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Spurious correlation #5,800 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Total views on MrBeast's YouTube videos and the second variable is The number of food service managers in Florida.  The chart goes from 2012 to 2022, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

MrBeast's viral food challenges were really 'cooking up' a storm, leading to a demand for more food service managers in Florida to 'reel' in all the potential business and make sure everything was 'MrFeast' ready! It seems like his videos were not only 'feeding' his viewers' appetites for entertainment, but also 'serving' up career inspiration in the food industry. Who knew that watching MrBeast could 'pan' out into a job boom for food service managers in the Sunshine State? It's a real recipe for success in both the digital and culinary worlds!

Model: dalle-3
Prompt: [A funny image you would see on reddit] Generate an image showing a crowded Florida restaurant with MrBeast's YouTube videos playing on a TV in the background. A group of food service managers are gathered, discussing strategies to handle the increased demand brought on by the viral food challenges. The scene should reflect the intersection of MrBeast's total views and the growing number of food service managers in Florida, merging the digital and culinary worlds in a recipe for success. The image should capture the energetic atmosphere and the merging of digital and culinary elements in a playful and lighthearted way. 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: Total views on MrBeast's YouTube videos and The number of food service managers in Florida. 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: Low poly Vaporwave a funny image you would see on reddit Cyberpunk Hyper-realistic
ChatGPT: a funny image you would see on reddit

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 Total views on MrBeast's YouTube videos and The number of food service managers in Florida, in the following situation: MrBeast's viral food challenges were really 'cooking up' a storm, leading to a demand for more food service managers in Florida to 'reel' in all the potential business and make sure everything was 'MrFeast' ready! It seems like his videos were not only 'feeding' his viewers' appetites for entertainment, but also 'serving' up career inspiration in the food industry. Who knew that watching MrBeast could 'pan' out into a job boom for food service managers in the Sunshine State? It's a real recipe for success in both the digital and culinary worlds!. Keep the description simple.
ChatGPT: In a bustling Florida restaurant, MrBeast's YouTube videos play on a TV screen in the background, attracting a large crowd of viewers. Meanwhile, a group of food service managers are seen discussing strategies to handle the increased demand brought on by the viral food challenges. The scene reflects the intersection of MrBeast's total views and the growing number of food service managers in Florida, merging the digital and culinary worlds in a recipe for success.

Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ a funny image you would see on reddit ] and depicting this scene: In a bustling Florida restaurant, MrBeast's YouTube videos play on a TV screen in the background, attracting a large crowd of viewers. Meanwhile, a group of food service managers are seen discussing strategies to handle the increased demand brought on by the viral food challenges. The scene reflects the intersection of MrBeast's total views and the growing number of food service managers in Florida, merging the digital and culinary worlds in a recipe for success. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: [A funny image you would see on reddit] Generate an image showing a crowded Florida restaurant with MrBeast's YouTube videos playing on a TV in the background. A group of food service managers are gathered, discussing strategies to handle the increased demand brought on by the viral food challenges. The scene should reflect the intersection of MrBeast's total views and the growing number of food service managers in Florida, merging the digital and culinary worlds in a recipe for success. The image should capture the energetic atmosphere and the merging of digital and culinary elements in a playful and lighthearted way.

*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 Total views on MrBeast YouTube videos caused The number of food service managers in Florida to increase. Include one good pun.

AI academic paper

(Because p < 0.01)
From Feast to Famine: Exploring the Link Between MrBeast YouTube Video Views and the Appetite for Food Service Management in Florida

International Journal of Viral Media Studies

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 Total views on MrBeast YouTube videos and The number of food service managers in Florida. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Make the title a clever pun.

Your research team used data from YouTube and Bureau of Larbor Statistics to assess this nagging question. You found a correlation coefficient of 0.9760839 and p < 0.01 for 2012 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]]
From Feast to Famine: Exploring the Link Between MrBeast YouTube Video Views and the Appetite for Food Service Management in Florida

[[ABSTRACT]]
This paper examines the correlation between the total views of MrBeast’s YouTube videos and the demand for food service managers in the state of Florida. Drawing on data from YouTube and the Bureau of Labor Statistics for the years 2012 to 2022, we discovered a remarkably high correlation coefficient of 0.9760839, with a statistically significant p-value of less than 0.01. Our findings suggest a surprisingly strong association between the online popularity of MrBeast's videos and the need for skilled management in the food service industry. The implications of this unexpected connection raise intriguing questions about the potential influence of influencer marketing on consumer behavior, as well as the evolving nature of digital fame in the 21st century. This research sheds light on the untold tale of how viral videos may hold the key to satisfying more than just our appetite for entertainment.


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 Total views on MrBeast YouTube videos and The number of food service managers in Florida. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, 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]]
From Feast to Famine: Exploring the Link Between MrBeast YouTube Video Views and the Appetite for Food Service Management in Florida

[[ABSTRACT]]
This paper examines the correlation between the total views of MrBeast’s YouTube videos and the demand for food service managers in the state of Florida. Drawing on data from YouTube and the Bureau of Labor Statistics for the years 2012 to 2022, we discovered a remarkably high correlation coefficient of 0.9760839, with a statistically significant p-value of less than 0.01. Our findings suggest a surprisingly strong association between the online popularity of MrBeast's videos and the need for skilled management in the food service industry. The implications of this unexpected connection raise intriguing questions about the potential influence of influencer marketing on consumer behavior, as well as the evolving nature of digital fame in the 21st century. This research sheds light on the untold tale of how viral videos may hold the key to satisfying more than just our appetite for entertainment.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
INTRODUCTION

The tantalizing world of online content creation has become an irresistible playground for both creators and consumers. With the rise of digital platforms, individuals have found themselves curiously attracted to various online personas and the content they offer. Amidst this digital cacophony, one prominent figure shines bright – MrBeast. Known for his extravagant philanthropy and eye-catching stunts, MrBeast has amassed a substantial following on YouTube, capturing the attention of millions with his viral videos.

In a curious twist of fate, we find ourselves delving into an unexpected realm where the allure of MrBeast's YouTube adventures intersects with the unassuming world of food service management in the Sunshine State of Florida. Our journey unravels a perplexing web of connections, where the ebbs and flows of video popularity seem to intertwine with the demands of the food service industry.

Drawing on the inexhaustible reserves of data and the allure of statistical analysis, we venture to untangle the invisible threads that tie MrBeast's YouTube video views to the intriguing appetite for food service managers in Florida. At first glance, it may appear to be a whimsical pursuit, akin to chasing elusive culinary dreams in a digital mirage. However, as we embark on this scholarly expedition, we are compelled to reconsider the interplay between online influence and economic needs in a manner not previously envisaged.

With the formidable tools of regression analysis and correlation coefficients in hand, we aim to elevate this seemingly whimsical pursuit to the lofty heights of academic inquiry. Steadfast in our resolve, we shall unfurl the narrative of how these ostensibly disparate variables coalesce to form a tale that transcends conventional logic and challenges our preconceived notions.

Throughout this quest, we invite our esteemed readers to accompany us in navigating the uncharted waters of unexpected connections and transformative insights. As we embark on this scholarly journey, we are not merely spectators to an academic spectacle; we become partakers in a grand intellectual banquet, flavored with statistical seasoning and peppered with puns and cheeky asides. Join us as we unearth the intriguing dynamics at play within the realms of digital fame, gastronomic enterprises, and the unsuspected harmony between the two.


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 Total views on MrBeast YouTube videos and The number of food service managers in Florida. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, 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. Perhaps you also got inspiration from some board games that are vaugely related.

Here is the title and abstract of the paper:
[[TITLE]]
From Feast to Famine: Exploring the Link Between MrBeast YouTube Video Views and the Appetite for Food Service Management in Florida

[[ABSTRACT]]
This paper examines the correlation between the total views of MrBeast’s YouTube videos and the demand for food service managers in the state of Florida. Drawing on data from YouTube and the Bureau of Labor Statistics for the years 2012 to 2022, we discovered a remarkably high correlation coefficient of 0.9760839, with a statistically significant p-value of less than 0.01. Our findings suggest a surprisingly strong association between the online popularity of MrBeast's videos and the need for skilled management in the food service industry. The implications of this unexpected connection raise intriguing questions about the potential influence of influencer marketing on consumer behavior, as well as the evolving nature of digital fame in the 21st century. This research sheds light on the untold tale of how viral videos may hold the key to satisfying more than just our appetite for entertainment.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
INTRODUCTION
The tantalizing world of online content creation has become an irresistible playground for both creators and consumers. With the rise of digital platforms, individuals have found themselves curiously attracted to various online personas and the content they offer. Amidst this digital cacophony, one prominent figure shines bright – MrBeast. Known for his extravagant philanthropy and eye-catching stunts, MrBeast has amassed a substantial following on YouTube, capturing the attention of millions with his viral videos.
In a curious twist of fate, we find ourselves delving into an unexpected realm where the allure of MrBeast's YouTube adventures intersects with the unassuming world of food service management in the Sunshine State of Florida. Our journey unravels a perplexing web of connections, where the ebbs and flows of video popularity seem to intertwine with the demands of the food service industry.
Drawing on the inexhaustible reserves of data and the allure of statistical analysis, we venture to untangle the invisible threads that tie MrBeast's YouTube video views to the intriguing appetite for food service managers in Florida. At first glance, it may appear to be a whimsical pursuit, akin to chasing elusive culinary dreams in a digital mirage. However, as we embark on this scholarly expedition, we are compelled to reconsider the interplay between online influence and economic needs in a manner not previously envisaged.
With the formidable tools of regression analysis and correlation coefficients in hand, we aim to elevate this seemingly whimsical pursuit to the lofty heights of academic inquiry. Steadfast in our resolve, we shall unfurl the narrative of how these ostensibly disparate variables coalesce to form a tale that transcends conventional logic and challenges our preconceived notions.
Throughout this quest, we invite our esteemed readers to accompany us in navigating the uncharted waters of unexpected connections and transformative insights. As we embark on this scholarly journey, we are not merely spectators to an academic spectacle; we become partakers in a grand intellectual banquet, flavored with statistical seasoning and peppered with puns and cheeky asides. Join us as we unearth the intriguing dynamics at play within the realms of digital fame, gastronomic enterprises, and the unsuspected harmony between the two.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The exploration of the relationship between the total views of MrBeast’s YouTube videos and the demand for food service managers in Florida prompts a whimsical journey through the annals of literature, delving into unexpected connections and veering into uncharted territories. At its core, this inquiry calls for an intersection of seemingly incongruous domains, where the virtual whimsy of online stardom entwines with the practical demands of the culinary landscape in the sunshine state.

Serious inquiries into societal trends and cultural phenomena have often ignited unconventional explorations. In "Internet Phenomena" by Smith, the authors offer insightful perspectives on the transformative impact of digital influencers on consumer behavior. While the focus may not be on Florida's culinary world, the study elicits broader discourse on the sway of viral content in shaping societal appetites – both literal and figurative.

Doe's "Digital Impact" parallels the contemporary digital landscape with the potent influence of individual tastemakers, providing a theoretical scaffold for unraveling the repercussions of online fame. Furthermore, Jones' "Economic Implications of Social Media" supplies a framework for understanding the economic undercurrents of digital phenomena and their unlikely tangents.

Departing from the conventional, yet undeniably relevant, sources, the query at hand beckons us to explore tangential domains that may hold subtle relevance to our peculiar investigation. Unconventional as it may seem, literature finds itself offering a ripe trove of tangentially relevant material. "The Art of Culinary Management" by Chef Gordon showcases the connoisseurship of food management, albeit in a culinary domain far removed from the digital spheres we explore. Additionally, "Influencer Economics" by Marketing Maven offers insights into the intriguing world of virtual tastemakers, providing context for understanding the influence of online content creators.

As we enter a realm where scholarly rigor melds seamlessly with lighthearted musings, it would be remiss to overlook the idiosyncratic intersections that form along this intellectual escapade. "The Hunger Games" by Suzanne Collins, though a work of fiction, speaks to the captivating allure of gastronomic endeavors in the context of heightened competition – an allusion that bears uncanny relevance to our pursuit.

Furthermore, "The Game of Life" by Milton Bradley, while primarily a board game, provides a metaphorical vantage point for understanding the intricate maneuvers and unexpected turns that characterize the fusion of virtual fame and the real-world demands of culinary management.

Our dive into the literature reveals a motley blend of theoretical foundations, unexpected allegories, and the promise of unearthing peculiar parallels – setting the stage for an academic inquiry unlike any other. As we proceed, we invite our readers to partake in this scholarly banquet, sprinkled with the spice of unconventional insights and seasoned with the zest of unexpected connections.


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 Total views on MrBeast YouTube videos and The number of food service managers in Florida. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, 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 YouTube and Bureau of Larbor Statistics . You used data from 2012 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]]
From Feast to Famine: Exploring the Link Between MrBeast YouTube Video Views and the Appetite for Food Service Management in Florida

[[ABSTRACT]]
This paper examines the correlation between the total views of MrBeast’s YouTube videos and the demand for food service managers in the state of Florida. Drawing on data from YouTube and the Bureau of Labor Statistics for the years 2012 to 2022, we discovered a remarkably high correlation coefficient of 0.9760839, with a statistically significant p-value of less than 0.01. Our findings suggest a surprisingly strong association between the online popularity of MrBeast's videos and the need for skilled management in the food service industry. The implications of this unexpected connection raise intriguing questions about the potential influence of influencer marketing on consumer behavior, as well as the evolving nature of digital fame in the 21st century. This research sheds light on the untold tale of how viral videos may hold the key to satisfying more than just our appetite for entertainment.

[[INTRODUCTION]]
INTRODUCTION
The tantalizing world of online content creation has become an irresistible playground for both creators and consumers. With the rise of digital platforms, individuals have found themselves curiously attracted to various online personas and the content they offer. Amidst this digital cacophony, one prominent figure shines bright – MrBeast. Known for his extravagant philanthropy and eye-catching stunts, MrBeast has amassed a substantial following on YouTube, capturing the attention of millions with his viral videos.
In a curious twist of fate, we find ourselves delving into an unexpected realm where the allure of MrBeast's YouTube adventures intersects with the unassuming world of food service management in the Sunshine State of Florida. Our journey unravels a perplexing web of connections, where the ebbs and flows of video popularity seem to intertwine with the demands of the food service industry.
Drawing on the inexhaustible reserves of data and the allure of statistical analysis, we venture to untangle the invisible threads that tie MrBeast's YouTube video views to the intriguing appetite for food service managers in Florida. At first glance, it may appear to be a whimsical pursuit, akin to chasing elusive culinary dreams in a digital mirage. However, as we embark on this scholarly expedition, we are compelled to reconsider the interplay between online influence and economic needs in a manner not previously envisaged.
With the formidable tools of regression analysis and correlation coefficients in hand, we aim to elevate this seemingly whimsical pursuit to the lofty heights of academic inquiry. Steadfast in our resolve, we shall unfurl the narrative of how these ostensibly disparate variables coalesce to form a tale that transcends conventional logic and challenges our preconceived notions.
Throughout this quest, we invite our esteemed readers to accompany us in navigating the uncharted waters of unexpected connections and transformative insights. As we embark on this scholarly journey, we are not merely spectators to an academic spectacle; we become partakers in a grand intellectual banquet, flavored with statistical seasoning and peppered with puns and cheeky asides. Join us as we unearth the intriguing dynamics at play within the realms of digital fame, gastronomic enterprises, and the unsuspected harmony between the two.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

METHODOLOGY

To unravel the mysterious connection between MrBeast's YouTube video views and the demand for food service managers in Florida, our research team employed an assortment of statistical methods and data sources. Our approach involved a blend of quantitative analysis, data mining, and a sprinkle of serendipity to illuminate this enthralling correlation.

Data Collection
Our data collection process commenced with mining a trove of information from the expansive realm of YouTube. We meticulously recorded the total views of all MrBeast videos from 2012 to 2022, utilizing advanced web scraping techniques to ensure the comprehensive capture of this digital phenomenon. The Bureau of Labor Statistics provided the necessary data on the number of food service managers employed in the sizzling state of Florida over the same timeframe, allowing us to juxtapose these seemingly disparate variables.

Statistical Analysis
With our dataset in hand, we invoked the powers of statistical analysis to discern potential associations between MrBeast's online escapades and the culinary leadership needs of Florida. Employing regression analysis, we probed the intricate nuances of these variables, peeling back layer after layer of statistical intrigue to uncover any underlying patterns.

Correlation Coefficients
The correlation coefficient emerged as a gallant knight in our statistical toolkit, standing valiantly to quantify the strength and direction of the relationship between MrBeast's YouTube video views and the demand for food service managers in Florida. With bated breath, we computed this coefficient, eager to witness the bond between digital fame and the gastronomic workforce unveil itself.

P-Value Excavation
The excavation of p-values became our archaeological endeavor, delving deep into the statistical strata to discern the significance of our findings. Each p-value unearthed represented a piece of evidence in our quest to validate the observed connection, allowing us to discern the likelihood of these results occurring by chance.

Potential Confounding Variables
While we reveled in the marvels of statistical exploration, we remained vigilant in identifying and accounting for potential confounding variables that could obfuscate our findings. Our pursuit of scientific rigor led us to consider factors such as temporal trends, demographic shifts, and the ever-elusive influence of internet fads.

Sundry and Superfluous Measures
In our pursuit of academic thoroughness, we made use of various other statistical measures and diagnostic tests, ensuring that no stone was left unturned in our quest to unveil the enigmatic relationship between the digital panache of MrBeast's videos and the appetite for food service managers in Florida.

Our methodology, guided by equal parts scholarly commitment and irrepressible curiosity, laid the foundation for uncovering this unexpected and delightful nexus between online viewership and the gastronomic workforce. As we venture further into the expanses of our statistical odyssey, we invite our readers to join us in these whimsical entanglements, where the algorithms of academia intersect with the whimsy of online stardom.


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 Total views on MrBeast YouTube videos and The number of food service managers in Florida. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, 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 YouTube and Bureau of Larbor Statistics .

For the time period 2012 to 2022, you found a correlation 0.9760839, r-squared of 0.9527397, and p < 0.01.

One figure will be included. The figure (Fig. 1) is a scatterplot showing the strong correlation between the two variables. You don't need to specify where; I will add the figure.

Here is the title and abstract of the paper:
[[TITLE]]
From Feast to Famine: Exploring the Link Between MrBeast YouTube Video Views and the Appetite for Food Service Management in Florida

[[ABSTRACT]]
This paper examines the correlation between the total views of MrBeast’s YouTube videos and the demand for food service managers in the state of Florida. Drawing on data from YouTube and the Bureau of Labor Statistics for the years 2012 to 2022, we discovered a remarkably high correlation coefficient of 0.9760839, with a statistically significant p-value of less than 0.01. Our findings suggest a surprisingly strong association between the online popularity of MrBeast's videos and the need for skilled management in the food service industry. The implications of this unexpected connection raise intriguing questions about the potential influence of influencer marketing on consumer behavior, as well as the evolving nature of digital fame in the 21st century. This research sheds light on the untold tale of how viral videos may hold the key to satisfying more than just our appetite for entertainment.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
INTRODUCTION
The tantalizing world of online content creation has become an irresistible playground for both creators and consumers. With the rise of digital platforms, individuals have found themselves curiously attracted to various online personas and the content they offer. Amidst this digital cacophony, one prominent figure shines bright – MrBeast. Known for his extravagant philanthropy and eye-catching stunts, MrBeast has amassed a substantial following on YouTube, capturing the attention of millions with his viral videos.
In a curious twist of fate, we find ourselves delving into an unexpected realm where the allure of MrBeast's YouTube adventures intersects with the unassuming world of food service management in the Sunshine State of Florida. Our journey unravels a perplexing web of connections, where the ebbs and flows of video popularity seem to intertwine with the demands of the food service industry.
Drawing on the inexhaustible reserves of data and the allure of statistical analysis, we venture to untangle the invisible threads that tie MrBeast's YouTube video views to the intriguing appetite for food service managers in Florida. At first glance, it may appear to be a whimsical pursuit, akin to chasing elusive culinary dreams in a digital mirage. However, as we embark on this scholarly expedition, we are compelled to reconsider the interplay between online influence and economic needs in a manner not previously envisaged.
With the formidable tools of regression analysis and correlation coefficients in hand, we aim to elevate this seemingly whimsical pursuit to the lofty heights of academic inquiry. Steadfast in our resolve, we shall unfurl the narrative of how these ostensibly disparate variables coalesce to form a tale that transcends conventional logic and challenges our preconceived notions.
Throughout this quest, we invite our esteemed readers to accompany us in navigating the uncharted waters of unexpected connections and transformative insights. As we embark on this scholarly journey, we are not merely spectators to an academic spectacle; we become partakers in a grand intellectual banquet, flavored with statistical seasoning and peppered with puns and cheeky asides. Join us as we unearth the intriguing dynamics at play within the realms of digital fame, gastronomic enterprises, and the unsuspected harmony between the two.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

During the period of our study from 2012 to 2022, we observed a surprising correlation between the total views of MrBeast's YouTube videos and the number of food service managers in Florida. Our analysis revealed a substantial correlation coefficient of 0.9760839, indicating a remarkably strong relationship between these seemingly unrelated variables. This finding is akin to stumbling upon a treasure chest filled with gourmet goodies in the unlikeliest of places - a true feast for the mind.

The high goodness-of-fit value, with an r-squared of 0.9527397, suggests that the demand for food service managers in Florida is intricately intertwined with the digital popularity of MrBeast's videos, like two chefs crafting a delectable fusion dish from unexpected ingredients. Furthermore, the statistically significant p-value of less than 0.01 underscores the robustness of this correlation, affirming that it is not a statistical fluke but rather a substantial link worthy of scholarly attention.

Where statistics failed to tantalize, our scatterplot (Fig. 1) picked up the slack, vividly illustrating the strong positive relationship between MrBeast's YouTube video views and the demand for food service managers in Florida - a visual treat for those yearning for empirical evidence presented in a flavor-packed format.

These results leave us with a puzzle that calls for a feast of the mind, sparking questions about the potential influence of MrBeast's online presence on the culinary landscape of Florida. Our findings open the door to a world where digital fame and the need for managing culinary endeavors merge like chocolate and peanut butter - a delightful combination that piques both curiosity and appetite for further exploration.


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 Total views on MrBeast YouTube videos and The number of food service managers in Florida. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, 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]]
From Feast to Famine: Exploring the Link Between MrBeast YouTube Video Views and the Appetite for Food Service Management in Florida

[[ABSTRACT]]
This paper examines the correlation between the total views of MrBeast’s YouTube videos and the demand for food service managers in the state of Florida. Drawing on data from YouTube and the Bureau of Labor Statistics for the years 2012 to 2022, we discovered a remarkably high correlation coefficient of 0.9760839, with a statistically significant p-value of less than 0.01. Our findings suggest a surprisingly strong association between the online popularity of MrBeast's videos and the need for skilled management in the food service industry. The implications of this unexpected connection raise intriguing questions about the potential influence of influencer marketing on consumer behavior, as well as the evolving nature of digital fame in the 21st century. This research sheds light on the untold tale of how viral videos may hold the key to satisfying more than just our appetite for entertainment.

[[LITERATURE REVIEW]]
The exploration of the relationship between the total views of MrBeast’s YouTube videos and the demand for food service managers in Florida prompts a whimsical journey through the annals of literature, delving into unexpected connections and veering into uncharted territories. At its core, this inquiry calls for an intersection of seemingly incongruous domains, where the virtual whimsy of online stardom entwines with the practical demands of the culinary landscape in the sunshine state.
Serious inquiries into societal trends and cultural phenomena have often ignited unconventional explorations. In "Internet Phenomena" by Smith, the authors offer insightful perspectives on the transformative impact of digital influencers on consumer behavior. While the focus may not be on Florida's culinary world, the study elicits broader discourse on the sway of viral content in shaping societal appetites – both literal and figurative.
Doe's "Digital Impact" parallels the contemporary digital landscape with the potent influence of individual tastemakers, providing a theoretical scaffold for unraveling the repercussions of online fame. Furthermore, Jones' "Economic Implications of Social Media" supplies a framework for understanding the economic undercurrents of digital phenomena and their unlikely tangents.
Departing from the conventional, yet undeniably relevant, sources, the query at hand beckons us to explore tangential domains that may hold subtle relevance to our peculiar investigation. Unconventional as it may seem, literature finds itself offering a ripe trove of tangentially relevant material. "The Art of Culinary Management" by Chef Gordon showcases the connoisseurship of food management, albeit in a culinary domain far removed from the digital spheres we explore. Additionally, "Influencer Economics" by Marketing Maven offers insights into the intriguing world of virtual tastemakers, providing context for understanding the influence of online content creators.
As we enter a realm where scholarly rigor melds seamlessly with lighthearted musings, it would be remiss to overlook the idiosyncratic intersections that form along this intellectual escapade. "The Hunger Games" by Suzanne Collins, though a work of fiction, speaks to the captivating allure of gastronomic endeavors in the context of heightened competition – an allusion that bears uncanny relevance to our pursuit.
Furthermore, "The Game of Life" by Milton Bradley, while primarily a board game, provides a metaphorical vantage point for understanding the intricate maneuvers and unexpected turns that characterize the fusion of virtual fame and the real-world demands of culinary management.
Our dive into the literature reveals a motley blend of theoretical foundations, unexpected allegories, and the promise of unearthing peculiar parallels – setting the stage for an academic inquiry unlike any other. As we proceed, we invite our readers to partake in this scholarly banquet, sprinkled with the spice of unconventional insights and seasoned with the zest of unexpected connections.

[[RESULTS]]
During the period of our study from 2012 to 2022, we observed a surprising correlation between the total views of MrBeast's YouTube videos and the number of food service managers in Florida. Our analysis revealed a substantial correlation coefficient of 0.9760839, indicating a remarkably strong relationship between these seemingly unrelated variables. This finding is akin to stumbling upon a treasure chest filled with gourmet goodies in the unlikeliest of places - a true feast for the mind.
The high goodness-of-fit value, with an r-squared of 0.9527397, suggests that the demand for food service managers in Florida is intricately intertwined with the digital popularity of MrBeast's videos, like two chefs crafting a delectable fusion dish from unexpected ingredients. Furthermore, the statistically significant p-value of less than 0.01 underscores the robustness of this correlation, affirming that it is not a statistical fluke but rather a substantial link worthy of scholarly attention.
Where statistics failed to tantalize, our scatterplot (Fig. 1) picked up the slack, vividly illustrating the strong positive relationship between MrBeast's YouTube video views and the demand for food service managers in Florida - a visual treat for those yearning for empirical evidence presented in a flavor-packed format.
These results leave us with a puzzle that calls for a feast of the mind, sparking questions about the potential influence of MrBeast's online presence on the culinary landscape of Florida. Our findings open the door to a world where digital fame and the need for managing culinary endeavors merge like chocolate and peanut butter - a delightful combination that piques both curiosity and appetite for further exploration.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

Our study unveiled a remarkable correlation between the total views of MrBeast's YouTube videos and the demand for food service managers in Florida, painting a picture of an unexpected tandem akin to discovering an impeccably paired wine and cheese. This intriguing relationship, supported by a robust correlation coefficient and statistically significant p-value, aligns with earlier musings in the literature that hinted at the unanticipated interplay of virtual fame and real-world domains. It's as if we stumbled upon a culinary fusion that seamlessly meshes the flavors of digital stardom and the practical demands of food management, much like a chef concocting an eccentric yet delectable dish that leaves the palate surprised yet thoroughly satisfied.

The echoes of our results reverberate with the whimsical anecdotes and uncanny parallels found in the literature. The engaging discourse on internet phenomena, the analyses of influencer economics, and even the tongue-in-cheek references to board games and literary sagas have lent credence to our unexpected findings. It's as if the scholarly banquet we partook in left us with an unexpected gastronomic delight that defied traditional palates and tantalized our academic appetites.

Our findings raise the tantalizing question of whether the digital influence of MrBeast has carved a niche in the culinary terrain of Florida, akin to the savory spices merging harmoniously in a gourmet dish. It encourages us to deconstruct the mechanisms through which the virtual stardom of MrBeast transmutes into a palpable demand for food service managers, resembling the enigmatic alchemy of flavors in a masterfully crafted meal.

As we savor the unexpected confluence of MrBeast's YouTube views and the appetite for food service managers in Florida, we are compelled to entertain the possibility of broader implications for influencer marketing, consumer behavior, and the contours of digital fame in today's interconnected world. Perhaps, much like a tantalizing recipe that transcends expectations, our research offers a flavorful narrative that challenges conventional perspectives and invites a feast of intellectual curiosity.

Our findings beckon us to embrace the unconventional and relish the interplay of variables that, on the surface, appear as incongruous as a whimsical fusion dish but reveal a nuanced harmony upon closer examination. It's as if we stumbled upon a culinary concoction so unexpected, yet so satisfying, that it leaves a lingering taste of scholarly delight, tantalizing the senses and fostering an appetite for further exploration.


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 Total views on MrBeast YouTube videos and The number of food service managers in Florida. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, 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]]
From Feast to Famine: Exploring the Link Between MrBeast YouTube Video Views and the Appetite for Food Service Management in Florida

[[ABSTRACT]]
This paper examines the correlation between the total views of MrBeast’s YouTube videos and the demand for food service managers in the state of Florida. Drawing on data from YouTube and the Bureau of Labor Statistics for the years 2012 to 2022, we discovered a remarkably high correlation coefficient of 0.9760839, with a statistically significant p-value of less than 0.01. Our findings suggest a surprisingly strong association between the online popularity of MrBeast's videos and the need for skilled management in the food service industry. The implications of this unexpected connection raise intriguing questions about the potential influence of influencer marketing on consumer behavior, as well as the evolving nature of digital fame in the 21st century. This research sheds light on the untold tale of how viral videos may hold the key to satisfying more than just our appetite for entertainment.

[[INTRDUCTION]]
INTRODUCTION
The tantalizing world of online content creation has become an irresistible playground for both creators and consumers. With the rise of digital platforms, individuals have found themselves curiously attracted to various online personas and the content they offer. Amidst this digital cacophony, one prominent figure shines bright – MrBeast. Known for his extravagant philanthropy and eye-catching stunts, MrBeast has amassed a substantial following on YouTube, capturing the attention of millions with his viral videos.
In a curious twist of fate, we find ourselves delving into an unexpected realm where the allure of MrBeast's YouTube adventures intersects with the unassuming world of food service management in the Sunshine State of Florida. Our journey unravels a perplexing web of connections, where the ebbs and flows of video popularity seem to intertwine with the demands of the food service industry.
Drawing on the inexhaustible reserves of data and the allure of statistical analysis, we venture to untangle the invisible threads that tie MrBeast's YouTube video views to the intriguing appetite for food service managers in Florida. At first glance, it may appear to be a whimsical pursuit, akin to chasing elusive culinary dreams in a digital mirage. However, as we embark on this scholarly expedition, we are compelled to reconsider the interplay between online influence and economic needs in a manner not previously envisaged.
With the formidable tools of regression analysis and correlation coefficients in hand, we aim to elevate this seemingly whimsical pursuit to the lofty heights of academic inquiry. Steadfast in our resolve, we shall unfurl the narrative of how these ostensibly disparate variables coalesce to form a tale that transcends conventional logic and challenges our preconceived notions.
Throughout this quest, we invite our esteemed readers to accompany us in navigating the uncharted waters of unexpected connections and transformative insights. As we embark on this scholarly journey, we are not merely spectators to an academic spectacle; we become partakers in a grand intellectual banquet, flavored with statistical seasoning and peppered with puns and cheeky asides. Join us as we unearth the intriguing dynamics at play within the realms of digital fame, gastronomic enterprises, and the unsuspected harmony between the two.

[[RESULTS]]
During the period of our study from 2012 to 2022, we observed a surprising correlation between the total views of MrBeast's YouTube videos and the number of food service managers in Florida. Our analysis revealed a substantial correlation coefficient of 0.9760839, indicating a remarkably strong relationship between these seemingly unrelated variables. This finding is akin to stumbling upon a treasure chest filled with gourmet goodies in the unlikeliest of places - a true feast for the mind.
The high goodness-of-fit value, with an r-squared of 0.9527397, suggests that the demand for food service managers in Florida is intricately intertwined with the digital popularity of MrBeast's videos, like two chefs crafting a delectable fusion dish from unexpected ingredients. Furthermore, the statistically significant p-value of less than 0.01 underscores the robustness of this correlation, affirming that it is not a statistical fluke but rather a substantial link worthy of scholarly attention.
Where statistics failed to tantalize, our scatterplot (Fig. 1) picked up the slack, vividly illustrating the strong positive relationship between MrBeast's YouTube video views and the demand for food service managers in Florida - a visual treat for those yearning for empirical evidence presented in a flavor-packed format.
These results leave us with a puzzle that calls for a feast of the mind, sparking questions about the potential influence of MrBeast's online presence on the culinary landscape of Florida. Our findings open the door to a world where digital fame and the need for managing culinary endeavors merge like chocolate and peanut butter - a delightful combination that piques both curiosity and appetite for further exploration.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our research has unveiled an unexpected and robust correlation between the total views of MrBeast’s YouTube videos and the demand for food service managers in Florida. This connection, akin to discovering an exotic dish at a humble eatery, challenges conventional wisdom and beckons further exploration into the interplay of online fame and gastronomic ambitions. As tempting as it may be to indulge in further statistical banquets and visually delightful scatterplots, we assert that no more research is needed in this area. Instead, let us savor this quirky finding like a rare culinary delight and relish the humor in this unusual juxtaposition of statistical variables. After all, who would have thought that viral videos and food service management could be intertwined like a pair of inseparable dance partners in a whimsical statistical waltz?


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 From Feast to Famine: Exploring the Link Between MrBeast YouTube Video Views and the Appetite for Food Service Management in Florida. Respond only with the name of a fictional academic journal.

ChatGPT:

International Journal of Viral Media Studies


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 From Feast to Famine: Exploring the Link Between MrBeast YouTube Video Views and the Appetite for Food Service Management in Florida. Respond only with the name of a fictional organization.

ChatGPT:

The Center for Digital Influence and Culinary Trends


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 From Feast to Famine: Exploring the Link Between MrBeast YouTube Video Views and the Appetite for Food Service Management in Florida with an abstract of This paper examines the correlation between the total views of MrBeast’s YouTube videos and the demand for food service managers in the state of Florida. Drawing on data from YouTube and the Bureau of Labor Statistics for the years 2012 to 2022, we discovered a remarkably high correlation coefficient of 0.9760839, with a statistically significant p-value of less than 0.01. Our findings suggest a surprisingly strong association between the online popularity of MrBeast's videos and the need for skilled management in the food service industry. The implications of this unexpected connection raise intriguing questions about the potential influence of influencer marketing on consumer behavior, as well as the evolving nature of digital fame in the 21st century. This research sheds light on the untold tale of how viral videos may hold the key to satisfying more than just our appetite for entertainment.

ChatGPT:

MrBeast, YouTube, video views, food service management, Florida, correlation, demand, Bureau of Labor Statistics, 2012-2022, correlation coefficient, influencer marketing, consumer behavior, digital fame, viral videos, entertainment, influencer influence

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



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Data details

Total views on MrBeast's YouTube videos
Detailed data title: Total views on MrBeast YouTube videos.
Source: YouTube
Additional Info: Current total views of videos released that year.

See what else correlates with Total views on MrBeast's YouTube videos

The number of food service managers in Florida
Detailed data title: BLS estimate of food service managers in Florida
Source: Bureau of Larbor Statistics
See what else correlates with The number of food service managers in Florida

Correlation r = 0.9760839 (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 = 0.9527397 (Coefficient of determination)
This means 95.3% of the change in the one variable (i.e., The number of food service managers in Florida) is predictable based on the change in the other (i.e., Total views on MrBeast's YouTube videos) over the 11 years from 2012 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 2.9E-7. 0.0000002861438297330843000000
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 0.98 in 2.9E-5% of random cases. Said differently, if you correlated 3,494,746 random variables You don't actually need 3 million variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.

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

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

Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 10 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 10 because we have two variables measured over a period of 11 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.

[ 0.91, 0.99 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

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


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

Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
20122013201420152016201720182019202020212022
Total views on MrBeast's YouTube videos (Total views)2552040031124500305239006008820025874200057026600038984600007706130000634922000051378100006004670000
The number of food service managers in Florida (Food Service Managers)87208120820090009160123001526020150174101776017950




Why this works

  1. Data dredging: I have 25,237 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 636,906,169 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
  2. Lack of causal connection: There is probably Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
    no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
  3. Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
    p-value calculation does not take this into account, so mathematically it appears less probable than it really is.
  4. Y-axis doesn't start at zero: I truncated the Y-axes of the graph above. I also used a line graph, which makes the visual connection stand out more than it deserves. Nothing against line graphs. They are great at telling a story when you have linear data! But visually it is deceptive because the only data is at the points on the graph, not the lines on the graph. In between each point, the data could have been doing anything. Like going for a random walk by itself!
    Mathematically what I showed is true, but it is intentionally misleading. Below is the same chart but with both Y-axes starting at zero.




Try it yourself

You can calculate the values on this page on your own! Try running the Python code to see the calculation results. Step 1: Download and install Python on your computer.

Step 2: Open a plaintext editor like Notepad and paste the code below into it.

Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"

Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.

Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.

Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.

Step 7: Run the Python script by typing "python calculate_correlation.py"

If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:

"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."


# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats

# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):

    # Calculate Pearson correlation coefficient and p-value
    correlation, p_value = stats.pearsonr(array1, array2)

    # Calculate R-squared as the square of the correlation coefficient
    r_squared = correlation**2

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([25520400,31124500,30523900,60088200,258742000,570266000,3898460000,7706130000,6349220000,5137810000,6004670000,])
array_2 = np.array([8720,8120,8200,9000,9160,12300,15260,20150,17410,17760,17950,])
array_1_name = "Total views on MrBeast's YouTube videos"
array_2_name = "The number of food service managers in Florida"

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

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



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

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

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

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Correlation ID: 5800 · Black Variable ID: 25752 · Red Variable ID: 6394
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