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Spurious correlation #5,595 · 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 Libertarian Senators in New York and the second variable is Gasoline pumped in Netherlands Antilles.  The chart goes from 1980 to 2016, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

The more Libertarian votes for Senators in New York, the more their platform of limited government resonates. This leads to a decrease in regulations on gasoline production in the US. As a result, there is an excess of gasoline, and in an unexpected turn of events, it's decided to send the surplus to the Netherlands Antilles, thus increasing the supply of gasoline pumped in the region. It's a case of political ideologies fueling transnational petrol pandemonium!

Model: dalle-3
Prompt: A visual prompt for this scene could be: Create an image of a vibrant and busy New York City street with a large voting station in the forefront. People of all ages and backgrounds are seen entering the station to cast their ballots, with a sprinkling of Libertarian party posters and banners in the crowd. As the votes for the Libertarian senators rise, a comically exaggerated gasoline pump similar to those found at gas stations starts to overflow with fuel, causing a whimsical cascade of gasoline spilling onto the street. Simultaneously, a secondary scene in the background portrays the hustle and bustle of a Netherlands Antilles gas station, where attendants are seen frantically managing the sudden influx of gasoline being pumped. The juxtaposition should capture the ironic and unexpected connection between the voting outcomes in New York and the subsequent impact on gasoline activity in the Netherlands Antilles. 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 Libertarian Senators in New York and Gasoline pumped in Netherlands Antilles. 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: Parallax art a funny image you would see on reddit a funny image macro Photorealism a funny image macro
ChatGPT: a funny image macro

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 Libertarian Senators in New York and Gasoline pumped in Netherlands Antilles, in the following situation: The more Libertarian votes for Senators in New York, the more their platform of limited government resonates. This leads to a decrease in regulations on gasoline production in the US. As a result, there is an excess of gasoline, and in an unexpected turn of events, it's decided to send the surplus to the Netherlands Antilles, thus increasing the supply of gasoline pumped in the region. It's a case of political ideologies fueling transnational petrol pandemonium!. Keep the description simple.
ChatGPT: In downtown New York, a bustling voting station is filled with people casting their ballots for Libertarian senators. As the number of votes for the Libertarian senators increases, the government officials announce a reduction in regulations on gasoline production. This leads to an overflow of gasoline in the city. Meanwhile, in the Netherlands Antilles, gas stations are brimming with activity as more gasoline is being pumped due to the sudden surplus shipped from the US. The unexpected connection between Libertarian votes in New York and the increase in gasoline pumped in the Netherlands Antilles creates a unique and unexpected political and economic entanglement.

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 funny image macro ] and depicting this scene: In downtown New York, a bustling voting station is filled with people casting their ballots for Libertarian senators. As the number of votes for the Libertarian senators increases, the government officials announce a reduction in regulations on gasoline production. This leads to an overflow of gasoline in the city. Meanwhile, in the Netherlands Antilles, gas stations are brimming with activity as more gasoline is being pumped due to the sudden surplus shipped from the US. The unexpected connection between Libertarian votes in New York and the increase in gasoline pumped in the Netherlands Antilles creates a unique and unexpected political and economic entanglement. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: A visual prompt for this scene could be: Create an image of a vibrant and busy New York City street with a large voting station in the forefront. People of all ages and backgrounds are seen entering the station to cast their ballots, with a sprinkling of Libertarian party posters and banners in the crowd. As the votes for the Libertarian senators rise, a comically exaggerated gasoline pump similar to those found at gas stations starts to overflow with fuel, causing a whimsical cascade of gasoline spilling onto the street. Simultaneously, a secondary scene in the background portrays the hustle and bustle of a Netherlands Antilles gas station, where attendants are seen frantically managing the sudden influx of gasoline being pumped. The juxtaposition should capture the ironic and unexpected connection between the voting outcomes in New York and the subsequent impact on gasoline activity in the Netherlands Antilles.

*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 Libertarian votes for Senators in New York caused Gasoline pumped in Netherlands Antilles to increase.

AI academic paper

(Because p < 0.01)
Libertarian Largesse and Gasoline Gags: A Lively Link

The Journal of Political Puns and Economic Euphemisms

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 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 Libertarian votes for Senators in New York and Gasoline pumped in Netherlands Antilles. Make lots of jokes, goofy observations, and puns.

Make the title an alliteration.

Your research team used data from MIT Election Data and Science Lab, Harvard Dataverse and Energy Information Administration to assess this nagging question. You found a correlation coefficient of 0.9071881 and p < 0.01 for 1980 to 2016.

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 Largesse and Gasoline Gags: A Lively Link

[[ABSTRACT]]
The connection between Libertarian votes for Senators in New York and Gasoline pumped in Netherlands Antilles is not just a gas, but a politically charged combination that has long perplexed researchers and pundits alike. In this study, we dive into the data with fervor and found some truly jaw-dropping and eye-popping correlations. Using data from the MIT Election Data and Science Lab, Harvard Dataverse, and Energy Information Administration, our research team uncovered a correlation coefficient of 0.9071881 and p < 0.01 for the years 1980 to 2016. This suggests a strong and statistically significant relationship between these seemingly disparate variables. Our findings may just pump up the volume on the discussion around political ideologies and international energy consumption. So, buckle up and join us on this wild ride through the world of politics and petroleum!


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 Libertarian votes for Senators in New York and Gasoline pumped in Netherlands Antilles. Make lots of jokes, goofy observations, and puns.

Here is the title and abstract of the paper:
[[TITLE]]
Libertarian Largesse and Gasoline Gags: A Lively Link

[[ABSTRACT]]
The connection between Libertarian votes for Senators in New York and Gasoline pumped in Netherlands Antilles is not just a gas, but a politically charged combination that has long perplexed researchers and pundits alike. In this study, we dive into the data with fervor and found some truly jaw-dropping and eye-popping correlations. Using data from the MIT Election Data and Science Lab, Harvard Dataverse, and Energy Information Administration, our research team uncovered a correlation coefficient of 0.9071881 and p < 0.01 for the years 1980 to 2016. This suggests a strong and statistically significant relationship between these seemingly disparate variables. Our findings may just pump up the volume on the discussion around political ideologies and international energy consumption. So, buckle up and join us on this wild ride through the world of politics and petroleum!

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

The intersection of politics and petroleum is undoubtedly a fuel for thought, often leading to surprising and unexpected connections. In this paper, we embark on a journey to explore the seemingly whimsical link between Libertarian votes for Senators in New York and the amount of gasoline pumped in Netherlands Antilles. While this pairing may initially elicit a chuckle or two, our investigation uncovers some truly thought-provoking and eyebrow-raising correlations.

As researchers, we were initially drawn to this peculiar pairing by its sheer unpredictability. After all, what could a senatorial election in the Big Apple possibly have to do with the consumption of gasoline in the Caribbean? The mere juxtaposition of these disparate elements piqued our curiosity, leading us down a rabbit hole of data analysis and statistical sleuthing.

Our quest took us deep into the annals of electoral data from the MIT Election Data and Science Lab and the Harvard Dataverse, as well as into the caverns of energy consumption statistics from the Energy Information Administration. Armed with spreadsheets and statistical software, we embarked on a Sherlock Holmes-esque mission to uncover any hint of connection between these unrelated variables.

Our efforts have borne fruit, and we are thrilled to present the tantalizing fruits of our labor in this paper. Through rigorous analysis and a dash of statistical cunning, we have unearthed a correlation coefficient of 0.9071881 with a p-value of less than 0.01, spanning the years from 1980 to 2016. These results unveil a robust and statistically significant relationship between Libertarian votes in New York and the gasoline pumped in Netherlands Antilles, setting the stage for a lively discussion on the underlying mechanisms at play.

But fear not, dear reader, for the journey does not end with the unveiling of these findings. Buckle up as we delve deeper into the web of connections between political ideologies and the global consumption of the lifeblood of modern transportation – gasoline. As we unravel the bonds that tie together these seemingly unrelated domains, prepare to be amused, astonished, and just maybe enlightened by the unexpected kinship between Libertarian largesse and gasoline gags. So, let's rev up the engines of inquiry and set forth on this wild ride through the tumultuous terrain of political ideologies and international energy consumption!


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 Libertarian votes for Senators in New York and Gasoline pumped in Netherlands Antilles. Make lots of jokes, goofy observations, and puns.

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

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

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

Here is the title and abstract of the paper:
[[TITLE]]
Libertarian Largesse and Gasoline Gags: A Lively Link

[[ABSTRACT]]
The connection between Libertarian votes for Senators in New York and Gasoline pumped in Netherlands Antilles is not just a gas, but a politically charged combination that has long perplexed researchers and pundits alike. In this study, we dive into the data with fervor and found some truly jaw-dropping and eye-popping correlations. Using data from the MIT Election Data and Science Lab, Harvard Dataverse, and Energy Information Administration, our research team uncovered a correlation coefficient of 0.9071881 and p < 0.01 for the years 1980 to 2016. This suggests a strong and statistically significant relationship between these seemingly disparate variables. Our findings may just pump up the volume on the discussion around political ideologies and international energy consumption. So, buckle up and join us on this wild ride through the world of politics and petroleum!

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The intersection of politics and petroleum is undoubtedly a fuel for thought, often leading to surprising and unexpected connections. In this paper, we embark on a journey to explore the seemingly whimsical link between Libertarian votes for Senators in New York and the amount of gasoline pumped in Netherlands Antilles. While this pairing may initially elicit a chuckle or two, our investigation uncovers some truly thought-provoking and eyebrow-raising correlations.
As researchers, we were initially drawn to this peculiar pairing by its sheer unpredictability. After all, what could a senatorial election in the Big Apple possibly have to do with the consumption of gasoline in the Caribbean? The mere juxtaposition of these disparate elements piqued our curiosity, leading us down a rabbit hole of data analysis and statistical sleuthing.
Our quest took us deep into the annals of electoral data from the MIT Election Data and Science Lab and the Harvard Dataverse, as well as into the caverns of energy consumption statistics from the Energy Information Administration. Armed with spreadsheets and statistical software, we embarked on a Sherlock Holmes-esque mission to uncover any hint of connection between these unrelated variables.
Our efforts have borne fruit, and we are thrilled to present the tantalizing fruits of our labor in this paper. Through rigorous analysis and a dash of statistical cunning, we have unearthed a correlation coefficient of 0.9071881 with a p-value of less than 0.01, spanning the years from 1980 to 2016. These results unveil a robust and statistically significant relationship between Libertarian votes in New York and the gasoline pumped in Netherlands Antilles, setting the stage for a lively discussion on the underlying mechanisms at play.
But fear not, dear reader, for the journey does not end with the unveiling of these findings. Buckle up as we delve deeper into the web of connections between political ideologies and the global consumption of the lifeblood of modern transportation – gasoline. As we unravel the bonds that tie together these seemingly unrelated domains, prepare to be amused, astonished, and just maybe enlightened by the unexpected kinship between Libertarian largesse and gasoline gags. So, let's rev up the engines of inquiry and set forth on this wild ride through the tumultuous terrain of political ideologies and international energy consumption!

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The complex interplay between political ideologies and international energy consumption has long captured the attention of researchers and armchair philosophers alike, leading to a myriad of studies exploring the enigmatic connections therein. Smith et al. (2015) delve into the nuances of political affiliations and their impact on energy policies, shedding light on the intricate dance between ideology and resource consumption. Meanwhile, Doe and Jones (2018) unravel the multifaceted web of global fuel dynamics, offering a comprehensive analysis of gasoline consumption patterns across diverse geopolitical landscapes.

On the other hand, the work of "Gasoline Galore: A Global Perspective" by Reilly (2012) presents a compelling narrative of petroleum's sway over international affairs, weaving together geopolitical intrigue and economic imperatives with a deft hand. Furthermore, "Libertarian Largesse: From Theory to Practice" by Freedman (2016) provides a thought-provoking examination of libertarian principles in modern politics, offering insights that echo across the hallowed halls of governance.

However, amidst the sea of scholarly discourse, one cannot ignore the whimsical whispers of literature that may hold unexpected relevance to our perplexing pairing of Libertarian votes and gasoline consumption. Consider "The Fountainhead" by Ayn Rand, a classic novel that reverberates with individualistic fervor, suggesting a potential parallel to the fervent libertarian spirit. Similarly, the timeless tale of "Around the World in Eighty Days" by Jules Verne hints at the global reach of our investigation, spanning continents and cultures much like the far-reaching tendrils of gasoline distribution.

Additionally, in the realm of internet memes, the infamous "Distracted Boyfriend" meme may provide an allegorical mirror to our exploration, with the fickle gaze of political ideologies tantalizingly drawn towards the alluring allure of gasoline consumption, much like the distracted paramour in the meme. Meanwhile, the "This is Fine" dog meme humorously encapsulates the nonchalant acceptance of perplexing correlations, which may resonate with readers grappling with the curious connection we unveil.

As we navigate this scholarly tapestry, it becomes abundantly clear that the intricacies of our exploration extend far beyond the confines of traditional discourse. With each turn of the page and every click of the mouse, the playful dance between politics and petroleum reveals itself to be a kaleidoscope of wit and wonder, inviting us to embrace the unexpected with open arms and a healthy dose of good-natured humor.


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 Libertarian votes for Senators in New York and Gasoline pumped in Netherlands Antilles. Make lots of jokes, goofy observations, and puns.

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 2016

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 Largesse and Gasoline Gags: A Lively Link

[[ABSTRACT]]
The connection between Libertarian votes for Senators in New York and Gasoline pumped in Netherlands Antilles is not just a gas, but a politically charged combination that has long perplexed researchers and pundits alike. In this study, we dive into the data with fervor and found some truly jaw-dropping and eye-popping correlations. Using data from the MIT Election Data and Science Lab, Harvard Dataverse, and Energy Information Administration, our research team uncovered a correlation coefficient of 0.9071881 and p < 0.01 for the years 1980 to 2016. This suggests a strong and statistically significant relationship between these seemingly disparate variables. Our findings may just pump up the volume on the discussion around political ideologies and international energy consumption. So, buckle up and join us on this wild ride through the world of politics and petroleum!

[[INTRODUCTION]]
The intersection of politics and petroleum is undoubtedly a fuel for thought, often leading to surprising and unexpected connections. In this paper, we embark on a journey to explore the seemingly whimsical link between Libertarian votes for Senators in New York and the amount of gasoline pumped in Netherlands Antilles. While this pairing may initially elicit a chuckle or two, our investigation uncovers some truly thought-provoking and eyebrow-raising correlations.
As researchers, we were initially drawn to this peculiar pairing by its sheer unpredictability. After all, what could a senatorial election in the Big Apple possibly have to do with the consumption of gasoline in the Caribbean? The mere juxtaposition of these disparate elements piqued our curiosity, leading us down a rabbit hole of data analysis and statistical sleuthing.
Our quest took us deep into the annals of electoral data from the MIT Election Data and Science Lab and the Harvard Dataverse, as well as into the caverns of energy consumption statistics from the Energy Information Administration. Armed with spreadsheets and statistical software, we embarked on a Sherlock Holmes-esque mission to uncover any hint of connection between these unrelated variables.
Our efforts have borne fruit, and we are thrilled to present the tantalizing fruits of our labor in this paper. Through rigorous analysis and a dash of statistical cunning, we have unearthed a correlation coefficient of 0.9071881 with a p-value of less than 0.01, spanning the years from 1980 to 2016. These results unveil a robust and statistically significant relationship between Libertarian votes in New York and the gasoline pumped in Netherlands Antilles, setting the stage for a lively discussion on the underlying mechanisms at play.
But fear not, dear reader, for the journey does not end with the unveiling of these findings. Buckle up as we delve deeper into the web of connections between political ideologies and the global consumption of the lifeblood of modern transportation – gasoline. As we unravel the bonds that tie together these seemingly unrelated domains, prepare to be amused, astonished, and just maybe enlightened by the unexpected kinship between Libertarian largesse and gasoline gags. So, let's rev up the engines of inquiry and set forth on this wild ride through the tumultuous terrain of political ideologies and international energy consumption!

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To unravel the enigmatic relationship between Libertarian votes for Senators in New York and the volume of gasoline pumped in Netherlands Antilles, our research team embarked on a quest that would make even the most intrepid explorers envious. Our approach combined a rigorous analysis of publicly available data with a touch of whimsy and a generous sprinkling of statistical prowess.

Our first step involved delving into the treasure trove of electoral data from the MIT Election Data and Science Lab, where we mined the records of Libertarian votes for Senators in the Empire State. Armed with spreadsheets and databases, we navigated the labyrinthine corridors of political statistics with a fervor that matched the intensity of a New York City rush hour. The MIT Election Data and Science Lab served as our compass, guiding us through the turbulent seas of electoral outcomes with the precision of a seasoned cartographer.

Simultaneously, we set sail for the exotic shores of the Netherlands Antilles, where the aroma of Caribbean spices mingled with the heady scent of gasoline. Here, we tapped into the reservoir of energy consumption statistics from the Energy Information Administration, trawling through decades of data on the volume of gasoline pumped in this tropical paradise. Our virtual journey through the Dutch Caribbean was not without its share of swashbuckling adventures, as we charted a course through the tempestuous waters of international energy statistics.

With our datasets in hand, we donned our statistical hats – both metaphorically and literally – and set to work unraveling the mysteries that lay before us. Employing a blend of correlation analysis, time-series modeling, and multivariate regression, we teased out the subtle threads that linked the political pulse of New York to the heartbeat of Caribbean gasoline consumption. Our methodology was as eclectic as a carnival of curiosities, weaving together disparate statistical techniques in a symphony of data analysis.

The timeline of our data spanned from 1980 to 2016, capturing the ebb and flow of political fortunes and the rhythmic cadence of gasoline consumption in the Netherlands Antilles. This expansive temporal window allowed us to paint a panoramic portrait of the relationship between Libertarian voting patterns and the pumping of petroleum, offering a glimpse into the historical tapestry that connected these seemingly incongruous phenomena.

As our statistical expedition reached its crescendo, we unearthed a correlation coefficient of 0.9071881, accompanied by a p-value of less than 0.01. These findings not only raised eyebrows but also propelled our research into the realm of statistical significance. The robustness of this correlation sent ripples through the hallowed halls of academia, establishing a firm foundation for the veracity of our findings.

In conclusion, our methodology combined the zeal of intrepid explorers, the precision of seasoned cartographers, and the analytical acumen of statistical musketeers. Through a whimsical yet rigorous approach, we have endeavored to illuminate the captivating link between Libertarian largesse and gasoline gags, setting the stage for a rollicking romp through the nexus of political ideologies and international energy consumption. So, fasten your seatbelts and prepare to be swept away by the wild and wondrous world of political petrol!


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 Libertarian votes for Senators in New York and Gasoline pumped in Netherlands Antilles. Make lots of jokes, goofy observations, and puns.

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 2016, you found a correlation 0.9071881, r-squared of 0.8229902, 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 Largesse and Gasoline Gags: A Lively Link

[[ABSTRACT]]
The connection between Libertarian votes for Senators in New York and Gasoline pumped in Netherlands Antilles is not just a gas, but a politically charged combination that has long perplexed researchers and pundits alike. In this study, we dive into the data with fervor and found some truly jaw-dropping and eye-popping correlations. Using data from the MIT Election Data and Science Lab, Harvard Dataverse, and Energy Information Administration, our research team uncovered a correlation coefficient of 0.9071881 and p < 0.01 for the years 1980 to 2016. This suggests a strong and statistically significant relationship between these seemingly disparate variables. Our findings may just pump up the volume on the discussion around political ideologies and international energy consumption. So, buckle up and join us on this wild ride through the world of politics and petroleum!

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The intersection of politics and petroleum is undoubtedly a fuel for thought, often leading to surprising and unexpected connections. In this paper, we embark on a journey to explore the seemingly whimsical link between Libertarian votes for Senators in New York and the amount of gasoline pumped in Netherlands Antilles. While this pairing may initially elicit a chuckle or two, our investigation uncovers some truly thought-provoking and eyebrow-raising correlations.
As researchers, we were initially drawn to this peculiar pairing by its sheer unpredictability. After all, what could a senatorial election in the Big Apple possibly have to do with the consumption of gasoline in the Caribbean? The mere juxtaposition of these disparate elements piqued our curiosity, leading us down a rabbit hole of data analysis and statistical sleuthing.
Our quest took us deep into the annals of electoral data from the MIT Election Data and Science Lab and the Harvard Dataverse, as well as into the caverns of energy consumption statistics from the Energy Information Administration. Armed with spreadsheets and statistical software, we embarked on a Sherlock Holmes-esque mission to uncover any hint of connection between these unrelated variables.
Our efforts have borne fruit, and we are thrilled to present the tantalizing fruits of our labor in this paper. Through rigorous analysis and a dash of statistical cunning, we have unearthed a correlation coefficient of 0.9071881 with a p-value of less than 0.01, spanning the years from 1980 to 2016. These results unveil a robust and statistically significant relationship between Libertarian votes in New York and the gasoline pumped in Netherlands Antilles, setting the stage for a lively discussion on the underlying mechanisms at play.
But fear not, dear reader, for the journey does not end with the unveiling of these findings. Buckle up as we delve deeper into the web of connections between political ideologies and the global consumption of the lifeblood of modern transportation – gasoline. As we unravel the bonds that tie together these seemingly unrelated domains, prepare to be amused, astonished, and just maybe enlightened by the unexpected kinship between Libertarian largesse and gasoline gags. So, let's rev up the engines of inquiry and set forth on this wild ride through the tumultuous terrain of political ideologies and international energy consumption!

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

Our statistical analysis revealed a striking correlation coefficient of 0.9071881 with an r-squared of 0.8229902 and a p-value of less than 0.01, spanning the years from 1980 to 2016. These findings left our research team both pleasantly surprised and thoroughly amused. It seems that the relationship between Libertarian votes for Senators in New York and the gasoline pumped in Netherlands Antilles is not just a figment of statistical imagination but a tangible connection that demands further scrutiny.

But wait, it's not all just numbers and probabilities. To lend a visual dimension to our revelatory results, we present Fig. 1, a scatterplot showcasing the robust correlation between these seemingly unrelated variables. (Hey, who said data visualization can't be fun?)

The strength and significance of this correlation between political leanings and fuel consumption may raise more than a few eyebrows. However, let's not jump the gun and gas up the hype machine just yet. Our findings simply open the door for an exhilarating exchange of ideas and theories regarding the underlying forces at play, enticing scholars and enthusiasts alike to join the conversation.

In essence, our research thrusts this seemingly whimsical association into the spotlight. The connection between Libertarian votes and fuel consumption in a tropical paradise may seem like a cocktail of oddities, but the data speaks for itself. So, fasten your seatbelts and prepare for a spirited journey into the realm of political ideologies and global petrol ponderings. This is one road trip you won't want to miss!


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 Libertarian votes for Senators in New York and Gasoline pumped in Netherlands Antilles. Make lots of jokes, goofy observations, and puns.

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 Largesse and Gasoline Gags: A Lively Link

[[ABSTRACT]]
The connection between Libertarian votes for Senators in New York and Gasoline pumped in Netherlands Antilles is not just a gas, but a politically charged combination that has long perplexed researchers and pundits alike. In this study, we dive into the data with fervor and found some truly jaw-dropping and eye-popping correlations. Using data from the MIT Election Data and Science Lab, Harvard Dataverse, and Energy Information Administration, our research team uncovered a correlation coefficient of 0.9071881 and p < 0.01 for the years 1980 to 2016. This suggests a strong and statistically significant relationship between these seemingly disparate variables. Our findings may just pump up the volume on the discussion around political ideologies and international energy consumption. So, buckle up and join us on this wild ride through the world of politics and petroleum!

[[LITERATURE REVIEW]]
The complex interplay between political ideologies and international energy consumption has long captured the attention of researchers and armchair philosophers alike, leading to a myriad of studies exploring the enigmatic connections therein. Smith et al. (2015) delve into the nuances of political affiliations and their impact on energy policies, shedding light on the intricate dance between ideology and resource consumption. Meanwhile, Doe and Jones (2018) unravel the multifaceted web of global fuel dynamics, offering a comprehensive analysis of gasoline consumption patterns across diverse geopolitical landscapes.
On the other hand, the work of "Gasoline Galore: A Global Perspective" by Reilly (2012) presents a compelling narrative of petroleum's sway over international affairs, weaving together geopolitical intrigue and economic imperatives with a deft hand. Furthermore, "Libertarian Largesse: From Theory to Practice" by Freedman (2016) provides a thought-provoking examination of libertarian principles in modern politics, offering insights that echo across the hallowed halls of governance.
However, amidst the sea of scholarly discourse, one cannot ignore the whimsical whispers of literature that may hold unexpected relevance to our perplexing pairing of Libertarian votes and gasoline consumption. Consider "The Fountainhead" by Ayn Rand, a classic novel that reverberates with individualistic fervor, suggesting a potential parallel to the fervent libertarian spirit. Similarly, the timeless tale of "Around the World in Eighty Days" by Jules Verne hints at the global reach of our investigation, spanning continents and cultures much like the far-reaching tendrils of gasoline distribution.
Additionally, in the realm of internet memes, the infamous "Distracted Boyfriend" meme may provide an allegorical mirror to our exploration, with the fickle gaze of political ideologies tantalizingly drawn towards the alluring allure of gasoline consumption, much like the distracted paramour in the meme. Meanwhile, the "This is Fine" dog meme humorously encapsulates the nonchalant acceptance of perplexing correlations, which may resonate with readers grappling with the curious connection we unveil.
As we navigate this scholarly tapestry, it becomes abundantly clear that the intricacies of our exploration extend far beyond the confines of traditional discourse. With each turn of the page and every click of the mouse, the playful dance between politics and petroleum reveals itself to be a kaleidoscope of wit and wonder, inviting us to embrace the unexpected with open arms and a healthy dose of good-natured humor.

[[RESULTS]]
Our statistical analysis revealed a striking correlation coefficient of 0.9071881 with an r-squared of 0.8229902 and a p-value of less than 0.01, spanning the years from 1980 to 2016. These findings left our research team both pleasantly surprised and thoroughly amused. It seems that the relationship between Libertarian votes for Senators in New York and the gasoline pumped in Netherlands Antilles is not just a figment of statistical imagination but a tangible connection that demands further scrutiny.
But wait, it's not all just numbers and probabilities. To lend a visual dimension to our revelatory results, we present Fig. 1, a scatterplot showcasing the robust correlation between these seemingly unrelated variables. (Hey, who said data visualization can't be fun?)
The strength and significance of this correlation between political leanings and fuel consumption may raise more than a few eyebrows. However, let's not jump the gun and gas up the hype machine just yet. Our findings simply open the door for an exhilarating exchange of ideas and theories regarding the underlying forces at play, enticing scholars and enthusiasts alike to join the conversation.
In essence, our research thrusts this seemingly whimsical association into the spotlight. The connection between Libertarian votes and fuel consumption in a tropical paradise may seem like a cocktail of oddities, but the data speaks for itself. So, fasten your seatbelts and prepare for a spirited journey into the realm of political ideologies and global petrol ponderings. This is one road trip you won't want to miss!

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

What a gas! Our findings have not only affirmed but also injected an electrifying jolt into the prior research examining the entwined relationship between political leanings and international energy consumption. As we revisit the whimsical whispers of literature in our literature review, it’s remarkable to see how seemingly lighthearted anecdotes have steered us toward a significantly robust correlation between Libertarian votes for Senators in New York and gasoline consumption in Netherlands Antilles. Who knew that memes and classic novels could hold such serious implications for our scholarly pursuits?

Reilly's "Gasoline Galore" and Freedman's "Libertarian Largesse" provided valuable theoretical underpinnings as we delved into the dynamics of our peculiar pairing. We can’t help but acknowledge the unexpected relevance of Ayn Rand's "The Fountainhead" and Jules Verne's "Around the World in Eighty Days" in reflecting the expanse and fervor of our investigation. The moral of the story? Don’t dismiss literature’s quirky nudges when it comes to scholarly sleuthing.

Our results not only reaffirm the importance of understanding the underlying dynamics between political ideologies and energy consumption but also introduce a touch of novelty and humor to the scholarly discourse. The robust correlation coefficient and the p-value of less than 0.01 we unearthed speak volumes about the substantive link between these seemingly disparate variables. It's no longer a matter of happenstance but a poignant portrayal of the interplay between human inclinations and global energy dynamics.

The lively dance observed between these two variables opens up a world of possibilities for enriching debates and further investigations into the intricate mechanisms that underpin our findings. The statistical robustness of our results paints a picture of a political and energy tango that is not only captivating but also ripe for deeper exploration.

Overall, our research has not only underscored the flourishing potential at the crossroads of politics and petroleum but has also injected a much-needed dose of levity into the scholarly conversation. The spirited journey we’ve embarked upon has laid the groundwork for a colorful and captivating discussion that encompasses the seemingly whimsical and the profoundly meaningful aspects of human endeavors. So, as we bask in the rousing chorus of our findings, let’s not forget to appreciate the playfulness and poignancy woven into this seemingly oddball correlation. After all, scholarly pursuits can be as much fun as they are illuminating. Cheers to the unexpected revelations and the joyously convoluted roads of research!


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 Libertarian votes for Senators in New York and Gasoline pumped in Netherlands Antilles. Make lots of jokes, goofy observations, and puns.

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 Largesse and Gasoline Gags: A Lively Link

[[ABSTRACT]]
The connection between Libertarian votes for Senators in New York and Gasoline pumped in Netherlands Antilles is not just a gas, but a politically charged combination that has long perplexed researchers and pundits alike. In this study, we dive into the data with fervor and found some truly jaw-dropping and eye-popping correlations. Using data from the MIT Election Data and Science Lab, Harvard Dataverse, and Energy Information Administration, our research team uncovered a correlation coefficient of 0.9071881 and p < 0.01 for the years 1980 to 2016. This suggests a strong and statistically significant relationship between these seemingly disparate variables. Our findings may just pump up the volume on the discussion around political ideologies and international energy consumption. So, buckle up and join us on this wild ride through the world of politics and petroleum!

[[INTRDUCTION]]
The intersection of politics and petroleum is undoubtedly a fuel for thought, often leading to surprising and unexpected connections. In this paper, we embark on a journey to explore the seemingly whimsical link between Libertarian votes for Senators in New York and the amount of gasoline pumped in Netherlands Antilles. While this pairing may initially elicit a chuckle or two, our investigation uncovers some truly thought-provoking and eyebrow-raising correlations.
As researchers, we were initially drawn to this peculiar pairing by its sheer unpredictability. After all, what could a senatorial election in the Big Apple possibly have to do with the consumption of gasoline in the Caribbean? The mere juxtaposition of these disparate elements piqued our curiosity, leading us down a rabbit hole of data analysis and statistical sleuthing.
Our quest took us deep into the annals of electoral data from the MIT Election Data and Science Lab and the Harvard Dataverse, as well as into the caverns of energy consumption statistics from the Energy Information Administration. Armed with spreadsheets and statistical software, we embarked on a Sherlock Holmes-esque mission to uncover any hint of connection between these unrelated variables.
Our efforts have borne fruit, and we are thrilled to present the tantalizing fruits of our labor in this paper. Through rigorous analysis and a dash of statistical cunning, we have unearthed a correlation coefficient of 0.9071881 with a p-value of less than 0.01, spanning the years from 1980 to 2016. These results unveil a robust and statistically significant relationship between Libertarian votes in New York and the gasoline pumped in Netherlands Antilles, setting the stage for a lively discussion on the underlying mechanisms at play.
But fear not, dear reader, for the journey does not end with the unveiling of these findings. Buckle up as we delve deeper into the web of connections between political ideologies and the global consumption of the lifeblood of modern transportation – gasoline. As we unravel the bonds that tie together these seemingly unrelated domains, prepare to be amused, astonished, and just maybe enlightened by the unexpected kinship between Libertarian largesse and gasoline gags. So, let's rev up the engines of inquiry and set forth on this wild ride through the tumultuous terrain of political ideologies and international energy consumption!

[[RESULTS]]
Our statistical analysis revealed a striking correlation coefficient of 0.9071881 with an r-squared of 0.8229902 and a p-value of less than 0.01, spanning the years from 1980 to 2016. These findings left our research team both pleasantly surprised and thoroughly amused. It seems that the relationship between Libertarian votes for Senators in New York and the gasoline pumped in Netherlands Antilles is not just a figment of statistical imagination but a tangible connection that demands further scrutiny.
But wait, it's not all just numbers and probabilities. To lend a visual dimension to our revelatory results, we present Fig. 1, a scatterplot showcasing the robust correlation between these seemingly unrelated variables. (Hey, who said data visualization can't be fun?)
The strength and significance of this correlation between political leanings and fuel consumption may raise more than a few eyebrows. However, let's not jump the gun and gas up the hype machine just yet. Our findings simply open the door for an exhilarating exchange of ideas and theories regarding the underlying forces at play, enticing scholars and enthusiasts alike to join the conversation.
In essence, our research thrusts this seemingly whimsical association into the spotlight. The connection between Libertarian votes and fuel consumption in a tropical paradise may seem like a cocktail of oddities, but the data speaks for itself. So, fasten your seatbelts and prepare for a spirited journey into the realm of political ideologies and global petrol ponderings. This is one road trip you won't want to miss!

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our research has unveiled a connection more surprising than finding a gas station in the middle of an uninhabited island – the robust correlation between Libertarian votes for Senators in New York and the gasoline pumped in Netherlands Antilles. It appears that the political leanings of New Yorkers have more influence over Caribbean fuel consumption than we ever imagined. Perhaps they're all just preferring to drive on "Liberty Fuel"!

But before we rev up the conspiracy theories, it's crucial to note the limitations of our study. Correlation does not imply causation, and as tempting as it may be to envision New York Senators personally dispatching tanker trucks to the Netherlands Antilles, it's essential to approach these findings with a healthy dose of skepticism and humor.

With that in mind, we firmly assert that no more research is needed in this area. Our findings have already pumped up the discussion around the mysterious intertwining of political ideologies and international energy consumption. It's time to shift gears and explore other mind-boggling connections – like the correlation between ice cream sales and shark attacks, or the relationship between baldness and the consumption of cheese.

In the grand scheme of scholarly pursuits, our exploration of Libertarian largesse and gasoline gags may seem like having a flat tire on the road to academic enlightenment – unexpected, but oh-so-entertaining. So, let's savor this fascinating revelation and eagerly await the next wacky idea that sparks curiosity and sends us on a wild investigative ride!


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 Largesse and Gasoline Gags: A Lively Link. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Political Puns and Economic Euphemisms


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 Largesse and Gasoline Gags: A Lively Link. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Independent Energy Economics and Humor 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 Largesse and Gasoline Gags: A Lively Link with an abstract of The connection between Libertarian votes for Senators in New York and Gasoline pumped in Netherlands Antilles is not just a gas, but a politically charged combination that has long perplexed researchers and pundits alike. In this study, we dive into the data with fervor and found some truly jaw-dropping and eye-popping correlations. Using data from the MIT Election Data and Science Lab, Harvard Dataverse, and Energy Information Administration, our research team uncovered a correlation coefficient of 0.9071881 and p < 0.01 for the years 1980 to 2016. This suggests a strong and statistically significant relationship between these seemingly disparate variables. Our findings may just pump up the volume on the discussion around political ideologies and international energy consumption. So, buckle up and join us on this wild ride through the world of politics and petroleum!

ChatGPT:

Libertarian votes, Senators, New York, Gasoline, Netherlands Antilles, correlation, Republicans, Democrats, political ideologies, international energy consumption, MIT Election Data and Science Lab, Harvard Dataverse, Energy Information Administration, statistics, research, petroleum industry

*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 Libertarian Senators in New York
Detailed data title: Percentage of votes cast for Federal Libertarian Senate candidates in New York
Source: MIT Election Data and Science Lab, Harvard Dataverse
See what else correlates with Votes for Libertarian Senators in New York

Gasoline pumped in Netherlands Antilles
Detailed data title: Volume of gasoline pumped consumed in Netherlands Antilles in millions of barrels per day
Source: Energy Information Administration
See what else correlates with Gasoline pumped in Netherlands Antilles

Correlation r = 0.9071881 (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 = 0.8229902 (Coefficient of determination)
This means 82.3% of the change in the one variable (i.e., Gasoline pumped in Netherlands Antilles) is predictable based on the change in the other (i.e., Votes for Libertarian Senators in New York) over the 10 years from 1980 through 2016.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.00029. 0.0002898574657427017600000000
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 0.91 in 0.029% of random cases. Said differently, if you correlated 3,450 random variables Which I absolutely did.
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.

[ 0.65, 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.
1988199219941998200020042006201020122016
Votes for Libertarian Senators in New York (Percentage of votes)0.1997031.533170.3376380.1647940.06802050.2560880.4466630.9091130.4481620.616879
Gasoline pumped in Netherlands Antilles (Million Barrels/Day)23.5221.911092.004322.126662.220142.021492.066




Why this works

  1. Data dredging: I have 25,237 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 636,906,169 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([0.199703,1.53317,0.337638,0.164794,0.0680205,0.256088,0.446663,0.909113,0.448162,0.616879,])
array_2 = np.array([2,3.5,2,2,1.91109,2.00432,2.12666,2.22014,2.02149,2.066,])
array_1_name = "Votes for Libertarian Senators in New York"
array_2_name = "Gasoline pumped in Netherlands Antilles"

# 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."

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Correlation ID: 5595 · Black Variable ID: 26435 · Red Variable ID: 24741
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