiencing seismic activity!. Keep the description simple.
ChatGPT: Imagine a scene where a map of Oklahoma is overlaid with voting badges displaying the Republican elephant symbol. These badges are soaring across the state, creating a surge of energy. This energy is depicted as a pipeline extending from Oklahoma to Lebanon, where giant drums of petroleum are being consumed at an accelerating pace, fuelling a frenzy of activity. The connection between the two places is highlighted by the badges transforming into droplets of petroleum, symbolizing the political and energy connections between Oklahoma and Lebanon.
Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ A TIME magazine cover image ] and depicting this scene: Imagine a scene where a map of Oklahoma is overlaid with voting badges displaying the Republican elephant symbol. These badges are soaring across the state, creating a surge of energy. This energy is depicted as a pipeline extending from Oklahoma to Lebanon, where giant drums of petroleum are being consumed at an accelerating pace, fuelling a frenzy of activity. The connection between the two places is highlighted by the badges transforming into droplets of petroleum, symbolizing the political and energy connections between Oklahoma and Lebanon. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a TIME magazine cover featuring a striking scene: A map of Oklahoma overlaid with soaring Republican elephant voting badges, accompanied by a surge of energy. The energy extends as a pipeline from Oklahoma to Lebanon, where giant drums of petroleum are being consumed at an accelerating pace, fuelling a frenzy of activity. The badges transform into droplets of petroleum to symbolize the political and energy connections between the two locations. The image is bold and visually captivating, depicting the intricate web of political and energy dynamics between Oklahoma and Lebanon.
*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 Republican votes for Senators in Oklahoma caused Petroluem consumption in Lebanon to increase. Include one good pun.
AI academic paper
 |
Drilling Down: Unearthing the Connection Between Republican Votes in Oklahoma and Petroleum Consumption in Lebanon The International Journal of Political Petrology 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 Republican votes for Senators in Oklahoma and Petroluem consumption in Lebanon. Make lots of jokes, goofy observations, and puns.
Make the title a clever pun.
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 0.8514170 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]]
"Drilling Down: Unearthing the Connection Between Republican Votes in Oklahoma and Petroleum Consumption in Lebanon"
[[ABSTRACT]]
In this study, we delved deep into the perplexing relationship between Republican votes for Senators in Oklahoma and petroleum consumption in Lebanon. Despite the distance between the two regions, our research uncovered a surprising correlation that is more than just a quirk of geography. Utilizing data from MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, we analyzed voting patterns and petroleum consumption figures spanning the years 1980 to 2020. Our results revealed a strikingly high correlation coefficient of 0.8514170 and a p-value of less than 0.01, suggesting a robust connection between these seemingly unrelated variables. While this relationship may seem as improbable as striking oil in the heartland, it demands further investigation and calls for a closer examination of the political and economic dynamics at play. This study provides a lighthearted yet thought-provoking exploration of the unexpected connections that underlie the intricate web of global affairs.
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 Republican votes for Senators in Oklahoma and Petroluem consumption in Lebanon. 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]]
"Drilling Down: Unearthing the Connection Between Republican Votes in Oklahoma and Petroleum Consumption in Lebanon"
[[ABSTRACT]]
In this study, we delved deep into the perplexing relationship between Republican votes for Senators in Oklahoma and petroleum consumption in Lebanon. Despite the distance between the two regions, our research uncovered a surprising correlation that is more than just a quirk of geography. Utilizing data from MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, we analyzed voting patterns and petroleum consumption figures spanning the years 1980 to 2020. Our results revealed a strikingly high correlation coefficient of 0.8514170 and a p-value of less than 0.01, suggesting a robust connection between these seemingly unrelated variables. While this relationship may seem as improbable as striking oil in the heartland, it demands further investigation and calls for a closer examination of the political and economic dynamics at play. This study provides a lighthearted yet thought-provoking exploration of the unexpected connections that underlie the intricate web of global affairs.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
As the old saying goes, "Politics makes strange bedfellows," and in the case of our research, it seems that petroleum consumption and Republican votes have decided to cozy up together in an unlikely partnership. While we may not have stumbled upon the secret to turning crude oil into votes, we have unearthed a correlation that stretches across continents, defying conventional wisdom and prompting more than a few raised eyebrows.
The intersection of politics and petroleum may seem as incongruous as wearing a sequined gown to a mud-wrestling match, but our findings paint a compelling picture. Oklahoma, known for its rich oil reserves and a penchant for supporting Republican Senators, found itself in an unexpected dance with Lebanon, a country known more for its historic sites than for petrol pumps. Despite the obstacles of distance, culture, and climate, our data has thrust these seemingly disparate regions into an unlikely embrace.
As we embark on this scholarly journey, we cannot help but marvel at the serendipitous nature of our findings. It's as if we stumbled upon a fossilized T-rex in a garden bed while hunting for gardening tools - a delightful surprise, but one that demands further investigation to uncover the true implications beneath the surface.
So, join us as we delve into the labyrinth of statistics, charts, and perhaps a few puns, to unravel the mystery of this peculiar link between Republican votes in Oklahoma and petroleum consumption in Lebanon. While we may not have uncovered the next great petroleum-related sitcom title (“Drilling for Votes” anyone?), our findings promise a captivating exploration of the unexpected connections that keep the world turning.
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 Republican votes for Senators in Oklahoma and Petroluem consumption in Lebanon. 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 cite some social media posts you read that seem to be related.
Here is the title and abstract of the paper:
[[TITLE]]
"Drilling Down: Unearthing the Connection Between Republican Votes in Oklahoma and Petroleum Consumption in Lebanon"
[[ABSTRACT]]
In this study, we delved deep into the perplexing relationship between Republican votes for Senators in Oklahoma and petroleum consumption in Lebanon. Despite the distance between the two regions, our research uncovered a surprising correlation that is more than just a quirk of geography. Utilizing data from MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, we analyzed voting patterns and petroleum consumption figures spanning the years 1980 to 2020. Our results revealed a strikingly high correlation coefficient of 0.8514170 and a p-value of less than 0.01, suggesting a robust connection between these seemingly unrelated variables. While this relationship may seem as improbable as striking oil in the heartland, it demands further investigation and calls for a closer examination of the political and economic dynamics at play. This study provides a lighthearted yet thought-provoking exploration of the unexpected connections that underlie the intricate web of global affairs.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
As the old saying goes, "Politics makes strange bedfellows," and in the case of our research, it seems that petroleum consumption and Republican votes have decided to cozy up together in an unlikely partnership. While we may not have stumbled upon the secret to turning crude oil into votes, we have unearthed a correlation that stretches across continents, defying conventional wisdom and prompting more than a few raised eyebrows.
The intersection of politics and petroleum may seem as incongruous as wearing a sequined gown to a mud-wrestling match, but our findings paint a compelling picture. Oklahoma, known for its rich oil reserves and a penchant for supporting Republican Senators, found itself in an unexpected dance with Lebanon, a country known more for its historic sites than for petrol pumps. Despite the obstacles of distance, culture, and climate, our data has thrust these seemingly disparate regions into an unlikely embrace.
As we embark on this scholarly journey, we cannot help but marvel at the serendipitous nature of our findings. It's as if we stumbled upon a fossilized T-rex in a garden bed while hunting for gardening tools - a delightful surprise, but one that demands further investigation to uncover the true implications beneath the surface.
So, join us as we delve into the labyrinth of statistics, charts, and perhaps a few puns, to unravel the mystery of this peculiar link between Republican votes in Oklahoma and petroleum consumption in Lebanon. While we may not have uncovered the next great petroleum-related sitcom title (“Drilling for Votes” anyone?), our findings promise a captivating exploration of the unexpected connections that keep the world turning.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
The intricate relationship between Republican votes in Oklahoma and petroleum consumption in Lebanon may seem more far-fetched than finding a unicorn in a cornfield. However, a review of the existing literature reveals a surprising body of work that sheds light on this remarkably unexpected correlation.
Smith et al. (2017) conducted a comprehensive analysis of political voting patterns in the United States, delving deep into the dynamics of conservative support in states with a strong petroleum industry. Their findings illuminated the strong ties between oil-reliant economies and the political inclinations of the voting populace, establishing a foundation for our own investigation.
Building upon the foundations laid by Smith et al., Doe (2019) explored the global implications of petroleum consumption, uncovering surprising pockets of influence that extended far beyond national borders. The study's insights into the interconnectedness of energy markets sparked our curiosity and planted the seed for our exploration of the Oklahoma-Lebanon connection.
Jones (2020) ventured into uncharted territories with a captivating examination of election dynamics and their curious links to unexpected economic indicators. While their work did not directly touch upon the specific case of our study, it offered invaluable insights into the complex interplay between seemingly unrelated variables, setting the stage for our own groundbreaking discoveries.
Moving beyond the academic realm, works such as "The Prize: The Epic Quest for Oil, Money, and Power" by Daniel Yergin and "Crude Volatility: The History and the Future of Boom-Bust Oil Prices" by Robert McNally offered a fascinating lens through which to view the world of petroleum politics. While these books may not have set out to investigate the Oklahoma-Lebanon enigma, their exploration of the global impact of oil and its far-reaching ramifications provided invaluable context for our own scholarly pursuits.
In a surprising turn of events, even fiction seemed to hold a mirror to our research interests. The vivid imagery of oil fields and political machinations in James A. Michener's "Texas" and the subtle undercurrents of geopolitical maneuvering in Tom Clancy's "The Bear and the Dragon" offered unexpected inspiration as we sought to unravel the peculiar dance between Republican votes and petroleum consumption.
Not to be outdone, the Twitterverse and other social media platforms provided a wealth of unexpected insights through posts such as, "Lebanon's oil is a slippery subject but it seems to have a strange pull on distant lands like Oklahoma. Who knew?" and "Is it possible that the roots of Republican votes lie buried beneath the sands of Oklahoma's petroleum reserves?"
As we wade through this diverse array of literature, both serious and whimsical, it becomes evident that the confluence of politics and petroleum holds a mystique that transcends conventional boundaries. Our endeavor to unravel the enigmatic connection between Republican votes in Oklahoma and petroleum consumption in Lebanon promises not only scholarly insight but also a healthy dose of amusement – but fear not, dear reader, for we are poised to navigate this labyrinth with the precision of an oil drill and the levity of a lighthearted jest.
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 Republican votes for Senators in Oklahoma and Petroluem consumption in Lebanon. 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 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]]
"Drilling Down: Unearthing the Connection Between Republican Votes in Oklahoma and Petroleum Consumption in Lebanon"
[[ABSTRACT]]
In this study, we delved deep into the perplexing relationship between Republican votes for Senators in Oklahoma and petroleum consumption in Lebanon. Despite the distance between the two regions, our research uncovered a surprising correlation that is more than just a quirk of geography. Utilizing data from MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, we analyzed voting patterns and petroleum consumption figures spanning the years 1980 to 2020. Our results revealed a strikingly high correlation coefficient of 0.8514170 and a p-value of less than 0.01, suggesting a robust connection between these seemingly unrelated variables. While this relationship may seem as improbable as striking oil in the heartland, it demands further investigation and calls for a closer examination of the political and economic dynamics at play. This study provides a lighthearted yet thought-provoking exploration of the unexpected connections that underlie the intricate web of global affairs.
[[INTRODUCTION]]
As the old saying goes, "Politics makes strange bedfellows," and in the case of our research, it seems that petroleum consumption and Republican votes have decided to cozy up together in an unlikely partnership. While we may not have stumbled upon the secret to turning crude oil into votes, we have unearthed a correlation that stretches across continents, defying conventional wisdom and prompting more than a few raised eyebrows.
The intersection of politics and petroleum may seem as incongruous as wearing a sequined gown to a mud-wrestling match, but our findings paint a compelling picture. Oklahoma, known for its rich oil reserves and a penchant for supporting Republican Senators, found itself in an unexpected dance with Lebanon, a country known more for its historic sites than for petrol pumps. Despite the obstacles of distance, culture, and climate, our data has thrust these seemingly disparate regions into an unlikely embrace.
As we embark on this scholarly journey, we cannot help but marvel at the serendipitous nature of our findings. It's as if we stumbled upon a fossilized T-rex in a garden bed while hunting for gardening tools - a delightful surprise, but one that demands further investigation to uncover the true implications beneath the surface.
So, join us as we delve into the labyrinth of statistics, charts, and perhaps a few puns, to unravel the mystery of this peculiar link between Republican votes in Oklahoma and petroleum consumption in Lebanon. While we may not have uncovered the next great petroleum-related sitcom title (“Drilling for Votes” anyone?), our findings promise a captivating exploration of the unexpected connections that keep the world turning.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To investigate the perplexing connection between Republican votes in Oklahoma and petroleum consumption in Lebanon, we employed a methodological approach as convoluted and unexpected as finding a penguin in the Sahara. Our data collection process was akin to a treasure hunt in the wilds of the internet, with the MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration serving as our digital maps and compasses from 1980 to 2020.
First, we gathered voting data for the state of Oklahoma, focusing specifically on the elections for Senators and the associated political affiliations, making sure to maintain a bipartisan view despite the occasional urge to break into a chorus of "Don't Stop Believin'" as we analyzed the numbers. As for petroleum consumption in Lebanon, we delved into the annals of energy statistics with the enthusiasm of archeologists unearthing an ancient civilization, carefully extracting and tabulating data to ensure an accurate picture of the country's energy consumption trends.
Our next step involved a statistical tango, utilizing advanced techniques such as correlation analysis and regression modeling. We computed the correlation coefficient to measure the strength and direction of the relationship between Republican votes in Oklahoma and petroleum consumption in Lebanon, taking care not to trip over the web of numbers as we waltzed through the data. The resulting p-value shimmered like a rare gem in the statistical landscape, indicating a relationship so robust that it defied conventional expectations, much like stumbling upon a cactus in the Arctic.
Furthermore, we employed multivariate regression analysis to control for potential confounding variables, channeling the spirit of a wizard trying to wrangle unruly magical creatures as we untangled the web of political, economic, and geographic factors that could influence the observed relationship. Our models were as intricate and robust as a Swiss watch, meticulously designed to tease out the nuanced dynamics at play between Republican votes and petroleum consumption, with the occasional giggle at the prospect of untangling political processes as tangled as a bowl of spaghetti.
In addition, we conducted sensitivity analyses to test the robustness of our findings, ensuring that our results were as sturdy as a sturdy oak in a storm and not as flimsy as a house of cards in a gust of wind. Like intrepid explorers, we ventured into the statistical wilderness, navigating the murky terrain of uncertainty with a keen eye for detail and an unwavering commitment to unraveling the enigmatic connection that had eluded conventional wisdom.
Ultimately, our approach to this investigation may have been as unexpected as finding a four-leaf clover in a concrete jungle, but it yielded insightful findings that demand further exploration and scrutiny. As we peel back the layers of this curious correlation, we invite our fellow researchers to join us in this scholarly adventure – a journey paved with data, peppered with puns, and brimming with the delightful surprises that make academic exploration a joyous pursuit.
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 Republican votes for Senators in Oklahoma and Petroluem consumption in Lebanon. 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 1980 to 2020, you found a correlation 0.8514170, r-squared of 0.7249109, 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]]
"Drilling Down: Unearthing the Connection Between Republican Votes in Oklahoma and Petroleum Consumption in Lebanon"
[[ABSTRACT]]
In this study, we delved deep into the perplexing relationship between Republican votes for Senators in Oklahoma and petroleum consumption in Lebanon. Despite the distance between the two regions, our research uncovered a surprising correlation that is more than just a quirk of geography. Utilizing data from MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, we analyzed voting patterns and petroleum consumption figures spanning the years 1980 to 2020. Our results revealed a strikingly high correlation coefficient of 0.8514170 and a p-value of less than 0.01, suggesting a robust connection between these seemingly unrelated variables. While this relationship may seem as improbable as striking oil in the heartland, it demands further investigation and calls for a closer examination of the political and economic dynamics at play. This study provides a lighthearted yet thought-provoking exploration of the unexpected connections that underlie the intricate web of global affairs.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
As the old saying goes, "Politics makes strange bedfellows," and in the case of our research, it seems that petroleum consumption and Republican votes have decided to cozy up together in an unlikely partnership. While we may not have stumbled upon the secret to turning crude oil into votes, we have unearthed a correlation that stretches across continents, defying conventional wisdom and prompting more than a few raised eyebrows.
The intersection of politics and petroleum may seem as incongruous as wearing a sequined gown to a mud-wrestling match, but our findings paint a compelling picture. Oklahoma, known for its rich oil reserves and a penchant for supporting Republican Senators, found itself in an unexpected dance with Lebanon, a country known more for its historic sites than for petrol pumps. Despite the obstacles of distance, culture, and climate, our data has thrust these seemingly disparate regions into an unlikely embrace.
As we embark on this scholarly journey, we cannot help but marvel at the serendipitous nature of our findings. It's as if we stumbled upon a fossilized T-rex in a garden bed while hunting for gardening tools - a delightful surprise, but one that demands further investigation to uncover the true implications beneath the surface.
So, join us as we delve into the labyrinth of statistics, charts, and perhaps a few puns, to unravel the mystery of this peculiar link between Republican votes in Oklahoma and petroleum consumption in Lebanon. While we may not have uncovered the next great petroleum-related sitcom title (“Drilling for Votes” anyone?), our findings promise a captivating exploration of the unexpected connections that keep the world turning.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The analysis of the data yielded a correlation coefficient of 0.8514170, indicating a strong positive linear relationship between Republican votes for Senators in Oklahoma and petroleum consumption in Lebanon. This connection might seem more far-fetched than finding a camel in a snowstorm, but the statistical evidence leaves little room for doubt.
Furthermore, the coefficient of determination (r-squared) was calculated to be 0.7249109, signifying that approximately 72.49% of the variability in petroleum consumption in Lebanon can be explained by the variation in Republican votes for Senators in Oklahoma. It's almost as if every vote cast in the Sooner State has ripples that reverberate across the globe, echoing in the petrol stations of distant lands.
The p-value of less than 0.01 further solidifies the significance of this relationship, providing a level of confidence akin to finding oil in a gusher rather than a mere trickle. This finding emphasizes the importance of taking a closer look at the interplay between political leanings in Oklahoma and energy dynamics in Lebanon, as the implications may extend beyond mere coincidence.
Fig. 1 illustrates the correlation between Republican votes for Senators in Oklahoma and petroleum consumption in Lebanon. It's a sight to behold, much like stumbling upon a misplaced oasis in a desert of statistical analysis.
These results not only raise eyebrows but also raise important questions. We are left wondering whether the spread of conservative sentiment in the heartland has an unintended impact on the demand for petroleum in lands far and wide. There's more to this connection than meets the eye, and it seems we're in need of a political and economic compass to navigate this uncharted territory.
In conclusion, our findings showcase a correlation that breaks the traditional mold – like breaking open a fortune cookie to find a map to the next great oil reserve. By shining a light on this unexpected relationship, our study paves the way for further exploration and unveils the hidden ties that bind global political and economic landscapes.
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 Republican votes for Senators in Oklahoma and Petroluem consumption in Lebanon. 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]]
"Drilling Down: Unearthing the Connection Between Republican Votes in Oklahoma and Petroleum Consumption in Lebanon"
[[ABSTRACT]]
In this study, we delved deep into the perplexing relationship between Republican votes for Senators in Oklahoma and petroleum consumption in Lebanon. Despite the distance between the two regions, our research uncovered a surprising correlation that is more than just a quirk of geography. Utilizing data from MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, we analyzed voting patterns and petroleum consumption figures spanning the years 1980 to 2020. Our results revealed a strikingly high correlation coefficient of 0.8514170 and a p-value of less than 0.01, suggesting a robust connection between these seemingly unrelated variables. While this relationship may seem as improbable as striking oil in the heartland, it demands further investigation and calls for a closer examination of the political and economic dynamics at play. This study provides a lighthearted yet thought-provoking exploration of the unexpected connections that underlie the intricate web of global affairs.
[[LITERATURE REVIEW]]
The intricate relationship between Republican votes in Oklahoma and petroleum consumption in Lebanon may seem more far-fetched than finding a unicorn in a cornfield. However, a review of the existing literature reveals a surprising body of work that sheds light on this remarkably unexpected correlation.
Smith et al. (2017) conducted a comprehensive analysis of political voting patterns in the United States, delving deep into the dynamics of conservative support in states with a strong petroleum industry. Their findings illuminated the strong ties between oil-reliant economies and the political inclinations of the voting populace, establishing a foundation for our own investigation.
Building upon the foundations laid by Smith et al., Doe (2019) explored the global implications of petroleum consumption, uncovering surprising pockets of influence that extended far beyond national borders. The study's insights into the interconnectedness of energy markets sparked our curiosity and planted the seed for our exploration of the Oklahoma-Lebanon connection.
Jones (2020) ventured into uncharted territories with a captivating examination of election dynamics and their curious links to unexpected economic indicators. While their work did not directly touch upon the specific case of our study, it offered invaluable insights into the complex interplay between seemingly unrelated variables, setting the stage for our own groundbreaking discoveries.
Moving beyond the academic realm, works such as "The Prize: The Epic Quest for Oil, Money, and Power" by Daniel Yergin and "Crude Volatility: The History and the Future of Boom-Bust Oil Prices" by Robert McNally offered a fascinating lens through which to view the world of petroleum politics. While these books may not have set out to investigate the Oklahoma-Lebanon enigma, their exploration of the global impact of oil and its far-reaching ramifications provided invaluable context for our own scholarly pursuits.
In a surprising turn of events, even fiction seemed to hold a mirror to our research interests. The vivid imagery of oil fields and political machinations in James A. Michener's "Texas" and the subtle undercurrents of geopolitical maneuvering in Tom Clancy's "The Bear and the Dragon" offered unexpected inspiration as we sought to unravel the peculiar dance between Republican votes and petroleum consumption.
Not to be outdone, the Twitterverse and other social media platforms provided a wealth of unexpected insights through posts such as, "Lebanon's oil is a slippery subject but it seems to have a strange pull on distant lands like Oklahoma. Who knew?" and "Is it possible that the roots of Republican votes lie buried beneath the sands of Oklahoma's petroleum reserves?"
As we wade through this diverse array of literature, both serious and whimsical, it becomes evident that the confluence of politics and petroleum holds a mystique that transcends conventional boundaries. Our endeavor to unravel the enigmatic connection between Republican votes in Oklahoma and petroleum consumption in Lebanon promises not only scholarly insight but also a healthy dose of amusement – but fear not, dear reader, for we are poised to navigate this labyrinth with the precision of an oil drill and the levity of a lighthearted jest.
[[RESULTS]]
The analysis of the data yielded a correlation coefficient of 0.8514170, indicating a strong positive linear relationship between Republican votes for Senators in Oklahoma and petroleum consumption in Lebanon. This connection might seem more far-fetched than finding a camel in a snowstorm, but the statistical evidence leaves little room for doubt.
Furthermore, the coefficient of determination (r-squared) was calculated to be 0.7249109, signifying that approximately 72.49% of the variability in petroleum consumption in Lebanon can be explained by the variation in Republican votes for Senators in Oklahoma. It's almost as if every vote cast in the Sooner State has ripples that reverberate across the globe, echoing in the petrol stations of distant lands.
The p-value of less than 0.01 further solidifies the significance of this relationship, providing a level of confidence akin to finding oil in a gusher rather than a mere trickle. This finding emphasizes the importance of taking a closer look at the interplay between political leanings in Oklahoma and energy dynamics in Lebanon, as the implications may extend beyond mere coincidence.
Fig. 1 illustrates the correlation between Republican votes for Senators in Oklahoma and petroleum consumption in Lebanon. It's a sight to behold, much like stumbling upon a misplaced oasis in a desert of statistical analysis.
These results not only raise eyebrows but also raise important questions. We are left wondering whether the spread of conservative sentiment in the heartland has an unintended impact on the demand for petroleum in lands far and wide. There's more to this connection than meets the eye, and it seems we're in need of a political and economic compass to navigate this uncharted territory.
In conclusion, our findings showcase a correlation that breaks the traditional mold – like breaking open a fortune cookie to find a map to the next great oil reserve. By shining a light on this unexpected relationship, our study paves the way for further exploration and unveils the hidden ties that bind global political and economic landscapes.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The unexpected link between Republican votes in Oklahoma and petroleum consumption in Lebanon, akin to finding a diamond in the rough, has left us marveling at the intricate web of global interconnectedness. Our findings confirmed and built upon the previous literature, underscoring the robustness of this unlikely correlation.
Smith et al.'s (2017) illumination of the ties between oil-reliant economies and political inclinations resonates deeply with our own discovery. It appears that the support for conservative parties in states with a strong petroleum industry extends its reach far beyond the nation's borders, manifesting in the consumption patterns of distant lands. It seems that the political pendulum in Oklahoma carries an invisible influence, akin to the sway of a derrick in the wind, that echoes across continents.
Similarly, Doe's (2019) exploration of the global implications of petroleum consumption finds unexpected validation in our study. Just as their work hinted at surprising pockets of influence transcending national boundaries, our investigation has unearthed a strong statistical connection between distant regions. The economic dance of supply and demand seems to have a partner in the political tango of conservative votes, and the two lead in perfect sync, like a synchronized oil drill performance.
Even the whimsical insights gleaned from social media play a surprisingly serious role in our discussion. The Twitter posts pointing to the mysterious allure of Lebanon's oil resonates more deeply than anticipated. It seems that the mystique of oil reserves and political machinations has woven a tapestry that extends from heartland Senate votes to the petrol stations of a distant land. Who would have thought that beneath the lighthearted jests and playful musings lay a truth stranger than fiction?
Our findings not only validate but amplify the existing body of work, shedding new light on the enigmatic connection between Republican votes in Oklahoma and petroleum consumption in Lebanon. The correlation uncovered echoes far beyond the realm of statistical analysis, underscoring an intricate dance between political leanings and energy dynamics that calls for a closer examination. We are left intrigued by the unseen threads that bind these seemingly disparate variables, calling for further exploration with the zealousness of prospectors chasing the next black gold bonanza.
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 Republican votes for Senators in Oklahoma and Petroluem consumption in Lebanon. 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]]
"Drilling Down: Unearthing the Connection Between Republican Votes in Oklahoma and Petroleum Consumption in Lebanon"
[[ABSTRACT]]
In this study, we delved deep into the perplexing relationship between Republican votes for Senators in Oklahoma and petroleum consumption in Lebanon. Despite the distance between the two regions, our research uncovered a surprising correlation that is more than just a quirk of geography. Utilizing data from MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, we analyzed voting patterns and petroleum consumption figures spanning the years 1980 to 2020. Our results revealed a strikingly high correlation coefficient of 0.8514170 and a p-value of less than 0.01, suggesting a robust connection between these seemingly unrelated variables. While this relationship may seem as improbable as striking oil in the heartland, it demands further investigation and calls for a closer examination of the political and economic dynamics at play. This study provides a lighthearted yet thought-provoking exploration of the unexpected connections that underlie the intricate web of global affairs.
[[INTRDUCTION]]
As the old saying goes, "Politics makes strange bedfellows," and in the case of our research, it seems that petroleum consumption and Republican votes have decided to cozy up together in an unlikely partnership. While we may not have stumbled upon the secret to turning crude oil into votes, we have unearthed a correlation that stretches across continents, defying conventional wisdom and prompting more than a few raised eyebrows.
The intersection of politics and petroleum may seem as incongruous as wearing a sequined gown to a mud-wrestling match, but our findings paint a compelling picture. Oklahoma, known for its rich oil reserves and a penchant for supporting Republican Senators, found itself in an unexpected dance with Lebanon, a country known more for its historic sites than for petrol pumps. Despite the obstacles of distance, culture, and climate, our data has thrust these seemingly disparate regions into an unlikely embrace.
As we embark on this scholarly journey, we cannot help but marvel at the serendipitous nature of our findings. It's as if we stumbled upon a fossilized T-rex in a garden bed while hunting for gardening tools - a delightful surprise, but one that demands further investigation to uncover the true implications beneath the surface.
So, join us as we delve into the labyrinth of statistics, charts, and perhaps a few puns, to unravel the mystery of this peculiar link between Republican votes in Oklahoma and petroleum consumption in Lebanon. While we may not have uncovered the next great petroleum-related sitcom title (“Drilling for Votes” anyone?), our findings promise a captivating exploration of the unexpected connections that keep the world turning.
[[RESULTS]]
The analysis of the data yielded a correlation coefficient of 0.8514170, indicating a strong positive linear relationship between Republican votes for Senators in Oklahoma and petroleum consumption in Lebanon. This connection might seem more far-fetched than finding a camel in a snowstorm, but the statistical evidence leaves little room for doubt.
Furthermore, the coefficient of determination (r-squared) was calculated to be 0.7249109, signifying that approximately 72.49% of the variability in petroleum consumption in Lebanon can be explained by the variation in Republican votes for Senators in Oklahoma. It's almost as if every vote cast in the Sooner State has ripples that reverberate across the globe, echoing in the petrol stations of distant lands.
The p-value of less than 0.01 further solidifies the significance of this relationship, providing a level of confidence akin to finding oil in a gusher rather than a mere trickle. This finding emphasizes the importance of taking a closer look at the interplay between political leanings in Oklahoma and energy dynamics in Lebanon, as the implications may extend beyond mere coincidence.
Fig. 1 illustrates the correlation between Republican votes for Senators in Oklahoma and petroleum consumption in Lebanon. It's a sight to behold, much like stumbling upon a misplaced oasis in a desert of statistical analysis.
These results not only raise eyebrows but also raise important questions. We are left wondering whether the spread of conservative sentiment in the heartland has an unintended impact on the demand for petroleum in lands far and wide. There's more to this connection than meets the eye, and it seems we're in need of a political and economic compass to navigate this uncharted territory.
In conclusion, our findings showcase a correlation that breaks the traditional mold – like breaking open a fortune cookie to find a map to the next great oil reserve. By shining a light on this unexpected relationship, our study paves the way for further exploration and unveils the hidden ties that bind global political and economic landscapes.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In wrapping up our oil-soaked odyssey, we've unearthed a correlation that's as surprising as finding gushers in a pumpkin patch. Our research, like a quirky rom-com, has paired the heartland of America with the petrol pumps of Lebanon, showcasing a connection that's more than just a pipe dream.
With a correlation coefficient higher than the price of premium gasoline, our results point to a robust relationship between Republican votes in Oklahoma and petroleum consumption in Lebanon. It's a connection as puzzling as finding a marching band in a library – unexpected, but undeniably there.
But before we break out the "I Heart Oklahoma" bumper stickers in Beirut, it's crucial to remember that correlation is not causation. We can't yet claim that every vote cast in Oklahoma pumps up the demand for petrol in Lebanon. As tempting as it is to ride this statistical rollercoaster straight to the next oil boom, we must practice cautious optimism.
While our findings tantalize with their unexpected flair, we assert that no further research is needed in this area. It's time to close this chapter and ponder more pressing questions, like whether cows have figured out how to tap dance when no one's watching.
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 Drilling Down: Unearthing the Connection Between Republican Votes in Oklahoma and Petroleum Consumption in Lebanon. Respond only with the name of a fictional academic journal.
ChatGPT:
The International Journal of Political Petrology
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 Drilling Down: Unearthing the Connection Between Republican Votes in Oklahoma and Petroleum Consumption in Lebanon. Respond only with the name of a fictional organization.
ChatGPT:
The Institute for Global Energy and Political Analysis
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 Drilling Down: Unearthing the Connection Between Republican Votes in Oklahoma and Petroleum Consumption in Lebanon with an abstract of In this study, we delved deep into the perplexing relationship between Republican votes for Senators in Oklahoma and petroleum consumption in Lebanon. Despite the distance between the two regions, our research uncovered a surprising correlation that is more than just a quirk of geography. Utilizing data from MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, we analyzed voting patterns and petroleum consumption figures spanning the years 1980 to 2020. Our results revealed a strikingly high correlation coefficient of 0.8514170 and a p-value of less than 0.01, suggesting a robust connection between these seemingly unrelated variables. While this relationship may seem as improbable as striking oil in the heartland, it demands further investigation and calls for a closer examination of the political and economic dynamics at play. This study provides a lighthearted yet thought-provoking exploration of the unexpected connections that underlie the intricate web of global affairs.
ChatGPT:
Republican votes Oklahoma, petroleum consumption Lebanon, correlation, MIT Election Data and Science Lab, Harvard Dataverse, Energy Information Administration, voting patterns, petroleum consumption, political dynamics, economic dynamics, global affairs
*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 Republican Senators in OklahomaDetailed data title: Total number of votes cast for Federal Republican Senate candidates in Oklahoma
Source: MIT Election Data and Science Lab, Harvard Dataverse
See what else correlates with Votes for Republican Senators in Oklahoma
Petroluem consumption in Lebanon
Detailed data title: Volume of petroluem consumption consumed in Lebanon in millions of barrels per day
Source: Energy Information Administration
See what else correlates with Petroluem consumption in Lebanon
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 = 0.7249109 (Coefficient of determination)
This means 72.5% of the change in the one variable (i.e., Petroluem consumption in Lebanon) is predictable based on the change in the other (i.e., Votes for Republican Senators in Oklahoma) over the 15 years from 1980 through 2020.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 5.7E-5. 0.0000565741132793840940000000
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 0.85 in 0.0057% of random cases. Said differently, if you correlated 17,676 random variables Which I absolutely did.
with the same 14 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 14 because we have two variables measured over a period of 15 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.
[ 0.6, 0.95 ] 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 | 1986 | 1990 | 1992 | 1994 | 1996 | 1998 | 2002 | 2004 | 2008 | 2010 | 2014 | 2016 | 2020 | |
| Votes for Republican Senators in Oklahoma (Total votes) | 587252 | 280638 | 493436 | 148814 | 757876 | 542390 | 670610 | 570682 | 583579 | 763433 | 763375 | 718482 | 1115170 | 980892 | 979140 |
| Petroluem consumption in Lebanon (Million Barrels/Day) | 45 | 41 | 45.8 | 33 | 55.6 | 76.5 | 85.8 | 99.5847 | 100.035 | 101.275 | 105.578 | 119.801 | 148 | 168.525 | 163.526 |
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([587252,280638,493436,148814,757876,542390,670610,570682,583579,763433,763375,718482,1115170,980892,979140,])
array_2 = np.array([45,41,45.8,33,55.6,76.5,85.8,99.5847,100.035,101.275,105.578,119.801,148,168.525,163.526,])
array_1_name = "Votes for Republican Senators in Oklahoma"
array_2_name = "Petroluem consumption in Lebanon"
# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)
# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)Reuseable content
You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.
For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."
When spoken, my last name is pronounced "vegan," like I don't eat meat.
Full license details.
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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 Republican Senators in Oklahoma
- Line chart for only Petroluem consumption in Lebanon
- AI-generated correlation image
- The spurious research paper: Drilling Down: Unearthing the Connection Between Republican Votes in Oklahoma and Petroleum Consumption in Lebanon
Thanks for shining a light on this correlation!
Correlation ID: 4337 · Black Variable ID: 26301 · Red Variable ID: 24621
