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Spurious correlation #4,333 · 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 Regina and the second variable is How fun Casually Explained YouTube video titles are.  The chart goes from 2015 to 2022, and the two variables track closely in value over that time. Small Image
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AI explanation

As more parents named their daughters Regina, the overall level of regal behavior in the population rose. This led to a spike in people insisting on a more proper and formal tone even in casual settings, inadvertently affecting the creativity and fun in the video titles. It seems the 'queenly' influence of the name didn't 'reign' it in!

Model: dalle-3
Prompt: [Style: Whimsical illustration] In a bustling town square, groups of people are chatting and laughing. A line of mothers proudly introduces their daughters, all named Regina, to passersby. As the name Regina becomes more popular, a regal aura seems to permeate the air. The casual atmosphere noticeably shifts, with people adopting a more formal and proper tone in their interactions. Meanwhile, over at a nearby bulletin board, a YouTuber struggles to come up with fun and casual titles for his videos, as the influence of the regal behavior inadvertently affects the creativity and vibrancy of his work. Enhanced Image Generation Prompt: In a charming town square bustling with lively activity, imagine a delightful scene where groups of people are engaged in animated conversations, with smiles and laughter filling the air. Among them, a line of elegant mothers proudly present their daughters, all named Regina, to curious onlookers. As the name Regina gains prominence, a palpable sense of regality emanates from the scene, causing a subtle shift in the atmosphere. The once casual ambiance transforms into an air of formality and propriety, evident in the refined mannerisms of the townsfolk. Meanwhile, nearby, envision a comical scenario at a colorful bulletin board, where a whimsical YouTuber is depicted with a perplexed expression. Struggling to brainstorm fun and lighthearted titles for his videos, his creative process paradoxically falters under the unexpected influence of the regal aura. The colorful surroundings mirror the clash between the traditional and the contemporary, capturing the whimsical essence of the lively town square. 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 Regina and How fun Casually Explained YouTube video titles are. 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: Pop art Concept art Whimsical illustration 3D Pixar Style Minimalism
ChatGPT: Whimsical illustration

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 Regina and How fun Casually Explained YouTube video titles are, in the following situation: As more parents named their daughters Regina, the overall level of regal behavior in the population rose. This led to a spike in people insisting on a more proper and formal tone even in casual settings, inadvertently affecting the creativity and fun in the video titles. It seems the 'queenly' influence of the name didn't 'reign' it in!. Keep the description simple.
ChatGPT: In a bustling town square, groups of people are chatting and laughing. A line of mothers proudly introduces their daughters, all named Regina, to passersby. As the name Regina becomes more popular, a regal aura seems to permeate the air. The casual atmosphere noticeably shifts, with people adopting a more formal and proper tone in their interactions. Meanwhile, over at a nearby bulletin board, a YouTuber struggles to come up with fun and casual titles for his videos, as the influence of the regal behavior inadvertently affects the creativity and vibrancy of his work.

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: [ Whimsical illustration ] and depicting this scene: In a bustling town square, groups of people are chatting and laughing. A line of mothers proudly introduces their daughters, all named Regina, to passersby. As the name Regina becomes more popular, a regal aura seems to permeate the air. The casual atmosphere noticeably shifts, with people adopting a more formal and proper tone in their interactions. Meanwhile, over at a nearby bulletin board, a YouTuber struggles to come up with fun and casual titles for his videos, as the influence of the regal behavior inadvertently affects the creativity and vibrancy of his work. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: [Style: Whimsical illustration] In a bustling town square, groups of people are chatting and laughing. A line of mothers proudly introduces their daughters, all named Regina, to passersby. As the name Regina becomes more popular, a regal aura seems to permeate the air. The casual atmosphere noticeably shifts, with people adopting a more formal and proper tone in their interactions. Meanwhile, over at a nearby bulletin board, a YouTuber struggles to come up with fun and casual titles for his videos, as the influence of the regal behavior inadvertently affects the creativity and vibrancy of his work. Enhanced Image Generation Prompt: In a charming town square bustling with lively activity, imagine a delightful scene where groups of people are engaged in animated conversations, with smiles and laughter filling the air. Among them, a line of elegant mothers proudly present their daughters, all named Regina, to curious onlookers. As the name Regina gains prominence, a palpable sense of regality emanates from the scene, causing a subtle shift in the atmosphere. The once casual ambiance transforms into an air of formality and propriety, evident in the refined mannerisms of the townsfolk. Meanwhile, nearby, envision a comical scenario at a colorful bulletin board, where a whimsical YouTuber is depicted with a perplexed expression. Struggling to brainstorm fun and lighthearted titles for his videos, his creative process paradoxically falters under the unexpected influence of the regal aura. The colorful surroundings mirror the clash between the traditional and the contemporary, capturing the whimsical essence of the lively town square.

*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 Regina caused How fun Casually Explained YouTube video titles are to decrease. Include one good pun.

AI academic paper

(Because p < 0.05)
Regina-phobic Revelations: A Statistical Analysis of the Relationship Between the Popularity of the First Name Regina and the Entertainment Value of Casually Explained YouTube Video Titles

The Journal of Lighthearted Linguistics

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 Popularity of the first name Regina and How fun Casually Explained YouTube video titles are. Make lots of jokes, goofy observations, and puns.

Make the title punny if you can come up with clever pun. If not, make it sound serious.

Your research team used data from US Social Security Administration and AI analysis of YouTube video titles to assess this nagging question. You found a correlation coefficient of -0.7241007 and p < 0.05 for 2015 to 2022.

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]]
Regina-phobic Revelations: A Statistical Analysis of the Relationship Between the Popularity of the First Name Regina and the Entertainment Value of Casually Explained YouTube Video Titles

[[ABSTRACT]]
The interconnected worlds of nomenclature and digital content creation have long been a source of speculation and curiosity. In this study, we delve into the enigmatic correlation between the prevalence of the name Regina and the comedic appeal of titles in YouTube videos created by the ever-entertaining Casually Explained. Utilizing data from the US Social Security Administration and employing advanced AI analysis, we calculated a substantial negative correlation coefficient of -0.7241007 (p < 0.05) based on information spanning the years 2015 to 2022. Our findings not only provide empirical evidence of the impact of nomenclature on the entertainment industry, but also offer a lighthearted perspective on the delightful complexities of human behavior and pop culture.


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 Popularity of the first name Regina and How fun Casually Explained YouTube video titles are. 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]]
Regina-phobic Revelations: A Statistical Analysis of the Relationship Between the Popularity of the First Name Regina and the Entertainment Value of Casually Explained YouTube Video Titles

[[ABSTRACT]]
The interconnected worlds of nomenclature and digital content creation have long been a source of speculation and curiosity. In this study, we delve into the enigmatic correlation between the prevalence of the name Regina and the comedic appeal of titles in YouTube videos created by the ever-entertaining Casually Explained. Utilizing data from the US Social Security Administration and employing advanced AI analysis, we calculated a substantial negative correlation coefficient of -0.7241007 (p < 0.05) based on information spanning the years 2015 to 2022. Our findings not only provide empirical evidence of the impact of nomenclature on the entertainment industry, but also offer a lighthearted perspective on the delightful complexities of human behavior and pop culture.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
Ladies and gentlemen, esteemed colleagues, and fellow lovers of statistical mischief, we embark on a journey to unravel the perplexing relationship between the popularity of the first name Regina and the whimsical allure of Casually Explained YouTube video titles. As we peer into the intriguing realm of nomenclature and internet humor, one cannot help but indulge in a hearty chuckle at the charming potential correlations that thrive in the midst of data analytics and online entertainment.

It is no secret that the name Regina exudes an air of regal sophistication, evoking images of majestic thrones and grandiose parades. Conversely, the tongue-in-cheek, nonchalant brilliance of Casually Explained video titles lends itself to an entirely different vibe - one that can only be described as a delightful blend of sarcasm and whimsy.

In the sacred halls of statistical analysis, where p-values reign and uncertainty trembles, we bravely venture forth armed with our trusty algorithms and a generous sprinkle of comedic musings. A keen eye for detail, a taste for the absurd, and a healthy appreciation for the nuances of human behavior fuel our quest to make sense of the seemingly absurd pairing of a name fit for royalty and the playful essence of YouTube clickbait.

As we navigate through the colorful landscape of data exploration, let us not forget that behind every number and variable lies a whimsical anecdote, a surprise waiting to be unraveled, or a pun yearning to be unleashed. With alacrity and a playful demeanor, we set out to illuminate the hidden gems that lay beneath the surface of seemingly unrelated phenomena. So, buckle up, dear readers, and prepare to embark on a statistical romp through the kingdoms of nomenclature and online hilarity.


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 Popularity of the first name Regina and How fun Casually Explained YouTube video titles are. 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 few real TV shows that sound like they might be relevant to the topic that you watched as research.

Here is the title and abstract of the paper:
[[TITLE]]
Regina-phobic Revelations: A Statistical Analysis of the Relationship Between the Popularity of the First Name Regina and the Entertainment Value of Casually Explained YouTube Video Titles

[[ABSTRACT]]
The interconnected worlds of nomenclature and digital content creation have long been a source of speculation and curiosity. In this study, we delve into the enigmatic correlation between the prevalence of the name Regina and the comedic appeal of titles in YouTube videos created by the ever-entertaining Casually Explained. Utilizing data from the US Social Security Administration and employing advanced AI analysis, we calculated a substantial negative correlation coefficient of -0.7241007 (p < 0.05) based on information spanning the years 2015 to 2022. Our findings not only provide empirical evidence of the impact of nomenclature on the entertainment industry, but also offer a lighthearted perspective on the delightful complexities of human behavior and pop culture.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
Ladies and gentlemen, esteemed colleagues, and fellow lovers of statistical mischief, we embark on a journey to unravel the perplexing relationship between the popularity of the first name Regina and the whimsical allure of Casually Explained YouTube video titles. As we peer into the intriguing realm of nomenclature and internet humor, one cannot help but indulge in a hearty chuckle at the charming potential correlations that thrive in the midst of data analytics and online entertainment.
It is no secret that the name Regina exudes an air of regal sophistication, evoking images of majestic thrones and grandiose parades. Conversely, the tongue-in-cheek, nonchalant brilliance of Casually Explained video titles lends itself to an entirely different vibe - one that can only be described as a delightful blend of sarcasm and whimsy.
In the sacred halls of statistical analysis, where p-values reign and uncertainty trembles, we bravely venture forth armed with our trusty algorithms and a generous sprinkle of comedic musings. A keen eye for detail, a taste for the absurd, and a healthy appreciation for the nuances of human behavior fuel our quest to make sense of the seemingly absurd pairing of a name fit for royalty and the playful essence of YouTube clickbait.
As we navigate through the colorful landscape of data exploration, let us not forget that behind every number and variable lies a whimsical anecdote, a surprise waiting to be unraveled, or a pun yearning to be unleashed. With alacrity and a playful demeanor, we set out to illuminate the hidden gems that lay beneath the surface of seemingly unrelated phenomena. So, buckle up, dear readers, and prepare to embark on a statistical romp through the kingdoms of nomenclature and online hilarity.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

As we immerse ourselves in the whimsical and slightly odd world of our investigation, let us first delve into the scholarly literature that has paved the way for our undertaking. Smith and Doe's seminal work, "The Psychology of Names," provides a comprehensive overview of the impact of nomenclature on the psyche, offering intriguing insights into the potential influence of a person's name on their sense of humor. Similarly, Jones et al.'s "Nomenclature and Cultural Signifiers" delves into the societal implications of names, hinting at the intriguing dance between nomenclature and entertainment values.

Shifting our gaze to a more lighthearted avenue of exploration, the works of acclaimed non-fiction authors such as Malcolm Gladwell's "The Tipping Point" and Steven Levitt's "Freakonomics" offer a quirky lens through which to view seemingly disparate phenomena. These books bring an element of levity to the often rigid realm of statistical analysis, reminding us that behind every correlation lies an element of delightful absurdity waiting to be uncovered.

Venturing further into the realms of fiction, the whimsical tales of "Ella Enchanted" by Gail Carson Levine and "Matilda" by Roald Dahl beckon us into the realm of fantastical nomenclature and its potential connection to humor. As we tiptoe through these imaginative narratives, we find ourselves pondering the delightful enigma of names and their hidden powers to spark mirth and amusement.

To further steep ourselves in the world of internet humor, the authors have undertaken rigorous and wholehearted viewing of TV shows such as "The Office," "Parks and Recreation," and "Brooklyn Nine-Nine." In these delightful series, we observed firsthand the nuances of comedic timing and the infectious charm of playful wordplay, all of which have only served to fuel our curiosity and add a sprinkling of mirth to our research pursuits.

With this eclectic array of literature and pop culture influences as our compass, we set sail into the uncharted waters of statistical analysis with a gleeful spirit and a readiness to uncover the unexpected. Let the hilarity commence!


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 Popularity of the first name Regina and How fun Casually Explained YouTube video titles are. 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 AI analysis of YouTube video titles . You used data from 2015 to 2022

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]]
Regina-phobic Revelations: A Statistical Analysis of the Relationship Between the Popularity of the First Name Regina and the Entertainment Value of Casually Explained YouTube Video Titles

[[ABSTRACT]]
The interconnected worlds of nomenclature and digital content creation have long been a source of speculation and curiosity. In this study, we delve into the enigmatic correlation between the prevalence of the name Regina and the comedic appeal of titles in YouTube videos created by the ever-entertaining Casually Explained. Utilizing data from the US Social Security Administration and employing advanced AI analysis, we calculated a substantial negative correlation coefficient of -0.7241007 (p < 0.05) based on information spanning the years 2015 to 2022. Our findings not only provide empirical evidence of the impact of nomenclature on the entertainment industry, but also offer a lighthearted perspective on the delightful complexities of human behavior and pop culture.

[[INTRODUCTION]]
Ladies and gentlemen, esteemed colleagues, and fellow lovers of statistical mischief, we embark on a journey to unravel the perplexing relationship between the popularity of the first name Regina and the whimsical allure of Casually Explained YouTube video titles. As we peer into the intriguing realm of nomenclature and internet humor, one cannot help but indulge in a hearty chuckle at the charming potential correlations that thrive in the midst of data analytics and online entertainment.
It is no secret that the name Regina exudes an air of regal sophistication, evoking images of majestic thrones and grandiose parades. Conversely, the tongue-in-cheek, nonchalant brilliance of Casually Explained video titles lends itself to an entirely different vibe - one that can only be described as a delightful blend of sarcasm and whimsy.
In the sacred halls of statistical analysis, where p-values reign and uncertainty trembles, we bravely venture forth armed with our trusty algorithms and a generous sprinkle of comedic musings. A keen eye for detail, a taste for the absurd, and a healthy appreciation for the nuances of human behavior fuel our quest to make sense of the seemingly absurd pairing of a name fit for royalty and the playful essence of YouTube clickbait.
As we navigate through the colorful landscape of data exploration, let us not forget that behind every number and variable lies a whimsical anecdote, a surprise waiting to be unraveled, or a pun yearning to be unleashed. With alacrity and a playful demeanor, we set out to illuminate the hidden gems that lay beneath the surface of seemingly unrelated phenomena. So, buckle up, dear readers, and prepare to embark on a statistical romp through the kingdoms of nomenclature and online hilarity.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To wrangle the seemingly divergent domains of nomenclature and digital amusement into a harmonious union, our methodology was as delightfully convoluted as a word puzzle with a punchline. First, we acquired data on the frequency of the name "Regina" from the United States Social Security Administration, meticulously combing through years of name popularity records with the fervor of a detective solving a pun-ishing mystery. The years 2015 to 2022 served as our tantalizingly robust sample period, allowing us to capture the ebbs and flows of Regina's reign over nomenclature.

Next, in our pursuit to measure the comedic appeal of Casually Explained YouTube video titles, we turned to the AI oracle, training advanced artificial intelligence (AI) algorithms to analyze the linguistic frivolity present in the plethora of video titles produced by the aforementioned internet luminary. The AI, armed with a penchant for puns and an affinity for the absurd, surveyed the linguistic landscape of YouTube video titles with the precision of a stand-up comedian crafting the perfect punchline.

To quantify the relationship between Regina's popularity and the chuckle-inducing nature of Casually Explained video titles, we deployed a statistical colossus, wielding the formidable power of correlation analysis. Our trusty statistical companion computed the correlation coefficient, akin to a scientific matchmaker determining the compatibility quotient between nomenclature and online amusement. From there, we navigated the labyrinth of p-values and significance thresholds, sifting through the data to unearth the intricate dance of numbers that elicits a knowing nod and a quirk of the lips.

Moreover, to ensure the robustness of our findings, we frolicked into the whimsical world of sensitivity analyses, probing the depths of our statistical universe to ascertain the stability of our results across various subgroups and time periods. Like a comedic duo testing jokes on different audiences, these sensitivity analyses sought to verify the consistency of our findings, irrespective of demographic nuances or temporal shifts.

Embracing the peculiar elegance of our eccentric methodology, we gallivanted through the amalgamated realms of nomenclature and lighthearted entertainment with a twinkle in our eyes and a statistical flair for the unexpected. The ensuing analysis, wrought with the glee of uncovering serendipitous links and pondering the imponderable, encapsulates the essence of our scientific dalliance into the delightful interplay of data and jest.


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 Popularity of the first name Regina and How fun Casually Explained YouTube video titles are. 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 AI analysis of YouTube video titles .

For the time period 2015 to 2022, you found a correlation -0.7241007, r-squared of 0.5243218, and p < 0.05.

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]]
Regina-phobic Revelations: A Statistical Analysis of the Relationship Between the Popularity of the First Name Regina and the Entertainment Value of Casually Explained YouTube Video Titles

[[ABSTRACT]]
The interconnected worlds of nomenclature and digital content creation have long been a source of speculation and curiosity. In this study, we delve into the enigmatic correlation between the prevalence of the name Regina and the comedic appeal of titles in YouTube videos created by the ever-entertaining Casually Explained. Utilizing data from the US Social Security Administration and employing advanced AI analysis, we calculated a substantial negative correlation coefficient of -0.7241007 (p < 0.05) based on information spanning the years 2015 to 2022. Our findings not only provide empirical evidence of the impact of nomenclature on the entertainment industry, but also offer a lighthearted perspective on the delightful complexities of human behavior and pop culture.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
Ladies and gentlemen, esteemed colleagues, and fellow lovers of statistical mischief, we embark on a journey to unravel the perplexing relationship between the popularity of the first name Regina and the whimsical allure of Casually Explained YouTube video titles. As we peer into the intriguing realm of nomenclature and internet humor, one cannot help but indulge in a hearty chuckle at the charming potential correlations that thrive in the midst of data analytics and online entertainment.
It is no secret that the name Regina exudes an air of regal sophistication, evoking images of majestic thrones and grandiose parades. Conversely, the tongue-in-cheek, nonchalant brilliance of Casually Explained video titles lends itself to an entirely different vibe - one that can only be described as a delightful blend of sarcasm and whimsy.
In the sacred halls of statistical analysis, where p-values reign and uncertainty trembles, we bravely venture forth armed with our trusty algorithms and a generous sprinkle of comedic musings. A keen eye for detail, a taste for the absurd, and a healthy appreciation for the nuances of human behavior fuel our quest to make sense of the seemingly absurd pairing of a name fit for royalty and the playful essence of YouTube clickbait.
As we navigate through the colorful landscape of data exploration, let us not forget that behind every number and variable lies a whimsical anecdote, a surprise waiting to be unraveled, or a pun yearning to be unleashed. With alacrity and a playful demeanor, we set out to illuminate the hidden gems that lay beneath the surface of seemingly unrelated phenomena. So, buckle up, dear readers, and prepare to embark on a statistical romp through the kingdoms of nomenclature and online hilarity.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

In our quest to demystify the inexplicable link between the name Regina and the comical allure of Casually Explained YouTube video titles, we unearthed a statistical revelation of epic proportions. Our analysis revealed a robust negative correlation coefficient of -0.7241007 between the two variables, with an r-squared value of 0.5243218, and a p-value less than 0.05. This significant correlation left us in a state of bemused astonishment, akin to stumbling upon a rare species of statistical unicorn frolicking in the realms of data analysis.

The negative correlation suggests that as the popularity of the name Regina waxes, the whimsical nature of Casually Explained video titles wanes, and vice versa. It's as if the very essence of statistical humor conspired to play a cosmic prank on the unsuspecting populace, leaving us flabbergasted at the sheer quirkiness of our findings.

Our exploration culminates in a vivid depiction of this correlation through Fig. 1, where a scatterplot unfurls before the viewer's eyes like a whimsical tapestry of numbers and delight. The data points dance across the plot, orchestrating a symphony of interconnectedness that resonates with the faint echoes of our infectious mirth.

It is indeed a testament to the marvels of statistical analysis that we can uncover such captivating nuggets of insight while simultaneously marveling at the amusing idiosyncrasies of human behavior. Our findings not only shed light on the peculiar relationship between nomenclature and digital content, but also underscore the enchanting complexities that underpin the delightful landscape of pop culture.

In the end, we stand in awe of the mirthful union between the name Regina and the ebullient charm of Casually Explained video titles, marveling at the wondrously absurd connections that emerge when statistical musings and online entertainment collide in a jocular tango of data and humor.


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 Popularity of the first name Regina and How fun Casually Explained YouTube video titles are. 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]]
Regina-phobic Revelations: A Statistical Analysis of the Relationship Between the Popularity of the First Name Regina and the Entertainment Value of Casually Explained YouTube Video Titles

[[ABSTRACT]]
The interconnected worlds of nomenclature and digital content creation have long been a source of speculation and curiosity. In this study, we delve into the enigmatic correlation between the prevalence of the name Regina and the comedic appeal of titles in YouTube videos created by the ever-entertaining Casually Explained. Utilizing data from the US Social Security Administration and employing advanced AI analysis, we calculated a substantial negative correlation coefficient of -0.7241007 (p < 0.05) based on information spanning the years 2015 to 2022. Our findings not only provide empirical evidence of the impact of nomenclature on the entertainment industry, but also offer a lighthearted perspective on the delightful complexities of human behavior and pop culture.

[[LITERATURE REVIEW]]
As we immerse ourselves in the whimsical and slightly odd world of our investigation, let us first delve into the scholarly literature that has paved the way for our undertaking. Smith and Doe's seminal work, "The Psychology of Names," provides a comprehensive overview of the impact of nomenclature on the psyche, offering intriguing insights into the potential influence of a person's name on their sense of humor. Similarly, Jones et al.'s "Nomenclature and Cultural Signifiers" delves into the societal implications of names, hinting at the intriguing dance between nomenclature and entertainment values.
Shifting our gaze to a more lighthearted avenue of exploration, the works of acclaimed non-fiction authors such as Malcolm Gladwell's "The Tipping Point" and Steven Levitt's "Freakonomics" offer a quirky lens through which to view seemingly disparate phenomena. These books bring an element of levity to the often rigid realm of statistical analysis, reminding us that behind every correlation lies an element of delightful absurdity waiting to be uncovered.
Venturing further into the realms of fiction, the whimsical tales of "Ella Enchanted" by Gail Carson Levine and "Matilda" by Roald Dahl beckon us into the realm of fantastical nomenclature and its potential connection to humor. As we tiptoe through these imaginative narratives, we find ourselves pondering the delightful enigma of names and their hidden powers to spark mirth and amusement.
To further steep ourselves in the world of internet humor, the authors have undertaken rigorous and wholehearted viewing of TV shows such as "The Office," "Parks and Recreation," and "Brooklyn Nine-Nine." In these delightful series, we observed firsthand the nuances of comedic timing and the infectious charm of playful wordplay, all of which have only served to fuel our curiosity and add a sprinkling of mirth to our research pursuits.
With this eclectic array of literature and pop culture influences as our compass, we set sail into the uncharted waters of statistical analysis with a gleeful spirit and a readiness to uncover the unexpected. Let the hilarity commence!

[[RESULTS]]
In our quest to demystify the inexplicable link between the name Regina and the comical allure of Casually Explained YouTube video titles, we unearthed a statistical revelation of epic proportions. Our analysis revealed a robust negative correlation coefficient of -0.7241007 between the two variables, with an r-squared value of 0.5243218, and a p-value less than 0.05. This significant correlation left us in a state of bemused astonishment, akin to stumbling upon a rare species of statistical unicorn frolicking in the realms of data analysis.
The negative correlation suggests that as the popularity of the name Regina waxes, the whimsical nature of Casually Explained video titles wanes, and vice versa. It's as if the very essence of statistical humor conspired to play a cosmic prank on the unsuspecting populace, leaving us flabbergasted at the sheer quirkiness of our findings.
Our exploration culminates in a vivid depiction of this correlation through Fig. 1, where a scatterplot unfurls before the viewer's eyes like a whimsical tapestry of numbers and delight. The data points dance across the plot, orchestrating a symphony of interconnectedness that resonates with the faint echoes of our infectious mirth.
It is indeed a testament to the marvels of statistical analysis that we can uncover such captivating nuggets of insight while simultaneously marveling at the amusing idiosyncrasies of human behavior. Our findings not only shed light on the peculiar relationship between nomenclature and digital content, but also underscore the enchanting complexities that underpin the delightful landscape of pop culture.
In the end, we stand in awe of the mirthful union between the name Regina and the ebullient charm of Casually Explained video titles, marveling at the wondrously absurd connections that emerge when statistical musings and online entertainment collide in a jocular tango of data and humor.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

The results of our investigation have left us in a state of bewilderment, akin to stumbling upon a rare species of statistical unicorn frolicking in the realms of data analysis. Our findings reveal a substantial negative correlation between the popularity of the name Regina and the jocular allure of Casually Explained video titles. This suggests that as the prevalence of the name Regina waxes, the comical nature of the video titles wanes, and vice versa. It's as if the very essence of statistical humor conspired to play a cosmic prank on the unsuspecting populace, leaving us flabbergasted at the sheer quirkiness of our findings.

In our pursuit to decode this enigmatic correlation, our results corroborate previous research that has explored the impact of nomenclature on human behavior and entertainment values. Smith and Doe's groundbreaking work on "The Psychology of Names" aligns with our findings, hinting at the potential influence of a person's name on their sense of humor. Similarly, Jones et al.'s "Nomenclature and Cultural Signifiers" provides further credence to our results, shedding light on the intriguing dance between nomenclature and entertainment values. These scholarly works serve as a lighthearted testament to the captivating interplay between nomenclature and humor, proving that statistical analysis can unearth the most amusing connections.

Furthermore, our exploration taps into a broader cultural reflection, echoing the whimsical tales of fiction in works such as "Ella Enchanted" and "Matilda," which beckon us into the realm of fantastical nomenclature and its potential connection to humor. The lighthearted lens provided by non-fiction authors like Malcolm Gladwell and Steven Levitt in books such as "The Tipping Point" and "Freakonomics" resonates with our findings, infusing an element of levity into the often rigid realm of statistical analysis. Our endeavors stand as a joyous culmination of these influences, highlighting the interplay between human behavior, nomenclature, and the delightful landscape of pop culture.

As we venture deeper into this realm, we are reminded of the playful wordplay, infectious charm, and comedic timing observed in TV shows such as "The Office," "Parks and Recreation," and "Brooklyn Nine-Nine." These series further validate the impact of humor and playful elements on audience engagement, underscoring the captivating power of nomenclature and entertainment in the digital age. Our findings, in essence, sparkle with a sprinkle of mirth and a dash of statistical absurdity, showcasing the captivating tapestry of interconnectedness that underpins the whimsical realms of human behavior and pop culture.

In the end, our research teeters at the edge of statistical mirth and online entertainment, unraveling the intriguing connection between the name Regina and the enchanting charm of Casually Explained video titles. As we stand in awe of the mirthful union between these variables, we are reminded that behind every correlation lies an element of delightful absurdity waiting to be uncovered, and that statistical analysis can indeed be a whimsical tango of data and humor.


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 Popularity of the first name Regina and How fun Casually Explained YouTube video titles are. 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]]
Regina-phobic Revelations: A Statistical Analysis of the Relationship Between the Popularity of the First Name Regina and the Entertainment Value of Casually Explained YouTube Video Titles

[[ABSTRACT]]
The interconnected worlds of nomenclature and digital content creation have long been a source of speculation and curiosity. In this study, we delve into the enigmatic correlation between the prevalence of the name Regina and the comedic appeal of titles in YouTube videos created by the ever-entertaining Casually Explained. Utilizing data from the US Social Security Administration and employing advanced AI analysis, we calculated a substantial negative correlation coefficient of -0.7241007 (p < 0.05) based on information spanning the years 2015 to 2022. Our findings not only provide empirical evidence of the impact of nomenclature on the entertainment industry, but also offer a lighthearted perspective on the delightful complexities of human behavior and pop culture.

[[INTRDUCTION]]
Ladies and gentlemen, esteemed colleagues, and fellow lovers of statistical mischief, we embark on a journey to unravel the perplexing relationship between the popularity of the first name Regina and the whimsical allure of Casually Explained YouTube video titles. As we peer into the intriguing realm of nomenclature and internet humor, one cannot help but indulge in a hearty chuckle at the charming potential correlations that thrive in the midst of data analytics and online entertainment.
It is no secret that the name Regina exudes an air of regal sophistication, evoking images of majestic thrones and grandiose parades. Conversely, the tongue-in-cheek, nonchalant brilliance of Casually Explained video titles lends itself to an entirely different vibe - one that can only be described as a delightful blend of sarcasm and whimsy.
In the sacred halls of statistical analysis, where p-values reign and uncertainty trembles, we bravely venture forth armed with our trusty algorithms and a generous sprinkle of comedic musings. A keen eye for detail, a taste for the absurd, and a healthy appreciation for the nuances of human behavior fuel our quest to make sense of the seemingly absurd pairing of a name fit for royalty and the playful essence of YouTube clickbait.
As we navigate through the colorful landscape of data exploration, let us not forget that behind every number and variable lies a whimsical anecdote, a surprise waiting to be unraveled, or a pun yearning to be unleashed. With alacrity and a playful demeanor, we set out to illuminate the hidden gems that lay beneath the surface of seemingly unrelated phenomena. So, buckle up, dear readers, and prepare to embark on a statistical romp through the kingdoms of nomenclature and online hilarity.

[[RESULTS]]
In our quest to demystify the inexplicable link between the name Regina and the comical allure of Casually Explained YouTube video titles, we unearthed a statistical revelation of epic proportions. Our analysis revealed a robust negative correlation coefficient of -0.7241007 between the two variables, with an r-squared value of 0.5243218, and a p-value less than 0.05. This significant correlation left us in a state of bemused astonishment, akin to stumbling upon a rare species of statistical unicorn frolicking in the realms of data analysis.
The negative correlation suggests that as the popularity of the name Regina waxes, the whimsical nature of Casually Explained video titles wanes, and vice versa. It's as if the very essence of statistical humor conspired to play a cosmic prank on the unsuspecting populace, leaving us flabbergasted at the sheer quirkiness of our findings.
Our exploration culminates in a vivid depiction of this correlation through Fig. 1, where a scatterplot unfurls before the viewer's eyes like a whimsical tapestry of numbers and delight. The data points dance across the plot, orchestrating a symphony of interconnectedness that resonates with the faint echoes of our infectious mirth.
It is indeed a testament to the marvels of statistical analysis that we can uncover such captivating nuggets of insight while simultaneously marveling at the amusing idiosyncrasies of human behavior. Our findings not only shed light on the peculiar relationship between nomenclature and digital content, but also underscore the enchanting complexities that underpin the delightful landscape of pop culture.
In the end, we stand in awe of the mirthful union between the name Regina and the ebullient charm of Casually Explained video titles, marveling at the wondrously absurd connections that emerge when statistical musings and online entertainment collide in a jocular tango of data and humor.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our whimsical foray into the interplay of nomenclature and digital hilarity has unearthed a treasure trove of statistical tomfoolery. The robust negative correlation coefficient between the regal name Regina and the lighthearted nature of Casually Explained video titles has left us in a state of utter statistical bewilderment. It's as if the very fabric of comedic magnetism has conspired to weave a tapestry of statistical merriment, leaving us chuckling at the sheer absurdity of our findings.

Our scatterplot, akin to a delightful circus act, showcases the playful dance of data points, where the regal and the whimsical engage in a spirited banter of statistical significance. It's almost as if the name Regina and the comedic charm of video titles engage in a whimsical game of statistical hide-and-seek, showcasing the delightful complexities of human behavior with an unexpected twist of statistical high jinks.

As we bid adieu to this wondrous journey through the kingdoms of nomenclature and online frivolity, we humbly submit that no further research is needed in this area. For we have unraveled the enigmatic dance between the regal name Regina and the playful allure of Casually Explained video titles, leaving us in a state of statistical merriment and awe at the peculiar connections that emerge when statistical musings and online hilarity engage in a merry tango of data and humor.


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 Regina-phobic Revelations: A Statistical Analysis of the Relationship Between the Popularity of the First Name Regina and the Entertainment Value of Casually Explained YouTube Video Titles. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Lighthearted Linguistics


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 Regina-phobic Revelations: A Statistical Analysis of the Relationship Between the Popularity of the First Name Regina and the Entertainment Value of Casually Explained YouTube Video Titles. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Quirky Research Endeavors


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 Regina-phobic Revelations: A Statistical Analysis of the Relationship Between the Popularity of the First Name Regina and the Entertainment Value of Casually Explained YouTube Video Titles with an abstract of The interconnected worlds of nomenclature and digital content creation have long been a source of speculation and curiosity. In this study, we delve into the enigmatic correlation between the prevalence of the name Regina and the comedic appeal of titles in YouTube videos created by the ever-entertaining Casually Explained. Utilizing data from the US Social Security Administration and employing advanced AI analysis, we calculated a substantial negative correlation coefficient of -0.7241007 (p < 0.05) based on information spanning the years 2015 to 2022. Our findings not only provide empirical evidence of the impact of nomenclature on the entertainment industry, but also offer a lighthearted perspective on the delightful complexities of human behavior and pop culture.

ChatGPT:

Regina name popularity, Regina first name correlation, entertainment value of YouTube video titles, Casually Explained YouTube videos, YouTube video title humor, nomenclature impact on entertainment, US Social Security Administration data, AI analysis, correlation between name and entertainment, human behavior and pop culture intersection

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

How fun Casually Explained YouTube video titles are
Detailed data title: How fun Casually Explained YouTube video titles are, as rated by an AI.
Source: AI analysis of YouTube video titles
Additional Info: I asked a large language model, 'On a scale of 1-10, how _______ do you think this YouTube video title is?' for every video.

See what else correlates with How fun Casually Explained YouTube video titles are

Correlation r = -0.7241007 (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 = 0.5243218 (Coefficient of determination)
This means 52.4% of the change in the one variable (i.e., How fun Casually Explained YouTube video titles are) is predictable based on the change in the other (i.e., Popularity of the first name Regina) over the 8 years from 2015 through 2022.

p < 0.05, which statistically significant(Null hypothesis significance test)
The p-value is 0.042. 0.0422390776105765750000000000
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 -0.72 in 4.2% of random cases. Said differently, if you correlated 24 random variables Which I absolutely did.
with the same 7 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 7 because we have two variables measured over a period of 8 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.

[ -0.95, -0.04 ] 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.
20152016201720182019202020212022
Popularity of the first name Regina (Babies born)607735765760751707738909
How fun Casually Explained YouTube video titles are (Fun score (out of 10))77.77787.85717.84627.83337.6257.750




Why this works

  1. Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
  2. Lack of causal connection: There is probably Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
    no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
  3. Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
    p-value calculation does not take this into account, so mathematically it appears less probable than it really is.
  4. Very low n: There are not many data points included in this analysis. Even if the p-value is high, we should be suspicious of using so few datapoints in a correlation.
  5. 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.
  6. Inverted Y-axis: I inverted the Y-axis on the chart above so that the lines would move together. This is visually pleasing, but not at all intuitive. Below is a line graph that does not invert the Y-axis.




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([607,735,765,760,751,707,738,909,])
array_2 = np.array([7,7.7778,7.8571,7.8462,7.8333,7.625,7.75,0,])
array_1_name = "Popularity of the first name Regina"
array_2_name = "How fun Casually Explained YouTube video titles are"

# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)

# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)



Reuseable content

You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.

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

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

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

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Correlation ID: 4333 · Black Variable ID: 2753 · Red Variable ID: 25878
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