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Spurious correlation #4,396 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Votes for the Libertarian Presidential candidate in Georgia and the second variable is Liquefied petroleum gas used in Malta.  The chart goes from 1980 to 2020, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

As the support for the Libertarian candidate heated up in Georgia, it sparked a chain reaction leading to a surge in LPG usage in Malta. You could say that the candidate's campaign ignited a fiery passion for political change, inadvertently fueling the demand for LPG across the Atlantic. It seems like when it comes to this correlation, the heat was definitely on!

Model: dalle-3
Prompt: Prompt: Generate an image inspired by the specific scenes described using the style of a TIME magazine cover illustration. Depict a bustling polling station in Georgia with voters casting their ballots for the Libertarian presidential candidate. Show the sense of political fervor and energy in the air, perhaps with flags and banners. Across the ocean in Malta, illustrate a vibrant scene of households using LPG for cooking and heating, creating a warm and colorful atmosphere. Create a visual connection between the two locations, suggesting the idea of political support sparking an increased demand for LPG, symbolizing warmth on both sides of the Atlantic. The depiction should include only scenes, people, and objects, it should not include text or speech bubbles.
This image generation prompt was also generated by AI, using the following sequence:

Model: gpt-3.5-turbo-1106
System prompt: You select one of a few potential scene descriptors that seems to go along with the variables described. You respond only with the scene descriptions provided and say nothing else.
User prompt: Here are two variables: Votes for the Libertarian Presidential candidate in Georgia and Liquefied petroleum gas used in Malta. 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: Psychedelic A TIME magazine cover image A TIME magazine cover image An image that looks like it is a scene from 'Star Wars' Cute 2D animation
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 Votes for the Libertarian Presidential candidate in Georgia and Liquefied petroleum gas used in Malta, in the following situation: As the support for the Libertarian candidate heated up in Georgia, it sparked a chain reaction leading to a surge in LPG usage in Malta. You could say that the candidate's campaign ignited a fiery passion for political change, inadvertently fueling the demand for LPG across the Atlantic. It seems like when it comes to this correlation, the heat was definitely on!. Keep the description simple.
ChatGPT: In Georgia, a bustling polling station sees voters casting their ballots for the Libertarian presidential candidate. As the voting ignites a sense of political fervor, across the ocean in Malta, a colorful scene unfolds with households cooking and heating using LPG, creating a warm and vibrant atmosphere. The energized political support in Georgia seems to have sparked a chain reaction, fueling an increased demand for LPG in Malta, creating warmth on both sides of the Atlantic.

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: In Georgia, a bustling polling station sees voters casting their ballots for the Libertarian presidential candidate. As the voting ignites a sense of political fervor, across the ocean in Malta, a colorful scene unfolds with households cooking and heating using LPG, creating a warm and vibrant atmosphere. The energized political support in Georgia seems to have sparked a chain reaction, fueling an increased demand for LPG in Malta, creating warmth on both sides of the Atlantic. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Prompt: Generate an image inspired by the specific scenes described using the style of a TIME magazine cover illustration. Depict a bustling polling station in Georgia with voters casting their ballots for the Libertarian presidential candidate. Show the sense of political fervor and energy in the air, perhaps with flags and banners. Across the ocean in Malta, illustrate a vibrant scene of households using LPG for cooking and heating, creating a warm and colorful atmosphere. Create a visual connection between the two locations, suggesting the idea of political support sparking an increased demand for LPG, symbolizing warmth on both sides of the Atlantic.

*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.

Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in Votes for the Libertarian Presidential candidate in Georgia caused Liquefied petroleum gas used in Malta to increase. Include one good pun.

AI academic paper

(Because p < 0.01)
Libertarian Lovers and Propane Pals: Exploring the Link between Votes for the Libertarian Presidential candidate in Georgia and Liquefied Petroleum Gas Consumption in Malta

The Journal of Eccentric Economics and Unconventional Inquiries

Jan 2024

Reminder: This paper is AI-generated. Not real!
Quick note: This sequence is long and repetitive. That's how the prompt engineering works for this one. I manage the output in Python to format it into this PDF.




Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You write titles and abstracts of goofy academic research papers.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, and add unexpected twists in your writing.

Please draft the title and abstract of an academic research paper presenting the findings of the connection between Votes for the Libertarian Presidential candidate in Georgia and Liquefied petroleum gas used in Malta. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Make the title an alliteration.

Your research team used data from MIT Election Data and Science Lab, Harvard Dataverse and Energy Information Administration to assess this nagging question. You found a correlation coefficient of 0.9424236 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]]
Libertarian Lovers and Propane Pals: Exploring the Link between Votes for the Libertarian Presidential candidate in Georgia and Liquefied Petroleum Gas Consumption in Malta

[[ABSTRACT]]
This study delves into the curious correlation between votes for the Libertarian presidential candidate in the peachy state of Georgia and the consumption of Liquefied Petroleum Gas (LPG) on the sunny island of Malta. Utilizing data from the MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, we have set out to crack the enigmatic connection between these two seemingly unrelated entities. The findings reveal a robust correlation coefficient of 0.9424236 with p < 0.01 from the years 1980 to 2020.

It seems that while some may see Libertarians and propane as an odd pair, our research suggests they have more in common than meets the eye. In the spirit of statistical camaraderie, this paper aims to shed light on this unexpected relationship, and perhaps ignite some statistical curiosity amongst our peers.

Now, for the dad joke: What did the Libertarian say to the LPG tank? "You have the freedom to fuel my fire, but don't infringe upon my personal propane-ty!"


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the introduction section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the introduction section of an academic research paper presenting the findings of the connection between Votes for the Libertarian Presidential candidate in Georgia and Liquefied petroleum gas used in Malta. 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]]
Libertarian Lovers and Propane Pals: Exploring the Link between Votes for the Libertarian Presidential candidate in Georgia and Liquefied Petroleum Gas Consumption in Malta

[[ABSTRACT]]
This study delves into the curious correlation between votes for the Libertarian presidential candidate in the peachy state of Georgia and the consumption of Liquefied Petroleum Gas (LPG) on the sunny island of Malta. Utilizing data from the MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, we have set out to crack the enigmatic connection between these two seemingly unrelated entities. The findings reveal a robust correlation coefficient of 0.9424236 with p < 0.01 from the years 1980 to 2020.

It seems that while some may see Libertarians and propane as an odd pair, our research suggests they have more in common than meets the eye. In the spirit of statistical camaraderie, this paper aims to shed light on this unexpected relationship, and perhaps ignite some statistical curiosity amongst our peers.

Now, for the dad joke: What did the Libertarian say to the LPG tank? "You have the freedom to fuel my fire, but don't infringe upon my personal propane-ty!"

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

Quirky correlations and unexpected associations often pique the interest of researchers, and our current investigation is no exception. As we dive into the realms of statistical analysis, it's essential to recognize the erratic curiosity that propels our scientific endeavors. Though the relationship between votes for the Libertarian presidential candidate in Georgia and Liquefied Petroleum Gas (LPG) consumption in Malta may initially appear far-fetched, our findings suggest that there may be more to this enigmatic connection than initially meets the eye.

Now, to elucidate the intriguing interplay between these peculiar variables, let us begin by contemplating the nature of Libertarian ideology and the allure of propane. One might be inclined to ask: what common ground could these disparate entities possibly share? It's like trying to mix oil and water, but in a statistical sense.

Speaking of mixing, did you hear about the statistician who drowned in a lake with an average depth of just six inches? He unfortunately failed to account for the outliers! Now, back to our unlikely duo.

Libertarianism, with its emphasis on personal freedom and limited government intervention, represents a fervent devotion to individual liberties and autonomy. On the other hand, LPG, a clean and versatile source of energy, has a remarkable ability to fuel a wide array of domestic and industrial applications. Just like a good regression equation, these seemingly divergent elements may ultimately yield a surprising level of harmony.

And on that note, what did the Libertarian say when they saw the LPG consumption data? "Looks like I've got the gas to ignite a revolution…in statistical analysis, that is!"

The motivation behind this study is not merely to uncover an unexpected correlation, but also to underscore the importance of exploring unconventional relationships in data. By demonstrating the presence of a robust correlation coefficient of 0.9424236 (p < 0.01) from 1980 to 2020, our research aims to challenge preconceived notions and ignite curiosity in the wondrous world of statistical analysis.

So, as we embark on this journey of scholarly exploration, let us not dismiss the peculiar pairings and offbeat associations that may hold the key to unlocking the mysteries of the statistical universe. After all, as researchers, it's our duty to boldly go where no statistical analysis has gone before – even if it leads us to unexpected destinations, such as the unlikely affiliation between Libertarian lovers and propane pals.


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a literature review section of an academic research paper presenting the findings of the connection between Votes for the Libertarian Presidential candidate in Georgia and Liquefied petroleum gas used in Malta. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.

Make up the lorem and ipsum part, but make it sound related to the topic at hand.

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name a couple popular internet memes that are related to one of the topics.

Here is the title and abstract of the paper:
[[TITLE]]
Libertarian Lovers and Propane Pals: Exploring the Link between Votes for the Libertarian Presidential candidate in Georgia and Liquefied Petroleum Gas Consumption in Malta

[[ABSTRACT]]
This study delves into the curious correlation between votes for the Libertarian presidential candidate in the peachy state of Georgia and the consumption of Liquefied Petroleum Gas (LPG) on the sunny island of Malta. Utilizing data from the MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, we have set out to crack the enigmatic connection between these two seemingly unrelated entities. The findings reveal a robust correlation coefficient of 0.9424236 with p < 0.01 from the years 1980 to 2020.

It seems that while some may see Libertarians and propane as an odd pair, our research suggests they have more in common than meets the eye. In the spirit of statistical camaraderie, this paper aims to shed light on this unexpected relationship, and perhaps ignite some statistical curiosity amongst our peers.

Now, for the dad joke: What did the Libertarian say to the LPG tank? "You have the freedom to fuel my fire, but don't infringe upon my personal propane-ty!"

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
Quirky correlations and unexpected associations often pique the interest of researchers, and our current investigation is no exception. As we dive into the realms of statistical analysis, it's essential to recognize the erratic curiosity that propels our scientific endeavors. Though the relationship between votes for the Libertarian presidential candidate in Georgia and Liquefied Petroleum Gas (LPG) consumption in Malta may initially appear far-fetched, our findings suggest that there may be more to this enigmatic connection than initially meets the eye.
Now, to elucidate the intriguing interplay between these peculiar variables, let us begin by contemplating the nature of Libertarian ideology and the allure of propane. One might be inclined to ask: what common ground could these disparate entities possibly share? It's like trying to mix oil and water, but in a statistical sense.
Speaking of mixing, did you hear about the statistician who drowned in a lake with an average depth of just six inches? He unfortunately failed to account for the outliers! Now, back to our unlikely duo.
Libertarianism, with its emphasis on personal freedom and limited government intervention, represents a fervent devotion to individual liberties and autonomy. On the other hand, LPG, a clean and versatile source of energy, has a remarkable ability to fuel a wide array of domestic and industrial applications. Just like a good regression equation, these seemingly divergent elements may ultimately yield a surprising level of harmony.
And on that note, what did the Libertarian say when they saw the LPG consumption data? "Looks like I've got the gas to ignite a revolution…in statistical analysis, that is!"
The motivation behind this study is not merely to uncover an unexpected correlation, but also to underscore the importance of exploring unconventional relationships in data. By demonstrating the presence of a robust correlation coefficient of 0.9424236 (p < 0.01) from 1980 to 2020, our research aims to challenge preconceived notions and ignite curiosity in the wondrous world of statistical analysis.
So, as we embark on this journey of scholarly exploration, let us not dismiss the peculiar pairings and offbeat associations that may hold the key to unlocking the mysteries of the statistical universe. After all, as researchers, it's our duty to boldly go where no statistical analysis has gone before – even if it leads us to unexpected destinations, such as the unlikely affiliation between Libertarian lovers and propane pals.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

In their seminal work, Smith et al. (2015) explored the complex landscape of political voting behavior in the United States, uncovering intriguing patterns in the support for third-party candidates, including the Libertarian Party. The authors find that the appeal of Libertarian ideology extends beyond traditional party lines, attracting a diverse cohort of voters with its emphasis on individual freedom and limited government intervention. The study, however, did not venture into the realm of unexpected correlations and unlikely bedfellows, such as the connection between Libertarian enthusiasts and the consumption of Liquefied Petroleum Gas (LPG).

Doe and Jones (2018) delved into the environmental and economic implications of LPG consumption in small island nations, shedding light on the significance of this energy source in Malta. Their research highlighted the versatility and efficiency of LPG, underscoring its role in reducing greenhouse gas emissions and meeting the energy needs of the island's populace. Despite their comprehensive analysis, the authors did not venture into the uncharted territory of statistical relationships with political voting preferences.

However, as we transition from the realm of serious scholarly work to the realm of popular culture and fiction, it is imperative to acknowledge the potential for unexpected inspiration and curious parallels. In "The Theory of Propane and Libertarianism" by John Doe, an unconventional narrative intertwines the world of political ideologies with the fiery passion of propane enthusiasts. Although a work of fiction, the novel playfully explores the notion of Libertarian aficionados finding common ground with proponents of clean energy, presenting an amusing yet thought-provoking take on the unexpected connections that permeate our world.

On the more factual side, "The Energy Chronicles" by Samantha Smith presents a comprehensive examination of global energy trends, emphasizing the roles of alternative fuels and their impact on societal dynamics. While the book primarily focuses on broader energy shifts, it inadvertently sets the stage for contemplating the peculiar intersection of political affiliations and energy consumption, prompting readers to ponder the whimsical juxtaposition of Libertarian votes and LPG usage.

Now, as we shift toward the realm of internet phenomena, it is impossible to overlook the ubiquitous presence of memes in contemporary discourse. Memes such as the "Propane Enthusiast Pepe" and the "Libertarian Larry" have permeated online communities, humorously depicting the idiosyncrasies of propane aficionados and proponents of libertarian ideals. These internet creations, while lighthearted in nature, underscore the cultural permeation of both libertarianism and propane enthusiasm, offering a comedic lens through which to view the unexpected confluence of these two entities.

In conclusion, as we consider the diverse array of literature and cultural artifacts encompassing the realm of Libertarian votes in Georgia and LPG usage in Malta, one cannot help but appreciate the eclectic tapestry of influences that shape our understanding of this peculiar correlation. With a nod to both scholarly pursuits and whimsical inspirations, we stand poised to unravel the enigmatic link between Libertarian lovers and propane pals, armed with statistical rigor and perhaps a dash of lighthearted humor.

Speaking of statistical rigor, did you hear about the statistician who fell asleep while driving? He couldn't decide whether to use a z-test or a t-test in that situation!


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the methodology section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the methodology section of an academic research paper presenting the findings of the connection between Votes for the Libertarian Presidential candidate in Georgia and Liquefied petroleum gas used in Malta. 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 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]]
Libertarian Lovers and Propane Pals: Exploring the Link between Votes for the Libertarian Presidential candidate in Georgia and Liquefied Petroleum Gas Consumption in Malta

[[ABSTRACT]]
This study delves into the curious correlation between votes for the Libertarian presidential candidate in the peachy state of Georgia and the consumption of Liquefied Petroleum Gas (LPG) on the sunny island of Malta. Utilizing data from the MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, we have set out to crack the enigmatic connection between these two seemingly unrelated entities. The findings reveal a robust correlation coefficient of 0.9424236 with p < 0.01 from the years 1980 to 2020.

It seems that while some may see Libertarians and propane as an odd pair, our research suggests they have more in common than meets the eye. In the spirit of statistical camaraderie, this paper aims to shed light on this unexpected relationship, and perhaps ignite some statistical curiosity amongst our peers.

Now, for the dad joke: What did the Libertarian say to the LPG tank? "You have the freedom to fuel my fire, but don't infringe upon my personal propane-ty!"

[[INTRODUCTION]]
Quirky correlations and unexpected associations often pique the interest of researchers, and our current investigation is no exception. As we dive into the realms of statistical analysis, it's essential to recognize the erratic curiosity that propels our scientific endeavors. Though the relationship between votes for the Libertarian presidential candidate in Georgia and Liquefied Petroleum Gas (LPG) consumption in Malta may initially appear far-fetched, our findings suggest that there may be more to this enigmatic connection than initially meets the eye.
Now, to elucidate the intriguing interplay between these peculiar variables, let us begin by contemplating the nature of Libertarian ideology and the allure of propane. One might be inclined to ask: what common ground could these disparate entities possibly share? It's like trying to mix oil and water, but in a statistical sense.
Speaking of mixing, did you hear about the statistician who drowned in a lake with an average depth of just six inches? He unfortunately failed to account for the outliers! Now, back to our unlikely duo.
Libertarianism, with its emphasis on personal freedom and limited government intervention, represents a fervent devotion to individual liberties and autonomy. On the other hand, LPG, a clean and versatile source of energy, has a remarkable ability to fuel a wide array of domestic and industrial applications. Just like a good regression equation, these seemingly divergent elements may ultimately yield a surprising level of harmony.
And on that note, what did the Libertarian say when they saw the LPG consumption data? "Looks like I've got the gas to ignite a revolution…in statistical analysis, that is!"
The motivation behind this study is not merely to uncover an unexpected correlation, but also to underscore the importance of exploring unconventional relationships in data. By demonstrating the presence of a robust correlation coefficient of 0.9424236 (p < 0.01) from 1980 to 2020, our research aims to challenge preconceived notions and ignite curiosity in the wondrous world of statistical analysis.
So, as we embark on this journey of scholarly exploration, let us not dismiss the peculiar pairings and offbeat associations that may hold the key to unlocking the mysteries of the statistical universe. After all, as researchers, it's our duty to boldly go where no statistical analysis has gone before – even if it leads us to unexpected destinations, such as the unlikely affiliation between Libertarian lovers and propane pals.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To investigate the curious correlation between votes for the Libertarian presidential candidate in Georgia and the consumption of Liquefied Petroleum Gas (LPG) in Malta, we utilized a multifaceted approach integrating statistical analysis, data collection, and some good ol' speculative reasoning. Our research team embarked on a virtual voyage across the landscape of digital data, scouring sources including the MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration. We amassed a treasure trove of data spanning the years 1980 to 2020, providing us with a rich tapestry of information ripe for statistical exploration.

In the spirit of scientific adventure, we set out to employ a comprehensive statistical toolkit to unravel the potential association between the voting patterns in the land of peaches and the propane consumption on the sunny shores of Malta. Our analysis involved a harmonious blend of descriptive statistics, correlation analysis, and regression modeling. This eclectic mix of statistical methods was akin to concocting a gourmet statistical stew, where each method contributed its unique flavor to the analytical pot.

Now for a quick statistical pun: I'm reading a book on anti-gravity. It's impossible to put down! But I digress – back to the methodology at hand.

To commence our investigation, we first garnered the historical voting data for Libertarian candidates in the state of Georgia. This data was meticulously procured from the MIT Election Data and Science Lab, allowing us to delve into the intricate patterns of Libertarian support over the decades. With a meticulous attention to detail worthy of a scientific Sherlock, we combed through the waves of electoral data, discerning the fluctuating tides of Libertarian preference in the peach state.

Simultaneously, our team ventured into the realm of energy statistics, specifically focusing on LPG consumption in the charming archipelago of Malta. We donned our metaphorical scuba gear, plunging into the depths of data from the Energy Information Administration, surfacing with a bounty of information regarding the ebb and flow of LPG usage in Malta. Like intrepid explorers navigating uncharted statistical waters, we meticulously charted the consumption trends of this versatile energy source.

Then, armed with this trove of data, we sought to establish a robust quantitative analysis encapsulating the potential association between these seemingly disparate variables. We swirled the statistical cauldron, brewing a heady concoction of correlation coefficients and regression models to unveil the intricate threads weaving our variables together. Our goal was not merely to uncover a statistical relationship but to showcase the potential for unusual pairings to emerge from the labyrinth of data.

In the midst of our statistical odyssey, we encountered occasional statistical anomalies, which prompted us to exercise careful scrutiny in data cleaning and outlier detection. Just as a vigilant parent keeps an eye on mischievous children, we diligently monitored the behavior of our data points, ensuring their adherence to statistical decorum.

So, armed with our arsenal of statistical methods and a dash of statistical whimsy, we ventured forth to probe the fascinating connection between Libertarian lovers and propane pals, leaving no statistical stone unturned in our quest for enlightenment.


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the results section of an academic research paper. You speak in the past tense (you found...).
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the results section of an academic research paper presenting the findings of the connection between Votes for the Libertarian Presidential candidate in Georgia and Liquefied petroleum gas used in Malta. 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 1980 to 2020, you found a correlation 0.9424236, r-squared of 0.8881622, 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]]
Libertarian Lovers and Propane Pals: Exploring the Link between Votes for the Libertarian Presidential candidate in Georgia and Liquefied Petroleum Gas Consumption in Malta

[[ABSTRACT]]
This study delves into the curious correlation between votes for the Libertarian presidential candidate in the peachy state of Georgia and the consumption of Liquefied Petroleum Gas (LPG) on the sunny island of Malta. Utilizing data from the MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, we have set out to crack the enigmatic connection between these two seemingly unrelated entities. The findings reveal a robust correlation coefficient of 0.9424236 with p < 0.01 from the years 1980 to 2020.

It seems that while some may see Libertarians and propane as an odd pair, our research suggests they have more in common than meets the eye. In the spirit of statistical camaraderie, this paper aims to shed light on this unexpected relationship, and perhaps ignite some statistical curiosity amongst our peers.

Now, for the dad joke: What did the Libertarian say to the LPG tank? "You have the freedom to fuel my fire, but don't infringe upon my personal propane-ty!"

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
Quirky correlations and unexpected associations often pique the interest of researchers, and our current investigation is no exception. As we dive into the realms of statistical analysis, it's essential to recognize the erratic curiosity that propels our scientific endeavors. Though the relationship between votes for the Libertarian presidential candidate in Georgia and Liquefied Petroleum Gas (LPG) consumption in Malta may initially appear far-fetched, our findings suggest that there may be more to this enigmatic connection than initially meets the eye.
Now, to elucidate the intriguing interplay between these peculiar variables, let us begin by contemplating the nature of Libertarian ideology and the allure of propane. One might be inclined to ask: what common ground could these disparate entities possibly share? It's like trying to mix oil and water, but in a statistical sense.
Speaking of mixing, did you hear about the statistician who drowned in a lake with an average depth of just six inches? He unfortunately failed to account for the outliers! Now, back to our unlikely duo.
Libertarianism, with its emphasis on personal freedom and limited government intervention, represents a fervent devotion to individual liberties and autonomy. On the other hand, LPG, a clean and versatile source of energy, has a remarkable ability to fuel a wide array of domestic and industrial applications. Just like a good regression equation, these seemingly divergent elements may ultimately yield a surprising level of harmony.
And on that note, what did the Libertarian say when they saw the LPG consumption data? "Looks like I've got the gas to ignite a revolution…in statistical analysis, that is!"
The motivation behind this study is not merely to uncover an unexpected correlation, but also to underscore the importance of exploring unconventional relationships in data. By demonstrating the presence of a robust correlation coefficient of 0.9424236 (p < 0.01) from 1980 to 2020, our research aims to challenge preconceived notions and ignite curiosity in the wondrous world of statistical analysis.
So, as we embark on this journey of scholarly exploration, let us not dismiss the peculiar pairings and offbeat associations that may hold the key to unlocking the mysteries of the statistical universe. After all, as researchers, it's our duty to boldly go where no statistical analysis has gone before – even if it leads us to unexpected destinations, such as the unlikely affiliation between Libertarian lovers and propane pals.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The results of our investigation into the association between votes for the Libertarian presidential candidate in Georgia and Liquefied Petroleum Gas (LPG) consumption in Malta unveil an intriguing connection that may leave some scratching their heads, much like solving a statistical puzzle with a twist. From 1980 to 2020, we observed a striking correlation coefficient of 0.9424236, an r-squared of 0.8881622, and a p-value less than 0.01. These findings indicate a robust and statistically significant relationship between the two distinct variables, much like finding unexpected commonalities between statistical distributions.

As we gaze upon the scatterplot in Figure 1 (not actually gazing at it, as I can't see it now, hehe), the data points coalesce into a clear pattern, reminiscent of how outlier data points sometimes stand out like a sore thumb in our analyses. This visual representation unmistakably underscores the strength of the association, further challenging the conventional wisdom that some correlations are merely statistical flukes.
Speaking of flukes, did you hear about the researcher who accidentally broke their microscope and thus could no longer see things at a nanoscopic level? Talk about a small oversight!
The robustness of the correlation between votes for the Libertarian candidate in Georgia and LPG consumption in Malta suggests that there may indeed be an underlying causal mechanism at play, perpetuating this unexpected statistical liaison. Like uncovering hidden patterns in a complex dataset, this finding sparks a sense of wonder and excitement in unraveling the mysteries of data relationships, reminding us of the surprise and delight we experience when uncovering unexpected results in research.

In conclusion, the statistical connection between support for the Libertarian candidate in Georgia and LPG consumption in Malta is a compelling reminder of the synchronicity that can exist between seemingly disparate variables. By shedding light on this intriguing association, we hope to inspire further exploration into the uncharted territories of statistical anomalies and fortify the scientific community's appreciation for the whimsical nature of statistical correlations. After all, as researchers, we must embrace the unexpected with open arms, much like a statistician embracing the concept of sampling variability in their data analysis endeavors.


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the discussion section of an academic research paper presenting the findings of the connection between Votes for the Libertarian Presidential candidate in Georgia and Liquefied petroleum gas used in Malta. 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]]
Libertarian Lovers and Propane Pals: Exploring the Link between Votes for the Libertarian Presidential candidate in Georgia and Liquefied Petroleum Gas Consumption in Malta

[[ABSTRACT]]
This study delves into the curious correlation between votes for the Libertarian presidential candidate in the peachy state of Georgia and the consumption of Liquefied Petroleum Gas (LPG) on the sunny island of Malta. Utilizing data from the MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, we have set out to crack the enigmatic connection between these two seemingly unrelated entities. The findings reveal a robust correlation coefficient of 0.9424236 with p < 0.01 from the years 1980 to 2020.

It seems that while some may see Libertarians and propane as an odd pair, our research suggests they have more in common than meets the eye. In the spirit of statistical camaraderie, this paper aims to shed light on this unexpected relationship, and perhaps ignite some statistical curiosity amongst our peers.

Now, for the dad joke: What did the Libertarian say to the LPG tank? "You have the freedom to fuel my fire, but don't infringe upon my personal propane-ty!"

[[LITERATURE REVIEW]]
In their seminal work, Smith et al. (2015) explored the complex landscape of political voting behavior in the United States, uncovering intriguing patterns in the support for third-party candidates, including the Libertarian Party. The authors find that the appeal of Libertarian ideology extends beyond traditional party lines, attracting a diverse cohort of voters with its emphasis on individual freedom and limited government intervention. The study, however, did not venture into the realm of unexpected correlations and unlikely bedfellows, such as the connection between Libertarian enthusiasts and the consumption of Liquefied Petroleum Gas (LPG).
Doe and Jones (2018) delved into the environmental and economic implications of LPG consumption in small island nations, shedding light on the significance of this energy source in Malta. Their research highlighted the versatility and efficiency of LPG, underscoring its role in reducing greenhouse gas emissions and meeting the energy needs of the island's populace. Despite their comprehensive analysis, the authors did not venture into the uncharted territory of statistical relationships with political voting preferences.
However, as we transition from the realm of serious scholarly work to the realm of popular culture and fiction, it is imperative to acknowledge the potential for unexpected inspiration and curious parallels. In "The Theory of Propane and Libertarianism" by John Doe, an unconventional narrative intertwines the world of political ideologies with the fiery passion of propane enthusiasts. Although a work of fiction, the novel playfully explores the notion of Libertarian aficionados finding common ground with proponents of clean energy, presenting an amusing yet thought-provoking take on the unexpected connections that permeate our world.
On the more factual side, "The Energy Chronicles" by Samantha Smith presents a comprehensive examination of global energy trends, emphasizing the roles of alternative fuels and their impact on societal dynamics. While the book primarily focuses on broader energy shifts, it inadvertently sets the stage for contemplating the peculiar intersection of political affiliations and energy consumption, prompting readers to ponder the whimsical juxtaposition of Libertarian votes and LPG usage.
Now, as we shift toward the realm of internet phenomena, it is impossible to overlook the ubiquitous presence of memes in contemporary discourse. Memes such as the "Propane Enthusiast Pepe" and the "Libertarian Larry" have permeated online communities, humorously depicting the idiosyncrasies of propane aficionados and proponents of libertarian ideals. These internet creations, while lighthearted in nature, underscore the cultural permeation of both libertarianism and propane enthusiasm, offering a comedic lens through which to view the unexpected confluence of these two entities.
In conclusion, as we consider the diverse array of literature and cultural artifacts encompassing the realm of Libertarian votes in Georgia and LPG usage in Malta, one cannot help but appreciate the eclectic tapestry of influences that shape our understanding of this peculiar correlation. With a nod to both scholarly pursuits and whimsical inspirations, we stand poised to unravel the enigmatic link between Libertarian lovers and propane pals, armed with statistical rigor and perhaps a dash of lighthearted humor.
Speaking of statistical rigor, did you hear about the statistician who fell asleep while driving? He couldn't decide whether to use a z-test or a t-test in that situation!

[[RESULTS]]
The results of our investigation into the association between votes for the Libertarian presidential candidate in Georgia and Liquefied Petroleum Gas (LPG) consumption in Malta unveil an intriguing connection that may leave some scratching their heads, much like solving a statistical puzzle with a twist. From 1980 to 2020, we observed a striking correlation coefficient of 0.9424236, an r-squared of 0.8881622, and a p-value less than 0.01. These findings indicate a robust and statistically significant relationship between the two distinct variables, much like finding unexpected commonalities between statistical distributions.
As we gaze upon the scatterplot in Figure 1 (not actually gazing at it, as I can't see it now, hehe), the data points coalesce into a clear pattern, reminiscent of how outlier data points sometimes stand out like a sore thumb in our analyses. This visual representation unmistakably underscores the strength of the association, further challenging the conventional wisdom that some correlations are merely statistical flukes.
Speaking of flukes, did you hear about the researcher who accidentally broke their microscope and thus could no longer see things at a nanoscopic level? Talk about a small oversight!
The robustness of the correlation between votes for the Libertarian candidate in Georgia and LPG consumption in Malta suggests that there may indeed be an underlying causal mechanism at play, perpetuating this unexpected statistical liaison. Like uncovering hidden patterns in a complex dataset, this finding sparks a sense of wonder and excitement in unraveling the mysteries of data relationships, reminding us of the surprise and delight we experience when uncovering unexpected results in research.
In conclusion, the statistical connection between support for the Libertarian candidate in Georgia and LPG consumption in Malta is a compelling reminder of the synchronicity that can exist between seemingly disparate variables. By shedding light on this intriguing association, we hope to inspire further exploration into the uncharted territories of statistical anomalies and fortify the scientific community's appreciation for the whimsical nature of statistical correlations. After all, as researchers, we must embrace the unexpected with open arms, much like a statistician embracing the concept of sampling variability in their data analysis endeavors.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The results of our study have unveiled a remarkably strong and significant correlation between votes for the Libertarian presidential candidate in Georgia and Liquefied Petroleum Gas (LPG) consumption in Malta. It seems that even in the vast landscape of statistical relationships, this unlikely pair has managed to find common ground. Much like the unexpected intersection of a dad joke and a research paper, this association has managed to surprise and entertain.

The robust correlation coefficient of 0.9424236 with a p-value less than 0.01 provides compelling evidence for the strength of this connection. This statistical bond between political voting behavior and energy consumption is as strong as the structural integrity of a well-constructed regression model. It seems that these seemingly distinct variables are not as distant as they may appear at first glance; in fact, they may be as intricately linked as an ANOVA model with multiple factors.

Our findings bolster the earlier works of Smith et al. (2015), who emphasized the idiosyncratic appeal of Libertarian ideology across diverse voter profiles. The support for the Libertarian party, it seems, transcends traditional party lines, much like how statistical outliers often transcend the norm in a dataset. Furthermore, our results support the observations of Doe and Jones (2018), shedding light on the significant role of LPG in small island nations. The versatility and efficiency of LPG seem to have resonated with those who harbor libertarian inclinations, creating a union as unexpected as the emergence of a significant interaction effect in a factorial design.

The scatterplot illustrating the relationship between votes for the Libertarian candidate in Georgia and LPG consumption in Malta vividly portrays the data points aligning in a pattern akin to a well-constructed research design. This visual representation serves as a stark reminder of the power of data visualization in elucidating complex statistical relationships. As we embrace the unexpected nature of these findings, we are reminded of the crucial role of visual storytelling in contextualizing statistical analyses; much like the unexpected role a well-timed dad joke plays in enlivening a serious conversation.

In exploring the intricacies of statistical relationships, we mustn't forget the role of chance and serendipity, both of which often play a substantial part in research endeavors. However, our study's findings affirm that sometimes, as in the case of the correlation between Libertarian voting preferences and LPG consumption, statistical relationships are as real and substantial as they appear, much like the promise of an intriguing correlation being more than just a statistical phantasm.

The whimsical nature of this unexpected correlation should serve as a gentle reminder to tread into uncharted territories in statistical research. Who knows what other unconventional associations are waiting to be uncovered, much like the unexpected humor hidden within a seemingly serious academic work. As researchers, we must remain open to the unexpected and embrace the statistical anomalies that defy traditional expectations, much like a statistician embracing a new and uncharted dataset with fervor and anticipation.

It seems that within the vast tapestry of statistical phenomena, even the most unexpected correlations can find their place, much like a well-crafted pun finding its way into an academic discourse. And in this spirit, the statistical camaraderie that emerges from our findings invites our peers to embrace the unexpected with open arms and a good sense of humor. After all, as researchers, we are tasked with unraveling the mysteries of the unknown, be they statistical or comedic in nature.


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft the discussion section of goofy academic research papers that sounds like it belongs based on the title and abstract provided.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Votes for the Libertarian Presidential candidate in Georgia and Liquefied petroleum gas used in Malta. 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]]
Libertarian Lovers and Propane Pals: Exploring the Link between Votes for the Libertarian Presidential candidate in Georgia and Liquefied Petroleum Gas Consumption in Malta

[[ABSTRACT]]
This study delves into the curious correlation between votes for the Libertarian presidential candidate in the peachy state of Georgia and the consumption of Liquefied Petroleum Gas (LPG) on the sunny island of Malta. Utilizing data from the MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, we have set out to crack the enigmatic connection between these two seemingly unrelated entities. The findings reveal a robust correlation coefficient of 0.9424236 with p < 0.01 from the years 1980 to 2020.

It seems that while some may see Libertarians and propane as an odd pair, our research suggests they have more in common than meets the eye. In the spirit of statistical camaraderie, this paper aims to shed light on this unexpected relationship, and perhaps ignite some statistical curiosity amongst our peers.

Now, for the dad joke: What did the Libertarian say to the LPG tank? "You have the freedom to fuel my fire, but don't infringe upon my personal propane-ty!"

[[INTRDUCTION]]
Quirky correlations and unexpected associations often pique the interest of researchers, and our current investigation is no exception. As we dive into the realms of statistical analysis, it's essential to recognize the erratic curiosity that propels our scientific endeavors. Though the relationship between votes for the Libertarian presidential candidate in Georgia and Liquefied Petroleum Gas (LPG) consumption in Malta may initially appear far-fetched, our findings suggest that there may be more to this enigmatic connection than initially meets the eye.
Now, to elucidate the intriguing interplay between these peculiar variables, let us begin by contemplating the nature of Libertarian ideology and the allure of propane. One might be inclined to ask: what common ground could these disparate entities possibly share? It's like trying to mix oil and water, but in a statistical sense.
Speaking of mixing, did you hear about the statistician who drowned in a lake with an average depth of just six inches? He unfortunately failed to account for the outliers! Now, back to our unlikely duo.
Libertarianism, with its emphasis on personal freedom and limited government intervention, represents a fervent devotion to individual liberties and autonomy. On the other hand, LPG, a clean and versatile source of energy, has a remarkable ability to fuel a wide array of domestic and industrial applications. Just like a good regression equation, these seemingly divergent elements may ultimately yield a surprising level of harmony.
And on that note, what did the Libertarian say when they saw the LPG consumption data? "Looks like I've got the gas to ignite a revolution…in statistical analysis, that is!"
The motivation behind this study is not merely to uncover an unexpected correlation, but also to underscore the importance of exploring unconventional relationships in data. By demonstrating the presence of a robust correlation coefficient of 0.9424236 (p < 0.01) from 1980 to 2020, our research aims to challenge preconceived notions and ignite curiosity in the wondrous world of statistical analysis.
So, as we embark on this journey of scholarly exploration, let us not dismiss the peculiar pairings and offbeat associations that may hold the key to unlocking the mysteries of the statistical universe. After all, as researchers, it's our duty to boldly go where no statistical analysis has gone before – even if it leads us to unexpected destinations, such as the unlikely affiliation between Libertarian lovers and propane pals.

[[RESULTS]]
The results of our investigation into the association between votes for the Libertarian presidential candidate in Georgia and Liquefied Petroleum Gas (LPG) consumption in Malta unveil an intriguing connection that may leave some scratching their heads, much like solving a statistical puzzle with a twist. From 1980 to 2020, we observed a striking correlation coefficient of 0.9424236, an r-squared of 0.8881622, and a p-value less than 0.01. These findings indicate a robust and statistically significant relationship between the two distinct variables, much like finding unexpected commonalities between statistical distributions.
As we gaze upon the scatterplot in Figure 1 (not actually gazing at it, as I can't see it now, hehe), the data points coalesce into a clear pattern, reminiscent of how outlier data points sometimes stand out like a sore thumb in our analyses. This visual representation unmistakably underscores the strength of the association, further challenging the conventional wisdom that some correlations are merely statistical flukes.
Speaking of flukes, did you hear about the researcher who accidentally broke their microscope and thus could no longer see things at a nanoscopic level? Talk about a small oversight!
The robustness of the correlation between votes for the Libertarian candidate in Georgia and LPG consumption in Malta suggests that there may indeed be an underlying causal mechanism at play, perpetuating this unexpected statistical liaison. Like uncovering hidden patterns in a complex dataset, this finding sparks a sense of wonder and excitement in unraveling the mysteries of data relationships, reminding us of the surprise and delight we experience when uncovering unexpected results in research.
In conclusion, the statistical connection between support for the Libertarian candidate in Georgia and LPG consumption in Malta is a compelling reminder of the synchronicity that can exist between seemingly disparate variables. By shedding light on this intriguing association, we hope to inspire further exploration into the uncharted territories of statistical anomalies and fortify the scientific community's appreciation for the whimsical nature of statistical correlations. After all, as researchers, we must embrace the unexpected with open arms, much like a statistician embracing the concept of sampling variability in their data analysis endeavors.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our study has unearthed a surprising and robust connection between votes for the Libertarian presidential candidate in Georgia and Liquefied Petroleum Gas (LPG) consumption in Malta. The impressive correlation coefficient of 0.9424236, coupled with an r-squared of 0.8881622 and a p-value less than 0.01, paints a compelling picture, much like a masterfully crafted statistical portrait with a hint of enigmatic allure. It seems that even in the realm of academia, unexpected pairings can spark curiosity and ignite intellectual flames, not unlike a statistical campfire.

Now, for a joke fit for the conclusion: Why don't statisticians trust atoms? Because they make up everything!

The clear association between these seemingly disparate variables challenges conventional assumptions and beckons us to embrace the quirky, convoluted pathways of statistical exploration. As we wrap up this research endeavor, it’s essential to recognize the importance of unraveling unexpected relationships in data, akin to solving a perplexing statistical riddle with a touch of whimsy.

As for future research, it appears that the statistical tendrils connecting Libertarian devotees in Georgia and LPG consumers in Malta have been sufficiently untangled, much like a meticulous regression analysis that leaves no residual stone unturned. It is safe to say that no further investigation is needed in this peculiar domain of statistical serendipity. With that, it's time to bid adieu to this statistical enigma and embrace the next curious conundrum that awaits our scholarly scrutiny.


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 Libertarian Lovers and Propane Pals: Exploring the Link between Votes for the Libertarian Presidential candidate in Georgia and Liquefied Petroleum Gas Consumption in Malta. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Eccentric Economics and Unconventional Inquiries


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 Libertarian Lovers and Propane Pals: Exploring the Link between Votes for the Libertarian Presidential candidate in Georgia and Liquefied Petroleum Gas Consumption in Malta. Respond only with the name of a fictional organization.

ChatGPT:

The Center for Eccentric Economic and Energy Studies


Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled Libertarian Lovers and Propane Pals: Exploring the Link between Votes for the Libertarian Presidential candidate in Georgia and Liquefied Petroleum Gas Consumption in Malta with an abstract of This study delves into the curious correlation between votes for the Libertarian presidential candidate in the peachy state of Georgia and the consumption of Liquefied Petroleum Gas (LPG) on the sunny island of Malta. Utilizing data from the MIT Election Data and Science Lab, Harvard Dataverse, and the Energy Information Administration, we have set out to crack the enigmatic connection between these two seemingly unrelated entities. The findings reveal a robust correlation coefficient of 0.9424236 with p < 0.01 from the years 1980 to 2020.
It seems that while some may see Libertarians and propane as an odd pair, our research suggests they have more in common than meets the eye. In the spirit of statistical camaraderie, this paper aims to shed light on this unexpected relationship, and perhaps ignite some statistical curiosity amongst our peers.
Now, for the dad joke: What did the Libertarian say to the LPG tank? "You have the freedom to fuel my fire, but don't infringe upon my personal propane-ty!

ChatGPT:

Libertarian, presidential candidate, Georgia, LPG consumption, Malta, correlation, MIT Election Data and Science Lab, Harvard Dataverse, Energy Information Administration, correlation coefficient, statistical relationship, statistical curiosity, libertarian jokes

*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.



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Data details

Votes for the Libertarian Presidential candidate in Georgia
Detailed data title: Total votes cast for the Libertarian Presidential candidate in Georgia
Source: MIT Election Data and Science Lab, Harvard Dataverse
See what else correlates with Votes for the Libertarian Presidential candidate in Georgia

Liquefied petroleum gas used in Malta
Detailed data title: Volume of liquefied petroleum gas used consumed in Malta in millions of barrels per day
Source: Energy Information Administration
See what else correlates with Liquefied petroleum gas used in Malta

Correlation r = 0.9424236 (Pearson correlation coefficient)
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 = 0.8881622 (Coefficient of determination)
This means 88.8% of the change in the one variable (i.e., Liquefied petroleum gas used in Malta) is predictable based on the change in the other (i.e., Votes for the Libertarian Presidential candidate in Georgia) over the 10 years from 1980 through 2020.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 4.5E-5. 0.0000448363700733891850000000
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 0.94 in 0.0045% of random cases. Said differently, if you correlated 22,303 random variables You don't actually need 22 thousand variables to find a correlation like this one. You can also correlate variables that are not independent. I do this a lot.

p-value calculations are useful for understanding the probability of a result happening by chance. They are most useful when used to highlight the risk of a fluke outcome. For example, if you calculate a p-value of 0.30, the risk that the result is a fluke is high. It is good to know that! But there are lots of ways to get a p-value of less than 0.01, as evidenced by this project.

Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 9 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 9 because we have two variables measured over a period of 10 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.

[ 0.77, 0.99 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

This one is a bit more complciated than the other calculations, but I include it because many people have been pushing for confidence intervals instead of p-value calculations (for example: NEJM. However, if you are dredging data, you can reliably find yourself in the 5%. That's my goal!


All values for the years included above: If I were being very sneaky, I could trim years from the beginning or end of the datasets to increase the correlation on some pairs of variables. I don't do that because there are already plenty of correlations in my database without monkeying with the years.

Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
1980198819921996200020042008201220162020
Votes for the Libertarian Presidential candidate in Georgia (Total votes)1562784357110178703633218387287314532412530662229
Liquefied petroleum gas used in Malta (Million Barrels/Day)0.4381570.50.50.50.5071040.5387980.6655740.69726810.76274




Why this works

  1. 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.
  2. 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.
  3. 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.
  4. 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([15627,8435,7110,17870,36332,18387,28731,45324,125306,62229,])
array_2 = np.array([0.438157,0.5,0.5,0.5,0.507104,0.538798,0.665574,0.697268,1,0.76274,])
array_1_name = "Votes for the Libertarian Presidential candidate in Georgia"
array_2_name = "Liquefied petroleum gas used in Malta"

# 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)



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You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.

For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."

When spoken, my last name is pronounced "vegan," like I don't eat meat.

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Correlation ID: 4396 · Black Variable ID: 25967 · Red Variable ID: 24679
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