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Spurious correlation #5,038 · 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 Jude and the second variable is How good Deep Look YouTube video titles are.  The chart goes from 2014 to 2022, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

Turns out, there's a little-known Jude secret society that has been subtly influencing the quality of Deep Look video titles for years. As the name Jude fell out of favor, so did the mystical powers of creativity and wordplay in the secret society. It's a tale as old as time - with great Jude names comes great video titles. Who would've thought that Jude held the key to unlocking the punny brilliance of Deep Look?

Model: dalle-3
Prompt: [ Whimsical illustration ] Generate an image of the lush green courtyard of an ancient temple. In the center, depict a group of hooded figures huddled around a stone altar. Behind them, an intricate tapestry with the name "Jude" hanging on the wall gives off an aura of reverence and mystical energy. The figures are illuminated by a shimmering glow, holding parchment scrolls and whispering in hushed tones. Hovering above them, a digital screen displays a mesmerizing array of captivating Deep Look video titles, each shining with clever wordplay and creativity. The juxtaposition of the ancient mystique of the Jude secret society and the modern brilliance of the captivating video titles creates a striking image of intertwined influence. 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 Jude and How good Deep Look 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: An image that looks like it is a scene from A Disney Movie a funny image macro Whimsical illustration Art nouveau High-tech
ChatGPT: Whimsical illustration

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 Jude and How good Deep Look YouTube video titles are, in the following situation: Turns out, there's a little-known Jude secret society that has been subtly influencing the quality of Deep Look video titles for years. As the name Jude fell out of favor, so did the mystical powers of creativity and wordplay in the secret society. It's a tale as old as time - with great Jude names comes great video titles. Who would've thought that Jude held the key to unlocking the punny brilliance of Deep Look?. Keep the description simple.
ChatGPT: In the lush green courtyard of an ancient temple, a group of hooded figures huddles around a stone altar. An intricate tapestry of the name "Jude" hangs on the wall behind them, giving off an aura of reverence and mystical energy. As they whisper in hushed tones, a shimmering glow surrounds them, illuminating the parchment scrolls they hold. Meanwhile, hovering above them, a digital screen displays a mesmerizing array of captivating Deep Look video titles, each shining with clever wordplay and creativity. The juxtaposition of the ancient mystique of the Jude secret society and the modern brilliance of the captivating video titles creates a striking image of the intertwined influence of Jude's popularity and the quality of Deep Look 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: [ Whimsical illustration ] and depicting this scene: In the lush green courtyard of an ancient temple, a group of hooded figures huddles around a stone altar. An intricate tapestry of the name "Jude" hangs on the wall behind them, giving off an aura of reverence and mystical energy. As they whisper in hushed tones, a shimmering glow surrounds them, illuminating the parchment scrolls they hold. Meanwhile, hovering above them, a digital screen displays a mesmerizing array of captivating Deep Look video titles, each shining with clever wordplay and creativity. The juxtaposition of the ancient mystique of the Jude secret society and the modern brilliance of the captivating video titles creates a striking image of the intertwined influence of Jude's popularity and the quality of Deep Look video titles. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: [ Whimsical illustration ] Generate an image of the lush green courtyard of an ancient temple. In the center, depict a group of hooded figures huddled around a stone altar. Behind them, an intricate tapestry with the name "Jude" hanging on the wall gives off an aura of reverence and mystical energy. The figures are illuminated by a shimmering glow, holding parchment scrolls and whispering in hushed tones. Hovering above them, a digital screen displays a mesmerizing array of captivating Deep Look video titles, each shining with clever wordplay and creativity. The juxtaposition of the ancient mystique of the Jude secret society and the modern brilliance of the captivating video titles creates a striking image of intertwined influence.

*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 Jude caused How good Deep Look YouTube video titles are to decrease.

AI academic paper

(Because p < 0.01)
The Popularity of Jude and How Good Deep Look Video Titles Intrude: A Quirky Quest

Journal of Eccentric Linguistics

Jan 2024

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




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

Please draft the title and abstract of an academic research paper presenting the findings of the connection between Popularity of the first name Jude and How good Deep Look 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 0.9046413 and p < 0.01 for 2014 to 2022.

Please respond in this format (replace "Lorem ipsum dolor sit" with your title and abstract)

[[TITLE]]
Lorem ipsum dolor sit

[[ABSTRACT]]
Lorem ipsum dolor sit



ChatGPT:
[[TITLE]]
The Popularity of Jude and How Good "Deep Look" Video Titles Intrude: A Quirky Quest

[[ABSTRACT]]
The presented study delves into the quirky connection between the popularity of the first name "Jude" and the quality of titles for YouTube videos, with a particular focus on the acclaimed series "Deep Look." Utilizing data from the US Social Security Administration to track the ebb and flow of the name "Jude" and employing AI analysis to scrutinize the YouTube video titles, our research team unearthed a correlation coefficient of 0.9046413 and p < 0.01 for the years 2014 to 2022. Our findings not only tickle the intellect but also raise questions about the enigmatic allure of the name "Jude" and its potential influence on the creative prowess of video titling. The interplay between these seemingly disparate entities enlivens the academic landscape, adding a dash of whimsy amidst the rigors of statistical analysis and theoretical contemplation.


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

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

Here is the title and abstract of the paper:
[[TITLE]]
The Popularity of Jude and How Good "Deep Look" Video Titles Intrude: A Quirky Quest

[[ABSTRACT]]
The presented study delves into the quirky connection between the popularity of the first name "Jude" and the quality of titles for YouTube videos, with a particular focus on the acclaimed series "Deep Look." Utilizing data from the US Social Security Administration to track the ebb and flow of the name "Jude" and employing AI analysis to scrutinize the YouTube video titles, our research team unearthed a correlation coefficient of 0.9046413 and p < 0.01 for the years 2014 to 2022. Our findings not only tickle the intellect but also raise questions about the enigmatic allure of the name "Jude" and its potential influence on the creative prowess of video titling. The interplay between these seemingly disparate entities enlivens the academic landscape, adding a dash of whimsy amidst the rigors of statistical analysis and theoretical contemplation.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

In the wacky world of academic research, it's not every day that one stumbles upon a correlation as bizarrely amusing as the link between the popularity of the first name "Jude" and the quality of YouTube video titles. Yet, here we are, embarking on an offbeat adventure to uncover the curious relationship between the ebb and flow of this moniker and the prowess of "Deep Look" video titles. So strap in, folks, as we navigate through the nerdy nuances of data analysis and the playful potential of pun-filled ponderings.

Naming trends, much like fashion fads and questionable haircuts, have their moments in the sun before fading into the annals of obscurity. Our protagonist today is none other than the name "Jude," making waves in the rosters of newborns and pop culture alike. But what on Earth could this charming appellation possibly have to do with the captivating craft of coming up with click-worthy video titles? Well, dear reader, that's what we're here to unearth – the unexpected interplay between a name steeped in history and the magnetic allure of YouTube clickbait.

As we delve into this curiously captivating connection, one can't help but marvel at the sheer audacity of our inquisitive minds. Who would've thought that statistical analyses and deep dives into baby name databases could yield such tantalizing tidbits of insight? Join us in this topsy-turvy tale of data-driven detective work, sprinkled with a dash of pure punny pleasure and a generous helping of academic absurdity. Let's unravel the enigma of "Jude" and delve deep into the captivating chaos of "Deep Look" – where statistical significance meets sassy video titles!


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

Please make up a literature review section of an academic research paper presenting the findings of the connection between Popularity of the first name Jude and How good Deep Look 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. Then name some movies that you watched that are tangentially related to the topic.

Here is the title and abstract of the paper:
[[TITLE]]
The Popularity of Jude and How Good "Deep Look" Video Titles Intrude: A Quirky Quest

[[ABSTRACT]]
The presented study delves into the quirky connection between the popularity of the first name "Jude" and the quality of titles for YouTube videos, with a particular focus on the acclaimed series "Deep Look." Utilizing data from the US Social Security Administration to track the ebb and flow of the name "Jude" and employing AI analysis to scrutinize the YouTube video titles, our research team unearthed a correlation coefficient of 0.9046413 and p < 0.01 for the years 2014 to 2022. Our findings not only tickle the intellect but also raise questions about the enigmatic allure of the name "Jude" and its potential influence on the creative prowess of video titling. The interplay between these seemingly disparate entities enlivens the academic landscape, adding a dash of whimsy amidst the rigors of statistical analysis and theoretical contemplation.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
In the wacky world of academic research, it's not every day that one stumbles upon a correlation as bizarrely amusing as the link between the popularity of the first name "Jude" and the quality of YouTube video titles. Yet, here we are, embarking on an offbeat adventure to uncover the curious relationship between the ebb and flow of this moniker and the prowess of "Deep Look" video titles. So strap in, folks, as we navigate through the nerdy nuances of data analysis and the playful potential of pun-filled ponderings.
Naming trends, much like fashion fads and questionable haircuts, have their moments in the sun before fading into the annals of obscurity. Our protagonist today is none other than the name "Jude," making waves in the rosters of newborns and pop culture alike. But what on Earth could this charming appellation possibly have to do with the captivating craft of coming up with click-worthy video titles? Well, dear reader, that's what we're here to unearth – the unexpected interplay between a name steeped in history and the magnetic allure of YouTube clickbait.
As we delve into this curiously captivating connection, one can't help but marvel at the sheer audacity of our inquisitive minds. Who would've thought that statistical analyses and deep dives into baby name databases could yield such tantalizing tidbits of insight? Join us in this topsy-turvy tale of data-driven detective work, sprinkled with a dash of pure punny pleasure and a generous helping of academic absurdity. Let's unravel the enigma of "Jude" and delve deep into the captivating chaos of "Deep Look" – where statistical significance meets sassy video titles!

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The connection between the popularity of the first name "Jude" and the quality of YouTube video titles is a topic that, unsurprisingly, has not garnered much attention in traditional academic circles. However, let's start off on an erudite note with Smith et al.'s study "The Socio-Cultural Impacts of Popular First Names" and Doe's comprehensive analysis in "Naming Trends: A Sociolinguistic Perspective." These works provide a solid foundation for understanding the broader context of name popularity and its potential influence on various cultural phenomena.

Now, shifting gears to a more unconventional realm, Jones explores the quirky crossover between linguistic trends and digital media in "YouTube: An Unlikely Linguistic Playground." While not directly related to our specific inquiry, Jones' playful approach to examining language in the digital sphere sets the stage for our whimsical exploration into the realm of YouTube video titles.

In the realm of non-fiction books that could be tangentially related, we find "Freakonomics" by Steven D. Levitt and Stephen J. Dubner, offering a thought-provoking analysis of seemingly unrelated phenomena – a fitting parallel to our investigation of the unlikely correlation between a name and a YouTube series.

On the fiction front, works such as "The Name of the Wind" by Patrick Rothfuss, and "You" by Caroline Kepnes, dive into the intricate nuances of names and character portrayal, albeit in vastly different contexts. While these novels may not have a direct correlation to our research, they serve as a reminder of the multifaceted nature of names and their potential impact on storytelling.

Movies such as "Julie & Julia" and "Jude" add a touch of cinematic intrigue to the exploration of names and their cultural connotations. While these films may not directly relate to YouTube video titles, they offer a glimpse into the captivating world of nomenclature and its influence on narrative appeal.

Now, as we journey into the realm of statistical analysis and YouTube clickbait, it's essential to maintain a lighthearted perspective, for what is academia without a sprinkle of whimsy and a dash of absurdity? So, let's roll up our sleeves and embark on this delightfully offbeat investigation into the uncharted territory where names and YouTube titles collide.


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

Please make up the methodology section of an academic research paper presenting the findings of the connection between Popularity of the first name Jude and How good Deep Look 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 2014 to 2022

Make up the research methods you don't know. Make them a bit goofy and convoluted.

Here is the title, abstract, and introduction of the paper:
[[TITLE]]
The Popularity of Jude and How Good "Deep Look" Video Titles Intrude: A Quirky Quest

[[ABSTRACT]]
The presented study delves into the quirky connection between the popularity of the first name "Jude" and the quality of titles for YouTube videos, with a particular focus on the acclaimed series "Deep Look." Utilizing data from the US Social Security Administration to track the ebb and flow of the name "Jude" and employing AI analysis to scrutinize the YouTube video titles, our research team unearthed a correlation coefficient of 0.9046413 and p < 0.01 for the years 2014 to 2022. Our findings not only tickle the intellect but also raise questions about the enigmatic allure of the name "Jude" and its potential influence on the creative prowess of video titling. The interplay between these seemingly disparate entities enlivens the academic landscape, adding a dash of whimsy amidst the rigors of statistical analysis and theoretical contemplation.

[[INTRODUCTION]]
In the wacky world of academic research, it's not every day that one stumbles upon a correlation as bizarrely amusing as the link between the popularity of the first name "Jude" and the quality of YouTube video titles. Yet, here we are, embarking on an offbeat adventure to uncover the curious relationship between the ebb and flow of this moniker and the prowess of "Deep Look" video titles. So strap in, folks, as we navigate through the nerdy nuances of data analysis and the playful potential of pun-filled ponderings.
Naming trends, much like fashion fads and questionable haircuts, have their moments in the sun before fading into the annals of obscurity. Our protagonist today is none other than the name "Jude," making waves in the rosters of newborns and pop culture alike. But what on Earth could this charming appellation possibly have to do with the captivating craft of coming up with click-worthy video titles? Well, dear reader, that's what we're here to unearth – the unexpected interplay between a name steeped in history and the magnetic allure of YouTube clickbait.
As we delve into this curiously captivating connection, one can't help but marvel at the sheer audacity of our inquisitive minds. Who would've thought that statistical analyses and deep dives into baby name databases could yield such tantalizing tidbits of insight? Join us in this topsy-turvy tale of data-driven detective work, sprinkled with a dash of pure punny pleasure and a generous helping of academic absurdity. Let's unravel the enigma of "Jude" and delve deep into the captivating chaos of "Deep Look" – where statistical significance meets sassy video titles!

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To embark on our whimsical quest, our research team first delved into the wacky world of naming trends by obtaining data on the popularity of the first name "Jude" from the US Social Security Administration (SSA). We cast our nets wide, covering the years 2014 to 2022, capturing the ebbs and flows of this quirky appellation as it journeyed through the annals of nomenclature.

With our trusty data in hand, we then welcomed our AI analysis compatriots to the party, tasking them with scrutinizing the captivating catalog of "Deep Look" YouTube video titles. The AI sifted through an ocean of intriguing thumbnails and click-worthy keywords, evaluating the quality and allure of each title with relentless precision.

But hold your horses, dear reader, for our research methodology did not stop there! In a whimsical twist that would make even the most seasoned statistician chuckle, we whipped up a scrumptious blend of Bayesian inference and a sprinkle of dreamy cloud computing. This concoction allowed us to frolic through the data with the agility of a caffeinated unicorn, teasing out patterns and correlations with a flair for the unexpected.

To solidify our findings, we employed the venerable Pearson correlation coefficient, encapsulating the merry dance of "Jude" popularity and "Deep Look" video title quality in a numerical embrace. The resulting coefficient of 0.9046413 waltzed into our calculations with a swagger that would make even the most dapper researcher envious, accompanied by a significance level (p < 0.01) that raised a collective eyebrow in the hallowed halls of academia.

This delightful blend of statistical scrutiny and playful pandemonium culminated in a methodology as quirky as our research question, blending the rigors of data analysis with the whimsy of our offbeat inquiry. So, dear reader, as we venture forth into the perplexing purlieus of "Jude" and "Deep Look," let us do so with a twinkle in our eye and a spring in our statistical step.


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

Please make up the results section of an academic research paper presenting the findings of the connection between Popularity of the first name Jude and How good Deep Look 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 2014 to 2022, you found a correlation 0.9046413, r-squared of 0.8183759, and p < 0.01.

One figure will be included. The figure (Fig. 1) is a scatterplot showing the strong correlation between the two variables. You don't need to specify where; I will add the figure.

Here is the title and abstract of the paper:
[[TITLE]]
The Popularity of Jude and How Good "Deep Look" Video Titles Intrude: A Quirky Quest

[[ABSTRACT]]
The presented study delves into the quirky connection between the popularity of the first name "Jude" and the quality of titles for YouTube videos, with a particular focus on the acclaimed series "Deep Look." Utilizing data from the US Social Security Administration to track the ebb and flow of the name "Jude" and employing AI analysis to scrutinize the YouTube video titles, our research team unearthed a correlation coefficient of 0.9046413 and p < 0.01 for the years 2014 to 2022. Our findings not only tickle the intellect but also raise questions about the enigmatic allure of the name "Jude" and its potential influence on the creative prowess of video titling. The interplay between these seemingly disparate entities enlivens the academic landscape, adding a dash of whimsy amidst the rigors of statistical analysis and theoretical contemplation.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
In the wacky world of academic research, it's not every day that one stumbles upon a correlation as bizarrely amusing as the link between the popularity of the first name "Jude" and the quality of YouTube video titles. Yet, here we are, embarking on an offbeat adventure to uncover the curious relationship between the ebb and flow of this moniker and the prowess of "Deep Look" video titles. So strap in, folks, as we navigate through the nerdy nuances of data analysis and the playful potential of pun-filled ponderings.
Naming trends, much like fashion fads and questionable haircuts, have their moments in the sun before fading into the annals of obscurity. Our protagonist today is none other than the name "Jude," making waves in the rosters of newborns and pop culture alike. But what on Earth could this charming appellation possibly have to do with the captivating craft of coming up with click-worthy video titles? Well, dear reader, that's what we're here to unearth – the unexpected interplay between a name steeped in history and the magnetic allure of YouTube clickbait.
As we delve into this curiously captivating connection, one can't help but marvel at the sheer audacity of our inquisitive minds. Who would've thought that statistical analyses and deep dives into baby name databases could yield such tantalizing tidbits of insight? Join us in this topsy-turvy tale of data-driven detective work, sprinkled with a dash of pure punny pleasure and a generous helping of academic absurdity. Let's unravel the enigma of "Jude" and delve deep into the captivating chaos of "Deep Look" – where statistical significance meets sassy video titles!

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

Our data analysis revealed a strong and intriguing correlation between the popularity of the first name "Jude" and the quality of titles for YouTube videos in the acclaimed series "Deep Look." With a correlation coefficient of 0.9046413 and an r-squared value of 0.8183759, our findings indicate a highly significant relationship between these seemingly unconventional variables. In essence, the data suggests that the popularity of the name "Jude" may indeed intrude upon the creative prowess of video titling, challenging traditional notions of inspiration and influence.

The presence of a strong positive correlation, coupled with a p-value of less than 0.01, lends weight to the notion that as the popularity of the name "Jude" fluctuates over time, it may exert a substantial influence on the ingenuity and appeal of "Deep Look" video titles. This peculiar association, while initially unexpected, advances a fascinating perspective on the intersection of linguistic trends and creative expression in the digital realm.

To visually encapsulate this quirky correlation, we present Fig. 1, a scatterplot that graphically illustrates the compelling relationship between the popularity of the name "Jude" and the quality of "Deep Look" YouTube video titles. This whimsical visualization serves as a testament to the unexpected interplay between seemingly unrelated phenomena, offering a lighthearted lens through which to view the intricate dance of statistical significance and idiosyncratic influences.

Our results not only present a thought-provoking puzzle for further exploration but also underscore the whimsically unpredictable nature of statistical inquiry. The enigmatic connection between the popularity of "Jude" and the quality of "Deep Look" video titles unravels a delightful conundrum, enriching the academic conversation with a touch of unconventional charm and playful revelation.

In conclusion, our investigation into the enthralling enchantments of "Jude" and "Deep Look" video titles has unveiled a correlation that beckons further investigation and incites a whimsical curiosity. As we wade through the blends of data and drollery, we invite fellow academics to join us in embracing the unexpected and relishing the joy of intellectual exploration, ripe with pun-filled ponderings and statistical surprises.


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

Please make up the discussion section of an academic research paper presenting the findings of the connection between Popularity of the first name Jude and How good Deep Look 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]]
The Popularity of Jude and How Good "Deep Look" Video Titles Intrude: A Quirky Quest

[[ABSTRACT]]
The presented study delves into the quirky connection between the popularity of the first name "Jude" and the quality of titles for YouTube videos, with a particular focus on the acclaimed series "Deep Look." Utilizing data from the US Social Security Administration to track the ebb and flow of the name "Jude" and employing AI analysis to scrutinize the YouTube video titles, our research team unearthed a correlation coefficient of 0.9046413 and p < 0.01 for the years 2014 to 2022. Our findings not only tickle the intellect but also raise questions about the enigmatic allure of the name "Jude" and its potential influence on the creative prowess of video titling. The interplay between these seemingly disparate entities enlivens the academic landscape, adding a dash of whimsy amidst the rigors of statistical analysis and theoretical contemplation.

[[LITERATURE REVIEW]]
The connection between the popularity of the first name "Jude" and the quality of YouTube video titles is a topic that, unsurprisingly, has not garnered much attention in traditional academic circles. However, let's start off on an erudite note with Smith et al.'s study "The Socio-Cultural Impacts of Popular First Names" and Doe's comprehensive analysis in "Naming Trends: A Sociolinguistic Perspective." These works provide a solid foundation for understanding the broader context of name popularity and its potential influence on various cultural phenomena.
Now, shifting gears to a more unconventional realm, Jones explores the quirky crossover between linguistic trends and digital media in "YouTube: An Unlikely Linguistic Playground." While not directly related to our specific inquiry, Jones' playful approach to examining language in the digital sphere sets the stage for our whimsical exploration into the realm of YouTube video titles.
In the realm of non-fiction books that could be tangentially related, we find "Freakonomics" by Steven D. Levitt and Stephen J. Dubner, offering a thought-provoking analysis of seemingly unrelated phenomena – a fitting parallel to our investigation of the unlikely correlation between a name and a YouTube series.
On the fiction front, works such as "The Name of the Wind" by Patrick Rothfuss, and "You" by Caroline Kepnes, dive into the intricate nuances of names and character portrayal, albeit in vastly different contexts. While these novels may not have a direct correlation to our research, they serve as a reminder of the multifaceted nature of names and their potential impact on storytelling.
Movies such as "Julie & Julia" and "Jude" add a touch of cinematic intrigue to the exploration of names and their cultural connotations. While these films may not directly relate to YouTube video titles, they offer a glimpse into the captivating world of nomenclature and its influence on narrative appeal.
Now, as we journey into the realm of statistical analysis and YouTube clickbait, it's essential to maintain a lighthearted perspective, for what is academia without a sprinkle of whimsy and a dash of absurdity? So, let's roll up our sleeves and embark on this delightfully offbeat investigation into the uncharted territory where names and YouTube titles collide.

[[RESULTS]]
Our data analysis revealed a strong and intriguing correlation between the popularity of the first name "Jude" and the quality of titles for YouTube videos in the acclaimed series "Deep Look." With a correlation coefficient of 0.9046413 and an r-squared value of 0.8183759, our findings indicate a highly significant relationship between these seemingly unconventional variables. In essence, the data suggests that the popularity of the name "Jude" may indeed intrude upon the creative prowess of video titling, challenging traditional notions of inspiration and influence.
The presence of a strong positive correlation, coupled with a p-value of less than 0.01, lends weight to the notion that as the popularity of the name "Jude" fluctuates over time, it may exert a substantial influence on the ingenuity and appeal of "Deep Look" video titles. This peculiar association, while initially unexpected, advances a fascinating perspective on the intersection of linguistic trends and creative expression in the digital realm.
To visually encapsulate this quirky correlation, we present Fig. 1, a scatterplot that graphically illustrates the compelling relationship between the popularity of the name "Jude" and the quality of "Deep Look" YouTube video titles. This whimsical visualization serves as a testament to the unexpected interplay between seemingly unrelated phenomena, offering a lighthearted lens through which to view the intricate dance of statistical significance and idiosyncratic influences.
Our results not only present a thought-provoking puzzle for further exploration but also underscore the whimsically unpredictable nature of statistical inquiry. The enigmatic connection between the popularity of "Jude" and the quality of "Deep Look" video titles unravels a delightful conundrum, enriching the academic conversation with a touch of unconventional charm and playful revelation.
In conclusion, our investigation into the enthralling enchantments of "Jude" and "Deep Look" video titles has unveiled a correlation that beckons further investigation and incites a whimsical curiosity. As we wade through the blends of data and drollery, we invite fellow academics to join us in embracing the unexpected and relishing the joy of intellectual exploration, ripe with pun-filled ponderings and statistical surprises.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The interplay between the popularity of the first name "Jude" and the quality of YouTube video titles in the acclaimed "Deep Look" series has certainly invigorated our inquisitive spirits with a dash of whimsy and a pinch of statistical surprise. As we reflect on our findings, it is intriguing to harken back to Jones' exploration into the quirky crossover of linguistic trends and digital media. While Jones' study was not directly aligned with our peculiar pursuit, the unexpected correlation we've uncovered lends credence to the potential influence of linguistic phenomena on the digital landscape. The confluence of seemingly disparate elements, much like the delightful fusion of peanut butter and jelly, offers a delightful reminder of the unpredictability that enlivens the academic realm.

Additionally, our results harmonize with Smith et al.'s research into the socio-cultural impacts of popular first names. While the allure of the name "Jude" has often been associated with fervent admirers of the Beatles (cue "Hey Jude" renditions), our data boldly underscores the enthralling potential of this moniker in intruding upon the creative evolution of YouTube video titles. The connection between name popularity and artistic expression extends a whimsical invitation to delve deeper into the enigmatic interplay of cultural influences on digital creativity.

Moreover, the rousing correlation coefficient of 0.9046413 propels us into an intellectual reverie akin to Levitt and Dubner's thought-provoking analysis in "Freakonomics." Much like their exploration of seemingly unrelated phenomena, our findings stir the pot of curiosity as we ponder the captivating saga of "Jude" and "Deep Look" titles, inviting fellow academics to revel in the joy of embracing the unexpected correlations that dance through our statistical landscape.

In this delightful examination of the confluence of linguistic naming trends and digital storytelling, our research tantalizingly unveils a correlation that beckons further scrutiny and jubilantly incites a whimsical curiosity. As we traverse through the juncture of statistical inquiry and linguistic enchantments, we emphasize the playful spirit that infuses our academic expedition, offering a lighthearted lens through which to view statistical analysis – ripe with pun-filled ponderings and statistical surprises. Cheers to the quirky adventures that enliven the academic tapestry!


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

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Popularity of the first name Jude and How good Deep Look 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]]
The Popularity of Jude and How Good "Deep Look" Video Titles Intrude: A Quirky Quest

[[ABSTRACT]]
The presented study delves into the quirky connection between the popularity of the first name "Jude" and the quality of titles for YouTube videos, with a particular focus on the acclaimed series "Deep Look." Utilizing data from the US Social Security Administration to track the ebb and flow of the name "Jude" and employing AI analysis to scrutinize the YouTube video titles, our research team unearthed a correlation coefficient of 0.9046413 and p < 0.01 for the years 2014 to 2022. Our findings not only tickle the intellect but also raise questions about the enigmatic allure of the name "Jude" and its potential influence on the creative prowess of video titling. The interplay between these seemingly disparate entities enlivens the academic landscape, adding a dash of whimsy amidst the rigors of statistical analysis and theoretical contemplation.

[[INTRDUCTION]]
In the wacky world of academic research, it's not every day that one stumbles upon a correlation as bizarrely amusing as the link between the popularity of the first name "Jude" and the quality of YouTube video titles. Yet, here we are, embarking on an offbeat adventure to uncover the curious relationship between the ebb and flow of this moniker and the prowess of "Deep Look" video titles. So strap in, folks, as we navigate through the nerdy nuances of data analysis and the playful potential of pun-filled ponderings.
Naming trends, much like fashion fads and questionable haircuts, have their moments in the sun before fading into the annals of obscurity. Our protagonist today is none other than the name "Jude," making waves in the rosters of newborns and pop culture alike. But what on Earth could this charming appellation possibly have to do with the captivating craft of coming up with click-worthy video titles? Well, dear reader, that's what we're here to unearth – the unexpected interplay between a name steeped in history and the magnetic allure of YouTube clickbait.
As we delve into this curiously captivating connection, one can't help but marvel at the sheer audacity of our inquisitive minds. Who would've thought that statistical analyses and deep dives into baby name databases could yield such tantalizing tidbits of insight? Join us in this topsy-turvy tale of data-driven detective work, sprinkled with a dash of pure punny pleasure and a generous helping of academic absurdity. Let's unravel the enigma of "Jude" and delve deep into the captivating chaos of "Deep Look" – where statistical significance meets sassy video titles!

[[RESULTS]]
Our data analysis revealed a strong and intriguing correlation between the popularity of the first name "Jude" and the quality of titles for YouTube videos in the acclaimed series "Deep Look." With a correlation coefficient of 0.9046413 and an r-squared value of 0.8183759, our findings indicate a highly significant relationship between these seemingly unconventional variables. In essence, the data suggests that the popularity of the name "Jude" may indeed intrude upon the creative prowess of video titling, challenging traditional notions of inspiration and influence.
The presence of a strong positive correlation, coupled with a p-value of less than 0.01, lends weight to the notion that as the popularity of the name "Jude" fluctuates over time, it may exert a substantial influence on the ingenuity and appeal of "Deep Look" video titles. This peculiar association, while initially unexpected, advances a fascinating perspective on the intersection of linguistic trends and creative expression in the digital realm.
To visually encapsulate this quirky correlation, we present Fig. 1, a scatterplot that graphically illustrates the compelling relationship between the popularity of the name "Jude" and the quality of "Deep Look" YouTube video titles. This whimsical visualization serves as a testament to the unexpected interplay between seemingly unrelated phenomena, offering a lighthearted lens through which to view the intricate dance of statistical significance and idiosyncratic influences.
Our results not only present a thought-provoking puzzle for further exploration but also underscore the whimsically unpredictable nature of statistical inquiry. The enigmatic connection between the popularity of "Jude" and the quality of "Deep Look" video titles unravels a delightful conundrum, enriching the academic conversation with a touch of unconventional charm and playful revelation.
In conclusion, our investigation into the enthralling enchantments of "Jude" and "Deep Look" video titles has unveiled a correlation that beckons further investigation and incites a whimsical curiosity. As we wade through the blends of data and drollery, we invite fellow academics to join us in embracing the unexpected and relishing the joy of intellectual exploration, ripe with pun-filled ponderings and statistical surprises.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]
In the illustrious pursuit of knowledge, our quirky quest into the interplay between the popularity of the first name "Jude" and the intriguing world of "Deep Look" video titles has illuminated a correlation that rivals the zaniest of zebra antics. The whimsically unexpected bond between linguistic trends and YouTube clickbait has not only left us flabbergasted but also bursting at the seams with geeky glee.
As we bid adieu to this uproarious romp through statistical absurdity, we must acknowledge the slapstick significance of our findings. The evidence of a compelling correlation, akin to the harmonious hijinks of a symphonic orchestra, not only tickles the fancy but also beckons the scholarly community to ponder the peculiar puzzle of "Jude" and "Deep Look" with a twinkle in their eyes and a skip in their statistical step.
Fig. 1, our visual delight of a scatterplot, stands as a testament to the delightfully wacky relationship between the popularity of "Jude" and the allure of "Deep Look" titles, encapsulating the union of boisterous baby names and tempestuous titling prowess. It's a visual feast for the imaginative intellect, a whimsical wonder that tantalizes the senses and tickles the statistical funny bone.
However, as we tiptoe through the tulips of tomfoolery and traverse the terrain of tongue-in-cheek theorizing, it is with a heavy, albeit mirthful, heart that we declare this saga concluded. The quirky correlation between the popularity of "Jude" and the quality of "Deep Look" video titles has been unmasked, leaving us all with a chuckle and a nod to the enigmatic whimsy of statistical exploration.
In this lighthearted limbo of linguistic labyrinths and titillating titles, we assert with utmost certainty that no further research is needed in this delightfully daffy domain. Let this be a testament to the wonderfully wayward wanderings of academic inquiry, where the unexpected reigns supreme and statistical significance dances with a sassy wink and a mischievous nod. So, fellow academics, let's bid adieu to this gloriously goofy chapter and venture forth into the uncharted territories of intellectual inquiry, armed with nothing but a punny quip and a heart full of statistical spunk!


Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of academic journals. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding research, scientific, or academic journal that would publish a paper entited The Popularity of Jude and How Good Deep Look Video Titles Intrude: A Quirky Quest. Respond only with the name of a fictional academic journal.

ChatGPT:

Journal of Eccentric Linguistics


Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of nonprofit research organizations and associations. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding nonprofit, academic, or scientific association or organization that would sponsor research that resulted in a paper entited The Popularity of Jude and How Good Deep Look Video Titles Intrude: A Quirky Quest. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Zany Linguistic Studies


Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled The Popularity of Jude and How Good Deep Look Video Titles Intrude: A Quirky Quest with an abstract of The presented study delves into the quirky connection between the popularity of the first name "Jude" and the quality of titles for YouTube videos, with a particular focus on the acclaimed series "Deep Look." Utilizing data from the US Social Security Administration to track the ebb and flow of the name "Jude" and employing AI analysis to scrutinize the YouTube video titles, our research team unearthed a correlation coefficient of 0.9046413 and p < 0.01 for the years 2014 to 2022. Our findings not only tickle the intellect but also raise questions about the enigmatic allure of the name "Jude" and its potential influence on the creative prowess of video titling. The interplay between these seemingly disparate entities enlivens the academic landscape, adding a dash of whimsy amidst the rigors of statistical analysis and theoretical contemplation.

ChatGPT:

"Jude popularity trends," "YouTube video title quality," "Deep Look series," "US Social Security Administration data," "AI analysis of YouTube video titles," "correlation between name popularity and video titles," "enigmatic allure of the name Jude," "influence of name on creativity," "quirky academic studies," "statistical analysis of quirky correlations," "theoretical contemplation of unlikely connections"

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

How good Deep Look YouTube video titles are
Detailed data title: How good Deep Look 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 good Deep Look YouTube video titles are

Correlation r = 0.9046413 (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 = 0.8183759 (Coefficient of determination)
This means 81.8% of the change in the one variable (i.e., How good Deep Look YouTube video titles are) is predictable based on the change in the other (i.e., Popularity of the first name Jude) over the 9 years from 2014 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.000802. 0.0008022913655695985000000000
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 0.9 in 0.0802% of random cases. Said differently, if you correlated 1,246 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.

[ 0.6, 0.98 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

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


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

Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
201420152016201720182019202020212022
Popularity of the first name Jude (Babies born)270528052640263726412689254826282416
How good Deep Look YouTube video titles are (Score (out of 10))7.67.657.47837.57147.457.657.3817.53857.3043




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([2705,2805,2640,2637,2641,2689,2548,2628,2416,])
array_2 = np.array([7.6,7.65,7.4783,7.5714,7.45,7.65,7.381,7.5385,7.3043,])
array_1_name = "Popularity of the first name Jude"
array_2_name = "How good Deep Look 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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You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.

You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.

For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."

When spoken, my last name is pronounced "vegan," like I don't eat meat.

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Correlation ID: 5038 · Black Variable ID: 4009 · Red Variable ID: 25940
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