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Spurious correlation #4,505 · 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 Hanna and the second variable is Average number of comments on Numberphile YouTube videos.  The chart goes from 2011 to 2022, and the two variables track closely in value over that time. Small Image
Download png
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AI explanation

Every time someone named Hanna commented, it inadvertently triggered a heated debate about mathematical concepts, leading to an influx of responses from other viewers. The name Hanna just had a way of multiplying the comments exponentially, creating a fractal-like pattern of discussion that even Numberphile couldn't calculate.

Model: dalle-3
Prompt: Prompt: Generate an image of a mesmerizing, surreal digital landscape reminiscent of Vaporwave, featuring a YouTube comment section filled with a series of Numberphile videos. The name "Hanna" appears repeatedly, igniting a cascade of comments and replies. The screen is a captivating web of comments creating a fractal-like pattern, pulsing and expanding with each mention of the name "Hanna." The vibrant discussions on mathematical concepts seem to multiply exponentially, as if the name itself has a magical formula that multiplies the comments. The scene should evoke a sense of digital transcendence and psychedelic aesthetics, with neon colors, digital glitches, and a dreamy, otherworldly atmosphere. 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 Hanna and Average number of comments on Numberphile YouTube videos. 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: Surrealism Voxel art Vaporwave Low poly Vaporwave
ChatGPT: Vaporwave

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 Hanna and Average number of comments on Numberphile YouTube videos, in the following situation: Every time someone named Hanna commented, it inadvertently triggered a heated debate about mathematical concepts, leading to an influx of responses from other viewers. The name Hanna just had a way of multiplying the comments exponentially, creating a fractal-like pattern of discussion that even Numberphile couldn't calculate.. Keep the description simple.
ChatGPT: In the YouTube comment section, a series of Numberphile videos, the name "Hanna" appears repeatedly, each time sparking a flurry of comments and replies. The screen is filled with a mesmerizing, intricate web of comments, creating a fractal-like pattern that seems to pulse and expand with every mention of the name Hanna. The vibrant discussions on mathematical concepts seem to multiply exponentially, almost as if the name itself has a magical formula that multiplies the comments.

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: [ Vaporwave ] and depicting this scene: In the YouTube comment section, a series of Numberphile videos, the name "Hanna" appears repeatedly, each time sparking a flurry of comments and replies. The screen is filled with a mesmerizing, intricate web of comments, creating a fractal-like pattern that seems to pulse and expand with every mention of the name Hanna. The vibrant discussions on mathematical concepts seem to multiply exponentially, almost as if the name itself has a magical formula that multiplies the comments. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Prompt: Generate an image of a mesmerizing, surreal digital landscape reminiscent of Vaporwave, featuring a YouTube comment section filled with a series of Numberphile videos. The name "Hanna" appears repeatedly, igniting a cascade of comments and replies. The screen is a captivating web of comments creating a fractal-like pattern, pulsing and expanding with each mention of the name "Hanna." The vibrant discussions on mathematical concepts seem to multiply exponentially, as if the name itself has a magical formula that multiplies the comments. The scene should evoke a sense of digital transcendence and psychedelic aesthetics, with neon colors, digital glitches, and a dreamy, otherworldly atmosphere.

*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 humerus 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 changes in Popularity of the first name Hanna caused Average number of comments on Numberphile YouTube videos.

AI academic paper

(Because p < 0.01)
Hanna Hilarity: Exploring the Correlation between the Popularity of the Name Hanna and the Average Number of Comments on Numberphile YouTube Videos

The Journal of Quirky Data Analysis

Jan 2024

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




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

Please draft the title and abstract of an academic research paper presenting the findings of the connection between Popularity of the first name Hanna and Average number of comments on Numberphile YouTube videos. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Include a pun in the title.

Your research team used data from US Social Security Administration and YouTube to assess this nagging question. You found a correlation coefficient of 0.9344650 and p < 0.01 for 2011 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]]
Hanna Hilarity: Exploring the Correlation between the Popularity of the Name Hanna and the Average Number of Comments on Numberphile YouTube Videos

[[ABSTRACT]]
This study delves into the unlikely realm where social naming trends intersect with digital engagement, specifically examining the relationship between the frequency of the first name "Hanna" and the average number of comments on Numberphile's YouTube videos. Through meticulous research and data analysis, our team employed information from the US Social Security Administration and YouTube to investigate this seemingly peculiar association. Surprisingly, our findings revealed a striking correlation coefficient of 0.9344650 with statistical significance at p < 0.01 for the period spanning from 2011 to 2022. The implications of these results are nothing short of captivating, shedding light on the curious interplay between nomenclature and digital dialogue. This investigation not only adds a whimsical twist to the academic discussion but also prompts contemplation on the intriguing influence of monikers in the online sphere.


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

Please make up the introduction section of an academic research paper presenting the findings of the connection between Popularity of the first name Hanna and Average number of comments on Numberphile YouTube videos. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Here is the title and abstract of the paper:
[[TITLE]]
Hanna Hilarity: Exploring the Correlation between the Popularity of the Name Hanna and the Average Number of Comments on Numberphile YouTube Videos

[[ABSTRACT]]
This study delves into the unlikely realm where social naming trends intersect with digital engagement, specifically examining the relationship between the frequency of the first name "Hanna" and the average number of comments on Numberphile's YouTube videos. Through meticulous research and data analysis, our team employed information from the US Social Security Administration and YouTube to investigate this seemingly peculiar association. Surprisingly, our findings revealed a striking correlation coefficient of 0.9344650 with statistical significance at p < 0.01 for the period spanning from 2011 to 2022. The implications of these results are nothing short of captivating, shedding light on the curious interplay between nomenclature and digital dialogue. This investigation not only adds a whimsical twist to the academic discussion but also prompts contemplation on the intriguing influence of monikers in the online sphere.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

The relationship between names and various social and cultural phenomena has long piqued the interest of scholars and laypeople alike. From the mundane musings on alliterative names in literature to the more audacious inquiries into the implications of naming trends on career prospects, the study of nomenclature has traversed a spectrum of disciplines. In this vein, our research embarks on a whimsical journey to investigate the correlation between the prevalence of the first name "Hanna" and the average number of comments on the captivating videos of Numberphile, an educational YouTube channel renowned for its math-related content.

While the connection between a name and online engagement may initially appear as an esoteric avenue for exploration, one cannot discount the potential impact of this seemingly lighthearted inquiry. As we delve into this venture, it is crucial to recognize the playful serendipity underlying this investigation. No stone is left unturned as we humorously navigate through the labyrinth of statistics and naming conventions to uncover the amusing congruity between "Hanna" and numerical musings.

This study seeks to infuse a dash of levity into the solemn world of empirical research, demonstrating that even in the realm of statistics, there lies a thread of amusement waiting to be unraveled. With a spirited approach, we endeavor to elucidate how a seemingly arbitrary variable like a name can interlace with the digital landscape, ultimately unraveling the enigma behind the Hanna hilarity.


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

Please make up a literature review section of an academic research paper presenting the findings of the connection between Popularity of the first name Hanna and Average number of comments on Numberphile YouTube videos. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name a few real TV shows that sound like they might be relevant to the topic that you watched as research.

Here is the title and abstract of the paper:
[[TITLE]]
Hanna Hilarity: Exploring the Correlation between the Popularity of the Name Hanna and the Average Number of Comments on Numberphile YouTube Videos

[[ABSTRACT]]
This study delves into the unlikely realm where social naming trends intersect with digital engagement, specifically examining the relationship between the frequency of the first name "Hanna" and the average number of comments on Numberphile's YouTube videos. Through meticulous research and data analysis, our team employed information from the US Social Security Administration and YouTube to investigate this seemingly peculiar association. Surprisingly, our findings revealed a striking correlation coefficient of 0.9344650 with statistical significance at p < 0.01 for the period spanning from 2011 to 2022. The implications of these results are nothing short of captivating, shedding light on the curious interplay between nomenclature and digital dialogue. This investigation not only adds a whimsical twist to the academic discussion but also prompts contemplation on the intriguing influence of monikers in the online sphere.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The relationship between names and various social and cultural phenomena has long piqued the interest of scholars and laypeople alike. From the mundane musings on alliterative names in literature to the more audacious inquiries into the implications of naming trends on career prospects, the study of nomenclature has traversed a spectrum of disciplines. In this vein, our research embarks on a whimsical journey to investigate the correlation between the prevalence of the first name "Hanna" and the average number of comments on the captivating videos of Numberphile, an educational YouTube channel renowned for its math-related content.
While the connection between a name and online engagement may initially appear as an esoteric avenue for exploration, one cannot discount the potential impact of this seemingly lighthearted inquiry. As we delve into this venture, it is crucial to recognize the playful serendipity underlying this investigation. No stone is left unturned as we humorously navigate through the labyrinth of statistics and naming conventions to uncover the amusing congruity between "Hanna" and numerical musings.
This study seeks to infuse a dash of levity into the solemn world of empirical research, demonstrating that even in the realm of statistics, there lies a thread of amusement waiting to be unraveled. With a spirited approach, we endeavor to elucidate how a seemingly arbitrary variable like a name can interlace with the digital landscape, ultimately unraveling the enigma behind the Hanna hilarity.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The implications of nomenclature on social phenomena have captivated scholars across various disciplines. Smith (2015) explored the influence of names on individual economic outcomes, and Doe (2018) examined the relationship between names and social perceptions. Similarly, Jones (2020) investigated the cultural significance of names in literature and media. However, the intersection between the prevalence of the first name "Hanna" and digital engagement represents a novel and intriguing avenue for exploration.

Turning our attention to more popular literature, Baby Names: The Ultimate Guide to Choosing the Perfect Name (White, 2019) provides a comprehensive analysis of naming trends and their societal impact. Furthermore, Freakonomics: A Rogue Economist Explores the Hidden Side of Everything (Levitt & Dubner, 2005) offers a thought-provoking perspective on the unexpected implications of social phenomena, including naming conventions. On a more whimsical note, Alice's Adventures in Wonderland (Carroll, 1865) and Charlie and the Chocolate Factory (Dahl, 1964) subtly delve into the themes of identity and societal perceptions, albeit in a fictional context.

As the authors embarked on this lighthearted investigation, they sought inspiration from popular culture, including their dedicated viewing of The Big Bang Theory and Numb3rs. These TV shows, known for their witty portrayals of mathematical concepts and scientific inquiry, added a touch of entertainment and insight to the research process.


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

Please make up the methodology section of an academic research paper presenting the findings of the connection between Popularity of the first name Hanna and Average number of comments on Numberphile YouTube videos. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from US Social Security Administration and YouTube . You used data from 2011 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]]
Hanna Hilarity: Exploring the Correlation between the Popularity of the Name Hanna and the Average Number of Comments on Numberphile YouTube Videos

[[ABSTRACT]]
This study delves into the unlikely realm where social naming trends intersect with digital engagement, specifically examining the relationship between the frequency of the first name "Hanna" and the average number of comments on Numberphile's YouTube videos. Through meticulous research and data analysis, our team employed information from the US Social Security Administration and YouTube to investigate this seemingly peculiar association. Surprisingly, our findings revealed a striking correlation coefficient of 0.9344650 with statistical significance at p < 0.01 for the period spanning from 2011 to 2022. The implications of these results are nothing short of captivating, shedding light on the curious interplay between nomenclature and digital dialogue. This investigation not only adds a whimsical twist to the academic discussion but also prompts contemplation on the intriguing influence of monikers in the online sphere.

[[INTRODUCTION]]
The relationship between names and various social and cultural phenomena has long piqued the interest of scholars and laypeople alike. From the mundane musings on alliterative names in literature to the more audacious inquiries into the implications of naming trends on career prospects, the study of nomenclature has traversed a spectrum of disciplines. In this vein, our research embarks on a whimsical journey to investigate the correlation between the prevalence of the first name "Hanna" and the average number of comments on the captivating videos of Numberphile, an educational YouTube channel renowned for its math-related content.
While the connection between a name and online engagement may initially appear as an esoteric avenue for exploration, one cannot discount the potential impact of this seemingly lighthearted inquiry. As we delve into this venture, it is crucial to recognize the playful serendipity underlying this investigation. No stone is left unturned as we humorously navigate through the labyrinth of statistics and naming conventions to uncover the amusing congruity between "Hanna" and numerical musings.
This study seeks to infuse a dash of levity into the solemn world of empirical research, demonstrating that even in the realm of statistics, there lies a thread of amusement waiting to be unraveled. With a spirited approach, we endeavor to elucidate how a seemingly arbitrary variable like a name can interlace with the digital landscape, ultimately unraveling the enigma behind the Hanna hilarity.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To investigate the delightful intersection of nomenclature and YouTube discourse, our research team embarked on a methodological escapade that combined data wrangling and statistical analysis. The first step of our adventure involved tapping into the vast repository of the US Social Security Administration's records to extract the historical frequency of the name "Hanna" in the United States from 2011 to 2022. This pursuit carried us through the ebb and flow of naming trends, providing a panoramic view of the prevalence of this melodious moniker.

With our datasets securely in hand, we ventured into the dynamic realm of Numberphile's YouTube videos, diligently scouring the comment sections for each publication. Our brave researchers meticulously tabulated the average number of comments for selected videos, an endeavor that necessitated a keen eye for detail and an unwavering tolerance for the enigmatic depths of online discourse.

In an unexpected turn, we encountered the labyrinthine challenge of reconciling naming conventions with numerical musings. This led to the development of a novel naming sentiment index, whereby the perceived popularity of the name "Hanna" was juxtaposed with the quantitative engagement within the virtual corridors of Numberphile's video commentaries. Adorned with a touch of whimsy, our index sought to encapsulate the essence of the Hanna hilarity, weaving together the playful essence of nomenclature with the earnestness of statistical inquiry.

Following the establishment of our naming sentiment index, we dived headfirst into the ocean of statistical analyses. With the tenacity of intrepid explorers, we harnessed the power of correlation coefficients and p-values to unearth the hidden rapport between the frequency of the name "Hanna" and the average number of comments on Numberphile's YouTube videos. Our expedition through the statistical landscape culminated in the unearthing of a striking correlation coefficient of 0.9344650, with statistical significance at p < 0.01, painting a picture of a resounding harmony between the name "Hanna" and the digital dialogues of number enthusiasts.

In conclusion, our methodology combined meticulous data extraction, audacious naming sentiment indices, and statistical voyages to uncover the unexpected congruity between the name "Hanna" and the captivating witticisms adorning Numberphile's digital domain. This whimsical journey not only illuminates the playful interplay between nomenclature and virtual conversations but also underscores the unforeseen mirth that can be unearthed within the corridors of scientific inquiry.


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

Please make up the results section of an academic research paper presenting the findings of the connection between Popularity of the first name Hanna and Average number of comments on Numberphile YouTube videos. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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

For the time period 2011 to 2022, you found a correlation 0.9344650, r-squared of 0.8732249, 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]]
Hanna Hilarity: Exploring the Correlation between the Popularity of the Name Hanna and the Average Number of Comments on Numberphile YouTube Videos

[[ABSTRACT]]
This study delves into the unlikely realm where social naming trends intersect with digital engagement, specifically examining the relationship between the frequency of the first name "Hanna" and the average number of comments on Numberphile's YouTube videos. Through meticulous research and data analysis, our team employed information from the US Social Security Administration and YouTube to investigate this seemingly peculiar association. Surprisingly, our findings revealed a striking correlation coefficient of 0.9344650 with statistical significance at p < 0.01 for the period spanning from 2011 to 2022. The implications of these results are nothing short of captivating, shedding light on the curious interplay between nomenclature and digital dialogue. This investigation not only adds a whimsical twist to the academic discussion but also prompts contemplation on the intriguing influence of monikers in the online sphere.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The relationship between names and various social and cultural phenomena has long piqued the interest of scholars and laypeople alike. From the mundane musings on alliterative names in literature to the more audacious inquiries into the implications of naming trends on career prospects, the study of nomenclature has traversed a spectrum of disciplines. In this vein, our research embarks on a whimsical journey to investigate the correlation between the prevalence of the first name "Hanna" and the average number of comments on the captivating videos of Numberphile, an educational YouTube channel renowned for its math-related content.
While the connection between a name and online engagement may initially appear as an esoteric avenue for exploration, one cannot discount the potential impact of this seemingly lighthearted inquiry. As we delve into this venture, it is crucial to recognize the playful serendipity underlying this investigation. No stone is left unturned as we humorously navigate through the labyrinth of statistics and naming conventions to uncover the amusing congruity between "Hanna" and numerical musings.
This study seeks to infuse a dash of levity into the solemn world of empirical research, demonstrating that even in the realm of statistics, there lies a thread of amusement waiting to be unraveled. With a spirited approach, we endeavor to elucidate how a seemingly arbitrary variable like a name can interlace with the digital landscape, ultimately unraveling the enigma behind the Hanna hilarity.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The analysis of the relationship between the popularity of the first name "Hanna" and the average number of comments on Numberphile's YouTube videos from 2011 to 2022 has yielded noteworthy findings. The correlation coefficient of 0.9344650, with an r-squared of 0.8732249, and a p-value of less than 0.01, suggests a remarkably strong association. These results spark intrigue and provoke the imagination, as they uncover a robust connection between a seemingly unrelated pair of variables – the name "Hanna" and the online discourse on math-related content.

The scatterplot (Fig. 1) visually encapsulates the striking relationship between the two variables, showcasing a compelling pattern that underscores the profound interplay between nomenclature and digital interaction. The whimsical intersection of statistical analysis with the whimsy of nomenclature opens the door to an array of interpretations, as the evidence of a robust correlation between the popularity of the name "Hanna" and the level of engagement with Numberphile's YouTube videos prompts contemplation on the curious influence of names in the digital space.

Our unexpected exploration into this unlikely correlation not only delivers a punchline to the traditionally serious discourse of academic research but also illuminates the playful unpredictability that can often underlie statistical investigations. The seemingly casual inquiry into the association between a name and online interactions has unmasked a captivating harmony, stirring both laughter and contemplation in equal measure. As we bask in the Hanna hilarity, we are reminded that amidst the rigidity of statistical analysis, there exist intriguing connections that infuse a dash of mirth into the empirical landscape.


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

Please make up the discussion section of an academic research paper presenting the findings of the connection between Popularity of the first name Hanna and Average number of comments on Numberphile YouTube videos. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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]]
Hanna Hilarity: Exploring the Correlation between the Popularity of the Name Hanna and the Average Number of Comments on Numberphile YouTube Videos

[[ABSTRACT]]
This study delves into the unlikely realm where social naming trends intersect with digital engagement, specifically examining the relationship between the frequency of the first name "Hanna" and the average number of comments on Numberphile's YouTube videos. Through meticulous research and data analysis, our team employed information from the US Social Security Administration and YouTube to investigate this seemingly peculiar association. Surprisingly, our findings revealed a striking correlation coefficient of 0.9344650 with statistical significance at p < 0.01 for the period spanning from 2011 to 2022. The implications of these results are nothing short of captivating, shedding light on the curious interplay between nomenclature and digital dialogue. This investigation not only adds a whimsical twist to the academic discussion but also prompts contemplation on the intriguing influence of monikers in the online sphere.

[[LITERATURE REVIEW]]
The implications of nomenclature on social phenomena have captivated scholars across various disciplines. Smith (2015) explored the influence of names on individual economic outcomes, and Doe (2018) examined the relationship between names and social perceptions. Similarly, Jones (2020) investigated the cultural significance of names in literature and media. However, the intersection between the prevalence of the first name "Hanna" and digital engagement represents a novel and intriguing avenue for exploration.
Turning our attention to more popular literature, Baby Names: The Ultimate Guide to Choosing the Perfect Name (White, 2019) provides a comprehensive analysis of naming trends and their societal impact. Furthermore, Freakonomics: A Rogue Economist Explores the Hidden Side of Everything (Levitt & Dubner, 2005) offers a thought-provoking perspective on the unexpected implications of social phenomena, including naming conventions. On a more whimsical note, Alice's Adventures in Wonderland (Carroll, 1865) and Charlie and the Chocolate Factory (Dahl, 1964) subtly delve into the themes of identity and societal perceptions, albeit in a fictional context.
As the authors embarked on this lighthearted investigation, they sought inspiration from popular culture, including their dedicated viewing of The Big Bang Theory and Numb3rs. These TV shows, known for their witty portrayals of mathematical concepts and scientific inquiry, added a touch of entertainment and insight to the research process.

[[RESULTS]]
The analysis of the relationship between the popularity of the first name "Hanna" and the average number of comments on Numberphile's YouTube videos from 2011 to 2022 has yielded noteworthy findings. The correlation coefficient of 0.9344650, with an r-squared of 0.8732249, and a p-value of less than 0.01, suggests a remarkably strong association. These results spark intrigue and provoke the imagination, as they uncover a robust connection between a seemingly unrelated pair of variables – the name "Hanna" and the online discourse on math-related content.
The scatterplot (Fig. 1) visually encapsulates the striking relationship between the two variables, showcasing a compelling pattern that underscores the profound interplay between nomenclature and digital interaction. The whimsical intersection of statistical analysis with the whimsy of nomenclature opens the door to an array of interpretations, as the evidence of a robust correlation between the popularity of the name "Hanna" and the level of engagement with Numberphile's YouTube videos prompts contemplation on the curious influence of names in the digital space.
Our unexpected exploration into this unlikely correlation not only delivers a punchline to the traditionally serious discourse of academic research but also illuminates the playful unpredictability that can often underlie statistical investigations. The seemingly casual inquiry into the association between a name and online interactions has unmasked a captivating harmony, stirring both laughter and contemplation in equal measure. As we bask in the Hanna hilarity, we are reminded that amidst the rigidity of statistical analysis, there exist intriguing connections that infuse a dash of mirth into the empirical landscape.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

The results of our investigation into the connection between the popularity of the first name "Hanna" and the average number of comments on Numberphile's YouTube videos have opened new avenues of inquiry that are, in the words of one might say, statistically and humorously intriguing. Our findings not only support the existing body of literature on the influence of nomenclature on social phenomena but also add a lighthearted twist to the often-serious realm of academic research.

Building on the prior research highlighting the impact of names on economic outcomes, social perceptions, and cultural significance, our study brings a playful dimension to the discussion by unveiling the remarkably robust association between the prevalence of the name "Hanna" and digital engagement. While this seemingly unlikely correlation initially raised eyebrows, the statistical evidence, with a correlation coefficient of 0.9344650 and a p-value of less than 0.01, undoubtedly supports the hypothesis that the name "Hanna" is correlated with the level of engagement with Numberphile's YouTube videos. The whimsical nature of this association, couched within the seriousness of statistical analysis, provides a charming juxtaposition that both entertains and enlightens.

Our findings echo the spirit of explorations into unexpected implications, akin to the rogue economic investigations chronicled in "Freakonomics." This unanticipated correlation brings to mind the playful unpredictability that often underlies statistical investigations, injecting a delightful dose of mirth into the traditionally serious discourse of academic inquiry. It seems that beyond the confines of rigorous data analysis, there lies a whimsical harmony waiting to be uncovered, reminding us that in the world of research, there is always room for the unexpected and the amusing.

As we ponder the intriguing harmony between the name "Hanna" and the digital discourse on mathematical content, we are reminded that statistical analysis, much like a good joke, can surprise, enlighten, and even amuse. In the midst of this Hanna hilarity, the intersection of statistical science and playful nomenclature serves as a delightful reminder that within the rigidity of empirical inquiry, laughter and contemplation can coexist in a harmonious statistical symphony.


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

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Popularity of the first name Hanna and Average number of comments on Numberphile YouTube videos. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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]]
Hanna Hilarity: Exploring the Correlation between the Popularity of the Name Hanna and the Average Number of Comments on Numberphile YouTube Videos

[[ABSTRACT]]
This study delves into the unlikely realm where social naming trends intersect with digital engagement, specifically examining the relationship between the frequency of the first name "Hanna" and the average number of comments on Numberphile's YouTube videos. Through meticulous research and data analysis, our team employed information from the US Social Security Administration and YouTube to investigate this seemingly peculiar association. Surprisingly, our findings revealed a striking correlation coefficient of 0.9344650 with statistical significance at p < 0.01 for the period spanning from 2011 to 2022. The implications of these results are nothing short of captivating, shedding light on the curious interplay between nomenclature and digital dialogue. This investigation not only adds a whimsical twist to the academic discussion but also prompts contemplation on the intriguing influence of monikers in the online sphere.

[[INTRDUCTION]]
The relationship between names and various social and cultural phenomena has long piqued the interest of scholars and laypeople alike. From the mundane musings on alliterative names in literature to the more audacious inquiries into the implications of naming trends on career prospects, the study of nomenclature has traversed a spectrum of disciplines. In this vein, our research embarks on a whimsical journey to investigate the correlation between the prevalence of the first name "Hanna" and the average number of comments on the captivating videos of Numberphile, an educational YouTube channel renowned for its math-related content.
While the connection between a name and online engagement may initially appear as an esoteric avenue for exploration, one cannot discount the potential impact of this seemingly lighthearted inquiry. As we delve into this venture, it is crucial to recognize the playful serendipity underlying this investigation. No stone is left unturned as we humorously navigate through the labyrinth of statistics and naming conventions to uncover the amusing congruity between "Hanna" and numerical musings.
This study seeks to infuse a dash of levity into the solemn world of empirical research, demonstrating that even in the realm of statistics, there lies a thread of amusement waiting to be unraveled. With a spirited approach, we endeavor to elucidate how a seemingly arbitrary variable like a name can interlace with the digital landscape, ultimately unraveling the enigma behind the Hanna hilarity.

[[RESULTS]]
The analysis of the relationship between the popularity of the first name "Hanna" and the average number of comments on Numberphile's YouTube videos from 2011 to 2022 has yielded noteworthy findings. The correlation coefficient of 0.9344650, with an r-squared of 0.8732249, and a p-value of less than 0.01, suggests a remarkably strong association. These results spark intrigue and provoke the imagination, as they uncover a robust connection between a seemingly unrelated pair of variables – the name "Hanna" and the online discourse on math-related content.
The scatterplot (Fig. 1) visually encapsulates the striking relationship between the two variables, showcasing a compelling pattern that underscores the profound interplay between nomenclature and digital interaction. The whimsical intersection of statistical analysis with the whimsy of nomenclature opens the door to an array of interpretations, as the evidence of a robust correlation between the popularity of the name "Hanna" and the level of engagement with Numberphile's YouTube videos prompts contemplation on the curious influence of names in the digital space.
Our unexpected exploration into this unlikely correlation not only delivers a punchline to the traditionally serious discourse of academic research but also illuminates the playful unpredictability that can often underlie statistical investigations. The seemingly casual inquiry into the association between a name and online interactions has unmasked a captivating harmony, stirring both laughter and contemplation in equal measure. As we bask in the Hanna hilarity, we are reminded that amidst the rigidity of statistical analysis, there exist intriguing connections that infuse a dash of mirth into the empirical landscape.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our examination of the correlation between the prevalence of the first name "Hanna" and the average number of comments on Numberphile's YouTube videos has unmasked a delightful union between nomenclature and digital engagement. The pronounced correlation coefficient, akin to the impact of a good pun at a statistics conference, suggests a robust association between these seemingly disparate variables. The scatterplot, akin to a visual representation of a complex punchline, visually encapsulates this unexpected relationship, underscoring the whimsical nature of this inquiry.

As we reflect on the interplay between "Hanna" and numerical musings, we are reminded of the innumerable narratives that unfold within the realm of statistics. Our findings, akin to the unexpected twist in a convoluted joke, add a touch of levity to empirical discourse, prompting contemplation on the curious influence of names in the digital landscape. While the correlation uncovered may seem akin to a statistical quirk, it serves as an amusing reminder of the serendipitous connections that permeate the realm of research.

In this light, we assert that no further exploration into the "Hanna" hilarity is warranted, as the findings whimsically stand as a testament to the peculiar yet captivating associations that can emerge from the world of statistics. Thus, we conclude with the unspoken punchline that this investigation offers: sometimes, in the pursuit of knowledge, the most unexpected correlations can prompt the heartiest laughter.


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 Hanna Hilarity: Exploring the Correlation between the Popularity of the Name Hanna and the Average Number of Comments on Numberphile YouTube Videos. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Quirky Data Analysis


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 Hanna Hilarity: Exploring the Correlation between the Popularity of the Name Hanna and the Average Number of Comments on Numberphile YouTube Videos. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Comedic Research and Investigation


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 Hanna Hilarity: Exploring the Correlation between the Popularity of the Name Hanna and the Average Number of Comments on Numberphile YouTube Videos with an abstract of This study delves into the unlikely realm where social naming trends intersect with digital engagement, specifically examining the relationship between the frequency of the first name "Hanna" and the average number of comments on Numberphile's YouTube videos. Through meticulous research and data analysis, our team employed information from the US Social Security Administration and YouTube to investigate this seemingly peculiar association. Surprisingly, our findings revealed a striking correlation coefficient of 0.9344650 with statistical significance at p < 0.01 for the period spanning from 2011 to 2022. The implications of these results are nothing short of captivating, shedding light on the curious interplay between nomenclature and digital dialogue. This investigation not only adds a whimsical twist to the academic discussion but also prompts contemplation on the intriguing influence of monikers in the online sphere.

ChatGPT:

"Hanna popularity, Numberphile YouTube, name correlation, social naming trends, digital engagement, first name frequency, Hanna name association, US Social Security Administration data, YouTube comments, relationship between name and comments, correlation coefficient, statistical significance, Hanna name influence"

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

Average number of comments on Numberphile YouTube videos
Detailed data title: Average number of comments on Numberphile YouTube videos.
Source: Numberphile YouTube
See what else correlates with Average number of comments on Numberphile YouTube videos

Correlation r = 0.9344650 (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 = 0.8732249 (Coefficient of determination)
This means 87.3% of the change in the one variable (i.e., Average number of comments on Numberphile YouTube videos) is predictable based on the change in the other (i.e., Popularity of the first name Hanna) over the 12 years from 2011 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 8.5E-6. 0.0000085227447800747330000000
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 0.93 in 0.00085% of random cases. Said differently, if you correlated 117,333 random variables You don't actually need 117 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 11 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 11 because we have two variables measured over a period of 12 years. It's just the number of years minus ( the number of variables minus one ), which in this case simplifies to the number of years minus one.
you would randomly expect to find a correlation as strong as this one.

[ 0.78, 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.
201120122013201420152016201720182019202020212022
Popularity of the first name Hanna (Babies born)666916825648604589580552568571550563
Average number of comments on Numberphile YouTube videos (Average Comments)1771.445847.322685.51737.231391.221394.811297.121087.781167.041040.57959.634768.634




Why this works

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




Try it yourself

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

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

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

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

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

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

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

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

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


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

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

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

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

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([666,916,825,648,604,589,580,552,568,571,550,563,])
array_2 = np.array([1771.44,5847.32,2685.5,1737.23,1391.22,1394.81,1297.12,1087.78,1167.04,1040.57,959.634,768.634,])
array_1_name = "Popularity of the first name Hanna"
array_2_name = "Average number of comments on Numberphile YouTube videos"

# 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)



Reuseable content

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.

Full license details.
For more on re-use permissions, or to get a signed release form, see tylervigen.com/permission.

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Correlation ID: 4505 · Black Variable ID: 2402 · Red Variable ID: 25473
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