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Spurious correlation #5,106 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is The number of industrial machinery mechanics in Arkansas and the second variable is Average length of Simone Giertz's YouTube videos.  The chart goes from 2014 to 2022, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

As the army of machinery mechanics expanded in Arkansas, they inadvertently sparked a wave of creativity in their spare time. With a newfound passion for problem-solving, they began inventing wacky machines to streamline Simone Giertz's video production process. This led to longer, more elaborate contraptions designed to help with filming, editing, and even crafting her signature robotic hats. So, in a surprising twist, the mechanics' mechanical mastery led to an unforeseen surge in both the absurdity and duration of Simone's fantastic creations. Who knew that the real 'machine' behind longer videos was the influx of playful inventors tinkering away in the heart of America? It just goes to show, when Arkansas's mechanics put their gears in motion, Simone Giertz's YouTube channel becomes the ultimate destination for 'mechanical-entertainment'!

Model: dalle-3
Prompt: Create an image of a bustling workshop in Arkansas, showing industrious machinery mechanics tinkering with gears and gadgets. With Simone Giertz's studio in the background, filled with intricate contraptions crafted by the mechanics to aid in filming, editing, and hat-making. The chaos of the workshop is evident, as the inventive mechanics bring forth longer, zanier videos. The fusion of Arkansas engineering prowess and Simone's mechanical flair results in an unexpected surge of entertainment. 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 industrial machinery mechanics in Arkansas and Average length of Simone Giertz 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: a funny image macro Futuristic Low poly A scene from Skyrim Photorealism
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 The number of industrial machinery mechanics in Arkansas and Average length of Simone Giertz YouTube videos, in the following situation: As the army of machinery mechanics expanded in Arkansas, they inadvertently sparked a wave of creativity in their spare time. With a newfound passion for problem-solving, they began inventing wacky machines to streamline Simone Giertz's video production process. This led to longer, more elaborate contraptions designed to help with filming, editing, and even crafting her signature robotic hats. So, in a surprising twist, the mechanics' mechanical mastery led to an unforeseen surge in both the absurdity and duration of Simone's fantastic creations. Who knew that the real 'machine' behind longer videos was the influx of playful inventors tinkering away in the heart of America? It just goes to show, when Arkansas's mechanics put their gears in motion, Simone Giertz's YouTube channel becomes the ultimate destination for 'mechanical-entertainment'!. Keep the description simple.
ChatGPT: In a bustling workshop in Arkansas, industrious machinery mechanics diligently tinker with gears and gadgets, while simultaneously, the length of Simone Giertz's YouTube videos grows. Her studio is now filled with intricate contraptions crafted by the mechanics to aid in filming, editing, and hat-making. A delightful chaos ensues as the inventive mechanics, inspired by their work, bring forth longer, zanier videos, proving that the fusion of Arkansas engineering prowess and Simone's mechanical flair results in an unexpected surge of entertainment.

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 workshop in Arkansas, industrious machinery mechanics diligently tinker with gears and gadgets, while simultaneously, the length of Simone Giertz's YouTube videos grows. Her studio is now filled with intricate contraptions crafted by the mechanics to aid in filming, editing, and hat-making. A delightful chaos ensues as the inventive mechanics, inspired by their work, bring forth longer, zanier videos, proving that the fusion of Arkansas engineering prowess and Simone's mechanical flair results in an unexpected surge of entertainment. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Create an image of a bustling workshop in Arkansas, showing industrious machinery mechanics tinkering with gears and gadgets. With Simone Giertz's studio in the background, filled with intricate contraptions crafted by the mechanics to aid in filming, editing, and hat-making. The chaos of the workshop is evident, as the inventive mechanics bring forth longer, zanier videos. The fusion of Arkansas engineering prowess and Simone's mechanical flair results in an unexpected surge of entertainment.

*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 The number of industrial machinery mechanics in Arkansas caused Average length of Simone Giertz YouTube videos to increase.

AI academic paper

(Because p < 0.01)
Turner's Troublesome Taskmasters: A Quantitative Quirk Between Arkansas Machinery Mechanics and Simone Giertz's Video Vignettes

The Journal of Mechanical Mishaps and Comical Contrivances

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 dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics 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 industrial machinery mechanics in Arkansas and Average length of Simone Giertz YouTube videos. Make lots of jokes, goofy observations, and puns.

Make the title seem clever.

Your research team used data from Bureau of Larbor Statistics and YouTube to assess this nagging question. You found a correlation coefficient of 0.9855420 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]]
Turner's Troublesome Taskmasters: A Quantitative Quirk Between Arkansas Machinery Mechanics and Simone Giertz's Video Vignettes

[[ABSTRACT]]
This empirical study investigates the peculiar relationship between the number of industrial machinery mechanics in Arkansas and the average length of Simone Giertz's YouTube videos. Using comprehensive data from the Bureau of Labor Statistics and YouTube, we sought to uncover any hidden connection between these seemingly disparate variables. Our findings reveal a remarkably strong correlation coefficient of 0.9855420 and a statistically significant p-value of less than 0.01 for the period spanning 2014 to 2022.

The unexpected alignment of these variables prompted a quirky quest to comprehend the correlation's cause. Perhaps it is the meticulous machinery mavens who command longer viewing times, or could it be that Simone Giertz's fans are particularly fond of fixing things? While the precise mechanism behind this relationship remains enigmatic, our research sheds light on this delightful enigma. Whether it be a mechanical marvel or a YouTube algorithm anomaly, this correlation between Turner's troublesome taskmasters and Giertz's gregarious gadgets beckons for further investigation and, if nothing else, a few well-timed chuckles.


Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics 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 industrial machinery mechanics in Arkansas and Average length of Simone Giertz YouTube videos. Make lots of jokes, goofy observations, and puns.

Here is the title and abstract of the paper:
[[TITLE]]
Turner's Troublesome Taskmasters: A Quantitative Quirk Between Arkansas Machinery Mechanics and Simone Giertz's Video Vignettes

[[ABSTRACT]]
This empirical study investigates the peculiar relationship between the number of industrial machinery mechanics in Arkansas and the average length of Simone Giertz's YouTube videos. Using comprehensive data from the Bureau of Labor Statistics and YouTube, we sought to uncover any hidden connection between these seemingly disparate variables. Our findings reveal a remarkably strong correlation coefficient of 0.9855420 and a statistically significant p-value of less than 0.01 for the period spanning 2014 to 2022.

The unexpected alignment of these variables prompted a quirky quest to comprehend the correlation's cause. Perhaps it is the meticulous machinery mavens who command longer viewing times, or could it be that Simone Giertz's fans are particularly fond of fixing things? While the precise mechanism behind this relationship remains enigmatic, our research sheds light on this delightful enigma. Whether it be a mechanical marvel or a YouTube algorithm anomaly, this correlation between Turner's troublesome taskmasters and Giertz's gregarious gadgets beckons for further investigation and, if nothing else, a few well-timed chuckles.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

The intersection of industrial machinery mechanics in the picturesque state of Arkansas and the comedic genius of YouTube sensation Simone Giertz presents a curious conundrum. At first glance, one might be forgiven for assuming that these two domains have as much in common as a wrench and a watermelon. However, as the saying goes, "Never judge a book by its cover," or indeed, a mechanic by their coveralls.

The aim of this study is to unravel the unexpected entanglement between these seemingly unrelated variables, shedding light on an intriguing correlation that has eluded the scholarly spotlight. With an analytical lens focused on the number of industrial machinery mechanics in Arkansas and the average length of Simone Giertz's YouTube videos, we embark on a whimsical journey through the realm of quantitative quirk.

As scholars of peculiar patterns and statistical anomalies, we were struck by the remarkably strong correlation coefficient that emerged from our comprehensive analysis. The discovery of a correlation coefficient of 0.9855420 between these disparate variables sent ripples of curiosity through our research team, prompting exclamations of "Eureka!" and perhaps a few befuddled head scratches.

This correlation raises a myriad of questions, each more perplexing than the last. Could it be that the meticulous nature of machinery mavens somehow influences the duration of online video consumption? Or perhaps Simone Giertz's charismatic charm captivates her audience so thoroughly that they find themselves engrossed for extended periods, not unlike a particularly captivating technical manual? The possibilities are as numerous as the nuts and bolts in a well-stocked tool chest.

As we delve deeper into this unusual pairing, we invite readers to join us in exploring the unexpected twists and turns of our findings. This study stands as a testament to the inimitable and often unfathomable quirks of the world around us, reminding us that even the most unlikely connections can offer valuable insights into the human experience. So, buckle up and prepare for a journey through the idiosyncratic intersection of mechanics and YouTube videos – it's sure to be a wild ride.


Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics 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 industrial machinery mechanics in Arkansas and Average length of Simone Giertz YouTube videos. Make lots of jokes, goofy observations, and puns.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name some movies that you watched that are tangentially related to the topic.

Here is the title and abstract of the paper:
[[TITLE]]
Turner's Troublesome Taskmasters: A Quantitative Quirk Between Arkansas Machinery Mechanics and Simone Giertz's Video Vignettes

[[ABSTRACT]]
This empirical study investigates the peculiar relationship between the number of industrial machinery mechanics in Arkansas and the average length of Simone Giertz's YouTube videos. Using comprehensive data from the Bureau of Labor Statistics and YouTube, we sought to uncover any hidden connection between these seemingly disparate variables. Our findings reveal a remarkably strong correlation coefficient of 0.9855420 and a statistically significant p-value of less than 0.01 for the period spanning 2014 to 2022.

The unexpected alignment of these variables prompted a quirky quest to comprehend the correlation's cause. Perhaps it is the meticulous machinery mavens who command longer viewing times, or could it be that Simone Giertz's fans are particularly fond of fixing things? While the precise mechanism behind this relationship remains enigmatic, our research sheds light on this delightful enigma. Whether it be a mechanical marvel or a YouTube algorithm anomaly, this correlation between Turner's troublesome taskmasters and Giertz's gregarious gadgets beckons for further investigation and, if nothing else, a few well-timed chuckles.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The intersection of industrial machinery mechanics in the picturesque state of Arkansas and the comedic genius of YouTube sensation Simone Giertz presents a curious conundrum. At first glance, one might be forgiven for assuming that these two domains have as much in common as a wrench and a watermelon. However, as the saying goes, "Never judge a book by its cover," or indeed, a mechanic by their coveralls.
The aim of this study is to unravel the unexpected entanglement between these seemingly unrelated variables, shedding light on an intriguing correlation that has eluded the scholarly spotlight. With an analytical lens focused on the number of industrial machinery mechanics in Arkansas and the average length of Simone Giertz's YouTube videos, we embark on a whimsical journey through the realm of quantitative quirk.
As scholars of peculiar patterns and statistical anomalies, we were struck by the remarkably strong correlation coefficient that emerged from our comprehensive analysis. The discovery of a correlation coefficient of 0.9855420 between these disparate variables sent ripples of curiosity through our research team, prompting exclamations of "Eureka!" and perhaps a few befuddled head scratches.
This correlation raises a myriad of questions, each more perplexing than the last. Could it be that the meticulous nature of machinery mavens somehow influences the duration of online video consumption? Or perhaps Simone Giertz's charismatic charm captivates her audience so thoroughly that they find themselves engrossed for extended periods, not unlike a particularly captivating technical manual? The possibilities are as numerous as the nuts and bolts in a well-stocked tool chest.
As we delve deeper into this unusual pairing, we invite readers to join us in exploring the unexpected twists and turns of our findings. This study stands as a testament to the inimitable and often unfathomable quirks of the world around us, reminding us that even the most unlikely connections can offer valuable insights into the human experience. So, buckle up and prepare for a journey through the idiosyncratic intersection of mechanics and YouTube videos – it's sure to be a wild ride.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

In Smith's seminal work on occupational demographics, the author concludes that the population of industrial machinery mechanics in Arkansas has exhibited a steady increase over the past decade. Doe further expounds on this trend by attributing the rise to the state's burgeoning manufacturing sector, thereby fostering a conducive environment for professionals in the mechanical trades.

However, as we venture into more unorthodox territory, the connection between the number of industrial machinery mechanics in Arkansas and the average length of Simone Giertz's YouTube videos becomes increasingly enigmatic. In the eclectic domain of YouTube analytics, the breadth of scholarly research is, understandably, limited.

Turning to non-fiction literature, "The Art of Machinery Maintenance" by Frank Jones provides a comprehensive understanding of the meticulous craft of machinery maintenance. Meanwhile, "DIY Gadgets and Guffaws" by Amanda Smith delves into the world of inventive gadgetry and the humor infused within. These tomes offer glimpses into the esoteric expertise of machinery mavens and the whimsical world of peculiar inventions.

In a more tangential approach, fictional works such as "The Mechanical Muse" by Laura Doe and "Gadgetry Galore" by Robert Smith offer fanciful narratives that weave industrial contraptions and comedic contrivances into whimsical tales. While these literary explorations may seem far removed from the empirical rigors of our study, they hint at the underlying intrigue surrounding the marriage of machinery and mirth.

On a related yet divergent note, movies like "Mechanic: Resurrection" and "The Lego Movie" provide cinematic escapades into the world of mechanics and inventive engineering, offering anecdotal insights into the allure of mechanical feats and creative ingenuity. While the silver screen provides a less direct avenue of inquiry, its portrayal of mechanical marvels and comedic capers serves as a tangentially relevant backdrop to our investigation.

In synthesizing these diverse sources, we glimpse the multifaceted nature of the relationship between industrial machinery mechanics in Arkansas and the average length of Simone Giertz's YouTube videos. As we revel in the quirkiness of this unconventional correlation, the academic endeavor is infused with the levity and ludicrousness that this anomalous association evokes.


Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics 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 industrial machinery mechanics in Arkansas and Average length of Simone Giertz YouTube videos. Make lots of jokes, goofy observations, and puns.

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]]
Turner's Troublesome Taskmasters: A Quantitative Quirk Between Arkansas Machinery Mechanics and Simone Giertz's Video Vignettes

[[ABSTRACT]]
This empirical study investigates the peculiar relationship between the number of industrial machinery mechanics in Arkansas and the average length of Simone Giertz's YouTube videos. Using comprehensive data from the Bureau of Labor Statistics and YouTube, we sought to uncover any hidden connection between these seemingly disparate variables. Our findings reveal a remarkably strong correlation coefficient of 0.9855420 and a statistically significant p-value of less than 0.01 for the period spanning 2014 to 2022.

The unexpected alignment of these variables prompted a quirky quest to comprehend the correlation's cause. Perhaps it is the meticulous machinery mavens who command longer viewing times, or could it be that Simone Giertz's fans are particularly fond of fixing things? While the precise mechanism behind this relationship remains enigmatic, our research sheds light on this delightful enigma. Whether it be a mechanical marvel or a YouTube algorithm anomaly, this correlation between Turner's troublesome taskmasters and Giertz's gregarious gadgets beckons for further investigation and, if nothing else, a few well-timed chuckles.

[[INTRODUCTION]]
The intersection of industrial machinery mechanics in the picturesque state of Arkansas and the comedic genius of YouTube sensation Simone Giertz presents a curious conundrum. At first glance, one might be forgiven for assuming that these two domains have as much in common as a wrench and a watermelon. However, as the saying goes, "Never judge a book by its cover," or indeed, a mechanic by their coveralls.
The aim of this study is to unravel the unexpected entanglement between these seemingly unrelated variables, shedding light on an intriguing correlation that has eluded the scholarly spotlight. With an analytical lens focused on the number of industrial machinery mechanics in Arkansas and the average length of Simone Giertz's YouTube videos, we embark on a whimsical journey through the realm of quantitative quirk.
As scholars of peculiar patterns and statistical anomalies, we were struck by the remarkably strong correlation coefficient that emerged from our comprehensive analysis. The discovery of a correlation coefficient of 0.9855420 between these disparate variables sent ripples of curiosity through our research team, prompting exclamations of "Eureka!" and perhaps a few befuddled head scratches.
This correlation raises a myriad of questions, each more perplexing than the last. Could it be that the meticulous nature of machinery mavens somehow influences the duration of online video consumption? Or perhaps Simone Giertz's charismatic charm captivates her audience so thoroughly that they find themselves engrossed for extended periods, not unlike a particularly captivating technical manual? The possibilities are as numerous as the nuts and bolts in a well-stocked tool chest.
As we delve deeper into this unusual pairing, we invite readers to join us in exploring the unexpected twists and turns of our findings. This study stands as a testament to the inimitable and often unfathomable quirks of the world around us, reminding us that even the most unlikely connections can offer valuable insights into the human experience. So, buckle up and prepare for a journey through the idiosyncratic intersection of mechanics and YouTube videos – it's sure to be a wild ride.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

The methodology employed in this research endeavor involved a multifaceted approach to gather and analyze data pertaining to the number of industrial machinery mechanics in Arkansas and the average length of Simone Giertz's YouTube videos. The data collection process spanned the period from 2014 to 2022, encompassing a breadth of numerical and audiovisual material.

To assess the number of industrial machinery mechanics in Arkansas, data were primarily sourced from the Bureau of Labor Statistics' Occupational Employment Statistics program. This comprehensive dataset provided a wealth of information regarding the employment of machinery mechanics in Arkansas, comprising numerical counts and periodic variations over the study period. Additionally, supplementary information from state labor departments and industry associations was consulted to validate and enrich our understanding of this quintessential quantifiable parameter.

In the pursuit of discerning the average length of Simone Giertz's YouTube videos, an exhaustive examination of her YouTube channel was conducted. This involved watching numerous video vignettes, deciphering titles, and scrutinizing temporal details with rigorous dedication. In instances where the precise duration of videos was unavailable, sophisticated algorithms were leveraged to estimate the temporal metrics, ensuring a comprehensive and accurate representation of the variable under scrutiny.

Following the meticulous curation of these disparate datasets, statistical analyses were performed to investigate the possible correlation between the number of industrial machinery mechanics in Arkansas and the average length of Simone Giertz's YouTube videos. By employing advanced statistical software, the correlation coefficient and associated p-values were derived, enabling a robust assessment of the strength and significance of the observed relationship.

Moreover, to establish the temporal evolution of this correlation, time series analyses were executed, offering insights into potential trends and fluctuations over the eight-year study period. The utilization of cutting-edge econometric techniques and time series modeling allowed for a nuanced exploration of the dynamic interplay between these idiosyncratic variables.

In light of the unorthodox nature of this research inquiry, the methodological framework adopted reflects a blend of quantitative rigor and irrepressible curiosity, embodying the spirit of scholarly investigation tinged with whimsical wonder. The methodological approach presented herein substantiates the empirical foundations of our findings, paving the way for a more comprehensive understanding of this peculiar quantitative quirk.


Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics 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 industrial machinery mechanics in Arkansas and Average length of Simone Giertz YouTube videos. Make lots of jokes, goofy observations, and puns.

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 0.9855420, r-squared of 0.9712931, 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]]
Turner's Troublesome Taskmasters: A Quantitative Quirk Between Arkansas Machinery Mechanics and Simone Giertz's Video Vignettes

[[ABSTRACT]]
This empirical study investigates the peculiar relationship between the number of industrial machinery mechanics in Arkansas and the average length of Simone Giertz's YouTube videos. Using comprehensive data from the Bureau of Labor Statistics and YouTube, we sought to uncover any hidden connection between these seemingly disparate variables. Our findings reveal a remarkably strong correlation coefficient of 0.9855420 and a statistically significant p-value of less than 0.01 for the period spanning 2014 to 2022.

The unexpected alignment of these variables prompted a quirky quest to comprehend the correlation's cause. Perhaps it is the meticulous machinery mavens who command longer viewing times, or could it be that Simone Giertz's fans are particularly fond of fixing things? While the precise mechanism behind this relationship remains enigmatic, our research sheds light on this delightful enigma. Whether it be a mechanical marvel or a YouTube algorithm anomaly, this correlation between Turner's troublesome taskmasters and Giertz's gregarious gadgets beckons for further investigation and, if nothing else, a few well-timed chuckles.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The intersection of industrial machinery mechanics in the picturesque state of Arkansas and the comedic genius of YouTube sensation Simone Giertz presents a curious conundrum. At first glance, one might be forgiven for assuming that these two domains have as much in common as a wrench and a watermelon. However, as the saying goes, "Never judge a book by its cover," or indeed, a mechanic by their coveralls.
The aim of this study is to unravel the unexpected entanglement between these seemingly unrelated variables, shedding light on an intriguing correlation that has eluded the scholarly spotlight. With an analytical lens focused on the number of industrial machinery mechanics in Arkansas and the average length of Simone Giertz's YouTube videos, we embark on a whimsical journey through the realm of quantitative quirk.
As scholars of peculiar patterns and statistical anomalies, we were struck by the remarkably strong correlation coefficient that emerged from our comprehensive analysis. The discovery of a correlation coefficient of 0.9855420 between these disparate variables sent ripples of curiosity through our research team, prompting exclamations of "Eureka!" and perhaps a few befuddled head scratches.
This correlation raises a myriad of questions, each more perplexing than the last. Could it be that the meticulous nature of machinery mavens somehow influences the duration of online video consumption? Or perhaps Simone Giertz's charismatic charm captivates her audience so thoroughly that they find themselves engrossed for extended periods, not unlike a particularly captivating technical manual? The possibilities are as numerous as the nuts and bolts in a well-stocked tool chest.
As we delve deeper into this unusual pairing, we invite readers to join us in exploring the unexpected twists and turns of our findings. This study stands as a testament to the inimitable and often unfathomable quirks of the world around us, reminding us that even the most unlikely connections can offer valuable insights into the human experience. So, buckle up and prepare for a journey through the idiosyncratic intersection of mechanics and YouTube videos – it's sure to be a wild ride.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The analysis of the data collected from the Bureau of Labor Statistics and YouTube yielded an intriguing insight into the relationship between the number of industrial machinery mechanics in Arkansas and the average length of Simone Giertz's YouTube videos. Over the period spanning 2014 to 2022, a remarkably strong correlation coefficient of 0.9855420 was found, indicating a robust linear relationship between the two variables. Additionally, the coefficient of determination (r-squared) was calculated to be 0.9712931, suggesting that approximately 97.13% of the variability in the average length of Simone Giertz's videos can be explained by the number of industrial machinery mechanics in Arkansas. Furthermore, the p-value was found to be less than 0.01, indicating that the observed association is statistically significant.

The association between these seemingly unrelated variables is captured in Fig. 1, which depicts a scatterplot showcasing the striking correlation between the number of industrial machinery mechanics in Arkansas and the average length of Simone Giertz's YouTube videos. However, the cause of this unexpected correlation remains shrouded in mystery, inviting playful speculation and prompting a lively debate among our research team.

This unanticipated alignment of mechanics and YouTube videos has sparked a range of whimsical hypotheses among our team. Perhaps the meticulous nature of machinery mavens leads them to appreciate longer videos, or maybe Simone Giertz's charisma captivates her audience in a way that extends their viewing duration. The underlying mechanism behind this curious correlation remains an engaging conundrum, leaving us with a robust correlation but few straightforward explanations.

In conclusion, our investigation has uncovered a delightful connection between Turner's troublesome taskmasters and Giertz's gregarious gadgets, offering a lighthearted glimpse into the enigmatic intersection of mechanics and YouTube content. The unexpected relationship between these variables beckons for further exploration and gives credence to the adage that sometimes, the most unexpected connections yield the most intriguing insights.


Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics 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 industrial machinery mechanics in Arkansas and Average length of Simone Giertz YouTube videos. Make lots of jokes, goofy observations, and puns.

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]]
Turner's Troublesome Taskmasters: A Quantitative Quirk Between Arkansas Machinery Mechanics and Simone Giertz's Video Vignettes

[[ABSTRACT]]
This empirical study investigates the peculiar relationship between the number of industrial machinery mechanics in Arkansas and the average length of Simone Giertz's YouTube videos. Using comprehensive data from the Bureau of Labor Statistics and YouTube, we sought to uncover any hidden connection between these seemingly disparate variables. Our findings reveal a remarkably strong correlation coefficient of 0.9855420 and a statistically significant p-value of less than 0.01 for the period spanning 2014 to 2022.

The unexpected alignment of these variables prompted a quirky quest to comprehend the correlation's cause. Perhaps it is the meticulous machinery mavens who command longer viewing times, or could it be that Simone Giertz's fans are particularly fond of fixing things? While the precise mechanism behind this relationship remains enigmatic, our research sheds light on this delightful enigma. Whether it be a mechanical marvel or a YouTube algorithm anomaly, this correlation between Turner's troublesome taskmasters and Giertz's gregarious gadgets beckons for further investigation and, if nothing else, a few well-timed chuckles.

[[LITERATURE REVIEW]]
In Smith's seminal work on occupational demographics, the author concludes that the population of industrial machinery mechanics in Arkansas has exhibited a steady increase over the past decade. Doe further expounds on this trend by attributing the rise to the state's burgeoning manufacturing sector, thereby fostering a conducive environment for professionals in the mechanical trades.
However, as we venture into more unorthodox territory, the connection between the number of industrial machinery mechanics in Arkansas and the average length of Simone Giertz's YouTube videos becomes increasingly enigmatic. In the eclectic domain of YouTube analytics, the breadth of scholarly research is, understandably, limited.
Turning to non-fiction literature, "The Art of Machinery Maintenance" by Frank Jones provides a comprehensive understanding of the meticulous craft of machinery maintenance. Meanwhile, "DIY Gadgets and Guffaws" by Amanda Smith delves into the world of inventive gadgetry and the humor infused within. These tomes offer glimpses into the esoteric expertise of machinery mavens and the whimsical world of peculiar inventions.
In a more tangential approach, fictional works such as "The Mechanical Muse" by Laura Doe and "Gadgetry Galore" by Robert Smith offer fanciful narratives that weave industrial contraptions and comedic contrivances into whimsical tales. While these literary explorations may seem far removed from the empirical rigors of our study, they hint at the underlying intrigue surrounding the marriage of machinery and mirth.
On a related yet divergent note, movies like "Mechanic: Resurrection" and "The Lego Movie" provide cinematic escapades into the world of mechanics and inventive engineering, offering anecdotal insights into the allure of mechanical feats and creative ingenuity. While the silver screen provides a less direct avenue of inquiry, its portrayal of mechanical marvels and comedic capers serves as a tangentially relevant backdrop to our investigation.
In synthesizing these diverse sources, we glimpse the multifaceted nature of the relationship between industrial machinery mechanics in Arkansas and the average length of Simone Giertz's YouTube videos. As we revel in the quirkiness of this unconventional correlation, the academic endeavor is infused with the levity and ludicrousness that this anomalous association evokes.

[[RESULTS]]
The analysis of the data collected from the Bureau of Labor Statistics and YouTube yielded an intriguing insight into the relationship between the number of industrial machinery mechanics in Arkansas and the average length of Simone Giertz's YouTube videos. Over the period spanning 2014 to 2022, a remarkably strong correlation coefficient of 0.9855420 was found, indicating a robust linear relationship between the two variables. Additionally, the coefficient of determination (r-squared) was calculated to be 0.9712931, suggesting that approximately 97.13% of the variability in the average length of Simone Giertz's videos can be explained by the number of industrial machinery mechanics in Arkansas. Furthermore, the p-value was found to be less than 0.01, indicating that the observed association is statistically significant.
The association between these seemingly unrelated variables is captured in Fig. 1, which depicts a scatterplot showcasing the striking correlation between the number of industrial machinery mechanics in Arkansas and the average length of Simone Giertz's YouTube videos. However, the cause of this unexpected correlation remains shrouded in mystery, inviting playful speculation and prompting a lively debate among our research team.
This unanticipated alignment of mechanics and YouTube videos has sparked a range of whimsical hypotheses among our team. Perhaps the meticulous nature of machinery mavens leads them to appreciate longer videos, or maybe Simone Giertz's charisma captivates her audience in a way that extends their viewing duration. The underlying mechanism behind this curious correlation remains an engaging conundrum, leaving us with a robust correlation but few straightforward explanations.
In conclusion, our investigation has uncovered a delightful connection between Turner's troublesome taskmasters and Giertz's gregarious gadgets, offering a lighthearted glimpse into the enigmatic intersection of mechanics and YouTube content. The unexpected relationship between these variables beckons for further exploration and gives credence to the adage that sometimes, the most unexpected connections yield the most intriguing insights.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The results of our investigation into the connection between the number of industrial machinery mechanics in Arkansas and the average length of Simone Giertz's YouTube videos are nothing short of remarkable. Our findings, which reveal a remarkably strong correlation coefficient of 0.9855420 and a statistically significant p-value of less than 0.01, support the unconventional hypotheses put forth in the literature review.

Drawing from Smith's and Doe's accounts of the increasing population of industrial machinery mechanics in Arkansas, our results corroborate the notion that the rise in mechanic professionals is indeed coupled with a correlated increase in the length of Simone Giertz's YouTube videos. While it may seem absurd to posit a relationship between these seemingly unrelated phenomena, our study offers empirical validation of this whimsical combination.

Additionally, the quirky anecdotes and fictional works cited in our literature review, although seemingly tangential, serve as light-hearted indicators of the broader societal fascination with the intersection of mechanics and amusement. While these sources may not provide explicit empirical evidence, they offer a whimsical backdrop that contributes to the lighthearted nature of our investigation.

The statistically significant correlation between the number of industrial machinery mechanics in Arkansas and the average length of Simone Giertz's YouTube videos challenges traditional conceptions of occupational demographics and content creation. This unexpected bond between Turner's troublesome taskmasters and Giertz's gregarious gadgets underscores the delightful idiosyncrasies of our modern world, demonstrating that even the most unconventional pairings can unveil noteworthy patterns and insights.

In conclusion, our study provides a quirky yet compelling glimpse into the enigmatic correlation between machinery mechanics and YouTube content. As we eagerly await future research delving deeper into this delightfully perplexing relationship, we can take solace in the fact that our unconventional inquiry has offered a brief respite from the mundanity of traditional empirical investigations.


Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics 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 industrial machinery mechanics in Arkansas and Average length of Simone Giertz YouTube videos. Make lots of jokes, goofy observations, and puns.

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]]
Turner's Troublesome Taskmasters: A Quantitative Quirk Between Arkansas Machinery Mechanics and Simone Giertz's Video Vignettes

[[ABSTRACT]]
This empirical study investigates the peculiar relationship between the number of industrial machinery mechanics in Arkansas and the average length of Simone Giertz's YouTube videos. Using comprehensive data from the Bureau of Labor Statistics and YouTube, we sought to uncover any hidden connection between these seemingly disparate variables. Our findings reveal a remarkably strong correlation coefficient of 0.9855420 and a statistically significant p-value of less than 0.01 for the period spanning 2014 to 2022.

The unexpected alignment of these variables prompted a quirky quest to comprehend the correlation's cause. Perhaps it is the meticulous machinery mavens who command longer viewing times, or could it be that Simone Giertz's fans are particularly fond of fixing things? While the precise mechanism behind this relationship remains enigmatic, our research sheds light on this delightful enigma. Whether it be a mechanical marvel or a YouTube algorithm anomaly, this correlation between Turner's troublesome taskmasters and Giertz's gregarious gadgets beckons for further investigation and, if nothing else, a few well-timed chuckles.

[[INTRDUCTION]]
The intersection of industrial machinery mechanics in the picturesque state of Arkansas and the comedic genius of YouTube sensation Simone Giertz presents a curious conundrum. At first glance, one might be forgiven for assuming that these two domains have as much in common as a wrench and a watermelon. However, as the saying goes, "Never judge a book by its cover," or indeed, a mechanic by their coveralls.
The aim of this study is to unravel the unexpected entanglement between these seemingly unrelated variables, shedding light on an intriguing correlation that has eluded the scholarly spotlight. With an analytical lens focused on the number of industrial machinery mechanics in Arkansas and the average length of Simone Giertz's YouTube videos, we embark on a whimsical journey through the realm of quantitative quirk.
As scholars of peculiar patterns and statistical anomalies, we were struck by the remarkably strong correlation coefficient that emerged from our comprehensive analysis. The discovery of a correlation coefficient of 0.9855420 between these disparate variables sent ripples of curiosity through our research team, prompting exclamations of "Eureka!" and perhaps a few befuddled head scratches.
This correlation raises a myriad of questions, each more perplexing than the last. Could it be that the meticulous nature of machinery mavens somehow influences the duration of online video consumption? Or perhaps Simone Giertz's charismatic charm captivates her audience so thoroughly that they find themselves engrossed for extended periods, not unlike a particularly captivating technical manual? The possibilities are as numerous as the nuts and bolts in a well-stocked tool chest.
As we delve deeper into this unusual pairing, we invite readers to join us in exploring the unexpected twists and turns of our findings. This study stands as a testament to the inimitable and often unfathomable quirks of the world around us, reminding us that even the most unlikely connections can offer valuable insights into the human experience. So, buckle up and prepare for a journey through the idiosyncratic intersection of mechanics and YouTube videos – it's sure to be a wild ride.

[[RESULTS]]
The analysis of the data collected from the Bureau of Labor Statistics and YouTube yielded an intriguing insight into the relationship between the number of industrial machinery mechanics in Arkansas and the average length of Simone Giertz's YouTube videos. Over the period spanning 2014 to 2022, a remarkably strong correlation coefficient of 0.9855420 was found, indicating a robust linear relationship between the two variables. Additionally, the coefficient of determination (r-squared) was calculated to be 0.9712931, suggesting that approximately 97.13% of the variability in the average length of Simone Giertz's videos can be explained by the number of industrial machinery mechanics in Arkansas. Furthermore, the p-value was found to be less than 0.01, indicating that the observed association is statistically significant.
The association between these seemingly unrelated variables is captured in Fig. 1, which depicts a scatterplot showcasing the striking correlation between the number of industrial machinery mechanics in Arkansas and the average length of Simone Giertz's YouTube videos. However, the cause of this unexpected correlation remains shrouded in mystery, inviting playful speculation and prompting a lively debate among our research team.
This unanticipated alignment of mechanics and YouTube videos has sparked a range of whimsical hypotheses among our team. Perhaps the meticulous nature of machinery mavens leads them to appreciate longer videos, or maybe Simone Giertz's charisma captivates her audience in a way that extends their viewing duration. The underlying mechanism behind this curious correlation remains an engaging conundrum, leaving us with a robust correlation but few straightforward explanations.
In conclusion, our investigation has uncovered a delightful connection between Turner's troublesome taskmasters and Giertz's gregarious gadgets, offering a lighthearted glimpse into the enigmatic intersection of mechanics and YouTube content. The unexpected relationship between these variables beckons for further exploration and gives credence to the adage that sometimes, the most unexpected connections yield the most intriguing insights.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

The unearthing of a robust correlation coefficient of 0.9855420 and a statistically significant p-value of less than 0.01 between the number of industrious machinery mechanics in Arkansas and the average length of Simone Giertz's YouTube videos has left our research team simultaneously scratching their heads and chuckling. This unexpected link between the intricacies of machinery maintenance and the whimsical world of YouTube presents a deliciously quirky quandary.

As we wrap up our investigation, we cannot help but entertain a variety of playful speculations and ponder the mechanistic musings behind this correlation. Could it be that the fastidious attention to detail characteristic of machinery mavens predisposes them to savor longer video content, much like the precise calibration of a well-oiled machine? Or perchance Simone Giertz's infectious charm captivates her audience to such an extent that they find themselves riveted for extended periods, not unlike a particularly engrossing repair manual? The potential explanations are as myriad as the gears in a well-stocked workshop.

This investigation has underscored the unpredictable and often amusing nature of quantitative inquiry, demonstrating that even the most apparently unrelated variables may harbor surprising connections. However, the cause of this correlation will remain an enigma, at least until a team of enterprising researchers decides to tackle the issue with a blend of analytical acumen and good-natured curiosity.

In the spirit of scientific inquiry, we must assert that further research in this area is, without a doubt, unnecessary. The idiosyncratic intersection of mechanics and YouTube videos has been thoroughly examined, and any additional investigation would undoubtedly yield diminishing returns. Instead, let us savor the delightfully peculiar connection we have uncovered, secure in the knowledge that sometimes, the most unexpected correlations bring the greatest delight.


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 Turner's Troublesome Taskmasters: A Quantitative Quirk Between Arkansas Machinery Mechanics and Simone Giertz's Video Vignettes. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Mechanical Mishaps and Comical Contrivances


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 Turner's Troublesome Taskmasters: A Quantitative Quirk Between Arkansas Machinery Mechanics and Simone Giertz's Video Vignettes. Respond only with the name of a fictional organization.

ChatGPT:

The Maxwell Institute for Technological Tomfoolery


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 Turner's Troublesome Taskmasters: A Quantitative Quirk Between Arkansas Machinery Mechanics and Simone Giertz's Video Vignettes with an abstract of This empirical study investigates the peculiar relationship between the number of industrial machinery mechanics in Arkansas and the average length of Simone Giertz's YouTube videos. Using comprehensive data from the Bureau of Labor Statistics and YouTube, we sought to uncover any hidden connection between these seemingly disparate variables. Our findings reveal a remarkably strong correlation coefficient of 0.9855420 and a statistically significant p-value of less than 0.01 for the period spanning 2014 to 2022.
The unexpected alignment of these variables prompted a quirky quest to comprehend the correlation's cause. Perhaps it is the meticulous machinery mavens who command longer viewing times, or could it be that Simone Giertz's fans are particularly fond of fixing things? While the precise mechanism behind this relationship remains enigmatic, our research sheds light on this delightful enigma. Whether it be a mechanical marvel or a YouTube algorithm anomaly, this correlation between Turner's troublesome taskmasters and Giertz's gregarious gadgets beckons for further investigation and, if nothing else, a few well-timed chuckles.

ChatGPT:

Arkansas machinery mechanics, Simone Giertz, YouTube videos, correlation coefficient, empirical study, industrial machinery, Bureau of Labor Statistics, statistical significance, YouTube algorithm, correlation cause, machinery mechanics, Simone Giertz's fans

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



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Data details

The number of industrial machinery mechanics in Arkansas
Detailed data title: BLS estimate of industrial machinery mechanics in Arkansas
Source: Bureau of Larbor Statistics
See what else correlates with The number of industrial machinery mechanics in Arkansas

Average length of Simone Giertz's YouTube videos
Detailed data title: Average length of Simone Giertz YouTube videos.
Source: YouTube
See what else correlates with Average length of Simone Giertz's YouTube videos

Correlation r = 0.9855420 (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 = 0.9712931 (Coefficient of determination)
This means 97.1% of the change in the one variable (i.e., Average length of Simone Giertz's YouTube videos) is predictable based on the change in the other (i.e., The number of industrial machinery mechanics in Arkansas) over the 9 years from 2014 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.2E-6. 0.0000011797605296291098000000
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 0.00012% of random cases. Said differently, if you correlated 847,630 random variables You don't actually need 847 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.
201420152016201720182019202020212022
The number of industrial machinery mechanics in Arkansas (Laborers)455044605040531059006900701068006100
Average length of Simone Giertz's YouTube videos (Length in seconds)80114.615282.917400.45455.222787.4796.778812.25481




Why this works

  1. Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
  2. Lack of causal connection: There is probably Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
    no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
  3. Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
    p-value calculation does not take this into account, so mathematically it appears less probable than it really is.
  4. Very low n: There are not many data points included in this analysis. Even if the p-value is high, we should be suspicious of using so few datapoints in a correlation.
  5. Y-axis doesn't start at zero: I truncated the Y-axes of the graph above. I also used a line graph, which makes the visual connection stand out more than it deserves. Nothing against line graphs. They are great at telling a story when you have linear data! But visually it is deceptive because the only data is at the points on the graph, not the lines on the graph. In between each point, the data could have been doing anything. Like going for a random walk by itself!
    Mathematically what I showed is true, but it is intentionally misleading. Below is the same chart but with both Y-axes starting at zero.




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([4550,4460,5040,5310,5900,6900,7010,6800,6100,])
array_2 = np.array([80,114.615,282.917,400.45,455.222,787.4,796.778,812.25,481,])
array_1_name = "The number of industrial machinery mechanics in Arkansas"
array_2_name = "Average length of Simone Giertz's 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)



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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: 5106 · Black Variable ID: 5283 · Red Variable ID: 25683
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