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Spurious correlation #4,865 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is How cool Casually Explained YouTube video titles are and the second variable is Liquefied petroleum gas used in Iraq.  The chart goes from 2015 to 2021, and the two variables track closely in value over that time. Small Image

AI explanation

As the demand for LPG in Iraq rose, so did the coolness level of the YouTube video titles. It seems the LPG wasn't the only thing getting fired up over there! Just like propane, these video titles are heating up the internet! It's a real gas how that correlation works, isn't it?

Model: dalle-3
Prompt: Generate an image of a minimalist setting with a dark background. In the center, a glowing, stylized LPG flame stands tall, emitting shimmering heat waves. On the periphery, a video player window displays the YouTube video "How to Cook with LPG in Iraq," featuring a simplistic, cool title. The contrast between the warm, practical LPG flame and the cool, casual video title reflects the correlation between the rising demand for LPG in Iraq and the increasing coolness of the video titles. 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 cool Casually Explained YouTube video titles are and Liquefied petroleum gas used in Iraq. 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: Photorealism Hyper-realistic Vaporwave Minimalism Voxel art
ChatGPT: Minimalism

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 cool Casually Explained YouTube video titles are and Liquefied petroleum gas used in Iraq, in the following situation: As the demand for LPG in Iraq rose, so did the coolness level of the YouTube video titles. It seems the LPG wasn't the only thing getting fired up over there! Just like propane, these video titles are heating up the internet! It's a real gas how that correlation works, isn't it?. Keep the description simple.
ChatGPT: A YouTube video titled "How to Cook with LPG in Iraq" flashes on the screen, featuring a casually explained demonstration of the process. In the background, the video's cool title is reflected in the shimmering heat waves rising from a blazing LPG flame, illustrating the correlation between the rising demand for LPG in Iraq and the increasing coolness of the 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: [ Minimalism ] and depicting this scene: A YouTube video titled "How to Cook with LPG in Iraq" flashes on the screen, featuring a casually explained demonstration of the process. In the background, the video's cool title is reflected in the shimmering heat waves rising from a blazing LPG flame, illustrating the correlation between the rising demand for LPG in Iraq and the increasing coolness of the video titles. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a minimalist setting with a dark background. In the center, a glowing, stylized LPG flame stands tall, emitting shimmering heat waves. On the periphery, a video player window displays the YouTube video "How to Cook with LPG in Iraq," featuring a simplistic, cool title. The contrast between the warm, practical LPG flame and the cool, casual video title reflects the correlation between the rising demand for LPG in Iraq and the increasing coolness of the video titles.

*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 cool Casually Explained YouTube video titles are caused Liquefied petroleum gas used in Iraq to increase. Include one good pun.

AI academic paper

(Because p < 0.01)
Rhyme Time: An Unexpected Correlation Between Cool Casually Explained Comedy and Iraqi LPG Consumption

The Journal of Quirky Quantitative Studies

Jan 2024
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 How cool Casually Explained YouTube video titles are and Liquefied petroleum gas used in Iraq. Make lots of jokes, goofy observations, and puns.

Rhyme words in the title.

Your research team used data from AI analysis of YouTube video titles and Energy Information Administration to assess this nagging question. You found a correlation coefficient of 0.9656668 and p < 0.01 for 2015 to 2021.

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]]
"Rhyme Time: An Unexpected Correlation Between Cool Casually Explained Comedy and Iraqi LPG Consumption"

[[ABSTRACT]]
This research delves into the surprising connection between the linguistic playfulness of YouTube video titles from the popular channel "Casually Explained" and the utilization of liquefied petroleum gas (LPG) in Iraq. By harnessing the power of AI analysis of over 1,000 video titles and cross-referencing this with data from the Energy Information Administration, our study unveils an unforeseen relationship between the two seemingly disparate elements. We present a correlation coefficient of 0.9656668 with a significant p-value of less than 0.01 for the period spanning 2015 to 2021. The implications of this intriguing correlation spark discussions on the potential influence of online humor on energy consumption patterns and call for further investigation into the interconnectedness of seemingly unrelated phenomena. This unexpected correlation leaves us pondering: are the humorous titling choices influencing LPG usage, or is there a deeper, comedic connection that transcends linguistic barriers and geopolitical boundaries?


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 How cool Casually Explained YouTube video titles are and Liquefied petroleum gas used in Iraq. Make lots of jokes, goofy observations, and puns.

Here is the title and abstract of the paper:
[[TITLE]]
"Rhyme Time: An Unexpected Correlation Between Cool Casually Explained Comedy and Iraqi LPG Consumption"

[[ABSTRACT]]
This research delves into the surprising connection between the linguistic playfulness of YouTube video titles from the popular channel "Casually Explained" and the utilization of liquefied petroleum gas (LPG) in Iraq. By harnessing the power of AI analysis of over 1,000 video titles and cross-referencing this with data from the Energy Information Administration, our study unveils an unforeseen relationship between the two seemingly disparate elements. We present a correlation coefficient of 0.9656668 with a significant p-value of less than 0.01 for the period spanning 2015 to 2021. The implications of this intriguing correlation spark discussions on the potential influence of online humor on energy consumption patterns and call for further investigation into the interconnectedness of seemingly unrelated phenomena. This unexpected correlation leaves us pondering: are the humorous titling choices influencing LPG usage, or is there a deeper, comedic connection that transcends linguistic barriers and geopolitical boundaries?

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
INTRODUCTION

The world of YouTube is a rich tapestry of content, encompassing everything from cute cat videos to in-depth tutorials on underwater basket weaving. Amidst this content cornucopia, one channel stands out for its unique blend of wit and wisdom - "Casually Explained." With his deadpan delivery and dry humor, the creator behind this channel has amassed a loyal following, drawing in viewers with titles that are as cool as the other side of the pillow.

Meanwhile, the global energy landscape is a complex web of supply, demand, and consumption patterns, with each country weaving its own unique story. In the case of Iraq, liquefied petroleum gas (LPG) plays a significant role in meeting the energy needs of its populace. The use of LPG spans a wide range of applications, from household cooking to industrial processes, making it a crucial component of the country's energy mix.

Now, what could possibly connect the linguistic acrobatics of YouTube video titles and the practicalities of LPG usage in Iraq? This might seem like a setup for a punchline, but it turns out that there is a statistical correlation between the two. How cool is that? We aim to unravel this mystery and explore the implications of this unexpected link in our research.

In this paper, we delve into the realm of linguistic humor and energy consumption, exploring the unlikely relationship between the way videos are titled and the consumption of LPG in Iraq. Through the lens of data analysis and a pinch of humor, we aim to shed light on this curious correlation, sparking both laughter and contemplation in equal measure. So, buckle up for a journey through the quirky world of online comedy and energy trends, as we uncover a correlation that is as unexpected as a punchline in a statistics lecture.


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 How cool Casually Explained YouTube video titles are and Liquefied petroleum gas used in Iraq. 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]]
"Rhyme Time: An Unexpected Correlation Between Cool Casually Explained Comedy and Iraqi LPG Consumption"

[[ABSTRACT]]
This research delves into the surprising connection between the linguistic playfulness of YouTube video titles from the popular channel "Casually Explained" and the utilization of liquefied petroleum gas (LPG) in Iraq. By harnessing the power of AI analysis of over 1,000 video titles and cross-referencing this with data from the Energy Information Administration, our study unveils an unforeseen relationship between the two seemingly disparate elements. We present a correlation coefficient of 0.9656668 with a significant p-value of less than 0.01 for the period spanning 2015 to 2021. The implications of this intriguing correlation spark discussions on the potential influence of online humor on energy consumption patterns and call for further investigation into the interconnectedness of seemingly unrelated phenomena. This unexpected correlation leaves us pondering: are the humorous titling choices influencing LPG usage, or is there a deeper, comedic connection that transcends linguistic barriers and geopolitical boundaries?

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
INTRODUCTION
The world of YouTube is a rich tapestry of content, encompassing everything from cute cat videos to in-depth tutorials on underwater basket weaving. Amidst this content cornucopia, one channel stands out for its unique blend of wit and wisdom - "Casually Explained." With his deadpan delivery and dry humor, the creator behind this channel has amassed a loyal following, drawing in viewers with titles that are as cool as the other side of the pillow.
Meanwhile, the global energy landscape is a complex web of supply, demand, and consumption patterns, with each country weaving its own unique story. In the case of Iraq, liquefied petroleum gas (LPG) plays a significant role in meeting the energy needs of its populace. The use of LPG spans a wide range of applications, from household cooking to industrial processes, making it a crucial component of the country's energy mix.
Now, what could possibly connect the linguistic acrobatics of YouTube video titles and the practicalities of LPG usage in Iraq? This might seem like a setup for a punchline, but it turns out that there is a statistical correlation between the two. How cool is that? We aim to unravel this mystery and explore the implications of this unexpected link in our research.
In this paper, we delve into the realm of linguistic humor and energy consumption, exploring the unlikely relationship between the way videos are titled and the consumption of LPG in Iraq. Through the lens of data analysis and a pinch of humor, we aim to shed light on this curious correlation, sparking both laughter and contemplation in equal measure. So, buckle up for a journey through the quirky world of online comedy and energy trends, as we uncover a correlation that is as unexpected as a punchline in a statistics lecture.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

Numerous studies have sought to explore the influence of linguistic and comedic elements on various facets of human behavior. Smith et al. (2017) examined the impact of humor in advertising, highlighting its ability to captivate audiences and shape consumer perceptions. Furthermore, Doe and Jones (2019) delved into the linguistic nuances of online content and its potential effects on information processing.

On the topic of energy consumption, Lorem and Ipsum (2016) conducted an exhaustive analysis of global energy trends, emphasizing the multifaceted nature of factors influencing energy usage in different regions. Their work provided a comprehensive overview of the intricate relationship between linguistic culture and energy dynamics, setting the stage for our investigation into the unexpectedly correlated realms of YouTube humor and LPG consumption in Iraq.

Turning to more specialized sources, "Energy Economics: Concepts, Issues, Markets, and Governance" by Bhattacharyya (2018) offers a comprehensive overview of the intricate dynamics shaping global energy markets. In a slightly tangential vein, the board game "Power Grid" allows players to simulate the operation of an energy company, offering a hands-on perspective on the complexities inherent in energy resource management.

While the above sources lay a solid groundwork for our investigation, a less traditional approach is warranted when examining the unorthodox relationship between YouTube comedy titles and Iraqi LPG consumption. With this in mind, we draw inspiration from the fiction realm, considering the potential influences of works such as "The Hitchhiker's Guide to the Galaxy" by Douglas Adams and "Good Omens" by Neil Gaiman and Terry Pratchett. Both works, while not directly related to our topic, offer a whimsical exploration of unexpected connections and the power of humor in shaping human narratives.

The unexpected and seemingly whimsical connections that permeate our investigation call to mind the playful spirit of the board game "Munchkin", where players navigate a labyrinthine world filled with unexpected twists and turns. Similarly, in our exploration of the correlation between tongue-in-cheek YouTube titles and LPG consumption in Iraq, we are metaphorically donning the adventurer's cap and embracing the humor-laden journey that awaits us.


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 How cool Casually Explained YouTube video titles are and Liquefied petroleum gas used in Iraq. Make lots of jokes, goofy observations, and puns.

Your research team collected data from all across the internet, but mostly just used information from AI analysis of YouTube video titles and Energy Information Administration . You used data from 2015 to 2021

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]]
"Rhyme Time: An Unexpected Correlation Between Cool Casually Explained Comedy and Iraqi LPG Consumption"

[[ABSTRACT]]
This research delves into the surprising connection between the linguistic playfulness of YouTube video titles from the popular channel "Casually Explained" and the utilization of liquefied petroleum gas (LPG) in Iraq. By harnessing the power of AI analysis of over 1,000 video titles and cross-referencing this with data from the Energy Information Administration, our study unveils an unforeseen relationship between the two seemingly disparate elements. We present a correlation coefficient of 0.9656668 with a significant p-value of less than 0.01 for the period spanning 2015 to 2021. The implications of this intriguing correlation spark discussions on the potential influence of online humor on energy consumption patterns and call for further investigation into the interconnectedness of seemingly unrelated phenomena. This unexpected correlation leaves us pondering: are the humorous titling choices influencing LPG usage, or is there a deeper, comedic connection that transcends linguistic barriers and geopolitical boundaries?

[[INTRODUCTION]]
INTRODUCTION
The world of YouTube is a rich tapestry of content, encompassing everything from cute cat videos to in-depth tutorials on underwater basket weaving. Amidst this content cornucopia, one channel stands out for its unique blend of wit and wisdom - "Casually Explained." With his deadpan delivery and dry humor, the creator behind this channel has amassed a loyal following, drawing in viewers with titles that are as cool as the other side of the pillow.
Meanwhile, the global energy landscape is a complex web of supply, demand, and consumption patterns, with each country weaving its own unique story. In the case of Iraq, liquefied petroleum gas (LPG) plays a significant role in meeting the energy needs of its populace. The use of LPG spans a wide range of applications, from household cooking to industrial processes, making it a crucial component of the country's energy mix.
Now, what could possibly connect the linguistic acrobatics of YouTube video titles and the practicalities of LPG usage in Iraq? This might seem like a setup for a punchline, but it turns out that there is a statistical correlation between the two. How cool is that? We aim to unravel this mystery and explore the implications of this unexpected link in our research.
In this paper, we delve into the realm of linguistic humor and energy consumption, exploring the unlikely relationship between the way videos are titled and the consumption of LPG in Iraq. Through the lens of data analysis and a pinch of humor, we aim to shed light on this curious correlation, sparking both laughter and contemplation in equal measure. So, buckle up for a journey through the quirky world of online comedy and energy trends, as we uncover a correlation that is as unexpected as a punchline in a statistics lecture.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To uncover the mystifying link between the linguistic dexterity of "Casually Explained" YouTube video titles and the fervent consumption of liquefied petroleum gas (LPG) in Iraq, our research team embarked on an unconventional yet illuminating journey. We utilized a multi-faceted research approach that involved both AI analysis of YouTube video titles and the perusal of data from the Energy Information Administration.

Firstly, we set our AI algorithms loose on the vast expanse of "Casually Explained" video titles, in search of linguistic patterns and pun-tastic wordplay. Our crack team of linguistic experts then fumbled through the myriad of puns, dad jokes, and dry humor to distill a database encompassing over 1,000 video titles. This treasure trove of wordplay served as the fertile ground for uncovering the subtle nuances of comedic linguistic expressions.

Simultaneously, we turned our attention to the Energy Information Administration's data on liquefied petroleum gas consumption in Iraq. We meticulously combed through this data, teasing out the consumption patterns and trends spanning the years 2015 to 2021. This rigorous data analysis formed the bedrock upon which we sought to establish a compelling correlation between linguistic whimsy and energy consumption.

With the linguistic data and energy consumption metrics in hand, we donned our metaphorical detective hats and engaged in a veritable tango of statistical analyses. From correlation coefficients to the infamous p-values, we dissected the data with the precision of a stand-up comedian timing their punchline.

Our pursuit of methodological rigor transcended traditional boundaries, embracing the quirkiness of online humor and the practicalities of energy consumption in equal measure. Through this unique approach, we sought to unravel the enigmatic connection between cool YouTube video titles and LPG usage in Iraq, illuminating a correlation as unexpected as mistaking a chemistry lecture for a stand-up comedy show.


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 How cool Casually Explained YouTube video titles are and Liquefied petroleum gas used in Iraq. Make lots of jokes, goofy observations, and puns.

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

For the time period 2015 to 2021, you found a correlation 0.9656668, r-squared of 0.9325125, 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]]
"Rhyme Time: An Unexpected Correlation Between Cool Casually Explained Comedy and Iraqi LPG Consumption"

[[ABSTRACT]]
This research delves into the surprising connection between the linguistic playfulness of YouTube video titles from the popular channel "Casually Explained" and the utilization of liquefied petroleum gas (LPG) in Iraq. By harnessing the power of AI analysis of over 1,000 video titles and cross-referencing this with data from the Energy Information Administration, our study unveils an unforeseen relationship between the two seemingly disparate elements. We present a correlation coefficient of 0.9656668 with a significant p-value of less than 0.01 for the period spanning 2015 to 2021. The implications of this intriguing correlation spark discussions on the potential influence of online humor on energy consumption patterns and call for further investigation into the interconnectedness of seemingly unrelated phenomena. This unexpected correlation leaves us pondering: are the humorous titling choices influencing LPG usage, or is there a deeper, comedic connection that transcends linguistic barriers and geopolitical boundaries?

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
INTRODUCTION
The world of YouTube is a rich tapestry of content, encompassing everything from cute cat videos to in-depth tutorials on underwater basket weaving. Amidst this content cornucopia, one channel stands out for its unique blend of wit and wisdom - "Casually Explained." With his deadpan delivery and dry humor, the creator behind this channel has amassed a loyal following, drawing in viewers with titles that are as cool as the other side of the pillow.
Meanwhile, the global energy landscape is a complex web of supply, demand, and consumption patterns, with each country weaving its own unique story. In the case of Iraq, liquefied petroleum gas (LPG) plays a significant role in meeting the energy needs of its populace. The use of LPG spans a wide range of applications, from household cooking to industrial processes, making it a crucial component of the country's energy mix.
Now, what could possibly connect the linguistic acrobatics of YouTube video titles and the practicalities of LPG usage in Iraq? This might seem like a setup for a punchline, but it turns out that there is a statistical correlation between the two. How cool is that? We aim to unravel this mystery and explore the implications of this unexpected link in our research.
In this paper, we delve into the realm of linguistic humor and energy consumption, exploring the unlikely relationship between the way videos are titled and the consumption of LPG in Iraq. Through the lens of data analysis and a pinch of humor, we aim to shed light on this curious correlation, sparking both laughter and contemplation in equal measure. So, buckle up for a journey through the quirky world of online comedy and energy trends, as we uncover a correlation that is as unexpected as a punchline in a statistics lecture.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The analysis revealed a remarkably strong correlation of 0.9656668 between the linguistic playfulness of YouTube video titles from the "Casually Explained" channel and the consumption of liquefied petroleum gas (LPG) in Iraq. This correlation was further supported by an r-squared value of 0.9325125, indicating that over 93% of the variability in LPG usage in Iraq can be explained by the linguistic characteristics of these YouTube video titles.

The significant p-value of less than 0.01 adds an extra layer of confidence to this unexpected correlation, suggesting that the likelihood of this relationship occurring by random chance is exceedingly low.

To visually illustrate this striking correlation, a scatterplot (Fig. 1) was prepared, revealing a strong and positive linear relationship between the linguistic coolness of the video titles and LPG consumption in Iraq. The scatterplot showcases the trend and emphasizes the surprising connection that our analysis has uncovered.

The implications of these findings are as intriguing as they are unexpected. While one might expect a correlation between LPG consumption and factors such as economic indicators or energy policies, the association with the linguistic style of YouTube video titles is a delightful surprise. The implications of this intriguing correlation spark discussions on the potential influence of online humor on energy consumption patterns and call for further investigation into the interconnectedness of seemingly unrelated phenomena. This unexpected correlation leaves us pondering: are the humorous titling choices influencing LPG usage, or is there a deeper, comedic connection that transcends linguistic barriers and geopolitical boundaries?

In conclusion, the results of this study suggest a strong and statistically significant correlation between the linguistic playfulness of YouTube video titles from the "Casually Explained" channel and the consumption of liquefied petroleum gas in Iraq. These findings open the door to further research and invite a whimsical exploration of the interplay between online comedy and real-world behavior.


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 How cool Casually Explained YouTube video titles are and Liquefied petroleum gas used in Iraq. 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]]
"Rhyme Time: An Unexpected Correlation Between Cool Casually Explained Comedy and Iraqi LPG Consumption"

[[ABSTRACT]]
This research delves into the surprising connection between the linguistic playfulness of YouTube video titles from the popular channel "Casually Explained" and the utilization of liquefied petroleum gas (LPG) in Iraq. By harnessing the power of AI analysis of over 1,000 video titles and cross-referencing this with data from the Energy Information Administration, our study unveils an unforeseen relationship between the two seemingly disparate elements. We present a correlation coefficient of 0.9656668 with a significant p-value of less than 0.01 for the period spanning 2015 to 2021. The implications of this intriguing correlation spark discussions on the potential influence of online humor on energy consumption patterns and call for further investigation into the interconnectedness of seemingly unrelated phenomena. This unexpected correlation leaves us pondering: are the humorous titling choices influencing LPG usage, or is there a deeper, comedic connection that transcends linguistic barriers and geopolitical boundaries?

[[LITERATURE REVIEW]]
Numerous studies have sought to explore the influence of linguistic and comedic elements on various facets of human behavior. Smith et al. (2017) examined the impact of humor in advertising, highlighting its ability to captivate audiences and shape consumer perceptions. Furthermore, Doe and Jones (2019) delved into the linguistic nuances of online content and its potential effects on information processing.
On the topic of energy consumption, Lorem and Ipsum (2016) conducted an exhaustive analysis of global energy trends, emphasizing the multifaceted nature of factors influencing energy usage in different regions. Their work provided a comprehensive overview of the intricate relationship between linguistic culture and energy dynamics, setting the stage for our investigation into the unexpectedly correlated realms of YouTube humor and LPG consumption in Iraq.
Turning to more specialized sources, "Energy Economics: Concepts, Issues, Markets, and Governance" by Bhattacharyya (2018) offers a comprehensive overview of the intricate dynamics shaping global energy markets. In a slightly tangential vein, the board game "Power Grid" allows players to simulate the operation of an energy company, offering a hands-on perspective on the complexities inherent in energy resource management.
While the above sources lay a solid groundwork for our investigation, a less traditional approach is warranted when examining the unorthodox relationship between YouTube comedy titles and Iraqi LPG consumption. With this in mind, we draw inspiration from the fiction realm, considering the potential influences of works such as "The Hitchhiker's Guide to the Galaxy" by Douglas Adams and "Good Omens" by Neil Gaiman and Terry Pratchett. Both works, while not directly related to our topic, offer a whimsical exploration of unexpected connections and the power of humor in shaping human narratives.
The unexpected and seemingly whimsical connections that permeate our investigation call to mind the playful spirit of the board game "Munchkin", where players navigate a labyrinthine world filled with unexpected twists and turns. Similarly, in our exploration of the correlation between tongue-in-cheek YouTube titles and LPG consumption in Iraq, we are metaphorically donning the adventurer's cap and embracing the humor-laden journey that awaits us.

[[RESULTS]]
The analysis revealed a remarkably strong correlation of 0.9656668 between the linguistic playfulness of YouTube video titles from the "Casually Explained" channel and the consumption of liquefied petroleum gas (LPG) in Iraq. This correlation was further supported by an r-squared value of 0.9325125, indicating that over 93% of the variability in LPG usage in Iraq can be explained by the linguistic characteristics of these YouTube video titles.
The significant p-value of less than 0.01 adds an extra layer of confidence to this unexpected correlation, suggesting that the likelihood of this relationship occurring by random chance is exceedingly low.
To visually illustrate this striking correlation, a scatterplot (Fig. 1) was prepared, revealing a strong and positive linear relationship between the linguistic coolness of the video titles and LPG consumption in Iraq. The scatterplot showcases the trend and emphasizes the surprising connection that our analysis has uncovered.
The implications of these findings are as intriguing as they are unexpected. While one might expect a correlation between LPG consumption and factors such as economic indicators or energy policies, the association with the linguistic style of YouTube video titles is a delightful surprise. The implications of this intriguing correlation spark discussions on the potential influence of online humor on energy consumption patterns and call for further investigation into the interconnectedness of seemingly unrelated phenomena. This unexpected correlation leaves us pondering: are the humorous titling choices influencing LPG usage, or is there a deeper, comedic connection that transcends linguistic barriers and geopolitical boundaries?
In conclusion, the results of this study suggest a strong and statistically significant correlation between the linguistic playfulness of YouTube video titles from the "Casually Explained" channel and the consumption of liquefied petroleum gas in Iraq. These findings open the door to further research and invite a whimsical exploration of the interplay between online comedy and real-world behavior.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The unexpected correlation between the linguistic playfulness of YouTube video titles from the "Casually Explained" channel and the consumption of liquefied petroleum gas (LPG) in Iraq has unfurled a tapestry of potential connections that transcends linguistic barriers and geopolitical boundaries.

This correlation evokes the whimsical spirit of "The Hitchhiker's Guide to the Galaxy" by Douglas Adams, where improbable events often unfold with a cheeky twist. While initially reminiscent of a playful jest, the robust correlation coefficient of 0.9656668 and the substantial r-squared value of 0.9325125 have bolstered the seemingly lighthearted relationship into a serious field of investigation.

The humorous titling choices deployed on YouTube have inexplicably intertwined with LPG usage in Iraq, prompting reflections reminiscent of the board game "Munchkin", where unexpected connections and humorous encounters abound. The significant p-value of less than 0.01 further substantiates this unanticipated fusion of linguistic wit and energy consumption patterns.

This correlation, akin to navigating a labyrinthine journey in a game of "Munchkin", prompts contemplation about the influence of online humor on real-world behavioral patterns. Much like the board game, where players navigate a whimsically perilous world, the unexpected intersection of linguistic playfulness and energy consumption beckons further investigation into the unconventional paths that connect seemingly unrelated phenomena.

Drawing a parallel to the multifaceted nature of factors influencing energy usage in different regions as emphasized by Lorem and Ipsum (2016), our findings add a nuanced layer to the intricate relationship between linguistic culture and energy dynamics. This unexpected correlation invites a lighthearted exploration akin to the board game "Power Grid", where the complexities of energy resource management are skillfully handled, albeit with an unexpected comedic twist.

In conclusion, the whimsical correlation between the linguistic coolness of YouTube video titles and LPG consumption in Iraq has nudged the research realm into a playfully introspective path, mirroring the playful spirit of "Good Omens" by Neil Gaiman and Terry Pratchett. As we navigate this unexpected correlation, it is crucial to embrace the humorous journey and delve into the potential influences of linguistic jest on real-world energy usage patterns.


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 How cool Casually Explained YouTube video titles are and Liquefied petroleum gas used in Iraq. 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]]
"Rhyme Time: An Unexpected Correlation Between Cool Casually Explained Comedy and Iraqi LPG Consumption"

[[ABSTRACT]]
This research delves into the surprising connection between the linguistic playfulness of YouTube video titles from the popular channel "Casually Explained" and the utilization of liquefied petroleum gas (LPG) in Iraq. By harnessing the power of AI analysis of over 1,000 video titles and cross-referencing this with data from the Energy Information Administration, our study unveils an unforeseen relationship between the two seemingly disparate elements. We present a correlation coefficient of 0.9656668 with a significant p-value of less than 0.01 for the period spanning 2015 to 2021. The implications of this intriguing correlation spark discussions on the potential influence of online humor on energy consumption patterns and call for further investigation into the interconnectedness of seemingly unrelated phenomena. This unexpected correlation leaves us pondering: are the humorous titling choices influencing LPG usage, or is there a deeper, comedic connection that transcends linguistic barriers and geopolitical boundaries?

[[INTRDUCTION]]
INTRODUCTION
The world of YouTube is a rich tapestry of content, encompassing everything from cute cat videos to in-depth tutorials on underwater basket weaving. Amidst this content cornucopia, one channel stands out for its unique blend of wit and wisdom - "Casually Explained." With his deadpan delivery and dry humor, the creator behind this channel has amassed a loyal following, drawing in viewers with titles that are as cool as the other side of the pillow.
Meanwhile, the global energy landscape is a complex web of supply, demand, and consumption patterns, with each country weaving its own unique story. In the case of Iraq, liquefied petroleum gas (LPG) plays a significant role in meeting the energy needs of its populace. The use of LPG spans a wide range of applications, from household cooking to industrial processes, making it a crucial component of the country's energy mix.
Now, what could possibly connect the linguistic acrobatics of YouTube video titles and the practicalities of LPG usage in Iraq? This might seem like a setup for a punchline, but it turns out that there is a statistical correlation between the two. How cool is that? We aim to unravel this mystery and explore the implications of this unexpected link in our research.
In this paper, we delve into the realm of linguistic humor and energy consumption, exploring the unlikely relationship between the way videos are titled and the consumption of LPG in Iraq. Through the lens of data analysis and a pinch of humor, we aim to shed light on this curious correlation, sparking both laughter and contemplation in equal measure. So, buckle up for a journey through the quirky world of online comedy and energy trends, as we uncover a correlation that is as unexpected as a punchline in a statistics lecture.

[[RESULTS]]
The analysis revealed a remarkably strong correlation of 0.9656668 between the linguistic playfulness of YouTube video titles from the "Casually Explained" channel and the consumption of liquefied petroleum gas (LPG) in Iraq. This correlation was further supported by an r-squared value of 0.9325125, indicating that over 93% of the variability in LPG usage in Iraq can be explained by the linguistic characteristics of these YouTube video titles.
The significant p-value of less than 0.01 adds an extra layer of confidence to this unexpected correlation, suggesting that the likelihood of this relationship occurring by random chance is exceedingly low.
To visually illustrate this striking correlation, a scatterplot (Fig. 1) was prepared, revealing a strong and positive linear relationship between the linguistic coolness of the video titles and LPG consumption in Iraq. The scatterplot showcases the trend and emphasizes the surprising connection that our analysis has uncovered.
The implications of these findings are as intriguing as they are unexpected. While one might expect a correlation between LPG consumption and factors such as economic indicators or energy policies, the association with the linguistic style of YouTube video titles is a delightful surprise. The implications of this intriguing correlation spark discussions on the potential influence of online humor on energy consumption patterns and call for further investigation into the interconnectedness of seemingly unrelated phenomena. This unexpected correlation leaves us pondering: are the humorous titling choices influencing LPG usage, or is there a deeper, comedic connection that transcends linguistic barriers and geopolitical boundaries?
In conclusion, the results of this study suggest a strong and statistically significant correlation between the linguistic playfulness of YouTube video titles from the "Casually Explained" channel and the consumption of liquefied petroleum gas in Iraq. These findings open the door to further research and invite a whimsical exploration of the interplay between online comedy and real-world behavior.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In concluding, our research has unveiled a correlation that is as unexpected as finding a "Knock Knock" joke in a data analysis textbook. The statistical link between the linguistic coolness of "Casually Explained" YouTube video titles and the consumption of LPG in Iraq is as strong as a cup of Turkish coffee. While we initially set out to shed light on this unlikely relationship, we find ourselves in a comedy of errors, where the punchline is an unexpected statistical correlation.

The implications of this correlation lead us down a path as winding as a dad joke, raising questions that are as deep as a pun in a Shakespearean comedy. Are the humorous video titles subtly influencing LPG usage, or is there a comedic connection that transcends borders and languages, much like a well-timed knock-knock joke?

This correlation invites a playful exploration of the interplay between linguistic humor and global energy consumption, akin to tapping into the comedic potential of a physics lecture. It challenges us to consider the impact of online humor on real-world behavior, leaving us pondering whether a well-crafted pun can power a stove or fuel an industrial process.

At this juncture, it is evident that further research in this area is imperative. Research that involves analyzing the comedic intricacies of YouTube video titles across different genres and their unexpected links to diverse aspects of global consumption. However, we take the position that no more research is needed in this area.


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 Rhyme Time: An Unexpected Correlation Between Cool Casually Explained Comedy and Iraqi LPG Consumption. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Quirky Quantitative 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 Rhyme Time: An Unexpected Correlation Between Cool Casually Explained Comedy and Iraqi LPG Consumption. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Comic Relief Research


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 Rhyme Time: An Unexpected Correlation Between Cool Casually Explained Comedy and Iraqi LPG Consumption with an abstract of This research delves into the surprising connection between the linguistic playfulness of YouTube video titles from the popular channel "Casually Explained" and the utilization of liquefied petroleum gas (LPG) in Iraq. By harnessing the power of AI analysis of over 1,000 video titles and cross-referencing this with data from the Energy Information Administration, our study unveils an unforeseen relationship between the two seemingly disparate elements. We present a correlation coefficient of 0.9656668 with a significant p-value of less than 0.01 for the period spanning 2015 to 2021. The implications of this intriguing correlation spark discussions on the potential influence of online humor on energy consumption patterns and call for further investigation into the interconnectedness of seemingly unrelated phenomena. This unexpected correlation leaves us pondering: are the humorous titling choices influencing LPG usage, or is there a deeper, comedic connection that transcends linguistic barriers and geopolitical boundaries?

ChatGPT:

YouTube, video titles, Casually Explained, linguistic playfulness, Iraqi LPG consumption, liquefied petroleum gas, Energy Information Administration, AI analysis, correlation coefficient, humor, energy consumption patterns

*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 cool Casually Explained YouTube video titles are
Detailed data title: How cool Casually Explained 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 cool Casually Explained YouTube video titles are

Liquefied petroleum gas used in Iraq
Detailed data title: Volume of liquefied petroleum gas used consumed in Iraq in millions of barrels per day
Source: Energy Information Administration
See what else correlates with Liquefied petroleum gas used in Iraq

Correlation r = 0.9656668 (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 = 0.9325125 (Coefficient of determination)
This means 93.3% of the change in the one variable (i.e., Liquefied petroleum gas used in Iraq) is predictable based on the change in the other (i.e., How cool Casually Explained YouTube video titles are) over the 7 years from 2015 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.00041. 0.0004118158875513612000000000
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 0.97 in 0.041% of random cases. Said differently, if you correlated 2,428 random variables Which I absolutely did.
with the same 6 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 6 because we have two variables measured over a period of 7 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.

[ 0.78, 1 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

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


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

Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
2015201620172018201920202021
How cool Casually Explained YouTube video titles are (Coolness score (out of 10))6.33338.07417.92867.61547.833387.5
Liquefied petroleum gas used in Iraq (Million Barrels/Day)365352.470150.086651.357851.198951.1989




Why this works

  1. Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
  2. Lack of causal connection: There is probably Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
    no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
  3. Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
    p-value calculation does not take this into account, so mathematically it appears less probable than it really is.
  4. Very low n: There are not many data points included in this analysis. Even if the p-value is high, we should be suspicious of using so few datapoints in a correlation.




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([6.3333,8.0741,7.9286,7.6154,7.8333,8,7.5,])
array_2 = np.array([36,53,52.4701,50.0866,51.3578,51.1989,51.1989,])
array_1_name = "How cool Casually Explained YouTube video titles are"
array_2_name = "Liquefied petroleum gas used in Iraq"

# 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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Correlation ID: 4865 · Black Variable ID: 25874 · Red Variable ID: 24553
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