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Spurious correlation #4,576 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is How provocative MrBeast's YouTube video titles are and the second variable is The number of crane operators in North Carolina.  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

The influx of crane operators in North Carolina has sparked a competition to create the most attention-grabbing MrBeast video title, leading to a surge in provocative and clickbait-worthy content as these operators try to outmaneuver each other for views. The state is now experiencing a titillating tug-of-war in the skies, with the only thing higher than the cranes being the stakes for YouTube stardom.

Model: dalle-3
Prompt: Generate an image of a bustling North Carolina city skyline, with cranes reaching toward the sky. Flashy billboards promote MrBeast's latest YouTube videos, featuring exaggerated and captivating titles. The city is alive with the palpable competition as crane operators crane their necks to catch attention, mirroring the provocative clickbait titles vying for viewers' eyes. 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: How provocative MrBeast YouTube video titles are and The number of crane operators in North Carolina. 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: Cutsy art illustration Hyper-realistic a funny image macro Brutalism Magic realism
ChatGPT: a funny image macro

Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both How provocative MrBeast YouTube video titles are and The number of crane operators in North Carolina, in the following situation: The influx of crane operators in North Carolina has sparked a competition to create the most attention-grabbing MrBeast video title, leading to a surge in provocative and clickbait-worthy content as these operators try to outmaneuver each other for views. The state is now experiencing a titillating tug-of-war in the skies, with the only thing higher than the cranes being the stakes for YouTube stardom.. Keep the description simple.
ChatGPT: In a bustling North Carolina city, cranes dot the skyline as operators reach for the skies. High above, a series of flashy billboards promote MrBeast's latest YouTube videos, each boasting more exaggerated and captivating titles than the last. The competition is palpable as operators crane their necks to catch attention, mirroring the provocative clickbait titles vying for viewers' eyes.

Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ a funny image macro ] and depicting this scene: In a bustling North Carolina city, cranes dot the skyline as operators reach for the skies. High above, a series of flashy billboards promote MrBeast's latest YouTube videos, each boasting more exaggerated and captivating titles than the last. The competition is palpable as operators crane their necks to catch attention, mirroring the provocative clickbait titles vying for viewers' eyes. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a bustling North Carolina city skyline, with cranes reaching toward the sky. Flashy billboards promote MrBeast's latest YouTube videos, featuring exaggerated and captivating titles. The city is alive with the palpable competition as crane operators crane their necks to catch attention, mirroring the provocative clickbait titles vying for viewers' eyes.

*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 How provocative MrBeast YouTube video titles are caused The number of crane operators in North Carolina to increase.

AI academic paper

(Because p < 0.01)
Crane Game: The Connection Between MrBeast's Video Titles and Crane Operator Counts in North Carolina

The Journal of Internet Culture and Memetics

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 witty academic researcher. Your writing sounds like it belongs in a statistics journal.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 How provocative MrBeast YouTube video titles are and The number of crane operators in North Carolina. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Rhyme words in the title.

Your research team used data from AI analysis of YouTube video titles and Bureau of Larbor Statistics to assess this nagging question. You found a correlation coefficient of 0.9644742 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]]
Crane Game: The Connection Between MrBeast's Video Titles and Crane Operator Counts in North Carolina

[[ABSTRACT]]
In this study, we investigate the unexpected correlation between the provocative titles of popular YouTuber, MrBeast's videos, and the employment levels of crane operators in the state of North Carolina. Utilizing advanced AI analysis of MrBeast's video titles and data from the Bureau of Labor Statistics, we present a statistical analysis dating from 2012 to 2022. Remarkably, our findings reveal a correlation coefficient of 0.9644742 and p < 0.01, suggesting a strong association between the two seemingly unrelated variables. Our research provides insights into the impact of online content on occupational choices, demonstrating the influence of entertaining digital media on the labor market. The implications of this peculiar relationship will not only tickle the funny bone but also crane operators' interest in YouTube titles. After all, a good dad joke makes even the heaviest load a bit lighter!


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.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 How provocative MrBeast YouTube video titles are and The number of crane operators in North Carolina. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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]]
Crane Game: The Connection Between MrBeast's Video Titles and Crane Operator Counts in North Carolina

[[ABSTRACT]]
In this study, we investigate the unexpected correlation between the provocative titles of popular YouTuber, MrBeast's videos, and the employment levels of crane operators in the state of North Carolina. Utilizing advanced AI analysis of MrBeast's video titles and data from the Bureau of Labor Statistics, we present a statistical analysis dating from 2012 to 2022. Remarkably, our findings reveal a correlation coefficient of 0.9644742 and p < 0.01, suggesting a strong association between the two seemingly unrelated variables. Our research provides insights into the impact of online content on occupational choices, demonstrating the influence of entertaining digital media on the labor market. The implications of this peculiar relationship will not only tickle the funny bone but also crane operators' interest in YouTube titles. After all, a good dad joke makes even the heaviest load a bit lighter!

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

The world of online content creation has seen a meteoric rise in recent years, with YouTubers amassing millions of viewers through their engaging videos and catchy titles. At the forefront of this digital revolution is MrBeast, a prominent figure known for his larger-than-life stunts and altruistic giveaways. While the impact of such online personalities on viewership and internet culture has been well-documented, the influence of their content on real-world phenomena, particularly in the realm of occupational choices, has remained largely unexplored. Here we embark on a serious yet light-hearted investigation into the curious association between MrBeast's video titles and the employment levels of crane operators in the state of North Carolina. It's time to crane our necks and see what unexpected connections dangle before us.

Amidst the vast sea of internet content, MrBeast's intriguing video titles have garnered widespread attention, drawing viewers with promises of outlandish challenges, jaw-dropping giveaways, and general "money mayhem." Might there be a whimsical relationship between the allure of these titles and one's aspirations to operate towering cranes in the Tar Heel State? As we crane our necks to examine this unexpected correlation, it's clear that these findings are not merely a load of old tosh.

The state of North Carolina, with its diverse economy and varied terrain, has a substantial demand for skilled crane operators to navigate building sites, infrastructure projects, and more. The Bureau of Labor Statistics data offers a panoramic view of employment levels in this specialized occupation, while advanced AI analysis of MrBeast's video titles provides a keen insight into the provocative nature of his content. It's quite the crane-teaser to consider the role of digital entertainment in real-world occupational trends.

As we embark on this unconventional journey of statistical analysis and data interpretation, it is essential to acknowledge the unexpected humor and levity that this peculiar association brings. After all, what's a statistical analysis without a sprinkle of unexpected correlations and a dash of whimsical wit? Like a crane operator hoisting a hefty load, let's elevate the discussion to new heights and embrace the unexpected with a good dose of statistical scrutiny and a sprinkling of dad jokes. For, in the world of data analysis and occupational trends, a bit of humor can make the heaviest load a little lighter.


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.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 How provocative MrBeast YouTube video titles are and The number of crane operators in North Carolina. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name a few real TV shows that sound like they might be relevant to the topic that you watched as research.

Here is the title and abstract of the paper:
[[TITLE]]
Crane Game: The Connection Between MrBeast's Video Titles and Crane Operator Counts in North Carolina

[[ABSTRACT]]
In this study, we investigate the unexpected correlation between the provocative titles of popular YouTuber, MrBeast's videos, and the employment levels of crane operators in the state of North Carolina. Utilizing advanced AI analysis of MrBeast's video titles and data from the Bureau of Labor Statistics, we present a statistical analysis dating from 2012 to 2022. Remarkably, our findings reveal a correlation coefficient of 0.9644742 and p < 0.01, suggesting a strong association between the two seemingly unrelated variables. Our research provides insights into the impact of online content on occupational choices, demonstrating the influence of entertaining digital media on the labor market. The implications of this peculiar relationship will not only tickle the funny bone but also crane operators' interest in YouTube titles. After all, a good dad joke makes even the heaviest load a bit lighter!

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The world of online content creation has seen a meteoric rise in recent years, with YouTubers amassing millions of viewers through their engaging videos and catchy titles. At the forefront of this digital revolution is MrBeast, a prominent figure known for his larger-than-life stunts and altruistic giveaways. While the impact of such online personalities on viewership and internet culture has been well-documented, the influence of their content on real-world phenomena, particularly in the realm of occupational choices, has remained largely unexplored. Here we embark on a serious yet light-hearted investigation into the curious association between MrBeast's video titles and the employment levels of crane operators in the state of North Carolina. It's time to crane our necks and see what unexpected connections dangle before us.
Amidst the vast sea of internet content, MrBeast's intriguing video titles have garnered widespread attention, drawing viewers with promises of outlandish challenges, jaw-dropping giveaways, and general "money mayhem." Might there be a whimsical relationship between the allure of these titles and one's aspirations to operate towering cranes in the Tar Heel State? As we crane our necks to examine this unexpected correlation, it's clear that these findings are not merely a load of old tosh.
The state of North Carolina, with its diverse economy and varied terrain, has a substantial demand for skilled crane operators to navigate building sites, infrastructure projects, and more. The Bureau of Labor Statistics data offers a panoramic view of employment levels in this specialized occupation, while advanced AI analysis of MrBeast's video titles provides a keen insight into the provocative nature of his content. It's quite the crane-teaser to consider the role of digital entertainment in real-world occupational trends.
As we embark on this unconventional journey of statistical analysis and data interpretation, it is essential to acknowledge the unexpected humor and levity that this peculiar association brings. After all, what's a statistical analysis without a sprinkle of unexpected correlations and a dash of whimsical wit? Like a crane operator hoisting a hefty load, let's elevate the discussion to new heights and embrace the unexpected with a good dose of statistical scrutiny and a sprinkling of dad jokes. For, in the world of data analysis and occupational trends, a bit of humor can make the heaviest load a little lighter.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

Smith et al., in their seminal work "YouTube Titles and Occupational Aspirations," have delved into the enticing allure of YouTube video titles and their potential impact on viewers' career choices. While their study focuses primarily on educational and vocational channels, the authors hint at the broader implications of online content on occupational trends. In a surprising twist, their findings reveal a positive correlation between the use of engaging titles and viewers' exploration of unconventional career paths, prompting further investigation into the underexplored realm of entertainment media and its influence on occupational decisions. This correlation is almost as unexpected as finding a crane operator in a tree - talk about "high" career aspirations!

Turning our attention to the realm of non-fiction literature, "Crane Operations in Modern Construction" by Doe provides a comprehensive overview of the role and importance of crane operators in the construction industry. While this source may not directly address the influence of YouTube titles on occupational choices, it offers valuable insights into the demand for skilled crane operators in various regions, including North Carolina. The juxtaposition of this serious discourse with the whimsical nature of MrBeast's video titles creates a delightful collision of worlds, where the serious and the amusing converge, much like an unexpected union of statistical significance and a well-timed dad joke.

In a more whimsical vein, "The Towering Truths of Occupational Oddities" by Jones takes a lighthearted approach to exploring the quirky correlations between seemingly disparate phenomena in the labor market. Although not focused specifically on video content, the book emphasizes the unexpected connections that can emerge when analyzing occupational trends, reinforcing the notion that statistical analysis need not always be a dry endeavor. This unexpected correlation between seemingly unrelated variables is as surprising as finding a crane operator at a stand-up comedy show - a true testament to the unexpected whimsy lurking within data analysis.

Shifting our gaze to the realm of fiction, "The Crane Chronicles" by J.K. Rowling and "The Art of Lifting" by George R.R. Martin present fictional portrayals of characters with unconventional professions, albeit not explicitly as crane operators. These imaginative works serve as a reminder of the multifaceted nature of occupational depictions in literature and the unexpected ways in which fictional narratives can intersect with real-world trends. Much like the unexpected plot twists in these novels, the correlation between MrBeast's video titles and crane operator counts in North Carolina presents an intriguing tale of its own, proving that statistical analysis can be as unpredictable as a fantasy novel's plot.

As part of our comprehensive research methodology, the authors took time to thoroughly investigate relevant television programming that may shed light on the occupational psyche of crane operators. "Mega Machines: Season of the Crane" and "The Joy of Heavy Lifting" offered invaluable insights into the daily lives and work experiences of individuals operating heavy machinery, including cranes. These programs served as a source of inspiration and a reminder that beyond the numbers and correlations, the world of crane operation is a colorful tapestry of skill, determination, and the occasional lighthearted moment. The intersection between these exploratory television programs and the influence of digital content on occupational trends provides a multifaceted perspective, much like an unexpected plot twist in a reality TV show - a delightful surprise in the realm of statistical research.

In summary, the literature surrounding the influence of MrBeast's video titles on occupational trends offers a rich tapestry of research, ranging from serious empirical studies to lighthearted forays into unexpected correlations and fictional representations. As we delve deeper into this interdisciplinary investigation, it becomes increasingly clear that the unexpected pairing of statistical analysis and whimsical storytelling is as surprising as finding a crane operator moonlighting as a stand-up comedian - a delightful blend of the practical and the lighthearted.


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.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 How provocative MrBeast YouTube video titles are and The number of crane operators in North Carolina. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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 AI analysis of YouTube video titles 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]]
Crane Game: The Connection Between MrBeast's Video Titles and Crane Operator Counts in North Carolina

[[ABSTRACT]]
In this study, we investigate the unexpected correlation between the provocative titles of popular YouTuber, MrBeast's videos, and the employment levels of crane operators in the state of North Carolina. Utilizing advanced AI analysis of MrBeast's video titles and data from the Bureau of Labor Statistics, we present a statistical analysis dating from 2012 to 2022. Remarkably, our findings reveal a correlation coefficient of 0.9644742 and p < 0.01, suggesting a strong association between the two seemingly unrelated variables. Our research provides insights into the impact of online content on occupational choices, demonstrating the influence of entertaining digital media on the labor market. The implications of this peculiar relationship will not only tickle the funny bone but also crane operators' interest in YouTube titles. After all, a good dad joke makes even the heaviest load a bit lighter!

[[INTRODUCTION]]
The world of online content creation has seen a meteoric rise in recent years, with YouTubers amassing millions of viewers through their engaging videos and catchy titles. At the forefront of this digital revolution is MrBeast, a prominent figure known for his larger-than-life stunts and altruistic giveaways. While the impact of such online personalities on viewership and internet culture has been well-documented, the influence of their content on real-world phenomena, particularly in the realm of occupational choices, has remained largely unexplored. Here we embark on a serious yet light-hearted investigation into the curious association between MrBeast's video titles and the employment levels of crane operators in the state of North Carolina. It's time to crane our necks and see what unexpected connections dangle before us.
Amidst the vast sea of internet content, MrBeast's intriguing video titles have garnered widespread attention, drawing viewers with promises of outlandish challenges, jaw-dropping giveaways, and general "money mayhem." Might there be a whimsical relationship between the allure of these titles and one's aspirations to operate towering cranes in the Tar Heel State? As we crane our necks to examine this unexpected correlation, it's clear that these findings are not merely a load of old tosh.
The state of North Carolina, with its diverse economy and varied terrain, has a substantial demand for skilled crane operators to navigate building sites, infrastructure projects, and more. The Bureau of Labor Statistics data offers a panoramic view of employment levels in this specialized occupation, while advanced AI analysis of MrBeast's video titles provides a keen insight into the provocative nature of his content. It's quite the crane-teaser to consider the role of digital entertainment in real-world occupational trends.
As we embark on this unconventional journey of statistical analysis and data interpretation, it is essential to acknowledge the unexpected humor and levity that this peculiar association brings. After all, what's a statistical analysis without a sprinkle of unexpected correlations and a dash of whimsical wit? Like a crane operator hoisting a hefty load, let's elevate the discussion to new heights and embrace the unexpected with a good dose of statistical scrutiny and a sprinkling of dad jokes. For, in the world of data analysis and occupational trends, a bit of humor can make the heaviest load a little lighter.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To shed light on the surprising correlation between the provocative and attention-grabbing titles of MrBeast's YouTube videos and the number of crane operators in North Carolina, our research team embarked on a multidimensional and, dare I say, "crane-tastic" approach to data collection and analysis. We delved into layers of statistical analysis, digital content parsing, and Bureau of Labor Statistics mining to unearth the peculiar relationship between virtual entertainment and real-world occupation.

First and foremost, we harnessed the power of advanced AI algorithms to analyze the linguistic and semantic constructs of MrBeast's video titles. With a keen eye for tantalizing terminology and attention-arousing phrasing, our AI systems sifted through the extensive library of MrBeast's video titles from 2012 to 2022. This rigorous linguistic gymnastics routine enabled us to quantify the provocation levels of each title, providing a quantitative measure of the intrigue and allure embedded within.

Following this linguistic expedition, we turned our attention to the Bureau of Labor Statistics' treasure trove of employment data, specifically honing in on the occupational landscape of crane operators in the state of North Carolina. With methodical precision, we examined employment trends, demographic distributions, and geographic concentrations of crane operators, channeling our inner "data crane-alysis" to capture the essence of this specialized occupational cohort.

Now, you must be thinking, "What's the angle here?" Quite literally, we employed a geometric approach to data convergence, overlaying the linguistic provocation scores from MrBeast's video titles with the temporal and spatial deployment of crane operator employment in North Carolina. By triangulating these disparate datasets, we sought to unveil the unseen threads binding digital content consumption and occupational proclivities – a veritable game of statistical cat's cradle.

To add a touch of levity to our research endeavors, we also consulted with a panel of self-proclaimed "YouTube title connoisseurs," tasked with evaluating the level of intrigue and enticement emanating from MrBeast's oeuvre of video titles. Their playful yet insightful commentary served as a poignant reminder that statistical inquiry need not always be a somber affair – indeed, a rich seam of humor runs through the fabric of this unexpected correlation, much like an inconspicuous dad joke nestled within a sea of data.

Upon assembling the puzzle pieces of linguistic provocation scores, employment trends, and expert appraisals, we turned to the stalwart tools of statistical inference to quantify the strength and significance of the connection between MrBeast's video titles and the number of crane operators in North Carolina. Through rigorous multivariate regression and correlation analyses, we unraveled the spools of interconnectedness, culminating in the noteworthy correlation coefficient of 0.9644742 and p < 0.01. This statistical revelation not only raised eyebrows but hoisted our spirits with the unexpected whimsy of this unconventional correlation.

In summary, our research methodology exemplifies the interdisciplinary tapestry woven from linguistic analysis, occupational data scrutiny, and an unmistakable lightheartedness that enlivens the oftentimes staid landscape of statistical inquiry. With an unbridled enthusiasm for unraveling the unexpected and a penchant for peppering our analysis with an occasional dad joke, our methodology mirrors the unconventional nature of our findings – surprising, delightful, and at times, delightfully surprising. For, in the realm of statistics and occupational trends, it is not only the numbers that add up but the occasional pun that lightens the load.


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.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 How provocative MrBeast YouTube video titles are and The number of crane operators in North Carolina. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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 AI analysis of YouTube video titles and Bureau of Larbor Statistics .

For the time period 2012 to 2022, you found a correlation 0.9644742, r-squared of 0.9302104, 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]]
Crane Game: The Connection Between MrBeast's Video Titles and Crane Operator Counts in North Carolina

[[ABSTRACT]]
In this study, we investigate the unexpected correlation between the provocative titles of popular YouTuber, MrBeast's videos, and the employment levels of crane operators in the state of North Carolina. Utilizing advanced AI analysis of MrBeast's video titles and data from the Bureau of Labor Statistics, we present a statistical analysis dating from 2012 to 2022. Remarkably, our findings reveal a correlation coefficient of 0.9644742 and p < 0.01, suggesting a strong association between the two seemingly unrelated variables. Our research provides insights into the impact of online content on occupational choices, demonstrating the influence of entertaining digital media on the labor market. The implications of this peculiar relationship will not only tickle the funny bone but also crane operators' interest in YouTube titles. After all, a good dad joke makes even the heaviest load a bit lighter!

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The world of online content creation has seen a meteoric rise in recent years, with YouTubers amassing millions of viewers through their engaging videos and catchy titles. At the forefront of this digital revolution is MrBeast, a prominent figure known for his larger-than-life stunts and altruistic giveaways. While the impact of such online personalities on viewership and internet culture has been well-documented, the influence of their content on real-world phenomena, particularly in the realm of occupational choices, has remained largely unexplored. Here we embark on a serious yet light-hearted investigation into the curious association between MrBeast's video titles and the employment levels of crane operators in the state of North Carolina. It's time to crane our necks and see what unexpected connections dangle before us.
Amidst the vast sea of internet content, MrBeast's intriguing video titles have garnered widespread attention, drawing viewers with promises of outlandish challenges, jaw-dropping giveaways, and general "money mayhem." Might there be a whimsical relationship between the allure of these titles and one's aspirations to operate towering cranes in the Tar Heel State? As we crane our necks to examine this unexpected correlation, it's clear that these findings are not merely a load of old tosh.
The state of North Carolina, with its diverse economy and varied terrain, has a substantial demand for skilled crane operators to navigate building sites, infrastructure projects, and more. The Bureau of Labor Statistics data offers a panoramic view of employment levels in this specialized occupation, while advanced AI analysis of MrBeast's video titles provides a keen insight into the provocative nature of his content. It's quite the crane-teaser to consider the role of digital entertainment in real-world occupational trends.
As we embark on this unconventional journey of statistical analysis and data interpretation, it is essential to acknowledge the unexpected humor and levity that this peculiar association brings. After all, what's a statistical analysis without a sprinkle of unexpected correlations and a dash of whimsical wit? Like a crane operator hoisting a hefty load, let's elevate the discussion to new heights and embrace the unexpected with a good dose of statistical scrutiny and a sprinkling of dad jokes. For, in the world of data analysis and occupational trends, a bit of humor can make the heaviest load a little lighter.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The statistical analysis unveiled a remarkably strong positive correlation between the provocative nature of MrBeast's YouTube video titles and the employment levels of crane operators in North Carolina. Over the time period from 2012 to 2022, our findings revealed a correlation coefficient of 0.9644742, indicating a robust relationship between these seemingly disparate variables. This correlation was further supported by an r-squared value of 0.9302104, highlighting the substantial influence of MrBeast's video titles on the fluctuation of crane operator employment levels in the state.

The p-value of less than 0.01 bolsters the robustness of this finding, providing compelling evidence for a significant association between MrBeast's video titles and the number of crane operators in North Carolina. It appears that the allure of MrBeast's content is not confined solely to online entertainment but permeates into the occupational choices of individuals, particularly in the realm of crane operation. It's as if the impact of MrBeast's titles has erected a towering influence on the career paths of individuals in North Carolina.

The strong positive correlation is visually depicted in Figure 1, which showcases a scatterplot highlighting the tight relationship between the provocativeness of MrBeast's video titles and the employment levels of crane operators. The figure not only illustrates the statistical significance of our findings but also serves as a visual testament to the unexpected yet compelling association uncovered in this study.

It seems that the influence of online content, particularly that of MrBeast, extends beyond the digital realm and seeps into the fabric of occupational preferences, leaving a "crane-tastic" mark on the employment landscape of North Carolina. Indeed, it appears that when it comes to career choices, MrBeast's titles carry more weight than meets the eye!


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.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 How provocative MrBeast YouTube video titles are and The number of crane operators in North Carolina. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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]]
Crane Game: The Connection Between MrBeast's Video Titles and Crane Operator Counts in North Carolina

[[ABSTRACT]]
In this study, we investigate the unexpected correlation between the provocative titles of popular YouTuber, MrBeast's videos, and the employment levels of crane operators in the state of North Carolina. Utilizing advanced AI analysis of MrBeast's video titles and data from the Bureau of Labor Statistics, we present a statistical analysis dating from 2012 to 2022. Remarkably, our findings reveal a correlation coefficient of 0.9644742 and p < 0.01, suggesting a strong association between the two seemingly unrelated variables. Our research provides insights into the impact of online content on occupational choices, demonstrating the influence of entertaining digital media on the labor market. The implications of this peculiar relationship will not only tickle the funny bone but also crane operators' interest in YouTube titles. After all, a good dad joke makes even the heaviest load a bit lighter!

[[LITERATURE REVIEW]]
Smith et al., in their seminal work "YouTube Titles and Occupational Aspirations," have delved into the enticing allure of YouTube video titles and their potential impact on viewers' career choices. While their study focuses primarily on educational and vocational channels, the authors hint at the broader implications of online content on occupational trends. In a surprising twist, their findings reveal a positive correlation between the use of engaging titles and viewers' exploration of unconventional career paths, prompting further investigation into the underexplored realm of entertainment media and its influence on occupational decisions. This correlation is almost as unexpected as finding a crane operator in a tree - talk about "high" career aspirations!
Turning our attention to the realm of non-fiction literature, "Crane Operations in Modern Construction" by Doe provides a comprehensive overview of the role and importance of crane operators in the construction industry. While this source may not directly address the influence of YouTube titles on occupational choices, it offers valuable insights into the demand for skilled crane operators in various regions, including North Carolina. The juxtaposition of this serious discourse with the whimsical nature of MrBeast's video titles creates a delightful collision of worlds, where the serious and the amusing converge, much like an unexpected union of statistical significance and a well-timed dad joke.
In a more whimsical vein, "The Towering Truths of Occupational Oddities" by Jones takes a lighthearted approach to exploring the quirky correlations between seemingly disparate phenomena in the labor market. Although not focused specifically on video content, the book emphasizes the unexpected connections that can emerge when analyzing occupational trends, reinforcing the notion that statistical analysis need not always be a dry endeavor. This unexpected correlation between seemingly unrelated variables is as surprising as finding a crane operator at a stand-up comedy show - a true testament to the unexpected whimsy lurking within data analysis.
Shifting our gaze to the realm of fiction, "The Crane Chronicles" by J.K. Rowling and "The Art of Lifting" by George R.R. Martin present fictional portrayals of characters with unconventional professions, albeit not explicitly as crane operators. These imaginative works serve as a reminder of the multifaceted nature of occupational depictions in literature and the unexpected ways in which fictional narratives can intersect with real-world trends. Much like the unexpected plot twists in these novels, the correlation between MrBeast's video titles and crane operator counts in North Carolina presents an intriguing tale of its own, proving that statistical analysis can be as unpredictable as a fantasy novel's plot.
As part of our comprehensive research methodology, the authors took time to thoroughly investigate relevant television programming that may shed light on the occupational psyche of crane operators. "Mega Machines: Season of the Crane" and "The Joy of Heavy Lifting" offered invaluable insights into the daily lives and work experiences of individuals operating heavy machinery, including cranes. These programs served as a source of inspiration and a reminder that beyond the numbers and correlations, the world of crane operation is a colorful tapestry of skill, determination, and the occasional lighthearted moment. The intersection between these exploratory television programs and the influence of digital content on occupational trends provides a multifaceted perspective, much like an unexpected plot twist in a reality TV show - a delightful surprise in the realm of statistical research.
In summary, the literature surrounding the influence of MrBeast's video titles on occupational trends offers a rich tapestry of research, ranging from serious empirical studies to lighthearted forays into unexpected correlations and fictional representations. As we delve deeper into this interdisciplinary investigation, it becomes increasingly clear that the unexpected pairing of statistical analysis and whimsical storytelling is as surprising as finding a crane operator moonlighting as a stand-up comedian - a delightful blend of the practical and the lighthearted.

[[RESULTS]]
The statistical analysis unveiled a remarkably strong positive correlation between the provocative nature of MrBeast's YouTube video titles and the employment levels of crane operators in North Carolina. Over the time period from 2012 to 2022, our findings revealed a correlation coefficient of 0.9644742, indicating a robust relationship between these seemingly disparate variables. This correlation was further supported by an r-squared value of 0.9302104, highlighting the substantial influence of MrBeast's video titles on the fluctuation of crane operator employment levels in the state.
The p-value of less than 0.01 bolsters the robustness of this finding, providing compelling evidence for a significant association between MrBeast's video titles and the number of crane operators in North Carolina. It appears that the allure of MrBeast's content is not confined solely to online entertainment but permeates into the occupational choices of individuals, particularly in the realm of crane operation. It's as if the impact of MrBeast's titles has erected a towering influence on the career paths of individuals in North Carolina.
The strong positive correlation is visually depicted in Figure 1, which showcases a scatterplot highlighting the tight relationship between the provocativeness of MrBeast's video titles and the employment levels of crane operators. The figure not only illustrates the statistical significance of our findings but also serves as a visual testament to the unexpected yet compelling association uncovered in this study.
It seems that the influence of online content, particularly that of MrBeast, extends beyond the digital realm and seeps into the fabric of occupational preferences, leaving a "crane-tastic" mark on the employment landscape of North Carolina. Indeed, it appears that when it comes to career choices, MrBeast's titles carry more weight than meets the eye!

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The unexpected correlation identified in this study between the provocative titles of MrBeast's YouTube videos and the employment levels of crane operators in North Carolina has raised eyebrows and piqued curiosity. Our findings support and extend prior research, as we wade into the uncharted waters of the influence of online digital content on occupational trends. It appears that MrBeast's seemingly innocuous titles wield a profound impact, akin to the weighty influence of a fully extended crane arm.

The robust correlation coefficient of 0.9644742 revealed in our analysis aligns with the surprising correlations hinted at by Smith et al. and the whimsical, yet insightful perspective offered by Jones. This unexpected convergence of seemingly disparate realms - cutting-edge digital entertainment and the practical demands of crane operation - underscores the rich tapestry of occupational influences that emanate from online content. It seems that MrBeast's titles unfurl an unexpected allure, much like a crane deftly extending its arm to grasp an unexpectedly titillating payload.

Our study echoes the findings of Smith et al., who hinted at the captivating allure of engaging titles and their potential influence on unconventional career paths. In a similar vein, our investigation sheds light on the hitherto overlooked influence of MrBeast's titles on the labor market, indicating that the impact of online content on occupational choices extends well beyond the boundaries of traditional vocational channels. The unexpected correlations humorously alluded to in our literature review have now been confirmed with statistical rigor. It's as though our study has uncovered the hidden, yet undeniable, comedic whisper within the dry and dusty corridors of statistical significance.

The striking visual representation of the correlation through Figure 1 encapsulates the unexpected and robust relationship between MrBeast's video titles and the employment levels of crane operators. This visual testament not only adds weight to the statistical significance of our findings but also illustrates the visually captivating impact of MrBeast's digital content on the occupational landscape. It's as though the statistical brunt of our findings is propped up by the unspoken, yet visually stunning scaffolding of MrBeast's stimulating video titles.

In conclusion, our study has unveiled the unforeseen influence of MrBeast's YouTube video titles on the labor market, particularly on the employment levels of crane operators in North Carolina. This unexpected correlation serves as a testament to the captivating sway of digital content on occupational preferences, painting a broader portrait of the whimsical yet substantial influences at play within the labor market. It seems that when it comes to choosing a career, the allure of engaging titillation carries more weight than initially thought, much like the unsuspecting might of a crane operator's humor to lift a heavy load.




Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.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 How provocative MrBeast YouTube video titles are and The number of crane operators in North Carolina. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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]]
Crane Game: The Connection Between MrBeast's Video Titles and Crane Operator Counts in North Carolina

[[ABSTRACT]]
In this study, we investigate the unexpected correlation between the provocative titles of popular YouTuber, MrBeast's videos, and the employment levels of crane operators in the state of North Carolina. Utilizing advanced AI analysis of MrBeast's video titles and data from the Bureau of Labor Statistics, we present a statistical analysis dating from 2012 to 2022. Remarkably, our findings reveal a correlation coefficient of 0.9644742 and p < 0.01, suggesting a strong association between the two seemingly unrelated variables. Our research provides insights into the impact of online content on occupational choices, demonstrating the influence of entertaining digital media on the labor market. The implications of this peculiar relationship will not only tickle the funny bone but also crane operators' interest in YouTube titles. After all, a good dad joke makes even the heaviest load a bit lighter!

[[INTRDUCTION]]
The world of online content creation has seen a meteoric rise in recent years, with YouTubers amassing millions of viewers through their engaging videos and catchy titles. At the forefront of this digital revolution is MrBeast, a prominent figure known for his larger-than-life stunts and altruistic giveaways. While the impact of such online personalities on viewership and internet culture has been well-documented, the influence of their content on real-world phenomena, particularly in the realm of occupational choices, has remained largely unexplored. Here we embark on a serious yet light-hearted investigation into the curious association between MrBeast's video titles and the employment levels of crane operators in the state of North Carolina. It's time to crane our necks and see what unexpected connections dangle before us.
Amidst the vast sea of internet content, MrBeast's intriguing video titles have garnered widespread attention, drawing viewers with promises of outlandish challenges, jaw-dropping giveaways, and general "money mayhem." Might there be a whimsical relationship between the allure of these titles and one's aspirations to operate towering cranes in the Tar Heel State? As we crane our necks to examine this unexpected correlation, it's clear that these findings are not merely a load of old tosh.
The state of North Carolina, with its diverse economy and varied terrain, has a substantial demand for skilled crane operators to navigate building sites, infrastructure projects, and more. The Bureau of Labor Statistics data offers a panoramic view of employment levels in this specialized occupation, while advanced AI analysis of MrBeast's video titles provides a keen insight into the provocative nature of his content. It's quite the crane-teaser to consider the role of digital entertainment in real-world occupational trends.
As we embark on this unconventional journey of statistical analysis and data interpretation, it is essential to acknowledge the unexpected humor and levity that this peculiar association brings. After all, what's a statistical analysis without a sprinkle of unexpected correlations and a dash of whimsical wit? Like a crane operator hoisting a hefty load, let's elevate the discussion to new heights and embrace the unexpected with a good dose of statistical scrutiny and a sprinkling of dad jokes. For, in the world of data analysis and occupational trends, a bit of humor can make the heaviest load a little lighter.

[[RESULTS]]
The statistical analysis unveiled a remarkably strong positive correlation between the provocative nature of MrBeast's YouTube video titles and the employment levels of crane operators in North Carolina. Over the time period from 2012 to 2022, our findings revealed a correlation coefficient of 0.9644742, indicating a robust relationship between these seemingly disparate variables. This correlation was further supported by an r-squared value of 0.9302104, highlighting the substantial influence of MrBeast's video titles on the fluctuation of crane operator employment levels in the state.
The p-value of less than 0.01 bolsters the robustness of this finding, providing compelling evidence for a significant association between MrBeast's video titles and the number of crane operators in North Carolina. It appears that the allure of MrBeast's content is not confined solely to online entertainment but permeates into the occupational choices of individuals, particularly in the realm of crane operation. It's as if the impact of MrBeast's titles has erected a towering influence on the career paths of individuals in North Carolina.
The strong positive correlation is visually depicted in Figure 1, which showcases a scatterplot highlighting the tight relationship between the provocativeness of MrBeast's video titles and the employment levels of crane operators. The figure not only illustrates the statistical significance of our findings but also serves as a visual testament to the unexpected yet compelling association uncovered in this study.
It seems that the influence of online content, particularly that of MrBeast, extends beyond the digital realm and seeps into the fabric of occupational preferences, leaving a "crane-tastic" mark on the employment landscape of North Carolina. Indeed, it appears that when it comes to career choices, MrBeast's titles carry more weight than meets the eye!

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our research has yielded compelling evidence of a strong correlation between the provocative nature of MrBeast's YouTube video titles and the number of crane operators in North Carolina. The robust correlation coefficient of 0.9644742 and the remarkably low p-value underscore the substantial influence of online content on the occupational choices of individuals. It seems that MrBeast's titles are not only lifting viewers' spirits but also swaying their career paths, perhaps "crane-fully" steering them towards the world of crane operation. It's quite the "craneundrum," isn't it?

The findings of this study point to the intriguing interplay between online entertainment and real-world occupational trends, demonstrating the unexpected yet undeniable impact of digital media on the labor market. As the late statistician Ronald Fisher once said, "To consult the statistician after an experiment is finished is often merely to ask him to conduct a post mortem examination. He can perhaps say what the experiment died of." While this research has brought to light a fascinating relationship, it seems the mystery of how MrBeast's titles exert such a profound influence on crane operator counts in North Carolina remains, for now, unsolved.

As we reflect on the peculiar connection between YouTube titles and occupational choices, it becomes evident that further research in this area is not only unnecessary but also, dare I say, a bit "crane-azy." It's time to let the data rest, much like a crane operator after a long day's work. After all, when it comes to statistical oddities, sometimes it's best to leave well enough alone and crane-tain a sense of humor in the process!


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 Crane Game: The Connection Between MrBeast's Video Titles and Crane Operator Counts in North Carolina. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Internet Culture and Memetics


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 Crane Game: The Connection Between MrBeast's Video Titles and Crane Operator Counts in North Carolina. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Amusing Research Studies


Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled Crane Game: The Connection Between MrBeast's Video Titles and Crane Operator Counts in North Carolina with an abstract of In this study, we investigate the unexpected correlation between the provocative titles of popular YouTuber, MrBeast's videos, and the employment levels of crane operators in the state of North Carolina. Utilizing advanced AI analysis of MrBeast's video titles and data from the Bureau of Labor Statistics, we present a statistical analysis dating from 2012 to 2022. Remarkably, our findings reveal a correlation coefficient of 0.9644742 and p < 0.01, suggesting a strong association between the two seemingly unrelated variables. Our research provides insights into the impact of online content on occupational choices, demonstrating the influence of entertaining digital media on the labor market. The implications of this peculiar relationship will not only tickle the funny bone but also crane operators' interest in YouTube titles. After all, a good dad joke makes even the heaviest load a bit lighter!

ChatGPT:

MrBeast, YouTube, video titles, crane operators, North Carolina, employment levels, correlation, statistical analysis, advanced AI analysis, data analysis, Bureau of Labor Statistics, labor market, online content, occupational choices, entertainment influence, digital media, correlation coefficient, AI analysis, Bureau of Labor Statistics data

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



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Data details

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

See what else correlates with How provocative MrBeast's YouTube video titles are

The number of crane operators in North Carolina
Detailed data title: BLS estimate of crane and tower operators in North Carolina
Source: Bureau of Larbor Statistics
See what else correlates with The number of crane operators in North Carolina

Correlation r = 0.9644742 (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 = 0.9302104 (Coefficient of determination)
This means 93% of the change in the one variable (i.e., The number of crane operators in North Carolina) is predictable based on the change in the other (i.e., How provocative MrBeast's YouTube video titles are) over the 11 years from 2012 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.7E-6. 0.0000016696468765491455000000
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 0.96 in 0.00017% of random cases. Said differently, if you correlated 598,929 random variables You don't actually need 598 thousand 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.

[ 0.87, 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
How provocative MrBeast's YouTube video titles are (Provacative score)5.54.17864.41434.34124.65175.11765.8785.68665.81586.15386.5263
The number of crane operators in North Carolina (Laborers)9106106906606607509309709609801000




Why this works

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




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([5.5,4.1786,4.4143,4.3412,4.6517,5.1176,5.878,5.6866,5.8158,6.1538,6.5263,])
array_2 = np.array([910,610,690,660,660,750,930,970,960,980,1000,])
array_1_name = "How provocative MrBeast's YouTube video titles are"
array_2_name = "The number of crane operators in North Carolina"

# 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: 4576 · Black Variable ID: 25747 · Red Variable ID: 12548
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