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Spurious correlation #5,422 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Popularity of the first name Cyrus and the second variable is Votes for the Republican Presidential candidate in Tennessee.  The chart goes from 1976 to 2020, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

People subconsciously associated the name Cyrus with the ancient Persian ruler, sparking a wave of admiration for strong, authoritarian leadership. It's as if they couldn't resist the call of the 'Patriarchy in Tennessee'!

Model: dalle-3
Prompt: Generate an image that looks like it is a scene from a Disney movie, portraying a town square in Tennessee. In the center, a large banner with the name Cyrus printed boldly in elegant font is fluttering in the breeze. People are gathered around, engaged in discussions and admiring the name Cyrus. In the background, a political rally for the Republican Presidential candidate is taking place, with festive decorations and a vibrant stage. The atmosphere exudes a charged sense of awe and respect for a strong, authoritative figure. Symbolizing a subconscious association with the ancient Persian ruler, the scene captures the essence of power and admiration. 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: Popularity of the first name Cyrus and Votes for the Republican Presidential candidate in Tennessee. 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: An image that looks like it is a scene from A Disney Movie Photorealism Charcoal Cubism Glitch art
ChatGPT: An image that looks like it is a scene from A Disney Movie

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 Popularity of the first name Cyrus and Votes for the Republican Presidential candidate in Tennessee, in the following situation: People subconsciously associated the name Cyrus with the ancient Persian ruler, sparking a wave of admiration for strong, authoritarian leadership. It's as if they couldn't resist the call of the 'Patriarchy in Tennessee'!. Keep the description simple.
ChatGPT: In a town square in Tennessee, a large banner with the name Cyrus printed boldly is fluttering in the breeze. People are gathered around, discussing and admiring the name Cyrus, while a political rally for the Republican Presidential candidate is taking place in the background. The atmosphere is charged with a sense of awe and respect for a strong, authoritative figure, symbolizing a subconscious association with the ancient Persian ruler.

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: [ An image that looks like it is a scene from A Disney Movie ] and depicting this scene: In a town square in Tennessee, a large banner with the name Cyrus printed boldly is fluttering in the breeze. People are gathered around, discussing and admiring the name Cyrus, while a political rally for the Republican Presidential candidate is taking place in the background. The atmosphere is charged with a sense of awe and respect for a strong, authoritative figure, symbolizing a subconscious association with the ancient Persian ruler. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image that looks like it is a scene from a Disney movie, portraying a town square in Tennessee. In the center, a large banner with the name Cyrus printed boldly in elegant font is fluttering in the breeze. People are gathered around, engaged in discussions and admiring the name Cyrus. In the background, a political rally for the Republican Presidential candidate is taking place, with festive decorations and a vibrant stage. The atmosphere exudes a charged sense of awe and respect for a strong, authoritative figure. Symbolizing a subconscious association with the ancient Persian ruler, the scene captures the essence of power and admiration.

*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 Popularity of the first name Cyrus caused Votes for the Republican Presidential candidate in Tennessee to increase. Add a funny one-liner at the end.

AI academic paper

(Because p < 0.01)
Cyrus, Conservatism, and Correlation: A Comical Connection

The Journal of Laughable Links in Social Science

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 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 Popularity of the first name Cyrus and Votes for the Republican Presidential candidate in Tennessee. Make lots of jokes, goofy observations, and puns.

Make the title an alliteration.

Your research team used data from US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse to assess this nagging question. You found a correlation coefficient of 0.9673898 and p < 0.01 for 1976 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]]
Cyrus, Conservatism, and Correlation: A Comical Connection

[[ABSTRACT]]
In our wacky yet wonderfully scientific study, we delved into the fascinating relationship between the popularity of the first name Cyrus and the votes for the Republican Presidential candidate in Tennessee. With the help of data from the US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse, we set out to quench our thirst for knowledge and fun facts. Lo and behold, we discovered a remarkably high correlation coefficient of 0.9673898 and p < 0.01 for the years 1976 to 2020. Our findings suggest that there is a considerable connection between individuals named Cyrus and their tendency to lean towards conservative voting patterns in the Volunteer State. So, the next time you meet a Cyrus from Tennessee, just remember that they may be part of a statistical trend that's right-leaning!


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

Please make up the introduction section of an academic research paper presenting the findings of the connection between Popularity of the first name Cyrus and Votes for the Republican Presidential candidate in Tennessee. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Here is the title and abstract of the paper:
[[TITLE]]
Cyrus, Conservatism, and Correlation: A Comical Connection

[[ABSTRACT]]
In our wacky yet wonderfully scientific study, we delved into the fascinating relationship between the popularity of the first name Cyrus and the votes for the Republican Presidential candidate in Tennessee. With the help of data from the US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse, we set out to quench our thirst for knowledge and fun facts. Lo and behold, we discovered a remarkably high correlation coefficient of 0.9673898 and p < 0.01 for the years 1976 to 2020. Our findings suggest that there is a considerable connection between individuals named Cyrus and their tendency to lean towards conservative voting patterns in the Volunteer State. So, the next time you meet a Cyrus from Tennessee, just remember that they may be part of a statistical trend that's right-leaning!

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

Ah, the wacky world of research - where seemingly mundane topics uncover unexpected connections that leave us scratching our heads, or clutching our sides with laughter. As curious researchers, we often find ourselves knee-deep in data, crunching numbers, and longing for those eureka moments that make all the statistical gymnastics worth it. In the delightful realm of statistical analysis, where correlations galore and significance levels reign supreme, we stumbled upon a discovery so peculiar, it's bound to raise a few eyebrows and maybe even elicit a chuckle or two.

Picture this: a name as classic and distinguished as "Cyrus" side by side with the dynamic landscape of political preferences in the heart of Tennessee. Sounds like the start of an intriguing mystery novel, right? Well, hold onto your hypotheses, because our whimsical journey into the relationship between the popularity of the name "Cyrus" and the votes for the Republican Presidential candidate in Tennessee is bound to defy expectations and maybe even raise an eyebrow or two.

We embarked on this zany quest armed with data from the US Social Security Administration, the MIT Election Data and Science Lab, and the Harvard Dataverse – because what's a scholarly investigation without a bit of MIT magic and Harvard flair? What we uncovered was nothing short of mind-boggling - a statistically rock-solid correlation coefficient of 0.9673898 with a p-value fueling the excitement at p < 0.01 for the years 1976 to 2020. Yes, you read that right - it seems that the moniker "Cyrus" and the conservative voting tendencies in Tennessee are joined at the hip, statistically speaking, of course.

So, ladies and gentlemen, fasten your seatbelts and prepare for a whimsical ride through the intersection of nomenclature and political inclinations. It's time to unravel the curiously comical connection between Cyrus, conservatism, and correlation – a rollercoaster of a ride that's bound to leave you pondering the quirks of the human mind and the whims of statistical probability!


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

Please make up a literature review section of an academic research paper presenting the findings of the connection between Popularity of the first name Cyrus and Votes for the Republican Presidential candidate in Tennessee. Make lots of jokes, goofy observations, and puns.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then devolve ever further, and mention something completely ridiculous, like you conducted literature review by reading the backs of shampoo bottles.

Here is the title and abstract of the paper:
[[TITLE]]
Cyrus, Conservatism, and Correlation: A Comical Connection

[[ABSTRACT]]
In our wacky yet wonderfully scientific study, we delved into the fascinating relationship between the popularity of the first name Cyrus and the votes for the Republican Presidential candidate in Tennessee. With the help of data from the US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse, we set out to quench our thirst for knowledge and fun facts. Lo and behold, we discovered a remarkably high correlation coefficient of 0.9673898 and p < 0.01 for the years 1976 to 2020. Our findings suggest that there is a considerable connection between individuals named Cyrus and their tendency to lean towards conservative voting patterns in the Volunteer State. So, the next time you meet a Cyrus from Tennessee, just remember that they may be part of a statistical trend that's right-leaning!

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
Ah, the wacky world of research - where seemingly mundane topics uncover unexpected connections that leave us scratching our heads, or clutching our sides with laughter. As curious researchers, we often find ourselves knee-deep in data, crunching numbers, and longing for those eureka moments that make all the statistical gymnastics worth it. In the delightful realm of statistical analysis, where correlations galore and significance levels reign supreme, we stumbled upon a discovery so peculiar, it's bound to raise a few eyebrows and maybe even elicit a chuckle or two.
Picture this: a name as classic and distinguished as "Cyrus" side by side with the dynamic landscape of political preferences in the heart of Tennessee. Sounds like the start of an intriguing mystery novel, right? Well, hold onto your hypotheses, because our whimsical journey into the relationship between the popularity of the name "Cyrus" and the votes for the Republican Presidential candidate in Tennessee is bound to defy expectations and maybe even raise an eyebrow or two.
We embarked on this zany quest armed with data from the US Social Security Administration, the MIT Election Data and Science Lab, and the Harvard Dataverse – because what's a scholarly investigation without a bit of MIT magic and Harvard flair? What we uncovered was nothing short of mind-boggling - a statistically rock-solid correlation coefficient of 0.9673898 with a p-value fueling the excitement at p < 0.01 for the years 1976 to 2020. Yes, you read that right - it seems that the moniker "Cyrus" and the conservative voting tendencies in Tennessee are joined at the hip, statistically speaking, of course.
So, ladies and gentlemen, fasten your seatbelts and prepare for a whimsical ride through the intersection of nomenclature and political inclinations. It's time to unravel the curiously comical connection between Cyrus, conservatism, and correlation – a rollercoaster of a ride that's bound to leave you pondering the quirks of the human mind and the whims of statistical probability!

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

To delve deeper into the wacky world of name semantics and political leanings, we turn to the scholarly efforts of Smith (2015), who initially explored the intriguing connection between names and political affiliations in her work, "The Naming Game: Unearthing the Subconscious Politics of Monikers." Smith's investigation lay the groundwork for our own hair-raising, eyebrow-raising, and possibly even jaw-dropping discovery, paving the way for a wild ride through the landscape of nomenclature and voting behavior.

Doe (2018) further delved into the nexus of societal norms and naming conventions, shedding light on the potential impact of first names on political predispositions with her study, "Name-Dropping: Unraveling the Puzzling Link Between Names and Voting Patterns." With each turn of the page, we found ourselves drawn deeper into the peculiar universe of statistical association, captivated by the allure of uncovering curious correlations and unveiling the mysteries that lie beneath the surface of the seemingly ordinary.

As we journeyed deeper into the realm of curious correlations, we stumbled upon "The Psychology of Political Pseudonyms" by Jones (2017), a captivating exploration of the subconscious influences of names on political behavior. Armed with insights from these formidable scholarly works, we braced ourselves for the mind-bending, sidesplitting revelations that lay ahead - for what is research without a dash of uproarious unpredictability?

Now, pivoting towards non-fiction books that could shed light on the seemingly outrageous connection between the popularity of the name "Cyrus" and political proclivities in Tennessee, we come across "Red States, Blue Names: An Analytical Journey into Name-Based Political Predictors" by Notarealauthor (2019) and "Conservative Conundrums: A Whimsical Walk Through the Wonders of Electoral Eccentricities" by Definitelynotreal (2020). These thought-provoking tomes serve as a delightful springboard for our own comical escapade into the peculiar connection between nomenclature and voting tendencies.

Venturing into the realm of fiction, we stumble upon "Tales of Tennessee: An Enigmatic Exploration of Electoral Enigmas" by Fabricatedwriter (2016) and "Cyrus and the Secret Society of Swing Voters" by Fictitiousauthor (2014). While these fictitious tales may not offer empirical evidence, they certainly tickle the imagination and beckon us to dance on the line between reality and whimsy in our own scholarly pursuits.

And now, in a turn of events that may seem unorthodox, we conducted a whimsical literature review by perusing the back labels of various household products, including cereal boxes, shampoo bottles, and detergent containers. While these sources may not hold the key to unlocking the enigma of the Cyrus-conservatism correlation, they certainly provided moments of levity and inspired us to approach our research with a dash of unconventional humor.


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

Please make up the methodology section of an academic research paper presenting the findings of the connection between Popularity of the first name Cyrus and Votes for the Republican Presidential candidate in Tennessee. Make lots of jokes, goofy observations, and puns. 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 US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse . You used data from 1976 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]]
Cyrus, Conservatism, and Correlation: A Comical Connection

[[ABSTRACT]]
In our wacky yet wonderfully scientific study, we delved into the fascinating relationship between the popularity of the first name Cyrus and the votes for the Republican Presidential candidate in Tennessee. With the help of data from the US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse, we set out to quench our thirst for knowledge and fun facts. Lo and behold, we discovered a remarkably high correlation coefficient of 0.9673898 and p < 0.01 for the years 1976 to 2020. Our findings suggest that there is a considerable connection between individuals named Cyrus and their tendency to lean towards conservative voting patterns in the Volunteer State. So, the next time you meet a Cyrus from Tennessee, just remember that they may be part of a statistical trend that's right-leaning!

[[INTRODUCTION]]
Ah, the wacky world of research - where seemingly mundane topics uncover unexpected connections that leave us scratching our heads, or clutching our sides with laughter. As curious researchers, we often find ourselves knee-deep in data, crunching numbers, and longing for those eureka moments that make all the statistical gymnastics worth it. In the delightful realm of statistical analysis, where correlations galore and significance levels reign supreme, we stumbled upon a discovery so peculiar, it's bound to raise a few eyebrows and maybe even elicit a chuckle or two.
Picture this: a name as classic and distinguished as "Cyrus" side by side with the dynamic landscape of political preferences in the heart of Tennessee. Sounds like the start of an intriguing mystery novel, right? Well, hold onto your hypotheses, because our whimsical journey into the relationship between the popularity of the name "Cyrus" and the votes for the Republican Presidential candidate in Tennessee is bound to defy expectations and maybe even raise an eyebrow or two.
We embarked on this zany quest armed with data from the US Social Security Administration, the MIT Election Data and Science Lab, and the Harvard Dataverse – because what's a scholarly investigation without a bit of MIT magic and Harvard flair? What we uncovered was nothing short of mind-boggling - a statistically rock-solid correlation coefficient of 0.9673898 with a p-value fueling the excitement at p < 0.01 for the years 1976 to 2020. Yes, you read that right - it seems that the moniker "Cyrus" and the conservative voting tendencies in Tennessee are joined at the hip, statistically speaking, of course.
So, ladies and gentlemen, fasten your seatbelts and prepare for a whimsical ride through the intersection of nomenclature and political inclinations. It's time to unravel the curiously comical connection between Cyrus, conservatism, and correlation – a rollercoaster of a ride that's bound to leave you pondering the quirks of the human mind and the whims of statistical probability!

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To unravel the enigmatic connection between the popularity of the name "Cyrus" and the voting patterns for the Republican Presidential candidate in Tennessee, we embarked on a zany journey through the wild and whimsical world of data analysis.

Data Collection:
Our team scoured the dusty shelves of the US Social Security Administration, sifting through heaps of baby names and their popularity over the years. Armed with spreadsheets and a healthy dose of skepticism, we gathered the frequency of the first name "Cyrus" from 1976 to 2020, eager to uncover any tantalizing trends lurking in the annals of nomenclature.

As for the political side of the equation, we dove headfirst into the MIT Election Data and Science Lab, where the political landscapes of Tennessee unfurled before us like a statistical map of intrigue. With data spanning the same time period, we meticulously tracked the votes for the Republican presidential candidate in Tennessee, waving our statistical flags high in the pursuit of correlation-causing clues.

Data Analysis:
With our data in hand, we rolled up our sleeves (metaphorically, of course) and donned our trusty scientific spectacles to peer into the depths of correlation. Utilizing the ever-reliable software packages of our trade, we computed correlation coefficients and conducted inferential statistical tests with the finesse of a magician pulling rabbits out of a hat.

The Statistical Tango:
Ah, the dance of statistics – a symphony of p-values and significance levels, where the tiniest nuances hold the key to uncovering the grand mysteries of human behavior. We performed a Pearson correlation analysis to measure the strength and direction of the relationship between the popularity of the name "Cyrus" and the votes for the Republican Presidential candidate in Tennessee. Leveraging the stalwart tools of statistical inference, we determined the p-value to assess the significance of our findings, eagerly awaiting the moment when the curtain of statistical uncertainty would be drawn back, revealing the whimsical wizardry of correlation.

Limitations:
As with any scientific endeavor, our quest was not without its share of caveats. While our findings point to a remarkable correlation, we acknowledge that correlation does not necessarily imply causation. Furthermore, our analysis is confined to the specific context of Tennessee and may not generalize to other states or regions with the same statistical glee.

In conclusion, our comically adventurous methodology has allowed us to dig deep into the intriguing tapestry of nomenclature and political proclivities, shedding light on the peculiar pairing of the name "Cyrus" and conservative voting tendencies in Tennessee. So, for those skeptics who doubt the whimsical magic of statistical analysis, take heed - it takes a daring spirit, a mischievous mind, and a touch of statistical sorcery to uncover the unexpected connections that lurk beneath the surface of data.


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

Please make up the results section of an academic research paper presenting the findings of the connection between Popularity of the first name Cyrus and Votes for the Republican Presidential candidate in Tennessee. Make lots of jokes, goofy observations, and puns. 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 US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse .

For the time period 1976 to 2020, you found a correlation 0.9673898, r-squared of 0.9358431, 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]]
Cyrus, Conservatism, and Correlation: A Comical Connection

[[ABSTRACT]]
In our wacky yet wonderfully scientific study, we delved into the fascinating relationship between the popularity of the first name Cyrus and the votes for the Republican Presidential candidate in Tennessee. With the help of data from the US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse, we set out to quench our thirst for knowledge and fun facts. Lo and behold, we discovered a remarkably high correlation coefficient of 0.9673898 and p < 0.01 for the years 1976 to 2020. Our findings suggest that there is a considerable connection between individuals named Cyrus and their tendency to lean towards conservative voting patterns in the Volunteer State. So, the next time you meet a Cyrus from Tennessee, just remember that they may be part of a statistical trend that's right-leaning!

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
Ah, the wacky world of research - where seemingly mundane topics uncover unexpected connections that leave us scratching our heads, or clutching our sides with laughter. As curious researchers, we often find ourselves knee-deep in data, crunching numbers, and longing for those eureka moments that make all the statistical gymnastics worth it. In the delightful realm of statistical analysis, where correlations galore and significance levels reign supreme, we stumbled upon a discovery so peculiar, it's bound to raise a few eyebrows and maybe even elicit a chuckle or two.
Picture this: a name as classic and distinguished as "Cyrus" side by side with the dynamic landscape of political preferences in the heart of Tennessee. Sounds like the start of an intriguing mystery novel, right? Well, hold onto your hypotheses, because our whimsical journey into the relationship between the popularity of the name "Cyrus" and the votes for the Republican Presidential candidate in Tennessee is bound to defy expectations and maybe even raise an eyebrow or two.
We embarked on this zany quest armed with data from the US Social Security Administration, the MIT Election Data and Science Lab, and the Harvard Dataverse – because what's a scholarly investigation without a bit of MIT magic and Harvard flair? What we uncovered was nothing short of mind-boggling - a statistically rock-solid correlation coefficient of 0.9673898 with a p-value fueling the excitement at p < 0.01 for the years 1976 to 2020. Yes, you read that right - it seems that the moniker "Cyrus" and the conservative voting tendencies in Tennessee are joined at the hip, statistically speaking, of course.
So, ladies and gentlemen, fasten your seatbelts and prepare for a whimsical ride through the intersection of nomenclature and political inclinations. It's time to unravel the curiously comical connection between Cyrus, conservatism, and correlation – a rollercoaster of a ride that's bound to leave you pondering the quirks of the human mind and the whims of statistical probability!

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The results of our quirky investigation into the enthralling relationship between the popularity of the first name Cyrus and the votes for the Republican Presidential candidate in Tennessee have left us both flabbergasted and tickled pink. After juggling more data than a circus performer on a unicycle, we uncovered a mind-blowing correlation coefficient of 0.9673898, with an r-squared of 0.9358431 for the years spanning 1976 to 2020. The p-value was so tiny it couldn't even be seen by the naked eye, coming in at p < 0.01. It's safe to say that these findings are statistically off the charts, much like a wild amusement park ride through the land of correlations and conservative voting trends.

Behold, the pinnacle of our scientific shenanigans is encapsulated in Figure 1, a scatterplot that visually captures the strong correlation between the popularity of the name Cyrus and the votes for the Republican Presidential candidate in Tennessee. It's a sight to behold, as each data point dances on the plot like a well-choreographed performance, showcasing the unmistakable connection between the two variables.

This peculiar connection has us pondering the quirks of human behavior, as if we stumbled upon a treasure trove of statistical anomalies hidden beneath the surface of everyday life. Who would have thought that a name steeped in history and tradition could be linked, in the world of statistical probabilities, to the political preferences of an entire state? It's like discovering a secret recipe for correlation with a dash of whimsy and a pinch of befuddlement.

Our findings suggest that individuals named Cyrus have exhibited a tendency to align with conservative voting patterns in the Volunteer State. So, the next time you meet a Cyrus from Tennessee, don't be surprised if they're more likely to lean to the right. It's as if statistical tendencies have given birth to a comical caricature of the human condition, where names and political leanings collide in a grand theater of correlation.

In conclusion, our lighthearted yet scientifically rigorous examination has left us with a statistical marvel that is as entertaining as it is thought-provoking. The cozy connection between Cyrus, conservatism, and correlation in Tennessee has sparked a new chapter in the annals of wacky yet insightful research, reminding us that beneath the veneer of ordinary phenomena lies a world of peculiar connections waiting to be uncovered.


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

Please make up the discussion section of an academic research paper presenting the findings of the connection between Popularity of the first name Cyrus and Votes for the Republican Presidential candidate in Tennessee. Make lots of jokes, goofy observations, and puns. 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]]
Cyrus, Conservatism, and Correlation: A Comical Connection

[[ABSTRACT]]
In our wacky yet wonderfully scientific study, we delved into the fascinating relationship between the popularity of the first name Cyrus and the votes for the Republican Presidential candidate in Tennessee. With the help of data from the US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse, we set out to quench our thirst for knowledge and fun facts. Lo and behold, we discovered a remarkably high correlation coefficient of 0.9673898 and p < 0.01 for the years 1976 to 2020. Our findings suggest that there is a considerable connection between individuals named Cyrus and their tendency to lean towards conservative voting patterns in the Volunteer State. So, the next time you meet a Cyrus from Tennessee, just remember that they may be part of a statistical trend that's right-leaning!

[[LITERATURE REVIEW]]
To delve deeper into the wacky world of name semantics and political leanings, we turn to the scholarly efforts of Smith (2015), who initially explored the intriguing connection between names and political affiliations in her work, "The Naming Game: Unearthing the Subconscious Politics of Monikers." Smith's investigation lay the groundwork for our own hair-raising, eyebrow-raising, and possibly even jaw-dropping discovery, paving the way for a wild ride through the landscape of nomenclature and voting behavior.
Doe (2018) further delved into the nexus of societal norms and naming conventions, shedding light on the potential impact of first names on political predispositions with her study, "Name-Dropping: Unraveling the Puzzling Link Between Names and Voting Patterns." With each turn of the page, we found ourselves drawn deeper into the peculiar universe of statistical association, captivated by the allure of uncovering curious correlations and unveiling the mysteries that lie beneath the surface of the seemingly ordinary.
As we journeyed deeper into the realm of curious correlations, we stumbled upon "The Psychology of Political Pseudonyms" by Jones (2017), a captivating exploration of the subconscious influences of names on political behavior. Armed with insights from these formidable scholarly works, we braced ourselves for the mind-bending, sidesplitting revelations that lay ahead - for what is research without a dash of uproarious unpredictability?
Now, pivoting towards non-fiction books that could shed light on the seemingly outrageous connection between the popularity of the name "Cyrus" and political proclivities in Tennessee, we come across "Red States, Blue Names: An Analytical Journey into Name-Based Political Predictors" by Notarealauthor (2019) and "Conservative Conundrums: A Whimsical Walk Through the Wonders of Electoral Eccentricities" by Definitelynotreal (2020). These thought-provoking tomes serve as a delightful springboard for our own comical escapade into the peculiar connection between nomenclature and voting tendencies.
Venturing into the realm of fiction, we stumble upon "Tales of Tennessee: An Enigmatic Exploration of Electoral Enigmas" by Fabricatedwriter (2016) and "Cyrus and the Secret Society of Swing Voters" by Fictitiousauthor (2014). While these fictitious tales may not offer empirical evidence, they certainly tickle the imagination and beckon us to dance on the line between reality and whimsy in our own scholarly pursuits.
And now, in a turn of events that may seem unorthodox, we conducted a whimsical literature review by perusing the back labels of various household products, including cereal boxes, shampoo bottles, and detergent containers. While these sources may not hold the key to unlocking the enigma of the Cyrus-conservatism correlation, they certainly provided moments of levity and inspired us to approach our research with a dash of unconventional humor.

[[RESULTS]]
The results of our quirky investigation into the enthralling relationship between the popularity of the first name Cyrus and the votes for the Republican Presidential candidate in Tennessee have left us both flabbergasted and tickled pink. After juggling more data than a circus performer on a unicycle, we uncovered a mind-blowing correlation coefficient of 0.9673898, with an r-squared of 0.9358431 for the years spanning 1976 to 2020. The p-value was so tiny it couldn't even be seen by the naked eye, coming in at p < 0.01. It's safe to say that these findings are statistically off the charts, much like a wild amusement park ride through the land of correlations and conservative voting trends.
Behold, the pinnacle of our scientific shenanigans is encapsulated in Figure 1, a scatterplot that visually captures the strong correlation between the popularity of the name Cyrus and the votes for the Republican Presidential candidate in Tennessee. It's a sight to behold, as each data point dances on the plot like a well-choreographed performance, showcasing the unmistakable connection between the two variables.
This peculiar connection has us pondering the quirks of human behavior, as if we stumbled upon a treasure trove of statistical anomalies hidden beneath the surface of everyday life. Who would have thought that a name steeped in history and tradition could be linked, in the world of statistical probabilities, to the political preferences of an entire state? It's like discovering a secret recipe for correlation with a dash of whimsy and a pinch of befuddlement.
Our findings suggest that individuals named Cyrus have exhibited a tendency to align with conservative voting patterns in the Volunteer State. So, the next time you meet a Cyrus from Tennessee, don't be surprised if they're more likely to lean to the right. It's as if statistical tendencies have given birth to a comical caricature of the human condition, where names and political leanings collide in a grand theater of correlation.
In conclusion, our lighthearted yet scientifically rigorous examination has left us with a statistical marvel that is as entertaining as it is thought-provoking. The cozy connection between Cyrus, conservatism, and correlation in Tennessee has sparked a new chapter in the annals of wacky yet insightful research, reminding us that beneath the veneer of ordinary phenomena lies a world of peculiar connections waiting to be uncovered.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

Our results continue to boggle the mind as we delve deeper into the comical connection between the popularity of the first name Cyrus and the votes for the Republican Presidential candidate in the great state of Tennessee. Our findings not only add a whimsical spin to the existing literature but also support the eyebrow-raising and jaw-dropping work of our scholarly predecessors.

Smith (2015) laid the foundation for our own laughter-inducing discovery, and our findings, like a witty punchline, breathe life into the previously conceived notion of a connection between names and political leanings. It's as if statistical anomalies and name semantics decided to waltz in the extraordinary ballroom of scientific exploration.

Doe (2018) also led us on a merry chase through the uproarious universe of statistical association, setting the stage for our own statistical extravaganza that uncovered a connection so striking, it's as if the data points themselves exclaimed, "Eureka!"

Now, one may wonder why the name Cyrus and conservative voting tendencies go together like peanut butter and jelly. Perhaps there's a statistical jamboree happening beneath the surface of societal norms and naming conventions, where names morph into predictors of political proclivities.

It's like witnessing a whimsical courtship between variables, where the name Cyrus coyly hints at the voting preferences of an entire state, leading us to ponder the sheer zaniness of statistical probabilities. Our results validate the notion that individuals named Cyrus in Tennessee are inclined towards conservative voting patterns, adding a dash of burlesque comedy to the otherwise serious world of political affiliations.

Our research has awakened the eccentricity of correlation and the hitherto unexplored comedic possibilities of research. It's as if data, like a trickster in the laboratory of statistical inquiry, decided to play a joke on us, revealing an unexpected tale of nomenclature and political predilections.

So, let's raise our beakers to a study that has tickled our statistical fancies, opened our eyes to the loony world of correlations, and left us grinning from ear to ear in the face of statistical intrigue. After all, what is research without a hearty dose of scientific whimsy?


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

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Popularity of the first name Cyrus and Votes for the Republican Presidential candidate in Tennessee. Make lots of jokes, goofy observations, and puns. 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]]
Cyrus, Conservatism, and Correlation: A Comical Connection

[[ABSTRACT]]
In our wacky yet wonderfully scientific study, we delved into the fascinating relationship between the popularity of the first name Cyrus and the votes for the Republican Presidential candidate in Tennessee. With the help of data from the US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse, we set out to quench our thirst for knowledge and fun facts. Lo and behold, we discovered a remarkably high correlation coefficient of 0.9673898 and p < 0.01 for the years 1976 to 2020. Our findings suggest that there is a considerable connection between individuals named Cyrus and their tendency to lean towards conservative voting patterns in the Volunteer State. So, the next time you meet a Cyrus from Tennessee, just remember that they may be part of a statistical trend that's right-leaning!

[[INTRDUCTION]]
Ah, the wacky world of research - where seemingly mundane topics uncover unexpected connections that leave us scratching our heads, or clutching our sides with laughter. As curious researchers, we often find ourselves knee-deep in data, crunching numbers, and longing for those eureka moments that make all the statistical gymnastics worth it. In the delightful realm of statistical analysis, where correlations galore and significance levels reign supreme, we stumbled upon a discovery so peculiar, it's bound to raise a few eyebrows and maybe even elicit a chuckle or two.
Picture this: a name as classic and distinguished as "Cyrus" side by side with the dynamic landscape of political preferences in the heart of Tennessee. Sounds like the start of an intriguing mystery novel, right? Well, hold onto your hypotheses, because our whimsical journey into the relationship between the popularity of the name "Cyrus" and the votes for the Republican Presidential candidate in Tennessee is bound to defy expectations and maybe even raise an eyebrow or two.
We embarked on this zany quest armed with data from the US Social Security Administration, the MIT Election Data and Science Lab, and the Harvard Dataverse – because what's a scholarly investigation without a bit of MIT magic and Harvard flair? What we uncovered was nothing short of mind-boggling - a statistically rock-solid correlation coefficient of 0.9673898 with a p-value fueling the excitement at p < 0.01 for the years 1976 to 2020. Yes, you read that right - it seems that the moniker "Cyrus" and the conservative voting tendencies in Tennessee are joined at the hip, statistically speaking, of course.
So, ladies and gentlemen, fasten your seatbelts and prepare for a whimsical ride through the intersection of nomenclature and political inclinations. It's time to unravel the curiously comical connection between Cyrus, conservatism, and correlation – a rollercoaster of a ride that's bound to leave you pondering the quirks of the human mind and the whims of statistical probability!

[[RESULTS]]
The results of our quirky investigation into the enthralling relationship between the popularity of the first name Cyrus and the votes for the Republican Presidential candidate in Tennessee have left us both flabbergasted and tickled pink. After juggling more data than a circus performer on a unicycle, we uncovered a mind-blowing correlation coefficient of 0.9673898, with an r-squared of 0.9358431 for the years spanning 1976 to 2020. The p-value was so tiny it couldn't even be seen by the naked eye, coming in at p < 0.01. It's safe to say that these findings are statistically off the charts, much like a wild amusement park ride through the land of correlations and conservative voting trends.
Behold, the pinnacle of our scientific shenanigans is encapsulated in Figure 1, a scatterplot that visually captures the strong correlation between the popularity of the name Cyrus and the votes for the Republican Presidential candidate in Tennessee. It's a sight to behold, as each data point dances on the plot like a well-choreographed performance, showcasing the unmistakable connection between the two variables.
This peculiar connection has us pondering the quirks of human behavior, as if we stumbled upon a treasure trove of statistical anomalies hidden beneath the surface of everyday life. Who would have thought that a name steeped in history and tradition could be linked, in the world of statistical probabilities, to the political preferences of an entire state? It's like discovering a secret recipe for correlation with a dash of whimsy and a pinch of befuddlement.
Our findings suggest that individuals named Cyrus have exhibited a tendency to align with conservative voting patterns in the Volunteer State. So, the next time you meet a Cyrus from Tennessee, don't be surprised if they're more likely to lean to the right. It's as if statistical tendencies have given birth to a comical caricature of the human condition, where names and political leanings collide in a grand theater of correlation.
In conclusion, our lighthearted yet scientifically rigorous examination has left us with a statistical marvel that is as entertaining as it is thought-provoking. The cozy connection between Cyrus, conservatism, and correlation in Tennessee has sparked a new chapter in the annals of wacky yet insightful research, reminding us that beneath the veneer of ordinary phenomena lies a world of peculiar connections waiting to be uncovered.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In a world where statistical surprises lurk around every corner, our zany investigation has shed light on the comical connection between the popularity of the first name Cyrus and the votes for the Republican Presidential candidate in Tennessee. The correlation coefficient of 0.9673898 and a minuscule p-value of p < 0.01 for the years 1976 to 2020 have left us feeling like we stumbled upon a statistical gold mine, a treasure trove of quirks and chuckles in the world of scholarly inquiries. It's as if the laws of statistical probability took a whimsical turn, revealing a correlation so strong it may as well have been wearing an "I heart conservatism" t-shirt.

As we bid adieu to this wacky yet wonderfully scientific journey, we can't help but marvel at the peculiar twists and turns that lie within the realm of research and statistical exploration. It's like we stumbled upon a secret recipe for uncovering correlations, with a pinch of statistical magic and a dash of improbable absurdity.

So, dear scholarly friends and enthusiasts, it's time to raise a toast to this statistically delightful escapade and bid adieu to our quest to unravel the curious correlation between Cyrus, conservatism, and correlation in Tennessee. We're confident that no more research is needed on this jocular journey through statistical tomfoolery.


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 Cyrus, Conservatism, and Correlation: A Comical Connection. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Laughable Links in Social Science


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 Cyrus, Conservatism, and Correlation: A Comical Connection. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Zany Political 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 Cyrus, Conservatism, and Correlation: A Comical Connection with an abstract of In our wacky yet wonderfully scientific study, we delved into the fascinating relationship between the popularity of the first name Cyrus and the votes for the Republican Presidential candidate in Tennessee. With the help of data from the US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse, we set out to quench our thirst for knowledge and fun facts. Lo and behold, we discovered a remarkably high correlation coefficient of 0.9673898 and p < 0.01 for the years 1976 to 2020. Our findings suggest that there is a considerable connection between individuals named Cyrus and their tendency to lean towards conservative voting patterns in the Volunteer State. So, the next time you meet a Cyrus from Tennessee, just remember that they may be part of a statistical trend that's right-leaning!

ChatGPT:

Cyrus popularity, Republican votes, Tennessee, US Social Security Administration data, MIT Election Data and Science Lab, Harvard Dataverse, correlation coefficient, conservative voting, Volunteer State, statistical trend

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



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Data details

Popularity of the first name Cyrus
Detailed data title: Babies of all sexes born in the US named Cyrus
Source: US Social Security Administration
See what else correlates with Popularity of the first name Cyrus

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

Correlation r = 0.9673898 (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 = 0.9358431 (Coefficient of determination)
This means 93.6% of the change in the one variable (i.e., Votes for the Republican Presidential candidate in Tennessee) is predictable based on the change in the other (i.e., Popularity of the first name Cyrus) over the 12 years from 1976 through 2020.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 2.7E-7. 0.0000002749561570364647000000
The p-value is a measure of how probable it is that we would randomly find a result this extreme. More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.

But I am a p-villain. I absolutely did not test only one pair of variables one time. I correlated hundreds of millions of pairs of variables. I threw boatloads of data into an industrial-sized blender to find this correlation.

Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.97 in 2.7E-5% of random cases. Said differently, if you correlated 3,636,943 random variables You don't actually need 3 million variables to find a correlation like this one. I don't have that many variables in my database. 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.

In this particular case, the values are so extreme as to be meaningless. That's why no one reports p-values with specificity after they drop below 0.01.

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 11 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 11 because we have two variables measured over a period of 12 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.

[ 0.88, 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.
197619801984198819921996200020042008201220162020
Popularity of the first name Cyrus (Babies born)77160161166200209397473539583732852
Votes for the Republican Presidential candidate in Tennessee (Total votes)633969787761990212947233841300863530106195013843801479180146233015229201852480




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. Confounding variable: 2020 is particularly different from the other years on this graph. Confounding variables (like global pandemics) will cause two variables to look connected when in fact a "sneaky third" variable is influencing both of them behind the scenes.




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([77,160,161,166,200,209,397,473,539,583,732,852,])
array_2 = np.array([633969,787761,990212,947233,841300,863530,1061950,1384380,1479180,1462330,1522920,1852480,])
array_1_name = "Popularity of the first name Cyrus"
array_2_name = "Votes for the Republican Presidential candidate in Tennessee"

# 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: 5422 · Black Variable ID: 3612 · Red Variable ID: 26033
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