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Spurious correlation #5,627 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Popularity of the first name Irving and the second variable is Votes for Libertarian Senators in Alabama.  The chart goes from 1978 to 2002, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

When people heard the name Irving, they couldn't help but think of "I've been" as in "I've been taxed enough already!" This subconscious association sparked a wave of support for Libertarian candidates in Alabama, leading to an unexpected surge in votes. Remember, a name can be mightier than the sword... or the ballot!

Model: dalle-3
Prompt: Create an image of a bustling Alabama town square with a banner emblazoned with the name "Irving" being waved enthusiastically by a crowd. Capture the sudden surge in votes for Libertarian candidates at the nearby ballot box, as people excitedly chat about the "I've been taxed enough already" sentiment linked to the name Irving. Depict the unexpected popularity reflecting the power of a name to influence the voting choices. The image should capture the vibrant energy of the town square and the mix of excitement and curiosity among the crowd. The depiction should include only scenes, people, and objects, it should not include text or speech bubbles.
This image generation prompt was also generated by AI, using the following sequence:

Model: gpt-3.5-turbo-1106
System prompt: You select one of a few potential scene descriptors that seems to go along with the variables described. You respond only with the scene descriptions provided and say nothing else.
User prompt: Here are two variables: Popularity of the first name Irving and Votes for Libertarian Senators in Alabama. 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: Pop art Photorealism Brutalism A scene from Skyrim Charcoal
ChatGPT: A scene from Skyrim

Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both Popularity of the first name Irving and Votes for Libertarian Senators in Alabama, in the following situation: When people heard the name Irving, they couldn't help but think of "I've been" as in "I've been taxed enough already!" This subconscious association sparked a wave of support for Libertarian candidates in Alabama, leading to an unexpected surge in votes. Remember, a name can be mightier than the sword... or the ballot!. Keep the description simple.
ChatGPT: In a bustling Alabama town square, a banner with the name "Irving" is being waved enthusiastically by a crowd. The nearby ballot box shows a sudden surge in votes for Libertarian candidates, as people excitedly chat about the "I've been taxed enough already" sentiment linked to the name Irving. The unexpected popularity reflects the power of a name to influence the voting choices.

Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ A scene from Skyrim ] and depicting this scene: In a bustling Alabama town square, a banner with the name "Irving" is being waved enthusiastically by a crowd. The nearby ballot box shows a sudden surge in votes for Libertarian candidates, as people excitedly chat about the "I've been taxed enough already" sentiment linked to the name Irving. The unexpected popularity reflects the power of a name to influence the voting choices. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Create an image of a bustling Alabama town square with a banner emblazoned with the name "Irving" being waved enthusiastically by a crowd. Capture the sudden surge in votes for Libertarian candidates at the nearby ballot box, as people excitedly chat about the "I've been taxed enough already" sentiment linked to the name Irving. Depict the unexpected popularity reflecting the power of a name to influence the voting choices. The image should capture the vibrant energy of the town square and the mix of excitement and curiosity among the crowd.

*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 Popularity of the first name Irving caused Libertarian votes for Senators in Alabama to increase. Add a funny one-liner at the end.

AI academic paper

(Because p < 0.01)
Irving's Influence: A Popularity Poll on Libertarian Votes in Alabama

The Journal of Southern Political Science and Culture

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 Popularity of the first name Irving and Libertarian votes for Senators in Alabama. 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 US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse to assess this nagging question. You found a correlation coefficient of 0.9900687 and p < 0.01 for 1978 to 2002.

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]]
"Irving's Influence: A Popularity Poll on Libertarian Votes in Alabama"

[[ABSTRACT]]
In this study, we delve into the quirky realm of urban legends and political peculiarities as we explore the correlation between the popularity of the first name "Irving" and the libertarian votes for Senators in Alabama. Using a robust dataset from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we aimed to answer the burning question: Does the name "Irving" hold any sway over the voting trends in the political landscape of Alabama? Our findings reveal a staggering correlation coefficient of 0.9900687 and a significance level of p < 0.01 for the years spanning from 1978 to 2002, suggesting a surprisingly strong association between the two variables.

Dad Joke Break: "Why did the researcher bring a ladder to the library? Because he heard the votes were overstacked in favor of Irving!"

This study not only sheds light on the whimsical nature of naming conventions and their potential influence on political inclinations but also underscores the importance of considering unusual variables in electoral analysis. We invite readers to embark on this delightfully peculiar journey of uncovering the enigmatic relationship between the name "Irving" and libertarian votes in the heart of Alabama's political landscape.


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 Popularity of the first name Irving and Libertarian votes for Senators in Alabama. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Here is the title and abstract of the paper:
[[TITLE]]
"Irving's Influence: A Popularity Poll on Libertarian Votes in Alabama"

[[ABSTRACT]]
In this study, we delve into the quirky realm of urban legends and political peculiarities as we explore the correlation between the popularity of the first name "Irving" and the libertarian votes for Senators in Alabama. Using a robust dataset from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we aimed to answer the burning question: Does the name "Irving" hold any sway over the voting trends in the political landscape of Alabama? Our findings reveal a staggering correlation coefficient of 0.9900687 and a significance level of p < 0.01 for the years spanning from 1978 to 2002, suggesting a surprisingly strong association between the two variables.

Dad Joke Break: "Why did the researcher bring a ladder to the library? Because he heard the votes were overstacked in favor of Irving!"

This study not only sheds light on the whimsical nature of naming conventions and their potential influence on political inclinations but also underscores the importance of considering unusual variables in electoral analysis. We invite readers to embark on this delightfully peculiar journey of uncovering the enigmatic relationship between the name "Irving" and libertarian votes in the heart of Alabama's political landscape.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

The merging of seemingly incongruous variables has always been an intriguing pursuit in the realm of research. From the influence of breakfast cereal preferences on economic decision-making to the correlation between the length of a researcher's beard and the quality of their findings, the world of academia is rife with unexpected connections waiting to be uncovered.

Dad Joke Break: "Did you hear about the statistician who drank 10 espressos? He wanted to test the hypothesis that coffee makes you hyper. Turns out, it was an over-caffeinated correlation!"

In our latest investigation, we turn our attention to the delightful confluence of first names and political preferences. Alabama, known for its rich cultural heritage and colorful political spectrum, provides an ideal backdrop for our exploration. Specifically, we set our sights on the name "Irving" and its potential influence on libertarian votes for Senators, creating a blend of statistical analysis and whimsical curiosity.

Dad Joke Break: "Why did the economist bring a map to the statistics conference? He wanted to show how the data points were all over the graph!"

As we embark on this whimsical journey, we aim not only to unravel the peculiar relationship between a simple moniker and political ideologies but also to challenge the traditional boundaries of electoral analysis. By embracing the unorthodox and the quirky, we hope to carve a path toward a more comprehensive understanding of the multifaceted influences shaping the political landscape.

Dad Joke Break: "What did the physicist say to the disgruntled data point? 'You need to lighten up! You're dragging the whole graph down!'"


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 Popularity of the first name Irving and Libertarian votes for Senators in Alabama. 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 devolve ever further, and mention something completely ridiculous, like you conducted literature review by reading the backs of shampoo bottles.

Here is the title and abstract of the paper:
[[TITLE]]
"Irving's Influence: A Popularity Poll on Libertarian Votes in Alabama"

[[ABSTRACT]]
In this study, we delve into the quirky realm of urban legends and political peculiarities as we explore the correlation between the popularity of the first name "Irving" and the libertarian votes for Senators in Alabama. Using a robust dataset from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we aimed to answer the burning question: Does the name "Irving" hold any sway over the voting trends in the political landscape of Alabama? Our findings reveal a staggering correlation coefficient of 0.9900687 and a significance level of p < 0.01 for the years spanning from 1978 to 2002, suggesting a surprisingly strong association between the two variables.

Dad Joke Break: "Why did the researcher bring a ladder to the library? Because he heard the votes were overstacked in favor of Irving!"

This study not only sheds light on the whimsical nature of naming conventions and their potential influence on political inclinations but also underscores the importance of considering unusual variables in electoral analysis. We invite readers to embark on this delightfully peculiar journey of uncovering the enigmatic relationship between the name "Irving" and libertarian votes in the heart of Alabama's political landscape.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The merging of seemingly incongruous variables has always been an intriguing pursuit in the realm of research. From the influence of breakfast cereal preferences on economic decision-making to the correlation between the length of a researcher's beard and the quality of their findings, the world of academia is rife with unexpected connections waiting to be uncovered.
Dad Joke Break: "Did you hear about the statistician who drank 10 espressos? He wanted to test the hypothesis that coffee makes you hyper. Turns out, it was an over-caffeinated correlation!"
In our latest investigation, we turn our attention to the delightful confluence of first names and political preferences. Alabama, known for its rich cultural heritage and colorful political spectrum, provides an ideal backdrop for our exploration. Specifically, we set our sights on the name "Irving" and its potential influence on libertarian votes for Senators, creating a blend of statistical analysis and whimsical curiosity.
Dad Joke Break: "Why did the economist bring a map to the statistics conference? He wanted to show how the data points were all over the graph!"
As we embark on this whimsical journey, we aim not only to unravel the peculiar relationship between a simple moniker and political ideologies but also to challenge the traditional boundaries of electoral analysis. By embracing the unorthodox and the quirky, we hope to carve a path toward a more comprehensive understanding of the multifaceted influences shaping the political landscape.
Dad Joke Break: "What did the physicist say to the disgruntled data point? 'You need to lighten up! You're dragging the whole graph down!'"

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The existing literature on naming conventions and political behavior reveals a rich tapestry of studies exploring the influence of various factors on voting patterns. Smith et al. (2010) elucidate the impact of socioeconomic status on electoral choices, while Doe and Jones (2015) delve into the role of ideological affiliations in shaping voter preferences. These studies provide a foundation for understanding the intricate interplay between personal attributes and political decision-making.

Dad Joke Break: "Why did the statistician join a band? He wanted to analyze the music charts!"

In a similar vein, the works of "Freakonomics" by Steven D. Levitt and Stephen J. Dubner shed light on the unexpected correlations in everyday life, prompting readers to ponder the hidden influences at play. Additionally, the fictional realm offers intriguing narratives, such as "Name of the Wind" by Patrick Rothfuss, which hints at the enigmatic power associated with names. As we navigate this unconventional terrain, it becomes evident that the fusion of empirical data and creative storytelling can unearth startling revelations.

Dad Joke Break: "Did you hear about the economist who was also a magician? He could pull rabbits out of his hat and equations out of thin air!"

Beyond the confines of traditional scholarly works, our literature review extends to innovative sources, including the backs of shampoo bottles that provided both cleansing and philosophical insight. Upon careful scrutiny, the intricate formulations and tantalizing promises of silky smooth hair offered unexpected wisdom on the human psyche and, perhaps inadvertently, on the subtle influence of nomenclature on electoral behavior.

Dad Joke Break: "I told my wife she should embrace her mistakes. She gave me a hug. Then she said, 'I love you, Autocorrect!'"

The amalgamation of these diverse sources establishes a vibrant backdrop for our investigation, setting the stage for an exploration that transcends the conventional boundaries of academic inquiry. As we delve into the whimsical realm of naming and politics, we aim to mine the depths of this peculiar correlation and unearth the lighthearted nuances that shape the voting landscape in Alabama.


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 Popularity of the first name Irving and Libertarian votes for Senators in Alabama. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse . You used data from 1978 to 2002

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]]
"Irving's Influence: A Popularity Poll on Libertarian Votes in Alabama"

[[ABSTRACT]]
In this study, we delve into the quirky realm of urban legends and political peculiarities as we explore the correlation between the popularity of the first name "Irving" and the libertarian votes for Senators in Alabama. Using a robust dataset from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we aimed to answer the burning question: Does the name "Irving" hold any sway over the voting trends in the political landscape of Alabama? Our findings reveal a staggering correlation coefficient of 0.9900687 and a significance level of p < 0.01 for the years spanning from 1978 to 2002, suggesting a surprisingly strong association between the two variables.

Dad Joke Break: "Why did the researcher bring a ladder to the library? Because he heard the votes were overstacked in favor of Irving!"

This study not only sheds light on the whimsical nature of naming conventions and their potential influence on political inclinations but also underscores the importance of considering unusual variables in electoral analysis. We invite readers to embark on this delightfully peculiar journey of uncovering the enigmatic relationship between the name "Irving" and libertarian votes in the heart of Alabama's political landscape.

[[INTRODUCTION]]
The merging of seemingly incongruous variables has always been an intriguing pursuit in the realm of research. From the influence of breakfast cereal preferences on economic decision-making to the correlation between the length of a researcher's beard and the quality of their findings, the world of academia is rife with unexpected connections waiting to be uncovered.
Dad Joke Break: "Did you hear about the statistician who drank 10 espressos? He wanted to test the hypothesis that coffee makes you hyper. Turns out, it was an over-caffeinated correlation!"
In our latest investigation, we turn our attention to the delightful confluence of first names and political preferences. Alabama, known for its rich cultural heritage and colorful political spectrum, provides an ideal backdrop for our exploration. Specifically, we set our sights on the name "Irving" and its potential influence on libertarian votes for Senators, creating a blend of statistical analysis and whimsical curiosity.
Dad Joke Break: "Why did the economist bring a map to the statistics conference? He wanted to show how the data points were all over the graph!"
As we embark on this whimsical journey, we aim not only to unravel the peculiar relationship between a simple moniker and political ideologies but also to challenge the traditional boundaries of electoral analysis. By embracing the unorthodox and the quirky, we hope to carve a path toward a more comprehensive understanding of the multifaceted influences shaping the political landscape.
Dad Joke Break: "What did the physicist say to the disgruntled data point? 'You need to lighten up! You're dragging the whole graph down!'"

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To capture the essence of this enigmatic correlation between the popularity of the first name "Irving" and libertarian votes for Senators in Alabama, our research team embarked on a whimsical journey of data collection and analysis. The dataset was obtained from a fusion of reliable sources, primarily the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse. The time frame for data collection spanned from 1978 to 2002, allowing for a comprehensive exploration of long-term trends and patterns.

Dad Joke Break: "Why was the statistician always calm during an experiment? Because he knew how to stay grounded, unlike some data points!"

The initial step in our convoluted yet captivating methodology involved leveraging state-of-the-art algorithms and computational models to meticulously extract and organize the historical records of individuals bearing the name "Irving" and the corresponding libertarian votes for Senators in the state of Alabama. This process, akin to a carefully choreographed dance between technology and tradition, ensured the seamless integration of disparate datasets to facilitate meaningful analysis.

Dad Joke Break: "Why do scientists enjoy working with ammonia? Because it's quite a basic compound, but it can still make some reactions 'happen'!"

Following the harmonious melding of data sources, our intrepid team embarked on the exhilarating task of data cleansing and pre-processing. This involved untangling the web of idiosyncrasies, anomalies, and outliers within the dataset, akin to unlocking a cryptic puzzle of political preferences and nomenclatural nuances. Through painstaking scrutiny, we sieved through the data to ensure its purity and integrity, creating a solid foundation for subsequent analysis.

Dad Joke Break: "What do you call a fake noodle? An impasta! Just like an erroneous data point masquerading as the real deal!"

Once the data underwent a rigorous purification ritual, it was time to unleash the formidable power of statistical analysis upon our captivating dataset. Employing a fusion of regression models, causal inference techniques, and latent variable analyses, we sought to unravel the intricate web of associations and unearth the elusive link between the popularity of the name "Irving" and the libertarian votes cast in the hallways of Alabama's Senate.

Dad Joke Break: "How do researchers stay cool during statistical analyses? They make sure to have a 'significant' amount of ice cream handy for those 'correlation cones'!"

A crucial component of our methodological wizardry involved the employment of advanced statistical software, capable of weaving together complex threads of data and generating illuminating insights with the precision of a maestro conducting a scientific symphony. The orchestration of statistical tests and sensitivity analyses allowed us to triumphantly present the world with the captivating findings regarding the peculiar interplay between nomenclature and political predilections.

Dad Joke Break: "Why did the data point break up with the trend line? It just couldn't handle the regression anymore!"

In summary, our methodological escapade, despite its twists and turns, culminated in the illumination of a remarkable correlation between the popularity of the first name "Irving" and libertarian votes for Senators in Alabama. This, undoubtedly, underscores the whimsical influence of seemingly trivial variables on the colorful tapestry of political ideologies, inviting future researchers to delve deeper into the unexpected connections that permeate every facet of our intricate world.

Dad Joke Break: "What do you call a statistical hypothesis gone wrong? A 'rough estimate' that could use a statistical 'hug'!"




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 Popularity of the first name Irving and Libertarian votes for Senators in Alabama. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse .

For the time period 1978 to 2002, you found a correlation 0.9900687, r-squared of 0.9802361, 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]]
"Irving's Influence: A Popularity Poll on Libertarian Votes in Alabama"

[[ABSTRACT]]
In this study, we delve into the quirky realm of urban legends and political peculiarities as we explore the correlation between the popularity of the first name "Irving" and the libertarian votes for Senators in Alabama. Using a robust dataset from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we aimed to answer the burning question: Does the name "Irving" hold any sway over the voting trends in the political landscape of Alabama? Our findings reveal a staggering correlation coefficient of 0.9900687 and a significance level of p < 0.01 for the years spanning from 1978 to 2002, suggesting a surprisingly strong association between the two variables.

Dad Joke Break: "Why did the researcher bring a ladder to the library? Because he heard the votes were overstacked in favor of Irving!"

This study not only sheds light on the whimsical nature of naming conventions and their potential influence on political inclinations but also underscores the importance of considering unusual variables in electoral analysis. We invite readers to embark on this delightfully peculiar journey of uncovering the enigmatic relationship between the name "Irving" and libertarian votes in the heart of Alabama's political landscape.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The merging of seemingly incongruous variables has always been an intriguing pursuit in the realm of research. From the influence of breakfast cereal preferences on economic decision-making to the correlation between the length of a researcher's beard and the quality of their findings, the world of academia is rife with unexpected connections waiting to be uncovered.
Dad Joke Break: "Did you hear about the statistician who drank 10 espressos? He wanted to test the hypothesis that coffee makes you hyper. Turns out, it was an over-caffeinated correlation!"
In our latest investigation, we turn our attention to the delightful confluence of first names and political preferences. Alabama, known for its rich cultural heritage and colorful political spectrum, provides an ideal backdrop for our exploration. Specifically, we set our sights on the name "Irving" and its potential influence on libertarian votes for Senators, creating a blend of statistical analysis and whimsical curiosity.
Dad Joke Break: "Why did the economist bring a map to the statistics conference? He wanted to show how the data points were all over the graph!"
As we embark on this whimsical journey, we aim not only to unravel the peculiar relationship between a simple moniker and political ideologies but also to challenge the traditional boundaries of electoral analysis. By embracing the unorthodox and the quirky, we hope to carve a path toward a more comprehensive understanding of the multifaceted influences shaping the political landscape.
Dad Joke Break: "What did the physicist say to the disgruntled data point? 'You need to lighten up! You're dragging the whole graph down!'"

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

Our analysis of the data yielded compelling results that illuminate the unexpected influence of a name on political behavior. For the time period spanning from 1978 to 2002, we found a remarkably strong correlation between the popularity of the first name "Irving" and libertarian votes for Senators in Alabama, with a correlation coefficient of 0.9900687 and an r-squared value of 0.9802361. This striking statistical association indicates that there may be more to a name than meets the eye when it comes to shaping political preferences.

Dad Joke Break: "Why did the statistician take a ladder to the election? He wanted to climb up the polls and see if Irving was on top!"

Furthermore, our analysis revealed a significance level of p < 0.01, underscoring the robustness of the relationship between the frequency of the name "Irving" and the prevalence of libertarian votes. Such a strong statistical significance reinforces the notion that names, much like political ideologies, can leave an indelible mark on societal phenomena.

Figure 1, a scatterplot visually depicting the relationship between the popularity of the name "Irving" and libertarian votes for Senators in Alabama, succinctly encapsulates the compelling correlation we observed. The scatterplot provides a clear illustration of the tightly clustered data points, further emphasizing the strength and consistency of the association between these seemingly disparate variables.

In light of these findings, it is evident that the first name "Irving" may possess an intriguing capacity to influence the political landscape in Alabama—a notion that warrants further investigation and consideration in the broader discourse on electoral dynamics.

Dad Joke Break: "What did the data point say when it found out it was significant? 'I'm feeling pretty p-value-id!'"


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 Popularity of the first name Irving and Libertarian votes for Senators in Alabama. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Limit your response to 500 tokens.

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

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

[[TITLE]]
"Irving's Influence: A Popularity Poll on Libertarian Votes in Alabama"

[[ABSTRACT]]
In this study, we delve into the quirky realm of urban legends and political peculiarities as we explore the correlation between the popularity of the first name "Irving" and the libertarian votes for Senators in Alabama. Using a robust dataset from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we aimed to answer the burning question: Does the name "Irving" hold any sway over the voting trends in the political landscape of Alabama? Our findings reveal a staggering correlation coefficient of 0.9900687 and a significance level of p < 0.01 for the years spanning from 1978 to 2002, suggesting a surprisingly strong association between the two variables.

Dad Joke Break: "Why did the researcher bring a ladder to the library? Because he heard the votes were overstacked in favor of Irving!"

This study not only sheds light on the whimsical nature of naming conventions and their potential influence on political inclinations but also underscores the importance of considering unusual variables in electoral analysis. We invite readers to embark on this delightfully peculiar journey of uncovering the enigmatic relationship between the name "Irving" and libertarian votes in the heart of Alabama's political landscape.

[[LITERATURE REVIEW]]
The existing literature on naming conventions and political behavior reveals a rich tapestry of studies exploring the influence of various factors on voting patterns. Smith et al. (2010) elucidate the impact of socioeconomic status on electoral choices, while Doe and Jones (2015) delve into the role of ideological affiliations in shaping voter preferences. These studies provide a foundation for understanding the intricate interplay between personal attributes and political decision-making.
Dad Joke Break: "Why did the statistician join a band? He wanted to analyze the music charts!"
In a similar vein, the works of "Freakonomics" by Steven D. Levitt and Stephen J. Dubner shed light on the unexpected correlations in everyday life, prompting readers to ponder the hidden influences at play. Additionally, the fictional realm offers intriguing narratives, such as "Name of the Wind" by Patrick Rothfuss, which hints at the enigmatic power associated with names. As we navigate this unconventional terrain, it becomes evident that the fusion of empirical data and creative storytelling can unearth startling revelations.
Dad Joke Break: "Did you hear about the economist who was also a magician? He could pull rabbits out of his hat and equations out of thin air!"
Beyond the confines of traditional scholarly works, our literature review extends to innovative sources, including the backs of shampoo bottles that provided both cleansing and philosophical insight. Upon careful scrutiny, the intricate formulations and tantalizing promises of silky smooth hair offered unexpected wisdom on the human psyche and, perhaps inadvertently, on the subtle influence of nomenclature on electoral behavior.
Dad Joke Break: "I told my wife she should embrace her mistakes. She gave me a hug. Then she said, 'I love you, Autocorrect!'"
The amalgamation of these diverse sources establishes a vibrant backdrop for our investigation, setting the stage for an exploration that transcends the conventional boundaries of academic inquiry. As we delve into the whimsical realm of naming and politics, we aim to mine the depths of this peculiar correlation and unearth the lighthearted nuances that shape the voting landscape in Alabama.

[[RESULTS]]
Our analysis of the data yielded compelling results that illuminate the unexpected influence of a name on political behavior. For the time period spanning from 1978 to 2002, we found a remarkably strong correlation between the popularity of the first name "Irving" and libertarian votes for Senators in Alabama, with a correlation coefficient of 0.9900687 and an r-squared value of 0.9802361. This striking statistical association indicates that there may be more to a name than meets the eye when it comes to shaping political preferences.
Dad Joke Break: "Why did the statistician take a ladder to the election? He wanted to climb up the polls and see if Irving was on top!"
Furthermore, our analysis revealed a significance level of p < 0.01, underscoring the robustness of the relationship between the frequency of the name "Irving" and the prevalence of libertarian votes. Such a strong statistical significance reinforces the notion that names, much like political ideologies, can leave an indelible mark on societal phenomena.
Figure 1, a scatterplot visually depicting the relationship between the popularity of the name "Irving" and libertarian votes for Senators in Alabama, succinctly encapsulates the compelling correlation we observed. The scatterplot provides a clear illustration of the tightly clustered data points, further emphasizing the strength and consistency of the association between these seemingly disparate variables.
In light of these findings, it is evident that the first name "Irving" may possess an intriguing capacity to influence the political landscape in Alabama—a notion that warrants further investigation and consideration in the broader discourse on electoral dynamics.
Dad Joke Break: "What did the data point say when it found out it was significant? 'I'm feeling pretty p-value-id!'"

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The results of our investigation have left us both spellbound and a little bemused. Our findings not only support the existing literature on the influence of personal attributes on political behavior but also lend credence to the notion that there may be a certain "Irresistible Irving Effect" at play in the political landscape of Alabama. It seems that the name "Irving" may carry with it an unexpected weight in shaping libertarian voting patterns in this region.

Our robust correlation coefficient of 0.9900687 and a significance level of p < 0.01 underscore the surprising strength of the relationship we uncovered. This correlation isn't just statistically significant; it's also undeniably pun-derful – or should we say "p-underful"!

The strong association we observed aligns with the lighthearted insights gleaned from the unusual literature we explored. From leveraging shampoo bottle wisdom to the whispers of storytelling in "Name of the Wind," we ventured into a world where the unexpected reigns supreme, much like the prominence of "Irving" in the realm of Alabama's political votes.

Figure 1, our scatterplot, beautifully encapsulates the tight-knit relationship between the frequency of the name "Irving" and libertarian votes, painting a clear picture of their affinity. It seems like "Irv" has truly made his mark in the voting polls, quite literally climbing up the ranks as the leading moniker in the political narrative.

As we navigate this offbeat territory and grapple with the implications of our findings, we are reminded of a timeless dad joke: "Why did the data point say when it found out it was significant? 'I'm feeling pretty p-value-id!'" In the spirit of that lighthearted jest, we are equally enthused about the significance of our results and eager to explore the intricate quirks of the "Irving" phenomenon in shaping voter preferences.

In the absence of a clear conclusion, we are left pondering the whims of fate and nomenclature, and we eagerly anticipate further research that delves deeper into the enigmatic world of name-based influence on political dynamics.


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 Popularity of the first name Irving and Libertarian votes for Senators in Alabama. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
"Irving's Influence: A Popularity Poll on Libertarian Votes in Alabama"

[[ABSTRACT]]
In this study, we delve into the quirky realm of urban legends and political peculiarities as we explore the correlation between the popularity of the first name "Irving" and the libertarian votes for Senators in Alabama. Using a robust dataset from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we aimed to answer the burning question: Does the name "Irving" hold any sway over the voting trends in the political landscape of Alabama? Our findings reveal a staggering correlation coefficient of 0.9900687 and a significance level of p < 0.01 for the years spanning from 1978 to 2002, suggesting a surprisingly strong association between the two variables.

Dad Joke Break: "Why did the researcher bring a ladder to the library? Because he heard the votes were overstacked in favor of Irving!"

This study not only sheds light on the whimsical nature of naming conventions and their potential influence on political inclinations but also underscores the importance of considering unusual variables in electoral analysis. We invite readers to embark on this delightfully peculiar journey of uncovering the enigmatic relationship between the name "Irving" and libertarian votes in the heart of Alabama's political landscape.

[[INTRDUCTION]]
The merging of seemingly incongruous variables has always been an intriguing pursuit in the realm of research. From the influence of breakfast cereal preferences on economic decision-making to the correlation between the length of a researcher's beard and the quality of their findings, the world of academia is rife with unexpected connections waiting to be uncovered.
Dad Joke Break: "Did you hear about the statistician who drank 10 espressos? He wanted to test the hypothesis that coffee makes you hyper. Turns out, it was an over-caffeinated correlation!"
In our latest investigation, we turn our attention to the delightful confluence of first names and political preferences. Alabama, known for its rich cultural heritage and colorful political spectrum, provides an ideal backdrop for our exploration. Specifically, we set our sights on the name "Irving" and its potential influence on libertarian votes for Senators, creating a blend of statistical analysis and whimsical curiosity.
Dad Joke Break: "Why did the economist bring a map to the statistics conference? He wanted to show how the data points were all over the graph!"
As we embark on this whimsical journey, we aim not only to unravel the peculiar relationship between a simple moniker and political ideologies but also to challenge the traditional boundaries of electoral analysis. By embracing the unorthodox and the quirky, we hope to carve a path toward a more comprehensive understanding of the multifaceted influences shaping the political landscape.
Dad Joke Break: "What did the physicist say to the disgruntled data point? 'You need to lighten up! You're dragging the whole graph down!'"

[[RESULTS]]
Our analysis of the data yielded compelling results that illuminate the unexpected influence of a name on political behavior. For the time period spanning from 1978 to 2002, we found a remarkably strong correlation between the popularity of the first name "Irving" and libertarian votes for Senators in Alabama, with a correlation coefficient of 0.9900687 and an r-squared value of 0.9802361. This striking statistical association indicates that there may be more to a name than meets the eye when it comes to shaping political preferences.
Dad Joke Break: "Why did the statistician take a ladder to the election? He wanted to climb up the polls and see if Irving was on top!"
Furthermore, our analysis revealed a significance level of p < 0.01, underscoring the robustness of the relationship between the frequency of the name "Irving" and the prevalence of libertarian votes. Such a strong statistical significance reinforces the notion that names, much like political ideologies, can leave an indelible mark on societal phenomena.
Figure 1, a scatterplot visually depicting the relationship between the popularity of the name "Irving" and libertarian votes for Senators in Alabama, succinctly encapsulates the compelling correlation we observed. The scatterplot provides a clear illustration of the tightly clustered data points, further emphasizing the strength and consistency of the association between these seemingly disparate variables.
In light of these findings, it is evident that the first name "Irving" may possess an intriguing capacity to influence the political landscape in Alabama—a notion that warrants further investigation and consideration in the broader discourse on electoral dynamics.
Dad Joke Break: "What did the data point say when it found out it was significant? 'I'm feeling pretty p-value-id!'"

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our exploration into the correlation between the popularity of the first name "Irving" and libertarian votes for Senators in Alabama has unearthed a delightfully unexpected connection. The statistically significant relationship between the frequency of the name "Irving" and the prevalence of libertarian votes not only adds a whimsical twist to traditional electoral analysis but also underscores the influence of seemingly unrelated variables on political behavior.

Dad Joke Break: "Why don't scientists trust atoms? Because they make up everything, even political preferences in Alabama!"

Our findings have illuminated the potential impact of a name on political inclinations, challenging conventional notions of what factors may sway electoral outcomes. The robust correlation coefficient and significance level underscore the need to consider a broader range of variables when examining political dynamics, reminding us that even the most seemingly whimsical elements can play a role in shaping voting tendencies.

Dad Joke Break: "I told my colleague a joke about regression analysis, but it didn't quite add up. He said the punchline was outlier-some!"

With such compelling results in hand, it is clear that no further research is needed in this area. Our work has not only expanded the boundaries of electoral analysis but also reignited the appreciation for the quirky and unexpected in academic exploration.

No more research is needed, folks! We've cracked the code on Irving's influence on libertarian votes in Alabama.


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 Irving's Influence: A Popularity Poll on Libertarian Votes in Alabama. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Southern Political Science and Culture


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 Irving's Influence: A Popularity Poll on Libertarian Votes in Alabama. Respond only with the name of a fictional organization.

ChatGPT:

The Consortium for Political Behavior Research


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 Irving's Influence: A Popularity Poll on Libertarian Votes in Alabama with an abstract of In this study, we delve into the quirky realm of urban legends and political peculiarities as we explore the correlation between the popularity of the first name "Irving" and the libertarian votes for Senators in Alabama. Using a robust dataset from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we aimed to answer the burning question: Does the name "Irving" hold any sway over the voting trends in the political landscape of Alabama? Our findings reveal a staggering correlation coefficient of 0.9900687 and a significance level of p < 0.01 for the years spanning from 1978 to 2002, suggesting a surprisingly strong association between the two variables.
Dad Joke Break: "Why did the researcher bring a ladder to the library? Because he heard the votes were overstacked in favor of Irving!"
This study not only sheds light on the whimsical nature of naming conventions and their potential influence on political inclinations but also underscores the importance of considering unusual variables in electoral analysis. We invite readers to embark on this delightfully peculiar journey of uncovering the enigmatic relationship between the name "Irving" and libertarian votes in the heart of Alabama's political landscape.

ChatGPT:

"Irving influence on political landscape Alabama," "popularity of the first name Irving in Alabama," "libertarian votes correlation Irving name," "electoral analysis naming conventions," "political voting trends Irving name correlation," "urban legends political peculiarities Alabama," "quirky realm political landscape Alabama," "unusual variables electoral analysis," "MIT Election Data and Science Lab," "Harvard Dataverse US Social Security Administration dataset," "naming conventions political inclinations."

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



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Data details

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

Votes for Libertarian Senators in Alabama
Detailed data title: Percentage of votes cast for Federal Libertarian Senate candidates in Alabama
Source: MIT Election Data and Science Lab, Harvard Dataverse
See what else correlates with Votes for Libertarian Senators in Alabama

Correlation r = 0.9900687 (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 = 0.9802361 (Coefficient of determination)
This means 98% of the change in the one variable (i.e., Votes for Libertarian Senators in Alabama) is predictable based on the change in the other (i.e., Popularity of the first name Irving) over the 6 years from 1978 through 2002.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.00015. 0.0001474548878115428600000000
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 0.99 in 0.015% of random cases. Said differently, if you correlated 6,782 random variables Which I absolutely did.
with the same 5 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 5 because we have two variables measured over a period of 6 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.

[ 0.91, 1 ] 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.
197819801984199219962002
Popularity of the first name Irving (Babies born)799174255152187
Votes for Libertarian Senators in Alabama (Percentage of votes)0.8229181.010060.8890532.016161.437251.49547




Why this works

  1. Data dredging: I have 25,237 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 636,906,169 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. Very low n: There are not many data points included in this analysis. Even if the p-value is high, we should be suspicious of using so few datapoints in a correlation.




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([79,91,74,255,152,187,])
array_2 = np.array([0.822918,1.01006,0.889053,2.01616,1.43725,1.49547,])
array_1_name = "Popularity of the first name Irving"
array_2_name = "Votes for Libertarian Senators in Alabama"

# 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: 5627 · Black Variable ID: 4019 · Red Variable ID: 26343
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