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Spurious correlation #4,513 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is The number of motorcycle mechanics in Georgia and the second variable is Total comments on Computerphile YouTube videos.  The chart goes from 2013 to 2022, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

As the number of motorcycle mechanics in Georgia dwindled, so did the collective ability to grasp complex engineering concepts. This led to a decrease in the total comments on Computerphile YouTube videos, as fewer individuals were able to engage in nuanced discussions about computer science and technology. It seems the intricacies of motorcycle repair and computer systems have more in common than we thought! Who knew that the revving of engines in Georgia could have an impact on the virtual engines of technology discussions? It's a wheely strange connection, but it certainly seems like the mechanics of motorcycle maintenance were sparking some electrifying debates in the world of computerphile.

Model: dalle-3
Prompt: Generate an image of a rustic Georgia garage with a solitary mechanic deep in thought, surrounded by motorcycle parts and tools. In the background, there's a screen showing the Computerphile YouTube channel, with the viewer count noticeably dropping. The mechanic's perplexed expression should convey the unexpected link between the declining number of mechanics and the dwindling engagement in technology discussions. The atmosphere of the scene should evoke a sense of both rural isolation and digital interconnectedness. 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: The number of motorcycle mechanics in Georgia and Total comments on Computerphile 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: Cutsy graphics Scalar art A Discovery magazine cover image Psychedelic Art nouveau
ChatGPT: A Discovery magazine cover image

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 The number of motorcycle mechanics in Georgia and Total comments on Computerphile YouTube videos, in the following situation: As the number of motorcycle mechanics in Georgia dwindled, so did the collective ability to grasp complex engineering concepts. This led to a decrease in the total comments on Computerphile YouTube videos, as fewer individuals were able to engage in nuanced discussions about computer science and technology. It seems the intricacies of motorcycle repair and computer systems have more in common than we thought! Who knew that the revving of engines in Georgia could have an impact on the virtual engines of technology discussions? It's a wheely strange connection, but it certainly seems like the mechanics of motorcycle maintenance were sparking some electrifying debates in the world of computerphile.. Keep the description simple.
ChatGPT: Imagine a mechanic in Georgia, turning wrenches and pondering computer systems, with fewer fellow mechanics around. As he struggles with a complex motorcycle issue, the total comments on Computerphile YouTube videos decrease, symbolizing the fading ability to engage in nuanced discussions about technology. The dwindling number of motorcycle mechanics seems to have a surprising impact on the virtual world of computer science.

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: [ A Discovery magazine cover image ] and depicting this scene: Imagine a mechanic in Georgia, turning wrenches and pondering computer systems, with fewer fellow mechanics around. As he struggles with a complex motorcycle issue, the total comments on Computerphile YouTube videos decrease, symbolizing the fading ability to engage in nuanced discussions about technology. The dwindling number of motorcycle mechanics seems to have a surprising impact on the virtual world of computer science. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a rustic Georgia garage with a solitary mechanic deep in thought, surrounded by motorcycle parts and tools. In the background, there's a screen showing the Computerphile YouTube channel, with the viewer count noticeably dropping. The mechanic's perplexed expression should convey the unexpected link between the declining number of mechanics and the dwindling engagement in technology discussions. The atmosphere of the scene should evoke a sense of both rural isolation and digital interconnectedness.

*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 The number of motorcycle mechanics in Georgia caused Total comments on Computerphile YouTube videos to decrease.

AI academic paper

(Because p < 0.01)
Revving Up the Comments Section: Exploring the Correlation Between Motorcycle Mechanics in Georgia and Total Comments on Computerphile YouTube Videos

The Journal of Quirky Cross-Disciplinary Studies

Jan 2024

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




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

Please draft the title and abstract of an academic research paper presenting the findings of the connection between The number of motorcycle mechanics in Georgia and Total comments on Computerphile YouTube videos. Make lots of jokes, goofy observations, and puns.

Make the title a clever pun.

Your research team used data from Bureau of Larbor Statistics and YouTube to assess this nagging question. You found a correlation coefficient of 0.9575435 and p < 0.01 for 2013 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]]
"Revving Up the Comments Section: Exploring the Correlation Between Motorcycle Mechanics in Georgia and Total Comments on Computerphile YouTube Videos"

[[ABSTRACT]]
This research delves into the intriguing relationship between the number of motorcycle mechanics in the state of Georgia and the total comments on Computerphile YouTube videos. Through a rigorous analysis of data obtained from the Bureau of Labor Statistics and YouTube, our findings revealed a remarkably high correlation coefficient of 0.9575435 and a significant p-value of less than 0.01 for the period spanning 2013 to 2022. Our study highlights the unexpected interconnectedness between seemingly disparate fields, shedding light on the potentially unexplored influences that motorcycle mechanics in Georgia may exert on the virtual realm of Computerphile's comment section. The implications of these findings may rev up the engines of future interdisciplinary research, providing a fresh perspective on the intricate dynamics between real-world professions and online engagements.


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

Please make up the introduction section of an academic research paper presenting the findings of the connection between The number of motorcycle mechanics in Georgia and Total comments on Computerphile YouTube videos. 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]]
"Revving Up the Comments Section: Exploring the Correlation Between Motorcycle Mechanics in Georgia and Total Comments on Computerphile YouTube Videos"

[[ABSTRACT]]
This research delves into the intriguing relationship between the number of motorcycle mechanics in the state of Georgia and the total comments on Computerphile YouTube videos. Through a rigorous analysis of data obtained from the Bureau of Labor Statistics and YouTube, our findings revealed a remarkably high correlation coefficient of 0.9575435 and a significant p-value of less than 0.01 for the period spanning 2013 to 2022. Our study highlights the unexpected interconnectedness between seemingly disparate fields, shedding light on the potentially unexplored influences that motorcycle mechanics in Georgia may exert on the virtual realm of Computerphile's comment section. The implications of these findings may rev up the engines of future interdisciplinary research, providing a fresh perspective on the intricate dynamics between real-world professions and online engagements.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

The pursuit of knowledge often leads us down unexpected paths, and in the case of our research, it has brought us to the crossroads of motorcycle mechanics and YouTube comments. The initial question that sparked this investigation was whether there could be any conceivable relationship between the number of motorcycle mechanics in the state of Georgia and the total comments on Computerphile YouTube videos. At first glance, one might struggle to discern any logical connection between these two variables. However, as we embarked on this scholarly endeavor, we set out to navigate the terrain of statistical analysis with the vigour of a well-maintained Harley Davidson.

The purpose of this paper is to present the findings of our investigation into this unconventional correlation. We were driven to explore the potential link between the tangible, grease-stained world of motorcycle maintenance and the intangible, infinitely expanding universe of online commentary. Our data-driven odyssey has taken us across databases, through spreadsheets, and into the depths of YouTube's comment section, all in pursuit of uncovering the truth behind this enigmatic relationship.

As we embark on this quest, it is important to approach our findings with both rigour and a touch of whimsy. For as much as we wish to remain anchored in the realm of objective analysis, we cannot help but marvel at the serendipitous nature of our discoveries. Who would have thought that the whirring of motorcycle engines in Georgia could echo through the digital ether, leaving a measurable imprint on the comment sections of Computerphile?

In the following sections, we will delve into the methodology used to collect and analyze the data, presenting our findings with the solemnity of a research presentation, peppered with just a hint of jest. The aim of this paper is not only to espouse the empirical evidence of our correlation, but also to entertain the possibility of seemingly incongruous elements converging in a statistical pas de deux, yielding insights that may elude conventional wisdom.

The journey that lies ahead promises to be as intriguing as it is unexpected, and we invite our readers to buckle up for an illuminating excursion that blurs the lines between probabilities and possibilities.


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

Please make up a literature review section of an academic research paper presenting the findings of the connection between The number of motorcycle mechanics in Georgia and Total comments on Computerphile YouTube videos. Make lots of jokes, goofy observations, and puns.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name a couple popular internet memes that are related to one of the topics.

Here is the title and abstract of the paper:
[[TITLE]]
"Revving Up the Comments Section: Exploring the Correlation Between Motorcycle Mechanics in Georgia and Total Comments on Computerphile YouTube Videos"

[[ABSTRACT]]
This research delves into the intriguing relationship between the number of motorcycle mechanics in the state of Georgia and the total comments on Computerphile YouTube videos. Through a rigorous analysis of data obtained from the Bureau of Labor Statistics and YouTube, our findings revealed a remarkably high correlation coefficient of 0.9575435 and a significant p-value of less than 0.01 for the period spanning 2013 to 2022. Our study highlights the unexpected interconnectedness between seemingly disparate fields, shedding light on the potentially unexplored influences that motorcycle mechanics in Georgia may exert on the virtual realm of Computerphile's comment section. The implications of these findings may rev up the engines of future interdisciplinary research, providing a fresh perspective on the intricate dynamics between real-world professions and online engagements.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The pursuit of knowledge often leads us down unexpected paths, and in the case of our research, it has brought us to the crossroads of motorcycle mechanics and YouTube comments. The initial question that sparked this investigation was whether there could be any conceivable relationship between the number of motorcycle mechanics in the state of Georgia and the total comments on Computerphile YouTube videos. At first glance, one might struggle to discern any logical connection between these two variables. However, as we embarked on this scholarly endeavor, we set out to navigate the terrain of statistical analysis with the vigour of a well-maintained Harley Davidson.
The purpose of this paper is to present the findings of our investigation into this unconventional correlation. We were driven to explore the potential link between the tangible, grease-stained world of motorcycle maintenance and the intangible, infinitely expanding universe of online commentary. Our data-driven odyssey has taken us across databases, through spreadsheets, and into the depths of YouTube's comment section, all in pursuit of uncovering the truth behind this enigmatic relationship.
As we embark on this quest, it is important to approach our findings with both rigour and a touch of whimsy. For as much as we wish to remain anchored in the realm of objective analysis, we cannot help but marvel at the serendipitous nature of our discoveries. Who would have thought that the whirring of motorcycle engines in Georgia could echo through the digital ether, leaving a measurable imprint on the comment sections of Computerphile?
In the following sections, we will delve into the methodology used to collect and analyze the data, presenting our findings with the solemnity of a research presentation, peppered with just a hint of jest. The aim of this paper is not only to espouse the empirical evidence of our correlation, but also to entertain the possibility of seemingly incongruous elements converging in a statistical pas de deux, yielding insights that may elude conventional wisdom.
The journey that lies ahead promises to be as intriguing as it is unexpected, and we invite our readers to buckle up for an illuminating excursion that blurs the lines between probabilities and possibilities.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The authors set out to explore the potential relationship between the number of motorcycle mechanics in Georgia and the total comments on Computerphile YouTube videos, a correlation previously unexplored in academic literature. In a seminal study by Smith et al., "The Impact of Occupational Distributions on Digital Engagement," the authors find a dearth of research on the influence of real-world professions on virtual interactions. This notable gap in the literature underscores the novelty and significance of the present investigation.

Expanding the scope to related fields, Doe's work on "Cybernetic Connections: Unraveling the Web of Online Behavior" offers insight into the interconnected nature of digital platforms and their real-world influences. Additionally, Jones' research on "The Mechanics of Popular Culture: From Engines to Engagement" provides a comprehensive examination of the unexpected associations between seemingly disparate domains.

Venturing beyond the confines of traditional academic literature, the authors also draw inspiration from non-fiction works such as "Zen and the Art of Motorcycle Maintenance" and "How to Win Friends and Influence People." Although not directly related to empirical research, these texts offer valuable perspectives on the multifaceted nature of human interaction and the potential influence of niche professions on broader social dynamics.

In the realm of fiction, the authors draw parallels to the imaginative worlds of "Neuromancer" and "Snow Crash," where the virtual and physical realms intertwine in unexpected ways, offering a metaphorical lens through which to contemplate the intersection of motorcycle mechanics and online engagement.

Furthermore, popular internet memes such as "Distracted Boyfriend" and "This is Fine Dog" serve as humorous reflections of the seemingly incongruous connections that may exist in the digital sphere, mirroring the unexpected correlation under investigation.

As the authors synthesize these diverse sources, the stage is set for a scholarly investigation that marries statistical analysis with a touch of whimsy, inviting readers to contemplate the enigmatic relationship between motorcycle mechanics in Georgia and the digital reverberations of Computerphile's comment section.


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

Please make up the methodology section of an academic research paper presenting the findings of the connection between The number of motorcycle mechanics in Georgia and Total comments on Computerphile YouTube videos. 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 Bureau of Larbor Statistics and YouTube . You used data from 2013 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]]
"Revving Up the Comments Section: Exploring the Correlation Between Motorcycle Mechanics in Georgia and Total Comments on Computerphile YouTube Videos"

[[ABSTRACT]]
This research delves into the intriguing relationship between the number of motorcycle mechanics in the state of Georgia and the total comments on Computerphile YouTube videos. Through a rigorous analysis of data obtained from the Bureau of Labor Statistics and YouTube, our findings revealed a remarkably high correlation coefficient of 0.9575435 and a significant p-value of less than 0.01 for the period spanning 2013 to 2022. Our study highlights the unexpected interconnectedness between seemingly disparate fields, shedding light on the potentially unexplored influences that motorcycle mechanics in Georgia may exert on the virtual realm of Computerphile's comment section. The implications of these findings may rev up the engines of future interdisciplinary research, providing a fresh perspective on the intricate dynamics between real-world professions and online engagements.

[[INTRODUCTION]]
The pursuit of knowledge often leads us down unexpected paths, and in the case of our research, it has brought us to the crossroads of motorcycle mechanics and YouTube comments. The initial question that sparked this investigation was whether there could be any conceivable relationship between the number of motorcycle mechanics in the state of Georgia and the total comments on Computerphile YouTube videos. At first glance, one might struggle to discern any logical connection between these two variables. However, as we embarked on this scholarly endeavor, we set out to navigate the terrain of statistical analysis with the vigour of a well-maintained Harley Davidson.
The purpose of this paper is to present the findings of our investigation into this unconventional correlation. We were driven to explore the potential link between the tangible, grease-stained world of motorcycle maintenance and the intangible, infinitely expanding universe of online commentary. Our data-driven odyssey has taken us across databases, through spreadsheets, and into the depths of YouTube's comment section, all in pursuit of uncovering the truth behind this enigmatic relationship.
As we embark on this quest, it is important to approach our findings with both rigour and a touch of whimsy. For as much as we wish to remain anchored in the realm of objective analysis, we cannot help but marvel at the serendipitous nature of our discoveries. Who would have thought that the whirring of motorcycle engines in Georgia could echo through the digital ether, leaving a measurable imprint on the comment sections of Computerphile?
In the following sections, we will delve into the methodology used to collect and analyze the data, presenting our findings with the solemnity of a research presentation, peppered with just a hint of jest. The aim of this paper is not only to espouse the empirical evidence of our correlation, but also to entertain the possibility of seemingly incongruous elements converging in a statistical pas de deux, yielding insights that may elude conventional wisdom.
The journey that lies ahead promises to be as intriguing as it is unexpected, and we invite our readers to buckle up for an illuminating excursion that blurs the lines between probabilities and possibilities.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

Data Collection:
The data utilized in this study was collected from the Bureau of Labor Statistics for the number of motorcycle mechanics in the state of Georgia. Our research team meticulously combed through labor reports, embracing the task with the determination of a mechanic searching for a missing wrench in a cluttered toolbox. As for the total comments on Computerphile YouTube videos, our data extraction involved a digital spelunking expedition through the depths of the YouTube platform. We navigated through the comment sections with the intrepid curiosity of explorers, carefully tallying the numbers with the precision of a seasoned accountant.

Data Period:
The study encompasses a period ranging from 2013 to 2022, allowing for a comprehensive exploration of the temporal nuances in the relationship between the number of motorcycle mechanics in Georgia and the total comments on Computerphile YouTube videos. This timeframe provides a sufficiently extensive window into the dynamics of these variables, akin to observing the evolution of motorcycle design from the clunky machines of yesteryear to the sleek, high-performance models of today.

Data Analysis:
The data analysis process commenced with the meticulous organization of the collected datasets, reminiscent of assembling a complex jigsaw puzzle with unwavering focus. Subsequently, statistical software was employed to compute correlation coefficients and p-values with all the precision of a skilled mechanic fine-tuning an engine.

Correlation Coefficient Calculation:
To ascertain the quantitative relationship between the number of motorcycle mechanics in Georgia and the total comments on Computerphile YouTube videos, we calculated the Pearson correlation coefficient. The use of this method carefully quantifies the strength and direction of the linear relationship between the two variables, akin to diagnosing the condition of a motorcycle engine based on its rumbling sounds.

P-Value Computation:
In establishing the statistical significance of the correlation coefficient, the calculation of p-values played a crucial role. This methodological step rigorously scrutinizes the probability of obtaining the observed correlation by random chance, akin to evaluating the likelihood of finding an elusive wrench in a cluttered toolbox.

Normalization of Data:
Additionally, both datasets were normalized to account for any anomalies or outliers that could potentially skew the results. This normalization process provided a holistic perspective of the data, akin to aligning the wheels of a motorcycle to ensure optimal performance and stability.

Limitations:
It is important to acknowledge the limitations of this study, including the reliance on publicly available data and the inherent constraints of correlational analysis. Furthermore, the specific characteristics of the motorcycle mechanics' profession in Georgia and the nature of engagement with Computerphile's YouTube videos may introduce potential confounding variables that warrant consideration in future investigations.

In presenting the methodology employed in this research, it is our aim to demonstrate the meticulous approach taken to unravel the unexpected link between the tangible realm of motorcycle mechanics and the ethereal domain of online commentary. This methodological adventure mirrors the process of fine-tuning a motorcycle's engine, ensuring that every component contributes to the harmonious operation of the analytical machinery.


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

Please make up the results section of an academic research paper presenting the findings of the connection between The number of motorcycle mechanics in Georgia and Total comments on Computerphile YouTube videos. 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 Bureau of Larbor Statistics and YouTube .

For the time period 2013 to 2022, you found a correlation 0.9575435, r-squared of 0.9168895, 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]]
"Revving Up the Comments Section: Exploring the Correlation Between Motorcycle Mechanics in Georgia and Total Comments on Computerphile YouTube Videos"

[[ABSTRACT]]
This research delves into the intriguing relationship between the number of motorcycle mechanics in the state of Georgia and the total comments on Computerphile YouTube videos. Through a rigorous analysis of data obtained from the Bureau of Labor Statistics and YouTube, our findings revealed a remarkably high correlation coefficient of 0.9575435 and a significant p-value of less than 0.01 for the period spanning 2013 to 2022. Our study highlights the unexpected interconnectedness between seemingly disparate fields, shedding light on the potentially unexplored influences that motorcycle mechanics in Georgia may exert on the virtual realm of Computerphile's comment section. The implications of these findings may rev up the engines of future interdisciplinary research, providing a fresh perspective on the intricate dynamics between real-world professions and online engagements.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The pursuit of knowledge often leads us down unexpected paths, and in the case of our research, it has brought us to the crossroads of motorcycle mechanics and YouTube comments. The initial question that sparked this investigation was whether there could be any conceivable relationship between the number of motorcycle mechanics in the state of Georgia and the total comments on Computerphile YouTube videos. At first glance, one might struggle to discern any logical connection between these two variables. However, as we embarked on this scholarly endeavor, we set out to navigate the terrain of statistical analysis with the vigour of a well-maintained Harley Davidson.
The purpose of this paper is to present the findings of our investigation into this unconventional correlation. We were driven to explore the potential link between the tangible, grease-stained world of motorcycle maintenance and the intangible, infinitely expanding universe of online commentary. Our data-driven odyssey has taken us across databases, through spreadsheets, and into the depths of YouTube's comment section, all in pursuit of uncovering the truth behind this enigmatic relationship.
As we embark on this quest, it is important to approach our findings with both rigour and a touch of whimsy. For as much as we wish to remain anchored in the realm of objective analysis, we cannot help but marvel at the serendipitous nature of our discoveries. Who would have thought that the whirring of motorcycle engines in Georgia could echo through the digital ether, leaving a measurable imprint on the comment sections of Computerphile?
In the following sections, we will delve into the methodology used to collect and analyze the data, presenting our findings with the solemnity of a research presentation, peppered with just a hint of jest. The aim of this paper is not only to espouse the empirical evidence of our correlation, but also to entertain the possibility of seemingly incongruous elements converging in a statistical pas de deux, yielding insights that may elude conventional wisdom.
The journey that lies ahead promises to be as intriguing as it is unexpected, and we invite our readers to buckle up for an illuminating excursion that blurs the lines between probabilities and possibilities.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The analysis of the connection between the number of motorcycle mechanics in Georgia and the total comments on Computerphile YouTube videos revealed a remarkably high correlation coefficient of 0.9575435. This indicates a strong positive relationship between the two variables. In other words, as the number of motorcycle mechanics in Georgia revved up, so did the total comments on Computerphile YouTube videos, maintaining a close-knit correlation throughout the study period from 2013 to 2022.

The level of association, as indicated by the r-squared value of 0.9168895, suggests that approximately 91.7% of the variability in the total comments on Computerphile YouTube videos can be explained by the number of motorcycle mechanics in Georgia. This finding underscores the robustness of the relationship, hinting at a dynamic interplay between the physical world of motorcycle maintenance and the virtual realm of online engagement.

Further supporting the strength of the relationship, the p-value of less than 0.01 attests to the statistical significance of the observed correlation. This implies that the likelihood of obtaining such a strong correlation by chance is exceedingly low, bolstering the validity of our findings.

Additionally, the figure (Fig. 1) visually demonstrates the tight clustering of data points in the scatterplot, illustrating the strong linear relationship between the number of motorcycle mechanics in Georgia and the total comments on Computerphile YouTube videos. The figure accentuates the robustness of the association, depicting a trend that could make even the most seasoned statistician do a double-take.

In conclusion, our investigation has unveiled a surprising nexus between the world of motorcycle mechanics in Georgia and the digital domain of Computerphile's comment section. The implications of these findings go beyond the mere statistical association, transcending into a realm of interconnectedness that sparks curiosity and invites further exploration. Our study opens the throttle on interdisciplinary inquiries, offering a glimpse into the unforeseen influence that the tangible realm may exert on the virtual landscape. As we await the next rev of discovery, we stand poised at the intersection of probabilities and possibilities, ready to embark on future scholarly escapades with the same intrepid spirit that guided us through this uncharted terrain.


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

Please make up the discussion section of an academic research paper presenting the findings of the connection between The number of motorcycle mechanics in Georgia and Total comments on Computerphile YouTube videos. 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]]
"Revving Up the Comments Section: Exploring the Correlation Between Motorcycle Mechanics in Georgia and Total Comments on Computerphile YouTube Videos"

[[ABSTRACT]]
This research delves into the intriguing relationship between the number of motorcycle mechanics in the state of Georgia and the total comments on Computerphile YouTube videos. Through a rigorous analysis of data obtained from the Bureau of Labor Statistics and YouTube, our findings revealed a remarkably high correlation coefficient of 0.9575435 and a significant p-value of less than 0.01 for the period spanning 2013 to 2022. Our study highlights the unexpected interconnectedness between seemingly disparate fields, shedding light on the potentially unexplored influences that motorcycle mechanics in Georgia may exert on the virtual realm of Computerphile's comment section. The implications of these findings may rev up the engines of future interdisciplinary research, providing a fresh perspective on the intricate dynamics between real-world professions and online engagements.

[[LITERATURE REVIEW]]
The authors set out to explore the potential relationship between the number of motorcycle mechanics in Georgia and the total comments on Computerphile YouTube videos, a correlation previously unexplored in academic literature. In a seminal study by Smith et al., "The Impact of Occupational Distributions on Digital Engagement," the authors find a dearth of research on the influence of real-world professions on virtual interactions. This notable gap in the literature underscores the novelty and significance of the present investigation.
Expanding the scope to related fields, Doe's work on "Cybernetic Connections: Unraveling the Web of Online Behavior" offers insight into the interconnected nature of digital platforms and their real-world influences. Additionally, Jones' research on "The Mechanics of Popular Culture: From Engines to Engagement" provides a comprehensive examination of the unexpected associations between seemingly disparate domains.
Venturing beyond the confines of traditional academic literature, the authors also draw inspiration from non-fiction works such as "Zen and the Art of Motorcycle Maintenance" and "How to Win Friends and Influence People." Although not directly related to empirical research, these texts offer valuable perspectives on the multifaceted nature of human interaction and the potential influence of niche professions on broader social dynamics.
In the realm of fiction, the authors draw parallels to the imaginative worlds of "Neuromancer" and "Snow Crash," where the virtual and physical realms intertwine in unexpected ways, offering a metaphorical lens through which to contemplate the intersection of motorcycle mechanics and online engagement.
Furthermore, popular internet memes such as "Distracted Boyfriend" and "This is Fine Dog" serve as humorous reflections of the seemingly incongruous connections that may exist in the digital sphere, mirroring the unexpected correlation under investigation.
As the authors synthesize these diverse sources, the stage is set for a scholarly investigation that marries statistical analysis with a touch of whimsy, inviting readers to contemplate the enigmatic relationship between motorcycle mechanics in Georgia and the digital reverberations of Computerphile's comment section.

[[RESULTS]]
The analysis of the connection between the number of motorcycle mechanics in Georgia and the total comments on Computerphile YouTube videos revealed a remarkably high correlation coefficient of 0.9575435. This indicates a strong positive relationship between the two variables. In other words, as the number of motorcycle mechanics in Georgia revved up, so did the total comments on Computerphile YouTube videos, maintaining a close-knit correlation throughout the study period from 2013 to 2022.
The level of association, as indicated by the r-squared value of 0.9168895, suggests that approximately 91.7% of the variability in the total comments on Computerphile YouTube videos can be explained by the number of motorcycle mechanics in Georgia. This finding underscores the robustness of the relationship, hinting at a dynamic interplay between the physical world of motorcycle maintenance and the virtual realm of online engagement.
Further supporting the strength of the relationship, the p-value of less than 0.01 attests to the statistical significance of the observed correlation. This implies that the likelihood of obtaining such a strong correlation by chance is exceedingly low, bolstering the validity of our findings.
Additionally, the figure (Fig. 1) visually demonstrates the tight clustering of data points in the scatterplot, illustrating the strong linear relationship between the number of motorcycle mechanics in Georgia and the total comments on Computerphile YouTube videos. The figure accentuates the robustness of the association, depicting a trend that could make even the most seasoned statistician do a double-take.
In conclusion, our investigation has unveiled a surprising nexus between the world of motorcycle mechanics in Georgia and the digital domain of Computerphile's comment section. The implications of these findings go beyond the mere statistical association, transcending into a realm of interconnectedness that sparks curiosity and invites further exploration. Our study opens the throttle on interdisciplinary inquiries, offering a glimpse into the unforeseen influence that the tangible realm may exert on the virtual landscape. As we await the next rev of discovery, we stand poised at the intersection of probabilities and possibilities, ready to embark on future scholarly escapades with the same intrepid spirit that guided us through this uncharted terrain.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The results of our study have illuminated a striking and robust correlation between the number of motorcycle mechanics in Georgia and the total comments on Computerphile YouTube videos. These findings not only confirm, but also amplify, the uncharted territory that previous literature had merely hinted at – the unexpected interplay between real-world professions and virtual engagements.

This correlation, with its statistically significant p-value, echoes the sentiments of Smith et al., who lamented the dearth of research on the influence of real-world professions on digital interactions. Here, we have not only filled the void in the literature but have also kick-started a fresh avenue of interdisciplinary inquiry, as satisfying as the purr of a finely tuned motorcycle engine. The surprising relationship we have unearthed rivals the unexpected connections unraveled by Doe and Jones, echoing the interconnected nature of digital platforms and their real-world influences.

Returning to our whimsical review of literature, the meme "Distracted Boyfriend" seems to be an apt metaphor for the attention-grabbing correlation we have uncovered. Just as the boyfriend's wandering eye diverts the viewer's attention, so too does our finding divert scholarly focus to the unexplored interlinkages between motorcycle mechanics and online engagement.

Moreover, our results support the theoretical frameworks found in both non-fiction and fiction works. "Zen and the Art of Motorcycle Maintenance" and "Snow Crash" serve as fitting allegories for our study, where the artistic and the technical converge in a harmonious dance of correlation.

The exceptional strength of this correlation may well leave even the most seasoned statistician doing a double-take, akin to the unexpected twist in a gripping novel. The tight clustering of data points, as depicted in the visually striking scatterplot, portrays a narrative as compelling as any literary masterpiece, reinforcing the substantial link between motorcycle mechanics in Georgia and the digital reverberations of Computerphile's comment section.

In conclusion, our study not only moves the needle forward in empirical research but also adds a dash of audacious flair to the investigation of interdisciplinary connections, revving up the engines of future scholarly inquiries. The unexpected synergy between motorcycle mechanics and online engagement serves as a pertinent reminder that, in the vast expanse of intellectual inquiry, serendipity often paves the way for the most exhilarating discoveries.


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

Please make up a short conclusion of an academic research paper presenting the findings of the connection between The number of motorcycle mechanics in Georgia and Total comments on Computerphile YouTube videos. 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]]
"Revving Up the Comments Section: Exploring the Correlation Between Motorcycle Mechanics in Georgia and Total Comments on Computerphile YouTube Videos"

[[ABSTRACT]]
This research delves into the intriguing relationship between the number of motorcycle mechanics in the state of Georgia and the total comments on Computerphile YouTube videos. Through a rigorous analysis of data obtained from the Bureau of Labor Statistics and YouTube, our findings revealed a remarkably high correlation coefficient of 0.9575435 and a significant p-value of less than 0.01 for the period spanning 2013 to 2022. Our study highlights the unexpected interconnectedness between seemingly disparate fields, shedding light on the potentially unexplored influences that motorcycle mechanics in Georgia may exert on the virtual realm of Computerphile's comment section. The implications of these findings may rev up the engines of future interdisciplinary research, providing a fresh perspective on the intricate dynamics between real-world professions and online engagements.

[[INTRDUCTION]]
The pursuit of knowledge often leads us down unexpected paths, and in the case of our research, it has brought us to the crossroads of motorcycle mechanics and YouTube comments. The initial question that sparked this investigation was whether there could be any conceivable relationship between the number of motorcycle mechanics in the state of Georgia and the total comments on Computerphile YouTube videos. At first glance, one might struggle to discern any logical connection between these two variables. However, as we embarked on this scholarly endeavor, we set out to navigate the terrain of statistical analysis with the vigour of a well-maintained Harley Davidson.
The purpose of this paper is to present the findings of our investigation into this unconventional correlation. We were driven to explore the potential link between the tangible, grease-stained world of motorcycle maintenance and the intangible, infinitely expanding universe of online commentary. Our data-driven odyssey has taken us across databases, through spreadsheets, and into the depths of YouTube's comment section, all in pursuit of uncovering the truth behind this enigmatic relationship.
As we embark on this quest, it is important to approach our findings with both rigour and a touch of whimsy. For as much as we wish to remain anchored in the realm of objective analysis, we cannot help but marvel at the serendipitous nature of our discoveries. Who would have thought that the whirring of motorcycle engines in Georgia could echo through the digital ether, leaving a measurable imprint on the comment sections of Computerphile?
In the following sections, we will delve into the methodology used to collect and analyze the data, presenting our findings with the solemnity of a research presentation, peppered with just a hint of jest. The aim of this paper is not only to espouse the empirical evidence of our correlation, but also to entertain the possibility of seemingly incongruous elements converging in a statistical pas de deux, yielding insights that may elude conventional wisdom.
The journey that lies ahead promises to be as intriguing as it is unexpected, and we invite our readers to buckle up for an illuminating excursion that blurs the lines between probabilities and possibilities.

[[RESULTS]]
The analysis of the connection between the number of motorcycle mechanics in Georgia and the total comments on Computerphile YouTube videos revealed a remarkably high correlation coefficient of 0.9575435. This indicates a strong positive relationship between the two variables. In other words, as the number of motorcycle mechanics in Georgia revved up, so did the total comments on Computerphile YouTube videos, maintaining a close-knit correlation throughout the study period from 2013 to 2022.
The level of association, as indicated by the r-squared value of 0.9168895, suggests that approximately 91.7% of the variability in the total comments on Computerphile YouTube videos can be explained by the number of motorcycle mechanics in Georgia. This finding underscores the robustness of the relationship, hinting at a dynamic interplay between the physical world of motorcycle maintenance and the virtual realm of online engagement.
Further supporting the strength of the relationship, the p-value of less than 0.01 attests to the statistical significance of the observed correlation. This implies that the likelihood of obtaining such a strong correlation by chance is exceedingly low, bolstering the validity of our findings.
Additionally, the figure (Fig. 1) visually demonstrates the tight clustering of data points in the scatterplot, illustrating the strong linear relationship between the number of motorcycle mechanics in Georgia and the total comments on Computerphile YouTube videos. The figure accentuates the robustness of the association, depicting a trend that could make even the most seasoned statistician do a double-take.
In conclusion, our investigation has unveiled a surprising nexus between the world of motorcycle mechanics in Georgia and the digital domain of Computerphile's comment section. The implications of these findings go beyond the mere statistical association, transcending into a realm of interconnectedness that sparks curiosity and invites further exploration. Our study opens the throttle on interdisciplinary inquiries, offering a glimpse into the unforeseen influence that the tangible realm may exert on the virtual landscape. As we await the next rev of discovery, we stand poised at the intersection of probabilities and possibilities, ready to embark on future scholarly escapades with the same intrepid spirit that guided us through this uncharted terrain.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our findings present a compelling argument for the unexpected interplay between the number of motorcycle mechanics in Georgia and the total comments on Computerphile YouTube videos. The robust correlation coefficient of 0.9575435 and the strikingly low p-value provide empirical evidence of this unlikely connection, challenging conventional wisdom and revving up the engines of future interdisciplinary research.

The implications of our research stretch beyond the realm of statistical associations, hinting at a world where the purr of a motorcycle engine in Georgia could resonate through the digital vibrations of YouTube comments. The interconnection between tangible professions and virtual engagements offers a tantalizing prospect for further exploration, blurring the lines between the physical and virtual realms with the finesse of a skilled stunt rider.

As we reflect on the unexpected alliance between grease-stained garages and virtual discourse, it is impossible not to marvel at the whimsical nature of our findings. Our data-driven odyssey has not only produced scholarly insights but has also left us with a sense of wonder at the serendipitous discoveries that await those with the audacity to delve into unconventional correlations.

While our study has shed light on this enigmatic relationship, one cannot help but wonder about the broader implications of such unexpected connections. Perhaps this correlation is a testament to the ineffable and mystifying forces that underpin the fabric of our interconnected world, where the hum of a motorcycle engine and the chatter of online commentary coalesce in an exuberant symphony of human activity.

In light of these compelling findings, we assert that no further research is needed in this area, as we have undoubtedly reached the pinnacle of motorcycle mechanics-meets-YouTube commentary exploration. Our journey has laid down the kickstand of knowledge in this uncharted terrain, leaving future scholars to seek other unconventional pairings to unravel the web of interconnectedness that permeates our universe.


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 Revving Up the Comments Section: Exploring the Correlation Between Motorcycle Mechanics in Georgia and Total Comments on Computerphile YouTube Videos. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Quirky Cross-Disciplinary Studies


Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of nonprofit research organizations and associations. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding nonprofit, academic, or scientific association or organization that would sponsor research that resulted in a paper entited Revving Up the Comments Section: Exploring the Correlation Between Motorcycle Mechanics in Georgia and Total Comments on Computerphile YouTube Videos. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Sociotechnical Motorcycle Research and Online Engagement


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 Revving Up the Comments Section: Exploring the Correlation Between Motorcycle Mechanics in Georgia and Total Comments on Computerphile YouTube Videos with an abstract of This research delves into the intriguing relationship between the number of motorcycle mechanics in the state of Georgia and the total comments on Computerphile YouTube videos. Through a rigorous analysis of data obtained from the Bureau of Labor Statistics and YouTube, our findings revealed a remarkably high correlation coefficient of 0.9575435 and a significant p-value of less than 0.01 for the period spanning 2013 to 2022. Our study highlights the unexpected interconnectedness between seemingly disparate fields, shedding light on the potentially unexplored influences that motorcycle mechanics in Georgia may exert on the virtual realm of Computerphile's comment section. The implications of these findings may rev up the engines of future interdisciplinary research, providing a fresh perspective on the intricate dynamics between real-world professions and online engagements.

ChatGPT:

motorcycle mechanics, Georgia, Computerphile YouTube videos, correlation, Bureau of Labor Statistics, YouTube data, correlation coefficient, p-value, interdisciplinary research, online engagements, real-world professions

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



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Data details

The number of motorcycle mechanics in Georgia
Detailed data title: BLS estimate of motorcycle mechanics in Georgia
Source: Bureau of Larbor Statistics
See what else correlates with The number of motorcycle mechanics in Georgia

Total comments on Computerphile YouTube videos
Detailed data title: Total comments on Computerphile YouTube videos.
Source: YouTube
See what else correlates with Total comments on Computerphile YouTube videos

Correlation r = 0.9575435 (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 = 0.9168895 (Coefficient of determination)
This means 91.7% of the change in the one variable (i.e., Total comments on Computerphile YouTube videos) is predictable based on the change in the other (i.e., The number of motorcycle mechanics in Georgia) over the 10 years from 2013 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.4E-5. 0.0000135037897460429850000000
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 0.96 in 0.0014% of random cases. Said differently, if you correlated 74,053 random variables You don't actually need 74 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 9 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 9 because we have two variables measured over a period of 10 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.

[ 0.83, 0.99 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

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


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

Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
2013201420152016201720182019202020212022
The number of motorcycle mechanics in Georgia (Motorcycle Mechanics)360390350390450370320260260210
Total comments on Computerphile YouTube videos (Total comments)30749389833067940303436962773624345187651977614597




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.




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([360,390,350,390,450,370,320,260,260,210,])
array_2 = np.array([30749,38983,30679,40303,43696,27736,24345,18765,19776,14597,])
array_1_name = "The number of motorcycle mechanics in Georgia"
array_2_name = "Total comments on Computerphile 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)



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

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

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

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Correlation ID: 4513 · Black Variable ID: 6897 · Red Variable ID: 25925
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