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Spurious correlation #2,820 · 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 Theodore and the second variable is DTE Energy Company's stock price (DTE).  The chart goes from 2002 to 2022, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

As the number of children named Theodore rose, so did the demand for teddy bears, leading to an unexpected surge in electricity usage for their production, thus boosting DTE Energy Company's stock price. Remember, the power of a name can truly light up the stock market!

Model: dalle-3
Prompt: In a dreamy, neon-lit cityscape, a group of stylishly dressed children named Theodore march confidently to school, radiating a futuristic aura. The city skyline glows with neon lights and holographic billboards, reflecting their youthful energy and passion for innovation. Behind them, a towering stock chart of DTE Energy Company's stock price surges skyward, intertwining with shimmering digital code and symbols of technological advancement. The scene encapsulates a sense of optimism and forward-thinking, underscored by the power and intelligence associated with the name "Theodore." 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 Theodore and DTE Energy Company's stock price (DTE). 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: Steampunk Data cyber art Hyper-realistic a funny image macro Vaporwave
ChatGPT: Vaporwave

Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both Popularity of the first name Theodore and DTE Energy Company's stock price (DTE), in the following situation: Because as the popularity of the first name Theodore increases, more parents are inspired by the name's association with strong leadership and intelligence. This leads to an influx of children named Theodore, who are encouraged to excel in their studies. Consequently, a higher number of these future stock market investors pursue STEM fields, leading to a surge in technological innovation and ultimately benefiting companies like DTE Energy. This increase in intellectual capital and innovation causes greater investor confidence, resulting in a rise in DTE's stock price.. Keep the description simple.
ChatGPT: In a bustling city, a group of cheerful children, named Theodore, are seen confidently walking to school, inspired by the strong leadership and intelligence associated with their name. In the background, a soaring stock chart of DTE Energy Company's stock price reflects the surge in technological innovation driven by these bright young minds, leading to a rise in investor confidence and benefiting DTE.

Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ Vaporwave ] and depicting this scene: In a bustling city, a group of cheerful children, named Theodore, are seen confidently walking to school, inspired by the strong leadership and intelligence associated with their name. In the background, a soaring stock chart of DTE Energy Company's stock price reflects the surge in technological innovation driven by these bright young minds, leading to a rise in investor confidence and benefiting DTE. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: In a dreamy, neon-lit cityscape, a group of stylishly dressed children named Theodore march confidently to school, radiating a futuristic aura. The city skyline glows with neon lights and holographic billboards, reflecting their youthful energy and passion for innovation. Behind them, a towering stock chart of DTE Energy Company's stock price surges skyward, intertwining with shimmering digital code and symbols of technological advancement. The scene encapsulates a sense of optimism and forward-thinking, underscored by the power and intelligence associated with the name "Theodore."

*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 Theodore caused DTE Energy Company's stock price (DTE) to increase. Add a funny one-liner at the end.

AI academic paper

(Because p < 0.01)
Shocking Stock Trends: A Electrifying Link Between Theodore's Popularity and DTE Energy Company's Stock Price

The Journal of Whimsical Economics

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 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 Theodore and DTE Energy Company's stock price (DTE). Make lots of jokes, goofy observations, and puns.

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

Your research team used data from US Social Security Administration and LSEG Analytics (Refinitiv) to assess this nagging question. You found a correlation coefficient of 0.9884162 and p < 0.01 for 2002 to 2022.

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

[[TITLE]]
Lorem ipsum dolor sit

[[ABSTRACT]]
Lorem ipsum dolor sit



ChatGPT:
[[TITLE]]
"Shocking Stock Trends: A Electrifying Link Between Theodore's Popularity and DTE Energy Company's Stock Price"

[[ABSTRACT]]
In this paper, we electrify the academic community by uncovering a shocking correlation between the popularity of the first name Theodore and the stock price of DTE Energy Company. Using data from the US Social Security Administration and LSEG Analytics (Refinitiv), we meticulously analyzed the trends from 2002 to 2022. The results left us feeling positively charged, as we discovered a striking correlation coefficient of 0.9884162 and a significant p-value of less than 0.01. This research sheds light on a previously overlooked connection and sparks a new area of inquiry in the intersection of name popularity and stock price movements. Our findings are definitely "electrifying," and we invite the academic community to join us in illuminating further insights through future research.


Model: gpt-3.5-turbo-1106
System prompt: You are a 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 Theodore and DTE Energy Company's stock price (DTE). Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Here is the title and abstract of the paper:
[[TITLE]]
"Shocking Stock Trends: A Electrifying Link Between Theodore's Popularity and DTE Energy Company's Stock Price"

[[ABSTRACT]]
In this paper, we electrify the academic community by uncovering a shocking correlation between the popularity of the first name Theodore and the stock price of DTE Energy Company. Using data from the US Social Security Administration and LSEG Analytics (Refinitiv), we meticulously analyzed the trends from 2002 to 2022. The results left us feeling positively charged, as we discovered a striking correlation coefficient of 0.9884162 and a significant p-value of less than 0.01. This research sheds light on a previously overlooked connection and sparks a new area of inquiry in the intersection of name popularity and stock price movements. Our findings are definitely "electrifying," and we invite the academic community to join us in illuminating further insights through future research.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

As the Age of Information continues to electrify our lives, the relationship between seemingly disparate phenomena comes to the forefront. In this paper, we delve into the electrifying connection between the popularity of the first name Theodore and the stock price of DTE Energy Company. While some may initially dismiss such a correlation as mere coincidence, our findings provide a jolt to conventional thinking and shed light on an unexplored avenue in the world of finance and nomenclature.

The name "Theodore," stemming from the Greek words theos and doron meaning "gift of God," has enjoyed widespread adoption across different periods and cultures. From ancient philosophers to beloved cartoon characters, the name Theodore has left an indelible mark. On the other hand, DTE Energy Company, providing electricity and natural gas to millions of customers, has become a beacon of stability and energy in the market.

As we endeavor to unravel the mystery behind the shocking correlation between these two entities, we are reminded of a quote attributed to Nikola Tesla: "If you want to find the secrets of the universe, think in terms of energy, frequency, and vibration." Perhaps this quote applies in more ways than one, as our research aims to uncover the hidden energetic frequencies at play in the naming landscape and stock price movements.

While some may consider this research a mere parlor trick, our statistical analysis indicates otherwise. The data reveals a jaw-dropping correlation coefficient of 0.9884162 and a p-value lower than the current market volatility. As we cautiously interpret these results, we cannot help but convey our sense of astonishment at the striking alignment between the ebb and flow of name popularity and the undulating stock price of DTE Energy Company.

In the following sections, we will delve into the methodology employed, the data sources harnessed, and the implications of this groundbreaking correlation. Our findings are truly electrifying, and we hope that our fellow researchers will join us in this captivating journey to illuminate further insights in this unexpected intersection of nomenclature and finance.

Stay plugged in as we embark on this electrifying endeavor that may just flip the switch on the traditional understanding of stock price movements.


Model: gpt-3.5-turbo-1106
System prompt: You are a 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 Theodore and DTE Energy Company's stock price (DTE). Make lots of jokes, goofy observations, and puns.

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

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

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

Here is the title and abstract of the paper:
[[TITLE]]
"Shocking Stock Trends: A Electrifying Link Between Theodore's Popularity and DTE Energy Company's Stock Price"

[[ABSTRACT]]
In this paper, we electrify the academic community by uncovering a shocking correlation between the popularity of the first name Theodore and the stock price of DTE Energy Company. Using data from the US Social Security Administration and LSEG Analytics (Refinitiv), we meticulously analyzed the trends from 2002 to 2022. The results left us feeling positively charged, as we discovered a striking correlation coefficient of 0.9884162 and a significant p-value of less than 0.01. This research sheds light on a previously overlooked connection and sparks a new area of inquiry in the intersection of name popularity and stock price movements. Our findings are definitely "electrifying," and we invite the academic community to join us in illuminating further insights through future research.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
As the Age of Information continues to electrify our lives, the relationship between seemingly disparate phenomena comes to the forefront. In this paper, we delve into the electrifying connection between the popularity of the first name Theodore and the stock price of DTE Energy Company. While some may initially dismiss such a correlation as mere coincidence, our findings provide a jolt to conventional thinking and shed light on an unexplored avenue in the world of finance and nomenclature.
The name "Theodore," stemming from the Greek words theos and doron meaning "gift of God," has enjoyed widespread adoption across different periods and cultures. From ancient philosophers to beloved cartoon characters, the name Theodore has left an indelible mark. On the other hand, DTE Energy Company, providing electricity and natural gas to millions of customers, has become a beacon of stability and energy in the market.
As we endeavor to unravel the mystery behind the shocking correlation between these two entities, we are reminded of a quote attributed to Nikola Tesla: "If you want to find the secrets of the universe, think in terms of energy, frequency, and vibration." Perhaps this quote applies in more ways than one, as our research aims to uncover the hidden energetic frequencies at play in the naming landscape and stock price movements.
While some may consider this research a mere parlor trick, our statistical analysis indicates otherwise. The data reveals a jaw-dropping correlation coefficient of 0.9884162 and a p-value lower than the current market volatility. As we cautiously interpret these results, we cannot help but convey our sense of astonishment at the striking alignment between the ebb and flow of name popularity and the undulating stock price of DTE Energy Company.
In the following sections, we will delve into the methodology employed, the data sources harnessed, and the implications of this groundbreaking correlation. Our findings are truly electrifying, and we hope that our fellow researchers will join us in this captivating journey to illuminate further insights in this unexpected intersection of nomenclature and finance.
Stay plugged in as we embark on this electrifying endeavor that may just flip the switch on the traditional understanding of stock price movements.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

To comprehend the illuminating connection between the popularity of the first name Theodore and the stock price of DTE Energy Company, we set out to investigate existing scholarly works that may shed light on this enigmatic correlation. Our pursuit led us through a landscape of formidable literature, akin to navigating through a labyrinth of financial analyses and baby name trends. First, we delve into the esteemed scholarly works by Smith, Doe, and Jones, then venture into the depths of non-fiction and fiction works, and finally, we wade through whimsical sources that have an unexpected hint of relevance.

Smith et al. (2015) highlighted the impact of personal names on individual decision-making and argued that names could subconsciously influence financial choices. Meanwhile, Doe and Brown (2018) examined the psychological connotations associated with names, indicating that individuals with certain names might exhibit particular investment behaviors. It is fascinating to consider whether the name Theodore, evoking images of presidents and beloved cartoon characters, could indeed hold sway over the stock price of DTE Energy Company. And could this correlation be predicted by the stages of the moon, the tides, or the alignment of the planets? Alas, the answers remain tantalizingly out of reach.

Turning to the world of non-fiction, we pondered the insights offered by "Freakonomics" by Steven D. Levitt and Stephen J. Dubner. While this book may not directly touch upon the relationship between names and stock prices, it certainly encourages readers to question conventional wisdom and ponder unforeseen correlations – perhaps even the potential impact of certain names on economic systems. On a lighter note, "The Name of the Wind" by Patrick Rothfuss and "The Power of One" by Bryce Courtenay, though seemingly unrelated to finance, stimulate the imagination and hint at the electrifying forces that might be at play in the mysterious realm of nomenclature and market trends. Who knows, maybe if one were to whisper the name Theodore to the wind, it might just whisper back the future stock price of DTE Energy Company.

Exploring even further afield, we couldn't help but recall the whimsical adventures of Theodore, the lovable chipmunk from the "Alvin and the Chipmunks" series, and the industrious Theodore Tugboat from the eponymous children's show. While these endearing characters may seem far removed from the world of finance, we can't help but wonder if their energetic personas are somehow connected to the waves of movement in DTE Energy Company's stock price. After all, who's to say that the giggles of children and the trading bell on Wall Street don't share some hidden frequency of hilarity?

As we immerse ourselves in this eclectic menagerie of literature and media, we remain committed to unraveling the captivating nexus between name popularity and market dynamics. Our journey may be electrifying, but we are not without a sense of humor – for in this enigmatic correlation, there just might lie the spark of whimsy that ignites new discoveries.



Model: gpt-3.5-turbo-1106
System prompt: You are a 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 Theodore and DTE Energy Company's stock price (DTE). Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from US Social Security Administration and LSEG Analytics (Refinitiv) . You used data from 2002 to 2022

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

Here is the title, abstract, and introduction of the paper:
[[TITLE]]
"Shocking Stock Trends: A Electrifying Link Between Theodore's Popularity and DTE Energy Company's Stock Price"

[[ABSTRACT]]
In this paper, we electrify the academic community by uncovering a shocking correlation between the popularity of the first name Theodore and the stock price of DTE Energy Company. Using data from the US Social Security Administration and LSEG Analytics (Refinitiv), we meticulously analyzed the trends from 2002 to 2022. The results left us feeling positively charged, as we discovered a striking correlation coefficient of 0.9884162 and a significant p-value of less than 0.01. This research sheds light on a previously overlooked connection and sparks a new area of inquiry in the intersection of name popularity and stock price movements. Our findings are definitely "electrifying," and we invite the academic community to join us in illuminating further insights through future research.

[[INTRODUCTION]]
As the Age of Information continues to electrify our lives, the relationship between seemingly disparate phenomena comes to the forefront. In this paper, we delve into the electrifying connection between the popularity of the first name Theodore and the stock price of DTE Energy Company. While some may initially dismiss such a correlation as mere coincidence, our findings provide a jolt to conventional thinking and shed light on an unexplored avenue in the world of finance and nomenclature.
The name "Theodore," stemming from the Greek words theos and doron meaning "gift of God," has enjoyed widespread adoption across different periods and cultures. From ancient philosophers to beloved cartoon characters, the name Theodore has left an indelible mark. On the other hand, DTE Energy Company, providing electricity and natural gas to millions of customers, has become a beacon of stability and energy in the market.
As we endeavor to unravel the mystery behind the shocking correlation between these two entities, we are reminded of a quote attributed to Nikola Tesla: "If you want to find the secrets of the universe, think in terms of energy, frequency, and vibration." Perhaps this quote applies in more ways than one, as our research aims to uncover the hidden energetic frequencies at play in the naming landscape and stock price movements.
While some may consider this research a mere parlor trick, our statistical analysis indicates otherwise. The data reveals a jaw-dropping correlation coefficient of 0.9884162 and a p-value lower than the current market volatility. As we cautiously interpret these results, we cannot help but convey our sense of astonishment at the striking alignment between the ebb and flow of name popularity and the undulating stock price of DTE Energy Company.
In the following sections, we will delve into the methodology employed, the data sources harnessed, and the implications of this groundbreaking correlation. Our findings are truly electrifying, and we hope that our fellow researchers will join us in this captivating journey to illuminate further insights in this unexpected intersection of nomenclature and finance.
Stay plugged in as we embark on this electrifying endeavor that may just flip the switch on the traditional understanding of stock price movements.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To illuminate the electrifying connection between the popularity of the first name Theodore and the stock price of DTE Energy Company, we employed a meticulously crafted methodology that would make even the most astute observer take notice.

First, we harnessed the power of data from the US Social Security Administration, which provided us with comprehensive information on the popularity of given names over time. Drawing from this treasure trove of information, we meticulously dissected the trends in the frequency of the name Theodore from 2002 to 2022. Our team carefully combed through the data, leaving no byte unturned in our quest to uncover any potential shocks or sparks that may correlate with DTE Energy Company's stock price movements.

In addition to our foray into the depths of the Social Security Administration data, we turned to LSEG Analytics (Refinitiv) to draw upon the stock price information of DTE Energy Company. Our team pored over stock price movements, analyzing the ebbs and flows with an electrical precision that would impress even the most seasoned trader.

To analyze the data, we employed a multifaceted approach that involved various statistical methods, including but not limited to regression analysis, time series modeling, and even a hint of astrological forecasting – just kidding, though we were certainly filled with energy and positivity throughout our analysis!

Our methodology involved relentless scrutiny of the data, assuring that our findings were grounded in verifiable evidence and not merely wishful sparks of imagination. Through this rigorous process, we unveiled a stunning correlation coefficient of 0.9884162 and a p-value that would make even the sharpest number crunchers raise an eyebrow.

In the spirit of full transparency and to stimulate further scholarly discussion, we documented our methodology in captivating detail, ensuring that our electrifying findings could be replicated and scrutinized by the academic community. Our approach may have been shocking to some, but we are confident that our methods have sparked a new energy in the pursuit of uncovering unexpected correlations in the realm of nomenclature and finance.

Stay tuned for the electrifying revelations as we unravel the detailed findings in the subsequent sections of this paper. Electrolytes not included!


Model: gpt-3.5-turbo-1106
System prompt: You are a 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 Theodore and DTE Energy Company's stock price (DTE). Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from US Social Security Administration and LSEG Analytics (Refinitiv) .

For the time period 2002 to 2022, you found a correlation 0.9884162, r-squared of 0.9769666, 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]]
"Shocking Stock Trends: A Electrifying Link Between Theodore's Popularity and DTE Energy Company's Stock Price"

[[ABSTRACT]]
In this paper, we electrify the academic community by uncovering a shocking correlation between the popularity of the first name Theodore and the stock price of DTE Energy Company. Using data from the US Social Security Administration and LSEG Analytics (Refinitiv), we meticulously analyzed the trends from 2002 to 2022. The results left us feeling positively charged, as we discovered a striking correlation coefficient of 0.9884162 and a significant p-value of less than 0.01. This research sheds light on a previously overlooked connection and sparks a new area of inquiry in the intersection of name popularity and stock price movements. Our findings are definitely "electrifying," and we invite the academic community to join us in illuminating further insights through future research.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
As the Age of Information continues to electrify our lives, the relationship between seemingly disparate phenomena comes to the forefront. In this paper, we delve into the electrifying connection between the popularity of the first name Theodore and the stock price of DTE Energy Company. While some may initially dismiss such a correlation as mere coincidence, our findings provide a jolt to conventional thinking and shed light on an unexplored avenue in the world of finance and nomenclature.
The name "Theodore," stemming from the Greek words theos and doron meaning "gift of God," has enjoyed widespread adoption across different periods and cultures. From ancient philosophers to beloved cartoon characters, the name Theodore has left an indelible mark. On the other hand, DTE Energy Company, providing electricity and natural gas to millions of customers, has become a beacon of stability and energy in the market.
As we endeavor to unravel the mystery behind the shocking correlation between these two entities, we are reminded of a quote attributed to Nikola Tesla: "If you want to find the secrets of the universe, think in terms of energy, frequency, and vibration." Perhaps this quote applies in more ways than one, as our research aims to uncover the hidden energetic frequencies at play in the naming landscape and stock price movements.
While some may consider this research a mere parlor trick, our statistical analysis indicates otherwise. The data reveals a jaw-dropping correlation coefficient of 0.9884162 and a p-value lower than the current market volatility. As we cautiously interpret these results, we cannot help but convey our sense of astonishment at the striking alignment between the ebb and flow of name popularity and the undulating stock price of DTE Energy Company.
In the following sections, we will delve into the methodology employed, the data sources harnessed, and the implications of this groundbreaking correlation. Our findings are truly electrifying, and we hope that our fellow researchers will join us in this captivating journey to illuminate further insights in this unexpected intersection of nomenclature and finance.
Stay plugged in as we embark on this electrifying endeavor that may just flip the switch on the traditional understanding of stock price movements.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

Our investigation into the connection between the popularity of the first name Theodore and the stock price of DTE Energy Company from 2002 to 2022 yielded shockingly enlightening results. The analysis of the data revealed a positively electrifying correlation coefficient of 0.9884162, indicating a remarkably strong relationship. The r-squared value of 0.9769666 further corroborated the robustness of this association, demonstrating that the popularity of the name Theodore is highly influential on the stock price of DTE.

In a plot twisting turn of events, the p-value of less than 0.01 left us feeling charged with excitement, as it highlights the statistical significance of this unexpected correlation. The statistical analysis unequivocally demonstrates that Theodore's popularity has a significant impact on DTE Energy Company's stock price, shocking even the most seasoned financial analysts. Fig. 1 visually captures this striking correlation, serving as a visual testament to the electrifying bond established between the two variables.

These results spark a new spark plug of inquiry into the intersection of naming trends and financial market movements. This discovery invites further exploration to illuminate the underlying mechanisms driving this connection. As we journey through this electrified terrain, our findings undoubtedly flip the switch on conventional wisdom, electrifying the academic community and igniting the pursuit of novel insights in this arena.

In our subsequent discussions, we will delve into the potential implications and practical applications of this dynamic relationship, shedding light on the unanticipated fusion of human nomenclature and economic fluctuations. As our research zaps the boundaries of traditional knowledge, we invite our esteemed colleagues to join us in this electrifying expedition, as we unravel and illuminate further dimensions of this captivating correlation.

Stay current, as this is just the beginning of an electrifying journey into the electrified intersection of names and stocks that will truly shock the conventional understanding of financial markets.


Model: gpt-3.5-turbo-1106
System prompt: You are a 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 Theodore and DTE Energy Company's stock price (DTE). Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Limit your response to 500 tokens.

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

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

[[TITLE]]
"Shocking Stock Trends: A Electrifying Link Between Theodore's Popularity and DTE Energy Company's Stock Price"

[[ABSTRACT]]
In this paper, we electrify the academic community by uncovering a shocking correlation between the popularity of the first name Theodore and the stock price of DTE Energy Company. Using data from the US Social Security Administration and LSEG Analytics (Refinitiv), we meticulously analyzed the trends from 2002 to 2022. The results left us feeling positively charged, as we discovered a striking correlation coefficient of 0.9884162 and a significant p-value of less than 0.01. This research sheds light on a previously overlooked connection and sparks a new area of inquiry in the intersection of name popularity and stock price movements. Our findings are definitely "electrifying," and we invite the academic community to join us in illuminating further insights through future research.

[[LITERATURE REVIEW]]
To comprehend the illuminating connection between the popularity of the first name Theodore and the stock price of DTE Energy Company, we set out to investigate existing scholarly works that may shed light on this enigmatic correlation. Our pursuit led us through a landscape of formidable literature, akin to navigating through a labyrinth of financial analyses and baby name trends. First, we delve into the esteemed scholarly works by Smith, Doe, and Jones, then venture into the depths of non-fiction and fiction works, and finally, we wade through whimsical sources that have an unexpected hint of relevance.
Smith et al. (2015) highlighted the impact of personal names on individual decision-making and argued that names could subconsciously influence financial choices. Meanwhile, Doe and Brown (2018) examined the psychological connotations associated with names, indicating that individuals with certain names might exhibit particular investment behaviors. It is fascinating to consider whether the name Theodore, evoking images of presidents and beloved cartoon characters, could indeed hold sway over the stock price of DTE Energy Company. And could this correlation be predicted by the stages of the moon, the tides, or the alignment of the planets? Alas, the answers remain tantalizingly out of reach.
Turning to the world of non-fiction, we pondered the insights offered by "Freakonomics" by Steven D. Levitt and Stephen J. Dubner. While this book may not directly touch upon the relationship between names and stock prices, it certainly encourages readers to question conventional wisdom and ponder unforeseen correlations – perhaps even the potential impact of certain names on economic systems. On a lighter note, "The Name of the Wind" by Patrick Rothfuss and "The Power of One" by Bryce Courtenay, though seemingly unrelated to finance, stimulate the imagination and hint at the electrifying forces that might be at play in the mysterious realm of nomenclature and market trends. Who knows, maybe if one were to whisper the name Theodore to the wind, it might just whisper back the future stock price of DTE Energy Company.
Exploring even further afield, we couldn't help but recall the whimsical adventures of Theodore, the lovable chipmunk from the "Alvin and the Chipmunks" series, and the industrious Theodore Tugboat from the eponymous children's show. While these endearing characters may seem far removed from the world of finance, we can't help but wonder if their energetic personas are somehow connected to the waves of movement in DTE Energy Company's stock price. After all, who's to say that the giggles of children and the trading bell on Wall Street don't share some hidden frequency of hilarity?
As we immerse ourselves in this eclectic menagerie of literature and media, we remain committed to unraveling the captivating nexus between name popularity and market dynamics. Our journey may be electrifying, but we are not without a sense of humor – for in this enigmatic correlation, there just might lie the spark of whimsy that ignites new discoveries.


[[RESULTS]]
Our investigation into the connection between the popularity of the first name Theodore and the stock price of DTE Energy Company from 2002 to 2022 yielded shockingly enlightening results. The analysis of the data revealed a positively electrifying correlation coefficient of 0.9884162, indicating a remarkably strong relationship. The r-squared value of 0.9769666 further corroborated the robustness of this association, demonstrating that the popularity of the name Theodore is highly influential on the stock price of DTE.
In a plot twisting turn of events, the p-value of less than 0.01 left us feeling charged with excitement, as it highlights the statistical significance of this unexpected correlation. The statistical analysis unequivocally demonstrates that Theodore's popularity has a significant impact on DTE Energy Company's stock price, shocking even the most seasoned financial analysts. Fig. 1 visually captures this striking correlation, serving as a visual testament to the electrifying bond established between the two variables.
These results spark a new spark plug of inquiry into the intersection of naming trends and financial market movements. This discovery invites further exploration to illuminate the underlying mechanisms driving this connection. As we journey through this electrified terrain, our findings undoubtedly flip the switch on conventional wisdom, electrifying the academic community and igniting the pursuit of novel insights in this arena.
In our subsequent discussions, we will delve into the potential implications and practical applications of this dynamic relationship, shedding light on the unanticipated fusion of human nomenclature and economic fluctuations. As our research zaps the boundaries of traditional knowledge, we invite our esteemed colleagues to join us in this electrifying expedition, as we unravel and illuminate further dimensions of this captivating correlation.
Stay current, as this is just the beginning of an electrifying journey into the electrified intersection of names and stocks that will truly shock the conventional understanding of financial markets.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

Our research has sparked a positively electrifying discussion in the intersection of baby names and stock prices. The unprecedented correlation coefficient of 0.9884162 and the eye-popping p-value of less than 0.01 unequivocally electrify the financial landscape. These findings not only support but also supercharge the burgeoning literature on the influence of names on economic phenomena.

Smith et al. (2015) and Doe and Brown (2018) raised the electrifying possibility that names could subconsciously influence financial choices and investment behaviors. Our results shockingly authenticate these claims, suggesting that the name Theodore may indeed wield an unexpected influence over stock prices. It appears that the whimsical sources we waded through in our literature review were onto something after all. Could it be that the alignment of the planets, suggested in jest, held a spark of truth? Our findings suggest that it might just be the case!

As we immerse ourselves further into the electrifying nexus of nomenclature and market dynamics, our findings not only corroborate but also electrify the need for deeper inquiry into the underlying mechanisms driving this connection. The unexpected fusion of human nomenclature and economic fluctuations now stands as an enlightening area of study, shocking the conventional understanding of financial markets. It seems that our whimsical literature review was not so whimsical after all – maybe the giggles of children and the trading bell on Wall Street do indeed share a hidden frequency of hilarity!

Our research ignites new sparks of inquiry and zaps the boundaries of traditional knowledge, inviting the academic community to embark on this positively electrifying expedition. As our findings illuminate further dimensions of this captivating correlation, we dare to stay current and embrace the shocking potential implications of this dynamic relationship. Stay tuned, for this is just the beginning of an electrifying journey into a tantalizingly shocking intersection of names and stocks!


Model: gpt-3.5-turbo-1106
System prompt: You are a 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 Theodore and DTE Energy Company's stock price (DTE). Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
"Shocking Stock Trends: A Electrifying Link Between Theodore's Popularity and DTE Energy Company's Stock Price"

[[ABSTRACT]]
In this paper, we electrify the academic community by uncovering a shocking correlation between the popularity of the first name Theodore and the stock price of DTE Energy Company. Using data from the US Social Security Administration and LSEG Analytics (Refinitiv), we meticulously analyzed the trends from 2002 to 2022. The results left us feeling positively charged, as we discovered a striking correlation coefficient of 0.9884162 and a significant p-value of less than 0.01. This research sheds light on a previously overlooked connection and sparks a new area of inquiry in the intersection of name popularity and stock price movements. Our findings are definitely "electrifying," and we invite the academic community to join us in illuminating further insights through future research.

[[INTRDUCTION]]
As the Age of Information continues to electrify our lives, the relationship between seemingly disparate phenomena comes to the forefront. In this paper, we delve into the electrifying connection between the popularity of the first name Theodore and the stock price of DTE Energy Company. While some may initially dismiss such a correlation as mere coincidence, our findings provide a jolt to conventional thinking and shed light on an unexplored avenue in the world of finance and nomenclature.
The name "Theodore," stemming from the Greek words theos and doron meaning "gift of God," has enjoyed widespread adoption across different periods and cultures. From ancient philosophers to beloved cartoon characters, the name Theodore has left an indelible mark. On the other hand, DTE Energy Company, providing electricity and natural gas to millions of customers, has become a beacon of stability and energy in the market.
As we endeavor to unravel the mystery behind the shocking correlation between these two entities, we are reminded of a quote attributed to Nikola Tesla: "If you want to find the secrets of the universe, think in terms of energy, frequency, and vibration." Perhaps this quote applies in more ways than one, as our research aims to uncover the hidden energetic frequencies at play in the naming landscape and stock price movements.
While some may consider this research a mere parlor trick, our statistical analysis indicates otherwise. The data reveals a jaw-dropping correlation coefficient of 0.9884162 and a p-value lower than the current market volatility. As we cautiously interpret these results, we cannot help but convey our sense of astonishment at the striking alignment between the ebb and flow of name popularity and the undulating stock price of DTE Energy Company.
In the following sections, we will delve into the methodology employed, the data sources harnessed, and the implications of this groundbreaking correlation. Our findings are truly electrifying, and we hope that our fellow researchers will join us in this captivating journey to illuminate further insights in this unexpected intersection of nomenclature and finance.
Stay plugged in as we embark on this electrifying endeavor that may just flip the switch on the traditional understanding of stock price movements.

[[RESULTS]]
Our investigation into the connection between the popularity of the first name Theodore and the stock price of DTE Energy Company from 2002 to 2022 yielded shockingly enlightening results. The analysis of the data revealed a positively electrifying correlation coefficient of 0.9884162, indicating a remarkably strong relationship. The r-squared value of 0.9769666 further corroborated the robustness of this association, demonstrating that the popularity of the name Theodore is highly influential on the stock price of DTE.
In a plot twisting turn of events, the p-value of less than 0.01 left us feeling charged with excitement, as it highlights the statistical significance of this unexpected correlation. The statistical analysis unequivocally demonstrates that Theodore's popularity has a significant impact on DTE Energy Company's stock price, shocking even the most seasoned financial analysts. Fig. 1 visually captures this striking correlation, serving as a visual testament to the electrifying bond established between the two variables.
These results spark a new spark plug of inquiry into the intersection of naming trends and financial market movements. This discovery invites further exploration to illuminate the underlying mechanisms driving this connection. As we journey through this electrified terrain, our findings undoubtedly flip the switch on conventional wisdom, electrifying the academic community and igniting the pursuit of novel insights in this arena.
In our subsequent discussions, we will delve into the potential implications and practical applications of this dynamic relationship, shedding light on the unanticipated fusion of human nomenclature and economic fluctuations. As our research zaps the boundaries of traditional knowledge, we invite our esteemed colleagues to join us in this electrifying expedition, as we unravel and illuminate further dimensions of this captivating correlation.
Stay current, as this is just the beginning of an electrifying journey into the electrified intersection of names and stocks that will truly shock the conventional understanding of financial markets.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our research has electrified the field of finance and nomenclature by uncovering a shockingly robust correlation between the popularity of the first name Theodore and the stock price of DTE Energy Company. The positively charged correlation coefficient of 0.9884162 and a p-value lower than a defective lightbulb underscore the significance of this connection, shocking even the most seasoned analysts. Our findings indicate that the name Theodore has a current-ly strong and shockingly electrifying impact on DTE's stock price.

These results shed light on the potential influence of human nomenclature on market movements, sparking a new current of inquiry in the electrifying intersection of naming trends and financial fluctuations. The implications of this dynamic relationship are indeed charged with potential, opening up avenues for further exploration and potential practical applications in the finance sector.

As we switch off the lights on this research, it is evident that no more research is needed in this area. The electrifying bond between the popularity of the first name Theodore and the stock price of DTE Energy Company has been shockingly illuminated, leaving us with a sense of awe and a newfound appreciation for the enigmatic interplay between human names and financial markets. It's clear, this electrifying connection is truly the "current" state of the art in financial research, and it's time to "amp" up our understanding of the power of nomenclature.


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 Shocking Stock Trends: A Electrifying Link Between Theodore's Popularity and DTE Energy Company's Stock Price. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Whimsical Economics


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 Shocking Stock Trends: A Electrifying Link Between Theodore's Popularity and DTE Energy Company's Stock Price. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Meta-analytic Research in Social Trends


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 Shocking Stock Trends: A Electrifying Link Between Theodore's Popularity and DTE Energy Company's Stock Price with an abstract of In this paper, we electrify the academic community by uncovering a shocking correlation between the popularity of the first name Theodore and the stock price of DTE Energy Company. Using data from the US Social Security Administration and LSEG Analytics (Refinitiv), we meticulously analyzed the trends from 2002 to 2022. The results left us feeling positively charged, as we discovered a striking correlation coefficient of 0.9884162 and a significant p-value of less than 0.01. This research sheds light on a previously overlooked connection and sparks a new area of inquiry in the intersection of name popularity and stock price movements. Our findings are definitely "electrifying," and we invite the academic community to join us in illuminating further insights through future research.

ChatGPT:

Theodore popularity, DTE Energy Company, stock price, correlation, name popularity, social security administration, LSEG Analytics, Refinitiv, stock trends, stock price movements, correlation coefficient, p-value, name trends, stock market, energy industry

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

DTE Energy Company's stock price (DTE)
Detailed data title: Opening price of DTE Energy Company (DTE) on the first trading day of the year
Source: LSEG Analytics (Refinitiv)
Additional Info: Via Microsoft Excel Stockhistory function

See what else correlates with DTE Energy Company's stock price (DTE)

Correlation r = 0.9884162 (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 = 0.9769666 (Coefficient of determination)
This means 97.7% of the change in the one variable (i.e., DTE Energy Company's stock price (DTE)) is predictable based on the change in the other (i.e., Popularity of the first name Theodore) over the 21 years from 2002 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 5.06E-17. 0.0000000000000000505615840237
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 5.06E-15% of random cases. Said differently, if you correlated 19,777,861,380,514,992 random variables You don't actually need 19 quadrillion variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.

p-value calculations are useful for understanding the probability of a result happening by chance. They are most useful when used to highlight the risk of a fluke outcome. For example, if you calculate a p-value of 0.30, the risk that the result is a fluke is high. It is good to know that! But there are lots of ways to get a p-value of less than 0.01, as evidenced by this project.

In this particular case, the values are so extreme as to be meaningless. That's why no one reports p-values with specificity after they drop below 0.01.

Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 20 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 20 because we have two variables measured over a period of 21 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.

[ 0.97, 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.
200220032004200520062007200820092010201120122013201420152016201720182019202020212022
Popularity of the first name Theodore (Babies born)97596410051095113311371139123913321573194924283228415349165966708378998641958910768
DTE Energy Company's stock price (DTE) (Stock price)35.7739.5633.5236.8736.7741.2937.4130.7437.3538.7646.7551.7656.573.8867.6484.0193.3293.75110.61103.56119.75




Why this works

  1. Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
  2. Lack of causal connection: There is probably Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
    no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
  3. Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
    p-value calculation does not take this into account, so mathematically it appears less probable than it really is.




Try it yourself

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

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

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

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

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

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

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

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

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


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

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

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

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

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([975,964,1005,1095,1133,1137,1139,1239,1332,1573,1949,2428,3228,4153,4916,5966,7083,7899,8641,9589,10768,])
array_2 = np.array([35.77,39.56,33.52,36.87,36.77,41.29,37.41,30.74,37.35,38.76,46.75,51.76,56.5,73.88,67.64,84.01,93.32,93.75,110.61,103.56,119.75,])
array_1_name = "Popularity of the first name Theodore"
array_2_name = "DTE Energy Company's stock price (DTE)"

# 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: 2820 · Black Variable ID: 2578 · Red Variable ID: 1902
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