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Spurious correlation #1,960 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Hydopower energy generated in Uruguay and the second variable is Total Number of Gareth Bale's Club Football Matches.  The chart goes from 2006 to 2021, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

As the water rushed through the dams, it created a ripple effect, leading to a surge in electricity production. This power boost coincidentally revved up the virtual arenas where Gareth Bale's digital counterparts competed in extra matches. It seems the flow of hydropower had a dam good influence on the frequency of Bale's on-screen appearances, sparking a wave of game time action. So, in a shocking turn of events, it was all about finding the right current to amp up the game and keep Bale plugged into the action!

Model: dalle-3
Prompt: Generate an image that captures the essence of minimalism as it portrays a serene river flowing through green valleys in Uruguay. Show a sleek hydroelectric dam harnessing the power of the rushing water, with the tranquil scenery reflecting in the calm river. Along the riverbank, include a subtle scoreboard displaying the total number of Gareth Bale's club football matches, with each goal scored represented by a discreet mark. Keep the overall visual concise and focused on the natural beauty of the landscape and the integration of sustainable energy with the excitement of sports achievement. 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: Hydopower energy generated in Uruguay and Total Number of Gareth Bale's Club Football Matches. 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: Low poly Vaporwave Cubism Minimalism Psychedelic
ChatGPT: Minimalism

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 Hydopower energy generated in Uruguay and Total Number of Gareth Bale's Club Football Matches together. Keep the description simple.
ChatGPT: In Uruguay, a rushing river flows through green valleys, where a hydroelectric dam harnesses the powerful water to generate clean energy. On the riverbank, a scoreboard displays the total number of Gareth Bale's club football matches, with each goal scored representing a milestone in both energy production and the footballer's career.

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: [ Minimalism ] and depicting this scene: In Uruguay, a rushing river flows through green valleys, where a hydroelectric dam harnesses the powerful water to generate clean energy. On the riverbank, a scoreboard displays the total number of Gareth Bale's club football matches, with each goal scored representing a milestone in both energy production and the footballer's career. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image that captures the essence of minimalism as it portrays a serene river flowing through green valleys in Uruguay. Show a sleek hydroelectric dam harnessing the power of the rushing water, with the tranquil scenery reflecting in the calm river. Along the riverbank, include a subtle scoreboard displaying the total number of Gareth Bale's club football matches, with each goal scored represented by a discreet mark. Keep the overall visual concise and focused on the natural beauty of the landscape and the integration of sustainable energy with the excitement of sports achievement.

*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 Hydopower energy generated in Uruguay caused Total Number of Gareth Bale's Club Football Matches to increase.

AI academic paper

(Because p < 0.01)
Kickin' it with Hydropower: The Bale and Flow of Uruguay's Energy and Football

The Journal of Renewable Energy and Sports Science

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

Please draft the title and abstract of an academic research paper presenting the findings of the connection between Hydopower energy generated in Uruguay and Total Number of Gareth Bale's Club Football Matches. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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

Your research team used data from Energy Information Administration and Wikipedia to assess this nagging question. You found a correlation coefficient of 0.7390653 and p < 0.01 for 2006 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]]
"Kickin' it with Hydropower: The Bale and Flow of Uruguay's Energy and Football"

[[ABSTRACT]]
As the demand for sustainable energy sources rises, the interplay between renewable energy and amusing correlations with sport figures becomes of increasing interest. In this study, we delve into the unlikely connection between hydroelectric power generation in Uruguay and the total number of Gareth Bale's club football matches. Utilizing data from the Energy Information Administration and Wikipedia, we aim to shed light on this quirky relationship and provide a refreshing perspective on the intersection of energy production and sports statistics.

The findings reveal a striking correlation coefficient of 0.7390653 and a p-value of less than 0.01 for the period spanning from 2006 to 2021. This unexpected connection opens the gate for jokes about "flowing energy" and "powerful plays" – you might say it's electrifying! So, get ready to tackle the intriguing link between hydroelectric output and the number of Gareth Bale's appearances on the football field.


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

Please make up the introduction section of an academic research paper presenting the findings of the connection between Hydopower energy generated in Uruguay and Total Number of Gareth Bale's Club Football Matches. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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]]
"Kickin' it with Hydropower: The Bale and Flow of Uruguay's Energy and Football"

[[ABSTRACT]]
As the demand for sustainable energy sources rises, the interplay between renewable energy and amusing correlations with sport figures becomes of increasing interest. In this study, we delve into the unlikely connection between hydroelectric power generation in Uruguay and the total number of Gareth Bale's club football matches. Utilizing data from the Energy Information Administration and Wikipedia, we aim to shed light on this quirky relationship and provide a refreshing perspective on the intersection of energy production and sports statistics.

The findings reveal a striking correlation coefficient of 0.7390653 and a p-value of less than 0.01 for the period spanning from 2006 to 2021. This unexpected connection opens the gate for jokes about "flowing energy" and "powerful plays" – you might say it's electrifying! So, get ready to tackle the intriguing link between hydroelectric output and the number of Gareth Bale's appearances on the football field.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

In light of the global drive towards sustainable energy, there has been a surge of interest in exploring unconventional correlations between renewable energy production and seemingly unrelated phenomena. One such peculiar connection that has emerged is the unexpected relationship between the hydropower energy generated in Uruguay and the total number of Gareth Bale's club football matches. This study aims to unravel this unanticipated connection and provide a lighthearted yet insightful analysis of this unusual association.

As we delve into the curious intersection of hydropower energy and the athletic pursuits of footballer Gareth Bale, one cannot help but chuckle at the thought of "flowing energy" and "powerful plays." It seems that in the world of statistics, puns may just be afoot! This unexpected correlation may seem like an own goal, but it opens up a fascinating field of inquiry into the interplay between two seemingly distinct domains.

The allure of this research lies in its off-the-field discovery of a significant correlation coefficient of 0.7390653 and a p-value of less than 0.01 over the period from 2006 to 2021. This strong statistical connection between Uruguay's hydropower output and Gareth Bale's on-field appearances certainly raises eyebrows and prompts a good-natured chuckle. It appears that in the game of data analysis, there are indeed some unexpected "twists and Bale's."

By shedding light on this quirky association, we hope to kick-start conversations about renewable energy in a way that engages and amuses. This study not only challenges conventional thinking but also serves as a timely reminder that even in the most serious of fields, there's always room for a good dad joke or two. So, without further ado, let's lace up our statistical boots and tackle this electrifying exploration of energy generation and football fervor.


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

Please make up a literature review section of an academic research paper presenting the findings of the connection between Hydopower energy generated in Uruguay and Total Number of Gareth Bale's Club Football Matches. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name some movies that you watched that are tangentially related to the topic.

Here is the title and abstract of the paper:
[[TITLE]]
"Kickin' it with Hydropower: The Bale and Flow of Uruguay's Energy and Football"

[[ABSTRACT]]
As the demand for sustainable energy sources rises, the interplay between renewable energy and amusing correlations with sport figures becomes of increasing interest. In this study, we delve into the unlikely connection between hydroelectric power generation in Uruguay and the total number of Gareth Bale's club football matches. Utilizing data from the Energy Information Administration and Wikipedia, we aim to shed light on this quirky relationship and provide a refreshing perspective on the intersection of energy production and sports statistics.

The findings reveal a striking correlation coefficient of 0.7390653 and a p-value of less than 0.01 for the period spanning from 2006 to 2021. This unexpected connection opens the gate for jokes about "flowing energy" and "powerful plays" – you might say it's electrifying! So, get ready to tackle the intriguing link between hydroelectric output and the number of Gareth Bale's appearances on the football field.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
In light of the global drive towards sustainable energy, there has been a surge of interest in exploring unconventional correlations between renewable energy production and seemingly unrelated phenomena. One such peculiar connection that has emerged is the unexpected relationship between the hydropower energy generated in Uruguay and the total number of Gareth Bale's club football matches. This study aims to unravel this unanticipated connection and provide a lighthearted yet insightful analysis of this unusual association.
As we delve into the curious intersection of hydropower energy and the athletic pursuits of footballer Gareth Bale, one cannot help but chuckle at the thought of "flowing energy" and "powerful plays." It seems that in the world of statistics, puns may just be afoot! This unexpected correlation may seem like an own goal, but it opens up a fascinating field of inquiry into the interplay between two seemingly distinct domains.
The allure of this research lies in its off-the-field discovery of a significant correlation coefficient of 0.7390653 and a p-value of less than 0.01 over the period from 2006 to 2021. This strong statistical connection between Uruguay's hydropower output and Gareth Bale's on-field appearances certainly raises eyebrows and prompts a good-natured chuckle. It appears that in the game of data analysis, there are indeed some unexpected "twists and Bale's."
By shedding light on this quirky association, we hope to kick-start conversations about renewable energy in a way that engages and amuses. This study not only challenges conventional thinking but also serves as a timely reminder that even in the most serious of fields, there's always room for a good dad joke or two. So, without further ado, let's lace up our statistical boots and tackle this electrifying exploration of energy generation and football fervor.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The connection between hydropower energy generation in Uruguay and the total number of Gareth Bale's club football matches has garnered a surprising amount of scholarly attention in recent years. Smith, in "The Journal of Unlikely Statistical Correlations," conducted a comprehensive analysis of energy production in Uruguay and its association with various sporting metrics, unveiling an unexpected relationship with the number of appearances made by the Welsh footballer Gareth Bale. Despite the initial disbelief at the correlation, further scrutiny reveals a statistically significant link, prompting a wave of amusement and disbelief in the academic community.

Speaking of waves, did you hear about the statistician who drowned in a river with an average depth of 3 feet? He neglected to account for the variance!

Doe and Johnson, in "Energetics and Athletic Anomalies Quarterly," further explore this quirky nexus by delving into the energetics of hydropower and its potential impact on the frequency of Bale's football matches. Their findings suggest a direct correlation between the ebb and flow of hydropower and the flux in Bale's game attendance. This unexpected synchronicity has left researchers and readers alike scratching their heads in wonderment, prompting discussions about the mysterious ways in which energy generation and athletic endeavors intertwine.

Moving into the world of non-fiction literature, Tess Thompson's "The Power of Flow: Harnessing Renewable Energy for a Sustainable Future" and David Jones's "Bale Out: The Remarkable Story of Gareth Bale's Football Career" provide essential background information on the concepts of energy flow and Bale's illustrious football journey. These texts offer a foundation for understanding the improbable connection between these two seemingly disparate domains.

The intersection of renewable energy and football also finds its way into the realm of fiction, with titles such as "The Energy Games" by Suzanne Collins and "A Song of Goals and Hydropower" by George R.R. Martin. While these works may not directly address the correlation at hand, they serve as a playful nod to the interdisciplinary nature of this research, reminding us that even in the most unexpected of contexts, connections can be forged.

On a related note, have you heard about the movie "Hydropower-ful Dreams"? It's a gripping tale of a footballer who becomes a renewable energy advocate, weaving together themes of athleticism and sustainable power sources. While not directly relevant to our study, it certainly adds a dash of Hollywood intrigue to our exploration of the curious bond between energy production and the beautiful game.


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

Please make up the methodology section of an academic research paper presenting the findings of the connection between Hydopower energy generated in Uruguay and Total Number of Gareth Bale's Club Football Matches. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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 Energy Information Administration and Wikipedia . You used data from 2006 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]]
"Kickin' it with Hydropower: The Bale and Flow of Uruguay's Energy and Football"

[[ABSTRACT]]
As the demand for sustainable energy sources rises, the interplay between renewable energy and amusing correlations with sport figures becomes of increasing interest. In this study, we delve into the unlikely connection between hydroelectric power generation in Uruguay and the total number of Gareth Bale's club football matches. Utilizing data from the Energy Information Administration and Wikipedia, we aim to shed light on this quirky relationship and provide a refreshing perspective on the intersection of energy production and sports statistics.

The findings reveal a striking correlation coefficient of 0.7390653 and a p-value of less than 0.01 for the period spanning from 2006 to 2021. This unexpected connection opens the gate for jokes about "flowing energy" and "powerful plays" – you might say it's electrifying! So, get ready to tackle the intriguing link between hydroelectric output and the number of Gareth Bale's appearances on the football field.

[[INTRODUCTION]]
In light of the global drive towards sustainable energy, there has been a surge of interest in exploring unconventional correlations between renewable energy production and seemingly unrelated phenomena. One such peculiar connection that has emerged is the unexpected relationship between the hydropower energy generated in Uruguay and the total number of Gareth Bale's club football matches. This study aims to unravel this unanticipated connection and provide a lighthearted yet insightful analysis of this unusual association.
As we delve into the curious intersection of hydropower energy and the athletic pursuits of footballer Gareth Bale, one cannot help but chuckle at the thought of "flowing energy" and "powerful plays." It seems that in the world of statistics, puns may just be afoot! This unexpected correlation may seem like an own goal, but it opens up a fascinating field of inquiry into the interplay between two seemingly distinct domains.
The allure of this research lies in its off-the-field discovery of a significant correlation coefficient of 0.7390653 and a p-value of less than 0.01 over the period from 2006 to 2021. This strong statistical connection between Uruguay's hydropower output and Gareth Bale's on-field appearances certainly raises eyebrows and prompts a good-natured chuckle. It appears that in the game of data analysis, there are indeed some unexpected "twists and Bale's."
By shedding light on this quirky association, we hope to kick-start conversations about renewable energy in a way that engages and amuses. This study not only challenges conventional thinking but also serves as a timely reminder that even in the most serious of fields, there's always room for a good dad joke or two. So, without further ado, let's lace up our statistical boots and tackle this electrifying exploration of energy generation and football fervor.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To investigate the peculiar correlation between the hydroelectric power generation in Uruguay and the total number of Gareth Bale's club football matches, a multi-faceted and comprehensive approach was deployed. The first step involved gathering extensive data from the Energy Information Administration (EIA) and Wikipedia, tapping into the depths of the internet to harness the necessary figures for our analysis. This eclectic data gathering process was not without its challenges – much like Bale's journey through the ranks of his football career. In the end, our team managed to score the necessary stats for a robust investigation.

Next, the collected data was meticulously cleansed and organized, much like the precision required for a perfect penalty kick. The meticulous data cleaning process involved sifting through various sources to ensure accuracy and reliability, as we aimed to avoid any own goals in our analysis. After this initial data refinement, our team embarked on an intricate dance of statistical methods, aiming to tease out any potential patterns or connections between hydropower energy generation and Gareth Bale's football appearances.

Utilizing R, a statistical programming language, we conducted a time-series analysis to capture the dynamic nature of the data over the 2006 to 2021 timeframe. This approach allowed us to unravel the ebb and flow of both Uruguay's hydropower output and Bale's club football matches, akin to the thrill of a close match reaching its climax in extra time.

Furthermore, we employed a variety of statistical techniques, including regression analysis and correlation tests, to scrutinize the relationship between the two seemingly unrelated variables. This process involved scrutinizing the data with meticulous care, much like the intense scrutiny a referee applies in a heated match. The statistical methods deployed sought to untangle the web of intertwining factors and determine the veracity of the correlation, illuminating the surprising connection between hydroelectric power generation and the sporting endeavours of Gareth Bale.

Additionally, to enhance the robustness of our findings and ensure the reliability of the observed relationship, we rigorously tested the statistical assumptions underpinning our analysis. This entailed scrutinizing the assumptions much like a controversial VAR review, ensuring that the conclusions drawn from our statistical tests were grounded in sound methodology and not subject to a red card from the statistical gods.

Finally, we submitted our analysis to a peer review process, inviting fellow researchers to challenge our findings and provide additional perspectives. This step, much like the tense moments preceding a penalty shootout, aimed to solidify the validity of our unusual correlation and demonstrate that even in the world of statistics and energy, there's always room for a bit of good-natured banter.

In this study, we sought to bring together the worlds of renewable energy and football statistics, demonstrating that even in the realm of academic research, there is no offside rule for a well-placed pun.


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

Please make up the results section of an academic research paper presenting the findings of the connection between Hydopower energy generated in Uruguay and Total Number of Gareth Bale's Club Football Matches. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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 Energy Information Administration and Wikipedia .

For the time period 2006 to 2021, you found a correlation 0.7390653, r-squared of 0.5462175, 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]]
"Kickin' it with Hydropower: The Bale and Flow of Uruguay's Energy and Football"

[[ABSTRACT]]
As the demand for sustainable energy sources rises, the interplay between renewable energy and amusing correlations with sport figures becomes of increasing interest. In this study, we delve into the unlikely connection between hydroelectric power generation in Uruguay and the total number of Gareth Bale's club football matches. Utilizing data from the Energy Information Administration and Wikipedia, we aim to shed light on this quirky relationship and provide a refreshing perspective on the intersection of energy production and sports statistics.

The findings reveal a striking correlation coefficient of 0.7390653 and a p-value of less than 0.01 for the period spanning from 2006 to 2021. This unexpected connection opens the gate for jokes about "flowing energy" and "powerful plays" – you might say it's electrifying! So, get ready to tackle the intriguing link between hydroelectric output and the number of Gareth Bale's appearances on the football field.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
In light of the global drive towards sustainable energy, there has been a surge of interest in exploring unconventional correlations between renewable energy production and seemingly unrelated phenomena. One such peculiar connection that has emerged is the unexpected relationship between the hydropower energy generated in Uruguay and the total number of Gareth Bale's club football matches. This study aims to unravel this unanticipated connection and provide a lighthearted yet insightful analysis of this unusual association.
As we delve into the curious intersection of hydropower energy and the athletic pursuits of footballer Gareth Bale, one cannot help but chuckle at the thought of "flowing energy" and "powerful plays." It seems that in the world of statistics, puns may just be afoot! This unexpected correlation may seem like an own goal, but it opens up a fascinating field of inquiry into the interplay between two seemingly distinct domains.
The allure of this research lies in its off-the-field discovery of a significant correlation coefficient of 0.7390653 and a p-value of less than 0.01 over the period from 2006 to 2021. This strong statistical connection between Uruguay's hydropower output and Gareth Bale's on-field appearances certainly raises eyebrows and prompts a good-natured chuckle. It appears that in the game of data analysis, there are indeed some unexpected "twists and Bale's."
By shedding light on this quirky association, we hope to kick-start conversations about renewable energy in a way that engages and amuses. This study not only challenges conventional thinking but also serves as a timely reminder that even in the most serious of fields, there's always room for a good dad joke or two. So, without further ado, let's lace up our statistical boots and tackle this electrifying exploration of energy generation and football fervor.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

Our analysis revealed a remarkably strong correlation of 0.7390653 between the hydropower energy generated in Uruguay and the total number of Gareth Bale's club football matches over the period of 2006 to 2021. This correlation demonstrates a keen association that, much like a beautifully executed assist on the field, defies conventional expectations and offers a fresh perspective on the interconnectedness of renewable energy and celebrity sports figures.

The calculated r-squared value of 0.5462175 further solidifies the robustness of this correlation, indicating that approximately 54.62% of the variability in Gareth Bale's club football matches can be explained by the hydropower energy produced in Uruguay. It's as if these variables are performing a perfectly choreographed goal celebration, leaving us in awe of their unexpected synchronicity.

The p-value of less than 0.01 emphasizes the statistical significance of this correlation, affirming that this observed relationship is not merely a chance occurrence. It's like spotting Gareth Bale at the opposing goal – a rare but impactful moment that demands our attention and admiration.

The scatterplot depicted in Fig. 1 visually encapsulates the strength of this correlation, highlighting the pronounced clustering of data points along a linear trend line. This visual representation further underscores the intriguing connection between these seemingly disparate domains, reminiscent of a perfectly executed free kick that defies expectations.

In conclusion, our findings support the notion of an unexpected yet compelling relationship between hydropower energy generation in Uruguay and the total number of Gareth Bale's club football matches. This unanticipated correlation not only adds a delightful twist to the discourse on renewable energy and sports statistics but also serves as a poignant reminder that sometimes, the most captivating discoveries come from the unlikeliest of pairings. It appears that in the world of statistical analysis, even the most unconventional associations can score a goal – or at least a good dad joke!


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

Please make up the discussion section of an academic research paper presenting the findings of the connection between Hydopower energy generated in Uruguay and Total Number of Gareth Bale's Club Football Matches. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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]]
"Kickin' it with Hydropower: The Bale and Flow of Uruguay's Energy and Football"

[[ABSTRACT]]
As the demand for sustainable energy sources rises, the interplay between renewable energy and amusing correlations with sport figures becomes of increasing interest. In this study, we delve into the unlikely connection between hydroelectric power generation in Uruguay and the total number of Gareth Bale's club football matches. Utilizing data from the Energy Information Administration and Wikipedia, we aim to shed light on this quirky relationship and provide a refreshing perspective on the intersection of energy production and sports statistics.

The findings reveal a striking correlation coefficient of 0.7390653 and a p-value of less than 0.01 for the period spanning from 2006 to 2021. This unexpected connection opens the gate for jokes about "flowing energy" and "powerful plays" – you might say it's electrifying! So, get ready to tackle the intriguing link between hydroelectric output and the number of Gareth Bale's appearances on the football field.

[[LITERATURE REVIEW]]
The connection between hydropower energy generation in Uruguay and the total number of Gareth Bale's club football matches has garnered a surprising amount of scholarly attention in recent years. Smith, in "The Journal of Unlikely Statistical Correlations," conducted a comprehensive analysis of energy production in Uruguay and its association with various sporting metrics, unveiling an unexpected relationship with the number of appearances made by the Welsh footballer Gareth Bale. Despite the initial disbelief at the correlation, further scrutiny reveals a statistically significant link, prompting a wave of amusement and disbelief in the academic community.
Speaking of waves, did you hear about the statistician who drowned in a river with an average depth of 3 feet? He neglected to account for the variance!
Doe and Johnson, in "Energetics and Athletic Anomalies Quarterly," further explore this quirky nexus by delving into the energetics of hydropower and its potential impact on the frequency of Bale's football matches. Their findings suggest a direct correlation between the ebb and flow of hydropower and the flux in Bale's game attendance. This unexpected synchronicity has left researchers and readers alike scratching their heads in wonderment, prompting discussions about the mysterious ways in which energy generation and athletic endeavors intertwine.
Moving into the world of non-fiction literature, Tess Thompson's "The Power of Flow: Harnessing Renewable Energy for a Sustainable Future" and David Jones's "Bale Out: The Remarkable Story of Gareth Bale's Football Career" provide essential background information on the concepts of energy flow and Bale's illustrious football journey. These texts offer a foundation for understanding the improbable connection between these two seemingly disparate domains.
The intersection of renewable energy and football also finds its way into the realm of fiction, with titles such as "The Energy Games" by Suzanne Collins and "A Song of Goals and Hydropower" by George R.R. Martin. While these works may not directly address the correlation at hand, they serve as a playful nod to the interdisciplinary nature of this research, reminding us that even in the most unexpected of contexts, connections can be forged.
On a related note, have you heard about the movie "Hydropower-ful Dreams"? It's a gripping tale of a footballer who becomes a renewable energy advocate, weaving together themes of athleticism and sustainable power sources. While not directly relevant to our study, it certainly adds a dash of Hollywood intrigue to our exploration of the curious bond between energy production and the beautiful game.

[[RESULTS]]
Our analysis revealed a remarkably strong correlation of 0.7390653 between the hydropower energy generated in Uruguay and the total number of Gareth Bale's club football matches over the period of 2006 to 2021. This correlation demonstrates a keen association that, much like a beautifully executed assist on the field, defies conventional expectations and offers a fresh perspective on the interconnectedness of renewable energy and celebrity sports figures.
The calculated r-squared value of 0.5462175 further solidifies the robustness of this correlation, indicating that approximately 54.62% of the variability in Gareth Bale's club football matches can be explained by the hydropower energy produced in Uruguay. It's as if these variables are performing a perfectly choreographed goal celebration, leaving us in awe of their unexpected synchronicity.
The p-value of less than 0.01 emphasizes the statistical significance of this correlation, affirming that this observed relationship is not merely a chance occurrence. It's like spotting Gareth Bale at the opposing goal – a rare but impactful moment that demands our attention and admiration.
The scatterplot depicted in Fig. 1 visually encapsulates the strength of this correlation, highlighting the pronounced clustering of data points along a linear trend line. This visual representation further underscores the intriguing connection between these seemingly disparate domains, reminiscent of a perfectly executed free kick that defies expectations.
In conclusion, our findings support the notion of an unexpected yet compelling relationship between hydropower energy generation in Uruguay and the total number of Gareth Bale's club football matches. This unanticipated correlation not only adds a delightful twist to the discourse on renewable energy and sports statistics but also serves as a poignant reminder that sometimes, the most captivating discoveries come from the unlikeliest of pairings. It appears that in the world of statistical analysis, even the most unconventional associations can score a goal – or at least a good dad joke!

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The results of our study provide compelling evidence in support of the previously highlighted quirky relationship between hydropower energy generation in Uruguay and the total number of Gareth Bale's club football matches. This unexpected correlation, much like a perfectly timed through ball, demonstrates a remarkable level of synchronicity between renewable energy production and a prominent sports figure.

Our findings align with the works of Smith and Doe and Johnson, shedding light on this amusing yet statistically significant association. While on the surface, this connection may seem as unlikely as a goalkeeper scoring a hat-trick, our analysis reveals a robust correlation coefficient of 0.7390653, affirming the veracity of this unanticipated interplay.

As we navigate through the rapids of statistical analysis, it's important to recognize that our results do not merely represent a fortuitous coincidence. The calculated p-value of less than 0.01 underscores the statistical significance of this connection, providing a solid foundation for further investigations into the energetics of hydropower and its resonance with the world of football. It's as significant as a player receiving a red card, demanding attention and recognition for its impact on the game.

The substantial r-squared value of 0.5462175 further cements the strength of this correlation, revealing that over 54.62% of the variation in Gareth Bale's club football matches can be attributed to the hydropower energy generated in Uruguay. This tangible relationship is as undeniable as a penalty kick, emphasizing the influence of renewable energy dynamics on the frequency of Bale's appearances on the football field.

Our study not only contributes to the burgeoning discourse on renewable energy but also injects a fun and unexpected dimension into the world of sports statistics. It's like seeing a player execute a cheeky back-heel pass in the midst of a tense match – surprising, entertaining, and a defining moment in the game.

In the spirit of good humor and puns, this correlation may indeed spark discussions about the "flow" of energy and the "power" of Bale's on-field performances. Just as a cleverly crafted dad joke brings a lighthearted moment to a serious conversation, this correlation imparts a refreshing and playful perspective on the intersection of energy production and sports metrics.

As we wrap up this discussion, it's worth acknowledging that while the bond between hydropower energy generation in Uruguay and Gareth Bale's club football matches may appear outlandish at first, it serves as a vivid reminder of the unexpected connections that await in the world of statistical analysis. In the words of renewable energy enthusiasts, let's continue to "harness the power of the flow" and navigate the unpredictable currents of data with grace and humor.


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

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Hydopower energy generated in Uruguay and Total Number of Gareth Bale's Club Football Matches. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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]]
"Kickin' it with Hydropower: The Bale and Flow of Uruguay's Energy and Football"

[[ABSTRACT]]
As the demand for sustainable energy sources rises, the interplay between renewable energy and amusing correlations with sport figures becomes of increasing interest. In this study, we delve into the unlikely connection between hydroelectric power generation in Uruguay and the total number of Gareth Bale's club football matches. Utilizing data from the Energy Information Administration and Wikipedia, we aim to shed light on this quirky relationship and provide a refreshing perspective on the intersection of energy production and sports statistics.

The findings reveal a striking correlation coefficient of 0.7390653 and a p-value of less than 0.01 for the period spanning from 2006 to 2021. This unexpected connection opens the gate for jokes about "flowing energy" and "powerful plays" – you might say it's electrifying! So, get ready to tackle the intriguing link between hydroelectric output and the number of Gareth Bale's appearances on the football field.

[[INTRDUCTION]]
In light of the global drive towards sustainable energy, there has been a surge of interest in exploring unconventional correlations between renewable energy production and seemingly unrelated phenomena. One such peculiar connection that has emerged is the unexpected relationship between the hydropower energy generated in Uruguay and the total number of Gareth Bale's club football matches. This study aims to unravel this unanticipated connection and provide a lighthearted yet insightful analysis of this unusual association.
As we delve into the curious intersection of hydropower energy and the athletic pursuits of footballer Gareth Bale, one cannot help but chuckle at the thought of "flowing energy" and "powerful plays." It seems that in the world of statistics, puns may just be afoot! This unexpected correlation may seem like an own goal, but it opens up a fascinating field of inquiry into the interplay between two seemingly distinct domains.
The allure of this research lies in its off-the-field discovery of a significant correlation coefficient of 0.7390653 and a p-value of less than 0.01 over the period from 2006 to 2021. This strong statistical connection between Uruguay's hydropower output and Gareth Bale's on-field appearances certainly raises eyebrows and prompts a good-natured chuckle. It appears that in the game of data analysis, there are indeed some unexpected "twists and Bale's."
By shedding light on this quirky association, we hope to kick-start conversations about renewable energy in a way that engages and amuses. This study not only challenges conventional thinking but also serves as a timely reminder that even in the most serious of fields, there's always room for a good dad joke or two. So, without further ado, let's lace up our statistical boots and tackle this electrifying exploration of energy generation and football fervor.

[[RESULTS]]
Our analysis revealed a remarkably strong correlation of 0.7390653 between the hydropower energy generated in Uruguay and the total number of Gareth Bale's club football matches over the period of 2006 to 2021. This correlation demonstrates a keen association that, much like a beautifully executed assist on the field, defies conventional expectations and offers a fresh perspective on the interconnectedness of renewable energy and celebrity sports figures.
The calculated r-squared value of 0.5462175 further solidifies the robustness of this correlation, indicating that approximately 54.62% of the variability in Gareth Bale's club football matches can be explained by the hydropower energy produced in Uruguay. It's as if these variables are performing a perfectly choreographed goal celebration, leaving us in awe of their unexpected synchronicity.
The p-value of less than 0.01 emphasizes the statistical significance of this correlation, affirming that this observed relationship is not merely a chance occurrence. It's like spotting Gareth Bale at the opposing goal – a rare but impactful moment that demands our attention and admiration.
The scatterplot depicted in Fig. 1 visually encapsulates the strength of this correlation, highlighting the pronounced clustering of data points along a linear trend line. This visual representation further underscores the intriguing connection between these seemingly disparate domains, reminiscent of a perfectly executed free kick that defies expectations.
In conclusion, our findings support the notion of an unexpected yet compelling relationship between hydropower energy generation in Uruguay and the total number of Gareth Bale's club football matches. This unanticipated correlation not only adds a delightful twist to the discourse on renewable energy and sports statistics but also serves as a poignant reminder that sometimes, the most captivating discoveries come from the unlikeliest of pairings. It appears that in the world of statistical analysis, even the most unconventional associations can score a goal – or at least a good dad joke!

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

Our investigation into the connection between hydropower energy generation in Uruguay and the total number of Gareth Bale's club football matches has yielded truly electrifying results. The striking correlation coefficient and statistically significant p-value highlight the unexpected synchronicity between these seemingly unrelated variables. It seems that when it comes to statistical analysis, there's no need to "Bale" out – the data speaks for itself!

Much like the unexpected twist in a thrilling match, this correlation challenges conventional thinking and emphasizes the unanticipated interplay between renewable energy production and the realm of celebrity sports. It's as if the statistical variables are executing a perfectly timed "Baleistic" shot that leaves us in awe of their coordination.

Our findings not only expand the conversation around renewable energy in a lighthearted manner but also serve as a reminder that in the serious pursuit of knowledge, there's always room for a well-placed pun or two. After all, a good dad joke can certainly "power" through even the most complex statistical analysis!

In light of the robustness of our results and the considerable amusement it has provided, we assert that no further research is needed in this area. It's safe to say that this investigation has kicked the proverbial ball out of the statistical park, leaving us with a newfound appreciation for the unexpected correlations that can emerge in the world of data analysis.


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 Kickin' it with Hydropower: The Bale and Flow of Uruguay's Energy and Football. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Renewable Energy and Sports Science


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 Kickin' it with Hydropower: The Bale and Flow of Uruguay's Energy and Football. Respond only with the name of a fictional organization.

ChatGPT:

The International Institute for HydroSoccer 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 Kickin' it with Hydropower: The Bale and Flow of Uruguay's Energy and Football with an abstract of As the demand for sustainable energy sources rises, the interplay between renewable energy and amusing correlations with sport figures becomes of increasing interest. In this study, we delve into the unlikely connection between hydroelectric power generation in Uruguay and the total number of Gareth Bale's club football matches. Utilizing data from the Energy Information Administration and Wikipedia, we aim to shed light on this quirky relationship and provide a refreshing perspective on the intersection of energy production and sports statistics.
The findings reveal a striking correlation coefficient of 0.7390653 and a p-value of less than 0.01 for the period spanning from 2006 to 2021. This unexpected connection opens the gate for jokes about "flowing energy" and "powerful plays" – you might say it's electrifying! So, get ready to tackle the intriguing link between hydroelectric output and the number of Gareth Bale's appearances on the football field.

ChatGPT:

Uruguay, hydropower, renewable energy, hydroelectric power generation, Gareth Bale, football matches, sport statistics, correlation coefficient, p-value, Energy Information Administration, Wikipedia, Uruguay energy production, hydroelectric output, sustainable energy sources

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



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Data details

Hydopower energy generated in Uruguay
Detailed data title: Total hydopower energy generated in Uruguay in billion kWh
Source: Energy Information Administration
See what else correlates with Hydopower energy generated in Uruguay

Total Number of Gareth Bale's Club Football Matches
Source: Wikipedia
See what else correlates with Total Number of Gareth Bale's Club Football Matches

Correlation r = 0.7390653 (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 = 0.5462175 (Coefficient of determination)
This means 54.6% of the change in the one variable (i.e., Total Number of Gareth Bale's Club Football Matches) is predictable based on the change in the other (i.e., Hydopower energy generated in Uruguay) over the 16 years from 2006 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.00107. 0.0010714242619380187000000000
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 0.74 in 0.107% of random cases. Said differently, if you correlated 933 random variables Which I absolutely did.
with the same 15 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 15 because we have two variables measured over a period of 16 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.

[ 0.38, 0.9 ] 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.
2006200720082009201020112012201320142015201620172018201920202021
Hydopower energy generated in Uruguay (Billion kWh)3.567.9884.4555.2078.5796.4145.3678.1249.5538.1837.7647.4436.4918.108284.093945.2728
Total Number of Gareth Bale's Club Football Matches (Matches)2431230344142444448312739422034




Why this works

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




Try it yourself

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

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

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

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

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

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

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

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

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


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

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

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

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

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([3.56,7.988,4.455,5.207,8.579,6.414,5.367,8.124,9.553,8.183,7.764,7.443,6.491,8.10828,4.09394,5.2728,])
array_2 = np.array([2,43,12,30,34,41,42,44,44,48,31,27,39,42,20,34,])
array_1_name = "Hydopower energy generated in Uruguay"
array_2_name = "Total Number of Gareth Bale's Club Football Matches"

# 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: 1960 · Black Variable ID: 24083 · Red Variable ID: 357
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