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AI explanation
As more Democrat votes for Senators in Alabama increased, so did the collective hot air production. This in turn created a greater demand for liquefied petroleum gas in Kyrgyzstan to power all the extra hot air balloons used in their annual festival.
Model: dalle-3
Prompt: Generate a comic-book-style illustration with muted colors reminiscent of the 1960s, featuring a scene of increased voter turnout for Democrat Senators in Alabama. In the foreground, capture the excitement of people casting their votes, with vibrant energy and a sense of unity. As the scene transitions to the background, depict the hot air soaring across the sea to Kyrgyzstan, where a colorful festival is in full swing. Show hot air balloons filling the sky, creating a visually striking contrast between the scenes. Utilize a dotted halftone pattern to enhance the vintage comic aesthetic. 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: Democrat votes for Senators in Alabama and Liquefied petroleum gas used in Kyrgyzstan. 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: A comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s Whimsical illustration Psychedelic Whimsical illustration Macabre
ChatGPT: A comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s
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 Democrat votes for Senators in Alabama and Liquefied petroleum gas used in Kyrgyzstan, in the following situation: As more Democrat votes for Senators in Alabama increased, so did the collective hot air production. This in turn created a greater demand for liquefied petroleum gas in Kyrgyzstan to power all the extra hot air balloons used in their annual festival.. Keep the description simple.
ChatGPT: In Alabama, more people came out to vote for Democrat Senators, filling the air with excitement. As the hot air soared, it stirred up a greater demand for liquefied petroleum gas across the sea in Kyrgyzstan, where colorful hot air balloons filled the sky for their annual festival.
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 comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s ] and depicting this scene: In Alabama, more people came out to vote for Democrat Senators, filling the air with excitement. As the hot air soared, it stirred up a greater demand for liquefied petroleum gas across the sea in Kyrgyzstan, where colorful hot air balloons filled the sky for their annual festival. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate a comic-book-style illustration with muted colors reminiscent of the 1960s, featuring a scene of increased voter turnout for Democrat Senators in Alabama. In the foreground, capture the excitement of people casting their votes, with vibrant energy and a sense of unity. As the scene transitions to the background, depict the hot air soaring across the sea to Kyrgyzstan, where a colorful festival is in full swing. Show hot air balloons filling the sky, creating a visually striking contrast between the scenes. Utilize a dotted halftone pattern to enhance the vintage comic aesthetic.
*Variations in the User Prompts from chart to chart are just the result of random number generation in Python. I wrote a few arrays of various styles and methods to ask questions to change up the results. Every time this site writes an explanation or generates an image, the script picks from each at random.
I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how increases in Democrat votes for Senators in Alabama positively influenced Liquefied petroleum gas used in Kyrgyzstan.
AI academic paper
 |
Democratic Gas: Unearthing the Curious Correlation between Alabama Senatorial Votes and LPG Consumption in Kyrgyzstan Journal of Comparative Political Quirkiness Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You write titles and abstracts of goofy academic research papers.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, and add unexpected twists in your writing.
Please draft the title and abstract of an academic research paper presenting the findings of the connection between Democrat votes for Senators in Alabama and Liquefied petroleum gas used in Kyrgyzstan. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Make the title punny if you can come up with clever pun. If not, make it sound serious.
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 0.9034021 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]]
Democratic Gas: Unearthing the Curious Correlation between Alabama Senatorial Votes and LPG Consumption in Kyrgyzstan
[[ABSTRACT]]
In this paper, we delve into the unlikely connection between the voting patterns of Alabama residents in senatorial elections and the consumption of liquefied petroleum gas (LPG) in the faraway land of Kyrgyzstan. Our study draws from extensive data sources including the MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration to unravel this curious correlation.
Evaluating data from 1992 to 2020, we unearthed a surprising correlation coefficient of 0.9034021 and a statistically significant p-value of less than 0.01. The results indicate a remarkably strong positive association between the percentage of Democrat votes for Senators in Alabama and the quantity of LPG used in Kyrgyzstan. It's as if these two seemingly unrelated entities are connected by an invisible thread, or should we say, a gas pipe?
It turns out that while Alabamians were casting their ballots, LPG consumption in Kyrgyzstan was quietly mirroring their political preferences. Who would have thought that the political landscape in the Deep South could bear such an uncanny resemblance to the gas consumption habits in a distant Central Asian country? It seems like the saying "gas, grass, or ass—nobody rides for free" applies not only to hitchhiking but also to statistical relationships. Indeed, the world is full of surprises, even in the most unexpected places.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the introduction section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the introduction section of an academic research paper presenting the findings of the connection between Democrat votes for Senators in Alabama and Liquefied petroleum gas used in Kyrgyzstan. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
Here is the title and abstract of the paper:
[[TITLE]]
Democratic Gas: Unearthing the Curious Correlation between Alabama Senatorial Votes and LPG Consumption in Kyrgyzstan
[[ABSTRACT]]
In this paper, we delve into the unlikely connection between the voting patterns of Alabama residents in senatorial elections and the consumption of liquefied petroleum gas (LPG) in the faraway land of Kyrgyzstan. Our study draws from extensive data sources including the MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration to unravel this curious correlation.
Evaluating data from 1992 to 2020, we unearthed a surprising correlation coefficient of 0.9034021 and a statistically significant p-value of less than 0.01. The results indicate a remarkably strong positive association between the percentage of Democrat votes for Senators in Alabama and the quantity of LPG used in Kyrgyzstan. It's as if these two seemingly unrelated entities are connected by an invisible thread, or should we say, a gas pipe?
It turns out that while Alabamians were casting their ballots, LPG consumption in Kyrgyzstan was quietly mirroring their political preferences. Who would have thought that the political landscape in the Deep South could bear such an uncanny resemblance to the gas consumption habits in a distant Central Asian country? It seems like the saying "gas, grass, or ass—nobody rides for free" applies not only to hitchhiking but also to statistical relationships. Indeed, the world is full of surprises, even in the most unexpected places.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
As the saying goes, "May the mass times acceleration be with you," and we, as researchers, have adhered to this maxim by venturing into the uncharted territory of statistical exploration. In this peculiar study, we set out to investigate the connection between the voting behavior of Alabamians in senatorial elections and the utilization of liquefied petroleum gas (LPG) in the distant and enigmatic land of Kyrgyzstan.
At first blush, one might wonder what correlation could possibly exist between the political leanings of Southern voters and the fuel choices of a Central Asian nation. However, much like a chemist seeking the perfect reaction, we forged ahead in our quest to unveil this surprising relationship. One might say we were driven by curiosity, but we prefer to think of it as a "gas" for discovery – pun intended.
Our adventure through the thickets of data, spanning the years 1992 to 2020, revealed a correlation coefficient of 0.9034021 and a p-value of less than 0.01, both of which left us rather giddy. In other words, we stumbled upon a statistical rapport akin to that of two long-lost friends reuniting after decades apart. It's almost as if the votes in Alabama were whispering, "LPG, I am your father" to the fuel usage in Kyrgyzstan. Our findings proved that, in the world of data analysis, truth can be stranger than fiction.
It's worth noting that this unexpected nexus between the political and energy realms could have far-reaching implications. Just as a spark can ignite a Bunsen burner, our discovery may set ablaze a new line of inquiry in the world of interdisciplinary studies. After all, who wouldn't be intrigued by the thought of a political decision in the Cotton State casting ripples across the gas pipelines of a region nestled in the heart of the Silk Road? It's a testament to the power of statistical analysis – sometimes, truth is indeed stranger than fiction, and you don't need a degree in physics to appreciate the "LPG attraction" in our findings.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up a literature review section of an academic research paper presenting the findings of the connection between Democrat votes for Senators in Alabama and Liquefied petroleum gas used in Kyrgyzstan. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.
Make up the lorem and ipsum part, but make it sound related to the topic at hand.
Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Perhaps you also got inspiration from some board games that are vaugely related.
Here is the title and abstract of the paper:
[[TITLE]]
Democratic Gas: Unearthing the Curious Correlation between Alabama Senatorial Votes and LPG Consumption in Kyrgyzstan
[[ABSTRACT]]
In this paper, we delve into the unlikely connection between the voting patterns of Alabama residents in senatorial elections and the consumption of liquefied petroleum gas (LPG) in the faraway land of Kyrgyzstan. Our study draws from extensive data sources including the MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration to unravel this curious correlation.
Evaluating data from 1992 to 2020, we unearthed a surprising correlation coefficient of 0.9034021 and a statistically significant p-value of less than 0.01. The results indicate a remarkably strong positive association between the percentage of Democrat votes for Senators in Alabama and the quantity of LPG used in Kyrgyzstan. It's as if these two seemingly unrelated entities are connected by an invisible thread, or should we say, a gas pipe?
It turns out that while Alabamians were casting their ballots, LPG consumption in Kyrgyzstan was quietly mirroring their political preferences. Who would have thought that the political landscape in the Deep South could bear such an uncanny resemblance to the gas consumption habits in a distant Central Asian country? It seems like the saying "gas, grass, or ass—nobody rides for free" applies not only to hitchhiking but also to statistical relationships. Indeed, the world is full of surprises, even in the most unexpected places.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
As the saying goes, "May the mass times acceleration be with you," and we, as researchers, have adhered to this maxim by venturing into the uncharted territory of statistical exploration. In this peculiar study, we set out to investigate the connection between the voting behavior of Alabamians in senatorial elections and the utilization of liquefied petroleum gas (LPG) in the distant and enigmatic land of Kyrgyzstan.
At first blush, one might wonder what correlation could possibly exist between the political leanings of Southern voters and the fuel choices of a Central Asian nation. However, much like a chemist seeking the perfect reaction, we forged ahead in our quest to unveil this surprising relationship. One might say we were driven by curiosity, but we prefer to think of it as a "gas" for discovery – pun intended.
Our adventure through the thickets of data, spanning the years 1992 to 2020, revealed a correlation coefficient of 0.9034021 and a p-value of less than 0.01, both of which left us rather giddy. In other words, we stumbled upon a statistical rapport akin to that of two long-lost friends reuniting after decades apart. It's almost as if the votes in Alabama were whispering, "LPG, I am your father" to the fuel usage in Kyrgyzstan. Our findings proved that, in the world of data analysis, truth can be stranger than fiction.
It's worth noting that this unexpected nexus between the political and energy realms could have far-reaching implications. Just as a spark can ignite a Bunsen burner, our discovery may set ablaze a new line of inquiry in the world of interdisciplinary studies. After all, who wouldn't be intrigued by the thought of a political decision in the Cotton State casting ripples across the gas pipelines of a region nestled in the heart of the Silk Road? It's a testament to the power of statistical analysis – sometimes, truth is indeed stranger than fiction, and you don't need a degree in physics to appreciate the "LPG attraction" in our findings.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
In "Smith et al.'s Analysis of Statewide Electoral Trends," the authors find a strong relationship between political party affiliations and regional voting patterns in the United States. The researchers note that even seemingly disparate variables can demonstrate unexpected correlations, prompting us to ponder the interconnectedness of seemingly unrelated phenomena. This echoes our own discovery of the peculiar link between Democrat votes in Alabama and LPG consumption in Kyrgyzstan – talk about reaching across continents for a political-chemical bond!
Furthermore, "Doe and Jones' Exploration of Energy Consumption Trends Across Borders" draws attention to the interconnected nature of global energy consumption patterns. The authors discuss how factors such as economic development, international trade, and geopolitical changes can influence energy usage in distant regions. Little did they know that their research would indirectly inspire our investigation into the whimsical dance between political allegiance and LPG consumption.
Now, let's not forget the influential works of renowned non-fiction authors such as "The Power of Habit" by Charles Duhigg and "Freakonomics" by Steven D. Levitt and Stephen J. Dubner. These thought-provoking books delve into the intricate web of human behavior and the underlying forces that shape our decisions. They remind us that beneath the surface of seemingly unrelated events, there may be a hidden thread connecting them – much like the intertwined fate of Senate votes in Alabama and LPG usage in Kyrgyzstan.
On the fictional side of the spectrum, "Cloud Atlas" by David Mitchell and "The Alchemist" by Paulo Coelho take readers on journeys that intertwine seemingly unrelated lives and events. These masterpieces of storytelling emphasize the power of interconnectedness and the ripple effect of individual actions. Who knew that our statistical analysis would echo the themes of these captivating tales, shining a light on the unexpected interplay between political choices and energy consumption half a world away?
In the world of board games, "Ticket to Ride" and "Settlers of Catan" epitomize the intertwining of strategy, resource management, and unexpected connections. These games underscore the notion that strategic decisions in one area can have unforeseen consequences in another. Similarly, our findings highlight the curious interdependence of political dynamics and energy utilization, showing that statistical patterns can be as surprising as rolling a double six when aiming for victory.
As we navigate the labyrinth of literature and scholarly insights, it becomes evident that the landscape of human behavior and societal phenomena is as unpredictable as a roll of the dice. Our discovery of the intriguing correlation between Democrat votes for Senators in Alabama and LPG consumption in Kyrgyzstan stands as a testament to the delightful eccentricities that emerge when data analysis meets serendipitous discovery. It's as if statistical analysis has a "punny" bone, leading us to uncover correlations that are as unexpected as they are enchanting.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the methodology section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the methodology section of an academic research paper presenting the findings of the connection between Democrat votes for Senators in Alabama and Liquefied petroleum gas used in Kyrgyzstan. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
Your research team collected data from all across the internet, but mostly just used information from MIT Election Data and Science Lab, Harvard Dataverse and Energy Information Administration . You used data from 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]]
Democratic Gas: Unearthing the Curious Correlation between Alabama Senatorial Votes and LPG Consumption in Kyrgyzstan
[[ABSTRACT]]
In this paper, we delve into the unlikely connection between the voting patterns of Alabama residents in senatorial elections and the consumption of liquefied petroleum gas (LPG) in the faraway land of Kyrgyzstan. Our study draws from extensive data sources including the MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration to unravel this curious correlation.
Evaluating data from 1992 to 2020, we unearthed a surprising correlation coefficient of 0.9034021 and a statistically significant p-value of less than 0.01. The results indicate a remarkably strong positive association between the percentage of Democrat votes for Senators in Alabama and the quantity of LPG used in Kyrgyzstan. It's as if these two seemingly unrelated entities are connected by an invisible thread, or should we say, a gas pipe?
It turns out that while Alabamians were casting their ballots, LPG consumption in Kyrgyzstan was quietly mirroring their political preferences. Who would have thought that the political landscape in the Deep South could bear such an uncanny resemblance to the gas consumption habits in a distant Central Asian country? It seems like the saying "gas, grass, or ass—nobody rides for free" applies not only to hitchhiking but also to statistical relationships. Indeed, the world is full of surprises, even in the most unexpected places.
[[INTRODUCTION]]
As the saying goes, "May the mass times acceleration be with you," and we, as researchers, have adhered to this maxim by venturing into the uncharted territory of statistical exploration. In this peculiar study, we set out to investigate the connection between the voting behavior of Alabamians in senatorial elections and the utilization of liquefied petroleum gas (LPG) in the distant and enigmatic land of Kyrgyzstan.
At first blush, one might wonder what correlation could possibly exist between the political leanings of Southern voters and the fuel choices of a Central Asian nation. However, much like a chemist seeking the perfect reaction, we forged ahead in our quest to unveil this surprising relationship. One might say we were driven by curiosity, but we prefer to think of it as a "gas" for discovery – pun intended.
Our adventure through the thickets of data, spanning the years 1992 to 2020, revealed a correlation coefficient of 0.9034021 and a p-value of less than 0.01, both of which left us rather giddy. In other words, we stumbled upon a statistical rapport akin to that of two long-lost friends reuniting after decades apart. It's almost as if the votes in Alabama were whispering, "LPG, I am your father" to the fuel usage in Kyrgyzstan. Our findings proved that, in the world of data analysis, truth can be stranger than fiction.
It's worth noting that this unexpected nexus between the political and energy realms could have far-reaching implications. Just as a spark can ignite a Bunsen burner, our discovery may set ablaze a new line of inquiry in the world of interdisciplinary studies. After all, who wouldn't be intrigued by the thought of a political decision in the Cotton State casting ripples across the gas pipelines of a region nestled in the heart of the Silk Road? It's a testament to the power of statistical analysis – sometimes, truth is indeed stranger than fiction, and you don't need a degree in physics to appreciate the "LPG attraction" in our findings.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To untangle the mysterious web of statistical synchronicity between Democrat votes for Senators in Alabama and the consumption of liquefied petroleum gas (LPG) in Kyrgyzstan, our research team employed some unconventional yet rigorous methods, akin to conducting an experiment in the laboratory of the universe. We gathered granular data from the MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, creating a metaphorical "mashup" of information that was as flavorful as a scientific stew simmering over a Bunsen burner.
First, to measure Democrat votes for Senators in Alabama, we dug deep into historical electoral data as if we were prospectors seeking a goldmine of political preferences. By meticulously examining voting records, we dissected the state's electoral landscape over the years, identifying trends and fluctuations with the precision of a surgeon wielding a scalpel. We then converted this complex electoral tapestry into quantitative variables, categorizing them based on electoral districts and time periods. This process was as intricate as a clockmaker tinkering with the gears of time, and that's no "winding" statement!
Simultaneously, our team delved into the realm of LPG consumption in Kyrgyzstan, mining data from the Energy Information Administration with the fervor of adventurers unearthing ancient artifacts. We cataloged the quantity of LPG consumed within Kyrgyzstan's borders, examining its consumption patterns over our specified time frame. This meticulous excavation of data was akin to embarking on an archaeological dig, uncovering clues from the annals of energy consumption as if we were deciphering hieroglyphs to reveal the secrets of a forgotten civilization.
With our treasure trove of data in hand, we then released the statistical hounds of war, utilizing correlation and regression analyses to tease out the intriguing relationship between these seemingly disparate variables. Our statistical models were as precise as a sharpshooter's aim, tracking the movements of these variables with the precision of a GPS guiding travelers through uncharted territories.
Additionally, to ensure the robustness of our findings, we employed Bayesian inference methods to further scrutinize the strength and significance of the unearthed correlation. Our approach was as inquisitive as a detective investigating a peculiar case, turning every statistical stone to uncover the hidden truth lurking within the numbers.
Finally, we subjected our results to a battery of sensitivity analyses, testing the resilience of our findings against various hypothetical scenarios and outliers. This process was akin to stress-testing a bridge to ascertain its structural integrity, ensuring that our conclusions stood firm against any perceived "cracks" in the data.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the results section of an academic research paper. You speak in the past tense (you found...).
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the results section of an academic research paper presenting the findings of the connection between Democrat votes for Senators in Alabama and Liquefied petroleum gas used in Kyrgyzstan. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
Your research team collected data from all across the internet, but mostly just used information from MIT Election Data and Science Lab, Harvard Dataverse and Energy Information Administration .
For the time period 1992 to 2020, you found a correlation 0.9034021, r-squared of 0.8161353, 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]]
Democratic Gas: Unearthing the Curious Correlation between Alabama Senatorial Votes and LPG Consumption in Kyrgyzstan
[[ABSTRACT]]
In this paper, we delve into the unlikely connection between the voting patterns of Alabama residents in senatorial elections and the consumption of liquefied petroleum gas (LPG) in the faraway land of Kyrgyzstan. Our study draws from extensive data sources including the MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration to unravel this curious correlation.
Evaluating data from 1992 to 2020, we unearthed a surprising correlation coefficient of 0.9034021 and a statistically significant p-value of less than 0.01. The results indicate a remarkably strong positive association between the percentage of Democrat votes for Senators in Alabama and the quantity of LPG used in Kyrgyzstan. It's as if these two seemingly unrelated entities are connected by an invisible thread, or should we say, a gas pipe?
It turns out that while Alabamians were casting their ballots, LPG consumption in Kyrgyzstan was quietly mirroring their political preferences. Who would have thought that the political landscape in the Deep South could bear such an uncanny resemblance to the gas consumption habits in a distant Central Asian country? It seems like the saying "gas, grass, or ass—nobody rides for free" applies not only to hitchhiking but also to statistical relationships. Indeed, the world is full of surprises, even in the most unexpected places.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
As the saying goes, "May the mass times acceleration be with you," and we, as researchers, have adhered to this maxim by venturing into the uncharted territory of statistical exploration. In this peculiar study, we set out to investigate the connection between the voting behavior of Alabamians in senatorial elections and the utilization of liquefied petroleum gas (LPG) in the distant and enigmatic land of Kyrgyzstan.
At first blush, one might wonder what correlation could possibly exist between the political leanings of Southern voters and the fuel choices of a Central Asian nation. However, much like a chemist seeking the perfect reaction, we forged ahead in our quest to unveil this surprising relationship. One might say we were driven by curiosity, but we prefer to think of it as a "gas" for discovery – pun intended.
Our adventure through the thickets of data, spanning the years 1992 to 2020, revealed a correlation coefficient of 0.9034021 and a p-value of less than 0.01, both of which left us rather giddy. In other words, we stumbled upon a statistical rapport akin to that of two long-lost friends reuniting after decades apart. It's almost as if the votes in Alabama were whispering, "LPG, I am your father" to the fuel usage in Kyrgyzstan. Our findings proved that, in the world of data analysis, truth can be stranger than fiction.
It's worth noting that this unexpected nexus between the political and energy realms could have far-reaching implications. Just as a spark can ignite a Bunsen burner, our discovery may set ablaze a new line of inquiry in the world of interdisciplinary studies. After all, who wouldn't be intrigued by the thought of a political decision in the Cotton State casting ripples across the gas pipelines of a region nestled in the heart of the Silk Road? It's a testament to the power of statistical analysis – sometimes, truth is indeed stranger than fiction, and you don't need a degree in physics to appreciate the "LPG attraction" in our findings.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
We found a striking association between the percentage of Democrat votes for Senators in Alabama and the consumption of liquefied petroleum gas (LPG) in Kyrgyzstan from 1992 to 2020. The correlation coefficient of 0.9034021 left us in a gaseous state of excitement, while the r-squared value of 0.8161353 enhanced our confidence in this unexpected relationship. And with a p-value of less than 0.01, we can confidently say that this correlation is not just a statistical fluke – it's the real deal.
Fig.1 showcases a scatterplot that graphically illustrates the robust positive correlation between these seemingly disconnected variables. The points on the plot are so closely packed together that they almost seem to be holding hands, much like long-lost statistical twins separated at birth. It's a visual representation of this statistical bromance that transcends geographical and political boundaries.
Our findings have important implications beyond the realm of research. They suggest that the political preferences of Alabamians may have an invisible influence on the consumption patterns of LPG in Kyrgyzstan, almost like a cosmic tug-of-war between the red and blue gravitational forces, except in this case, it's a gaseous competition.
Much like a good dad joke, our results remind us that sometimes, the most unexpected connections can leave us pleasantly surprised. It's a testament to the wonders of statistical analysis and the serendipitous nature of research, where even the most curious correlations can emerge from the depths of data. As we continue to unravel the mysteries of the statistical universe, one thing is for certain – there's always more to discover, even in the most unexpected places. And as researchers, we're here to connect the dots, no matter how far apart they may seem.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the discussion section of an academic research paper presenting the findings of the connection between Democrat votes for Senators in Alabama and Liquefied petroleum gas used in Kyrgyzstan. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
Limit your response to 500 tokens.
Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.
Do not write a conclusion. I will add a conclusion after this.
[[TITLE]]
Democratic Gas: Unearthing the Curious Correlation between Alabama Senatorial Votes and LPG Consumption in Kyrgyzstan
[[ABSTRACT]]
In this paper, we delve into the unlikely connection between the voting patterns of Alabama residents in senatorial elections and the consumption of liquefied petroleum gas (LPG) in the faraway land of Kyrgyzstan. Our study draws from extensive data sources including the MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration to unravel this curious correlation.
Evaluating data from 1992 to 2020, we unearthed a surprising correlation coefficient of 0.9034021 and a statistically significant p-value of less than 0.01. The results indicate a remarkably strong positive association between the percentage of Democrat votes for Senators in Alabama and the quantity of LPG used in Kyrgyzstan. It's as if these two seemingly unrelated entities are connected by an invisible thread, or should we say, a gas pipe?
It turns out that while Alabamians were casting their ballots, LPG consumption in Kyrgyzstan was quietly mirroring their political preferences. Who would have thought that the political landscape in the Deep South could bear such an uncanny resemblance to the gas consumption habits in a distant Central Asian country? It seems like the saying "gas, grass, or ass—nobody rides for free" applies not only to hitchhiking but also to statistical relationships. Indeed, the world is full of surprises, even in the most unexpected places.
[[LITERATURE REVIEW]]
In "Smith et al.'s Analysis of Statewide Electoral Trends," the authors find a strong relationship between political party affiliations and regional voting patterns in the United States. The researchers note that even seemingly disparate variables can demonstrate unexpected correlations, prompting us to ponder the interconnectedness of seemingly unrelated phenomena. This echoes our own discovery of the peculiar link between Democrat votes in Alabama and LPG consumption in Kyrgyzstan – talk about reaching across continents for a political-chemical bond!
Furthermore, "Doe and Jones' Exploration of Energy Consumption Trends Across Borders" draws attention to the interconnected nature of global energy consumption patterns. The authors discuss how factors such as economic development, international trade, and geopolitical changes can influence energy usage in distant regions. Little did they know that their research would indirectly inspire our investigation into the whimsical dance between political allegiance and LPG consumption.
Now, let's not forget the influential works of renowned non-fiction authors such as "The Power of Habit" by Charles Duhigg and "Freakonomics" by Steven D. Levitt and Stephen J. Dubner. These thought-provoking books delve into the intricate web of human behavior and the underlying forces that shape our decisions. They remind us that beneath the surface of seemingly unrelated events, there may be a hidden thread connecting them – much like the intertwined fate of Senate votes in Alabama and LPG usage in Kyrgyzstan.
On the fictional side of the spectrum, "Cloud Atlas" by David Mitchell and "The Alchemist" by Paulo Coelho take readers on journeys that intertwine seemingly unrelated lives and events. These masterpieces of storytelling emphasize the power of interconnectedness and the ripple effect of individual actions. Who knew that our statistical analysis would echo the themes of these captivating tales, shining a light on the unexpected interplay between political choices and energy consumption half a world away?
In the world of board games, "Ticket to Ride" and "Settlers of Catan" epitomize the intertwining of strategy, resource management, and unexpected connections. These games underscore the notion that strategic decisions in one area can have unforeseen consequences in another. Similarly, our findings highlight the curious interdependence of political dynamics and energy utilization, showing that statistical patterns can be as surprising as rolling a double six when aiming for victory.
As we navigate the labyrinth of literature and scholarly insights, it becomes evident that the landscape of human behavior and societal phenomena is as unpredictable as a roll of the dice. Our discovery of the intriguing correlation between Democrat votes for Senators in Alabama and LPG consumption in Kyrgyzstan stands as a testament to the delightful eccentricities that emerge when data analysis meets serendipitous discovery. It's as if statistical analysis has a "punny" bone, leading us to uncover correlations that are as unexpected as they are enchanting.
[[RESULTS]]
We found a striking association between the percentage of Democrat votes for Senators in Alabama and the consumption of liquefied petroleum gas (LPG) in Kyrgyzstan from 1992 to 2020. The correlation coefficient of 0.9034021 left us in a gaseous state of excitement, while the r-squared value of 0.8161353 enhanced our confidence in this unexpected relationship. And with a p-value of less than 0.01, we can confidently say that this correlation is not just a statistical fluke – it's the real deal.
Fig.1 showcases a scatterplot that graphically illustrates the robust positive correlation between these seemingly disconnected variables. The points on the plot are so closely packed together that they almost seem to be holding hands, much like long-lost statistical twins separated at birth. It's a visual representation of this statistical bromance that transcends geographical and political boundaries.
Our findings have important implications beyond the realm of research. They suggest that the political preferences of Alabamians may have an invisible influence on the consumption patterns of LPG in Kyrgyzstan, almost like a cosmic tug-of-war between the red and blue gravitational forces, except in this case, it's a gaseous competition.
Much like a good dad joke, our results remind us that sometimes, the most unexpected connections can leave us pleasantly surprised. It's a testament to the wonders of statistical analysis and the serendipitous nature of research, where even the most curious correlations can emerge from the depths of data. As we continue to unravel the mysteries of the statistical universe, one thing is for certain – there's always more to discover, even in the most unexpected places. And as researchers, we're here to connect the dots, no matter how far apart they may seem.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
Our findings provide compelling evidence of a robust positive correlation between Democrat votes for Senators in Alabama and the consumption of liquefied petroleum gas (LPG) in Kyrgyzstan. It seems that political leanings in the Heart of Dixie hold a surreal sway over the gas habits in the mountains of Central Asia. Who would have thought that the political landscape in Alabama could spark such a fiery connection halfway across the globe? It's almost like witnessing a political chi(chi)-gan(istan) phenomenon unfold before our very eyes.
The literature review paved an unexpected path to our discovery, demonstrating the interconnectedness of seemingly unrelated variables. Smith et al.'s elucidation of political party affiliations and voting patterns in the United States couldn't have prepared us for the transcendence of these political preferences across oceans and continents. It's as if political affiliations have now gone global – a political "gas-mopolitan" world, if you will.
Doe and Jones' exploration of energy consumption trends across borders inadvertently led us to uncover this quirky connection between political choices and LPG usage. It's a vivid reminder that in the world of statistical analysis, expect the unexpected, and in the words of Charles Duhigg, "The Power of Habit" indeed extends far beyond what we initially perceive.
Our results not only bolster the existing literature but also highlight the whimsical nature of statistical relationships. Indeed, statistical analysis can be as surprising as finding a math joke in a room full of scientists – it adds up unexpectedly. Our findings unveil that statistical patterns transcend the conventional boundaries of reason, much like a good pun transcends the conventional bounds of humor.
Moving forward, our research challenges us to explore the underlying mechanisms that link Democrat votes in Alabama to LPG consumption in Kyrgyzstan. Does it involve a secret society of politically-charged gas traders, or is it simply a matter of cosmic coincidence? Regardless, the results of our study underscore the delightfully unexpected nature of statistical relationships and pave the way for further investigation into the mystical realm of political and energy intertwining.
As we delve deeper into the statistical universe, we are reminded that in research, as in life, expect the unexpected. Our findings shed light on a correlation that defies conventional logic, showing that even in the most remote corners of the world, statistical surprises await. It's a testament to the enduring curiosity of research and the enthralling saga of scientific discovery, where statistical correlations can be as surprising as a well-placed punchline in a room full of scientists.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the discussion section of goofy academic research papers that sounds like it belongs based on the title and abstract provided.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up a short conclusion of an academic research paper presenting the findings of the connection between Democrat votes for Senators in Alabama and Liquefied petroleum gas used in Kyrgyzstan. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.
Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Democratic Gas: Unearthing the Curious Correlation between Alabama Senatorial Votes and LPG Consumption in Kyrgyzstan
[[ABSTRACT]]
In this paper, we delve into the unlikely connection between the voting patterns of Alabama residents in senatorial elections and the consumption of liquefied petroleum gas (LPG) in the faraway land of Kyrgyzstan. Our study draws from extensive data sources including the MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration to unravel this curious correlation.
Evaluating data from 1992 to 2020, we unearthed a surprising correlation coefficient of 0.9034021 and a statistically significant p-value of less than 0.01. The results indicate a remarkably strong positive association between the percentage of Democrat votes for Senators in Alabama and the quantity of LPG used in Kyrgyzstan. It's as if these two seemingly unrelated entities are connected by an invisible thread, or should we say, a gas pipe?
It turns out that while Alabamians were casting their ballots, LPG consumption in Kyrgyzstan was quietly mirroring their political preferences. Who would have thought that the political landscape in the Deep South could bear such an uncanny resemblance to the gas consumption habits in a distant Central Asian country? It seems like the saying "gas, grass, or ass—nobody rides for free" applies not only to hitchhiking but also to statistical relationships. Indeed, the world is full of surprises, even in the most unexpected places.
[[INTRDUCTION]]
As the saying goes, "May the mass times acceleration be with you," and we, as researchers, have adhered to this maxim by venturing into the uncharted territory of statistical exploration. In this peculiar study, we set out to investigate the connection between the voting behavior of Alabamians in senatorial elections and the utilization of liquefied petroleum gas (LPG) in the distant and enigmatic land of Kyrgyzstan.
At first blush, one might wonder what correlation could possibly exist between the political leanings of Southern voters and the fuel choices of a Central Asian nation. However, much like a chemist seeking the perfect reaction, we forged ahead in our quest to unveil this surprising relationship. One might say we were driven by curiosity, but we prefer to think of it as a "gas" for discovery – pun intended.
Our adventure through the thickets of data, spanning the years 1992 to 2020, revealed a correlation coefficient of 0.9034021 and a p-value of less than 0.01, both of which left us rather giddy. In other words, we stumbled upon a statistical rapport akin to that of two long-lost friends reuniting after decades apart. It's almost as if the votes in Alabama were whispering, "LPG, I am your father" to the fuel usage in Kyrgyzstan. Our findings proved that, in the world of data analysis, truth can be stranger than fiction.
It's worth noting that this unexpected nexus between the political and energy realms could have far-reaching implications. Just as a spark can ignite a Bunsen burner, our discovery may set ablaze a new line of inquiry in the world of interdisciplinary studies. After all, who wouldn't be intrigued by the thought of a political decision in the Cotton State casting ripples across the gas pipelines of a region nestled in the heart of the Silk Road? It's a testament to the power of statistical analysis – sometimes, truth is indeed stranger than fiction, and you don't need a degree in physics to appreciate the "LPG attraction" in our findings.
[[RESULTS]]
We found a striking association between the percentage of Democrat votes for Senators in Alabama and the consumption of liquefied petroleum gas (LPG) in Kyrgyzstan from 1992 to 2020. The correlation coefficient of 0.9034021 left us in a gaseous state of excitement, while the r-squared value of 0.8161353 enhanced our confidence in this unexpected relationship. And with a p-value of less than 0.01, we can confidently say that this correlation is not just a statistical fluke – it's the real deal.
Fig.1 showcases a scatterplot that graphically illustrates the robust positive correlation between these seemingly disconnected variables. The points on the plot are so closely packed together that they almost seem to be holding hands, much like long-lost statistical twins separated at birth. It's a visual representation of this statistical bromance that transcends geographical and political boundaries.
Our findings have important implications beyond the realm of research. They suggest that the political preferences of Alabamians may have an invisible influence on the consumption patterns of LPG in Kyrgyzstan, almost like a cosmic tug-of-war between the red and blue gravitational forces, except in this case, it's a gaseous competition.
Much like a good dad joke, our results remind us that sometimes, the most unexpected connections can leave us pleasantly surprised. It's a testament to the wonders of statistical analysis and the serendipitous nature of research, where even the most curious correlations can emerge from the depths of data. As we continue to unravel the mysteries of the statistical universe, one thing is for certain – there's always more to discover, even in the most unexpected places. And as researchers, we're here to connect the dots, no matter how far apart they may seem.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, our research has illuminated a most unexpected and positively gaseous relationship between the voting patterns of Alabamians and the consumption of LPG in Kyrgyzstan. The robust correlation coefficient of 0.9034021 and the statistically significant p-value has left us pleasantly winded and marveling at the strange ways of statistical serendipity. It's as if statistical analysis is telling us, "You can't put a limit on anything. The more you dream, the farther you get." Just like a helium balloon, our findings have floated to unexpected heights and lightened the atmosphere.
As we reflect on our journey through the maze of data, we're reminded of a classic dad joke: "I told my wife she should embrace her mistakes. She gave me a hug." Similarly, our research has embraced the quirks and surprises of statistical analysis, reminding us that the world of research is full of unexpected connections that can't always be neatly tabulated on a spreadsheet.
Furthermore, our results suggest that the subtle gravitational pull of political preferences may indeed extend beyond borders and impact the energy choices of a world away. It's a reminder that statistical analysis can often bridge the gaps between seemingly unrelated variables and unveil truths that defy conventional wisdom. To quote a wise scientist, "Research is to see what everybody else has seen and to think what nobody else has thought."
But in the realm of this peculiar correlation, we can confidently assert that no further research is needed. We're content to let this statistical bromance between Alabama and Kyrgyzstan remain an intriguing enigma, a statistical whisper that continues to waft through the winds of scholarly curiosity. We'll leave you with a parting pun: "I used to play piano by ear, but now I use my hands." Similarly, our research has given unexpected harmony to these curious variables, and any further investigation might just fall flat.
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 Democratic Gas: Unearthing the Curious Correlation between Alabama Senatorial Votes and LPG Consumption in Kyrgyzstan. Respond only with the name of a fictional academic journal.
ChatGPT:
Journal of Comparative Political Quirkiness
Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of nonprofit research organizations and associations. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding nonprofit, academic, or scientific association or organization that would sponsor research that resulted in a paper entited Democratic Gas: Unearthing the Curious Correlation between Alabama Senatorial Votes and LPG Consumption in Kyrgyzstan. Respond only with the name of a fictional organization.
ChatGPT:
The Society for Interdisciplinary Political Propane 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 Democratic Gas: Unearthing the Curious Correlation between Alabama Senatorial Votes and LPG Consumption in Kyrgyzstan with an abstract of In this paper, we delve into the unlikely connection between the voting patterns of Alabama residents in senatorial elections and the consumption of liquefied petroleum gas (LPG) in the faraway land of Kyrgyzstan. Our study draws from extensive data sources including the MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration to unravel this curious correlation.
Evaluating data from 1992 to 2020, we unearthed a surprising correlation coefficient of 0.9034021 and a statistically significant p-value of less than 0.01. The results indicate a remarkably strong positive association between the percentage of Democrat votes for Senators in Alabama and the quantity of LPG used in Kyrgyzstan. It's as if these two seemingly unrelated entities are connected by an invisible thread, or should we say, a gas pipe?
It turns out that while Alabamians were casting their ballots, LPG consumption in Kyrgyzstan was quietly mirroring their political preferences. Who would have thought that the political landscape in the Deep South could bear such an uncanny resemblance to the gas consumption habits in a distant Central Asian country? It seems like the saying "gas, grass, or ass—nobody rides for free" applies not only to hitchhiking but also to statistical relationships. Indeed, the world is full of surprises, even in the most unexpected places.
ChatGPT:
voting patterns, Alabama resident, senatorial elections, liquefied petroleum gas consumption, Kyrgyzstan, correlation coefficient, MIT Election Data and Science Lab, Harvard Dataverse, Energy Information Administration, Democrat votes, statistically significant, political preferences, gas consumption habits, Central Asian country, statistical relationships
*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 Democratic Senators in AlabamaDetailed data title: Total number of votes cast for Federal Democrat Senate candidates in Alabama
Source: MIT Election Data and Science Lab, Harvard Dataverse
See what else correlates with Votes for Democratic Senators in Alabama
Liquefied petroleum gas used in Kyrgyzstan
Detailed data title: Volume of liquefied petroleum gas used consumed in Kyrgyzstan in millions of barrels per day
Source: Energy Information Administration
See what else correlates with Liquefied petroleum gas used in Kyrgyzstan
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 = 0.8161353 (Coefficient of determination)
This means 81.6% of the change in the one variable (i.e., Liquefied petroleum gas used in Kyrgyzstan) is predictable based on the change in the other (i.e., Votes for Democratic Senators in Alabama) over the 9 years from 1992 through 2020.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.00084. 0.0008383324046696105000000000
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 0.9 in 0.084% of random cases. Said differently, if you correlated 1,193 random variables Which I absolutely did.
with the same 8 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 8 because we have two variables measured over a period of 9 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, 0.98 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.
This one is a bit more complciated than the other calculations, but I include it because many people have been pushing for confidence intervals instead of p-value calculations (for example: NEJM. However, if you are dredging data, you can reliably find yourself in the 5%. That's my goal!
All values for the years included above: If I were being very sneaky, I could trim years from the beginning or end of the datasets to increase the correlation on some pairs of variables. I don't do that because there are already plenty of correlations in my database without monkeying with the years.
Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
| 1992 | 1996 | 1998 | 2002 | 2004 | 2008 | 2010 | 2016 | 2020 | |
| Votes for Democratic Senators in Alabama (Total votes) | 1022700 | 681651 | 474568 | 538878 | 595018 | 752391 | 515619 | 748709 | 920478 |
| Liquefied petroleum gas used in Kyrgyzstan (Million Barrels/Day) | 2.5 | 0.5 | 0.00428 | 0.225551 | 0.287706 | 0.288885 | 0.384072 | 1 | 1.39836 |
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.
- Y-axis doesn't start at zero: I truncated the Y-axes of the graph above. I also used a line graph, which makes the visual connection stand out more than it deserves.
Nothing against line graphs. They are great at telling a story when you have linear data! But visually it is deceptive because the only data is at the points on the graph, not the lines on the graph. In between each point, the data could have been doing anything. Like going for a random walk by itself!
Mathematically what I showed is true, but it is intentionally misleading. Below is the same chart but with both Y-axes starting at zero.
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([1022700,681651,474568,538878,595018,752391,515619,748709,920478,])
array_2 = np.array([2.5,0.5,0.00428,0.225551,0.287706,0.288885,0.384072,1,1.39836,])
array_1_name = "Votes for Democratic Senators in Alabama"
array_2_name = "Liquefied petroleum gas used in Kyrgyzstan"
# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)
# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)Reuseable content
You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.
For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."
When spoken, my last name is pronounced "vegan," like I don't eat meat.
Full license details.
For more on re-use permissions, or to get a signed release form, see tylervigen.com/permission.
Download images for these variables:
- High resolution line chart
The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.
If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.
Alternatively you can use a tool like Inkscape. - High resolution line chart, optimized for mobile
- Alternative high resolution line chart
- Scatterplot
- Portable line chart (png)
- Portable line chart (png), optimized for mobile
- Line chart for only Votes for Democratic Senators in Alabama
- Line chart for only Liquefied petroleum gas used in Kyrgyzstan
- AI-generated correlation image
- The spurious research paper: Democratic Gas: Unearthing the Curious Correlation between Alabama Senatorial Votes and LPG Consumption in Kyrgyzstan
I'm grateful for your review!
Correlation ID: 4922 · Black Variable ID: 26195 · Red Variable ID: 24611
