Download png, svg
AI explanation
The more orderlies there are in Indiana, the more time they have to watch and discuss Tom Scott's videos. Their excitement and engagement then spreads to the general population, leading to an overall surge in the trendiness of Tom Scott's video titles. It's a case of contagious enthusiasm for both healthcare and YouTube education!Model: dalle-3
Prompt: Generate an image of a bustling hospital break room in Indiana where a group of orderlies are gathered around a laptop, animatedly discussing one of Tom Scott's latest YouTube video titles. The room is filled with laughter and excitement as they eagerly share their favorite parts of the video with each other. On a nearby notice board, a series of Tom Scott's video titles are pinned up, showcasing the growing trendiness and buzz surrounding his content. The orderlies' enthusiasm is contagious, and it's evident that their collective passion for Tom Scott's videos is spreading throughout the hospital, sparking a surge in interest in his educational content. The cyber art style should infuse elements of digital data streams and futuristic visual effects, creating a sense of technological energy and connectivity within the hospital break room. The colors and patterns should evoke a digital aesthetic, with intricate details representing the exchange of information and the impact of Tom Scott's educational content. The depiction should include only scenes, people, and objects, it should not include text or speech bubbles.
This image generation prompt was also generated by AI, using the following sequence:
Model: gpt-3.5-turbo-1106
System prompt: You select one of a few potential scene descriptors that seems to go along with the variables described. You respond only with the scene descriptions provided and say nothing else.
User prompt: Here are two variables: How trendy Tom Scott's YouTube video titles are and The number of orderlies in Indiana. 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: Cybernetic art Vaporwave Parallax art Surrealism Data cyber art
ChatGPT: Data cyber art
Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both How trendy Tom Scott's YouTube video titles are and The number of orderlies in Indiana, in the following situation: The more orderlies there are in Indiana, the more time they have to watch and discuss Tom Scott's videos. Their excitement and engagement then spreads to the general population, leading to an overall surge in the trendiness of Tom Scott's video titles. It's a case of contagious enthusiasm for both healthcare and YouTube education!. Keep the description simple.
ChatGPT: In a bustling hospital break room in Indiana, a group of orderlies huddle around a laptop, animatedly discussing one of Tom Scott's latest YouTube video titles. The room is filled with laughter and excitement as they eagerly share their favorite parts of the video with each other. Meanwhile, on a nearby notice board, a series of Tom Scott's video titles are pinned up, each one showcasing the growing trendiness and buzz surrounding his content. The orderlies' enthusiasm is contagious, and it's evident that their collective passion for Tom Scott's videos is spreading throughout the hospital, sparking a surge in interest in his educational content.
Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ Data cyber art ] and depicting this scene: In a bustling hospital break room in Indiana, a group of orderlies huddle around a laptop, animatedly discussing one of Tom Scott's latest YouTube video titles. The room is filled with laughter and excitement as they eagerly share their favorite parts of the video with each other. Meanwhile, on a nearby notice board, a series of Tom Scott's video titles are pinned up, each one showcasing the growing trendiness and buzz surrounding his content. The orderlies' enthusiasm is contagious, and it's evident that their collective passion for Tom Scott's videos is spreading throughout the hospital, sparking a surge in interest in his educational content. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a bustling hospital break room in Indiana where a group of orderlies are gathered around a laptop, animatedly discussing one of Tom Scott's latest YouTube video titles. The room is filled with laughter and excitement as they eagerly share their favorite parts of the video with each other. On a nearby notice board, a series of Tom Scott's video titles are pinned up, showcasing the growing trendiness and buzz surrounding his content. The orderlies' enthusiasm is contagious, and it's evident that their collective passion for Tom Scott's videos is spreading throughout the hospital, sparking a surge in interest in his educational content. The cyber art style should infuse elements of digital data streams and futuristic visual effects, creating a sense of technological energy and connectivity within the hospital break room. The colors and patterns should evoke a digital aesthetic, with intricate details representing the exchange of information and the impact of Tom Scott's educational content.
*Variations in the User Prompts from chart to chart are just the result of random number generation in Python. I wrote a few arrays of various styles and methods to ask questions to change up the results. Every time this site writes an explanation or generates an image, the script picks from each at random.
I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how increases in How trendy Tom Scott YouTube video titles are positively influenced The number of orderlies in Indiana.
AI academic paper
Tom Scott's YouTube Plot: The Correlation Between Trendy Titles and Indiana Orderlies The Journal of Internet Linguistics and Cultural Trends Jan 2024 Reminder: This paper is AI-generated. Not real! |
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 How trendy Tom Scott YouTube video titles are and The number of orderlies in Indiana. Make lots of jokes, goofy observations, and puns.
Rhyme words in the title.
Your research team used data from AI analysis of YouTube video titles and Bureau of Larbor Statistics to assess this nagging question. You found a correlation coefficient of 0.8087962 and p < 0.01 for 2012 to 2022.
Please respond in this format (replace "Lorem ipsum dolor sit" with your title and abstract)
[[TITLE]]
Lorem ipsum dolor sit
[[ABSTRACT]]
Lorem ipsum dolor sit
ChatGPT:
[[TITLE]]
Tom Scott's YouTube Plot: The Correlation Between Trendy Titles and Indiana Orderlies
[[ABSTRACT]]
In this paper, we investigate the seemingly far-fetched relationship between the linguistic trends in Tom Scott’s YouTube video titles and the employment statistics of orderlies in the state of Indiana. Using cutting-edge AI analytics, we meticulously combed through a decade of video titles to gauge their trendiness quotient, while simultaneously consulting the Bureau of Labor Statistics for orderly employment figures. Surprisingly, the data revealed a strong correlation coefficient of 0.8087962 with the probability of this connection being more than just a happenstance. Our findings challenge the conventional boundaries of data analysis and humorously suggest that perhaps the residents of Indiana are lured into orderly occupations by the allure of trendy Tom Scott video titles. This paper not only provides a quirky twist to traditional correlations but also paves the way for further investigation into the interplay of pop culture and employment choices.
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 How trendy Tom Scott YouTube video titles are and The number of orderlies in Indiana. Make lots of jokes, goofy observations, and puns.
Here is the title and abstract of the paper:
[[TITLE]]
Tom Scott's YouTube Plot: The Correlation Between Trendy Titles and Indiana Orderlies
[[ABSTRACT]]
In this paper, we investigate the seemingly far-fetched relationship between the linguistic trends in Tom Scott’s YouTube video titles and the employment statistics of orderlies in the state of Indiana. Using cutting-edge AI analytics, we meticulously combed through a decade of video titles to gauge their trendiness quotient, while simultaneously consulting the Bureau of Labor Statistics for orderly employment figures. Surprisingly, the data revealed a strong correlation coefficient of 0.8087962 with the probability of this connection being more than just a happenstance. Our findings challenge the conventional boundaries of data analysis and humorously suggest that perhaps the residents of Indiana are lured into orderly occupations by the allure of trendy Tom Scott video titles. This paper not only provides a quirky twist to traditional correlations but also paves the way for further investigation into the interplay of pop culture and employment choices.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
INTRODUCTION
When it comes to the quirky, informative, and sometimes downright bizarre world of Tom Scott's YouTube videos, one might not immediately think of its potential impact on the employment statistics of orderlies in Indiana. However, as the old saying goes, "Truth is stranger than fiction." In this paper, we delve into the peculiar relationship between the trendy linguistic style of Tom Scott's YouTube video titles and the number of orderlies employed in the Hoosier state.
As any seasoned YouTube enthusiast can attest, crafting attention-grabbing video titles is an art form in itself. Whether it's the use of emojis, alliteration, or clickbait, the goal is to entice viewers to click and watch. Conversely, the orderly career path may not conjure up images of excitement and trendiness. Yet, as we dug deeper into the data, we found an unexpectedly strong correlation that left us scratching our heads in disbelief.
Our jesting intrigue led us to one question: Could there be a subconscious allure of trendy video titles influencing the career choices of individuals in Indiana? Our findings present a comical twist on the conventional methods of correlation analysis, challenging the boundaries of what is considered a valid data relationship. In the realm of data analysis, we often aim for serious and substantial connections, but why not have a bit of fun with it? After all, who wouldn't want their job prospects to be influenced by the siren call of trendy YouTube titles?
As we embark on this whimsical journey, we hope to not only provide an unconventional but thought-provoking perspective on the interplay of pop culture and employment choices but also to infuse a dash of humor into the sometimes staid world of academic research. So buckle up, grab your popcornditioned by the allure of trendy Tom Scott video titles. This paper not only provides a quirky twist to traditional correlations but also paves the way for further investigation into the interplay of pop culture and employment choices". And remember, in the world of YouTube and orderlies, expect 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 How trendy Tom Scott YouTube video titles are and The number of orderlies in Indiana. 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 you might move on to cartoons and children's shows that you watched for research.
Here is the title and abstract of the paper:
[[TITLE]]
Tom Scott's YouTube Plot: The Correlation Between Trendy Titles and Indiana Orderlies
[[ABSTRACT]]
In this paper, we investigate the seemingly far-fetched relationship between the linguistic trends in Tom Scott’s YouTube video titles and the employment statistics of orderlies in the state of Indiana. Using cutting-edge AI analytics, we meticulously combed through a decade of video titles to gauge their trendiness quotient, while simultaneously consulting the Bureau of Labor Statistics for orderly employment figures. Surprisingly, the data revealed a strong correlation coefficient of 0.8087962 with the probability of this connection being more than just a happenstance. Our findings challenge the conventional boundaries of data analysis and humorously suggest that perhaps the residents of Indiana are lured into orderly occupations by the allure of trendy Tom Scott video titles. This paper not only provides a quirky twist to traditional correlations but also paves the way for further investigation into the interplay of pop culture and employment choices.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
INTRODUCTION
When it comes to the quirky, informative, and sometimes downright bizarre world of Tom Scott's YouTube videos, one might not immediately think of its potential impact on the employment statistics of orderlies in Indiana. However, as the old saying goes, "Truth is stranger than fiction." In this paper, we delve into the peculiar relationship between the trendy linguistic style of Tom Scott's YouTube video titles and the number of orderlies employed in the Hoosier state.
As any seasoned YouTube enthusiast can attest, crafting attention-grabbing video titles is an art form in itself. Whether it's the use of emojis, alliteration, or clickbait, the goal is to entice viewers to click and watch. Conversely, the orderly career path may not conjure up images of excitement and trendiness. Yet, as we dug deeper into the data, we found an unexpectedly strong correlation that left us scratching our heads in disbelief.
Our jesting intrigue led us to one question: Could there be a subconscious allure of trendy video titles influencing the career choices of individuals in Indiana? Our findings present a comical twist on the conventional methods of correlation analysis, challenging the boundaries of what is considered a valid data relationship. In the realm of data analysis, we often aim for serious and substantial connections, but why not have a bit of fun with it? After all, who wouldn't want their job prospects to be influenced by the siren call of trendy YouTube titles?
As we embark on this whimsical journey, we hope to not only provide an unconventional but thought-provoking perspective on the interplay of pop culture and employment choices but also to infuse a dash of humor into the sometimes staid world of academic research. So buckle up, grab your popcornditioned by the allure of trendy Tom Scott video titles. This paper not only provides a quirky twist to traditional correlations but also paves the way for further investigation into the interplay of pop culture and employment choices". And remember, in the world of YouTube and orderlies, expect the unexpected!
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
The correlation between linguistic trends in YouTube video titles and employment statistics may seem like an odd pairing, but as renowned scholars have demonstrated, sometimes the most startling connections are found in the most unexpected places. Smith (2010) delves into the influence of modern media on societal norms, shedding light on the subtle yet pervasive impact of popular culture on daily life. Doe (2012) thoroughly examines the linguistic patterns in digital media and their potential effects on decision-making processes. In a similar vein, Jones (2015) provides a comprehensive analysis of the psychological triggers behind online content consumption, highlighting the persuasive influence of catchy titles and intriguing subjects.
These seminal works lay the groundwork for our investigation, pushing the boundaries of conventional data analysis and challenging us to consider the unlikely associations that lurk within the realm of pop culture. In our quest to explore the connection between Tom Scott's YouTube video titles and the employment figures of orderlies in Indiana, we take inspiration from these pioneering studies to embark on an unorthodox and rib-tickling research journey.
Moving beyond traditional academic sources, our exploration into this unconventional correlation leads us to intriguing non-fiction works such as "Freakonomics" by Steven D. Levitt and Stephen J. Dubner, which challenges readers to uncover unexpected links in seemingly disparate phenomena. Similarly, "Eats, Shoots & Leaves" by Lynne Truss reveals the tremendous impact of punctuation and language on everyday communication, reminding us that even the slightest nuances in linguistic style can have significant repercussions.
Venturing into the realm of fiction, we draw inspiration from novels that could hypothetically explore the tantalizing relationship between trendy YouTube titles and career choices. "Brave New World" by Aldous Huxley and "1984" by George Orwell offer compelling dystopian narratives that illustrate the manipulative power of mass media and societal control. While these novels may not directly address the correlation at hand, they illuminate the potential influence of media on human behavior, sparking our imaginative study in unconventional correlations.
As we humorously navigate through the juncture of pop culture and employment choices, our academic inquiry is complemented by unexpected sources of inspiration, including classic cartoons like "Tom and Jerry" and "Scooby-Doo." These seemingly lighthearted animations provide valuable insights into the subtleties of persuasion and intrigue, compelling us to ponder the whimsical yet profound connection between trendy YouTube titles and occupational preferences.
In the spirit of embracing the unexpected, our foray into the correlation between Tom Scott's YouTube video titles and the number of orderlies employed in Indiana embarks on an unconventional and mirthful approach, challenging the conventional boundaries of data analysis and infusing a spirited essence into the academic discourse. As we delve into the humorous undercurrents of this correlation, we invite readers to join us in unraveling the peculiar allure of trendy titles and the whimsical influences that may lie beneath the surface. After all, in the world of quirky correlations, as Tom Scott himself might say, "It's more fun on the wacky side!"
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 How trendy Tom Scott YouTube video titles are and The number of orderlies in Indiana. Make lots of jokes, goofy observations, and puns.
Your research team collected data from all across the internet, but mostly just used information from AI analysis of YouTube video titles and Bureau of Larbor Statistics . You used data from 2012 to 2022
Make up the research methods you don't know. Make them a bit goofy and convoluted.
Here is the title, abstract, and introduction of the paper:
[[TITLE]]
Tom Scott's YouTube Plot: The Correlation Between Trendy Titles and Indiana Orderlies
[[ABSTRACT]]
In this paper, we investigate the seemingly far-fetched relationship between the linguistic trends in Tom Scott’s YouTube video titles and the employment statistics of orderlies in the state of Indiana. Using cutting-edge AI analytics, we meticulously combed through a decade of video titles to gauge their trendiness quotient, while simultaneously consulting the Bureau of Labor Statistics for orderly employment figures. Surprisingly, the data revealed a strong correlation coefficient of 0.8087962 with the probability of this connection being more than just a happenstance. Our findings challenge the conventional boundaries of data analysis and humorously suggest that perhaps the residents of Indiana are lured into orderly occupations by the allure of trendy Tom Scott video titles. This paper not only provides a quirky twist to traditional correlations but also paves the way for further investigation into the interplay of pop culture and employment choices.
[[INTRODUCTION]]
INTRODUCTION
When it comes to the quirky, informative, and sometimes downright bizarre world of Tom Scott's YouTube videos, one might not immediately think of its potential impact on the employment statistics of orderlies in Indiana. However, as the old saying goes, "Truth is stranger than fiction." In this paper, we delve into the peculiar relationship between the trendy linguistic style of Tom Scott's YouTube video titles and the number of orderlies employed in the Hoosier state.
As any seasoned YouTube enthusiast can attest, crafting attention-grabbing video titles is an art form in itself. Whether it's the use of emojis, alliteration, or clickbait, the goal is to entice viewers to click and watch. Conversely, the orderly career path may not conjure up images of excitement and trendiness. Yet, as we dug deeper into the data, we found an unexpectedly strong correlation that left us scratching our heads in disbelief.
Our jesting intrigue led us to one question: Could there be a subconscious allure of trendy video titles influencing the career choices of individuals in Indiana? Our findings present a comical twist on the conventional methods of correlation analysis, challenging the boundaries of what is considered a valid data relationship. In the realm of data analysis, we often aim for serious and substantial connections, but why not have a bit of fun with it? After all, who wouldn't want their job prospects to be influenced by the siren call of trendy YouTube titles?
As we embark on this whimsical journey, we hope to not only provide an unconventional but thought-provoking perspective on the interplay of pop culture and employment choices but also to infuse a dash of humor into the sometimes staid world of academic research. So buckle up, grab your popcornditioned by the allure of trendy Tom Scott video titles. This paper not only provides a quirky twist to traditional correlations but also paves the way for further investigation into the interplay of pop culture and employment choices". And remember, in the world of YouTube and orderlies, expect the unexpected!
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
Now, let's get into the nitty-gritty of how we conjured up this concoction of whimsy and statistical sorcery.
First and foremost, our intrepid team of researchers embarked on a quest to wrangle and categorize a decade's worth of Tom Scott's YouTube video titles. Equipped with cutting-edge AI analytics and an ample supply of caffeinated beverages, we diligently combed through this treasure trove of linguistic artistry. The goal: to distill the essence of trendiness from the intricacies of "How To Make a Video Essay," "Why Last Place Is Protected in Major Motorsport," and the like. We categorized these titles based on the presence of buzzwords, pithy phrases, and tantalizing clickbait elements, all so we could quantify their trendiness quotient - because why not add a touch of pizzazz to statistics?
Simultaneously, our trusty Bureau of Labor Statistics became our steadfast companion as we dove into the employment figures of orderlies in the great state of Indiana. Armed with spreadsheets and an abiding respect for the unsung heroes of healthcare, we meticulously charted the rise and fall of orderly employment from 2012 to 2022. Our diligent pursuit of this data was nothing short of an orderly endeavor in itself, always ensuring that every T was crossed and every i was dotted, much like the meticulous nature of, you guessed it, an orderly's duties.
Once both datasets were lovingly gathered, we then performed a dance of statistical analysis, culminating in the formation of a correlation coefficient that revealed quite the unexpected connection between Tom Scott's linguistic antics and the orderly occupation trends in Indiana. Donning our finest knightly armors emblazoned with p-values and confidence intervals, we proudly present to you the results of this whimsically convoluted yet profoundly intriguing study.
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 How trendy Tom Scott YouTube video titles are and The number of orderlies in Indiana. Make lots of jokes, goofy observations, and puns.
Your research team collected data from all across the internet, but mostly just used information from AI analysis of YouTube video titles and Bureau of Larbor Statistics .
For the time period 2012 to 2022, you found a correlation 0.8087962, r-squared of 0.6541513, 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]]
Tom Scott's YouTube Plot: The Correlation Between Trendy Titles and Indiana Orderlies
[[ABSTRACT]]
In this paper, we investigate the seemingly far-fetched relationship between the linguistic trends in Tom Scott’s YouTube video titles and the employment statistics of orderlies in the state of Indiana. Using cutting-edge AI analytics, we meticulously combed through a decade of video titles to gauge their trendiness quotient, while simultaneously consulting the Bureau of Labor Statistics for orderly employment figures. Surprisingly, the data revealed a strong correlation coefficient of 0.8087962 with the probability of this connection being more than just a happenstance. Our findings challenge the conventional boundaries of data analysis and humorously suggest that perhaps the residents of Indiana are lured into orderly occupations by the allure of trendy Tom Scott video titles. This paper not only provides a quirky twist to traditional correlations but also paves the way for further investigation into the interplay of pop culture and employment choices.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
INTRODUCTION
When it comes to the quirky, informative, and sometimes downright bizarre world of Tom Scott's YouTube videos, one might not immediately think of its potential impact on the employment statistics of orderlies in Indiana. However, as the old saying goes, "Truth is stranger than fiction." In this paper, we delve into the peculiar relationship between the trendy linguistic style of Tom Scott's YouTube video titles and the number of orderlies employed in the Hoosier state.
As any seasoned YouTube enthusiast can attest, crafting attention-grabbing video titles is an art form in itself. Whether it's the use of emojis, alliteration, or clickbait, the goal is to entice viewers to click and watch. Conversely, the orderly career path may not conjure up images of excitement and trendiness. Yet, as we dug deeper into the data, we found an unexpectedly strong correlation that left us scratching our heads in disbelief.
Our jesting intrigue led us to one question: Could there be a subconscious allure of trendy video titles influencing the career choices of individuals in Indiana? Our findings present a comical twist on the conventional methods of correlation analysis, challenging the boundaries of what is considered a valid data relationship. In the realm of data analysis, we often aim for serious and substantial connections, but why not have a bit of fun with it? After all, who wouldn't want their job prospects to be influenced by the siren call of trendy YouTube titles?
As we embark on this whimsical journey, we hope to not only provide an unconventional but thought-provoking perspective on the interplay of pop culture and employment choices but also to infuse a dash of humor into the sometimes staid world of academic research. So buckle up, grab your popcornditioned by the allure of trendy Tom Scott video titles. This paper not only provides a quirky twist to traditional correlations but also paves the way for further investigation into the interplay of pop culture and employment choices". And remember, in the world of YouTube and orderlies, expect the unexpected!
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The analysis of a decade’s worth of Tom Scott’s YouTube video titles and employment figures of orderlies in Indiana yielded a surprising and robust correlation coefficient of 0.8087962, indicating a strong positive relationship between the two variables. This eyebrow-raising discovery suggests that there might be more to these seemingly unrelated domains than meets the eye – or the title, in this case! The p-value being less than 0.01 further solidifies the statistical significance of our findings, debunking any skepticism around this peculiar correlation.
Figure 1 illustrates the scatterplot, showcasing the clear upward trend in the number of orderlies as the trendiness quotient of Tom Scott’s video titles increases. It seems that the allure of trendy, click-worthy titles may be playing a behind-the-scenes role in the occupational choices of individuals in the Hoosier state. Who would have thought that linguistic trends in YouTube video titles could have such an impact on career decisions in Indiana? Certainly not us!
These findings not only challenge traditional notions of data correlations but also infuse a lighthearted and playful element into the typically serious realm of academic research. While our results may prompt a chuckle or two, they also beckon further investigation into the intricacies of how pop culture influences employment choices. It’s a quirky twist on the conventional, and we’re here for it!
In conclusion, this unexpected correlation sheds light on the whimsical ways in which seemingly unrelated factors can intertwine. It also serves as a whimsically useful reminder: when it comes to data analysis, expect the unexpected!
And remember, in the world of YouTube and orderlies, expect the unexpected!
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 How trendy Tom Scott YouTube video titles are and The number of orderlies in Indiana. 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]]
Tom Scott's YouTube Plot: The Correlation Between Trendy Titles and Indiana Orderlies
[[ABSTRACT]]
In this paper, we investigate the seemingly far-fetched relationship between the linguistic trends in Tom Scott’s YouTube video titles and the employment statistics of orderlies in the state of Indiana. Using cutting-edge AI analytics, we meticulously combed through a decade of video titles to gauge their trendiness quotient, while simultaneously consulting the Bureau of Labor Statistics for orderly employment figures. Surprisingly, the data revealed a strong correlation coefficient of 0.8087962 with the probability of this connection being more than just a happenstance. Our findings challenge the conventional boundaries of data analysis and humorously suggest that perhaps the residents of Indiana are lured into orderly occupations by the allure of trendy Tom Scott video titles. This paper not only provides a quirky twist to traditional correlations but also paves the way for further investigation into the interplay of pop culture and employment choices.
[[LITERATURE REVIEW]]
The correlation between linguistic trends in YouTube video titles and employment statistics may seem like an odd pairing, but as renowned scholars have demonstrated, sometimes the most startling connections are found in the most unexpected places. Smith (2010) delves into the influence of modern media on societal norms, shedding light on the subtle yet pervasive impact of popular culture on daily life. Doe (2012) thoroughly examines the linguistic patterns in digital media and their potential effects on decision-making processes. In a similar vein, Jones (2015) provides a comprehensive analysis of the psychological triggers behind online content consumption, highlighting the persuasive influence of catchy titles and intriguing subjects.
These seminal works lay the groundwork for our investigation, pushing the boundaries of conventional data analysis and challenging us to consider the unlikely associations that lurk within the realm of pop culture. In our quest to explore the connection between Tom Scott's YouTube video titles and the employment figures of orderlies in Indiana, we take inspiration from these pioneering studies to embark on an unorthodox and rib-tickling research journey.
Moving beyond traditional academic sources, our exploration into this unconventional correlation leads us to intriguing non-fiction works such as "Freakonomics" by Steven D. Levitt and Stephen J. Dubner, which challenges readers to uncover unexpected links in seemingly disparate phenomena. Similarly, "Eats, Shoots & Leaves" by Lynne Truss reveals the tremendous impact of punctuation and language on everyday communication, reminding us that even the slightest nuances in linguistic style can have significant repercussions.
Venturing into the realm of fiction, we draw inspiration from novels that could hypothetically explore the tantalizing relationship between trendy YouTube titles and career choices. "Brave New World" by Aldous Huxley and "1984" by George Orwell offer compelling dystopian narratives that illustrate the manipulative power of mass media and societal control. While these novels may not directly address the correlation at hand, they illuminate the potential influence of media on human behavior, sparking our imaginative study in unconventional correlations.
As we humorously navigate through the juncture of pop culture and employment choices, our academic inquiry is complemented by unexpected sources of inspiration, including classic cartoons like "Tom and Jerry" and "Scooby-Doo." These seemingly lighthearted animations provide valuable insights into the subtleties of persuasion and intrigue, compelling us to ponder the whimsical yet profound connection between trendy YouTube titles and occupational preferences.
In the spirit of embracing the unexpected, our foray into the correlation between Tom Scott's YouTube video titles and the number of orderlies employed in Indiana embarks on an unconventional and mirthful approach, challenging the conventional boundaries of data analysis and infusing a spirited essence into the academic discourse. As we delve into the humorous undercurrents of this correlation, we invite readers to join us in unraveling the peculiar allure of trendy titles and the whimsical influences that may lie beneath the surface. After all, in the world of quirky correlations, as Tom Scott himself might say, "It's more fun on the wacky side!"
[[RESULTS]]
The analysis of a decade’s worth of Tom Scott’s YouTube video titles and employment figures of orderlies in Indiana yielded a surprising and robust correlation coefficient of 0.8087962, indicating a strong positive relationship between the two variables. This eyebrow-raising discovery suggests that there might be more to these seemingly unrelated domains than meets the eye – or the title, in this case! The p-value being less than 0.01 further solidifies the statistical significance of our findings, debunking any skepticism around this peculiar correlation.
Figure 1 illustrates the scatterplot, showcasing the clear upward trend in the number of orderlies as the trendiness quotient of Tom Scott’s video titles increases. It seems that the allure of trendy, click-worthy titles may be playing a behind-the-scenes role in the occupational choices of individuals in the Hoosier state. Who would have thought that linguistic trends in YouTube video titles could have such an impact on career decisions in Indiana? Certainly not us!
These findings not only challenge traditional notions of data correlations but also infuse a lighthearted and playful element into the typically serious realm of academic research. While our results may prompt a chuckle or two, they also beckon further investigation into the intricacies of how pop culture influences employment choices. It’s a quirky twist on the conventional, and we’re here for it!
In conclusion, this unexpected correlation sheds light on the whimsical ways in which seemingly unrelated factors can intertwine. It also serves as a whimsically useful reminder: when it comes to data analysis, expect the unexpected!
And remember, in the world of YouTube and orderlies, expect the unexpected!
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
Our results provide compelling support for the quirky yet surprisingly strong correlation between the trendiness of Tom Scott's YouTube video titles and the number of orderlies employed in Indiana. The statistical significance of the correlation coefficient signifies that there is more to this connection than mere coincidence. While this finding may seem like a whimsical observation at first glance, it resonates with the unconventional insights gleaned from prior research.
The literature review illuminated the potential impact of modern media on decision-making processes, with Doe (2012) and Jones (2015) pioneering the investigation of linguistic patterns in digital media and their influence on human behavior. These studies, though not directly related to our investigation, paved the way for our exploration into unlikely correlations that transcend the boundaries of conventional data analysis. The unexpected connections highlighted in these works align with our peculiar yet statistically significant findings, underscoring the influence of pop culture on societal decisions.
Furthermore, the exploration into non-traditional sources of inspiration revealed the tantalizing narrative potential and the subtle nuances of persuasion present in classic literature and cartoons. While these sources may have been approached humorously, they offered invaluable insights into the profound impact of media and linguistic style. In a similar fashion, our study embraces the lighthearted and playful essence of the correlation between trendy YouTube titles and occupational preferences, calling for a renewed perspective in the exploration of seemingly unrelated phenomena.
The surprising correlation coefficient of 0.8087962 and the definitive scatterplot trends corroborate the unforeseen influence of trendy titles on career choices in Indiana. These results underscore the need to delve into the whimsically unexpected intersections of pop culture and societal dynamics and encourage further investigations into the impact of catchy content on employment patterns. Ultimately, our findings transcend the comical veil of pop culture correlation, challenging traditional academic discourse to welcome the unexpected with open arms and a chuckle or two.
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 How trendy Tom Scott YouTube video titles are and The number of orderlies in Indiana. 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]]
Tom Scott's YouTube Plot: The Correlation Between Trendy Titles and Indiana Orderlies
[[ABSTRACT]]
In this paper, we investigate the seemingly far-fetched relationship between the linguistic trends in Tom Scott’s YouTube video titles and the employment statistics of orderlies in the state of Indiana. Using cutting-edge AI analytics, we meticulously combed through a decade of video titles to gauge their trendiness quotient, while simultaneously consulting the Bureau of Labor Statistics for orderly employment figures. Surprisingly, the data revealed a strong correlation coefficient of 0.8087962 with the probability of this connection being more than just a happenstance. Our findings challenge the conventional boundaries of data analysis and humorously suggest that perhaps the residents of Indiana are lured into orderly occupations by the allure of trendy Tom Scott video titles. This paper not only provides a quirky twist to traditional correlations but also paves the way for further investigation into the interplay of pop culture and employment choices.
[[INTRDUCTION]]
INTRODUCTION
When it comes to the quirky, informative, and sometimes downright bizarre world of Tom Scott's YouTube videos, one might not immediately think of its potential impact on the employment statistics of orderlies in Indiana. However, as the old saying goes, "Truth is stranger than fiction." In this paper, we delve into the peculiar relationship between the trendy linguistic style of Tom Scott's YouTube video titles and the number of orderlies employed in the Hoosier state.
As any seasoned YouTube enthusiast can attest, crafting attention-grabbing video titles is an art form in itself. Whether it's the use of emojis, alliteration, or clickbait, the goal is to entice viewers to click and watch. Conversely, the orderly career path may not conjure up images of excitement and trendiness. Yet, as we dug deeper into the data, we found an unexpectedly strong correlation that left us scratching our heads in disbelief.
Our jesting intrigue led us to one question: Could there be a subconscious allure of trendy video titles influencing the career choices of individuals in Indiana? Our findings present a comical twist on the conventional methods of correlation analysis, challenging the boundaries of what is considered a valid data relationship. In the realm of data analysis, we often aim for serious and substantial connections, but why not have a bit of fun with it? After all, who wouldn't want their job prospects to be influenced by the siren call of trendy YouTube titles?
As we embark on this whimsical journey, we hope to not only provide an unconventional but thought-provoking perspective on the interplay of pop culture and employment choices but also to infuse a dash of humor into the sometimes staid world of academic research. So buckle up, grab your popcornditioned by the allure of trendy Tom Scott video titles. This paper not only provides a quirky twist to traditional correlations but also paves the way for further investigation into the interplay of pop culture and employment choices". And remember, in the world of YouTube and orderlies, expect the unexpected!
[[RESULTS]]
The analysis of a decade’s worth of Tom Scott’s YouTube video titles and employment figures of orderlies in Indiana yielded a surprising and robust correlation coefficient of 0.8087962, indicating a strong positive relationship between the two variables. This eyebrow-raising discovery suggests that there might be more to these seemingly unrelated domains than meets the eye – or the title, in this case! The p-value being less than 0.01 further solidifies the statistical significance of our findings, debunking any skepticism around this peculiar correlation.
Figure 1 illustrates the scatterplot, showcasing the clear upward trend in the number of orderlies as the trendiness quotient of Tom Scott’s video titles increases. It seems that the allure of trendy, click-worthy titles may be playing a behind-the-scenes role in the occupational choices of individuals in the Hoosier state. Who would have thought that linguistic trends in YouTube video titles could have such an impact on career decisions in Indiana? Certainly not us!
These findings not only challenge traditional notions of data correlations but also infuse a lighthearted and playful element into the typically serious realm of academic research. While our results may prompt a chuckle or two, they also beckon further investigation into the intricacies of how pop culture influences employment choices. It’s a quirky twist on the conventional, and we’re here for it!
In conclusion, this unexpected correlation sheds light on the whimsical ways in which seemingly unrelated factors can intertwine. It also serves as a whimsically useful reminder: when it comes to data analysis, expect the unexpected!
And remember, in the world of YouTube and orderlies, expect the unexpected!
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
As we wrap up our investigation into the connection between Tom Scott's trendy YouTube video titles and the number of orderlies in Indiana, we are left with a perplexing yet humorously enlightening correlation. It seems that the Hoosier state might just have a soft spot for irresistible titles, and who can blame them? After all, who wouldn't want to be lured into a career by the alluring siren call of a trendy YouTube video title?
While our findings might have raised a few eyebrows and prompted a chuckle or two, they also serve as a whimsically useful reminder that in the world of data analysis, the unexpected can often be a delightful surprise. This correlation may just be the tip of the iceberg in uncovering the playful interplay between pop culture and employment choices, leaving us with more questions than answers – but that's all part of the fun, isn't it?
Alas, as much as we'd love to embark on further quirky investigations into the whimsical world of YouTube and orderlies, we must bid adieu to this peculiar correlation. For now, it seems that this hilariously unexpected connection has given us enough food for thought. So, fellow researchers, it's time to click "pause" on this comical correlation and move on to the next whimsical adventure in academia. No more research is needed in this area! Keep calm and carry on, but don't forget to expect the unexpected!
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 Tom Scott's YouTube Plot: The Correlation Between Trendy Titles and Indiana Orderlies. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Internet Linguistics and Cultural Trends
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 Tom Scott's YouTube Plot: The Correlation Between Trendy Titles and Indiana Orderlies. Respond only with the name of a fictional organization.
ChatGPT:
The Institute for Silly 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 Tom Scott's YouTube Plot: The Correlation Between Trendy Titles and Indiana Orderlies with an abstract of In this paper, we investigate the seemingly far-fetched relationship between the linguistic trends in Tom Scott’s YouTube video titles and the employment statistics of orderlies in the state of Indiana. Using cutting-edge AI analytics, we meticulously combed through a decade of video titles to gauge their trendiness quotient, while simultaneously consulting the Bureau of Labor Statistics for orderly employment figures. Surprisingly, the data revealed a strong correlation coefficient of 0.8087962 with the probability of this connection being more than just a happenstance. Our findings challenge the conventional boundaries of data analysis and humorously suggest that perhaps the residents of Indiana are lured into orderly occupations by the allure of trendy Tom Scott video titles. This paper not only provides a quirky twist to traditional correlations but also paves the way for further investigation into the interplay of pop culture and employment choices.
ChatGPT:
Tom Scott, YouTube, video titles, linguistic trends, employment statistics, orderlies, Indiana, AI analytics, Bureau of Labor Statistics, correlation coefficient, data analysis, humor, pop culture, employment choices
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
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Data details
How trendy Tom Scott's YouTube video titles areDetailed data title: How trendy Tom Scott YouTube video titles are, as rated by an AI.
Source: AI analysis of Tom Scott's YouTube video titles
Additional Info: I asked a large language model, 'On a scale of 1-10, how _______ do you think this YouTube video title is?' for every video.
See what else correlates with How trendy Tom Scott's YouTube video titles are
The number of orderlies in Indiana
Detailed data title: BLS estimate of orderlies in Indiana
Source: Bureau of Larbor Statistics
See what else correlates with The number of orderlies in Indiana
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 = 0.6541513 (Coefficient of determination)
This means 65.4% of the change in the one variable (i.e., The number of orderlies in Indiana) is predictable based on the change in the other (i.e., How trendy Tom Scott's YouTube video titles are) over the 11 years from 2012 through 2022.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.0026. 0.0025752321579955895000000000
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 0.81 in 0.26% of random cases. Said differently, if you correlated 388 random variables Which I absolutely did.
with the same 10 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 10 because we have two variables measured over a period of 11 years. It's just the number of years minus ( the number of variables minus one ), which in this case simplifies to the number of years minus one.
you would randomly expect to find a correlation as strong as this one.
[ 0.41, 0.95 ] 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.
2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | |
How trendy Tom Scott's YouTube video titles are (Trendiness score) | 6.0833 | 6.5217 | 6 | 6.2051 | 5.9639 | 6.3492 | 6.0469 | 6.2542 | 6.3036 | 6.0588 | 6.0192 |
The number of orderlies in Indiana (Orderlies) | 1360 | 1810 | 1480 | 1530 | 1220 | 1750 | 1580 | 1680 | 1460 | 1290 | 1200 |
Why this works
- Data dredging: I have 25,237 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 636,906,169 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
- Lack of causal connection: There is probably
Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied. - Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple
Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is.
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([6.0833,6.5217,6,6.2051,5.9639,6.3492,6.0469,6.2542,6.3036,6.0588,6.0192,])
array_2 = np.array([1360,1810,1480,1530,1220,1750,1580,1680,1460,1290,1200,])
array_1_name = "How trendy Tom Scott's YouTube video titles are"
array_2_name = "The number of orderlies in Indiana"
# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)
# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)
Reuseable content
You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.
For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."
When spoken, my last name is pronounced "vegan," like I don't eat meat.
Full license details.
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Download images for these variables:
- High resolution line chart
The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.
If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.
Alternatively you can use a tool like Inkscape. - High resolution line chart, optimized for mobile
- Alternative high resolution line chart
- Scatterplot
- Portable line chart (png)
- Portable line chart (png), optimized for mobile
- Line chart for only How trendy Tom Scott's YouTube video titles are
- Line chart for only The number of orderlies in Indiana
- AI-generated correlation image
- The spurious research paper: Tom Scott's YouTube Plot: The Correlation Between Trendy Titles and Indiana Orderlies
Thanks for shining a light on this correlation!
Correlation ID: 5500 · Black Variable ID: 25463 · Red Variable ID: 19067