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Spurious correlation #4,641 · 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 carpet installers in Florida and the second variable is Average number of comments on Matt Parker's YouTube videos.  The chart goes from 2011 to 2021, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

As the carpet installers in Florida perfected the art of laying down those straight, seamless lines, viewers couldn't help but notice the correlation between their skills and the impeccable comedic timing in the Stand-up Maths videos. The uncanny connection between precision on the floor and precision in the punchlines had internet users rolling on the floor laughing, turning the comment section into a wall-to-wall carpet of clever remarks and witty banter. It seems that as these installers were nailing the flooring, they were also laying the groundwork for a surge in mathematical humor appreciation.

Model: dalle-3
Prompt: Prompt: Generate an image that encapsulates the synergy between meticulous carpet installation in a bustling Florida shop and a Stand-up Maths video playing on a computer screen. The installation scene should exude an air of cyberpunk aesthetic, featuring skilled workers laying down precise lines of carpet in a futuristic setting. Simultaneously, the computer screen should display the engaging Stand-up Maths video, drawing viewers in with its perfectly timed jokes and clever punchlines. As the skilled workers diligently install the carpet, the video's comment section should be depicted as filling up with witty remarks and clever banter, creating a vibrant and dynamic visual representation of humor appreciation that parallels the precision of the flooring. 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 carpet installers in Florida and Average number of comments on Stand-up Maths 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: Magic realism Cyberpunk A scene from Skyrim Symbolism Low poly
ChatGPT: Cyberpunk

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 carpet installers in Florida and Average number of comments on Stand-up Maths YouTube videos, in the following situation: As the carpet installers in Florida perfected the art of laying down those straight, seamless lines, viewers couldn't help but notice the correlation between their skills and the impeccable comedic timing in the Stand-up Maths videos. The uncanny connection between precision on the floor and precision in the punchlines had internet users rolling on the floor laughing, turning the comment section into a wall-to-wall carpet of clever remarks and witty banter. It seems that as these installers were nailing the flooring, they were also laying the groundwork for a surge in mathematical humor appreciation.. Keep the description simple.
ChatGPT: In a bustling Florida carpet installation shop, skilled workers meticulously lay down precise lines of carpet, creating a flawless floor. Meanwhile, on a computer screen, a Stand-up Maths video plays, drawing viewers in with its perfectly timed jokes and clever punchlines. As the installers work diligently, the video's comment section becomes filled with witty remarks and clever banter, creating a carpet of humor appreciation that parallels the precision of the flooring.

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: [ Cyberpunk ] and depicting this scene: In a bustling Florida carpet installation shop, skilled workers meticulously lay down precise lines of carpet, creating a flawless floor. Meanwhile, on a computer screen, a Stand-up Maths video plays, drawing viewers in with its perfectly timed jokes and clever punchlines. As the installers work diligently, the video's comment section becomes filled with witty remarks and clever banter, creating a carpet of humor appreciation that parallels the precision of the flooring. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Prompt: Generate an image that encapsulates the synergy between meticulous carpet installation in a bustling Florida shop and a Stand-up Maths video playing on a computer screen. The installation scene should exude an air of cyberpunk aesthetic, featuring skilled workers laying down precise lines of carpet in a futuristic setting. Simultaneously, the computer screen should display the engaging Stand-up Maths video, drawing viewers in with its perfectly timed jokes and clever punchlines. As the skilled workers diligently install the carpet, the video's comment section should be depicted as filling up with witty remarks and clever banter, creating a vibrant and dynamic visual representation of humor appreciation that parallels the precision of the flooring.

*Variations in the User Prompts from chart to chart are just the result of random number generation in Python. I wrote a few arrays of various styles and methods to ask questions to change up the results. Every time this site writes an explanation or generates an image, the script picks from each at random.

I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.

Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in The number of carpet installers in Florida caused Average number of comments on Stand-up Maths YouTube videos to increase. Make it feel plausible.

AI academic paper

(Because p < 0.01)
Laying the Groundwork: The Link Between Carpet Installers in Florida and Average Number of Comments on Stand-up Maths YouTube Videos

The Journal of Humor in Applied Mathematics and Home Installation Sciences

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 carpet installers in Florida and Average number of comments on Stand-up Maths YouTube videos. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Make the title punny if you can come up with clever pun. If not, make it sound serious.

Your research team used data from Bureau of Larbor Statistics and YouTube to assess this nagging question. You found a correlation coefficient of 0.9735799 and p < 0.01 for 2011 to 2021.

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

[[TITLE]]
Lorem ipsum dolor sit

[[ABSTRACT]]
Lorem ipsum dolor sit



ChatGPT:
[[TITLE]]
Laying the Groundwork: The Link Between Carpet Installers in Florida and Average Number of Comments on Stand-up Maths YouTube Videos

[[ABSTRACT]]
This study aims to explore the surprising and seemingly inexplicable relationship between the number of carpet installers in the sunshine state of Florida and the average number of comments on Stand-up Maths YouTube videos. Through the meticulous analysis of data obtained from the Bureau of Labor Statistics and YouTube over the period of 2011 to 2021, a remarkably strong correlation coefficient of 0.9735799 and p < 0.01 was observed. In this paper, we delve into the implications of this peculiar connection and discuss possible theoretical frameworks that may elucidate this enigmatic relationship. We also offer a tongue-in-cheek assessment of potential societal and cultural factors that may be influencing these distinctive patterns. This study not only provides an intriguing insight into these unexpected associations but also highlights the whimsical and sometimes confounding coincidences that can emerge from the analysis of seemingly unrelated data sets.


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 carpet installers in Florida and Average number of comments on Stand-up Maths YouTube videos. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Here is the title and abstract of the paper:
[[TITLE]]
Laying the Groundwork: The Link Between Carpet Installers in Florida and Average Number of Comments on Stand-up Maths YouTube Videos

[[ABSTRACT]]
This study aims to explore the surprising and seemingly inexplicable relationship between the number of carpet installers in the sunshine state of Florida and the average number of comments on Stand-up Maths YouTube videos. Through the meticulous analysis of data obtained from the Bureau of Labor Statistics and YouTube over the period of 2011 to 2021, a remarkably strong correlation coefficient of 0.9735799 and p < 0.01 was observed. In this paper, we delve into the implications of this peculiar connection and discuss possible theoretical frameworks that may elucidate this enigmatic relationship. We also offer a tongue-in-cheek assessment of potential societal and cultural factors that may be influencing these distinctive patterns. This study not only provides an intriguing insight into these unexpected associations but also highlights the whimsical and sometimes confounding coincidences that can emerge from the analysis of seemingly unrelated data sets.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
**[[INTRODUCTION]]**

The relationship between seemingly unrelated variables has long been a source of fascination in the field of statistical analysis. In this study, we investigate the curious connection between the number of carpet installers in Florida and the average number of comments on Stand-up Maths YouTube videos. While these two entities may appear as distant from each other as the two ends of a roll of carpet, our analysis reveals a surprising correlation that begs further investigation.

Despite the initial disbelief and raised eyebrows upon sharing the premise of this study, our data analysis offers compelling evidence of a strong and positive relationship between these seemingly disparate factors. The confluence of these distinct phenomena raises compelling questions about the unexplored interplay of factors that shape both the labor market and online engagement. To our knowledge, this is the first attempt to systematically examine these relationships, and we are excited to unravel the peculiar connections that have emerged from our analysis.

It is noteworthy that our study is not merely a dry exercise in statistical analysis but also involves a tongue-in-cheek approach to understanding the potential whimsical nature of these unexpected associations. While the pursuit of scientific inquiry often demands a serious demeanor, it is our contention that embracing a lighthearted perspective may offer unique insights into the enigmatic nature of these correlations.

In the forthcoming sections of this paper, we will first present our methodology for data collection and statistical analysis. Subsequently, we will delve into the findings of our investigation, including the magnitude and significance of the observed relationship. Finally, we will explore potential theoretical frameworks and offer some light-hearted speculation on the societal and cultural factors that may underpin this intriguing connection.

This study promises to not only shed light on the unanticipated relationships between seemingly unrelated phenomena but also to infuse a sense of amusement and wonder into the often somber landscape of academic research.


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 carpet installers in Florida and Average number of comments on Stand-up Maths 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. Perhaps you also got inspiration from some board games that are vaugely related.

Here is the title and abstract of the paper:
[[TITLE]]
Laying the Groundwork: The Link Between Carpet Installers in Florida and Average Number of Comments on Stand-up Maths YouTube Videos

[[ABSTRACT]]
This study aims to explore the surprising and seemingly inexplicable relationship between the number of carpet installers in the sunshine state of Florida and the average number of comments on Stand-up Maths YouTube videos. Through the meticulous analysis of data obtained from the Bureau of Labor Statistics and YouTube over the period of 2011 to 2021, a remarkably strong correlation coefficient of 0.9735799 and p < 0.01 was observed. In this paper, we delve into the implications of this peculiar connection and discuss possible theoretical frameworks that may elucidate this enigmatic relationship. We also offer a tongue-in-cheek assessment of potential societal and cultural factors that may be influencing these distinctive patterns. This study not only provides an intriguing insight into these unexpected associations but also highlights the whimsical and sometimes confounding coincidences that can emerge from the analysis of seemingly unrelated data sets.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The relationship between seemingly unrelated variables has long been a source of fascination in the field of statistical analysis. In this study, we investigate the curious connection between the number of carpet installers in Florida and the average number of comments on Stand-up Maths YouTube videos. While these two entities may appear as distant from each other as the two ends of a roll of carpet, our analysis reveals a surprising correlation that begs further investigation.
Despite the initial disbelief and raised eyebrows upon sharing the premise of this study, our data analysis offers compelling evidence of a strong and positive relationship between these seemingly disparate factors. The confluence of these distinct phenomena raises compelling questions about the unexplored interplay of factors that shape both the labor market and online engagement. To our knowledge, this is the first attempt to systematically examine these relationships, and we are excited to unravel the peculiar connections that have emerged from our analysis.
It is noteworthy that our study is not merely a dry exercise in statistical analysis but also involves a tongue-in-cheek approach to understanding the potential whimsical nature of these unexpected associations. While the pursuit of scientific inquiry often demands a serious demeanor, it is our contention that embracing a lighthearted perspective may offer unique insights into the enigmatic nature of these correlations.
In the forthcoming sections of this paper, we will first present our methodology for data collection and statistical analysis. Subsequently, we will delve into the findings of our investigation, including the magnitude and significance of the observed relationship. Finally, we will explore potential theoretical frameworks and offer some light-hearted speculation on the societal and cultural factors that may underpin this intriguing connection.
This study promises to not only shed light on the unanticipated relationships between seemingly unrelated phenomena but also to infuse a sense of amusement and wonder into the often somber landscape of academic research.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The perplexing relationship between the number of carpet installers in Florida and the average number of comments on Stand-up Maths YouTube videos has captured the interest of researchers and scholars alike. The authors find that this unexpected association has remained largely unexplored in the academic literature, with few empirical studies offering insights into the potential link between these ostensibly unrelated variables.

In "Smith et al.'s Study on Labor Market Dynamics," the authors examine labor market trends and occupational employment patterns in Florida. While their study primarily focuses on the shifts in employment across various sectors, it offers an inadvertent glimpse into the landscape of carpet installers in the state. Interestingly, "Doe and Jones' Analysis of Online Engagement" provides a comprehensive overview of factors influencing user engagement on digital platforms. Although their research does not specifically address the peculiar realm of mathematical comedy content on YouTube, it serves as a valuable reference point for understanding online audience behavior.

Turning to the work of non-fiction authors, "The Carpet Diaries: A Journey Through Florida's Flooring Industry" by Anne Oakley provides a detailed ethnographic account of carpet installation practices in Florida, offering a contextual backdrop for our investigation. Additionally, "The Algorithmic Enigma: Decoding Online Interactions" by Max Brightwell offers a riveting exploration of the algorithms and mechanisms underpinning virtual engagement, which indirectly informs our understanding of YouTube comments.

In the realm of fiction, the renowned novel "The Curious Case of the Count and the Carpet" by Agatha Christie presents an intriguing narrative that, while unrelated to our research topic, underscores the necessity of curiosity and open-mindedness in investigative pursuits. Furthermore, the science fiction classic "A Hitchhiker's Guide to the Galley" by Douglas Adams playfully explores the absurdities of the universe, reflecting the lighthearted approach we adopt in unraveling the enigmatic association between carpet installers and YouTube engagement.

Moreover, drawing inspiration from board games, "Clue: The Statistical Edition" offers a whimsical reinterpretation of classic deduction games, which resonates with the analytical and speculative nature of our inquiry. The strategic elements and surprising revelations in "Pandemic: Data Outbreak" also serve as a metaphorical reflection of the unexpected connections we seek to unravel in our study.

In sum, while the existing literature may not directly address the intersection of carpet installers and mathematical comedy on YouTube, it offers valuable perspectives and thematic parallels that inform our exploration of this curious relationship. The subsequent sections of this paper will elucidate the empirical findings and theoretical implications arising from this unprecedented investigation.


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 carpet installers in Florida and Average number of comments on Stand-up Maths YouTube videos. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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 2011 to 2021

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

Here is the title, abstract, and introduction of the paper:
[[TITLE]]
Laying the Groundwork: The Link Between Carpet Installers in Florida and Average Number of Comments on Stand-up Maths YouTube Videos

[[ABSTRACT]]
This study aims to explore the surprising and seemingly inexplicable relationship between the number of carpet installers in the sunshine state of Florida and the average number of comments on Stand-up Maths YouTube videos. Through the meticulous analysis of data obtained from the Bureau of Labor Statistics and YouTube over the period of 2011 to 2021, a remarkably strong correlation coefficient of 0.9735799 and p < 0.01 was observed. In this paper, we delve into the implications of this peculiar connection and discuss possible theoretical frameworks that may elucidate this enigmatic relationship. We also offer a tongue-in-cheek assessment of potential societal and cultural factors that may be influencing these distinctive patterns. This study not only provides an intriguing insight into these unexpected associations but also highlights the whimsical and sometimes confounding coincidences that can emerge from the analysis of seemingly unrelated data sets.

[[INTRODUCTION]]
The relationship between seemingly unrelated variables has long been a source of fascination in the field of statistical analysis. In this study, we investigate the curious connection between the number of carpet installers in Florida and the average number of comments on Stand-up Maths YouTube videos. While these two entities may appear as distant from each other as the two ends of a roll of carpet, our analysis reveals a surprising correlation that begs further investigation.
Despite the initial disbelief and raised eyebrows upon sharing the premise of this study, our data analysis offers compelling evidence of a strong and positive relationship between these seemingly disparate factors. The confluence of these distinct phenomena raises compelling questions about the unexplored interplay of factors that shape both the labor market and online engagement. To our knowledge, this is the first attempt to systematically examine these relationships, and we are excited to unravel the peculiar connections that have emerged from our analysis.
It is noteworthy that our study is not merely a dry exercise in statistical analysis but also involves a tongue-in-cheek approach to understanding the potential whimsical nature of these unexpected associations. While the pursuit of scientific inquiry often demands a serious demeanor, it is our contention that embracing a lighthearted perspective may offer unique insights into the enigmatic nature of these correlations.
In the forthcoming sections of this paper, we will first present our methodology for data collection and statistical analysis. Subsequently, we will delve into the findings of our investigation, including the magnitude and significance of the observed relationship. Finally, we will explore potential theoretical frameworks and offer some light-hearted speculation on the societal and cultural factors that may underpin this intriguing connection.
This study promises to not only shed light on the unanticipated relationships between seemingly unrelated phenomena but also to infuse a sense of amusement and wonder into the often somber landscape of academic research.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

Data Collection:
The data utilized in this study was collected from a variety of sources, including the Bureau of Labor Statistics and the ever-entertaining realm of YouTube. Our research team scoured the internet with the fervor of a determined detective, sifting through years of carpet-related employment figures in Florida and the comment counts on Stand-up Maths YouTube videos from 2011 to 2021.

Processing the Carpet Installation Data:
To estimate the number of carpet installers in Florida, we employed a multi-step process involving the cross-referencing of occupational codes, employment data, and the expertise of a particularly knowledgeable carpet aficionado named Pete. Pete's insights provided invaluable context to the occupational nuances of carpet installation, offering a depth of understanding that transcends the mere numerical representation of labor statistics.

YouTube Video Engagement Metrics:
The average number of comments on Stand-up Maths YouTube videos was not just a simple tallying of responses—no, it was a meticulous analysis akin to dissecting the eccentricities of a complex mathematical proof. We meticulously counted, categorized, and scrutinized each comment, uncovering the quirks and idiosyncrasies of online engagement with the precision of a forensic linguist.

Statistical Analysis:
The crux of our analysis involved the application of rigorous statistical methods, including but not limited to, correlation analysis, regression modeling, and the occasional invocation of the mystical powers of statistical software. Our aim was to ferret out any hidden relationships between the number of carpet installers in Florida and the average number of comments on Stand-up Maths YouTube videos with the fervor of a treasure hunter seeking the elusive "X" that marks the spot of statistical significance.

Before delving into the magnitude of our findings, it is important to note that our methodological approach, while firmly grounded in established statistical techniques, also allowed for a touch of whimsy and levity, in line with the lighthearted spirit of our inquiry. This mirthful approach serves not only to infuse a sense of lightheartedness into the often sober world of academia but also to foster creative ruminations on the unexpected results that emerged from our analysis.


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 carpet installers in Florida and Average number of comments on Stand-up Maths YouTube videos. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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 2011 to 2021, you found a correlation 0.9735799, r-squared of 0.9478577, 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]]
Laying the Groundwork: The Link Between Carpet Installers in Florida and Average Number of Comments on Stand-up Maths YouTube Videos

[[ABSTRACT]]
This study aims to explore the surprising and seemingly inexplicable relationship between the number of carpet installers in the sunshine state of Florida and the average number of comments on Stand-up Maths YouTube videos. Through the meticulous analysis of data obtained from the Bureau of Labor Statistics and YouTube over the period of 2011 to 2021, a remarkably strong correlation coefficient of 0.9735799 and p < 0.01 was observed. In this paper, we delve into the implications of this peculiar connection and discuss possible theoretical frameworks that may elucidate this enigmatic relationship. We also offer a tongue-in-cheek assessment of potential societal and cultural factors that may be influencing these distinctive patterns. This study not only provides an intriguing insight into these unexpected associations but also highlights the whimsical and sometimes confounding coincidences that can emerge from the analysis of seemingly unrelated data sets.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The relationship between seemingly unrelated variables has long been a source of fascination in the field of statistical analysis. In this study, we investigate the curious connection between the number of carpet installers in Florida and the average number of comments on Stand-up Maths YouTube videos. While these two entities may appear as distant from each other as the two ends of a roll of carpet, our analysis reveals a surprising correlation that begs further investigation.
Despite the initial disbelief and raised eyebrows upon sharing the premise of this study, our data analysis offers compelling evidence of a strong and positive relationship between these seemingly disparate factors. The confluence of these distinct phenomena raises compelling questions about the unexplored interplay of factors that shape both the labor market and online engagement. To our knowledge, this is the first attempt to systematically examine these relationships, and we are excited to unravel the peculiar connections that have emerged from our analysis.
It is noteworthy that our study is not merely a dry exercise in statistical analysis but also involves a tongue-in-cheek approach to understanding the potential whimsical nature of these unexpected associations. While the pursuit of scientific inquiry often demands a serious demeanor, it is our contention that embracing a lighthearted perspective may offer unique insights into the enigmatic nature of these correlations.
In the forthcoming sections of this paper, we will first present our methodology for data collection and statistical analysis. Subsequently, we will delve into the findings of our investigation, including the magnitude and significance of the observed relationship. Finally, we will explore potential theoretical frameworks and offer some light-hearted speculation on the societal and cultural factors that may underpin this intriguing connection.
This study promises to not only shed light on the unanticipated relationships between seemingly unrelated phenomena but also to infuse a sense of amusement and wonder into the often somber landscape of academic research.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The analysis of the data collected from the Bureau of Labor Statistics and YouTube revealed a striking correlation between the number of carpet installers in Florida and the average number of comments on Stand-up Maths YouTube videos. The correlation coefficient of 0.9735799 indicated a very strong relationship between these seemingly unrelated variables.

The r-squared value of 0.9478577 further underscored the robustness of this connection, suggesting that approximately 94.79% of the variation in the average number of comments on Stand-up Maths YouTube videos could be explained by the number of carpet installers in Florida. Such high explanatory power is quite remarkable, considering the disparate nature of the variables under investigation.

The p-value of less than 0.01 provided strong evidence against the null hypothesis of no correlation, further bolstering the credibility of our findings. This statistical significance confidently refutes the possibility that the observed relationship is merely due to random chance, leaving us with the inescapable conclusion that there is indeed a substantial connection between these two phenomena.

Figure 1 illustrates the stark correlation between the number of carpet installers in Florida and the average number of comments on Stand-up Maths YouTube videos, further emphasizing the strength of this unexpected relationship. The scatterplot depicts a clear and tightly clustered pattern, leaving little room for doubt regarding the pronounced association between the variables.

In light of these compelling results, it is clear that the link between carpet installers in Florida and the average number of comments on Stand-up Maths YouTube videos is not a mere happenstance. The magnitude and significance of this connection invite further exploration into the underlying mechanisms and potential causative factors. We are left to ponder the curious interplay of labor market dynamics and online engagement, and perhaps even to marvel at the whimsical coincidences that can emerge from the analysis of seemingly unrelated data sets.


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 carpet installers in Florida and Average number of comments on Stand-up Maths YouTube videos. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Limit your response to 500 tokens.

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

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

[[TITLE]]
Laying the Groundwork: The Link Between Carpet Installers in Florida and Average Number of Comments on Stand-up Maths YouTube Videos

[[ABSTRACT]]
This study aims to explore the surprising and seemingly inexplicable relationship between the number of carpet installers in the sunshine state of Florida and the average number of comments on Stand-up Maths YouTube videos. Through the meticulous analysis of data obtained from the Bureau of Labor Statistics and YouTube over the period of 2011 to 2021, a remarkably strong correlation coefficient of 0.9735799 and p < 0.01 was observed. In this paper, we delve into the implications of this peculiar connection and discuss possible theoretical frameworks that may elucidate this enigmatic relationship. We also offer a tongue-in-cheek assessment of potential societal and cultural factors that may be influencing these distinctive patterns. This study not only provides an intriguing insight into these unexpected associations but also highlights the whimsical and sometimes confounding coincidences that can emerge from the analysis of seemingly unrelated data sets.

[[LITERATURE REVIEW]]
The perplexing relationship between the number of carpet installers in Florida and the average number of comments on Stand-up Maths YouTube videos has captured the interest of researchers and scholars alike. The authors find that this unexpected association has remained largely unexplored in the academic literature, with few empirical studies offering insights into the potential link between these ostensibly unrelated variables.
In "Smith et al.'s Study on Labor Market Dynamics," the authors examine labor market trends and occupational employment patterns in Florida. While their study primarily focuses on the shifts in employment across various sectors, it offers an inadvertent glimpse into the landscape of carpet installers in the state. Interestingly, "Doe and Jones' Analysis of Online Engagement" provides a comprehensive overview of factors influencing user engagement on digital platforms. Although their research does not specifically address the peculiar realm of mathematical comedy content on YouTube, it serves as a valuable reference point for understanding online audience behavior.
Turning to the work of non-fiction authors, "The Carpet Diaries: A Journey Through Florida's Flooring Industry" by Anne Oakley provides a detailed ethnographic account of carpet installation practices in Florida, offering a contextual backdrop for our investigation. Additionally, "The Algorithmic Enigma: Decoding Online Interactions" by Max Brightwell offers a riveting exploration of the algorithms and mechanisms underpinning virtual engagement, which indirectly informs our understanding of YouTube comments.
In the realm of fiction, the renowned novel "The Curious Case of the Count and the Carpet" by Agatha Christie presents an intriguing narrative that, while unrelated to our research topic, underscores the necessity of curiosity and open-mindedness in investigative pursuits. Furthermore, the science fiction classic "A Hitchhiker's Guide to the Galley" by Douglas Adams playfully explores the absurdities of the universe, reflecting the lighthearted approach we adopt in unraveling the enigmatic association between carpet installers and YouTube engagement.
Moreover, drawing inspiration from board games, "Clue: The Statistical Edition" offers a whimsical reinterpretation of classic deduction games, which resonates with the analytical and speculative nature of our inquiry. The strategic elements and surprising revelations in "Pandemic: Data Outbreak" also serve as a metaphorical reflection of the unexpected connections we seek to unravel in our study.
In sum, while the existing literature may not directly address the intersection of carpet installers and mathematical comedy on YouTube, it offers valuable perspectives and thematic parallels that inform our exploration of this curious relationship. The subsequent sections of this paper will elucidate the empirical findings and theoretical implications arising from this unprecedented investigation.

[[RESULTS]]
The analysis of the data collected from the Bureau of Labor Statistics and YouTube revealed a striking correlation between the number of carpet installers in Florida and the average number of comments on Stand-up Maths YouTube videos. The correlation coefficient of 0.9735799 indicated a very strong relationship between these seemingly unrelated variables.
The r-squared value of 0.9478577 further underscored the robustness of this connection, suggesting that approximately 94.79% of the variation in the average number of comments on Stand-up Maths YouTube videos could be explained by the number of carpet installers in Florida. Such high explanatory power is quite remarkable, considering the disparate nature of the variables under investigation.
The p-value of less than 0.01 provided strong evidence against the null hypothesis of no correlation, further bolstering the credibility of our findings. This statistical significance confidently refutes the possibility that the observed relationship is merely due to random chance, leaving us with the inescapable conclusion that there is indeed a substantial connection between these two phenomena.
Figure 1 illustrates the stark correlation between the number of carpet installers in Florida and the average number of comments on Stand-up Maths YouTube videos, further emphasizing the strength of this unexpected relationship. The scatterplot depicts a clear and tightly clustered pattern, leaving little room for doubt regarding the pronounced association between the variables.
In light of these compelling results, it is clear that the link between carpet installers in Florida and the average number of comments on Stand-up Maths YouTube videos is not a mere happenstance. The magnitude and significance of this connection invite further exploration into the underlying mechanisms and potential causative factors. We are left to ponder the curious interplay of labor market dynamics and online engagement, and perhaps even to marvel at the whimsical coincidences that can emerge from the analysis of seemingly unrelated data sets.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The findings of our study provide compelling evidence in support of the unexpected relationship between the number of carpet installers in Florida and the average number of comments on Stand-up Maths YouTube videos. Our results align with the previous literature on labor market dynamics, user engagement on digital platforms, and even draw insights from non-fiction and fictional works, affirming the validity and significance of this unanticipated correlation.

The unintentional glimpse into the landscape of carpet installers in Florida provided by Smith et al.'s study offers an inadvertent backdrop to our investigation, shedding light on the employment patterns in the state. Contrary to initial skepticism, our results corroborate the notion that the presence of carpet installers in Florida, as captured in labor market dynamics, is indeed intricately linked to the virtual realm of mathematical comedy content on YouTube. The robust correlation coefficient further emphasizes the strength of this unforeseen connection, reinforcing the unintentional interplay between occupational employment patterns and online audience behavior.

Doe and Jones' comprehensive overview of factors influencing user engagement on digital platforms indirectly informs our understanding of YouTube comments, a key variable in our study. While their research may not directly address the peculiar realm of mathematical comedy content on YouTube, the theoretical implications offered by their work find resonance in our unexpectedly synchronous findings. The high explanatory power of the relationship unraveled in our study suggests that the factors influencing user engagement, though not explicitly analyzed in the context of mathematical comedy, play a pivotal role in shaping online interactions.

The detailed ethnographic account of carpet installation practices in Florida by Anne Oakley provides a contextual backdrop for our investigation, guiding our understanding of the labor market dynamics in the sunshine state. The unexpected parallels between the carpet installation industry and the world of YouTube engagement underscore the interdisciplinary relevance of our findings, transcending the confines of traditional research boundaries and offering a whimsical confluence between disparate domains.

In conclusion, our research unearths a serendipitous association between the number of carpet installers in Florida and the average number of comments on Stand-up Maths YouTube videos, challenging conventional notions of causal relationships and inviting further inquiry into the whimsical interplay of seemingly unrelated phenomena. The unexpected connections revealed in this study not only serve as a testament to the delightful surprises that can emerge from empirical investigations but also exemplify the rich tapestry of scholarly exploration, where unexpected correlations beckon with the promise of illuminating new pathways of inquiry.


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 carpet installers in Florida and Average number of comments on Stand-up Maths YouTube videos. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Laying the Groundwork: The Link Between Carpet Installers in Florida and Average Number of Comments on Stand-up Maths YouTube Videos

[[ABSTRACT]]
This study aims to explore the surprising and seemingly inexplicable relationship between the number of carpet installers in the sunshine state of Florida and the average number of comments on Stand-up Maths YouTube videos. Through the meticulous analysis of data obtained from the Bureau of Labor Statistics and YouTube over the period of 2011 to 2021, a remarkably strong correlation coefficient of 0.9735799 and p < 0.01 was observed. In this paper, we delve into the implications of this peculiar connection and discuss possible theoretical frameworks that may elucidate this enigmatic relationship. We also offer a tongue-in-cheek assessment of potential societal and cultural factors that may be influencing these distinctive patterns. This study not only provides an intriguing insight into these unexpected associations but also highlights the whimsical and sometimes confounding coincidences that can emerge from the analysis of seemingly unrelated data sets.

[[INTRDUCTION]]
The relationship between seemingly unrelated variables has long been a source of fascination in the field of statistical analysis. In this study, we investigate the curious connection between the number of carpet installers in Florida and the average number of comments on Stand-up Maths YouTube videos. While these two entities may appear as distant from each other as the two ends of a roll of carpet, our analysis reveals a surprising correlation that begs further investigation.
Despite the initial disbelief and raised eyebrows upon sharing the premise of this study, our data analysis offers compelling evidence of a strong and positive relationship between these seemingly disparate factors. The confluence of these distinct phenomena raises compelling questions about the unexplored interplay of factors that shape both the labor market and online engagement. To our knowledge, this is the first attempt to systematically examine these relationships, and we are excited to unravel the peculiar connections that have emerged from our analysis.
It is noteworthy that our study is not merely a dry exercise in statistical analysis but also involves a tongue-in-cheek approach to understanding the potential whimsical nature of these unexpected associations. While the pursuit of scientific inquiry often demands a serious demeanor, it is our contention that embracing a lighthearted perspective may offer unique insights into the enigmatic nature of these correlations.
In the forthcoming sections of this paper, we will first present our methodology for data collection and statistical analysis. Subsequently, we will delve into the findings of our investigation, including the magnitude and significance of the observed relationship. Finally, we will explore potential theoretical frameworks and offer some light-hearted speculation on the societal and cultural factors that may underpin this intriguing connection.
This study promises to not only shed light on the unanticipated relationships between seemingly unrelated phenomena but also to infuse a sense of amusement and wonder into the often somber landscape of academic research.

[[RESULTS]]
The analysis of the data collected from the Bureau of Labor Statistics and YouTube revealed a striking correlation between the number of carpet installers in Florida and the average number of comments on Stand-up Maths YouTube videos. The correlation coefficient of 0.9735799 indicated a very strong relationship between these seemingly unrelated variables.
The r-squared value of 0.9478577 further underscored the robustness of this connection, suggesting that approximately 94.79% of the variation in the average number of comments on Stand-up Maths YouTube videos could be explained by the number of carpet installers in Florida. Such high explanatory power is quite remarkable, considering the disparate nature of the variables under investigation.
The p-value of less than 0.01 provided strong evidence against the null hypothesis of no correlation, further bolstering the credibility of our findings. This statistical significance confidently refutes the possibility that the observed relationship is merely due to random chance, leaving us with the inescapable conclusion that there is indeed a substantial connection between these two phenomena.
Figure 1 illustrates the stark correlation between the number of carpet installers in Florida and the average number of comments on Stand-up Maths YouTube videos, further emphasizing the strength of this unexpected relationship. The scatterplot depicts a clear and tightly clustered pattern, leaving little room for doubt regarding the pronounced association between the variables.
In light of these compelling results, it is clear that the link between carpet installers in Florida and the average number of comments on Stand-up Maths YouTube videos is not a mere happenstance. The magnitude and significance of this connection invite further exploration into the underlying mechanisms and potential causative factors. We are left to ponder the curious interplay of labor market dynamics and online engagement, and perhaps even to marvel at the whimsical coincidences that can emerge from the analysis of seemingly unrelated data sets.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, the findings of this study provide compelling evidence of a remarkably strong and unexpected relationship between the number of carpet installers in Florida and the average number of comments on Stand-up Maths YouTube videos. The robust correlation coefficient, high explanatory power, and statistical significance point to a connection that defies conventional logic and prompts further inquiry.

This peculiar association challenges traditional notions of causality and invites a lighthearted exploration of the whimsical and confounding aspects of statistical analysis. Who would have thought that the installation of carpets in the sunshine state could hold sway over the online engagement with mathematical stand-up comedy? This unexpected link has certainly laid the groundwork for chuckles and head-scratching in the academic community.

While it may be tempting to lay this correlation under the proverbial rug of statistical anomalies, the strength and consistency of the observed relationship cannot be ignored. The confluence of these disparate phenomena serves as a reminder that the world of data analysis is rife with surprises and oddities, and that a touch of levity can offer refreshing insights into the enigmatic nature of statistical relationships.

As such, this study puts forth a compelling case for embracing the unexpected and the absurd in scientific inquiry. In doing so, it not only challenges the boundaries of statistical analysis but also injects a dose of humor and curiosity into the often staid realm of academic research.

In light of these findings, it is the inescapable conclusion of this study that further investigation into the interplay of carpet installation and mathematical comedy on YouTube is unnecessary. The discovered connection stands as a testament to the unpredictable and delightfully strange nature of statistical relationships, and no further research is needed in this area.


Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of academic journals. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding research, scientific, or academic journal that would publish a paper entited Laying the Groundwork: The Link Between Carpet Installers in Florida and Average Number of Comments on Stand-up Maths YouTube Videos. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Humor in Applied Mathematics and Home Installation Sciences


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 Laying the Groundwork: The Link Between Carpet Installers in Florida and Average Number of Comments on Stand-up Maths YouTube Videos. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Comedic Carpet Studies


Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled Laying the Groundwork: The Link Between Carpet Installers in Florida and Average Number of Comments on Stand-up Maths YouTube Videos with an abstract of This study aims to explore the surprising and seemingly inexplicable relationship between the number of carpet installers in the sunshine state of Florida and the average number of comments on Stand-up Maths YouTube videos. Through the meticulous analysis of data obtained from the Bureau of Labor Statistics and YouTube over the period of 2011 to 2021, a remarkably strong correlation coefficient of 0.9735799 and p < 0.01 was observed. In this paper, we delve into the implications of this peculiar connection and discuss possible theoretical frameworks that may elucidate this enigmatic relationship. We also offer a tongue-in-cheek assessment of potential societal and cultural factors that may be influencing these distinctive patterns. This study not only provides an intriguing insight into these unexpected associations but also highlights the whimsical and sometimes confounding coincidences that can emerge from the analysis of seemingly unrelated data sets.

ChatGPT:

carpet installers, Florida, stand-up maths, YouTube videos, correlation coefficient, Bureau of Labor Statistics, data analysis, societal factors, cultural factors, whimsical coincidences, unique relationships

*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 carpet installers in Florida
Detailed data title: BLS estimate of carpet installers in Florida
Source: Bureau of Larbor Statistics
See what else correlates with The number of carpet installers in Florida

Average number of comments on Matt Parker's YouTube videos
Detailed data title: Average number of comments on Stand-up Maths YouTube videos.
Source: Stand-up Maths on YouTube
See what else correlates with Average number of comments on Matt Parker's YouTube videos

Correlation r = 0.9735799 (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 = 0.9478577 (Coefficient of determination)
This means 94.8% of the change in the one variable (i.e., Average number of comments on Matt Parker's YouTube videos) is predictable based on the change in the other (i.e., The number of carpet installers in Florida) over the 11 years from 2011 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 4.5E-7. 0.0000004462849614039123700000
The p-value is a measure of how probable it is that we would randomly find a result this extreme. More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.

But I am a p-villain. I absolutely did not test only one pair of variables one time. I correlated hundreds of millions of pairs of variables. I threw boatloads of data into an industrial-sized blender to find this correlation.

Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.97 in 4.5E-5% of random cases. Said differently, if you correlated 2,240,721 random variables You don't actually need 2 million 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 10 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 10 because we have two variables measured over a period of 11 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.

[ 0.9, 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.
20112012201320142015201620172018201920202021
The number of carpet installers in Florida (Carpet Installers)67089071089071097088080092012401260
Average number of comments on Matt Parker's YouTube videos (Average Comments)290760.667225.3331269.5458.21821.24923.7760946.96630523263.36




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. Confounding variable: 2020 is particularly different from the other years on this graph. Confounding variables (like global pandemics) will cause two variables to look connected when in fact a "sneaky third" variable is influencing both of them behind the scenes.
  5. 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([670,890,710,890,710,970,880,800,920,1240,1260,])
array_2 = np.array([290,760.667,225.333,1269.5,458.2,1821.24,923.7,760,946.966,3052,3263.36,])
array_1_name = "The number of carpet installers in Florida"
array_2_name = "Average number of comments on Matt Parker's 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: 4641 · Black Variable ID: 6605 · Red Variable ID: 25796
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