Download png, svg
AI explanation
As the demand for pipelines rose in Wisconsin, so too did the need for comprehensive training videos. This led to an influx of pipelayers creating their own YouTube tutorials, resulting in longer Deep Look videos overall. Remember, the key to laying pipes efficiently is taking things one segment at a time!Model: dalle-3
Prompt: Generate an image of a futuristic data cyber art representation where a group of pipelayers are working together in a dynamic and bustling workshop in Wisconsin. Each pipelayer is focused on their designated segment, and the scene is infused with futuristic technological elements. In the background, a large screen displays an ongoing Deep Look YouTube video, showing the intricate details of pipe laying techniques in a visually captivating and futuristic way. The video is noticeably longer than usual, reflecting the comprehensive training resources being created by the pipelayers themselves. The workshop should feel alive with motion, energy, and a sense of collaboration, all portrayed in a futuristic and mesmerizing cyber art style. 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: The number of pipelayers in Wisconsin and Total length of Deep Look YouTube videos. Given these, which of the following image style descriptions seems most appropriate? Pick the one that seems to be related to one of the variables at hand. Please respond with only one of the following potential descriptions: Realistic High-tech a funny image macro Data cyber art Art nouveau
ChatGPT: Data cyber art
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 The number of pipelayers in Wisconsin and Total length of Deep Look YouTube videos, in the following situation: As the demand for pipelines rose in Wisconsin, so too did the need for comprehensive training videos. This led to an influx of pipelayers creating their own YouTube tutorials, resulting in longer Deep Look videos overall. Remember, the key to laying pipes efficiently is taking things one segment at a time!. Keep the description simple.
ChatGPT: In a bustling workshop in Wisconsin, several pipelayers can be seen working together to lay down pipes, each focused on their designated segment. In the background, a large screen displays an ongoing Deep Look YouTube video, showing the intricate details of pipe laying techniques. The video is noticeably longer than usual, reflecting the comprehensive training resources being created by the pipelayers themselves.
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: [ Data cyber art ] and depicting this scene: In a bustling workshop in Wisconsin, several pipelayers can be seen working together to lay down pipes, each focused on their designated segment. In the background, a large screen displays an ongoing Deep Look YouTube video, showing the intricate details of pipe laying techniques. The video is noticeably longer than usual, reflecting the comprehensive training resources being created by the pipelayers themselves. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a futuristic data cyber art representation where a group of pipelayers are working together in a dynamic and bustling workshop in Wisconsin. Each pipelayer is focused on their designated segment, and the scene is infused with futuristic technological elements. In the background, a large screen displays an ongoing Deep Look YouTube video, showing the intricate details of pipe laying techniques in a visually captivating and futuristic way. The video is noticeably longer than usual, reflecting the comprehensive training resources being created by the pipelayers themselves. The workshop should feel alive with motion, energy, and a sense of collaboration, all portrayed in a futuristic and mesmerizing cyber art style.
*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.
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 The number of pipelayers in Wisconsin caused Total length of Deep Look YouTube videos to increase.\Make it sound serious until the end.
AI academic paper
Pipeline Plethora and Deep Look Drama: An Intriguing Correlation Journal of Subterranean Studies Jan 2024 Reminder: This paper is AI-generated. Not real! |
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 The number of pipelayers in Wisconsin and Total length of Deep Look YouTube videos. 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 Bureau of Larbor Statistics and YouTube to assess this nagging question. You found a correlation coefficient of 0.9851324 and p < 0.01 for 2014 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]]
"Pipeline Plethora and Deep Look Drama: An Intriguing Correlation"
[[ABSTRACT]]
This study explores the curious link between the number of pipelayers in Wisconsin and the total length of Deep Look YouTube videos. Utilizing data from the Bureau of Labor Statistics and YouTube, we endeavored to unravel this enigmatic relationship, which has baffled both the scientific and dad joke communities for years. Our findings revealed a striking correlation coefficient of 0.9851324 and a p-value of less than 0.01 for the years 2014 to 2022, indicating a statistically significant association that elicits both astonishment and chuckles.
In a surprising twist, we discovered that as the number of pipelayers in Wisconsin increased, the total length of Deep Look videos also exhibited a corresponding rise. This correlation appears to defy conventional logic and prompts ponderings about the interconnectedness of seemingly disparate phenomena – a notion that leaves one both scratching their head and nodding in amusement, much like a perplexing dad joke. Our research contributes to a deeper understanding of the obscure interplay between labor activities and online educational content, offering a lighthearted yet thought-provoking perspective that is sure to resonate with both academia and the humor-inclined.
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 The number of pipelayers in Wisconsin and Total length of Deep Look YouTube videos. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Here is the title and abstract of the paper:
[[TITLE]]
"Pipeline Plethora and Deep Look Drama: An Intriguing Correlation"
[[ABSTRACT]]
This study explores the curious link between the number of pipelayers in Wisconsin and the total length of Deep Look YouTube videos. Utilizing data from the Bureau of Labor Statistics and YouTube, we endeavored to unravel this enigmatic relationship, which has baffled both the scientific and dad joke communities for years. Our findings revealed a striking correlation coefficient of 0.9851324 and a p-value of less than 0.01 for the years 2014 to 2022, indicating a statistically significant association that elicits both astonishment and chuckles.
In a surprising twist, we discovered that as the number of pipelayers in Wisconsin increased, the total length of Deep Look videos also exhibited a corresponding rise. This correlation appears to defy conventional logic and prompts ponderings about the interconnectedness of seemingly disparate phenomena – a notion that leaves one both scratching their head and nodding in amusement, much like a perplexing dad joke. Our research contributes to a deeper understanding of the obscure interplay between labor activities and online educational content, offering a lighthearted yet thought-provoking perspective that is sure to resonate with both academia and the humor-inclined.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
The connection between labor statistics and online video content has long been a topic of curiosity and amusement. In this paper, we delve into the unlikely correlation between the number of pipelayers in Wisconsin and the total length of Deep Look YouTube videos. It's the kind of relationship that, much like a well-crafted dad joke, raises eyebrows and sparks lively debate.
"Why did the pipelayer watch Deep Look videos? Because they found them to be 'pipe'-rifically insightful!" This lighthearted investigation into an unexpected relationship offers a refreshing change of pace from the seriousness of traditional research topics.
Gathering data from the Bureau of Labor Statistics and YouTube, we set out to uncover any threads that might connect the labor market in Wisconsin to the captivating world of online educational content. It's a quest that could easily get lost in the pipeline of research, but we're determined to dig deep and unearth any surprising findings that might just "pipe" our curiosity.
As we probed the numbers, we stumbled upon a revelation that brought both scientific excitement and a rush of dad-joke glee. Our analysis revealed a remarkable correlation coefficient of 0.9851324, leaving us pleasantly surprised and perhaps a bit "piped" up with anticipation. It's the kind of statistical result that makes one appreciate the unexpected joys of research – much like stumbling upon a truly well-timed dad joke.
The compelling p-value of less than 0.01 for the years 2014 to 2022 further solidified our discovery, affirming that the link between pipelayers and Deep Look videos is not a mere statistical fluke, but a robust and intriguing connection worthy of scholarly attention. It's the sort of revelation that prompts one to pause and marvel, much like a brilliantly-timed dad joke that leaves you nodding in appreciation for its cleverness.
So what exactly is the nature of this peculiar correlation? How can the labor activities of Wisconsin and the captivating Deep Look videos possibly be intertwined? It's a conundrum that invites a hearty chuckle and a moment of reflection, akin to the enjoyment of a well-crafted dad joke that invites both amusement and contemplation.
In the pages that follow, we will unravel the mystery and present our evidence, offering a perspective that combines scholarly rigor with just a dash of levity. As we embark on this intriguing journey, we invite fellow researchers and enthusiasts of playful ponderings to join us in exploring this captivating correlation. After all, what's a research paper without a few unexpected twists and turns, much like a cleverly inserted dad joke that leaves you pleasantly surprised?
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 The number of pipelayers in Wisconsin and Total length of Deep Look YouTube videos. 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]]
"Pipeline Plethora and Deep Look Drama: An Intriguing Correlation"
[[ABSTRACT]]
This study explores the curious link between the number of pipelayers in Wisconsin and the total length of Deep Look YouTube videos. Utilizing data from the Bureau of Labor Statistics and YouTube, we endeavored to unravel this enigmatic relationship, which has baffled both the scientific and dad joke communities for years. Our findings revealed a striking correlation coefficient of 0.9851324 and a p-value of less than 0.01 for the years 2014 to 2022, indicating a statistically significant association that elicits both astonishment and chuckles.
In a surprising twist, we discovered that as the number of pipelayers in Wisconsin increased, the total length of Deep Look videos also exhibited a corresponding rise. This correlation appears to defy conventional logic and prompts ponderings about the interconnectedness of seemingly disparate phenomena – a notion that leaves one both scratching their head and nodding in amusement, much like a perplexing dad joke. Our research contributes to a deeper understanding of the obscure interplay between labor activities and online educational content, offering a lighthearted yet thought-provoking perspective that is sure to resonate with both academia and the humor-inclined.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The connection between labor statistics and online video content has long been a topic of curiosity and amusement. In this paper, we delve into the unlikely correlation between the number of pipelayers in Wisconsin and the total length of Deep Look YouTube videos. It's the kind of relationship that, much like a well-crafted dad joke, raises eyebrows and sparks lively debate.
"Why did the pipelayer watch Deep Look videos? Because they found them to be 'pipe'-rifically insightful!" This lighthearted investigation into an unexpected relationship offers a refreshing change of pace from the seriousness of traditional research topics.
Gathering data from the Bureau of Labor Statistics and YouTube, we set out to uncover any threads that might connect the labor market in Wisconsin to the captivating world of online educational content. It's a quest that could easily get lost in the pipeline of research, but we're determined to dig deep and unearth any surprising findings that might just "pipe" our curiosity.
As we probed the numbers, we stumbled upon a revelation that brought both scientific excitement and a rush of dad-joke glee. Our analysis revealed a remarkable correlation coefficient of 0.9851324, leaving us pleasantly surprised and perhaps a bit "piped" up with anticipation. It's the kind of statistical result that makes one appreciate the unexpected joys of research – much like stumbling upon a truly well-timed dad joke.
The compelling p-value of less than 0.01 for the years 2014 to 2022 further solidified our discovery, affirming that the link between pipelayers and Deep Look videos is not a mere statistical fluke, but a robust and intriguing connection worthy of scholarly attention. It's the sort of revelation that prompts one to pause and marvel, much like a brilliantly-timed dad joke that leaves you nodding in appreciation for its cleverness.
So what exactly is the nature of this peculiar correlation? How can the labor activities of Wisconsin and the captivating Deep Look videos possibly be intertwined? It's a conundrum that invites a hearty chuckle and a moment of reflection, akin to the enjoyment of a well-crafted dad joke that invites both amusement and contemplation.
In the pages that follow, we will unravel the mystery and present our evidence, offering a perspective that combines scholarly rigor with just a dash of levity. As we embark on this intriguing journey, we invite fellow researchers and enthusiasts of playful ponderings to join us in exploring this captivating correlation. After all, what's a research paper without a few unexpected twists and turns, much like a cleverly inserted dad joke that leaves you pleasantly surprised?
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
The remarkable correlation between the number of pipelayers in Wisconsin and the total length of Deep Look YouTube videos has evoked considerable interest and intrigue within the research community. Smith, in their seminal work "Labor Dynamics and Occupational Trends," delved into the labor market fluctuations in various states, including Wisconsin, yet failed to anticipate the peculiar link with captivating online educational content. Doe, on the other hand, in "Online Video Consumption Patterns," meticulously analyzed viewership trends but overlooked the unexpected relationship that we are poised to unravel.
But let's not "pipe down" just yet, as our exploration takes an amusing turn towards the unexpected. In "The Pipelayers' Paradox," Jones offers a riveting discourse on the historical evolution of pipelaying techniques, uncovering hidden quirks and humorous anecdotes that add a touch of whimsy to an otherwise conventional subject matter.
Now, as we delve even deeper, we encounter books that offer fictional yet intriguing insights into pipelaying and captivating online content: "The Pipelayer's Enigma" by A. Nonymous and "Deep Mysteries: A Look into the Unknown" by P. Seudo. While these titles may not offer empirical evidence, they certainly stimulate the imagination and elicit a chuckle or two, much like a well-timed dad joke during a statistical analysis.
To further inform our inquiry, we turn to television shows that may shed light on our enigmatic correlation. As such, "Pipe Dreams: A Reality Show in the World of Pipelaying" and "Deep Explorations: Unveiling the Wonders of Nature" present fictional yet inspiring narratives that, in the vein of our investigation, blur the boundaries between labor activities and educational content.
In the spirit of thorough research, we also confess to having indulged in a few delightful episodes of "Pipes and Wonders," a documentary series that unexpectedly intertwines the intricate processes of pipelaying with the mesmerizing world of scientific exploration. Much like the unexpected twists in our correlation, these television programs blend serious subject matter with moments of levity, offering a well-rounded perspective that aligns with our own approach – the academic with a dash of dad-joke humor.
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 The number of pipelayers in Wisconsin and Total length of Deep Look YouTube videos. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Your research team collected data from all across the internet, but mostly just used information from Bureau of Larbor Statistics and YouTube . You used data from 2014 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]]
"Pipeline Plethora and Deep Look Drama: An Intriguing Correlation"
[[ABSTRACT]]
This study explores the curious link between the number of pipelayers in Wisconsin and the total length of Deep Look YouTube videos. Utilizing data from the Bureau of Labor Statistics and YouTube, we endeavored to unravel this enigmatic relationship, which has baffled both the scientific and dad joke communities for years. Our findings revealed a striking correlation coefficient of 0.9851324 and a p-value of less than 0.01 for the years 2014 to 2022, indicating a statistically significant association that elicits both astonishment and chuckles.
In a surprising twist, we discovered that as the number of pipelayers in Wisconsin increased, the total length of Deep Look videos also exhibited a corresponding rise. This correlation appears to defy conventional logic and prompts ponderings about the interconnectedness of seemingly disparate phenomena – a notion that leaves one both scratching their head and nodding in amusement, much like a perplexing dad joke. Our research contributes to a deeper understanding of the obscure interplay between labor activities and online educational content, offering a lighthearted yet thought-provoking perspective that is sure to resonate with both academia and the humor-inclined.
[[INTRODUCTION]]
The connection between labor statistics and online video content has long been a topic of curiosity and amusement. In this paper, we delve into the unlikely correlation between the number of pipelayers in Wisconsin and the total length of Deep Look YouTube videos. It's the kind of relationship that, much like a well-crafted dad joke, raises eyebrows and sparks lively debate.
"Why did the pipelayer watch Deep Look videos? Because they found them to be 'pipe'-rifically insightful!" This lighthearted investigation into an unexpected relationship offers a refreshing change of pace from the seriousness of traditional research topics.
Gathering data from the Bureau of Labor Statistics and YouTube, we set out to uncover any threads that might connect the labor market in Wisconsin to the captivating world of online educational content. It's a quest that could easily get lost in the pipeline of research, but we're determined to dig deep and unearth any surprising findings that might just "pipe" our curiosity.
As we probed the numbers, we stumbled upon a revelation that brought both scientific excitement and a rush of dad-joke glee. Our analysis revealed a remarkable correlation coefficient of 0.9851324, leaving us pleasantly surprised and perhaps a bit "piped" up with anticipation. It's the kind of statistical result that makes one appreciate the unexpected joys of research – much like stumbling upon a truly well-timed dad joke.
The compelling p-value of less than 0.01 for the years 2014 to 2022 further solidified our discovery, affirming that the link between pipelayers and Deep Look videos is not a mere statistical fluke, but a robust and intriguing connection worthy of scholarly attention. It's the sort of revelation that prompts one to pause and marvel, much like a brilliantly-timed dad joke that leaves you nodding in appreciation for its cleverness.
So what exactly is the nature of this peculiar correlation? How can the labor activities of Wisconsin and the captivating Deep Look videos possibly be intertwined? It's a conundrum that invites a hearty chuckle and a moment of reflection, akin to the enjoyment of a well-crafted dad joke that invites both amusement and contemplation.
In the pages that follow, we will unravel the mystery and present our evidence, offering a perspective that combines scholarly rigor with just a dash of levity. As we embark on this intriguing journey, we invite fellow researchers and enthusiasts of playful ponderings to join us in exploring this captivating correlation. After all, what's a research paper without a few unexpected twists and turns, much like a cleverly inserted dad joke that leaves you pleasantly surprised?
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To investigate the connection between the number of pipelayers in Wisconsin and the total length of Deep Look YouTube videos, we employed a multifaceted approach that combined data analysis, statistical modeling, and a healthy dose of whimsy. Our research team scoured the depths of the internet, traversing the digital pipelines of the Bureau of Labor Statistics and YouTube to gather data spanning the years 2014 to 2022. As we embarked on this captivating journey of discovery, we couldn't help but ponder: "Why did the pipelayer always have the latest Deep Look video bookmarked? Because they were eager to 'pipe' into the world of fascinating facts!"
We leveraged the Bureau of Labor Statistics' rich repository of labor market data to obtain detailed information on the number of pipelayers in Wisconsin, employing a combination of official reports, surveys, and perhaps a bit of creative visualization akin to an engaging chart-topping dad joke. The YouTube platform, with its wealth of captivating educational content, provided us with the total length of Deep Look videos, uncovering intriguing patterns that left us marveling at the unexpected twists of our research, like a well-timed dad joke that catches one pleasantly off-guard.
Our data analysis procedures included rigorous statistical measures, such as correlation and regression analyses, designed to unravel the complex interplay between pipelayers and Deep Look videos with a blend of scientific rigor and jocular curiosity. As we delved into the numerical depths, we were reminded of the timeless question: "Why did the pipelayer excel at statistical analysis? Because they always managed to 'pipe' into significant findings!"
Utilizing advanced modeling techniques, we sought to elucidate the underlying mechanisms driving the observed correlation, employing compelling visualizations and a sense of humor that mirrored a cleverly crafted dad joke. Through this methodologically robust yet lighthearted approach, we aimed to offer a fresh perspective on the enigmatic relationship between labor activities and online educational content, much like the unexpected joy derived from stumbling upon a well-phrased dad joke that inspires both laughter and reflection.
Our comprehensive analysis culminated in the determination of a striking correlation coefficient of 0.9851324 and a p-value of less than 0.01, solidifying the significance of the association. This statistical revelation prompted us to marvel at the serendipitous nature of research findings and the potential for unexpected connections, reminiscent of stumbling upon a perfectly timed dad joke that leaves one both amused and intrigued.
In summary, our methodology encompassed a spirited exploration of data sources, statistical analyses infused with levity, and an unwavering commitment to unraveling the captivating correlation between pipelayers in Wisconsin and Deep Look videos. It's a journey that exemplifies the harmonious blend of scholarly rigor and playful curiosity, much like the joy derived from a witty dad joke that leaves one both intellectually engaged and delightfully entertained.
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 The number of pipelayers in Wisconsin and Total length of Deep Look YouTube videos. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Your research team collected data from all across the internet, but mostly just used information from Bureau of Larbor Statistics and YouTube .
For the time period 2014 to 2022, you found a correlation 0.9851324, r-squared of 0.9704858, 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]]
"Pipeline Plethora and Deep Look Drama: An Intriguing Correlation"
[[ABSTRACT]]
This study explores the curious link between the number of pipelayers in Wisconsin and the total length of Deep Look YouTube videos. Utilizing data from the Bureau of Labor Statistics and YouTube, we endeavored to unravel this enigmatic relationship, which has baffled both the scientific and dad joke communities for years. Our findings revealed a striking correlation coefficient of 0.9851324 and a p-value of less than 0.01 for the years 2014 to 2022, indicating a statistically significant association that elicits both astonishment and chuckles.
In a surprising twist, we discovered that as the number of pipelayers in Wisconsin increased, the total length of Deep Look videos also exhibited a corresponding rise. This correlation appears to defy conventional logic and prompts ponderings about the interconnectedness of seemingly disparate phenomena – a notion that leaves one both scratching their head and nodding in amusement, much like a perplexing dad joke. Our research contributes to a deeper understanding of the obscure interplay between labor activities and online educational content, offering a lighthearted yet thought-provoking perspective that is sure to resonate with both academia and the humor-inclined.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
The connection between labor statistics and online video content has long been a topic of curiosity and amusement. In this paper, we delve into the unlikely correlation between the number of pipelayers in Wisconsin and the total length of Deep Look YouTube videos. It's the kind of relationship that, much like a well-crafted dad joke, raises eyebrows and sparks lively debate.
"Why did the pipelayer watch Deep Look videos? Because they found them to be 'pipe'-rifically insightful!" This lighthearted investigation into an unexpected relationship offers a refreshing change of pace from the seriousness of traditional research topics.
Gathering data from the Bureau of Labor Statistics and YouTube, we set out to uncover any threads that might connect the labor market in Wisconsin to the captivating world of online educational content. It's a quest that could easily get lost in the pipeline of research, but we're determined to dig deep and unearth any surprising findings that might just "pipe" our curiosity.
As we probed the numbers, we stumbled upon a revelation that brought both scientific excitement and a rush of dad-joke glee. Our analysis revealed a remarkable correlation coefficient of 0.9851324, leaving us pleasantly surprised and perhaps a bit "piped" up with anticipation. It's the kind of statistical result that makes one appreciate the unexpected joys of research – much like stumbling upon a truly well-timed dad joke.
The compelling p-value of less than 0.01 for the years 2014 to 2022 further solidified our discovery, affirming that the link between pipelayers and Deep Look videos is not a mere statistical fluke, but a robust and intriguing connection worthy of scholarly attention. It's the sort of revelation that prompts one to pause and marvel, much like a brilliantly-timed dad joke that leaves you nodding in appreciation for its cleverness.
So what exactly is the nature of this peculiar correlation? How can the labor activities of Wisconsin and the captivating Deep Look videos possibly be intertwined? It's a conundrum that invites a hearty chuckle and a moment of reflection, akin to the enjoyment of a well-crafted dad joke that invites both amusement and contemplation.
In the pages that follow, we will unravel the mystery and present our evidence, offering a perspective that combines scholarly rigor with just a dash of levity. As we embark on this intriguing journey, we invite fellow researchers and enthusiasts of playful ponderings to join us in exploring this captivating correlation. After all, what's a research paper without a few unexpected twists and turns, much like a cleverly inserted dad joke that leaves you pleasantly surprised?
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
In examining the relationship between the number of pipelayers in Wisconsin and the total length of Deep Look YouTube videos, we uncovered a correlation coefficient of 0.9851324, indicating a remarkably strong positive association between these seemingly unrelated phenomena. It's as surprising as finding a pipe organ in a submarine – an unexpected correlation that piques both scientific interest and humorous musings.
Our analysis also revealed an r-squared value of 0.9704858, suggesting that approximately 97% of the variability in the total length of Deep Look videos can be explained by the number of pipelayers in Wisconsin. This result is quite remarkable and prompts one to ponder the mysterious ways in which labor activities and online video content intertwine, much like a dad joke that catches you off guard just when you thought the conversation was heading in a serious direction.
The p-value of less than 0.01 further solidified the statistical significance of this correlation, affirming that the likelihood of the observed relationship occurring by chance is exceedingly low. It's a statistical finding that's as reliable as a trusty pipeline laying the foundation for an unexpected punchline in a dad joke.
Fig. 1 depicts a scatterplot illustrating the strong positive correlation between the number of pipelayers in Wisconsin and the total length of Deep Look YouTube videos. The data points cluster tightly around a positively sloped linear trend line, demonstrating the compelling connection between these two variables. It's as visually striking as a well-crafted dad joke that brings a smile to your face when you least expect it.
In summary, our findings provide compelling evidence of a surprising association between labor activities in Wisconsin and the production of educational content on YouTube. This unexpected correlation invites contemplation and chuckles in equal measure, much like a cleverly constructed dad joke that leaves you both impressed and amused. These results spur further inquiry into the intricate interplay of seemingly disparate phenomena, reminding us that in the world of research, just like in the world of humor, the unexpected can often lead to the most intriguing and enlightening discoveries.
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 The number of pipelayers in Wisconsin and Total length of Deep Look YouTube videos. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
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]]
"Pipeline Plethora and Deep Look Drama: An Intriguing Correlation"
[[ABSTRACT]]
This study explores the curious link between the number of pipelayers in Wisconsin and the total length of Deep Look YouTube videos. Utilizing data from the Bureau of Labor Statistics and YouTube, we endeavored to unravel this enigmatic relationship, which has baffled both the scientific and dad joke communities for years. Our findings revealed a striking correlation coefficient of 0.9851324 and a p-value of less than 0.01 for the years 2014 to 2022, indicating a statistically significant association that elicits both astonishment and chuckles.
In a surprising twist, we discovered that as the number of pipelayers in Wisconsin increased, the total length of Deep Look videos also exhibited a corresponding rise. This correlation appears to defy conventional logic and prompts ponderings about the interconnectedness of seemingly disparate phenomena – a notion that leaves one both scratching their head and nodding in amusement, much like a perplexing dad joke. Our research contributes to a deeper understanding of the obscure interplay between labor activities and online educational content, offering a lighthearted yet thought-provoking perspective that is sure to resonate with both academia and the humor-inclined.
[[LITERATURE REVIEW]]
The remarkable correlation between the number of pipelayers in Wisconsin and the total length of Deep Look YouTube videos has evoked considerable interest and intrigue within the research community. Smith, in their seminal work "Labor Dynamics and Occupational Trends," delved into the labor market fluctuations in various states, including Wisconsin, yet failed to anticipate the peculiar link with captivating online educational content. Doe, on the other hand, in "Online Video Consumption Patterns," meticulously analyzed viewership trends but overlooked the unexpected relationship that we are poised to unravel.
But let's not "pipe down" just yet, as our exploration takes an amusing turn towards the unexpected. In "The Pipelayers' Paradox," Jones offers a riveting discourse on the historical evolution of pipelaying techniques, uncovering hidden quirks and humorous anecdotes that add a touch of whimsy to an otherwise conventional subject matter.
Now, as we delve even deeper, we encounter books that offer fictional yet intriguing insights into pipelaying and captivating online content: "The Pipelayer's Enigma" by A. Nonymous and "Deep Mysteries: A Look into the Unknown" by P. Seudo. While these titles may not offer empirical evidence, they certainly stimulate the imagination and elicit a chuckle or two, much like a well-timed dad joke during a statistical analysis.
To further inform our inquiry, we turn to television shows that may shed light on our enigmatic correlation. As such, "Pipe Dreams: A Reality Show in the World of Pipelaying" and "Deep Explorations: Unveiling the Wonders of Nature" present fictional yet inspiring narratives that, in the vein of our investigation, blur the boundaries between labor activities and educational content.
In the spirit of thorough research, we also confess to having indulged in a few delightful episodes of "Pipes and Wonders," a documentary series that unexpectedly intertwines the intricate processes of pipelaying with the mesmerizing world of scientific exploration. Much like the unexpected twists in our correlation, these television programs blend serious subject matter with moments of levity, offering a well-rounded perspective that aligns with our own approach – the academic with a dash of dad-joke humor.
[[RESULTS]]
In examining the relationship between the number of pipelayers in Wisconsin and the total length of Deep Look YouTube videos, we uncovered a correlation coefficient of 0.9851324, indicating a remarkably strong positive association between these seemingly unrelated phenomena. It's as surprising as finding a pipe organ in a submarine – an unexpected correlation that piques both scientific interest and humorous musings.
Our analysis also revealed an r-squared value of 0.9704858, suggesting that approximately 97% of the variability in the total length of Deep Look videos can be explained by the number of pipelayers in Wisconsin. This result is quite remarkable and prompts one to ponder the mysterious ways in which labor activities and online video content intertwine, much like a dad joke that catches you off guard just when you thought the conversation was heading in a serious direction.
The p-value of less than 0.01 further solidified the statistical significance of this correlation, affirming that the likelihood of the observed relationship occurring by chance is exceedingly low. It's a statistical finding that's as reliable as a trusty pipeline laying the foundation for an unexpected punchline in a dad joke.
Fig. 1 depicts a scatterplot illustrating the strong positive correlation between the number of pipelayers in Wisconsin and the total length of Deep Look YouTube videos. The data points cluster tightly around a positively sloped linear trend line, demonstrating the compelling connection between these two variables. It's as visually striking as a well-crafted dad joke that brings a smile to your face when you least expect it.
In summary, our findings provide compelling evidence of a surprising association between labor activities in Wisconsin and the production of educational content on YouTube. This unexpected correlation invites contemplation and chuckles in equal measure, much like a cleverly constructed dad joke that leaves you both impressed and amused. These results spur further inquiry into the intricate interplay of seemingly disparate phenomena, reminding us that in the world of research, just like in the world of humor, the unexpected can often lead to the most intriguing and enlightening discoveries.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
Our study has unveiled an astonishing correlation between the number of pipelayers in Wisconsin and the total length of Deep Look YouTube videos, shedding light on an unexpected relationship that elicits both scholarly interest and wry grins. The robust correlation coefficient of 0.9851324 and the strikingly low p-value emphasize the statistical significance of this association, prompting one to marvel at the seemingly improbable connection, much like a dad joke that catches you off guard in the midst of a serious conversation.
In support of prior research, our findings corroborate the work of Smith, who explored labor market fluctuations but overlooked the fortuitous intertwining of pipe-related activities with captivating online educational content. Additionally, our results serve to affirm the unexpected correlations alluded to in "The Pipelayers' Paradox" by Jones. The historical insights into pipelaying techniques take on a newfound relevance as we uncover the curious link between this labor activity and the production of captivating Deep Look videos, much like stumbling upon an unexpected punchline in the midst of a scholarly discussion.
The remarkable alignment of our results with prior research not only underscores the validity of this intriguing correlation but also serves as a testament to the serendipitous and oftentimes humorous nature of academic inquiry. It's as if, in the pursuit of knowledge, we stumble upon the elusive "perfect" dad joke – a touch of mirth in the midst of scholarly pursuits that prompts both intellectual reflection and lighthearted amusement.
Our statistical analysis has yielded intriguing insights, akin to the surprising twists in narrative that we encountered in television shows such as "Pipe Dreams: A Reality Show in the World of Pipelaying." Contrary to traditional expectations, we have unearthed a connection between labor activities and educational content that strikes a chord with both the scientific and humor-inclined minds. It's as unexpected as a burst of laughter in an unlikely setting – a reminder that the quirks of academic research often mirror the delightful unpredictability of dad jokes.
In the spirit of scholarly rigor, we acknowledge the unorthodox nature of our findings and embrace the delightful serendipity that characterizes this intriguing correlation. Our research not only contributes to the broader understanding of labor activities and online educational content but also injects a touch of whimsy into the scientific discourse, much like a well-timed dad joke that lightens the mood without compromising the intellectual depth of the conversation.
In summary, our investigation into the relationship between the number of pipelayers in Wisconsin and the total length of Deep Look YouTube videos has yielded a novel perspective that invites both scholarly contemplation and a chuckle or two. Our results not only align with prior research but also emphasize that within the realm of academia, as in the world of humor, unexpected connections and delightful surprises often form the bedrock of insightful discoveries.
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 The number of pipelayers in Wisconsin and Total length of Deep Look YouTube videos. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
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]]
"Pipeline Plethora and Deep Look Drama: An Intriguing Correlation"
[[ABSTRACT]]
This study explores the curious link between the number of pipelayers in Wisconsin and the total length of Deep Look YouTube videos. Utilizing data from the Bureau of Labor Statistics and YouTube, we endeavored to unravel this enigmatic relationship, which has baffled both the scientific and dad joke communities for years. Our findings revealed a striking correlation coefficient of 0.9851324 and a p-value of less than 0.01 for the years 2014 to 2022, indicating a statistically significant association that elicits both astonishment and chuckles.
In a surprising twist, we discovered that as the number of pipelayers in Wisconsin increased, the total length of Deep Look videos also exhibited a corresponding rise. This correlation appears to defy conventional logic and prompts ponderings about the interconnectedness of seemingly disparate phenomena – a notion that leaves one both scratching their head and nodding in amusement, much like a perplexing dad joke. Our research contributes to a deeper understanding of the obscure interplay between labor activities and online educational content, offering a lighthearted yet thought-provoking perspective that is sure to resonate with both academia and the humor-inclined.
[[INTRDUCTION]]
The connection between labor statistics and online video content has long been a topic of curiosity and amusement. In this paper, we delve into the unlikely correlation between the number of pipelayers in Wisconsin and the total length of Deep Look YouTube videos. It's the kind of relationship that, much like a well-crafted dad joke, raises eyebrows and sparks lively debate.
"Why did the pipelayer watch Deep Look videos? Because they found them to be 'pipe'-rifically insightful!" This lighthearted investigation into an unexpected relationship offers a refreshing change of pace from the seriousness of traditional research topics.
Gathering data from the Bureau of Labor Statistics and YouTube, we set out to uncover any threads that might connect the labor market in Wisconsin to the captivating world of online educational content. It's a quest that could easily get lost in the pipeline of research, but we're determined to dig deep and unearth any surprising findings that might just "pipe" our curiosity.
As we probed the numbers, we stumbled upon a revelation that brought both scientific excitement and a rush of dad-joke glee. Our analysis revealed a remarkable correlation coefficient of 0.9851324, leaving us pleasantly surprised and perhaps a bit "piped" up with anticipation. It's the kind of statistical result that makes one appreciate the unexpected joys of research – much like stumbling upon a truly well-timed dad joke.
The compelling p-value of less than 0.01 for the years 2014 to 2022 further solidified our discovery, affirming that the link between pipelayers and Deep Look videos is not a mere statistical fluke, but a robust and intriguing connection worthy of scholarly attention. It's the sort of revelation that prompts one to pause and marvel, much like a brilliantly-timed dad joke that leaves you nodding in appreciation for its cleverness.
So what exactly is the nature of this peculiar correlation? How can the labor activities of Wisconsin and the captivating Deep Look videos possibly be intertwined? It's a conundrum that invites a hearty chuckle and a moment of reflection, akin to the enjoyment of a well-crafted dad joke that invites both amusement and contemplation.
In the pages that follow, we will unravel the mystery and present our evidence, offering a perspective that combines scholarly rigor with just a dash of levity. As we embark on this intriguing journey, we invite fellow researchers and enthusiasts of playful ponderings to join us in exploring this captivating correlation. After all, what's a research paper without a few unexpected twists and turns, much like a cleverly inserted dad joke that leaves you pleasantly surprised?
[[RESULTS]]
In examining the relationship between the number of pipelayers in Wisconsin and the total length of Deep Look YouTube videos, we uncovered a correlation coefficient of 0.9851324, indicating a remarkably strong positive association between these seemingly unrelated phenomena. It's as surprising as finding a pipe organ in a submarine – an unexpected correlation that piques both scientific interest and humorous musings.
Our analysis also revealed an r-squared value of 0.9704858, suggesting that approximately 97% of the variability in the total length of Deep Look videos can be explained by the number of pipelayers in Wisconsin. This result is quite remarkable and prompts one to ponder the mysterious ways in which labor activities and online video content intertwine, much like a dad joke that catches you off guard just when you thought the conversation was heading in a serious direction.
The p-value of less than 0.01 further solidified the statistical significance of this correlation, affirming that the likelihood of the observed relationship occurring by chance is exceedingly low. It's a statistical finding that's as reliable as a trusty pipeline laying the foundation for an unexpected punchline in a dad joke.
Fig. 1 depicts a scatterplot illustrating the strong positive correlation between the number of pipelayers in Wisconsin and the total length of Deep Look YouTube videos. The data points cluster tightly around a positively sloped linear trend line, demonstrating the compelling connection between these two variables. It's as visually striking as a well-crafted dad joke that brings a smile to your face when you least expect it.
In summary, our findings provide compelling evidence of a surprising association between labor activities in Wisconsin and the production of educational content on YouTube. This unexpected correlation invites contemplation and chuckles in equal measure, much like a cleverly constructed dad joke that leaves you both impressed and amused. These results spur further inquiry into the intricate interplay of seemingly disparate phenomena, reminding us that in the world of research, just like in the world of humor, the unexpected can often lead to the most intriguing and enlightening discoveries.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, our investigation into the unlikely correlation between the number of pipelayers in Wisconsin and the total length of Deep Look YouTube videos has yielded remarkably compelling results, much like a well-timed dad joke that catches you pleasantly off guard. Our findings robustly support a striking correlation coefficient of 0.9851324, indicating a strong positive association that's as unexpected as finding a plumber's wrench in a magician's hat.
The r-squared value of 0.9704858 further underscores the substantial impact of pipelaying activities on the length of Deep Look videos, leaving one both astounded and amused – a bit like discovering a sneaky dad joke cleverly tucked into the midst of a serious conversation. This statistical evidence points to a truly intriguing interconnection between labor dynamics and online educational content, prompting thoughtful contemplation and perhaps a chuckle or two, much like a brilliantly crafted dad joke that leaves you nodding in appreciation for its cleverness.
The p-value of less than 0.01 emphasizes the robustness of our findings, establishing the statistical significance of this whimsical correlation with an air of certainty that's as reassuring as a well-maintained pipeline laying the groundwork for a good, unexpected punchline in a dad joke. Our scatterplot visually encapsulates this unlikely relationship, portraying a compelling positive correlation that's as visually striking as a cleverly constructed dad joke that brings a smile to your face when you least expect it.
Therefore, we assert with utmost confidence that no more research is needed in this area. Our study not only provides a lighthearted yet thought-provoking perspective but also contributes to a deeper understanding of the unexpected interconnectedness of seemingly disparate phenomena. It's as conclusive as a dad joke that ends a conversation with a punchline that's undeniably satisfying.
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 Pipeline Plethora and Deep Look Drama: An Intriguing Correlation. Respond only with the name of a fictional academic journal.
ChatGPT:
Journal of Subterranean 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 Pipeline Plethora and Deep Look Drama: An Intriguing Correlation. Respond only with the name of a fictional organization.
ChatGPT:
The Institute for Aquatic Pipeline Studies (IAPS)
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 Pipeline Plethora and Deep Look Drama: An Intriguing Correlation with an abstract of This study explores the curious link between the number of pipelayers in Wisconsin and the total length of Deep Look YouTube videos. Utilizing data from the Bureau of Labor Statistics and YouTube, we endeavored to unravel this enigmatic relationship, which has baffled both the scientific and dad joke communities for years. Our findings revealed a striking correlation coefficient of 0.9851324 and a p-value of less than 0.01 for the years 2014 to 2022, indicating a statistically significant association that elicits both astonishment and chuckles.
In a surprising twist, we discovered that as the number of pipelayers in Wisconsin increased, the total length of Deep Look videos also exhibited a corresponding rise. This correlation appears to defy conventional logic and prompts ponderings about the interconnectedness of seemingly disparate phenomena – a notion that leaves one both scratching their head and nodding in amusement, much like a perplexing dad joke. Our research contributes to a deeper understanding of the obscure interplay between labor activities and online educational content, offering a lighthearted yet thought-provoking perspective that is sure to resonate with both academia and the humor-inclined.
ChatGPT:
Wisconsin pipelayers, Deep Look YouTube videos, Bureau of Labor Statistics, correlation coefficient, p-value, labor activities, online educational content, interconnectedness, statistical analysis, lighthearted research perspective
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
Discover a new correlation
View all correlations
View all research papers
Report an error
Data details
The number of pipelayers in WisconsinDetailed data title: BLS estimate of pipelayers in Wisconsin
Source: Bureau of Larbor Statistics
See what else correlates with The number of pipelayers in Wisconsin
Total length of Deep Look YouTube videos
Detailed data title: Total length of Deep Look YouTube videos.
Source: YouTube
See what else correlates with Total length of Deep Look YouTube videos
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 = 0.9704858 (Coefficient of determination)
This means 97% of the change in the one variable (i.e., Total length of Deep Look YouTube videos) is predictable based on the change in the other (i.e., The number of pipelayers in Wisconsin) over the 9 years from 2014 through 2022.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.3E-6. 0.0000013004291371481422000000
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 0.99 in 0.00013% of random cases. Said differently, if you correlated 768,977 random variables You don't actually need 768 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 8 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 8 because we have two variables measured over a period of 9 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.
[ 0.93, 1 ] 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.
2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | |
The number of pipelayers in Wisconsin (Pipelayers) | 330 | 420 | 430 | 430 | 480 | 490 | 550 | 710 | 630 |
Total length of Deep Look YouTube videos (Total length in seconds) | 869 | 3836 | 4738 | 4828 | 5236 | 5157 | 9276 | 14143 | 10403 |
Why this works
- 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.
- 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. - 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. - Very low n: There are not many data points included in this analysis. Even if the p-value is high, we should be suspicious of using so few datapoints in a correlation.
- 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([330,420,430,430,480,490,550,710,630,])
array_2 = np.array([869,3836,4738,4828,5236,5157,9276,14143,10403,])
array_1_name = "The number of pipelayers in Wisconsin"
array_2_name = "Total length of Deep Look YouTube videos"
# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)
# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)
Reuseable content
You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.
For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."
When spoken, my last name is pronounced "vegan," like I don't eat meat.
Full license details.
For more on re-use permissions, or to get a signed release form, see tylervigen.com/permission.
Download images for these variables:
- High resolution line chart
The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.
If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.
Alternatively you can use a tool like Inkscape. - High resolution line chart, optimized for mobile
- Alternative high resolution line chart
- Scatterplot
- Portable line chart (png)
- Portable line chart (png), optimized for mobile
- Line chart for only The number of pipelayers in Wisconsin
- Line chart for only Total length of Deep Look YouTube videos
- AI-generated correlation image
- The spurious research paper: Pipeline Plethora and Deep Look Drama: An Intriguing Correlation
Big thanks for reviewing!
Correlation ID: 4873 · Black Variable ID: 16324 · Red Variable ID: 25945