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Spurious correlation #5,773 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Popularity of the first name Meaghan and the second variable is How trendy Extra History YouTube video titles are.  The chart goes from 2012 to 2020, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

As fewer parents named their daughters Meaghan, the secret Meaghan Council had less influence over historical events, leading to a shortage of dramatic and trendy story material for Extra History video titles.

Model: dalle-3
Prompt: [ Cutsy graphics ] Generate an image of a dimly lit council chamber with grand golden plaques covered in dust. Show council members sitting in a somber circle, expressing a sense of disheartenment and faded influence. In the background, depict a room with a whiteboard surrounded by a team of people scratching their heads in confusion, conveying a lack of inspiration and ongoing struggle to find captivating historical content.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: Popularity of the first name Meaghan and How trendy Extra History YouTube video titles are. 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: Psychedelic Cutsy art illustration Cutsy graphics Scalar art a funny image macro
ChatGPT: Cutsy graphics

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 Popularity of the first name Meaghan and How trendy Extra History YouTube video titles are, in the following situation: As fewer parents named their daughters Meaghan, the secret Meaghan Council had less influence over historical events, leading to a shortage of dramatic and trendy story material for Extra History video titles.. Keep the description simple.
ChatGPT: In the dimly lit council chamber, the once bustling halls were now eerily quiet and barren. The grand golden plaques engraved with the various historical events influenced by the Meaghans of the past stood untouched, covered in a thick layer of dust. The council members, disheartened by the dwindling popularity of the name Meaghan, sat in a somber circle, their once influential voices now faint whispers in the air. Meanwhile, in the dimly lit room of the Extra History team, the whiteboard that once overflowed with trendy video title ideas was now noticeably sparse. The team scratched their heads, struggling to find the next explosive topic to captivate their audience. The absence of recent dramatic historical events involving Meaghans left them starved for compelling narratives to turn into captivating video titles.

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: [ Cutsy graphics ] and depicting this scene: In the dimly lit council chamber, the once bustling halls were now eerily quiet and barren. The grand golden plaques engraved with the various historical events influenced by the Meaghans of the past stood untouched, covered in a thick layer of dust. The council members, disheartened by the dwindling popularity of the name Meaghan, sat in a somber circle, their once influential voices now faint whispers in the air. Meanwhile, in the dimly lit room of the Extra History team, the whiteboard that once overflowed with trendy video title ideas was now noticeably sparse. The team scratched their heads, struggling to find the next explosive topic to captivate their audience. The absence of recent dramatic historical events involving Meaghans left them starved for compelling narratives to turn into captivating video titles. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: [ Cutsy graphics ] Generate an image of a dimly lit council chamber with grand golden plaques covered in dust. Show council members sitting in a somber circle, expressing a sense of disheartenment and faded influence. In the background, depict a room with a whiteboard surrounded by a team of people scratching their heads in confusion, conveying a lack of inspiration and ongoing struggle to find captivating historical 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.

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 a decrease in Popularity of the first name Meaghan caused How trendy Extra History YouTube video titles are to decrease.

AI academic paper

(Because p < 0.01)
Meaghan-Popularity Reign and Extra History Video Title Trend Terrain

The Journal of Contemporary Digital Media Studies

Jan 2024

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




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

Please draft the title and abstract of an academic research paper presenting the findings of the connection between Popularity of the first name Meaghan and How trendy Extra History YouTube video titles are. Make lots of jokes, goofy observations, and puns.

Rhyme words in the title.

Your research team used data from US Social Security Administration and AI analysis of YouTube video titles to assess this nagging question. You found a correlation coefficient of 0.9545137 and p < 0.01 for 2012 to 2020.

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]]
Meaghan-Popularity Reign and Extra History Video Title Trend Terrain

[[ABSTRACT]]
This research explores the intriguing and quirky relationship between the popularity of the first name Meaghan and the trendy landscape of Extra History YouTube video titles. Drawing upon data from the US Social Security Administration for the prevalence of the name Meaghan and AI analysis of Extra History video titles, we uncovered a correlation coefficient of 0.9545137, with a statistically significant p-value of less than 0.01 for the years 2012 to 2020. Our study delves into the beguiling world of naming patterns and online video culture, showcasing the surprising link between the two. The implications of our findings may alter the perception of what it means to be "trendy" and open up new avenues for interdisciplinary research, all while making a few puns along the way.


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

Please make up the introduction section of an academic research paper presenting the findings of the connection between Popularity of the first name Meaghan and How trendy Extra History YouTube video titles are. Make lots of jokes, goofy observations, and puns.

Here is the title and abstract of the paper:
[[TITLE]]
Meaghan-Popularity Reign and Extra History Video Title Trend Terrain

[[ABSTRACT]]
This research explores the intriguing and quirky relationship between the popularity of the first name Meaghan and the trendy landscape of Extra History YouTube video titles. Drawing upon data from the US Social Security Administration for the prevalence of the name Meaghan and AI analysis of Extra History video titles, we uncovered a correlation coefficient of 0.9545137, with a statistically significant p-value of less than 0.01 for the years 2012 to 2020. Our study delves into the beguiling world of naming patterns and online video culture, showcasing the surprising link between the two. The implications of our findings may alter the perception of what it means to be "trendy" and open up new avenues for interdisciplinary research, all while making a few puns along the way.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

The interplay between cultural phenomena and linguistic trends has long fascinated researchers and casual observers alike. From the ebb and flow of baby names to the whims of popular media, the complex dance between language and society unveils itself in unexpected ways. In this study, we set out to investigate the curious correlation between the prevalence of the first name Meaghan and the ever-changing landscape of Extra History YouTube video titles. An endeavor that is as much a study in data analysis as it is a quest to uncover the underlying currents of naming conventions and online content creation.

Meaghan, a name with roots that stretch into Gaelic origins, has traversed through waves of popularity over the years. With variations in spelling, from Meaghan to Megan to Meghan, the name has been a stalwart in the tapestry of American names, flexing its linguistic muscles as it navigates the inlets of naming preferences. On the other hand, the Extra History YouTube channel, a haven for historical enthusiasts and digital storytellers, crafts its video titles with a blend of informative allure and contemporary pizzazz. The juxtaposition of these two seemingly disparate entities invites a whimsical exploration into the unexpected connections that can emerge from the most unlikely sources.

In the following sections, we will delve into the methodology employed to unravel this enigmatic relationship, unraveling the tangled threads of data and discourse to reveal a tapestry that is at once informative and entertaining. Our findings shed light on the intricate web of cultural resonance and linguistic evolution, shedding light on the curious nature of contemporary trends. So, buckle up for a journey that blends data analysis and linguistic conundrums, all while shedding light on the unexpected synchronization of Meaghans and YouTube titles.


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

Please make up a literature review section of an academic research paper presenting the findings of the connection between Popularity of the first name Meaghan and How trendy Extra History YouTube video titles are. 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. Perhaps you also got inspiration from some board games that are vaugely related.

Here is the title and abstract of the paper:
[[TITLE]]
Meaghan-Popularity Reign and Extra History Video Title Trend Terrain

[[ABSTRACT]]
This research explores the intriguing and quirky relationship between the popularity of the first name Meaghan and the trendy landscape of Extra History YouTube video titles. Drawing upon data from the US Social Security Administration for the prevalence of the name Meaghan and AI analysis of Extra History video titles, we uncovered a correlation coefficient of 0.9545137, with a statistically significant p-value of less than 0.01 for the years 2012 to 2020. Our study delves into the beguiling world of naming patterns and online video culture, showcasing the surprising link between the two. The implications of our findings may alter the perception of what it means to be "trendy" and open up new avenues for interdisciplinary research, all while making a few puns along the way.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The interplay between cultural phenomena and linguistic trends has long fascinated researchers and casual observers alike. From the ebb and flow of baby names to the whims of popular media, the complex dance between language and society unveils itself in unexpected ways. In this study, we set out to investigate the curious correlation between the prevalence of the first name Meaghan and the ever-changing landscape of Extra History YouTube video titles. An endeavor that is as much a study in data analysis as it is a quest to uncover the underlying currents of naming conventions and online content creation.
Meaghan, a name with roots that stretch into Gaelic origins, has traversed through waves of popularity over the years. With variations in spelling, from Meaghan to Megan to Meghan, the name has been a stalwart in the tapestry of American names, flexing its linguistic muscles as it navigates the inlets of naming preferences. On the other hand, the Extra History YouTube channel, a haven for historical enthusiasts and digital storytellers, crafts its video titles with a blend of informative allure and contemporary pizzazz. The juxtaposition of these two seemingly disparate entities invites a whimsical exploration into the unexpected connections that can emerge from the most unlikely sources.
In the following sections, we will delve into the methodology employed to unravel this enigmatic relationship, unraveling the tangled threads of data and discourse to reveal a tapestry that is at once informative and entertaining. Our findings shed light on the intricate web of cultural resonance and linguistic evolution, shedding light on the curious nature of contemporary trends. So, buckle up for a journey that blends data analysis and linguistic conundrums, all while shedding light on the unexpected synchronization of Meaghans and YouTube titles.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The influence of names on sociocultural dynamics has been a subject of interest for scholars across disciplines. Smith et al. (2010) conducted a comprehensive analysis of naming trends, shedding light on the correlations between naming patterns and societal shifts. Similarly, Doe and Jones (2014) delved into the cultural significance of given names, uncovering intriguing connections between nomenclature and cultural zeitgeist. However, the specific correlation between the prevalence of the first name Meaghan and the trendy terrain of Extra History YouTube video titles remains unexplored in existing literature, paving the way for an unconventional investigation into the fusion of traditional naming norms and digital media culture.

Drawing inspiration from non-fiction narratives such as "Freakonomics" by Steven D. Levitt and Stephen J. Dubner, which cunningly unravel the hidden patterns beneath seemingly disparate societal phenomena, and "Blink" by Malcolm Gladwell, which sheds light on the subconscious influences shaping cultural trends, our study embarks on a mission to untangle the elusive relationship between the name Meaghan and the titillating world of YouTube titles. While these sources offer valuable insights into cultural dynamics, they fall short of exploring the offbeat connection we aim to uncover.

In the realm of fiction, works such as "The Name of the Wind" by Patrick Rothfuss and "History of Wolves" by Emily Fridlund, albeit unrelated to our research focus, provide a dash of inspiration for delving into the multifaceted dimensions of naming conventions and cultural motifs. Furthermore, the board game "Codenames," known for its playful word associations, beckons as a reminder of the interconnectedness of language and pop culture, serving as a veritable playground for linguistic exploration and unforeseen connections.

As we strap on our academic seatbelts and prepare to plunge into the whimsical intersection of Meaghans and YouTube titles, it is essential to keep in mind the lighthearted but intellectually stimulating nature of our endeavor. We journey forth with a determination to unravel the enigmatic bond between a name steeped in history and the ever-evolving landscape of online video content, all in pursuit of a scholarly pursuit that is as entertaining as it is enlightening.


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

Please make up the methodology section of an academic research paper presenting the findings of the connection between Popularity of the first name Meaghan and How trendy Extra History YouTube video titles are. Make lots of jokes, goofy observations, and puns.

Your research team collected data from all across the internet, but mostly just used information from US Social Security Administration and AI analysis of YouTube video titles . You used data from 2012 to 2020

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]]
Meaghan-Popularity Reign and Extra History Video Title Trend Terrain

[[ABSTRACT]]
This research explores the intriguing and quirky relationship between the popularity of the first name Meaghan and the trendy landscape of Extra History YouTube video titles. Drawing upon data from the US Social Security Administration for the prevalence of the name Meaghan and AI analysis of Extra History video titles, we uncovered a correlation coefficient of 0.9545137, with a statistically significant p-value of less than 0.01 for the years 2012 to 2020. Our study delves into the beguiling world of naming patterns and online video culture, showcasing the surprising link between the two. The implications of our findings may alter the perception of what it means to be "trendy" and open up new avenues for interdisciplinary research, all while making a few puns along the way.

[[INTRODUCTION]]
The interplay between cultural phenomena and linguistic trends has long fascinated researchers and casual observers alike. From the ebb and flow of baby names to the whims of popular media, the complex dance between language and society unveils itself in unexpected ways. In this study, we set out to investigate the curious correlation between the prevalence of the first name Meaghan and the ever-changing landscape of Extra History YouTube video titles. An endeavor that is as much a study in data analysis as it is a quest to uncover the underlying currents of naming conventions and online content creation.
Meaghan, a name with roots that stretch into Gaelic origins, has traversed through waves of popularity over the years. With variations in spelling, from Meaghan to Megan to Meghan, the name has been a stalwart in the tapestry of American names, flexing its linguistic muscles as it navigates the inlets of naming preferences. On the other hand, the Extra History YouTube channel, a haven for historical enthusiasts and digital storytellers, crafts its video titles with a blend of informative allure and contemporary pizzazz. The juxtaposition of these two seemingly disparate entities invites a whimsical exploration into the unexpected connections that can emerge from the most unlikely sources.
In the following sections, we will delve into the methodology employed to unravel this enigmatic relationship, unraveling the tangled threads of data and discourse to reveal a tapestry that is at once informative and entertaining. Our findings shed light on the intricate web of cultural resonance and linguistic evolution, shedding light on the curious nature of contemporary trends. So, buckle up for a journey that blends data analysis and linguistic conundrums, all while shedding light on the unexpected synchronization of Meaghans and YouTube titles.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To untangle the enigmatic relationship between the popularity of the first name Meaghan and the trendiness of Extra History YouTube video titles, an array of convoluted and whimsical research methods were employed. The first step involved procuring data on the prevalence of the name Meaghan from the US Social Security Administration's database, spanning the years 2012 to 2020. This involved wading through voluminous records and deciphering the intricacies of naming patterns to capture the essence of Meaghan's linguistic reign.

Next, to gauge the trendy terrain of Extra History video titles, an AI analysis was conducted. This unconventional approach involved enlisting the assistance of an AI bot, affectionately named "TrendBot 9000," to sift through thousands of video titles and scrutinize them for elements of trendiness, hipness, and overall cool factor. TrendBot 9000, with its digital wit and algorithmic charm, proved to be an invaluable ally in navigating the labyrinth of YouTube trends.

The AI analysis delved deep into the linguistic and semantic nuances present in the video titles, examining lexical choices, historical references, and captivating hooks that encapsulate the zeitgeist of each era. This step utilized advanced natural language processing techniques, coupled with a sprinkle of whimsical AI banter, to distill the essence of Extra History's video title trends.

Lastly, the collected data from these disparate sources were subjected to rigorous statistical analysis, employing correlation coefficients and p-values to unveil the hidden connection between the prevalence of the name Meaghan and the trendy tapestry of Extra History video titles. This statistical scrutiny served as the bedrock of our research, providing a firm foundation for unraveling the captivating correlation that lay just beneath the surface of linguistic and cultural phenomena.

In this unconventional and slightly offbeat journey of research, the collaboration of traditional data sources and cutting-edge digital analysis culminated in the revelation of the surprising correlation between Meaghans and YouTube video titles. This delightful blend of data and whimsy formed the cornerstone of our methodological approach, paving the way for an unexpectedly entertaining exploration of linguistic resonance and online cultural trends.


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

Please make up the results section of an academic research paper presenting the findings of the connection between Popularity of the first name Meaghan and How trendy Extra History YouTube video titles are. Make lots of jokes, goofy observations, and puns.

Your research team collected data from all across the internet, but mostly just used information from US Social Security Administration and AI analysis of YouTube video titles .

For the time period 2012 to 2020, you found a correlation 0.9545137, r-squared of 0.9110965, 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]]
Meaghan-Popularity Reign and Extra History Video Title Trend Terrain

[[ABSTRACT]]
This research explores the intriguing and quirky relationship between the popularity of the first name Meaghan and the trendy landscape of Extra History YouTube video titles. Drawing upon data from the US Social Security Administration for the prevalence of the name Meaghan and AI analysis of Extra History video titles, we uncovered a correlation coefficient of 0.9545137, with a statistically significant p-value of less than 0.01 for the years 2012 to 2020. Our study delves into the beguiling world of naming patterns and online video culture, showcasing the surprising link between the two. The implications of our findings may alter the perception of what it means to be "trendy" and open up new avenues for interdisciplinary research, all while making a few puns along the way.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The interplay between cultural phenomena and linguistic trends has long fascinated researchers and casual observers alike. From the ebb and flow of baby names to the whims of popular media, the complex dance between language and society unveils itself in unexpected ways. In this study, we set out to investigate the curious correlation between the prevalence of the first name Meaghan and the ever-changing landscape of Extra History YouTube video titles. An endeavor that is as much a study in data analysis as it is a quest to uncover the underlying currents of naming conventions and online content creation.
Meaghan, a name with roots that stretch into Gaelic origins, has traversed through waves of popularity over the years. With variations in spelling, from Meaghan to Megan to Meghan, the name has been a stalwart in the tapestry of American names, flexing its linguistic muscles as it navigates the inlets of naming preferences. On the other hand, the Extra History YouTube channel, a haven for historical enthusiasts and digital storytellers, crafts its video titles with a blend of informative allure and contemporary pizzazz. The juxtaposition of these two seemingly disparate entities invites a whimsical exploration into the unexpected connections that can emerge from the most unlikely sources.
In the following sections, we will delve into the methodology employed to unravel this enigmatic relationship, unraveling the tangled threads of data and discourse to reveal a tapestry that is at once informative and entertaining. Our findings shed light on the intricate web of cultural resonance and linguistic evolution, shedding light on the curious nature of contemporary trends. So, buckle up for a journey that blends data analysis and linguistic conundrums, all while shedding light on the unexpected synchronization of Meaghans and YouTube titles.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The results of our investigation unveiled an astonishingly strong correlation between the prevalence of the first name Meaghan and the trendy terrain of Extra History YouTube video titles. Over the period of 2012 to 2020, we discovered a correlation coefficient of 0.9545137, indicating a remarkably robust relationship between these seemingly disparate entities. The r-squared value of 0.9110965 further underscored the striking degree of association, suggesting that the vast majority of the variability in YouTube video title trends could be explained by the prevalence of the name Meaghan.

Figure 1 depicts a scatterplot showcasing the strong positive correlation between the two variables. The data points exhibit a clear upward trend, symbolizing the harmonious dance between the ebb and flow of Meaghans and the captivating allure of Extra History video titles. The figure is a visual testament to the unexpected synchronicity we unearthed in our analysis.

This remarkable correlation, with a statistically significant p-value of less than 0.01, is a testament to the captivating interplay between linguistic trends and cultural phenomena. It appears that the rise and fall of Meaghans in the naming landscape mirrors the waxing and waning of trendy themes in Extra History video titles. The implications of our findings extend beyond the realm of mere statistical association; they illuminate the whimsical and enthralling relationship between the world of naming conventions and the captivating universe of online content creation.

Our study not only sheds light on the curious connection between the two variables but also challenges traditional notions of linguistic evolution and trends. It highlights the surprising ways in which seemingly unrelated cultural artifacts can intertwine and influence each other, much like the intertwining threads of a lively conversation.

The findings of this investigation invite further exploration into the whimsical and often enigmatic relationship between human naming practices and digital content creation. They also pave the way for interdisciplinary collaborations that bridge the realms of linguistics, cultural studies, and online media, in the pursuit of unraveling the delightful mysteries lurking beneath the surface of seemingly unrelated domains.


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

Please make up the discussion section of an academic research paper presenting the findings of the connection between Popularity of the first name Meaghan and How trendy Extra History YouTube video titles are. 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]]
Meaghan-Popularity Reign and Extra History Video Title Trend Terrain

[[ABSTRACT]]
This research explores the intriguing and quirky relationship between the popularity of the first name Meaghan and the trendy landscape of Extra History YouTube video titles. Drawing upon data from the US Social Security Administration for the prevalence of the name Meaghan and AI analysis of Extra History video titles, we uncovered a correlation coefficient of 0.9545137, with a statistically significant p-value of less than 0.01 for the years 2012 to 2020. Our study delves into the beguiling world of naming patterns and online video culture, showcasing the surprising link between the two. The implications of our findings may alter the perception of what it means to be "trendy" and open up new avenues for interdisciplinary research, all while making a few puns along the way.

[[LITERATURE REVIEW]]
The influence of names on sociocultural dynamics has been a subject of interest for scholars across disciplines. Smith et al. (2010) conducted a comprehensive analysis of naming trends, shedding light on the correlations between naming patterns and societal shifts. Similarly, Doe and Jones (2014) delved into the cultural significance of given names, uncovering intriguing connections between nomenclature and cultural zeitgeist. However, the specific correlation between the prevalence of the first name Meaghan and the trendy terrain of Extra History YouTube video titles remains unexplored in existing literature, paving the way for an unconventional investigation into the fusion of traditional naming norms and digital media culture.
Drawing inspiration from non-fiction narratives such as "Freakonomics" by Steven D. Levitt and Stephen J. Dubner, which cunningly unravel the hidden patterns beneath seemingly disparate societal phenomena, and "Blink" by Malcolm Gladwell, which sheds light on the subconscious influences shaping cultural trends, our study embarks on a mission to untangle the elusive relationship between the name Meaghan and the titillating world of YouTube titles. While these sources offer valuable insights into cultural dynamics, they fall short of exploring the offbeat connection we aim to uncover.
In the realm of fiction, works such as "The Name of the Wind" by Patrick Rothfuss and "History of Wolves" by Emily Fridlund, albeit unrelated to our research focus, provide a dash of inspiration for delving into the multifaceted dimensions of naming conventions and cultural motifs. Furthermore, the board game "Codenames," known for its playful word associations, beckons as a reminder of the interconnectedness of language and pop culture, serving as a veritable playground for linguistic exploration and unforeseen connections.
As we strap on our academic seatbelts and prepare to plunge into the whimsical intersection of Meaghans and YouTube titles, it is essential to keep in mind the lighthearted but intellectually stimulating nature of our endeavor. We journey forth with a determination to unravel the enigmatic bond between a name steeped in history and the ever-evolving landscape of online video content, all in pursuit of a scholarly pursuit that is as entertaining as it is enlightening.

[[RESULTS]]
The results of our investigation unveiled an astonishingly strong correlation between the prevalence of the first name Meaghan and the trendy terrain of Extra History YouTube video titles. Over the period of 2012 to 2020, we discovered a correlation coefficient of 0.9545137, indicating a remarkably robust relationship between these seemingly disparate entities. The r-squared value of 0.9110965 further underscored the striking degree of association, suggesting that the vast majority of the variability in YouTube video title trends could be explained by the prevalence of the name Meaghan.
Figure 1 depicts a scatterplot showcasing the strong positive correlation between the two variables. The data points exhibit a clear upward trend, symbolizing the harmonious dance between the ebb and flow of Meaghans and the captivating allure of Extra History video titles. The figure is a visual testament to the unexpected synchronicity we unearthed in our analysis.
This remarkable correlation, with a statistically significant p-value of less than 0.01, is a testament to the captivating interplay between linguistic trends and cultural phenomena. It appears that the rise and fall of Meaghans in the naming landscape mirrors the waxing and waning of trendy themes in Extra History video titles. The implications of our findings extend beyond the realm of mere statistical association; they illuminate the whimsical and enthralling relationship between the world of naming conventions and the captivating universe of online content creation.
Our study not only sheds light on the curious connection between the two variables but also challenges traditional notions of linguistic evolution and trends. It highlights the surprising ways in which seemingly unrelated cultural artifacts can intertwine and influence each other, much like the intertwining threads of a lively conversation.
The findings of this investigation invite further exploration into the whimsical and often enigmatic relationship between human naming practices and digital content creation. They also pave the way for interdisciplinary collaborations that bridge the realms of linguistics, cultural studies, and online media, in the pursuit of unraveling the delightful mysteries lurking beneath the surface of seemingly unrelated domains.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The remarkably strong correlation uncovered between the prevalence of the first name Meaghan and the trendy landscape of Extra History YouTube video titles is a testament to the captivating and unexpected interplay of seemingly disparate cultural phenomena. Our findings not only corroborate the prior research on naming patterns and societal shifts (Smith et al., 2010), but they also shed new light on the hitherto unexplored connection between nomenclature and digital media culture, aligning with the offbeat nature of our inquiry.

Drawing inspiration from the association between linguistic trends and cultural motifs, our study elucidates the whimsical relationship between Meaghans and YouTube titles, weaving an intricate narrative of unexpected synchronicity. The lively dance between the ebb and flow of Meaghans and the captivating allure of Extra History video titles is encapsulated in the robust correlation coefficient of 0.9545137, underscoring the harmonious interplay between the two variables. This unexpected synchronicity aligns with the unconventional nature of our investigation, echoing the playful word associations exemplified by the board game "Codenames."

The statistically significant p-value of less than 0.01 further substantiates the enchanting bond between the rise and fall of Meaghans in the naming landscape and the waxing and waning of trendy themes in Extra History video titles, reinforcing the astonishing degree of association between these seemingly unrelated entities. This unexpected correlation challenges traditional notions of linguistic evolution and trends, mirroring the surprising twists and turns of a compelling narrative.

Our study unearths a delightful mystery lurking beneath the surface of seemingly unrelated domains, inviting further exploration into the whimsical and often enigmatic relationship between human naming practices and digital content creation. The lighthearted but intellectually stimulating nature of our endeavor aligns with the multifaceted dimensions of naming conventions and cultural motifs, injecting a sense of playfulness into the scholarly pursuit. As we navigate the intriguing landscape of Meaghans and YouTube titles, our findings stand as a testament to the captivating and unforeseen connections that can emerge from interdisciplinary collaborations, echoing the veritable playground for linguistic exploration and unforeseen connections exemplified by "Codenames."

In summary, our investigation not only establishes a robust correlation between the prevalence of the first name Meaghan and the trendy terrain of Extra History YouTube video titles but also paves the way for an unconventional and entertaining approach to scholarly inquiry. The implications of our findings may alter the perception of what it means to be "trendy" and open up new avenues for interdisciplinary research, all while weaving a narrative as playful as it is enlightening.


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

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Popularity of the first name Meaghan and How trendy Extra History YouTube video titles are. 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]]
Meaghan-Popularity Reign and Extra History Video Title Trend Terrain

[[ABSTRACT]]
This research explores the intriguing and quirky relationship between the popularity of the first name Meaghan and the trendy landscape of Extra History YouTube video titles. Drawing upon data from the US Social Security Administration for the prevalence of the name Meaghan and AI analysis of Extra History video titles, we uncovered a correlation coefficient of 0.9545137, with a statistically significant p-value of less than 0.01 for the years 2012 to 2020. Our study delves into the beguiling world of naming patterns and online video culture, showcasing the surprising link between the two. The implications of our findings may alter the perception of what it means to be "trendy" and open up new avenues for interdisciplinary research, all while making a few puns along the way.

[[INTRDUCTION]]
The interplay between cultural phenomena and linguistic trends has long fascinated researchers and casual observers alike. From the ebb and flow of baby names to the whims of popular media, the complex dance between language and society unveils itself in unexpected ways. In this study, we set out to investigate the curious correlation between the prevalence of the first name Meaghan and the ever-changing landscape of Extra History YouTube video titles. An endeavor that is as much a study in data analysis as it is a quest to uncover the underlying currents of naming conventions and online content creation.
Meaghan, a name with roots that stretch into Gaelic origins, has traversed through waves of popularity over the years. With variations in spelling, from Meaghan to Megan to Meghan, the name has been a stalwart in the tapestry of American names, flexing its linguistic muscles as it navigates the inlets of naming preferences. On the other hand, the Extra History YouTube channel, a haven for historical enthusiasts and digital storytellers, crafts its video titles with a blend of informative allure and contemporary pizzazz. The juxtaposition of these two seemingly disparate entities invites a whimsical exploration into the unexpected connections that can emerge from the most unlikely sources.
In the following sections, we will delve into the methodology employed to unravel this enigmatic relationship, unraveling the tangled threads of data and discourse to reveal a tapestry that is at once informative and entertaining. Our findings shed light on the intricate web of cultural resonance and linguistic evolution, shedding light on the curious nature of contemporary trends. So, buckle up for a journey that blends data analysis and linguistic conundrums, all while shedding light on the unexpected synchronization of Meaghans and YouTube titles.

[[RESULTS]]
The results of our investigation unveiled an astonishingly strong correlation between the prevalence of the first name Meaghan and the trendy terrain of Extra History YouTube video titles. Over the period of 2012 to 2020, we discovered a correlation coefficient of 0.9545137, indicating a remarkably robust relationship between these seemingly disparate entities. The r-squared value of 0.9110965 further underscored the striking degree of association, suggesting that the vast majority of the variability in YouTube video title trends could be explained by the prevalence of the name Meaghan.
Figure 1 depicts a scatterplot showcasing the strong positive correlation between the two variables. The data points exhibit a clear upward trend, symbolizing the harmonious dance between the ebb and flow of Meaghans and the captivating allure of Extra History video titles. The figure is a visual testament to the unexpected synchronicity we unearthed in our analysis.
This remarkable correlation, with a statistically significant p-value of less than 0.01, is a testament to the captivating interplay between linguistic trends and cultural phenomena. It appears that the rise and fall of Meaghans in the naming landscape mirrors the waxing and waning of trendy themes in Extra History video titles. The implications of our findings extend beyond the realm of mere statistical association; they illuminate the whimsical and enthralling relationship between the world of naming conventions and the captivating universe of online content creation.
Our study not only sheds light on the curious connection between the two variables but also challenges traditional notions of linguistic evolution and trends. It highlights the surprising ways in which seemingly unrelated cultural artifacts can intertwine and influence each other, much like the intertwining threads of a lively conversation.
The findings of this investigation invite further exploration into the whimsical and often enigmatic relationship between human naming practices and digital content creation. They also pave the way for interdisciplinary collaborations that bridge the realms of linguistics, cultural studies, and online media, in the pursuit of unraveling the delightful mysteries lurking beneath the surface of seemingly unrelated domains.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our research has illuminated the delightful dance between the popularity of the name Meaghan and the ever-evolving landscape of Extra History video titles. The strong correlation coefficient of 0.9545137 and the visually captivating scatterplot in Figure 1 underscore the enchanting synchrony between these seemingly unrelated entities. It appears that the waxing and waning of Meaghans in the naming landscape mirrors the ebbs and flows of trendy themes in Extra History video titles, creating a harmonious symphony of linguistic and cultural resonance.

Our findings not only offer a whimsical glimpse into the intertwining realms of human naming practices and online content creation but also beckon us to reconsider our understanding of what defines "trendy." Perhaps, buried within the statistical associations lies a saga of linguistic serendipity, where the allure of historical narratives and the popularity of certain names entwine in a dance that is both captivating and unexpected, much like stumbling upon a hidden treasure in the archives of cultural phenomena.

While our study unveils the charming connection between Meaghans and YouTube titles, it also reveals the unfathomable complexity of linguistic trends and cultural resonances. As we close this chapter, we assert that no more research is needed in this area, lest we unravel the delightful mysteries of Meaghans and YouTube titles too much and spoil their enchanting allure.


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 Meaghan-Popularity Reign and Extra History Video Title Trend Terrain. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Contemporary Digital Media Studies


Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of nonprofit research organizations and associations. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding nonprofit, academic, or scientific association or organization that would sponsor research that resulted in a paper entited Meaghan-Popularity Reign and Extra History Video Title Trend Terrain. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Digital Anthropology and Online Culture


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 Meaghan-Popularity Reign and Extra History Video Title Trend Terrain with an abstract of This research explores the intriguing and quirky relationship between the popularity of the first name Meaghan and the trendy landscape of Extra History YouTube video titles. Drawing upon data from the US Social Security Administration for the prevalence of the name Meaghan and AI analysis of Extra History video titles, we uncovered a correlation coefficient of 0.9545137, with a statistically significant p-value of less than 0.01 for the years 2012 to 2020. Our study delves into the beguiling world of naming patterns and online video culture, showcasing the surprising link between the two. The implications of our findings may alter the perception of what it means to be "trendy" and open up new avenues for interdisciplinary research, all while making a few puns along the way.

ChatGPT:

Meaghan, popularity, first name, Extra History, YouTube video titles, correlation coefficient, statistical significance, US Social Security Administration, AI analysis, naming patterns, online video culture, interdisciplinary research, trend, trendiness, naming trends, video title trends

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



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Data details

Popularity of the first name Meaghan
Detailed data title: Babies of all sexes born in the US named Meaghan
Source: US Social Security Administration
See what else correlates with Popularity of the first name Meaghan

How trendy Extra History YouTube video titles are
Detailed data title: How trendy Extra History 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 Extra History YouTube video titles are

Correlation r = 0.9545137 (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 = 0.9110965 (Coefficient of determination)
This means 91.1% of the change in the one variable (i.e., How trendy Extra History YouTube video titles are) is predictable based on the change in the other (i.e., Popularity of the first name Meaghan) over the 9 years from 2012 through 2020.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 6.3E-5. 0.0000632053405025893000000000
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 0.95 in 0.0063% of random cases. Said differently, if you correlated 15,821 random variables Which I absolutely did.
with the same 8 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 8 because we have two variables measured over a period of 9 years. It's just the number of years minus ( the number of variables minus one ), which in this case simplifies to the number of years minus one.
you would randomly expect to find a correlation as strong as this one.

[ 0.79, 0.99 ] 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.
201220132014201520162017201820192020
Popularity of the first name Meaghan (Babies born)302324181410101013
How trendy Extra History YouTube video titles are (Trendiness score)6.97566.59266.57146.44126.18756.06565.8726.22836.1958




Why this works

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




Try it yourself

You can calculate the values on this page on your own! Try running the Python code to see the calculation results. Step 1: Download and install Python on your computer.

Step 2: Open a plaintext editor like Notepad and paste the code below into it.

Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"

Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.

Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.

Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.

Step 7: Run the Python script by typing "python calculate_correlation.py"

If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:

"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."


# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats

# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):

    # Calculate Pearson correlation coefficient and p-value
    correlation, p_value = stats.pearsonr(array1, array2)

    # Calculate R-squared as the square of the correlation coefficient
    r_squared = correlation**2

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([30,23,24,18,14,10,10,10,13,])
array_2 = np.array([6.9756,6.5926,6.5714,6.4412,6.1875,6.0656,5.872,6.2283,6.1958,])
array_1_name = "Popularity of the first name Meaghan"
array_2_name = "How trendy Extra History YouTube video titles are"

# 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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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: 5773 · Black Variable ID: 2958 · Red Variable ID: 25786
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