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Spurious correlation #4,540 · 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 surgical technologists in South Dakota and the second variable is Total comments on Tom Scott's YouTube videos.  The chart goes from 2009 to 2022, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

As the number of surgical technologists in South Dakota rises, so does the total number of comments on Tom Scott's YouTube videos. This unexpected correlation can be attributed to the calming effect of watching surgical procedures, leading to a heightened state of internet engagement. As more technologists join the workforce, their influence on the digital world grows, stitching together a new fabric of online interaction. It’s as if their presence in the operating room is operationally amplifying the levels of discourse in the virtual space, creating a feedback loop of commentary that even the most skilled of content creators would find difficult to suture. This phenomenon, while not yet fully dissected, certainly merits further observation and may ultimately revolutionize our understanding of technological interventions in the realm of social media.

Model: dalle-3
Prompt: Prompt: Generate an image where in the operating room of a hospital in South Dakota, surgical technologists are preparing for a procedure. As they work, a computer monitor displays a high-tech visual, with the image of Tom Scott's YouTube video along with a rapidly scrolling comment section indicating a surge in engagement. The technologists' focus on their tasks has a soothing effect, subtly influencing the heightened digital interaction happening in the virtual world. The resulting image should convey the juxtaposition of the intense activity in the operating room with the digital engagement on the computer monitor, highlighting the intersection of technology and human expertise in the medical setting. 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 surgical technologists in South Dakota and Total comments on Tom Scott 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: High-tech 3D Pixar Style Scalar art a Polaroid photo Cutsy graphics
ChatGPT: High-tech

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 surgical technologists in South Dakota and Total comments on Tom Scott YouTube videos, in the following situation: As the number of surgical technologists in South Dakota rises, so does the total number of comments on Tom Scott's YouTube videos. This unexpected correlation can be attributed to the calming effect of watching surgical procedures, leading to a heightened state of internet engagement. As more technologists join the workforce, their influence on the digital world grows, stitching together a new fabric of online interaction. It’s as if their presence in the operating room is operationally amplifying the levels of discourse in the virtual space, creating a feedback loop of commentary that even the most skilled of content creators would find difficult to suture. This phenomenon, while not yet fully dissected, certainly merits further observation and may ultimately revolutionize our understanding of technological interventions in the realm of social media.. Keep the description simple.
ChatGPT: In the operating room of a hospital in South Dakota, we see an increasing number of surgical technologists bustling around, preparing for a procedure. As they work, a computer monitor displays Tom Scott's YouTube video, with the comment section scrolling rapidly, indicating a surge in engagement. The technologists' focus on their tasks seems to have a soothing effect, subtly influencing the heightened digital interaction happening in the virtual world.

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: [ High-tech ] and depicting this scene: In the operating room of a hospital in South Dakota, we see an increasing number of surgical technologists bustling around, preparing for a procedure. As they work, a computer monitor displays Tom Scott's YouTube video, with the comment section scrolling rapidly, indicating a surge in engagement. The technologists' focus on their tasks seems to have a soothing effect, subtly influencing the heightened digital interaction happening in the virtual world. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Prompt: Generate an image where in the operating room of a hospital in South Dakota, surgical technologists are preparing for a procedure. As they work, a computer monitor displays a high-tech visual, with the image of Tom Scott's YouTube video along with a rapidly scrolling comment section indicating a surge in engagement. The technologists' focus on their tasks has a soothing effect, subtly influencing the heightened digital interaction happening in the virtual world. The resulting image should convey the juxtaposition of the intense activity in the operating room with the digital engagement on the computer monitor, highlighting the intersection of technology and human expertise in the medical setting.

*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 surgical technologists in South Dakota caused Total comments on Tom Scott YouTube videos to increase.\Make it sound serious until the end.

AI academic paper

(Because p < 0.01)
The Scrubs and Scruples: A Statistical Analysis of Surgical Technologists in South Dakota and Their Influence on Total Comments on Tom Scott YouTube Videos

The Journal of Quirky Sociological Studies

Jan 2024

Reminder: This paper is AI-generated. Not real!
Quick note: This sequence is long and repetitive. That's how the prompt engineering works for this one. I manage the output in Python to format it into this PDF.




Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You write titles and abstracts of goofy academic research papers.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, and add unexpected twists in your writing.

Please draft the title and abstract of an academic research paper presenting the findings of the connection between The number of surgical technologists in South Dakota and Total comments on Tom Scott YouTube videos. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Make the title punny if you can come up with clever pun. If not, make it sound serious.

Your research team used data from Bureau of Larbor Statistics and YouTube to assess this nagging question. You found a correlation coefficient of 0.9367081 and p < 0.01 for 2009 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]]
The Scrubs and Scruples: A Statistical Analysis of Surgical Technologists in South Dakota and Their Influence on Total Comments on Tom Scott YouTube Videos

[[ABSTRACT]]
In this study, we delved into the curious world of surgical technologists in South Dakota and their unexpected connection to the total comments on Tom Scott's YouTube videos. Drawing data from the Bureau of Labor Statistics and YouTube archives, we applied rigorous statistical analysis to explore the relationship between these seemingly disparate variables. To our surprise, the findings revealed a striking correlation coefficient of 0.9367081 and a p-value of less than 0.01, thus demonstrating a robust association between the number of surgical technologists in South Dakota and the total comments on Tom Scott's YouTube videos from 2009 to 2022. While we initially approached this investigation with skepticism, our results suggest a compelling link that merits further investigation and may incite jovial discussions among both surgical technologists and YouTube enthusiasts alike. Our study not only sheds light on this unexpected correlation but also underscores the unanticipated interplay between obscure occupations and digital discourse in the modern era.


Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft the introduction section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the introduction section of an academic research paper presenting the findings of the connection between The number of surgical technologists in South Dakota and Total comments on Tom Scott YouTube videos. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Here is the title and abstract of the paper:
[[TITLE]]
The Scrubs and Scruples: A Statistical Analysis of Surgical Technologists in South Dakota and Their Influence on Total Comments on Tom Scott YouTube Videos

[[ABSTRACT]]
In this study, we delved into the curious world of surgical technologists in South Dakota and their unexpected connection to the total comments on Tom Scott's YouTube videos. Drawing data from the Bureau of Labor Statistics and YouTube archives, we applied rigorous statistical analysis to explore the relationship between these seemingly disparate variables. To our surprise, the findings revealed a striking correlation coefficient of 0.9367081 and a p-value of less than 0.01, thus demonstrating a robust association between the number of surgical technologists in South Dakota and the total comments on Tom Scott's YouTube videos from 2009 to 2022. While we initially approached this investigation with skepticism, our results suggest a compelling link that merits further investigation and may incite jovial discussions among both surgical technologists and YouTube enthusiasts alike. Our study not only sheds light on this unexpected correlation but also underscores the unanticipated interplay between obscure occupations and digital discourse in the modern era.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

The world of statistical analysis often leads us down unexpected paths, unveiling surprising connections and perplexing correlations. In this paper, we present a peculiar investigation into the relationship between the number of surgical technologists in South Dakota and the total comments on Tom Scott's YouTube videos. While on the surface, these two variables may appear as disparate as an appendectomy and a viral meme, our rigorous analysis has uncovered a striking association that defies conventional expectations.

Surgical technologists, the unsung heroes of the operating room, play a crucial role in ensuring the seamless execution of surgical procedures. Similarly, Tom Scott, a prominent figure in the realm of educational and entertaining online content, has amassed a vast following on YouTube, captivating audiences with his thought-provoking explorations of the world around us. The seemingly incongruous nature of these two domains makes the emergence of any relationship between them all the more intriguing.

As we venture into the realms of labor statistics and digital engagement, we stand poised to unravel a mystery that may have eluded the scholarly gaze until now. Our journey of inquiry is guided by a blend of skepticism and curiosity, with an appreciation for the inimitable irony of statistical surprises. While the convergence of surgical technologists and YouTube comments may appear enigmatic, it demands our attention and elicits a smile at the symphonic harmony of the unexpected.


Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a literature review section of an academic research paper presenting the findings of the connection between The number of surgical technologists in South Dakota and Total comments on Tom Scott YouTube videos. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Perhaps you also got inspiration from some board games that are vaugely related.

Here is the title and abstract of the paper:
[[TITLE]]
The Scrubs and Scruples: A Statistical Analysis of Surgical Technologists in South Dakota and Their Influence on Total Comments on Tom Scott YouTube Videos

[[ABSTRACT]]
In this study, we delved into the curious world of surgical technologists in South Dakota and their unexpected connection to the total comments on Tom Scott's YouTube videos. Drawing data from the Bureau of Labor Statistics and YouTube archives, we applied rigorous statistical analysis to explore the relationship between these seemingly disparate variables. To our surprise, the findings revealed a striking correlation coefficient of 0.9367081 and a p-value of less than 0.01, thus demonstrating a robust association between the number of surgical technologists in South Dakota and the total comments on Tom Scott's YouTube videos from 2009 to 2022. While we initially approached this investigation with skepticism, our results suggest a compelling link that merits further investigation and may incite jovial discussions among both surgical technologists and YouTube enthusiasts alike. Our study not only sheds light on this unexpected correlation but also underscores the unanticipated interplay between obscure occupations and digital discourse in the modern era.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The world of statistical analysis often leads us down unexpected paths, unveiling surprising connections and perplexing correlations. In this paper, we present a peculiar investigation into the relationship between the number of surgical technologists in South Dakota and the total comments on Tom Scott's YouTube videos. While on the surface, these two variables may appear as disparate as an appendectomy and a viral meme, our rigorous analysis has uncovered a striking association that defies conventional expectations.
Surgical technologists, the unsung heroes of the operating room, play a crucial role in ensuring the seamless execution of surgical procedures. Similarly, Tom Scott, a prominent figure in the realm of educational and entertaining online content, has amassed a vast following on YouTube, captivating audiences with his thought-provoking explorations of the world around us. The seemingly incongruous nature of these two domains makes the emergence of any relationship between them all the more intriguing.
As we venture into the realms of labor statistics and digital engagement, we stand poised to unravel a mystery that may have eluded the scholarly gaze until now. Our journey of inquiry is guided by a blend of skepticism and curiosity, with an appreciation for the inimitable irony of statistical surprises. While the convergence of surgical technologists and YouTube comments may appear enigmatic, it demands our attention and elicits a smile at the symphonic harmony of the unexpected.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The literature on the intersection of surgical technologists in South Dakota and the total comments on Tom Scott YouTube videos is surprisingly sparse. While conventional wisdom may suggest that these two phenomena exist in entirely separate spheres, our foray into the existing research illuminates a different perspective. Smith et al. (2017) provided an in-depth analysis of the demand for healthcare professionals in rural areas, including South Dakota, but regrettably did not delve into the potential impact of surgical technologists on digital content engagement, much to our disappointment. Similarly, Doe and Jones (2019) explored the influence of social media on public health perceptions, highlighting the power of online platforms in shaping healthcare narratives, yet left unexplored the curious interplay between surgical support staff and YouTube banter.

Turning to the broader context of occupational dynamics, "The Rise of Medical Professionals in the Midwest" by Dr. A. Parson (2015) offers valuable insights into the shifting landscape of healthcare employment, albeit without any mention of virtual interactions with prominent online educators. Moreover, "The Digital Age of Healthcare" by Dr. E. Barnes (2018) addresses the profound impact of technology on the medical field, but fails to consider the impact of surgical technologists on the comment sections of popular YouTube channels.

Venturing into the realm of fiction, "The Surgeon's Secret" by M. Nightingale and "Digital Dilemmas" by A. Algorithm (2020) may not directly address our specific inquiry, but their enthralling narratives serve as a reminder of the enigmatic connections that can emerge in seemingly unrelated domains. Furthermore, the classic board game "Operation" offers a whimsical analogy for the delicate precision required in both surgical assistance and digital discourse moderation, reminding us that unexpected parallels can lurk in the most familiar of places.



Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft the methodology section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the methodology section of an academic research paper presenting the findings of the connection between The number of surgical technologists in South Dakota and Total comments on Tom Scott YouTube videos. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from Bureau of Larbor Statistics and YouTube . You used data from 2009 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]]
The Scrubs and Scruples: A Statistical Analysis of Surgical Technologists in South Dakota and Their Influence on Total Comments on Tom Scott YouTube Videos

[[ABSTRACT]]
In this study, we delved into the curious world of surgical technologists in South Dakota and their unexpected connection to the total comments on Tom Scott's YouTube videos. Drawing data from the Bureau of Labor Statistics and YouTube archives, we applied rigorous statistical analysis to explore the relationship between these seemingly disparate variables. To our surprise, the findings revealed a striking correlation coefficient of 0.9367081 and a p-value of less than 0.01, thus demonstrating a robust association between the number of surgical technologists in South Dakota and the total comments on Tom Scott's YouTube videos from 2009 to 2022. While we initially approached this investigation with skepticism, our results suggest a compelling link that merits further investigation and may incite jovial discussions among both surgical technologists and YouTube enthusiasts alike. Our study not only sheds light on this unexpected correlation but also underscores the unanticipated interplay between obscure occupations and digital discourse in the modern era.

[[INTRODUCTION]]
The world of statistical analysis often leads us down unexpected paths, unveiling surprising connections and perplexing correlations. In this paper, we present a peculiar investigation into the relationship between the number of surgical technologists in South Dakota and the total comments on Tom Scott's YouTube videos. While on the surface, these two variables may appear as disparate as an appendectomy and a viral meme, our rigorous analysis has uncovered a striking association that defies conventional expectations.
Surgical technologists, the unsung heroes of the operating room, play a crucial role in ensuring the seamless execution of surgical procedures. Similarly, Tom Scott, a prominent figure in the realm of educational and entertaining online content, has amassed a vast following on YouTube, captivating audiences with his thought-provoking explorations of the world around us. The seemingly incongruous nature of these two domains makes the emergence of any relationship between them all the more intriguing.
As we venture into the realms of labor statistics and digital engagement, we stand poised to unravel a mystery that may have eluded the scholarly gaze until now. Our journey of inquiry is guided by a blend of skepticism and curiosity, with an appreciation for the inimitable irony of statistical surprises. While the convergence of surgical technologists and YouTube comments may appear enigmatic, it demands our attention and elicits a smile at the symphonic harmony of the unexpected.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To embark on this unlikely journey of statistical exploration, we adopted a multi-faceted approach that involved the mining of data from disparate sources, traversing through the digital archives of the Bureau of Labor Statistics and the enigmatic landscape of YouTube. Our initial steps involved accessing historical records of the number of surgical technologists employed in the state of South Dakota from 2009 to 2022. This process was akin to navigating a labyrinth of medical data, where each digit and decimal held the potential to unravel the mystery of the surgical technologist's impact.

Simultaneously, we delved into the virtual amphitheater of YouTube, where Tom Scott's incisive and intellectually titillating videos captivate audiences worldwide. Our quest involved sifting through the total comments on his vast array of uploads, revealing a rich tapestry of digital discourse that mirrored the ebb and flow of societal engagement.

After meticulously harvesting these datasets, we summoned the statistical titans of our research arsenal to wield the power of correlation analysis and regression models. The purpose was to discern potential relationships between the number of surgical technologists and the volume of comments on Tom Scott's videos. We sought to quantify the fortuitous convergence of these variables, armed with p-values, correlation coefficients, and a dash of statistical sorcery.

Perhaps the most whimsical component of our methodology involved the utilization of a top-secret algorithm, known affectionately within our research enclave as the "Techno-Commentator Index." This clandestine formula, concocted by the prodigious minds within our team, sought to encapsulate the essence of the surgical technologist's impact on the digital realm. It accounted for nuances such as the surgical specialty mix, regional idiosyncrasies, and YouTube engagement patterns, weaving them into a grand tapestry of correlation scores and grand internet theatricality. The experimenter's wink occasionally peeked through the solemn veneer of our methods, evoking a lighthearted chuckle amidst the labyrinthine corridors of academia.

As we ventured deeper into the statistical rabbit hole, we harnessed the enigmatic powers of time-series analysis to discern potential causal relationships and temporal trends. This endeavor served as a gentle but poignant reminder that not all who wander through statistical landscapes are lost, and that the peculiar hues of correlation often conceal tales of transient fascination.

Having meticulously navigated this odyssey of data sorcery and statistical musings, we arrived at the revelation of a striking correlation coefficient of 0.9367081 and a p-value less than 0.01, encapsulating the enigmatic bond between the number of surgical technologists in South Dakota and the total comments on Tom Scott's YouTube videos. This statistical odyssey, though steeped in comedy and whimsy, has unveiled a compelling tale of correlation that invites scholarly reflection and the occasional jovial nod amidst the empirical revelations.

With due reverence for the labyrinthine nature of our statistical escapades, we present these findings with the unassuming stance of data explorers, navigating the chimerical landscapes of surgical scrubs and digital scruples.


Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft the results section of an academic research paper. You speak in the past tense (you found...).
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the results section of an academic research paper presenting the findings of the connection between The number of surgical technologists in South Dakota and Total comments on Tom Scott YouTube videos. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from Bureau of Larbor Statistics and YouTube .

For the time period 2009 to 2022, you found a correlation 0.9367081, r-squared of 0.8774220, 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]]
The Scrubs and Scruples: A Statistical Analysis of Surgical Technologists in South Dakota and Their Influence on Total Comments on Tom Scott YouTube Videos

[[ABSTRACT]]
In this study, we delved into the curious world of surgical technologists in South Dakota and their unexpected connection to the total comments on Tom Scott's YouTube videos. Drawing data from the Bureau of Labor Statistics and YouTube archives, we applied rigorous statistical analysis to explore the relationship between these seemingly disparate variables. To our surprise, the findings revealed a striking correlation coefficient of 0.9367081 and a p-value of less than 0.01, thus demonstrating a robust association between the number of surgical technologists in South Dakota and the total comments on Tom Scott's YouTube videos from 2009 to 2022. While we initially approached this investigation with skepticism, our results suggest a compelling link that merits further investigation and may incite jovial discussions among both surgical technologists and YouTube enthusiasts alike. Our study not only sheds light on this unexpected correlation but also underscores the unanticipated interplay between obscure occupations and digital discourse in the modern era.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The world of statistical analysis often leads us down unexpected paths, unveiling surprising connections and perplexing correlations. In this paper, we present a peculiar investigation into the relationship between the number of surgical technologists in South Dakota and the total comments on Tom Scott's YouTube videos. While on the surface, these two variables may appear as disparate as an appendectomy and a viral meme, our rigorous analysis has uncovered a striking association that defies conventional expectations.
Surgical technologists, the unsung heroes of the operating room, play a crucial role in ensuring the seamless execution of surgical procedures. Similarly, Tom Scott, a prominent figure in the realm of educational and entertaining online content, has amassed a vast following on YouTube, captivating audiences with his thought-provoking explorations of the world around us. The seemingly incongruous nature of these two domains makes the emergence of any relationship between them all the more intriguing.
As we venture into the realms of labor statistics and digital engagement, we stand poised to unravel a mystery that may have eluded the scholarly gaze until now. Our journey of inquiry is guided by a blend of skepticism and curiosity, with an appreciation for the inimitable irony of statistical surprises. While the convergence of surgical technologists and YouTube comments may appear enigmatic, it demands our attention and elicits a smile at the symphonic harmony of the unexpected.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

RESULTS

The statistical analysis conducted on the data obtained from the Bureau of Labor Statistics and the YouTube archives yielded a correlation coefficient of 0.9367081, with an r-squared value of 0.8774220 and a p-value of less than 0.01. These remarkably robust statistical metrics indicate a remarkably strong association between the number of surgical technologists in South Dakota and the total comments on Tom Scott's YouTube videos from 2009 to 2022.

Figure 1 depicts a scatterplot illustrating this unexpected and somewhat whimsical relationship. As we contemplated this correlation, we couldn't help but marvel at the curious absurdity of it all. Who would have thought that the diligent individuals donning scrubs in South Dakota operating rooms could have an impact on the virtual musings accompanying Tom Scott's eclectic videos? It's an enigma wrapped in a statistical conundrum, all served with a side of statistical significance and a dash of bemusement.

The strength of this correlation prompts us to consider the potential implications. Could the surgical technologists in the Mount Rushmore State possess an uncanny knack for inspiring fervent online discussions, or is there an intricate web of causality at play, weaving together the worlds of surgical precision and digital discourse? One cannot help but ponder the whimsical dance of fate that interlaces these seemingly unrelated spheres.

The results of this investigation not only challenge traditional notions of correlation but also underscore the enchanting, often whimsical, surprises that statistical analysis can unveil. They raise more questions than answers and inspire us to continue exploring the myriad connections that lie beneath the surface of seemingly disparate phenomena. As the saying goes, the world of statistics is akin to a box of chocolates; you never know what bizarre correlation you're going to get.


Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the discussion section of an academic research paper presenting the findings of the connection between The number of surgical technologists in South Dakota and Total comments on Tom Scott YouTube videos. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Limit your response to 500 tokens.

Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.

Do not write a conclusion. I will add a conclusion after this.

[[TITLE]]
The Scrubs and Scruples: A Statistical Analysis of Surgical Technologists in South Dakota and Their Influence on Total Comments on Tom Scott YouTube Videos

[[ABSTRACT]]
In this study, we delved into the curious world of surgical technologists in South Dakota and their unexpected connection to the total comments on Tom Scott's YouTube videos. Drawing data from the Bureau of Labor Statistics and YouTube archives, we applied rigorous statistical analysis to explore the relationship between these seemingly disparate variables. To our surprise, the findings revealed a striking correlation coefficient of 0.9367081 and a p-value of less than 0.01, thus demonstrating a robust association between the number of surgical technologists in South Dakota and the total comments on Tom Scott's YouTube videos from 2009 to 2022. While we initially approached this investigation with skepticism, our results suggest a compelling link that merits further investigation and may incite jovial discussions among both surgical technologists and YouTube enthusiasts alike. Our study not only sheds light on this unexpected correlation but also underscores the unanticipated interplay between obscure occupations and digital discourse in the modern era.

[[LITERATURE REVIEW]]
The literature on the intersection of surgical technologists in South Dakota and the total comments on Tom Scott YouTube videos is surprisingly sparse. While conventional wisdom may suggest that these two phenomena exist in entirely separate spheres, our foray into the existing research illuminates a different perspective. Smith et al. (2017) provided an in-depth analysis of the demand for healthcare professionals in rural areas, including South Dakota, but regrettably did not delve into the potential impact of surgical technologists on digital content engagement, much to our disappointment. Similarly, Doe and Jones (2019) explored the influence of social media on public health perceptions, highlighting the power of online platforms in shaping healthcare narratives, yet left unexplored the curious interplay between surgical support staff and YouTube banter.
Turning to the broader context of occupational dynamics, "The Rise of Medical Professionals in the Midwest" by Dr. A. Parson (2015) offers valuable insights into the shifting landscape of healthcare employment, albeit without any mention of virtual interactions with prominent online educators. Moreover, "The Digital Age of Healthcare" by Dr. E. Barnes (2018) addresses the profound impact of technology on the medical field, but fails to consider the impact of surgical technologists on the comment sections of popular YouTube channels.
Venturing into the realm of fiction, "The Surgeon's Secret" by M. Nightingale and "Digital Dilemmas" by A. Algorithm (2020) may not directly address our specific inquiry, but their enthralling narratives serve as a reminder of the enigmatic connections that can emerge in seemingly unrelated domains. Furthermore, the classic board game "Operation" offers a whimsical analogy for the delicate precision required in both surgical assistance and digital discourse moderation, reminding us that unexpected parallels can lurk in the most familiar of places.


[[RESULTS]]
RESULTS
The statistical analysis conducted on the data obtained from the Bureau of Labor Statistics and the YouTube archives yielded a correlation coefficient of 0.9367081, with an r-squared value of 0.8774220 and a p-value of less than 0.01. These remarkably robust statistical metrics indicate a remarkably strong association between the number of surgical technologists in South Dakota and the total comments on Tom Scott's YouTube videos from 2009 to 2022.
Figure 1 depicts a scatterplot illustrating this unexpected and somewhat whimsical relationship. As we contemplated this correlation, we couldn't help but marvel at the curious absurdity of it all. Who would have thought that the diligent individuals donning scrubs in South Dakota operating rooms could have an impact on the virtual musings accompanying Tom Scott's eclectic videos? It's an enigma wrapped in a statistical conundrum, all served with a side of statistical significance and a dash of bemusement.
The strength of this correlation prompts us to consider the potential implications. Could the surgical technologists in the Mount Rushmore State possess an uncanny knack for inspiring fervent online discussions, or is there an intricate web of causality at play, weaving together the worlds of surgical precision and digital discourse? One cannot help but ponder the whimsical dance of fate that interlaces these seemingly unrelated spheres.
The results of this investigation not only challenge traditional notions of correlation but also underscore the enchanting, often whimsical, surprises that statistical analysis can unveil. They raise more questions than answers and inspire us to continue exploring the myriad connections that lie beneath the surface of seemingly disparate phenomena. As the saying goes, the world of statistics is akin to a box of chocolates; you never know what bizarre correlation you're going to get.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The findings of this study have shed light on a remarkably strong and unexpected association between the number of surgical technologists in South Dakota and the total comments on Tom Scott's YouTube videos. It is quite intriguing that the diligent individuals in the operating rooms of South Dakota could have such a considerable impact on the virtual interactions surrounding Tom Scott's YouTube content. Our statistical analysis yielded robust correlation coefficients and p-values, which support the validity of this seemingly whimsical relationship. These results align with the surprising nature of the literature review, where seemingly unrelated domains unexpectedly converged, evoking a "surgeon's secret" aspect to the revelation. This study adds a new layer to the complex world of correlations, serving as a quizzical reminder of the enigmatic connections that can emerge.

The high correlation coefficient and strong statistical significance imply more than just an amusing and whimsical observation. It raises questions about the nature of causality and the interplay between spheres that, on the surface, would seemingly have little to do with each other. It opens the door to a new avenue of inquiry, inviting further exploration of the potential influences and interactions between the healthcare industry and digital content engagement. Perhaps the scrubs of South Dakota hold a secret enigma, an unexpected force shaping the landscape of online discussions, much like the unpredictable nature of a game of "Operation."

As we dive deeper into this unexpected union of statistics and amusement, we are reminded of the inherent joy in discovering the unexpected. The quirks and idiosyncrasies of statistical analysis not only broaden our understanding of correlations but also serve to captivate and amuse the academic mind. In the spirit of embracing the unexpected, this study urges further investigation into the whimsical dance of fate that intertwines the seemingly unrelated professional endeavors with the virtual realms of digital engagement. After all, statistics is as unpredictable as a "box of chocolates" – a delightful and bewildering array of potential correlations that never ceases to amaze and amuse.


Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft the discussion section of goofy academic research papers that sounds like it belongs based on the title and abstract provided.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a short conclusion of an academic research paper presenting the findings of the connection between The number of surgical technologists in South Dakota and Total comments on Tom Scott YouTube videos. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
The Scrubs and Scruples: A Statistical Analysis of Surgical Technologists in South Dakota and Their Influence on Total Comments on Tom Scott YouTube Videos

[[ABSTRACT]]
In this study, we delved into the curious world of surgical technologists in South Dakota and their unexpected connection to the total comments on Tom Scott's YouTube videos. Drawing data from the Bureau of Labor Statistics and YouTube archives, we applied rigorous statistical analysis to explore the relationship between these seemingly disparate variables. To our surprise, the findings revealed a striking correlation coefficient of 0.9367081 and a p-value of less than 0.01, thus demonstrating a robust association between the number of surgical technologists in South Dakota and the total comments on Tom Scott's YouTube videos from 2009 to 2022. While we initially approached this investigation with skepticism, our results suggest a compelling link that merits further investigation and may incite jovial discussions among both surgical technologists and YouTube enthusiasts alike. Our study not only sheds light on this unexpected correlation but also underscores the unanticipated interplay between obscure occupations and digital discourse in the modern era.

[[INTRDUCTION]]
The world of statistical analysis often leads us down unexpected paths, unveiling surprising connections and perplexing correlations. In this paper, we present a peculiar investigation into the relationship between the number of surgical technologists in South Dakota and the total comments on Tom Scott's YouTube videos. While on the surface, these two variables may appear as disparate as an appendectomy and a viral meme, our rigorous analysis has uncovered a striking association that defies conventional expectations.
Surgical technologists, the unsung heroes of the operating room, play a crucial role in ensuring the seamless execution of surgical procedures. Similarly, Tom Scott, a prominent figure in the realm of educational and entertaining online content, has amassed a vast following on YouTube, captivating audiences with his thought-provoking explorations of the world around us. The seemingly incongruous nature of these two domains makes the emergence of any relationship between them all the more intriguing.
As we venture into the realms of labor statistics and digital engagement, we stand poised to unravel a mystery that may have eluded the scholarly gaze until now. Our journey of inquiry is guided by a blend of skepticism and curiosity, with an appreciation for the inimitable irony of statistical surprises. While the convergence of surgical technologists and YouTube comments may appear enigmatic, it demands our attention and elicits a smile at the symphonic harmony of the unexpected.

[[RESULTS]]
RESULTS
The statistical analysis conducted on the data obtained from the Bureau of Labor Statistics and the YouTube archives yielded a correlation coefficient of 0.9367081, with an r-squared value of 0.8774220 and a p-value of less than 0.01. These remarkably robust statistical metrics indicate a remarkably strong association between the number of surgical technologists in South Dakota and the total comments on Tom Scott's YouTube videos from 2009 to 2022.
Figure 1 depicts a scatterplot illustrating this unexpected and somewhat whimsical relationship. As we contemplated this correlation, we couldn't help but marvel at the curious absurdity of it all. Who would have thought that the diligent individuals donning scrubs in South Dakota operating rooms could have an impact on the virtual musings accompanying Tom Scott's eclectic videos? It's an enigma wrapped in a statistical conundrum, all served with a side of statistical significance and a dash of bemusement.
The strength of this correlation prompts us to consider the potential implications. Could the surgical technologists in the Mount Rushmore State possess an uncanny knack for inspiring fervent online discussions, or is there an intricate web of causality at play, weaving together the worlds of surgical precision and digital discourse? One cannot help but ponder the whimsical dance of fate that interlaces these seemingly unrelated spheres.
The results of this investigation not only challenge traditional notions of correlation but also underscore the enchanting, often whimsical, surprises that statistical analysis can unveil. They raise more questions than answers and inspire us to continue exploring the myriad connections that lie beneath the surface of seemingly disparate phenomena. As the saying goes, the world of statistics is akin to a box of chocolates; you never know what bizarre correlation you're going to get.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our investigation into the intriguing dance of digits between the number of surgical technologists in South Dakota and the total comments on Tom Scott's YouTube videos has illuminated a statistically robust and bafflingly strong correlation. While we embarked on this journey with a healthy dose of skepticism, the numbers don't lie, and they have led us to a whimsical rendezvous of two seemingly unrelated realms.

The curious interplay of these variables may prompt a thought-provoking discussion among enthusiasts of both the operating theater and the virtual stage. One might even jest that the meticulous precision of surgical technologists could well be mirrored in the meticulousness of typing out comments on a YouTube video, or ponder if indeed their presence somehow inspires engaging banter and digital discourse. The mind boggles at the potential implications and the perplexing confluence of these seemingly disparate domains.

Our research has not only unveiled this unexpected correlation but also highlighted the delightful absurdity that can stem from seemingly incongruous partnerships. As we bid adieu to this statistical escapade, we assert that further investigation in this area might risk unraveling the whimsical charm of this strange statistical waltz. Nonetheless, it leaves us with a wry smile and an appreciation for the unpredictable mysteries that statistical analysis can reveal.

Therefore, to borrow from the distilled wisdom of our findings, it seems that no further research is needed in this fascinatingly peculiar realm. We'll leave this curious correlation to simmer gently in the annals of statistical curiosities, all while enjoying the quirky dance of data that has graced our research with its enigmatic presence.


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 The Scrubs and Scruples: A Statistical Analysis of Surgical Technologists in South Dakota and Their Influence on Total Comments on Tom Scott YouTube Videos. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Quirky Sociological 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 The Scrubs and Scruples: A Statistical Analysis of Surgical Technologists in South Dakota and Their Influence on Total Comments on Tom Scott YouTube Videos. Respond only with the name of a fictional organization.

ChatGPT:

The Center for Advanced Surgical Research and Social Media Studies


Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled The Scrubs and Scruples: A Statistical Analysis of Surgical Technologists in South Dakota and Their Influence on Total Comments on Tom Scott YouTube Videos with an abstract of In this study, we delved into the curious world of surgical technologists in South Dakota and their unexpected connection to the total comments on Tom Scott's YouTube videos. Drawing data from the Bureau of Labor Statistics and YouTube archives, we applied rigorous statistical analysis to explore the relationship between these seemingly disparate variables. To our surprise, the findings revealed a striking correlation coefficient of 0.9367081 and a p-value of less than 0.01, thus demonstrating a robust association between the number of surgical technologists in South Dakota and the total comments on Tom Scott's YouTube videos from 2009 to 2022. While we initially approached this investigation with skepticism, our results suggest a compelling link that merits further investigation and may incite jovial discussions among both surgical technologists and YouTube enthusiasts alike. Our study not only sheds light on this unexpected correlation but also underscores the unanticipated interplay between obscure occupations and digital discourse in the modern era.

ChatGPT:

Surgical technologists, South Dakota, Bureau of Labor Statistics, YouTube videos, Tom Scott, statistical analysis, correlation coefficient, p-value, digital discourse, occupation influence, social media impact

*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 surgical technologists in South Dakota
Detailed data title: BLS estimate of surgical technologists in South Dakota
Source: Bureau of Larbor Statistics
See what else correlates with The number of surgical technologists in South Dakota

Total comments on Tom Scott's YouTube videos
Detailed data title: Total comments on Tom Scott YouTube videos.
Source: Tom Scott's YouTube
See what else correlates with Total comments on Tom Scott's YouTube videos

Correlation r = 0.9367081 (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 = 0.8774220 (Coefficient of determination)
This means 87.7% of the change in the one variable (i.e., Total comments on Tom Scott's YouTube videos) is predictable based on the change in the other (i.e., The number of surgical technologists in South Dakota) over the 14 years from 2009 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 8.09E-7. 0.0000008089793258486464000000
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 0.94 in 8.09E-5% of random cases. Said differently, if you correlated 1,236,126 random variables You don't actually need 1 million variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.

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

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

Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 13 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 13 because we have two variables measured over a period of 14 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.

[ 0.81, 0.98 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

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


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

Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
20092010201120122013201420152016201720182019202020212022
The number of surgical technologists in South Dakota (Surgical Technologists)430410440430480470460500540600620730590520
Total comments on Tom Scott's YouTube videos (Total comments)27514165331849566930127158113951135242143419267248208799663348274282174207




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. Confounding variable: 2020 is particularly different from the other years on this graph. Confounding variables (like global pandemics) will cause two variables to look connected when in fact a "sneaky third" variable is influencing both of them behind the scenes.
  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([430,410,440,430,480,470,460,500,540,600,620,730,590,520,])
array_2 = np.array([27514,165,331,8495,66930,127158,113951,135242,143419,267248,208799,663348,274282,174207,])
array_1_name = "The number of surgical technologists in South Dakota"
array_2_name = "Total comments on Tom Scott'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: 4540 · Black Variable ID: 14267 · Red Variable ID: 25469
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