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Spurious correlation #5,538 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Associates degrees awarded in gender studies and the second variable is The average number of likes on OverSimplified YouTube videos.  The chart goes from 2016 to 2021, and the two variables track closely in value over that time. Small Image
Download png
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AI explanation

The deeper understanding of societal norms and historical perspectives led to a rise in appreciation for the simplified yet informative content. It's like the more you know about gender studies, the more you like OverSimplified! Or maybe it's because they've finally cracked the enigma of getting the most 'likes' out of history.

Model: dalle-3
Prompt: [ A meme ] Prompt: Create an image of a young woman sitting in a cozy study room. She proudly displays her Associate's degree in gender studies on the wall. The room is adorned with posters of influential historical figures. The woman smiles as she watches an OverSimplified video on her laptop, with the like button already pressed. The video's views paint a historical timeline on the screen, and it's evident that the video has garnered countless likes, reflecting the widespread appreciation for its simplified yet informative content. The scene reflects how a deeper understanding of societal norms and historical perspectives has led to a rise in appreciation for the educational and entertaining content. This prompt aims to generate an image that humorously captures the intersection of historical interest, modern education, and internet culture in an engaging visual form. 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: Associates degrees awarded in gender studies and The average number of likes on OverSimplified YouTube videos. 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: Cute cartoon Realistic Cybernetic art a meme A comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s
ChatGPT: A meme

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 Associates degrees awarded in gender studies and The average number of likes on OverSimplified YouTube videos, in the following situation: The deeper understanding of societal norms and historical perspectives led to a rise in appreciation for the simplified yet informative content. It's like the more you know about gender studies, the more you like OverSimplified! Or maybe it's because they've finally cracked the enigma of getting the most 'likes' out of history.. Keep the description simple.
ChatGPT: In a cozy study room adorned with posters of influential historical figures, a young woman proudly displays her Associate's degree in gender studies on the wall. She smiles as she watches an OverSimplified video on her laptop, with the like button already pressed. The video's views paint a historical timeline on the screen, and it's evident that the video has garnered countless likes, reflecting the widespread appreciation for its simplified yet informative content. The scene reflects how a deeper understanding of societal norms and historical perspectives has led to a rise in appreciation for the educational and entertaining content.

Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ A meme ] and depicting this scene: In a cozy study room adorned with posters of influential historical figures, a young woman proudly displays her Associate's degree in gender studies on the wall. She smiles as she watches an OverSimplified video on her laptop, with the like button already pressed. The video's views paint a historical timeline on the screen, and it's evident that the video has garnered countless likes, reflecting the widespread appreciation for its simplified yet informative content. The scene reflects how a deeper understanding of societal norms and historical perspectives has led to a rise in appreciation for the educational and entertaining content. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: [ A meme ] Prompt: Create an image of a young woman sitting in a cozy study room. She proudly displays her Associate's degree in gender studies on the wall. The room is adorned with posters of influential historical figures. The woman smiles as she watches an OverSimplified video on her laptop, with the like button already pressed. The video's views paint a historical timeline on the screen, and it's evident that the video has garnered countless likes, reflecting the widespread appreciation for its simplified yet informative content. The scene reflects how a deeper understanding of societal norms and historical perspectives has led to a rise in appreciation for the educational and entertaining content. This prompt aims to generate an image that humorously captures the intersection of historical interest, modern education, and internet culture in an engaging visual form.

*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 Associates degrees awarded in gender studies caused The average number of likes on OverSimplified YouTube videos to increase. Include one good pun.

AI academic paper

(Because p < 0.05)
Gender Studies Graduates and the Gargantuan Growth of YouTube Likes: An Alliterative Analysis

The Journal of Comical Cultural Critique

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 Associates degrees awarded in gender studies and The average number of likes on OverSimplified YouTube videos. Make lots of jokes, goofy observations, and puns.

Make the title an alliteration.

Your research team used data from National Center for Education Statistics and YouTube to assess this nagging question. You found a correlation coefficient of 0.8626614 and p < 0.05 for 2016 to 2021.

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]]
Gender Studies Graduates and the Gargantuan Growth of YouTube Likes: An Alliterative Analysis

[[ABSTRACT]]
In this research paper, we delve into an unexpected connection between the number of associate degrees awarded in gender studies and the average number of likes on OverSimplified YouTube videos. While one may initially think that these two seemingly unrelated subjects have no correlation, our findings reveal an intriguing relationship that has left us pondering whether statistical anomalies or peculiar internet phenomena are at play. Utilizing data from the National Center for Education Statistics and YouTube, our research team conducted a comprehensive analysis from 2016 to 2021. Surprisingly, we uncovered a robust correlation coefficient of 0.8626614 and a statistically significant p-value of less than 0.05, unveiling a tantalizing correlation between these two variables. This correlation invites further examination and sparks questions about the cultural influences on online engagement and the intersections of academia and internet entertainment. Our findings not only raise eyebrows but also inspire a renewed appreciation for the unpredictability of statistical analysis.


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 Associates degrees awarded in gender studies and The average number of likes on OverSimplified YouTube videos. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Here is the title and abstract of the paper:
[[TITLE]]
Gender Studies Graduates and the Gargantuan Growth of YouTube Likes: An Alliterative Analysis

[[ABSTRACT]]
In this research paper, we delve into an unexpected connection between the number of associate degrees awarded in gender studies and the average number of likes on OverSimplified YouTube videos. While one may initially think that these two seemingly unrelated subjects have no correlation, our findings reveal an intriguing relationship that has left us pondering whether statistical anomalies or peculiar internet phenomena are at play. Utilizing data from the National Center for Education Statistics and YouTube, our research team conducted a comprehensive analysis from 2016 to 2021. Surprisingly, we uncovered a robust correlation coefficient of 0.8626614 and a statistically significant p-value of less than 0.05, unveiling a tantalizing correlation between these two variables. This correlation invites further examination and sparks questions about the cultural influences on online engagement and the intersections of academia and internet entertainment. Our findings not only raise eyebrows but also inspire a renewed appreciation for the unpredictability of statistical analysis.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

As the age-old saying goes, "correlation does not equal causation." But what if, just for a moment, we entertain the idea that perhaps, correlation equals confusion, or correlation equals comedy? In the world of academia, unexpected relationships between variables can often lead to raised eyebrows, incredulous stares, and the occasional stifled chuckle. Our research aimed to uncover such an enigmatic liaison – the connection between the number of associate degrees awarded in gender studies and the average number of likes on OverSimplified YouTube videos.

Now, before you start furrowing your brows and wondering if we've been sampling the local comedy club rather than the research lab, let us assure you that our inquiry was prompted by genuine curiosity and a deep-seated love for statistical quirks. We are well aware that gender studies and YouTube likes may seem as unrelated as a fish on a bicycle, but the sometimes whimsical nature of research led us down this peculiar yet captivating path.

For those uninitiated into the world of YouTube, OverSimplified is a channel known for its animated, witty, and, well, oversimplified retellings of historical events. From World War II to the Cold War, this channel has amassed a legion of devoted viewers who eagerly hit the thumbs-up button to show their appreciation. And speaking of thumbs-up, who would have thought that the number of associate degrees awarded in gender studies might have a hand in influencing those very likes? It's this kind of unexpected twist that makes the world of academia undeniably entertaining, and it's precisely what we aim to unravel in this paper.

So, let's grab a cup of statistical coffee, sprinkle in some academic curiosity, and embark on a journey to unravel the peculiar relationship between these two seemingly disparate domains. Welcome to the world of gender studies, YouTube likes, and the enigma that is statistical analysis – where correlation may just lead to a merry dance of confusion and chuckles.


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 Associates degrees awarded in gender studies and The average number of likes on OverSimplified YouTube videos. 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 CVS receipts.

Here is the title and abstract of the paper:
[[TITLE]]
Gender Studies Graduates and the Gargantuan Growth of YouTube Likes: An Alliterative Analysis

[[ABSTRACT]]
In this research paper, we delve into an unexpected connection between the number of associate degrees awarded in gender studies and the average number of likes on OverSimplified YouTube videos. While one may initially think that these two seemingly unrelated subjects have no correlation, our findings reveal an intriguing relationship that has left us pondering whether statistical anomalies or peculiar internet phenomena are at play. Utilizing data from the National Center for Education Statistics and YouTube, our research team conducted a comprehensive analysis from 2016 to 2021. Surprisingly, we uncovered a robust correlation coefficient of 0.8626614 and a statistically significant p-value of less than 0.05, unveiling a tantalizing correlation between these two variables. This correlation invites further examination and sparks questions about the cultural influences on online engagement and the intersections of academia and internet entertainment. Our findings not only raise eyebrows but also inspire a renewed appreciation for the unpredictability of statistical analysis.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
As the age-old saying goes, "correlation does not equal causation." But what if, just for a moment, we entertain the idea that perhaps, correlation equals confusion, or correlation equals comedy? In the world of academia, unexpected relationships between variables can often lead to raised eyebrows, incredulous stares, and the occasional stifled chuckle. Our research aimed to uncover such an enigmatic liaison – the connection between the number of associate degrees awarded in gender studies and the average number of likes on OverSimplified YouTube videos.
Now, before you start furrowing your brows and wondering if we've been sampling the local comedy club rather than the research lab, let us assure you that our inquiry was prompted by genuine curiosity and a deep-seated love for statistical quirks. We are well aware that gender studies and YouTube likes may seem as unrelated as a fish on a bicycle, but the sometimes whimsical nature of research led us down this peculiar yet captivating path.
For those uninitiated into the world of YouTube, OverSimplified is a channel known for its animated, witty, and, well, oversimplified retellings of historical events. From World War II to the Cold War, this channel has amassed a legion of devoted viewers who eagerly hit the thumbs-up button to show their appreciation. And speaking of thumbs-up, who would have thought that the number of associate degrees awarded in gender studies might have a hand in influencing those very likes? It's this kind of unexpected twist that makes the world of academia undeniably entertaining, and it's precisely what we aim to unravel in this paper.
So, let's grab a cup of statistical coffee, sprinkle in some academic curiosity, and embark on a journey to unravel the peculiar relationship between these two seemingly disparate domains. Welcome to the world of gender studies, YouTube likes, and the enigma that is statistical analysis – where correlation may just lead to a merry dance of confusion and chuckles.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

Upon delving into the scholarly landscape, the authors find that the intersection of gender studies and online engagement has been a subject of burgeoning interest, akin to a plant reaching for the sun, or a cat reaching for a tempting ball of yarn. In "Gender and Society," Smith et al. posit the complex dynamics of gender representation in digital spaces, shedding light on the ways in which social issues intersect with internet culture. Their work adds a serious note to our whimsical inquiry, but fear not, dear reader - we haven't lost our sense of humor just yet!

Turning the pages of “Feminism and Pop Culture” by Andi Zeisler, we encounter a treasure trove of insights into the fusion of feminism and popular media. Zeisler deftly navigates the landscape of gender, internet memes, and the threads that tie them together, reminiscent of a cat's cradle of interconnected ideas. As we immerse ourselves in her work, the mundanity of our research topic begins to transform into the stuff of academic comedy.

In the realm of fiction, we encounter works that, while not directly related to our research, offer a tantalizing parallel universe of amusing correlations. Consider "The Gender Game" by Bella Forrest – a futuristic tale where gender determines one's fate. In this world, the ebb and flow of gender dynamics might very well influence the virtual likes and dislikes of an alternate YouTube, or so we jest.

In a rather unconventional twist, our literature review also draws inspiration from sources that veer off the beaten path, like the multitudinous CVS receipts that seem to contain entire novels within their labyrinthine folds. Who's to say that amidst the details of discounts and coupons, we couldn't find a hidden gem of information related to our improbable research query?

In summary, our foray into the literature has not only illuminated the serious undertones of gender studies and online engagement but has also ignited a comedic spark that we will carry with us as we unravel the peculiar correlation between associates degrees in gender studies and the enigmatic realm of YouTube likes. Just as the unexpected blend of peanut butter and pickles can surprisingly tantalize the taste buds, so too will our exploration of this unforeseen relationship expand the horizons of statistical analysis and academic merriment.


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 Associates degrees awarded in gender studies and The average number of likes on OverSimplified YouTube videos. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from National Center for Education Statistics and YouTube . You used data from 2016 to 2021

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]]
Gender Studies Graduates and the Gargantuan Growth of YouTube Likes: An Alliterative Analysis

[[ABSTRACT]]
In this research paper, we delve into an unexpected connection between the number of associate degrees awarded in gender studies and the average number of likes on OverSimplified YouTube videos. While one may initially think that these two seemingly unrelated subjects have no correlation, our findings reveal an intriguing relationship that has left us pondering whether statistical anomalies or peculiar internet phenomena are at play. Utilizing data from the National Center for Education Statistics and YouTube, our research team conducted a comprehensive analysis from 2016 to 2021. Surprisingly, we uncovered a robust correlation coefficient of 0.8626614 and a statistically significant p-value of less than 0.05, unveiling a tantalizing correlation between these two variables. This correlation invites further examination and sparks questions about the cultural influences on online engagement and the intersections of academia and internet entertainment. Our findings not only raise eyebrows but also inspire a renewed appreciation for the unpredictability of statistical analysis.

[[INTRODUCTION]]
As the age-old saying goes, "correlation does not equal causation." But what if, just for a moment, we entertain the idea that perhaps, correlation equals confusion, or correlation equals comedy? In the world of academia, unexpected relationships between variables can often lead to raised eyebrows, incredulous stares, and the occasional stifled chuckle. Our research aimed to uncover such an enigmatic liaison – the connection between the number of associate degrees awarded in gender studies and the average number of likes on OverSimplified YouTube videos.
Now, before you start furrowing your brows and wondering if we've been sampling the local comedy club rather than the research lab, let us assure you that our inquiry was prompted by genuine curiosity and a deep-seated love for statistical quirks. We are well aware that gender studies and YouTube likes may seem as unrelated as a fish on a bicycle, but the sometimes whimsical nature of research led us down this peculiar yet captivating path.
For those uninitiated into the world of YouTube, OverSimplified is a channel known for its animated, witty, and, well, oversimplified retellings of historical events. From World War II to the Cold War, this channel has amassed a legion of devoted viewers who eagerly hit the thumbs-up button to show their appreciation. And speaking of thumbs-up, who would have thought that the number of associate degrees awarded in gender studies might have a hand in influencing those very likes? It's this kind of unexpected twist that makes the world of academia undeniably entertaining, and it's precisely what we aim to unravel in this paper.
So, let's grab a cup of statistical coffee, sprinkle in some academic curiosity, and embark on a journey to unravel the peculiar relationship between these two seemingly disparate domains. Welcome to the world of gender studies, YouTube likes, and the enigma that is statistical analysis – where correlation may just lead to a merry dance of confusion and chuckles.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To get to the bottom of this whimsical and unusual connection between gender studies graduates and the burgeoning cascade of YouTube likes, our research team embarked on a journey worthy of a classic mystery novel. We gathered data from 2016 to 2021 from the hallowed halls of the National Center for Education Statistics and delved into the captivating realm of YouTube to scrutinize the ubiquitous likes on OverSimplified's historical animations.

The first step in our convoluted quest involved poring over the data on associate degrees awarded in gender studies, employing the rigorous art of digital sleuthing through the National Center for Education Statistics database. We meticulously accumulated annual figures, akin to a treasure hunt, with each degree a clue leading us closer to unraveling the enigma. Once we had compiled this wealth of data, we ventured into the labyrinthine world of YouTube to gather the average number of likes per video on the OverSimplified channel, navigating the digital catacombs known to many as the YouTube Analytics dashboard.

In our statistical sherlocking, we employed the formidable tools of correlation analysis to scrutinize the potential relationship between these seemingly incongruous variables. This entailed wielding the trusty spear of Pearson's correlation coefficient as we probed for any hint of a connection between the number of gender studies degrees and the effervescent sea of likes on OverSimplified videos.

To further fortify our investigation, we cast a wide net to ensnare the lurking p-value, ensuring that any observed correlation was not purely a figment of statistical happenstance. Through the cunning use of hypothesis testing, we prodded and poked at the digits and decimals until a p-value less than 0.05 emerged from the statistical ether, affirming the presence of a bona fide relationship.

In a bid to unveil the true nature of this unexpected correlation, we subjected our data to the scrutinizing gaze of regression analysis. Through this methodological marvel, we sought to discern whether the number of gender studies degrees could predict the captivating quantity of likes they may bestow upon historical YouTube content.

With our statistical Magnifying Glass in hand, we then conducted a multivariate analysis to uncover any potential confounding variables that might lead this peculiar correlation astray. Like detectives in a densely plotted mystery, we tirelessly combed through the data, dissecting and discerning to ensure that our findings held steady under the relentless glare of academic inquiry.

Having navigated this labyrinth of data and analysis, we finally arrived at our resplendent findings, poised to astound and delight the discerning minds of academia with the allure of this truly unexpected connection.


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 Associates degrees awarded in gender studies and The average number of likes on OverSimplified YouTube videos. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from National Center for Education Statistics and YouTube .

For the time period 2016 to 2021, you found a correlation 0.8626614, r-squared of 0.7441848, 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]]
Gender Studies Graduates and the Gargantuan Growth of YouTube Likes: An Alliterative Analysis

[[ABSTRACT]]
In this research paper, we delve into an unexpected connection between the number of associate degrees awarded in gender studies and the average number of likes on OverSimplified YouTube videos. While one may initially think that these two seemingly unrelated subjects have no correlation, our findings reveal an intriguing relationship that has left us pondering whether statistical anomalies or peculiar internet phenomena are at play. Utilizing data from the National Center for Education Statistics and YouTube, our research team conducted a comprehensive analysis from 2016 to 2021. Surprisingly, we uncovered a robust correlation coefficient of 0.8626614 and a statistically significant p-value of less than 0.05, unveiling a tantalizing correlation between these two variables. This correlation invites further examination and sparks questions about the cultural influences on online engagement and the intersections of academia and internet entertainment. Our findings not only raise eyebrows but also inspire a renewed appreciation for the unpredictability of statistical analysis.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
As the age-old saying goes, "correlation does not equal causation." But what if, just for a moment, we entertain the idea that perhaps, correlation equals confusion, or correlation equals comedy? In the world of academia, unexpected relationships between variables can often lead to raised eyebrows, incredulous stares, and the occasional stifled chuckle. Our research aimed to uncover such an enigmatic liaison – the connection between the number of associate degrees awarded in gender studies and the average number of likes on OverSimplified YouTube videos.
Now, before you start furrowing your brows and wondering if we've been sampling the local comedy club rather than the research lab, let us assure you that our inquiry was prompted by genuine curiosity and a deep-seated love for statistical quirks. We are well aware that gender studies and YouTube likes may seem as unrelated as a fish on a bicycle, but the sometimes whimsical nature of research led us down this peculiar yet captivating path.
For those uninitiated into the world of YouTube, OverSimplified is a channel known for its animated, witty, and, well, oversimplified retellings of historical events. From World War II to the Cold War, this channel has amassed a legion of devoted viewers who eagerly hit the thumbs-up button to show their appreciation. And speaking of thumbs-up, who would have thought that the number of associate degrees awarded in gender studies might have a hand in influencing those very likes? It's this kind of unexpected twist that makes the world of academia undeniably entertaining, and it's precisely what we aim to unravel in this paper.
So, let's grab a cup of statistical coffee, sprinkle in some academic curiosity, and embark on a journey to unravel the peculiar relationship between these two seemingly disparate domains. Welcome to the world of gender studies, YouTube likes, and the enigma that is statistical analysis – where correlation may just lead to a merry dance of confusion and chuckles.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

Our statistical analysis revealed a surprising correlation between the number of associate degrees awarded in gender studies and the average number of likes on OverSimplified YouTube videos. From 2016 to 2021, the correlation coefficient of 0.8626614 and an r-squared value of 0.7441848 left us as bewildered as a cat seeing a cucumber for the first time – that is to say, thoroughly perplexed.

Fig. 1 illustrates this unexpected relationship, depicting a scatterplot that could make even the most stoic statistician raise an eyebrow. The data points coalesce into a clear upward trend, suggesting that as the number of associate degrees in gender studies increases, so does the average number of likes on OverSimplified YouTube videos. It's almost as if every diploma conferred in gender studies sends a ripple of appreciation through the digital corridors of historical reenactments and animated explanations.

With a p-value of less than 0.05, our findings indicate that this correlation is not a mere statistical fluke but a genuinely significant connection. This revelation has us scratching our heads more vigorously than a cat wearing a particularly perplexing cone of shame. The implications of this unexpected correlation prompt us to consider whether academic pursuits in gender studies are influencing the digital appreciation of historical content, or whether YouTube likes are simply flourishing in the wake of gender studies fervor.

In conclusion, our study has uncovered a correlation that is as surprising as finding a pineapple pizza in a sea of pepperoni and cheese – unexpected, but undeniably intriguing. This remarkable discovery not only demonstrates the propensity for unpredictable connections in the vast realm of statistical analysis, but also invites further exploration into the unexpected interplay between academic pursuits and online engagement. The correlation between gender studies graduates and YouTube likes gives us reason to pause, ponder, and perhaps even indulge in a statistical chuckle at the whimsy of academic inquiry.


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 Associates degrees awarded in gender studies and The average number of likes on OverSimplified YouTube videos. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

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]]
Gender Studies Graduates and the Gargantuan Growth of YouTube Likes: An Alliterative Analysis

[[ABSTRACT]]
In this research paper, we delve into an unexpected connection between the number of associate degrees awarded in gender studies and the average number of likes on OverSimplified YouTube videos. While one may initially think that these two seemingly unrelated subjects have no correlation, our findings reveal an intriguing relationship that has left us pondering whether statistical anomalies or peculiar internet phenomena are at play. Utilizing data from the National Center for Education Statistics and YouTube, our research team conducted a comprehensive analysis from 2016 to 2021. Surprisingly, we uncovered a robust correlation coefficient of 0.8626614 and a statistically significant p-value of less than 0.05, unveiling a tantalizing correlation between these two variables. This correlation invites further examination and sparks questions about the cultural influences on online engagement and the intersections of academia and internet entertainment. Our findings not only raise eyebrows but also inspire a renewed appreciation for the unpredictability of statistical analysis.

[[LITERATURE REVIEW]]
Upon delving into the scholarly landscape, the authors find that the intersection of gender studies and online engagement has been a subject of burgeoning interest, akin to a plant reaching for the sun, or a cat reaching for a tempting ball of yarn. In "Gender and Society," Smith et al. posit the complex dynamics of gender representation in digital spaces, shedding light on the ways in which social issues intersect with internet culture. Their work adds a serious note to our whimsical inquiry, but fear not, dear reader - we haven't lost our sense of humor just yet!
Turning the pages of “Feminism and Pop Culture” by Andi Zeisler, we encounter a treasure trove of insights into the fusion of feminism and popular media. Zeisler deftly navigates the landscape of gender, internet memes, and the threads that tie them together, reminiscent of a cat's cradle of interconnected ideas. As we immerse ourselves in her work, the mundanity of our research topic begins to transform into the stuff of academic comedy.
In the realm of fiction, we encounter works that, while not directly related to our research, offer a tantalizing parallel universe of amusing correlations. Consider "The Gender Game" by Bella Forrest – a futuristic tale where gender determines one's fate. In this world, the ebb and flow of gender dynamics might very well influence the virtual likes and dislikes of an alternate YouTube, or so we jest.
In a rather unconventional twist, our literature review also draws inspiration from sources that veer off the beaten path, like the multitudinous CVS receipts that seem to contain entire novels within their labyrinthine folds. Who's to say that amidst the details of discounts and coupons, we couldn't find a hidden gem of information related to our improbable research query?
In summary, our foray into the literature has not only illuminated the serious undertones of gender studies and online engagement but has also ignited a comedic spark that we will carry with us as we unravel the peculiar correlation between associates degrees in gender studies and the enigmatic realm of YouTube likes. Just as the unexpected blend of peanut butter and pickles can surprisingly tantalize the taste buds, so too will our exploration of this unforeseen relationship expand the horizons of statistical analysis and academic merriment.

[[RESULTS]]
Our statistical analysis revealed a surprising correlation between the number of associate degrees awarded in gender studies and the average number of likes on OverSimplified YouTube videos. From 2016 to 2021, the correlation coefficient of 0.8626614 and an r-squared value of 0.7441848 left us as bewildered as a cat seeing a cucumber for the first time – that is to say, thoroughly perplexed.
Fig. 1 illustrates this unexpected relationship, depicting a scatterplot that could make even the most stoic statistician raise an eyebrow. The data points coalesce into a clear upward trend, suggesting that as the number of associate degrees in gender studies increases, so does the average number of likes on OverSimplified YouTube videos. It's almost as if every diploma conferred in gender studies sends a ripple of appreciation through the digital corridors of historical reenactments and animated explanations.
With a p-value of less than 0.05, our findings indicate that this correlation is not a mere statistical fluke but a genuinely significant connection. This revelation has us scratching our heads more vigorously than a cat wearing a particularly perplexing cone of shame. The implications of this unexpected correlation prompt us to consider whether academic pursuits in gender studies are influencing the digital appreciation of historical content, or whether YouTube likes are simply flourishing in the wake of gender studies fervor.
In conclusion, our study has uncovered a correlation that is as surprising as finding a pineapple pizza in a sea of pepperoni and cheese – unexpected, but undeniably intriguing. This remarkable discovery not only demonstrates the propensity for unpredictable connections in the vast realm of statistical analysis, but also invites further exploration into the unexpected interplay between academic pursuits and online engagement. The correlation between gender studies graduates and YouTube likes gives us reason to pause, ponder, and perhaps even indulge in a statistical chuckle at the whimsy of academic inquiry.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

Our findings not only raise eyebrows but also raise the question – could there be more to this correlation than meets the eye? As we reflect on the unexpected relationship between the number of associate degrees awarded in gender studies and the average number of likes on OverSimplified YouTube videos, one might initially assume this to be as unlikely a pair as peanut butter and sardines. However, our statistical analysis has unearthed a connection as intriguing as a cat discovering a brand-new cardboard box.

As we so humorously highlighted in our literature review, the scholarly landscape provided us with fertile ground for our own unexpected exploration. The complex dynamics of gender representation in digital spaces, as posited by Smith et al., seem to intersect with the realm of internet culture in a manner as unexpected as a ninja's appearance in a library. Likewise, Andi Zeisler's insights into feminism and popular media offer a humorous parallel to our research, akin to finding a clown's nose in a stack of serious academic papers. Our statistical findings have indeed provided support for these prior works, as we delight in the unsuspected merging of the amusing and the scholarly.

Revisiting some whimsical observations from our literature review, we are tempted to jest that the ripple effect of every conferred diploma in gender studies has sent a wave of likes through the corridors of historical reenactments and animated explanations on YouTube. While we certainly do not wish to trivialize the serious undertones of our subject matter, we cannot deny the comedic twist that seems to permeate this unexpected correlation.

Our statistical slapstick aside, the implications of this connection extend beyond mere statistical merriment. The implications of this unforeseen relationship prompt us to ponder whether academic pursuits in gender studies are indeed influencing the digital appreciation of historical content, providing a captivating blend of scholarly influence and internet engagement. Our statistically significant findings, with a p-value of less than 0.05, invite us to consider not only the unpredictability of statistical analysis but also the potential for genuine connections in the most unexpected of places.

As we stand on the precipice of this newfound revelation, we are reminded that the world of statistical analysis is as enigmatic as a magician's hat, capable of producing the most astonishing of connections. Our discovery not only encourages further exploration into the interplay between academic pursuits and online engagement, but also sparks a lighthearted appreciation for the unpredictability of statistical analysis and the delightful twists it can bestow upon the scholarly pursuit.


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 Associates degrees awarded in gender studies and The average number of likes on OverSimplified YouTube videos. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

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]]
Gender Studies Graduates and the Gargantuan Growth of YouTube Likes: An Alliterative Analysis

[[ABSTRACT]]
In this research paper, we delve into an unexpected connection between the number of associate degrees awarded in gender studies and the average number of likes on OverSimplified YouTube videos. While one may initially think that these two seemingly unrelated subjects have no correlation, our findings reveal an intriguing relationship that has left us pondering whether statistical anomalies or peculiar internet phenomena are at play. Utilizing data from the National Center for Education Statistics and YouTube, our research team conducted a comprehensive analysis from 2016 to 2021. Surprisingly, we uncovered a robust correlation coefficient of 0.8626614 and a statistically significant p-value of less than 0.05, unveiling a tantalizing correlation between these two variables. This correlation invites further examination and sparks questions about the cultural influences on online engagement and the intersections of academia and internet entertainment. Our findings not only raise eyebrows but also inspire a renewed appreciation for the unpredictability of statistical analysis.

[[INTRDUCTION]]
As the age-old saying goes, "correlation does not equal causation." But what if, just for a moment, we entertain the idea that perhaps, correlation equals confusion, or correlation equals comedy? In the world of academia, unexpected relationships between variables can often lead to raised eyebrows, incredulous stares, and the occasional stifled chuckle. Our research aimed to uncover such an enigmatic liaison – the connection between the number of associate degrees awarded in gender studies and the average number of likes on OverSimplified YouTube videos.
Now, before you start furrowing your brows and wondering if we've been sampling the local comedy club rather than the research lab, let us assure you that our inquiry was prompted by genuine curiosity and a deep-seated love for statistical quirks. We are well aware that gender studies and YouTube likes may seem as unrelated as a fish on a bicycle, but the sometimes whimsical nature of research led us down this peculiar yet captivating path.
For those uninitiated into the world of YouTube, OverSimplified is a channel known for its animated, witty, and, well, oversimplified retellings of historical events. From World War II to the Cold War, this channel has amassed a legion of devoted viewers who eagerly hit the thumbs-up button to show their appreciation. And speaking of thumbs-up, who would have thought that the number of associate degrees awarded in gender studies might have a hand in influencing those very likes? It's this kind of unexpected twist that makes the world of academia undeniably entertaining, and it's precisely what we aim to unravel in this paper.
So, let's grab a cup of statistical coffee, sprinkle in some academic curiosity, and embark on a journey to unravel the peculiar relationship between these two seemingly disparate domains. Welcome to the world of gender studies, YouTube likes, and the enigma that is statistical analysis – where correlation may just lead to a merry dance of confusion and chuckles.

[[RESULTS]]
Our statistical analysis revealed a surprising correlation between the number of associate degrees awarded in gender studies and the average number of likes on OverSimplified YouTube videos. From 2016 to 2021, the correlation coefficient of 0.8626614 and an r-squared value of 0.7441848 left us as bewildered as a cat seeing a cucumber for the first time – that is to say, thoroughly perplexed.
Fig. 1 illustrates this unexpected relationship, depicting a scatterplot that could make even the most stoic statistician raise an eyebrow. The data points coalesce into a clear upward trend, suggesting that as the number of associate degrees in gender studies increases, so does the average number of likes on OverSimplified YouTube videos. It's almost as if every diploma conferred in gender studies sends a ripple of appreciation through the digital corridors of historical reenactments and animated explanations.
With a p-value of less than 0.05, our findings indicate that this correlation is not a mere statistical fluke but a genuinely significant connection. This revelation has us scratching our heads more vigorously than a cat wearing a particularly perplexing cone of shame. The implications of this unexpected correlation prompt us to consider whether academic pursuits in gender studies are influencing the digital appreciation of historical content, or whether YouTube likes are simply flourishing in the wake of gender studies fervor.
In conclusion, our study has uncovered a correlation that is as surprising as finding a pineapple pizza in a sea of pepperoni and cheese – unexpected, but undeniably intriguing. This remarkable discovery not only demonstrates the propensity for unpredictable connections in the vast realm of statistical analysis, but also invites further exploration into the unexpected interplay between academic pursuits and online engagement. The correlation between gender studies graduates and YouTube likes gives us reason to pause, ponder, and perhaps even indulge in a statistical chuckle at the whimsy of academic inquiry.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In the ever-unfolding tapestry of academia, our research has unveiled a correlation that's as surprising as discovering a unicorn in a field of statistical sheep. The tantalizing tango between the number of associate degrees awarded in gender studies and the average number of likes on OverSimplified YouTube videos has left us not just scratching our heads but also tapping our chins in contemplation of this unlikely liaison.

As we wrap up this peculiar, yet eye-opening journey, we can't help but feel a sense of both amusement and wonder at the quirkiness of statistical analysis. Who would have thought that the pursuit of knowledge in gender studies could have a hand (or perhaps a cursor click) in the digital appreciation of historical reenactments? It's a head-scratcher worthy of the most enigmatic riddle, and one that entices us to gaze into the abyss of correlations with a mix of trepidation and excitement.

While our findings may elicit a wry smile from even the most stoic of researchers, they also beckon us to consider the subtle influences and unexpected intersections that underpin the digital landscape and academic pursuits. After all, who knows what other seemingly unrelated variables may be secretly engaged in a statistical waltz, just waiting for curious minds to unravel their dance. But for now, we assert, with all gravitas and a hint of whimsy, that no more research is needed in this area.

It's been a statistical rollercoaster filled with surprises and unexpected connections, and we hope our findings have sparked a touch of amusement and a hearty appreciation for the unpredictability of academic exploration. As we bid adieu to this peculiar correlation, we do so with a sense of wonderment and a statistical tip of the hat to the whimsy of research.

No more research is needed in this area.


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 Gender Studies Graduates and the Gargantuan Growth of YouTube Likes: An Alliterative Analysis. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Comical Cultural Critique


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 Gender Studies Graduates and the Gargantuan Growth of YouTube Likes: An Alliterative Analysis. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Silly Scholarship


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 Gender Studies Graduates and the Gargantuan Growth of YouTube Likes: An Alliterative Analysis with an abstract of In this research paper, we delve into an unexpected connection between the number of associate degrees awarded in gender studies and the average number of likes on OverSimplified YouTube videos. While one may initially think that these two seemingly unrelated subjects have no correlation, our findings reveal an intriguing relationship that has left us pondering whether statistical anomalies or peculiar internet phenomena are at play. Utilizing data from the National Center for Education Statistics and YouTube, our research team conducted a comprehensive analysis from 2016 to 2021. Surprisingly, we uncovered a robust correlation coefficient of 0.8626614 and a statistically significant p-value of less than 0.05, unveiling a tantalizing correlation between these two variables. This correlation invites further examination and sparks questions about the cultural influences on online engagement and the intersections of academia and internet entertainment. Our findings not only raise eyebrows but also inspire a renewed appreciation for the unpredictability of statistical analysis.

ChatGPT:

gender studies graduates, YouTube likes, associate degrees, National Center for Education Statistics, YouTube data analysis, statistical anomalies, internet phenomena, online engagement, academia, internet entertainment, cultural influences, statistical analysis

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



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Data details

Associates degrees awarded in gender studies
Detailed data title: Associate's degrees conferred by postsecondary institutions with a field of study of Area, ethnic, cultural, gender, and group studies
Source: National Center for Education Statistics
See what else correlates with Associates degrees awarded in gender studies

The average number of likes on OverSimplified YouTube videos
Detailed data title: The average number of likes on OverSimplified YouTube videos.
Source: YouTube
See what else correlates with The average number of likes on OverSimplified YouTube videos

Correlation r = 0.8626614 (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 = 0.7441848 (Coefficient of determination)
This means 74.4% of the change in the one variable (i.e., The average number of likes on OverSimplified YouTube videos) is predictable based on the change in the other (i.e., Associates degrees awarded in gender studies) over the 6 years from 2016 through 2021.

p < 0.05, which statistically significant(Null hypothesis significance test)
The p-value is 0.027. 0.0269975866187784500000000000
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 0.86 in 2.7% of random cases. Said differently, if you correlated 37 random variables Which I absolutely did.
with the same 5 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 5 because we have two variables measured over a period of 6 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.

[ 0.17, 0.98 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

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


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

Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
201620172018201920202021
Associates degrees awarded in gender studies (Degrees awarded)419420559713673936
The average number of likes on OverSimplified YouTube videos (Average likes)510260420704618053581376622617695073




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. 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.




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([419,420,559,713,673,936,])
array_2 = np.array([510260,420704,618053,581376,622617,695073,])
array_1_name = "Associates degrees awarded in gender studies"
array_2_name = "The average number of likes on OverSimplified YouTube videos"

# 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: 5538 · Black Variable ID: 1210 · Red Variable ID: 25624
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