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Spurious correlation #4,335 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is How trendy AsapSCIENCE YouTube video titles are and the second variable is The number of garbage collectors in Mississippi.  The chart goes from 2012 to 2022, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

As the number of garbage collectors in Mississippi increases, so does the amount of trash being collected. This in turn leads to a greater production of methane gas as the organic waste decomposes in landfills. The increased methane levels then somehow trigger a chain reaction that culminates in the alteration of the collective consciousness, resulting in a sudden shift towards finding science-based content more appealing, including the trendy titles of AsapSCIENCE videos. Who knew that the key to internet trends lay in the garbage collection industry of Mississippi? It's like a domino effect of cultural relevance stemming from the most unlikely of sources!

Model: dalle-3
Prompt: Generate an image of a serene Mississippi town bathed in the warm glow of the setting sun, with rolling hills in the background. In the foreground, show garbage collectors diligently emptying bins filled with organic waste, as their collection trucks come and go. Meanwhile, depict an intriguing chain reaction occurring, as if invisible pulses of energy or light connect the garbage collectors to various homes across the town. Inside the homes, portray digital devices displaying captivating AsapSCIENCE video titles with trendy topics, trending in search and recommendation algorithms, capturing the population's attention with science-based content. The overall image should evoke a sense of charm, community, and the unexpected intersection of everyday life with high-tech trends. 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 AsapSCIENCE YouTube video titles are and The number of garbage collectors in Mississippi. 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: Celtic art Cybernetic art Cute 2D animation Oragami High-tech
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 How trendy AsapSCIENCE YouTube video titles are and The number of garbage collectors in Mississippi, in the following situation: As the number of garbage collectors in Mississippi increases, so does the amount of trash being collected. This in turn leads to a greater production of methane gas as the organic waste decomposes in landfills. The increased methane levels then somehow trigger a chain reaction that culminates in the alteration of the collective consciousness, resulting in a sudden shift towards finding science-based content more appealing, including the trendy titles of AsapSCIENCE videos. Who knew that the key to internet trends lay in the garbage collection industry of Mississippi? It's like a domino effect of cultural relevance stemming from the most unlikely of sources!. Keep the description simple.
ChatGPT: In a charming Mississippi town, an increasing number of garbage collectors diligently empty bins filled with organic waste, all while the sun sets behind the rolling hills. As the collection trucks come and go, a hidden chain reaction occurs. Suddenly, in homes across the town, AsapSCIENCE video titles with trendy topics begin to trend in search and recommendation algorithms, captivating the population with science-based 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: [ High-tech ] and depicting this scene: In a charming Mississippi town, an increasing number of garbage collectors diligently empty bins filled with organic waste, all while the sun sets behind the rolling hills. As the collection trucks come and go, a hidden chain reaction occurs. Suddenly, in homes across the town, AsapSCIENCE video titles with trendy topics begin to trend in search and recommendation algorithms, captivating the population with science-based content. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a serene Mississippi town bathed in the warm glow of the setting sun, with rolling hills in the background. In the foreground, show garbage collectors diligently emptying bins filled with organic waste, as their collection trucks come and go. Meanwhile, depict an intriguing chain reaction occurring, as if invisible pulses of energy or light connect the garbage collectors to various homes across the town. Inside the homes, portray digital devices displaying captivating AsapSCIENCE video titles with trendy topics, trending in search and recommendation algorithms, capturing the population's attention with science-based content. The overall image should evoke a sense of charm, community, and the unexpected intersection of everyday life with high-tech trends.

*Variations in the User Prompts from chart to chart are just the result of random number generation in Python. I wrote a few arrays of various styles and methods to ask questions to change up the results. Every time this site writes an explanation or generates an image, the script picks from each at random.

I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.

Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in How trendy AsapSCIENCE YouTube video titles are caused The number of garbage collectors in Mississippi to increase.\Make it sound serious until the end.

AI academic paper

(Because p < 0.01)
Waste Not, Want Not: A Correlational Examination of AsapSCIENCE Video Titles Trends and Garbage Collector Employment in Mississippi

The Journal of Quirky Social Science Research

Jan 2024

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




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

Please draft the title and abstract of an academic research paper presenting the findings of the connection between How trendy AsapSCIENCE YouTube video titles are and The number of garbage collectors in Mississippi. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Include a pun 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 0.8792323 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]]
"Waste Not, Want Not: A Correlational Examination of AsapSCIENCE Video Titles Trends and Garbage Collector Employment in Mississippi"

[[ABSTRACT]]
This study investigates the potential connection between the trending nature of AsapSCIENCE YouTube video titles and the employment levels of garbage collectors in the state of Mississippi. Leveraging data obtained from AI analysis of YouTube video titles and the Bureau of Labor Statistics, a correlation coefficient of 0.8792323 and a p-value less than 0.01 were observed for the period spanning 2012 to 2022. The findings suggest a substantive and statistically significant relationship between these two seemingly unrelated variables. The implications of these findings warrant further investigation and consideration of the potential influence of popular science content on waste management professions.


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

Please make up the introduction section of an academic research paper presenting the findings of the connection between How trendy AsapSCIENCE YouTube video titles are and The number of garbage collectors in Mississippi. 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]]
"Waste Not, Want Not: A Correlational Examination of AsapSCIENCE Video Titles Trends and Garbage Collector Employment in Mississippi"

[[ABSTRACT]]
This study investigates the potential connection between the trending nature of AsapSCIENCE YouTube video titles and the employment levels of garbage collectors in the state of Mississippi. Leveraging data obtained from AI analysis of YouTube video titles and the Bureau of Labor Statistics, a correlation coefficient of 0.8792323 and a p-value less than 0.01 were observed for the period spanning 2012 to 2022. The findings suggest a substantive and statistically significant relationship between these two seemingly unrelated variables. The implications of these findings warrant further investigation and consideration of the potential influence of popular science content on waste management professions.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

The association between seemingly unrelated phenomena has long intrigued researchers across various disciplines. While the correlation between AsapSCIENCE YouTube video titles and the employment status of garbage collectors in Mississippi may seem whimsical at first glance, the potential links between popular science content trends and trends in waste management professions are not to be dismissed lightly. This study seeks to explore the unconventional idea that the linguistic and topical peculiarities of scientific video titles may have a discernible impact on the employment rates within the waste management sector.

In recent years, the proliferation of digital media and its impact on societal trends and behaviors has garnered considerable attention in both academic and popular discourse. AsapSCIENCE, a popular YouTube channel known for its engaging and informative science-related content, offers an interesting case study for understanding the potential intersection of digital media trends and employment patterns. Our focus on Mississippi's garbage collector employment specifically is not arbitrary; rather, it serves as a microcosm through which broader trends in waste management occupations can be discerned.

It is imperative to approach this investigation with an open mind, recognizing the potential for unexpected relationships to emerge from the data. In the pursuit of scientific inquiry, even the most unconventional hypotheses deserve consideration and rigorous examination. Thus, we embark upon this study with the intent to shed light on the entangled web of cultural, economic, and vocational dynamics that may underpin the correlation between popular science video titles and the labor force in waste management. Let us delve into the data-driven exploration of this curious juxtaposition, mindful of the adage that "one person's trash is another person's treasure."


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

Please make up a literature review section of an academic research paper presenting the findings of the connection between How trendy AsapSCIENCE YouTube video titles are and The number of garbage collectors in Mississippi. 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. Then name a couple popular internet memes that are related to one of the topics.

Here is the title and abstract of the paper:
[[TITLE]]
"Waste Not, Want Not: A Correlational Examination of AsapSCIENCE Video Titles Trends and Garbage Collector Employment in Mississippi"

[[ABSTRACT]]
This study investigates the potential connection between the trending nature of AsapSCIENCE YouTube video titles and the employment levels of garbage collectors in the state of Mississippi. Leveraging data obtained from AI analysis of YouTube video titles and the Bureau of Labor Statistics, a correlation coefficient of 0.8792323 and a p-value less than 0.01 were observed for the period spanning 2012 to 2022. The findings suggest a substantive and statistically significant relationship between these two seemingly unrelated variables. The implications of these findings warrant further investigation and consideration of the potential influence of popular science content on waste management professions.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The association between seemingly unrelated phenomena has long intrigued researchers across various disciplines. While the correlation between AsapSCIENCE YouTube video titles and the employment status of garbage collectors in Mississippi may seem whimsical at first glance, the potential links between popular science content trends and trends in waste management professions are not to be dismissed lightly. This study seeks to explore the unconventional idea that the linguistic and topical peculiarities of scientific video titles may have a discernible impact on the employment rates within the waste management sector.
In recent years, the proliferation of digital media and its impact on societal trends and behaviors has garnered considerable attention in both academic and popular discourse. AsapSCIENCE, a popular YouTube channel known for its engaging and informative science-related content, offers an interesting case study for understanding the potential intersection of digital media trends and employment patterns. Our focus on Mississippi's garbage collector employment specifically is not arbitrary; rather, it serves as a microcosm through which broader trends in waste management occupations can be discerned.
It is imperative to approach this investigation with an open mind, recognizing the potential for unexpected relationships to emerge from the data. In the pursuit of scientific inquiry, even the most unconventional hypotheses deserve consideration and rigorous examination. Thus, we embark upon this study with the intent to shed light on the entangled web of cultural, economic, and vocational dynamics that may underpin the correlation between popular science video titles and the labor force in waste management. Let us delve into the data-driven exploration of this curious juxtaposition, mindful of the adage that "one person's trash is another person's treasure."

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The literature exploring the confluence of seemingly incongruous topics, namely AsapSCIENCE YouTube video titles and garbage collector employment in Mississippi, is a burgeoning field that defies traditional academic boundaries. Smith et al. (2017) conducted a seminal study that delved into the psychological impact of viral video titles on engagement levels, setting the stage for the examination of how such trends might extend into the realm of vocational choices. Building upon Smith's foundation, Doe and Jones (2019) explored the linguistic nuances of digital media headlines and their potential influence on labor market dynamics, pointing to the subtle yet influential power of language in shaping occupational preferences.

Moving beyond the immediate scope of occupational studies, Lorem and Ipsum (2015) contributed to the broader conversation by investigating the socioeconomic consequences of digital media trends, though their inquiry did not explicitly consider the specific context of waste management employment. Nevertheless, their work serves as a thought-provoking backdrop to our investigation, urging us to consider the multifaceted impact of trending online content on various aspects of society.

In parallel, an exploration of real-world case studies sheds light on the intricate relationship between digital media trends and long-established professions. For instance, "Waste Not, Want Not: The Economic Principles of Waste Management" (Johnson, 2020) offers a comprehensive analysis of waste management practices, though regrettably without an explicit reference to AsapSCIENCE video titles. Similarly, "Trash Talk: A Garbage Collector's Memoir" (Gonzalez, 2018) presents a captivating personal narrative within the waste management industry, although devoid of any direct correlation with digital media trends.

Furthermore, the interplay of fiction and reality is not to be discounted in this context, as seen in "The Waste Wizard Chronicles" (Rowling, 2016), a literary series that intertwines elements of waste management with magical realism, albeit lacking a direct link to YouTube video trends. In a similar vein, "Junkyard Jokes and Memes for Trash Enthusiasts" (Anonymous, 2021) offers a lighthearted exploration of waste-related humor within internet culture, hinting at the covert influence of popular online content on societal perceptions of waste management professions.

One cannot overlook the profound impact of internet culture on modern discourse, with the emergence of memes such as "One Man's Trash Is Another Man's Trending Topic" reflecting the broader sociocultural resonance of waste-related humor and its potential implications for the labor market. These diverse strands of literature underscore the multifaceted nature of our current inquiry and motivate us to pursue a comprehensive examination of the intersection between digital media trends and occupational trajectories.


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

Please make up the methodology section of an academic research paper presenting the findings of the connection between How trendy AsapSCIENCE YouTube video titles are and The number of garbage collectors in Mississippi. 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 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]]
"Waste Not, Want Not: A Correlational Examination of AsapSCIENCE Video Titles Trends and Garbage Collector Employment in Mississippi"

[[ABSTRACT]]
This study investigates the potential connection between the trending nature of AsapSCIENCE YouTube video titles and the employment levels of garbage collectors in the state of Mississippi. Leveraging data obtained from AI analysis of YouTube video titles and the Bureau of Labor Statistics, a correlation coefficient of 0.8792323 and a p-value less than 0.01 were observed for the period spanning 2012 to 2022. The findings suggest a substantive and statistically significant relationship between these two seemingly unrelated variables. The implications of these findings warrant further investigation and consideration of the potential influence of popular science content on waste management professions.

[[INTRODUCTION]]
The association between seemingly unrelated phenomena has long intrigued researchers across various disciplines. While the correlation between AsapSCIENCE YouTube video titles and the employment status of garbage collectors in Mississippi may seem whimsical at first glance, the potential links between popular science content trends and trends in waste management professions are not to be dismissed lightly. This study seeks to explore the unconventional idea that the linguistic and topical peculiarities of scientific video titles may have a discernible impact on the employment rates within the waste management sector.
In recent years, the proliferation of digital media and its impact on societal trends and behaviors has garnered considerable attention in both academic and popular discourse. AsapSCIENCE, a popular YouTube channel known for its engaging and informative science-related content, offers an interesting case study for understanding the potential intersection of digital media trends and employment patterns. Our focus on Mississippi's garbage collector employment specifically is not arbitrary; rather, it serves as a microcosm through which broader trends in waste management occupations can be discerned.
It is imperative to approach this investigation with an open mind, recognizing the potential for unexpected relationships to emerge from the data. In the pursuit of scientific inquiry, even the most unconventional hypotheses deserve consideration and rigorous examination. Thus, we embark upon this study with the intent to shed light on the entangled web of cultural, economic, and vocational dynamics that may underpin the correlation between popular science video titles and the labor force in waste management. Let us delve into the data-driven exploration of this curious juxtaposition, mindful of the adage that "one person's trash is another person's treasure."

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To investigate the purported link between the linguistic intricacies of AsapSCIENCE video titles and the employment dynamics of garbage collectors in Mississippi, a multifaceted approach was employed. The first step involved the procurement of YouTube video title data, which was obtained through the utilization of advanced AI algorithms designed to parse the linguistic structure and trending patterns of AsapSCIENCE's video titles. This process entailed processing a voluminous corpus of titles spanning the years 2012 to 2022, capturing the evolving trends in scientific content dissemination.

Simultaneously, data on the employment levels within the waste management sector in Mississippi was sourced from the Bureau of Labor Statistics. This comprehensive dataset facilitated the tracking of employment variations in garbage collection roles across the same temporal span. The collation of these disparate datasets demanded rigorous standardization and cross-referencing to establish temporal synchronicity and ensure the reliability of the subsequent analyses.

The heart of the investigation lay in the application of advanced statistical methods to discern patterns and relationships within the collated datasets. A correlation analysis was conducted to gauge the strength and direction of the relationship between the trends in AsapSCIENCE video titles and the employment levels of garbage collectors in Mississippi. This entailed the calculation of Pearson's correlation coefficient to quantify the degree of association between the two variables.

Furthermore, a time-series analysis was conducted to explore potential lagged effects and temporal dynamics that might underpin the observed relationship. This approach facilitated the identification of nuanced variations in the patterns of popular scientific content and their potential effects on the employment dynamics within the waste management sector. It is imperative to note that while an exploratory approach was adopted to discern these relationships, rigorous checks for spurious correlations and robustness tests were implemented to fortify the reliability of the findings.

It is worth acknowledging the complexity inherent in investigating such an unconventional research proposition. The utilization of unconventional data sources and the interdisciplinary nature of the research question demanded an integrative approach that commingled elements of linguistics analysis, data science, and labor economics. While the methodologies adopted may appear unorthodox, they were meticulously tailored to disentangle the convoluted relationship between the trending nature of scientific content and the employment trends within a specific occupational sector. This thoroughgoing approach aimed to unravel the enigmatic synergy between the flippancy of popular digital discourse and the solemnity of waste management professions – a confluence that, as the findings shall reveal, engenders an unexpectedly compelling narrative.


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

Please make up the results section of an academic research paper presenting the findings of the connection between How trendy AsapSCIENCE YouTube video titles are and The number of garbage collectors in Mississippi. 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 AI analysis of YouTube video titles and Bureau of Larbor Statistics .

For the time period 2012 to 2022, you found a correlation 0.8792323, r-squared of 0.7730494, 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]]
"Waste Not, Want Not: A Correlational Examination of AsapSCIENCE Video Titles Trends and Garbage Collector Employment in Mississippi"

[[ABSTRACT]]
This study investigates the potential connection between the trending nature of AsapSCIENCE YouTube video titles and the employment levels of garbage collectors in the state of Mississippi. Leveraging data obtained from AI analysis of YouTube video titles and the Bureau of Labor Statistics, a correlation coefficient of 0.8792323 and a p-value less than 0.01 were observed for the period spanning 2012 to 2022. The findings suggest a substantive and statistically significant relationship between these two seemingly unrelated variables. The implications of these findings warrant further investigation and consideration of the potential influence of popular science content on waste management professions.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The association between seemingly unrelated phenomena has long intrigued researchers across various disciplines. While the correlation between AsapSCIENCE YouTube video titles and the employment status of garbage collectors in Mississippi may seem whimsical at first glance, the potential links between popular science content trends and trends in waste management professions are not to be dismissed lightly. This study seeks to explore the unconventional idea that the linguistic and topical peculiarities of scientific video titles may have a discernible impact on the employment rates within the waste management sector.
In recent years, the proliferation of digital media and its impact on societal trends and behaviors has garnered considerable attention in both academic and popular discourse. AsapSCIENCE, a popular YouTube channel known for its engaging and informative science-related content, offers an interesting case study for understanding the potential intersection of digital media trends and employment patterns. Our focus on Mississippi's garbage collector employment specifically is not arbitrary; rather, it serves as a microcosm through which broader trends in waste management occupations can be discerned.
It is imperative to approach this investigation with an open mind, recognizing the potential for unexpected relationships to emerge from the data. In the pursuit of scientific inquiry, even the most unconventional hypotheses deserve consideration and rigorous examination. Thus, we embark upon this study with the intent to shed light on the entangled web of cultural, economic, and vocational dynamics that may underpin the correlation between popular science video titles and the labor force in waste management. Let us delve into the data-driven exploration of this curious juxtaposition, mindful of the adage that "one person's trash is another person's treasure."

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The analysis revealed a strong positive correlation between the trending nature of AsapSCIENCE YouTube video titles and the employment levels of garbage collectors in Mississippi over the period of 2012 to 2022. The correlation coefficient of 0.8792323 indicates a robust relationship between these seemingly unrelated variables. The coefficient of determination (r-squared) of 0.7730494 suggests that approximately 77.3% of the variability in garbage collector employment levels can be explained by the trending patterns of AsapSCIENCE video titles. Furthermore, the p-value of less than 0.01 provides compelling evidence that this correlation is statistically significant.

Figure 1 illustrates the scatterplot depicting the noteworthy correlation between the trending nature of AsapSCIENCE YouTube video titles and the number of garbage collectors employed in Mississippi. Each data point represents the annual employment levels of garbage collectors and the corresponding measure of "trendiness" of AsapSCIENCE video titles during the respective year.

It is evident from the results that there exists an unexpected and intriguing relationship between the popularity of scientific video titles and the labor market dynamics within the waste management sector in Mississippi. This correlation suggests a potential influence of popular science content on professional career choices and employment patterns in apparently disparate domains.

The remarkable strength of the observed correlation demands further exploration and underscores the importance of considering unconventional factors in the analysis of workforce dynamics. These findings provoke contemplation on the power of digital media trends in shaping not only public interest in science but also the occupational landscape particularly within the waste management sector. The implications of these results prompt an interdisciplinary approach to understanding the intricate interplay between cultural phenomena and vocational pursuits, leaving us pondering the enigmatic ways in which "trash talk" and "scientific discourse" may be more intertwined than initially presumed.


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

Please make up the discussion section of an academic research paper presenting the findings of the connection between How trendy AsapSCIENCE YouTube video titles are and The number of garbage collectors in Mississippi. 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]]
"Waste Not, Want Not: A Correlational Examination of AsapSCIENCE Video Titles Trends and Garbage Collector Employment in Mississippi"

[[ABSTRACT]]
This study investigates the potential connection between the trending nature of AsapSCIENCE YouTube video titles and the employment levels of garbage collectors in the state of Mississippi. Leveraging data obtained from AI analysis of YouTube video titles and the Bureau of Labor Statistics, a correlation coefficient of 0.8792323 and a p-value less than 0.01 were observed for the period spanning 2012 to 2022. The findings suggest a substantive and statistically significant relationship between these two seemingly unrelated variables. The implications of these findings warrant further investigation and consideration of the potential influence of popular science content on waste management professions.

[[LITERATURE REVIEW]]
The literature exploring the confluence of seemingly incongruous topics, namely AsapSCIENCE YouTube video titles and garbage collector employment in Mississippi, is a burgeoning field that defies traditional academic boundaries. Smith et al. (2017) conducted a seminal study that delved into the psychological impact of viral video titles on engagement levels, setting the stage for the examination of how such trends might extend into the realm of vocational choices. Building upon Smith's foundation, Doe and Jones (2019) explored the linguistic nuances of digital media headlines and their potential influence on labor market dynamics, pointing to the subtle yet influential power of language in shaping occupational preferences.
Moving beyond the immediate scope of occupational studies, Lorem and Ipsum (2015) contributed to the broader conversation by investigating the socioeconomic consequences of digital media trends, though their inquiry did not explicitly consider the specific context of waste management employment. Nevertheless, their work serves as a thought-provoking backdrop to our investigation, urging us to consider the multifaceted impact of trending online content on various aspects of society.
In parallel, an exploration of real-world case studies sheds light on the intricate relationship between digital media trends and long-established professions. For instance, "Waste Not, Want Not: The Economic Principles of Waste Management" (Johnson, 2020) offers a comprehensive analysis of waste management practices, though regrettably without an explicit reference to AsapSCIENCE video titles. Similarly, "Trash Talk: A Garbage Collector's Memoir" (Gonzalez, 2018) presents a captivating personal narrative within the waste management industry, although devoid of any direct correlation with digital media trends.
Furthermore, the interplay of fiction and reality is not to be discounted in this context, as seen in "The Waste Wizard Chronicles" (Rowling, 2016), a literary series that intertwines elements of waste management with magical realism, albeit lacking a direct link to YouTube video trends. In a similar vein, "Junkyard Jokes and Memes for Trash Enthusiasts" (Anonymous, 2021) offers a lighthearted exploration of waste-related humor within internet culture, hinting at the covert influence of popular online content on societal perceptions of waste management professions.
One cannot overlook the profound impact of internet culture on modern discourse, with the emergence of memes such as "One Man's Trash Is Another Man's Trending Topic" reflecting the broader sociocultural resonance of waste-related humor and its potential implications for the labor market. These diverse strands of literature underscore the multifaceted nature of our current inquiry and motivate us to pursue a comprehensive examination of the intersection between digital media trends and occupational trajectories.

[[RESULTS]]
The analysis revealed a strong positive correlation between the trending nature of AsapSCIENCE YouTube video titles and the employment levels of garbage collectors in Mississippi over the period of 2012 to 2022. The correlation coefficient of 0.8792323 indicates a robust relationship between these seemingly unrelated variables. The coefficient of determination (r-squared) of 0.7730494 suggests that approximately 77.3% of the variability in garbage collector employment levels can be explained by the trending patterns of AsapSCIENCE video titles. Furthermore, the p-value of less than 0.01 provides compelling evidence that this correlation is statistically significant.
Figure 1 illustrates the scatterplot depicting the noteworthy correlation between the trending nature of AsapSCIENCE YouTube video titles and the number of garbage collectors employed in Mississippi. Each data point represents the annual employment levels of garbage collectors and the corresponding measure of "trendiness" of AsapSCIENCE video titles during the respective year.
It is evident from the results that there exists an unexpected and intriguing relationship between the popularity of scientific video titles and the labor market dynamics within the waste management sector in Mississippi. This correlation suggests a potential influence of popular science content on professional career choices and employment patterns in apparently disparate domains.
The remarkable strength of the observed correlation demands further exploration and underscores the importance of considering unconventional factors in the analysis of workforce dynamics. These findings provoke contemplation on the power of digital media trends in shaping not only public interest in science but also the occupational landscape particularly within the waste management sector. The implications of these results prompt an interdisciplinary approach to understanding the intricate interplay between cultural phenomena and vocational pursuits, leaving us pondering the enigmatic ways in which "trash talk" and "scientific discourse" may be more intertwined than initially presumed.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The findings of this study offer compelling evidence of a substantial and statistically significant correlation between the trending nature of AsapSCIENCE YouTube video titles and the employment levels of garbage collectors in Mississippi. Our results not only support the existing literature suggesting the influence of digital media trends on occupational dynamics but also underscore the unforeseen intersection of popular science content and waste management professions.

Building on the work of Smith et al. (2017) and Doe and Jones (2019), who delved into the psychological and linguistic dimensions of viral video titles, our study provides a tangible connection between online content trends and real-world employment patterns. This connection, somewhat humorously, suggests that the allure of captivating scientific headlines may extend beyond mere clickbait and into the realm of career choices, perhaps leading some individuals to pursue the noble and essential profession of waste management.

Furthermore, our findings resonate with the prescient insights of Lorem and Ipsum (2015), who probed the socioeconomic consequences of digital media trends. While their study did not explicitly address waste management, the present research fills this gap by showcasing the tangible impact of online content trends on a specific sector of the labor market.

The substantial correlation coefficient and the statistically significant p-value align with our expectations, hinting at the surprisingly influential role of AsapSCIENCE video titles in shaping the employment landscape of garbage collectors in the state of Mississippi. It appears that the "trash talk" of online video titles may have more substantial implications than previously envisaged, as evidenced by the robust relationship between trending scientific content and waste management careers.

Our results echo the broader sociocultural resonance of waste-related humor, evoking the subtle yet pervasive influence of internet culture on societal perceptions of waste management professions, as hinted at in "Trash Talk: A Garbage Collector's Memoir" (Gonzalez, 2018) and "Junkyard Jokes and Memes for Trash Enthusiasts" (Anonymous, 2021). The unexpected convergence of seemingly disparate topics such as trendy scientific titles and waste management underscores the multifaceted nature of occupational dynamics in the digital age, inviting us to reconsider the interplay of mundane and trendy aspects of our society.

In conclusion, our study not only substantiates the connection between AsapSCIENCE video title trends and garbage collector employment levels in Mississippi but also invites further exploration into the complex interdependence of popular online content and vocational trajectories. The unexpected convergence of digital media trends and waste management professions calls for a reevaluation of the far-reaching influence of online culture on real-world employment dynamics, infusing a touch of whimsy into the otherwise seemingly mundane world of garbage collection.


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

Please make up a short conclusion of an academic research paper presenting the findings of the connection between How trendy AsapSCIENCE YouTube video titles are and The number of garbage collectors in Mississippi. 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]]
"Waste Not, Want Not: A Correlational Examination of AsapSCIENCE Video Titles Trends and Garbage Collector Employment in Mississippi"

[[ABSTRACT]]
This study investigates the potential connection between the trending nature of AsapSCIENCE YouTube video titles and the employment levels of garbage collectors in the state of Mississippi. Leveraging data obtained from AI analysis of YouTube video titles and the Bureau of Labor Statistics, a correlation coefficient of 0.8792323 and a p-value less than 0.01 were observed for the period spanning 2012 to 2022. The findings suggest a substantive and statistically significant relationship between these two seemingly unrelated variables. The implications of these findings warrant further investigation and consideration of the potential influence of popular science content on waste management professions.

[[INTRDUCTION]]
The association between seemingly unrelated phenomena has long intrigued researchers across various disciplines. While the correlation between AsapSCIENCE YouTube video titles and the employment status of garbage collectors in Mississippi may seem whimsical at first glance, the potential links between popular science content trends and trends in waste management professions are not to be dismissed lightly. This study seeks to explore the unconventional idea that the linguistic and topical peculiarities of scientific video titles may have a discernible impact on the employment rates within the waste management sector.
In recent years, the proliferation of digital media and its impact on societal trends and behaviors has garnered considerable attention in both academic and popular discourse. AsapSCIENCE, a popular YouTube channel known for its engaging and informative science-related content, offers an interesting case study for understanding the potential intersection of digital media trends and employment patterns. Our focus on Mississippi's garbage collector employment specifically is not arbitrary; rather, it serves as a microcosm through which broader trends in waste management occupations can be discerned.
It is imperative to approach this investigation with an open mind, recognizing the potential for unexpected relationships to emerge from the data. In the pursuit of scientific inquiry, even the most unconventional hypotheses deserve consideration and rigorous examination. Thus, we embark upon this study with the intent to shed light on the entangled web of cultural, economic, and vocational dynamics that may underpin the correlation between popular science video titles and the labor force in waste management. Let us delve into the data-driven exploration of this curious juxtaposition, mindful of the adage that "one person's trash is another person's treasure."

[[RESULTS]]
The analysis revealed a strong positive correlation between the trending nature of AsapSCIENCE YouTube video titles and the employment levels of garbage collectors in Mississippi over the period of 2012 to 2022. The correlation coefficient of 0.8792323 indicates a robust relationship between these seemingly unrelated variables. The coefficient of determination (r-squared) of 0.7730494 suggests that approximately 77.3% of the variability in garbage collector employment levels can be explained by the trending patterns of AsapSCIENCE video titles. Furthermore, the p-value of less than 0.01 provides compelling evidence that this correlation is statistically significant.
Figure 1 illustrates the scatterplot depicting the noteworthy correlation between the trending nature of AsapSCIENCE YouTube video titles and the number of garbage collectors employed in Mississippi. Each data point represents the annual employment levels of garbage collectors and the corresponding measure of "trendiness" of AsapSCIENCE video titles during the respective year.
It is evident from the results that there exists an unexpected and intriguing relationship between the popularity of scientific video titles and the labor market dynamics within the waste management sector in Mississippi. This correlation suggests a potential influence of popular science content on professional career choices and employment patterns in apparently disparate domains.
The remarkable strength of the observed correlation demands further exploration and underscores the importance of considering unconventional factors in the analysis of workforce dynamics. These findings provoke contemplation on the power of digital media trends in shaping not only public interest in science but also the occupational landscape particularly within the waste management sector. The implications of these results prompt an interdisciplinary approach to understanding the intricate interplay between cultural phenomena and vocational pursuits, leaving us pondering the enigmatic ways in which "trash talk" and "scientific discourse" may be more intertwined than initially presumed.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, the findings of this study illuminate an unexpected and robust correlation between the trending nature of AsapSCIENCE YouTube video titles and the employment levels of garbage collectors in Mississippi. The substantial correlation coefficient and statistically significant p-value emphasize the compelling nature of this relationship. While the juxtaposition of popular science video titles and waste management employment may seem whimsical at first glance, the results underscore the potential influence of digital media trends on vocational dynamics.

These findings prompt us to reexamine the ways in which popular science content may permeate diverse aspects of societal and professional life. The ability of scientific discourse to impact not only public interest but also professional career choices within the waste management sector poses intriguing questions for future research. As we delve into the intricacies of this correlation, we are reminded of the adage that "one person's trash is another person's treasure," emphasizing the complex and often unexpected connections that underlie seemingly disparate phenomena.

In light of these unexpected results, we urge for continued interdisciplinary inquiry into the intricate interplay between digital media trends and occupational dynamics. However, with considerable confidence, we assert that, in the context of this particular study, no further research is needed in this area. After all, as the saying goes, "There's no garbage in investigating the unexpected treasures hidden in statistical correlations!"


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 Waste Not, Want Not: A Correlational Examination of AsapSCIENCE Video Titles Trends and Garbage Collector Employment in Mississippi. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Quirky Social Science Research


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 Waste Not, Want Not: A Correlational Examination of AsapSCIENCE Video Titles Trends and Garbage Collector Employment in Mississippi. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Quirky Research Studies


Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled Waste Not, Want Not: A Correlational Examination of AsapSCIENCE Video Titles Trends and Garbage Collector Employment in Mississippi with an abstract of This study investigates the potential connection between the trending nature of AsapSCIENCE YouTube video titles and the employment levels of garbage collectors in the state of Mississippi. Leveraging data obtained from AI analysis of YouTube video titles and the Bureau of Labor Statistics, a correlation coefficient of 0.8792323 and a p-value less than 0.01 were observed for the period spanning 2012 to 2022. The findings suggest a substantive and statistically significant relationship between these two seemingly unrelated variables. The implications of these findings warrant further investigation and consideration of the potential influence of popular science content on waste management professions.

ChatGPT:

AsapSCIENCE, video titles, trends, garbage collector employment, Mississippi, correlation, examination, AI analysis, YouTube, Bureau of Labor Statistics, correlation coefficient, p-value, waste management professions, popular science content.

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

See what else correlates with How trendy AsapSCIENCE YouTube video titles are

The number of garbage collectors in Mississippi
Detailed data title: BLS estimate of refuse and recyclable material collectors in Mississippi
Source: Bureau of Larbor Statistics
See what else correlates with The number of garbage collectors in Mississippi

Correlation r = 0.8792323 (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 = 0.7730494 (Coefficient of determination)
This means 77.3% of the change in the one variable (i.e., The number of garbage collectors in Mississippi) is predictable based on the change in the other (i.e., How trendy AsapSCIENCE 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 0.00036. 0.0003625386548878375700000000
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 0.88 in 0.036% of random cases. Said differently, if you correlated 2,758 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.

[ 0.59, 0.97 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

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


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

Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
20122013201420152016201720182019202020212022
How trendy AsapSCIENCE YouTube video titles are (Trendiness score)6.53336.39026.56416.53336.52276.22926.20756.74076.71436.42116.9811
The number of garbage collectors in Mississippi (Laborers)1300109011401210120010609901190134011801710




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. 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([6.5333,6.3902,6.5641,6.5333,6.5227,6.2292,6.2075,6.7407,6.7143,6.4211,6.9811,])
array_2 = np.array([1300,1090,1140,1210,1200,1060,990,1190,1340,1180,1710,])
array_1_name = "How trendy AsapSCIENCE YouTube video titles are"
array_2_name = "The number of garbage collectors in Mississippi"

# 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: 4335 · Black Variable ID: 25843 · Red Variable ID: 10368
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