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Spurious correlation #5,852 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is How nerdy Tom Scott's YouTube video titles are and the second variable is The number of movies Mila Kunis appeared in.  The chart goes from 2009 to 2022, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

As more people watched Mila Kunis in various movies, they realized they had less time to watch nerdy Tom Scott videos because they were too busy keeping up with her filmography.

Model: dalle-3
Prompt: An image that looks like it is a scene from 'Star Wars', depicting this scene: In a cozy living room, a stack of Mila Kunis movie DVDs keeps growing on the coffee table as a nerdy Tom Scott YouTube video plays in the background. The DVDs pile higher as Tom Scott's videos intermittently catch the eye of the viewer, reflecting the dilemma of balancing the increasing movie list with the desire to watch informative and entertaining videos. The lighting is ambient, and there is a futuristic touch to the design of the room, with sleek, modern furniture and holographic elements integrated into the decor. The scene exudes a sense of the intersection between pop culture entertainment and intellectual curiosity, with the imagery blending the comfort of home with futuristic elements reminiscent of the 'Star Wars' universe. 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 nerdy Tom Scott YouTube video titles are and The number of movies Mila Kunis appeared in. 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: Cute 2D animation Surrealism inspired by bauhaus An image that looks like it is a scene from 'Star Wars' 3D Pixar Style
ChatGPT: An image that looks like it is a scene from 'Star Wars'

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 nerdy Tom Scott YouTube video titles are and The number of movies Mila Kunis appeared in, in the following situation: As more people watched Mila Kunis in various movies, they realized they had less time to watch nerdy Tom Scott videos because they were too busy keeping up with her filmography.. Keep the description simple.
ChatGPT: In a cozy living room, a stack of Mila Kunis movie DVDs keeps growing on the coffee table as a nerdy Tom Scott YouTube video plays in the background, competing for attention with the increasing number of films. The number of DVDs piles higher as Tom Scott's videos intermittently catch the eye of the viewer, reflecting the dilemma of balancing the increasing movie list with the desire to watch informative and entertaining videos.

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: [ An image that looks like it is a scene from 'Star Wars' ] and depicting this scene: In a cozy living room, a stack of Mila Kunis movie DVDs keeps growing on the coffee table as a nerdy Tom Scott YouTube video plays in the background, competing for attention with the increasing number of films. The number of DVDs piles higher as Tom Scott's videos intermittently catch the eye of the viewer, reflecting the dilemma of balancing the increasing movie list with the desire to watch informative and entertaining videos. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: An image that looks like it is a scene from 'Star Wars', depicting this scene: In a cozy living room, a stack of Mila Kunis movie DVDs keeps growing on the coffee table as a nerdy Tom Scott YouTube video plays in the background. The DVDs pile higher as Tom Scott's videos intermittently catch the eye of the viewer, reflecting the dilemma of balancing the increasing movie list with the desire to watch informative and entertaining videos. The lighting is ambient, and there is a futuristic touch to the design of the room, with sleek, modern furniture and holographic elements integrated into the decor. The scene exudes a sense of the intersection between pop culture entertainment and intellectual curiosity, with the imagery blending the comfort of home with futuristic elements reminiscent of the 'Star Wars' universe.

*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 How nerdy Tom Scott YouTube video titles are caused The number of movies Mila Kunis appeared in to decrease.

AI academic paper

(Because p < 0.01)
Nerdy Tom Scott and Mila Kunis: A Rhyming Revelation

The Journal of Celebrity Rhymeology

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 How nerdy Tom Scott YouTube video titles are and The number of movies Mila Kunis appeared in. 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 The Movie DB to assess this nagging question. You found a correlation coefficient of 0.9235807 and p < 0.01 for 2009 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]]
Nerdy Tom Scott and Mila Kunis: A Rhyming Revelation

[[ABSTRACT]]
The interplay between nerdy YouTube video titles and celebrity film appearances has long been the subject of scholarly curiosity. In this light-hearted yet academically rigorous study, we delve into the seemingly whimsical connection between the nerdy vibes of Tom Scott's YouTube video titles and the cinematic presence of the ever-charming Mila Kunis. Through meticulous AI analysis of YouTube video titles and data mining from The Movie DB, we set out to unveil the intriguing correlation between these seemingly unrelated entities.

Our findings have left us in a state of delightful disbelief, revealing a startling correlation coefficient of 0.9235807 and a statistically significant p-value of less than 0.01 for the time period spanning from 2009 to 2022. While skeptics may dismiss our findings as mere happenstance, we argue that there is more than meets the eye when it comes to the whimsical world of nerdy YouTube titles and the silver screen stardom of Mila Kunis.

So, join us in this offbeat journey through the realms of entertainers and internet culture as we uncover the mysteriously playful connection between nerdy Tom Scott titles and the cinematic endeavors of the charming Mila Kunis. It's a rhyming revelation that will leave you pondering the unexpected links in the vibrant tapestry of popular culture.


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

Please make up the introduction section of an academic research paper presenting the findings of the connection between How nerdy Tom Scott YouTube video titles are and The number of movies Mila Kunis appeared in. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Here is the title and abstract of the paper:
[[TITLE]]
Nerdy Tom Scott and Mila Kunis: A Rhyming Revelation

[[ABSTRACT]]
The interplay between nerdy YouTube video titles and celebrity film appearances has long been the subject of scholarly curiosity. In this light-hearted yet academically rigorous study, we delve into the seemingly whimsical connection between the nerdy vibes of Tom Scott's YouTube video titles and the cinematic presence of the ever-charming Mila Kunis. Through meticulous AI analysis of YouTube video titles and data mining from The Movie DB, we set out to unveil the intriguing correlation between these seemingly unrelated entities.

Our findings have left us in a state of delightful disbelief, revealing a startling correlation coefficient of 0.9235807 and a statistically significant p-value of less than 0.01 for the time period spanning from 2009 to 2022. While skeptics may dismiss our findings as mere happenstance, we argue that there is more than meets the eye when it comes to the whimsical world of nerdy YouTube titles and the silver screen stardom of Mila Kunis.

So, join us in this offbeat journey through the realms of entertainers and internet culture as we uncover the mysteriously playful connection between nerdy Tom Scott titles and the cinematic endeavors of the charming Mila Kunis. It's a rhyming revelation that will leave you pondering the unexpected links in the vibrant tapestry of popular culture.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
Introduction

When one delves into the labyrinthine realm of internet culture, one may stumble upon the seemingly incongruous blend of nerdy YouTube video titles and the silver screen charisma of beloved celebrities. Amidst this conundrum, the curious case of Tom Scott's nerdy YouTube video titles and the cinematic endeavors of Mila Kunis emerges as a peculiar enigma, ready to be unravelled. While on the surface, this concoction may appear no more than a whimsical pairing of disparate entities, our study seeks to embark on a voyage of discovery, peeling back the layers of this seemingly light-hearted association to reveal a surprising underlying correlation.

As with any scholarly pursuit, it is essential to ground our investigation in empirical evidence and methodological rigor. Through the deployment of advanced artificial intelligence techniques and a comprehensive trawl through The Movie DB's extensive databanks, we conducted a thorough analysis covering the period from 2009 to 2022. Our goal was to unearth any perceptible connection between the idiosyncratic nature of Tom Scott's video titles and the frequency of Mila Kunis's appearances on the silver screen.

The initial skepticism that lingered in the intellectual corridors of academia was met with an unanticipated turn of events. Our painstaking analysis bore fruit, unveiling a correlation coefficient of 0.9235807 and a strikingly statistically significant p-value less than 0.01. This revelation raised eyebrows and unleashed a wave of curiosity amongst our scholarly peers, leading us to assert that there is more than meets the eye in the serendipitous intersection of nerdy YouTube titles and Mila Kunis's cinematic escapades.

Despite the light-hearted nature of our subject matter, we assure the reader that our inquiry has been conducted with the utmost seriousness and meticulous attention to scientific principles. Therefore, as we embark on this lighthearted journey into the curious connection between Tom Scott's nerdy video titles and the cinematic ventures of Mila Kunis, we invite you to accompany us into the labyrinth of whimsy that threads the fabric of popular culture. This playful venture, as we shall demonstrate, has the potential to leave an indelible imprint on the broader scholarly discourse, challenging preconceived notions and inviting further exploration.

So, buckle up and prepare for a journey through the unexpected, as we set out to unearth the secret harmonies between the nerdy and the silver-screened. It's a rhyming revelation that might just blur the lines between the nerdy and the noteworthy, leaving us to dwell on the whimsical connections that underpin our vibrant cultural tapestry.


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

Please make up a literature review section of an academic research paper presenting the findings of the connection between How nerdy Tom Scott YouTube video titles are and The number of movies Mila Kunis appeared in. Make lots of jokes, goofy observations, and puns.

Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.

Make up the lorem and ipsum part, but make it sound related to the topic at hand.

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then you might move on to cartoons and children's shows that you watched for research.

Here is the title and abstract of the paper:
[[TITLE]]
Nerdy Tom Scott and Mila Kunis: A Rhyming Revelation

[[ABSTRACT]]
The interplay between nerdy YouTube video titles and celebrity film appearances has long been the subject of scholarly curiosity. In this light-hearted yet academically rigorous study, we delve into the seemingly whimsical connection between the nerdy vibes of Tom Scott's YouTube video titles and the cinematic presence of the ever-charming Mila Kunis. Through meticulous AI analysis of YouTube video titles and data mining from The Movie DB, we set out to unveil the intriguing correlation between these seemingly unrelated entities.

Our findings have left us in a state of delightful disbelief, revealing a startling correlation coefficient of 0.9235807 and a statistically significant p-value of less than 0.01 for the time period spanning from 2009 to 2022. While skeptics may dismiss our findings as mere happenstance, we argue that there is more than meets the eye when it comes to the whimsical world of nerdy YouTube titles and the silver screen stardom of Mila Kunis.

So, join us in this offbeat journey through the realms of entertainers and internet culture as we uncover the mysteriously playful connection between nerdy Tom Scott titles and the cinematic endeavors of the charming Mila Kunis. It's a rhyming revelation that will leave you pondering the unexpected links in the vibrant tapestry of popular culture.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
Introduction
When one delves into the labyrinthine realm of internet culture, one may stumble upon the seemingly incongruous blend of nerdy YouTube video titles and the silver screen charisma of beloved celebrities. Amidst this conundrum, the curious case of Tom Scott's nerdy YouTube video titles and the cinematic endeavors of Mila Kunis emerges as a peculiar enigma, ready to be unravelled. While on the surface, this concoction may appear no more than a whimsical pairing of disparate entities, our study seeks to embark on a voyage of discovery, peeling back the layers of this seemingly light-hearted association to reveal a surprising underlying correlation.
As with any scholarly pursuit, it is essential to ground our investigation in empirical evidence and methodological rigor. Through the deployment of advanced artificial intelligence techniques and a comprehensive trawl through The Movie DB's extensive databanks, we conducted a thorough analysis covering the period from 2009 to 2022. Our goal was to unearth any perceptible connection between the idiosyncratic nature of Tom Scott's video titles and the frequency of Mila Kunis's appearances on the silver screen.
The initial skepticism that lingered in the intellectual corridors of academia was met with an unanticipated turn of events. Our painstaking analysis bore fruit, unveiling a correlation coefficient of 0.9235807 and a strikingly statistically significant p-value less than 0.01. This revelation raised eyebrows and unleashed a wave of curiosity amongst our scholarly peers, leading us to assert that there is more than meets the eye in the serendipitous intersection of nerdy YouTube titles and Mila Kunis's cinematic escapades.
Despite the light-hearted nature of our subject matter, we assure the reader that our inquiry has been conducted with the utmost seriousness and meticulous attention to scientific principles. Therefore, as we embark on this lighthearted journey into the curious connection between Tom Scott's nerdy video titles and the cinematic ventures of Mila Kunis, we invite you to accompany us into the labyrinth of whimsy that threads the fabric of popular culture. This playful venture, as we shall demonstrate, has the potential to leave an indelible imprint on the broader scholarly discourse, challenging preconceived notions and inviting further exploration.
So, buckle up and prepare for a journey through the unexpected, as we set out to unearth the secret harmonies between the nerdy and the silver-screened. It's a rhyming revelation that might just blur the lines between the nerdy and the noteworthy, leaving us to dwell on the whimsical connections that underpin our vibrant cultural tapestry.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

In the nuanced realm of pop culture analysis, the dance between seemingly unrelated entities has long captivated scholarly minds. While the study of nerdy YouTube video titles and the filmography of Mila Kunis may seem like an odd pairing, the literature offers a range of perspectives on the unexpected connections that underpin this seemingly whimsical amalgamation.

In "The Quirky Quandary of Entertainment Puzzles," Smith delves into the enigmatic world of odd pairings within the entertainment industry, shedding light on the serendipitous collisions of seemingly unrelated elements. Similarly, Doe, in "The Crossroads of Quirky and Quotidian," explores the delightful surprise that emerges when two disparate domains collide in the public consciousness. Their work serves as an anchor, guiding our foray into the interplay of nerdy YouTube titles and the cinematic presence of Mila Kunis.

Moving into the world of non-fiction literature, works such as "Nerdy by Nature" by Johnson and "Silver Screen Charisma" by Thompson offer insightful perspectives on the intersection of internet culture and celebrity allure. These texts provide a backdrop for our inquiry, offering nuanced insights into the undercurrents that shape the interactions between digital spaces and the glitz of Hollywood.

Furthermore, in the realm of fiction literature, titles such as "The Nerdy Nexus" by Ryan and "Cinematic Serendipity" by Parker present fictional narratives that may, at first glance, seem unrelated to our scholarly pursuit. However, their exploration of unexpected connections and playful juxtapositions offers a whimsical mirror to the present study's playful exploration.

As we venture into the unexpected, it is also essential to note the educational groundwork laid by children's cartoons and TV shows. The likes of "Phineas and Ferb" and "SpongeBob SquarePants" subtly introduce young minds to the plausible magic of seemingly unrelated elements finding common ground, preparing them for the ticklish terrain we explore in this study.

Braced with the weight of these scholarly and literary works, we find ourselves poised at the confluence of nerdy vivacity and silver screen adulation, ready to embark on this offbeat expedition to unravel the intricate dance of nerdy titles and cinematic charm. It's a journey that will challenge preconceived notions and spark a grin, leaving us to marvel at the whimsical connections that shape our cultural fabric.


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

Please make up the methodology section of an academic research paper presenting the findings of the connection between How nerdy Tom Scott YouTube video titles are and The number of movies Mila Kunis appeared in. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from AI analysis of YouTube video titles and The Movie DB . You used data from 2009 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]]
Nerdy Tom Scott and Mila Kunis: A Rhyming Revelation

[[ABSTRACT]]
The interplay between nerdy YouTube video titles and celebrity film appearances has long been the subject of scholarly curiosity. In this light-hearted yet academically rigorous study, we delve into the seemingly whimsical connection between the nerdy vibes of Tom Scott's YouTube video titles and the cinematic presence of the ever-charming Mila Kunis. Through meticulous AI analysis of YouTube video titles and data mining from The Movie DB, we set out to unveil the intriguing correlation between these seemingly unrelated entities.

Our findings have left us in a state of delightful disbelief, revealing a startling correlation coefficient of 0.9235807 and a statistically significant p-value of less than 0.01 for the time period spanning from 2009 to 2022. While skeptics may dismiss our findings as mere happenstance, we argue that there is more than meets the eye when it comes to the whimsical world of nerdy YouTube titles and the silver screen stardom of Mila Kunis.

So, join us in this offbeat journey through the realms of entertainers and internet culture as we uncover the mysteriously playful connection between nerdy Tom Scott titles and the cinematic endeavors of the charming Mila Kunis. It's a rhyming revelation that will leave you pondering the unexpected links in the vibrant tapestry of popular culture.

[[INTRODUCTION]]
Introduction
When one delves into the labyrinthine realm of internet culture, one may stumble upon the seemingly incongruous blend of nerdy YouTube video titles and the silver screen charisma of beloved celebrities. Amidst this conundrum, the curious case of Tom Scott's nerdy YouTube video titles and the cinematic endeavors of Mila Kunis emerges as a peculiar enigma, ready to be unravelled. While on the surface, this concoction may appear no more than a whimsical pairing of disparate entities, our study seeks to embark on a voyage of discovery, peeling back the layers of this seemingly light-hearted association to reveal a surprising underlying correlation.
As with any scholarly pursuit, it is essential to ground our investigation in empirical evidence and methodological rigor. Through the deployment of advanced artificial intelligence techniques and a comprehensive trawl through The Movie DB's extensive databanks, we conducted a thorough analysis covering the period from 2009 to 2022. Our goal was to unearth any perceptible connection between the idiosyncratic nature of Tom Scott's video titles and the frequency of Mila Kunis's appearances on the silver screen.
The initial skepticism that lingered in the intellectual corridors of academia was met with an unanticipated turn of events. Our painstaking analysis bore fruit, unveiling a correlation coefficient of 0.9235807 and a strikingly statistically significant p-value less than 0.01. This revelation raised eyebrows and unleashed a wave of curiosity amongst our scholarly peers, leading us to assert that there is more than meets the eye in the serendipitous intersection of nerdy YouTube titles and Mila Kunis's cinematic escapades.
Despite the light-hearted nature of our subject matter, we assure the reader that our inquiry has been conducted with the utmost seriousness and meticulous attention to scientific principles. Therefore, as we embark on this lighthearted journey into the curious connection between Tom Scott's nerdy video titles and the cinematic ventures of Mila Kunis, we invite you to accompany us into the labyrinth of whimsy that threads the fabric of popular culture. This playful venture, as we shall demonstrate, has the potential to leave an indelible imprint on the broader scholarly discourse, challenging preconceived notions and inviting further exploration.
So, buckle up and prepare for a journey through the unexpected, as we set out to unearth the secret harmonies between the nerdy and the silver-screened. It's a rhyming revelation that might just blur the lines between the nerdy and the noteworthy, leaving us to dwell on the whimsical connections that underpin our vibrant cultural tapestry.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To unravel the unconventional correlation between the nerdy charm of Tom Scott's YouTube video titles and the cinematic allure of Mila Kunis, we devised a methodological approach that was as whimsical as the subject matter itself. Our journey began with the indulgence of advanced artificial intelligence (AI) techniques to meticulously sift through the extensive repository of Tom Scott's YouTube video titles. We then turned our attention to The Movie DB, utilizing cutting-edge data mining strategies to extract every morsel of information related to Mila Kunis' silver screen appearances from 2009 to 2022.

The utilization of AI for analyzing YouTube video titles truly encompassed a technological odyssey, akin to traversing the digital seven seas to discern the underlying ethos of "nerdiness" in Tom Scott's creative titling endeavors. The algorithms we deployed were trained to detect the very essence of "nerdiness," which, as it turned out, involved an intricate analysis of linguistic patterns, contextual references, and the occasional appearance of hexadecimal Easter eggs hidden within the titles.

Meanwhile, our foray into The Movie DB resembled a bustling treasure hunt, as we navigated through the labyrinthine corridors of film metadata to compile an exhaustive list of Mila Kunis' cinematic outings, be they in blockbusters or indie gems. Our data mining exploits involved parsing through troves of data, evoking the image of proverbially sifting through cinematic haystacks to pinpoint the jewels of Kunis' performances.

With our AI analysis and data mining providing us with a treasure trove of digital riches, we sought to establish a robust quantitative framework for our investigation. Employing statistical methods that would have made even the most fastidious of numismatists proud, we calculated the correlation coefficient and p-value to measure the strength and significance of the observed relationship between Tom Scott's nerdy video titles and the frequency of Mila Kunis' appearances on the silver screen.

In this endeavor, we spared no computational expense, meticulously constructing regression models and conducting hypothesis tests that may have even elicited nods of approval from the academia's statistical sages. Our rigorous statistical analyses culminated in the unveiling of a correlation coefficient that left us in a state of bemused astonishment, and a p-value that defied the odds with its sheer statistical audacity.

Thus, our methodological escapade was not merely a conventional scientific endeavor but an odyssey into the whimsical realms of AI, data mining, and statistical inference, all in pursuit of understanding the enigmatic correlation between the nerdy and the silver-screened. Our methodology stands as a testament to our commitment to unlocking the playful secrets that underpin the seemingly serendipitous intersection of Tom Scott's nerdy YouTube titles and Mila Kunis' cinematic exploits.

As we venture forth into the disclosure of our findings, we invite you, dear reader, to partake in the mirthful revelations that await, as the realm of the nerdy collides with the kingdom of filmic enchantment in a rhyming revelation that defies conventional scholarly expectations.


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

Please make up the results section of an academic research paper presenting the findings of the connection between How nerdy Tom Scott YouTube video titles are and The number of movies Mila Kunis appeared in. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

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

For the time period 2009 to 2022, you found a correlation 0.9235807, r-squared of 0.8530013, 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]]
Nerdy Tom Scott and Mila Kunis: A Rhyming Revelation

[[ABSTRACT]]
The interplay between nerdy YouTube video titles and celebrity film appearances has long been the subject of scholarly curiosity. In this light-hearted yet academically rigorous study, we delve into the seemingly whimsical connection between the nerdy vibes of Tom Scott's YouTube video titles and the cinematic presence of the ever-charming Mila Kunis. Through meticulous AI analysis of YouTube video titles and data mining from The Movie DB, we set out to unveil the intriguing correlation between these seemingly unrelated entities.

Our findings have left us in a state of delightful disbelief, revealing a startling correlation coefficient of 0.9235807 and a statistically significant p-value of less than 0.01 for the time period spanning from 2009 to 2022. While skeptics may dismiss our findings as mere happenstance, we argue that there is more than meets the eye when it comes to the whimsical world of nerdy YouTube titles and the silver screen stardom of Mila Kunis.

So, join us in this offbeat journey through the realms of entertainers and internet culture as we uncover the mysteriously playful connection between nerdy Tom Scott titles and the cinematic endeavors of the charming Mila Kunis. It's a rhyming revelation that will leave you pondering the unexpected links in the vibrant tapestry of popular culture.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
Introduction
When one delves into the labyrinthine realm of internet culture, one may stumble upon the seemingly incongruous blend of nerdy YouTube video titles and the silver screen charisma of beloved celebrities. Amidst this conundrum, the curious case of Tom Scott's nerdy YouTube video titles and the cinematic endeavors of Mila Kunis emerges as a peculiar enigma, ready to be unravelled. While on the surface, this concoction may appear no more than a whimsical pairing of disparate entities, our study seeks to embark on a voyage of discovery, peeling back the layers of this seemingly light-hearted association to reveal a surprising underlying correlation.
As with any scholarly pursuit, it is essential to ground our investigation in empirical evidence and methodological rigor. Through the deployment of advanced artificial intelligence techniques and a comprehensive trawl through The Movie DB's extensive databanks, we conducted a thorough analysis covering the period from 2009 to 2022. Our goal was to unearth any perceptible connection between the idiosyncratic nature of Tom Scott's video titles and the frequency of Mila Kunis's appearances on the silver screen.
The initial skepticism that lingered in the intellectual corridors of academia was met with an unanticipated turn of events. Our painstaking analysis bore fruit, unveiling a correlation coefficient of 0.9235807 and a strikingly statistically significant p-value less than 0.01. This revelation raised eyebrows and unleashed a wave of curiosity amongst our scholarly peers, leading us to assert that there is more than meets the eye in the serendipitous intersection of nerdy YouTube titles and Mila Kunis's cinematic escapades.
Despite the light-hearted nature of our subject matter, we assure the reader that our inquiry has been conducted with the utmost seriousness and meticulous attention to scientific principles. Therefore, as we embark on this lighthearted journey into the curious connection between Tom Scott's nerdy video titles and the cinematic ventures of Mila Kunis, we invite you to accompany us into the labyrinth of whimsy that threads the fabric of popular culture. This playful venture, as we shall demonstrate, has the potential to leave an indelible imprint on the broader scholarly discourse, challenging preconceived notions and inviting further exploration.
So, buckle up and prepare for a journey through the unexpected, as we set out to unearth the secret harmonies between the nerdy and the silver-screened. It's a rhyming revelation that might just blur the lines between the nerdy and the noteworthy, leaving us to dwell on the whimsical connections that underpin our vibrant cultural tapestry.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The analysis of data collected from a myriad of online sources yielded a correlation coefficient of 0.9235807, accompanied by an r-squared value of 0.8530013, for the period spanning from 2009 to 2022. These figures boldly underscore the unexpected and seemingly whimsical association between the nerdy vibes exuded by Tom Scott's YouTube video titles and the prolific on-screen presence of the ever-enchanting Mila Kunis.

Upon the canvas of our scatterplot (Fig. 1), the unmistakable clustering of data points traced a compelling narrative, illustrating the pronounced correlation between the two variables. The strong linear relationship observed between the nerdy allure of Tom Scott's video titles and the frequency of Mila Kunis's appearances in movies left us in a state of delightful disbelief, challenging preconceived notions and inviting a closer examination of the harmonious interplay between internet subculture and the glitz of Hollywood.

While the casual observer may dismiss our findings as mere coincidence, we contend that there is more at play beneath the surface of these seemingly incongruous elements. The statistically significant p-value of less than 0.01, coupled with the substantial r-squared value, serves as a testament to the robustness and reliability of our discovery. This revelation, while lighthearted in its origins, has the potential to prompt a broader rethinking of the harmonious interplay between seemingly unrelated facets of popular culture.

In light of these findings, we assert that there exists an unexpectedly strong correlation between the nerdy titling tendencies of Tom Scott's YouTube videos and the cinematic frequency of the captivating Mila Kunis. This insight opens the gateway to further scholarly inquiry and prompts a reconsideration of the subtle, yet surprisingly impactful, associations that underpin the tapestry of internet culture and celebrity stardom.

So let our findings serve as a gentle nudge to the inquisitive minds, compelling them to ponder the enigma of this whimsical correlation and its implications for the broader landscape of popular culture. For the seemingly disconnected often have surprising ways of harmonizing, bridging, and even rhyming in the vibrant mosaic of human expression.


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

Please make up the discussion section of an academic research paper presenting the findings of the connection between How nerdy Tom Scott YouTube video titles are and The number of movies Mila Kunis appeared in. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Limit your response to 500 tokens.

Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.

Do not write a conclusion. I will add a conclusion after this.

[[TITLE]]
Nerdy Tom Scott and Mila Kunis: A Rhyming Revelation

[[ABSTRACT]]
The interplay between nerdy YouTube video titles and celebrity film appearances has long been the subject of scholarly curiosity. In this light-hearted yet academically rigorous study, we delve into the seemingly whimsical connection between the nerdy vibes of Tom Scott's YouTube video titles and the cinematic presence of the ever-charming Mila Kunis. Through meticulous AI analysis of YouTube video titles and data mining from The Movie DB, we set out to unveil the intriguing correlation between these seemingly unrelated entities.

Our findings have left us in a state of delightful disbelief, revealing a startling correlation coefficient of 0.9235807 and a statistically significant p-value of less than 0.01 for the time period spanning from 2009 to 2022. While skeptics may dismiss our findings as mere happenstance, we argue that there is more than meets the eye when it comes to the whimsical world of nerdy YouTube titles and the silver screen stardom of Mila Kunis.

So, join us in this offbeat journey through the realms of entertainers and internet culture as we uncover the mysteriously playful connection between nerdy Tom Scott titles and the cinematic endeavors of the charming Mila Kunis. It's a rhyming revelation that will leave you pondering the unexpected links in the vibrant tapestry of popular culture.

[[LITERATURE REVIEW]]
In the nuanced realm of pop culture analysis, the dance between seemingly unrelated entities has long captivated scholarly minds. While the study of nerdy YouTube video titles and the filmography of Mila Kunis may seem like an odd pairing, the literature offers a range of perspectives on the unexpected connections that underpin this seemingly whimsical amalgamation.
In "The Quirky Quandary of Entertainment Puzzles," Smith delves into the enigmatic world of odd pairings within the entertainment industry, shedding light on the serendipitous collisions of seemingly unrelated elements. Similarly, Doe, in "The Crossroads of Quirky and Quotidian," explores the delightful surprise that emerges when two disparate domains collide in the public consciousness. Their work serves as an anchor, guiding our foray into the interplay of nerdy YouTube titles and the cinematic presence of Mila Kunis.
Moving into the world of non-fiction literature, works such as "Nerdy by Nature" by Johnson and "Silver Screen Charisma" by Thompson offer insightful perspectives on the intersection of internet culture and celebrity allure. These texts provide a backdrop for our inquiry, offering nuanced insights into the undercurrents that shape the interactions between digital spaces and the glitz of Hollywood.
Furthermore, in the realm of fiction literature, titles such as "The Nerdy Nexus" by Ryan and "Cinematic Serendipity" by Parker present fictional narratives that may, at first glance, seem unrelated to our scholarly pursuit. However, their exploration of unexpected connections and playful juxtapositions offers a whimsical mirror to the present study's playful exploration.
As we venture into the unexpected, it is also essential to note the educational groundwork laid by children's cartoons and TV shows. The likes of "Phineas and Ferb" and "SpongeBob SquarePants" subtly introduce young minds to the plausible magic of seemingly unrelated elements finding common ground, preparing them for the ticklish terrain we explore in this study.
Braced with the weight of these scholarly and literary works, we find ourselves poised at the confluence of nerdy vivacity and silver screen adulation, ready to embark on this offbeat expedition to unravel the intricate dance of nerdy titles and cinematic charm. It's a journey that will challenge preconceived notions and spark a grin, leaving us to marvel at the whimsical connections that shape our cultural fabric.

[[RESULTS]]
The analysis of data collected from a myriad of online sources yielded a correlation coefficient of 0.9235807, accompanied by an r-squared value of 0.8530013, for the period spanning from 2009 to 2022. These figures boldly underscore the unexpected and seemingly whimsical association between the nerdy vibes exuded by Tom Scott's YouTube video titles and the prolific on-screen presence of the ever-enchanting Mila Kunis.
Upon the canvas of our scatterplot (Fig. 1), the unmistakable clustering of data points traced a compelling narrative, illustrating the pronounced correlation between the two variables. The strong linear relationship observed between the nerdy allure of Tom Scott's video titles and the frequency of Mila Kunis's appearances in movies left us in a state of delightful disbelief, challenging preconceived notions and inviting a closer examination of the harmonious interplay between internet subculture and the glitz of Hollywood.
While the casual observer may dismiss our findings as mere coincidence, we contend that there is more at play beneath the surface of these seemingly incongruous elements. The statistically significant p-value of less than 0.01, coupled with the substantial r-squared value, serves as a testament to the robustness and reliability of our discovery. This revelation, while lighthearted in its origins, has the potential to prompt a broader rethinking of the harmonious interplay between seemingly unrelated facets of popular culture.
In light of these findings, we assert that there exists an unexpectedly strong correlation between the nerdy titling tendencies of Tom Scott's YouTube videos and the cinematic frequency of the captivating Mila Kunis. This insight opens the gateway to further scholarly inquiry and prompts a reconsideration of the subtle, yet surprisingly impactful, associations that underpin the tapestry of internet culture and celebrity stardom.
So let our findings serve as a gentle nudge to the inquisitive minds, compelling them to ponder the enigma of this whimsical correlation and its implications for the broader landscape of popular culture. For the seemingly disconnected often have surprising ways of harmonizing, bridging, and even rhyming in the vibrant mosaic of human expression.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

Our findings paint a strikingly vivacious portrait of the unexpected correlation between the nerdy vitality of Tom Scott's YouTube video titles and the silver screen charm of Mila Kunis. While some may question the earnestness of our pursuit, it is essential to remember that the humorous and seemingly whimsical often hold intriguing truths in their playful embrace.

Reminiscent of Smith's elucidation of serendipitous collisions in the entertainment industry, our study not only corroborates the delightfully surprising nature of odd pairings but also extends this understanding into the digital realm. The robust correlation coefficient and statistically significant p-value substantiate the broader confluence of quirky elements within the cultural tapestry.

Furthermore, our examination finds resonance with Ryan's "The Nerdy Nexus" and Parker's "Cinematic Serendipity," reaffirming the potent allure of seemingly unrelated elements finding harmonious convergence. The playful exploration in these fictional works foreshadows the unexpected and delightful connection we have unveiled, inviting us to embrace the whimsical dance of nerdy titles and silver screen allure.

Nevertheless, it is incumbent upon us to temper this mirthful revelry with academic rigor, as our study speaks volumes on the subtle undercurrents that tie together digital subculture and the glamour of Hollywood. The pronounced correlation and substantial r-squared value posit a nuanced understanding of the interrelation between these seemingly disparate domains, implying a deeper fusion of internet culture and celebrity adulation than may meet the naked eye.

As we pause to reflect on this rhyming revelation, it becomes evident that the seemingly incongruous often conspires to captivate and challenge our assumptions in a harmonious duet. The whimsical link between nerdy YouTube titles and cinematic appearances stands as a flamboyant testament to the capricious nature of cultural associations, inspiring a renewed appreciation for the spirited interplay of divergent elements within our popular discourse.

In the ever-convivial journey of scholarly pursuit, may our findings spark a grin and a raised eyebrow, inciting further contemplation of the unexpected links that weave together internet culture and stardom. For in the vibrant mosaic of human expression, the seemingly unrelated often harmonize in ways that are more playful, more dazzling, and more profoundly tantalizing than we could ever envisage.


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

Please make up a short conclusion of an academic research paper presenting the findings of the connection between How nerdy Tom Scott YouTube video titles are and The number of movies Mila Kunis appeared in. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Nerdy Tom Scott and Mila Kunis: A Rhyming Revelation

[[ABSTRACT]]
The interplay between nerdy YouTube video titles and celebrity film appearances has long been the subject of scholarly curiosity. In this light-hearted yet academically rigorous study, we delve into the seemingly whimsical connection between the nerdy vibes of Tom Scott's YouTube video titles and the cinematic presence of the ever-charming Mila Kunis. Through meticulous AI analysis of YouTube video titles and data mining from The Movie DB, we set out to unveil the intriguing correlation between these seemingly unrelated entities.

Our findings have left us in a state of delightful disbelief, revealing a startling correlation coefficient of 0.9235807 and a statistically significant p-value of less than 0.01 for the time period spanning from 2009 to 2022. While skeptics may dismiss our findings as mere happenstance, we argue that there is more than meets the eye when it comes to the whimsical world of nerdy YouTube titles and the silver screen stardom of Mila Kunis.

So, join us in this offbeat journey through the realms of entertainers and internet culture as we uncover the mysteriously playful connection between nerdy Tom Scott titles and the cinematic endeavors of the charming Mila Kunis. It's a rhyming revelation that will leave you pondering the unexpected links in the vibrant tapestry of popular culture.

[[INTRDUCTION]]
Introduction
When one delves into the labyrinthine realm of internet culture, one may stumble upon the seemingly incongruous blend of nerdy YouTube video titles and the silver screen charisma of beloved celebrities. Amidst this conundrum, the curious case of Tom Scott's nerdy YouTube video titles and the cinematic endeavors of Mila Kunis emerges as a peculiar enigma, ready to be unravelled. While on the surface, this concoction may appear no more than a whimsical pairing of disparate entities, our study seeks to embark on a voyage of discovery, peeling back the layers of this seemingly light-hearted association to reveal a surprising underlying correlation.
As with any scholarly pursuit, it is essential to ground our investigation in empirical evidence and methodological rigor. Through the deployment of advanced artificial intelligence techniques and a comprehensive trawl through The Movie DB's extensive databanks, we conducted a thorough analysis covering the period from 2009 to 2022. Our goal was to unearth any perceptible connection between the idiosyncratic nature of Tom Scott's video titles and the frequency of Mila Kunis's appearances on the silver screen.
The initial skepticism that lingered in the intellectual corridors of academia was met with an unanticipated turn of events. Our painstaking analysis bore fruit, unveiling a correlation coefficient of 0.9235807 and a strikingly statistically significant p-value less than 0.01. This revelation raised eyebrows and unleashed a wave of curiosity amongst our scholarly peers, leading us to assert that there is more than meets the eye in the serendipitous intersection of nerdy YouTube titles and Mila Kunis's cinematic escapades.
Despite the light-hearted nature of our subject matter, we assure the reader that our inquiry has been conducted with the utmost seriousness and meticulous attention to scientific principles. Therefore, as we embark on this lighthearted journey into the curious connection between Tom Scott's nerdy video titles and the cinematic ventures of Mila Kunis, we invite you to accompany us into the labyrinth of whimsy that threads the fabric of popular culture. This playful venture, as we shall demonstrate, has the potential to leave an indelible imprint on the broader scholarly discourse, challenging preconceived notions and inviting further exploration.
So, buckle up and prepare for a journey through the unexpected, as we set out to unearth the secret harmonies between the nerdy and the silver-screened. It's a rhyming revelation that might just blur the lines between the nerdy and the noteworthy, leaving us to dwell on the whimsical connections that underpin our vibrant cultural tapestry.

[[RESULTS]]
The analysis of data collected from a myriad of online sources yielded a correlation coefficient of 0.9235807, accompanied by an r-squared value of 0.8530013, for the period spanning from 2009 to 2022. These figures boldly underscore the unexpected and seemingly whimsical association between the nerdy vibes exuded by Tom Scott's YouTube video titles and the prolific on-screen presence of the ever-enchanting Mila Kunis.
Upon the canvas of our scatterplot (Fig. 1), the unmistakable clustering of data points traced a compelling narrative, illustrating the pronounced correlation between the two variables. The strong linear relationship observed between the nerdy allure of Tom Scott's video titles and the frequency of Mila Kunis's appearances in movies left us in a state of delightful disbelief, challenging preconceived notions and inviting a closer examination of the harmonious interplay between internet subculture and the glitz of Hollywood.
While the casual observer may dismiss our findings as mere coincidence, we contend that there is more at play beneath the surface of these seemingly incongruous elements. The statistically significant p-value of less than 0.01, coupled with the substantial r-squared value, serves as a testament to the robustness and reliability of our discovery. This revelation, while lighthearted in its origins, has the potential to prompt a broader rethinking of the harmonious interplay between seemingly unrelated facets of popular culture.
In light of these findings, we assert that there exists an unexpectedly strong correlation between the nerdy titling tendencies of Tom Scott's YouTube videos and the cinematic frequency of the captivating Mila Kunis. This insight opens the gateway to further scholarly inquiry and prompts a reconsideration of the subtle, yet surprisingly impactful, associations that underpin the tapestry of internet culture and celebrity stardom.
So let our findings serve as a gentle nudge to the inquisitive minds, compelling them to ponder the enigma of this whimsical correlation and its implications for the broader landscape of popular culture. For the seemingly disconnected often have surprising ways of harmonizing, bridging, and even rhyming in the vibrant mosaic of human expression.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

As we draw the curtains on our riveting rhyming revelation, the whimsical correlation between the nerdy ebullience of Tom Scott's YouTube video titles and the silver-screen splendor of Mila Kunis stands as a delightful testament to the unexpected harmonies that thread through the fabric of popular culture. Our statistically significant findings have left us in a state of delightful disbelief, akin to stumbling upon a hidden treasure in the crowded corridors of scholarly inquiry.

While some may dismiss our discovery as a mere fluke, we implore them to not let skepticism cloud the whimsy of this unforeseen association. Our results, with a correlation coefficient beaming at 0.9235807, and a sneaky p-value of less than 0.01, defy the conventional boundaries and beckon us to ponder the possibility of a playful cosmic conspiracy at play.

As amusing as it may seem, our investigation was not a mere flight of fancy, but a meticulous voyage into the fathomless domain of internet subculture and celebrity allure. We approached this endeavor with methodological rigor and scholarly resolve, and the fruits of our labor have yielded an unexpected bountiful harvest of insight into the playful interplay between the serious and the serendipitous.

We argue that our findings have transcended mere happenstance and have summoned a call to action for further exploration in this enthralling intersection of seemingly unrelated entities. However, in the spirit of mischievous spontaneity and scholarly humor, we assert that no more research is needed in this peculiar domain. For sometimes, it's best to let the enigma of quirky correlations linger in the air, leaving us to marvel at the unexpected synchronicities that adorn the grand stage of human expression. After all, in the immortal words of Tom Scott, "Isn't that just lovely?"


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 Nerdy Tom Scott and Mila Kunis: A Rhyming Revelation. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Celebrity Rhymeology


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 Nerdy Tom Scott and Mila Kunis: A Rhyming Revelation. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Quirky 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 Nerdy Tom Scott and Mila Kunis: A Rhyming Revelation with an abstract of The interplay between nerdy YouTube video titles and celebrity film appearances has long been the subject of scholarly curiosity. In this light-hearted yet academically rigorous study, we delve into the seemingly whimsical connection between the nerdy vibes of Tom Scott's YouTube video titles and the cinematic presence of the ever-charming Mila Kunis. Through meticulous AI analysis of YouTube video titles and data mining from The Movie DB, we set out to unveil the intriguing correlation between these seemingly unrelated entities.
Our findings have left us in a state of delightful disbelief, revealing a startling correlation coefficient of 0.9235807 and a statistically significant p-value of less than 0.01 for the time period spanning from 2009 to 2022. While skeptics may dismiss our findings as mere happenstance, we argue that there is more than meets the eye when it comes to the whimsical world of nerdy YouTube titles and the silver screen stardom of Mila Kunis.
So, join us in this offbeat journey through the realms of entertainers and internet culture as we uncover the mysteriously playful connection between nerdy Tom Scott titles and the cinematic endeavors of the charming Mila Kunis. It's a rhyming revelation that will leave you pondering the unexpected links in the vibrant tapestry of popular culture.

ChatGPT:

Tom Scott, Mila Kunis, YouTube video titles, celebrity film appearances, AI analysis, data mining, correlation coefficient, p-value, YouTube analytics, entertainment industry, internet culture, popular culture, celebrity 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

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

See what else correlates with How nerdy Tom Scott's YouTube video titles are

The number of movies Mila Kunis appeared in
Source: The Movie DB
Additional Info: American Psycho II: All American Girl (2002); Boot Camp (2008); Bad Moms (2016); A Bad Moms Christmas (2017); The Spy Who Dumped Me (2018); Luckiest Girl Alive (2022); Extract (2009); Max Payne (2008); Black Swan (2010); Moving McAllister (2007); Oz the Great and Powerful (2013); Friends with Benefits (2011); Ted (2012); Tony n' Tina's Wedding (2004); The Hills with James Franco and Mila Kunis (2007); Jupiter Ascending (2015); Third Person (2013); The Color of Time (2012); The Angriest Man in Brooklyn (2014); Breaking News in Yuba County (2021); Four Good Days (2021); The Book of Eli (2010); Forgetting Sarah Marshall (2008); Hell & Back (2015); Black Swan: Metamorphosis (2011); Family Guy Presents: Partial Terms of Endearment (2010); Family Guy Presents: And Then There Were Fewer (2010); Family Guy Presents: Stewie Griffin: The Untold Story (2005); Blood Ties (2013); Family Guy Presents: It's a Trap! (2010); Wonder Park (2019); A Very Special Family Guy Freakin' Christmas (2008); Family Guy Presents: Stewie Kills Lois and Lois Kills Stewie (2007); Family Guy Presents: Something, Something, Something, Dark Side (2009); Family Guy Presents: Blue Harvest (2008); Family Guy Presents: Road to the North Pole (2010); Piranha (1995); Milo (1998); Santa with Muscles (1996); VH1 Rock Honors: The Who (2008); Family Guy Presents: Seth & Alex's Almost Live Comedy Show (2009); After Sex (2007); Honey, We Shrunk Ourselves (1997); Extract: Mike Judge's Secret Recipe (2009); Get Over It (2001); Krippendorf's Tribe (1998); Date Night (2010); Annie (2014); Gia (1998); FOX 25th Anniversary Special (2012)

See what else correlates with The number of movies Mila Kunis appeared in

Correlation r = 0.9235807 (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 = 0.8530013 (Coefficient of determination)
This means 85.3% of the change in the one variable (i.e., The number of movies Mila Kunis appeared in) is predictable based on the change in the other (i.e., How nerdy Tom Scott's YouTube video titles are) over the 14 years from 2009 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 2.4E-6. 0.0000024350397670048056000000
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 0.92 in 0.00024% of random cases. Said differently, if you correlated 410,671 random variables You don't actually need 410 thousand variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.

p-value calculations are useful for understanding the probability of a result happening by chance. They are most useful when used to highlight the risk of a fluke outcome. For example, if you calculate a p-value of 0.30, the risk that the result is a fluke is high. It is good to know that! But there are lots of ways to get a p-value of less than 0.01, as evidenced by this project.

In this particular case, the values are so extreme as to be meaningless. That's why no one reports p-values with specificity after they drop below 0.01.

Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 13 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 13 because we have two variables measured over a period of 14 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.

[ 0.77, 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.
20092010201120122013201420152016201720182019202020212022
How nerdy Tom Scott's YouTube video titles are (Nerdiness score)5.894775.66676.08336.0875.45375.71795.2535.44445.255.23735.26795.13735.1538
The number of movies Mila Kunis appeared in (Movie appearances)47233221111021




Why this works

  1. Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
  2. Lack of causal connection: There is probably Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
    no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
  3. Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
    p-value calculation does not take this into account, so mathematically it appears less probable than it really is.
  4. Y-axis doesn't start at zero: I truncated the Y-axes of the graph above. I also used a line graph, which makes the visual connection stand out more than it deserves. Nothing against line graphs. They are great at telling a story when you have linear data! But visually it is deceptive because the only data is at the points on the graph, not the lines on the graph. In between each point, the data could have been doing anything. Like going for a random walk by itself!
    Mathematically what I showed is true, but it is intentionally misleading. Below is the same chart but with both Y-axes starting at zero.
  5. Outlandish outliers: There are "outliers" in this data. In concept, "outlier" just means "way different than the rest of your dataset." When calculating a correlation like this, they are particularly impactful because a single outlier can substantially increase your correlation.

    For the purposes of this project, I counted a point as an outlier if it the residual was two standard deviations from the mean.

    (This bullet point only shows up in the details page on charts that do, in fact, have outliers.)
    They stand out on the scatterplot above: notice the dots that are far away from any other dots. I intentionally mishandeled outliers, which makes the correlation look extra strong.




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([5.8947,7,5.6667,6.0833,6.087,5.4537,5.7179,5.253,5.4444,5.25,5.2373,5.2679,5.1373,5.1538,])
array_2 = np.array([4,7,2,3,3,2,2,1,1,1,1,0,2,1,])
array_1_name = "How nerdy Tom Scott's YouTube video titles are"
array_2_name = "The number of movies Mila Kunis appeared in"

# 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: 5852 · Black Variable ID: 25458 · Red Variable ID: 26519
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