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Spurious correlation #2,295 · 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 Hadley and the second variable is Fomento Econ's stock price (FMX).  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

Hadleys are known for their impeccable taste in investment opportunities, particularly in the beverage sector. This led to a surge in demand for Fomento Econ's products, boosting their overall profitability and subsequently, their stock price. It's like the Hadley name is a stamp of approval for success, one bubbly stock at a time.

Model: dalle-3
Prompt: Generate a cute cartoon image of a bustling Mexican street with a large digital billboard displaying the stock price of Fomento Económico Mexicano. In the scene, a crowd of excited people gather around the billboard, their eyes fixed on the fluctuating numbers. Among them, a group of cheerful parents talk animatedly about the growing popularity of the name Hadley for their newborns. The image should capture the lively atmosphere and vibrant energy of the city street, with a focus on the charming interactions of the characters. 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 Hadley and Fomento Económico Mexicano's stock price. 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: Surrealism Sci-fi fantacy Cubism Concept art Cute cartoon
ChatGPT: Cute cartoon

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 Hadley and Fomento Económico Mexicano's stock price together. Keep the description simple.
ChatGPT: In the bustling streets of Mexico City, a large digital billboard displays the fluctuating stock price of Fomento Económico Mexicano, surrounded by a crowd of people eagerly watching the numbers change. Among the crowd, a group of parents chat excitedly, discussing the growing popularity of the first name Hadley for their newborns.

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: [ Cute cartoon ] and depicting this scene: In the bustling streets of Mexico City, a large digital billboard displays the fluctuating stock price of Fomento Económico Mexicano, surrounded by a crowd of people eagerly watching the numbers change. Among the crowd, a group of parents chat excitedly, discussing the growing popularity of the first name Hadley for their newborns. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate a cute cartoon image of a bustling Mexican street with a large digital billboard displaying the stock price of Fomento Económico Mexicano. In the scene, a crowd of excited people gather around the billboard, their eyes fixed on the fluctuating numbers. Among them, a group of cheerful parents talk animatedly about the growing popularity of the name Hadley for their newborns. The image should capture the lively atmosphere and vibrant energy of the city street, with a focus on the charming interactions of the characters.

*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 Hadley caused Fomento Econ's stock price (FMX) to increase. Make it feel plausible.

AI academic paper

(Because p < 0.01)
Hadley or Not, Here We Fomento Econ: Exploring the Stock Price Name-game Connection

Journal of Financial Linguistics

Jan 2024

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




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

Please draft the title and abstract of an academic research paper presenting the findings of the connection between Popularity of the first name Hadley and Fomento Econ's stock price (FMX). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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

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 0.9765607 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]]
Hadley or Not, Here We Fomento Econ: Exploring the Stock Price Name-game Connection

[[ABSTRACT]]
The present study investigates the potential linkage between the popularity of the first name Hadley and the stock price of Fomento Econ (FMX). Utilizing data obtained from the US Social Security Administration and LSEG Analytics (Refinitiv), the research team examined the correlation between these seemingly unrelated variables from 2002 to 2022. The analysis reveals a remarkably high correlation coefficient of 0.9765607 and a statistically significant p-value of less than 0.01. While the causal relationship remains elusive, the findings prompt a closer examination of the intriguing interplay between the eponymous popularity and financial market dynamics. The implications of these results extend beyond the numeric values, shedding light on the curious and quirky ways in which human behavior, nomenclature, and investor sentiment intersect in the global marketplace.


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

Please make up the introduction section of an academic research paper presenting the findings of the connection between Popularity of the first name Hadley and Fomento Econ's stock price (FMX). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Here is the title and abstract of the paper:
[[TITLE]]
Hadley or Not, Here We Fomento Econ: Exploring the Stock Price Name-game Connection

[[ABSTRACT]]
The present study investigates the potential linkage between the popularity of the first name Hadley and the stock price of Fomento Econ (FMX). Utilizing data obtained from the US Social Security Administration and LSEG Analytics (Refinitiv), the research team examined the correlation between these seemingly unrelated variables from 2002 to 2022. The analysis reveals a remarkably high correlation coefficient of 0.9765607 and a statistically significant p-value of less than 0.01. While the causal relationship remains elusive, the findings prompt a closer examination of the intriguing interplay between the eponymous popularity and financial market dynamics. The implications of these results extend beyond the numeric values, shedding light on the curious and quirky ways in which human behavior, nomenclature, and investor sentiment intersect in the global marketplace.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

The relationship between human behavior and financial market dynamics has long been a topic of interest for researchers and investors alike. While numerous studies have explored factors such as consumer sentiment, economic indicators, and corporate performance, the potential influence of something as seemingly unrelated as the popularity of a first name on stock prices has been largely overlooked.

In this study, we delve into the curious world of eponymous popularity and its connection to the stock price of Fomento Econ (FMX). Specifically, we focus on the first name "Hadley" and its potential impact on the financial market. This investigation is prompted by the peculiar observation of a striking correlation between the prevalence of the name "Hadley" and the fluctuation of FMX stock prices over the past two decades.

While one may initially dismiss such a connection as mere coincidence or random fluctuation, the persistency and strength of this correlation cannot be easily discounted. Consequently, our research aims to shed light on this intriguing phenomenon and explore the possible mechanisms underlying the apparent relationship between nomenclature and investor sentiment.

Given the widespread use of quantitative data analysis techniques and the availability of comprehensive datasets from the US Social Security Administration and LSEG Analytics (Refinitiv), this study is poised to provide empirical evidence of the correlation between the first name "Hadley" and FMX stock prices. Additionally, the findings will contribute to a broader understanding of the complex and often enigmatic ways in which human behavior intersects with the global financial marketplace.

As we embark on this unconventional journey through the realms of nomenclature and market dynamics, it is our hope that the insights gleaned from this study will not only expand the frontiers of financial research but also add a touch of whimsy to the otherwise austere landscape of economic analysis.


Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft 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 Hadley and Fomento Econ's stock price (FMX). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Perhaps you also got inspiration from some board games that are vaugely related.

Here is the title and abstract of the paper:
[[TITLE]]
Hadley or Not, Here We Fomento Econ: Exploring the Stock Price Name-game Connection

[[ABSTRACT]]
The present study investigates the potential linkage between the popularity of the first name Hadley and the stock price of Fomento Econ (FMX). Utilizing data obtained from the US Social Security Administration and LSEG Analytics (Refinitiv), the research team examined the correlation between these seemingly unrelated variables from 2002 to 2022. The analysis reveals a remarkably high correlation coefficient of 0.9765607 and a statistically significant p-value of less than 0.01. While the causal relationship remains elusive, the findings prompt a closer examination of the intriguing interplay between the eponymous popularity and financial market dynamics. The implications of these results extend beyond the numeric values, shedding light on the curious and quirky ways in which human behavior, nomenclature, and investor sentiment intersect in the global marketplace.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The relationship between human behavior and financial market dynamics has long been a topic of interest for researchers and investors alike. While numerous studies have explored factors such as consumer sentiment, economic indicators, and corporate performance, the potential influence of something as seemingly unrelated as the popularity of a first name on stock prices has been largely overlooked.
In this study, we delve into the curious world of eponymous popularity and its connection to the stock price of Fomento Econ (FMX). Specifically, we focus on the first name "Hadley" and its potential impact on the financial market. This investigation is prompted by the peculiar observation of a striking correlation between the prevalence of the name "Hadley" and the fluctuation of FMX stock prices over the past two decades.
While one may initially dismiss such a connection as mere coincidence or random fluctuation, the persistency and strength of this correlation cannot be easily discounted. Consequently, our research aims to shed light on this intriguing phenomenon and explore the possible mechanisms underlying the apparent relationship between nomenclature and investor sentiment.
Given the widespread use of quantitative data analysis techniques and the availability of comprehensive datasets from the US Social Security Administration and LSEG Analytics (Refinitiv), this study is poised to provide empirical evidence of the correlation between the first name "Hadley" and FMX stock prices. Additionally, the findings will contribute to a broader understanding of the complex and often enigmatic ways in which human behavior intersects with the global financial marketplace.
As we embark on this unconventional journey through the realms of nomenclature and market dynamics, it is our hope that the insights gleaned from this study will not only expand the frontiers of financial research but also add a touch of whimsy to the otherwise austere landscape of economic analysis.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The influence of nomenclature on economic phenomena has been a subject of limited but intriguing investigation. Smith (2010) explores the impact of product names on consumer behavior, while Doe (2015) investigates the role of corporate nomenclature in signaling financial performance. Additionally, Jones (2018) examines the relationship between the popularity of personal names and career success. However, the specific association between the prevalence of the first name "Hadley" and the stock price of Fomento Econ (FMX) remains a conspicuously uncharted territory in the literature.

Moving away from the traditional economics and nomenclature focus, Harari's "Sapiens: A Brief History of Humankind" (2014) delves into the broader implications of human evolution and societal development, touching upon the evolution of names as a form of cultural expression. This intriguing work, while not directly related to financial markets, offers a thought-provoking backdrop for considering the role of nomenclature in shaping human behavior and societal dynamics.

On the other hand, "The Economic Consequences of the Overlook Hotel: Lessons from the Shining" by King (1977) and "Grapes of Wrath: A Stock Market Odyssey" by Steinbeck (1939) offer fictional yet evocative narratives that hint at the potential interplay between names and economic fortunes. While these literary works are not empirical studies in the traditional sense, they provide a whimsical contemplation of the intricate connections between human nomenclature and financial outcomes.

Beyond the realm of literature, the board game "Monopoly" offers a playful simulation of property acquisition and economic competition, raising subtle questions about the influence of names and branding on market dynamics. The game's iconic placement of properties, each bearing distinctive names, serves as a lighthearted reflection of the potential impact of nomenclature on real-world economic transactions.

In light of these diverse perspectives, our study aims to contribute to both the scholarly discourse and the broader public understanding of the multifaceted relationship between nomenclature, human behavior, and financial market dynamics.


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

Please make up the methodology section of an academic research paper presenting the findings of the connection between Popularity of the first name Hadley and Fomento Econ's stock price (FMX). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Your research team collected data from all across the internet, but mostly just used information from 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]]
Hadley or Not, Here We Fomento Econ: Exploring the Stock Price Name-game Connection

[[ABSTRACT]]
The present study investigates the potential linkage between the popularity of the first name Hadley and the stock price of Fomento Econ (FMX). Utilizing data obtained from the US Social Security Administration and LSEG Analytics (Refinitiv), the research team examined the correlation between these seemingly unrelated variables from 2002 to 2022. The analysis reveals a remarkably high correlation coefficient of 0.9765607 and a statistically significant p-value of less than 0.01. While the causal relationship remains elusive, the findings prompt a closer examination of the intriguing interplay between the eponymous popularity and financial market dynamics. The implications of these results extend beyond the numeric values, shedding light on the curious and quirky ways in which human behavior, nomenclature, and investor sentiment intersect in the global marketplace.

[[INTRODUCTION]]
The relationship between human behavior and financial market dynamics has long been a topic of interest for researchers and investors alike. While numerous studies have explored factors such as consumer sentiment, economic indicators, and corporate performance, the potential influence of something as seemingly unrelated as the popularity of a first name on stock prices has been largely overlooked.
In this study, we delve into the curious world of eponymous popularity and its connection to the stock price of Fomento Econ (FMX). Specifically, we focus on the first name "Hadley" and its potential impact on the financial market. This investigation is prompted by the peculiar observation of a striking correlation between the prevalence of the name "Hadley" and the fluctuation of FMX stock prices over the past two decades.
While one may initially dismiss such a connection as mere coincidence or random fluctuation, the persistency and strength of this correlation cannot be easily discounted. Consequently, our research aims to shed light on this intriguing phenomenon and explore the possible mechanisms underlying the apparent relationship between nomenclature and investor sentiment.
Given the widespread use of quantitative data analysis techniques and the availability of comprehensive datasets from the US Social Security Administration and LSEG Analytics (Refinitiv), this study is poised to provide empirical evidence of the correlation between the first name "Hadley" and FMX stock prices. Additionally, the findings will contribute to a broader understanding of the complex and often enigmatic ways in which human behavior intersects with the global financial marketplace.
As we embark on this unconventional journey through the realms of nomenclature and market dynamics, it is our hope that the insights gleaned from this study will not only expand the frontiers of financial research but also add a touch of whimsy to the otherwise austere landscape of economic analysis.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To explore the potential relationship between the popularity of the first name Hadley and the stock price of Fomento Econ (FMX), a multi-faceted approach was employed. Data spanning from 2002 to 2022 was collected from various sources, with a primary focus on information from the US Social Security Administration and LSEG Analytics (Refinitiv). The rationale for selecting these data sources was not solely based on the availability of information, but also on the robustness of the datasets and their potential to capture the nuances of eponymous popularity and financial market dynamics.

The first step in this empirical odyssey involved the extraction, aggregation, and cleansing of the name-related data from the US Social Security Administration. This included compiling the annual counts of individuals given the name "Hadley" and establishing its relative popularity within the broader context of first names. Concurrently, the stock price data of Fomento Econ (FMX) was meticulously gathered from LSEG Analytics (Refinitiv), incorporating daily closing prices and relevant trading volumes.

Once the datasets were harmonized and aligned chronologically, a series of quantitative analyses were undertaken to unravel the mysterious interplay between the eponymous phenomenon and stock price dynamics. The statistical techniques employed encompassed time series analysis, correlation coefficients calculations, and regression modeling. These methodologies allowed for the identification of potential patterns, associations, and predictive insights into the relationship between the prevalence of the name "Hadley" and the fluctuation of FMX stock prices.

Furthermore, to substantiate the robustness of the findings and mitigate the risks of spurious correlations, various sensitivity analyses and robustness checks were conducted. These additional examinations sought to discern the stability of the observed relationship across different time periods, sub-samples, and alternative specifications. Such rigorous scrutiny aimed to fortify the validity and generalizability of the purported connection between eponymous popularity and stock market dynamics.

In parallel to the quantitative endeavors, qualitative research methods were also embraced to capture the nuances and intangible facets of the name-game connection. Semantic analyses of media coverage, investor sentiments, and social trends related to both the name "Hadley" and Fomento Econ (FMX) offered supplementary insights into the perceptual undercurrents that might be shaping the apparent correlation.

It is worth noting that, while the inquiry into the connection between the first name Hadley and FMX stock prices may seem unconventional, the thoroughness and rigor of the methodological approach served as a bulwark against potential methodological pitfalls and erroneous inferences. This multifaceted and integrative methodology was essential in proffering a comprehensive understanding of the peculiar nexus between nomenclature and market dynamics, serving as a testament to the interdisciplinary spirit that underpins this scholarly endeavor.


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

Please make up the results section of an academic research paper presenting the findings of the connection between Popularity of the first name Hadley and Fomento Econ's stock price (FMX). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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

For the time period 2002 to 2022, you found a correlation 0.9765607, r-squared of 0.9536709, 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]]
Hadley or Not, Here We Fomento Econ: Exploring the Stock Price Name-game Connection

[[ABSTRACT]]
The present study investigates the potential linkage between the popularity of the first name Hadley and the stock price of Fomento Econ (FMX). Utilizing data obtained from the US Social Security Administration and LSEG Analytics (Refinitiv), the research team examined the correlation between these seemingly unrelated variables from 2002 to 2022. The analysis reveals a remarkably high correlation coefficient of 0.9765607 and a statistically significant p-value of less than 0.01. While the causal relationship remains elusive, the findings prompt a closer examination of the intriguing interplay between the eponymous popularity and financial market dynamics. The implications of these results extend beyond the numeric values, shedding light on the curious and quirky ways in which human behavior, nomenclature, and investor sentiment intersect in the global marketplace.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The relationship between human behavior and financial market dynamics has long been a topic of interest for researchers and investors alike. While numerous studies have explored factors such as consumer sentiment, economic indicators, and corporate performance, the potential influence of something as seemingly unrelated as the popularity of a first name on stock prices has been largely overlooked.
In this study, we delve into the curious world of eponymous popularity and its connection to the stock price of Fomento Econ (FMX). Specifically, we focus on the first name "Hadley" and its potential impact on the financial market. This investigation is prompted by the peculiar observation of a striking correlation between the prevalence of the name "Hadley" and the fluctuation of FMX stock prices over the past two decades.
While one may initially dismiss such a connection as mere coincidence or random fluctuation, the persistency and strength of this correlation cannot be easily discounted. Consequently, our research aims to shed light on this intriguing phenomenon and explore the possible mechanisms underlying the apparent relationship between nomenclature and investor sentiment.
Given the widespread use of quantitative data analysis techniques and the availability of comprehensive datasets from the US Social Security Administration and LSEG Analytics (Refinitiv), this study is poised to provide empirical evidence of the correlation between the first name "Hadley" and FMX stock prices. Additionally, the findings will contribute to a broader understanding of the complex and often enigmatic ways in which human behavior intersects with the global financial marketplace.
As we embark on this unconventional journey through the realms of nomenclature and market dynamics, it is our hope that the insights gleaned from this study will not only expand the frontiers of financial research but also add a touch of whimsy to the otherwise austere landscape of economic analysis.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The analysis of the data collected from the US Social Security Administration and LSEG Analytics (Refinitiv) yielded intriguing results regarding the relationship between the prevalence of the first name Hadley and the stock price of Fomento Econ (FMX) from 2002 to 2022.

The correlation coefficient of 0.9765607 indicated a remarkably strong positive correlation between the two variables. This finding suggests that as the popularity of the name Hadley waxed and waned, the FMX stock price danced quite closely in rhythm. The relationship appeared to be robust, explaining approximately 95.37% of the variability in FMX stock prices, as reflected by the high r-squared value of 0.9536709.

Moreover, the p-value of less than 0.01 provided compelling evidence against the null hypothesis of no relationship, affirming the statistical significance of the observed correlation. In essence, the likelihood of this finding being due to random chance is lower than a subpar market forecast.

Additionally, the scatterplot (Fig. 1) visually depicts the strong linear relationship between the prevalence of the name Hadley and FMX stock prices, further emphasizing the pronounced association between these seemingly incongruent entities.

These findings serve not only to illuminate the inexplicable bond between the eponymous popularity of Hadley and the financial performance of FMX but also to inject a dose of whimsy into the traditionally staid arena of economic inquiry. While the underlying mechanisms driving this correlation remain tantalizingly mysterious, the results beckon further exploration into the quirky ways in which human behavior and market dynamics intersect, reminding us that sometimes, in the convoluted labyrinth of financial analysis, the most unexpected connections can yield the most intriguing revelations.


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

Please make up the discussion section of an academic research paper presenting the findings of the connection between Popularity of the first name Hadley and Fomento Econ's stock price (FMX). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Limit your response to 500 tokens.

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

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

[[TITLE]]
Hadley or Not, Here We Fomento Econ: Exploring the Stock Price Name-game Connection

[[ABSTRACT]]
The present study investigates the potential linkage between the popularity of the first name Hadley and the stock price of Fomento Econ (FMX). Utilizing data obtained from the US Social Security Administration and LSEG Analytics (Refinitiv), the research team examined the correlation between these seemingly unrelated variables from 2002 to 2022. The analysis reveals a remarkably high correlation coefficient of 0.9765607 and a statistically significant p-value of less than 0.01. While the causal relationship remains elusive, the findings prompt a closer examination of the intriguing interplay between the eponymous popularity and financial market dynamics. The implications of these results extend beyond the numeric values, shedding light on the curious and quirky ways in which human behavior, nomenclature, and investor sentiment intersect in the global marketplace.

[[LITERATURE REVIEW]]
The influence of nomenclature on economic phenomena has been a subject of limited but intriguing investigation. Smith (2010) explores the impact of product names on consumer behavior, while Doe (2015) investigates the role of corporate nomenclature in signaling financial performance. Additionally, Jones (2018) examines the relationship between the popularity of personal names and career success. However, the specific association between the prevalence of the first name "Hadley" and the stock price of Fomento Econ (FMX) remains a conspicuously uncharted territory in the literature.
Moving away from the traditional economics and nomenclature focus, Harari's "Sapiens: A Brief History of Humankind" (2014) delves into the broader implications of human evolution and societal development, touching upon the evolution of names as a form of cultural expression. This intriguing work, while not directly related to financial markets, offers a thought-provoking backdrop for considering the role of nomenclature in shaping human behavior and societal dynamics.
On the other hand, "The Economic Consequences of the Overlook Hotel: Lessons from the Shining" by King (1977) and "Grapes of Wrath: A Stock Market Odyssey" by Steinbeck (1939) offer fictional yet evocative narratives that hint at the potential interplay between names and economic fortunes. While these literary works are not empirical studies in the traditional sense, they provide a whimsical contemplation of the intricate connections between human nomenclature and financial outcomes.
Beyond the realm of literature, the board game "Monopoly" offers a playful simulation of property acquisition and economic competition, raising subtle questions about the influence of names and branding on market dynamics. The game's iconic placement of properties, each bearing distinctive names, serves as a lighthearted reflection of the potential impact of nomenclature on real-world economic transactions.
In light of these diverse perspectives, our study aims to contribute to both the scholarly discourse and the broader public understanding of the multifaceted relationship between nomenclature, human behavior, and financial market dynamics.

[[RESULTS]]
The analysis of the data collected from the US Social Security Administration and LSEG Analytics (Refinitiv) yielded intriguing results regarding the relationship between the prevalence of the first name Hadley and the stock price of Fomento Econ (FMX) from 2002 to 2022.
The correlation coefficient of 0.9765607 indicated a remarkably strong positive correlation between the two variables. This finding suggests that as the popularity of the name Hadley waxed and waned, the FMX stock price danced quite closely in rhythm. The relationship appeared to be robust, explaining approximately 95.37% of the variability in FMX stock prices, as reflected by the high r-squared value of 0.9536709.
Moreover, the p-value of less than 0.01 provided compelling evidence against the null hypothesis of no relationship, affirming the statistical significance of the observed correlation. In essence, the likelihood of this finding being due to random chance is lower than a subpar market forecast.
Additionally, the scatterplot (Fig. 1) visually depicts the strong linear relationship between the prevalence of the name Hadley and FMX stock prices, further emphasizing the pronounced association between these seemingly incongruent entities.
These findings serve not only to illuminate the inexplicable bond between the eponymous popularity of Hadley and the financial performance of FMX but also to inject a dose of whimsy into the traditionally staid arena of economic inquiry. While the underlying mechanisms driving this correlation remain tantalizingly mysterious, the results beckon further exploration into the quirky ways in which human behavior and market dynamics intersect, reminding us that sometimes, in the convoluted labyrinth of financial analysis, the most unexpected connections can yield the most intriguing revelations.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The present study offers a compelling exploration of the relationship between the popularity of the first name "Hadley" and the stock price of Fomento Econ (FMX), revealing a remarkably strong positive correlation between the two seemingly unrelated variables. The findings contribute to the growing literature on the influence of nomenclature on economic phenomena, supporting and extending prior research in this domain.

Prior investigations into the impact of names on consumer behavior and financial performance provide a valuable backdrop for interpreting the current results. Smith's (2010) study on the influence of product names on consumer behavior, while focusing on a different context, underscores the significance of nomenclature in shaping human choices and responses. Likewise, Doe's (2015) examination of corporate nomenclature serves as a pertinent reminder of the potential implications of names in signaling financial performance. Jones' (2018) work on the relationship between personal names and career success, although not directly related to stock prices, highlights the pervasive influence of names in various domains of human activity.

Furthermore, the curious inclusivity of literature beyond traditional economic and nomenclature themes offers a refreshing lens through which to consider the implications of the current findings. Harari's (2014) contemplation of human evolution and cultural expression through names presents a thought-provoking backdrop for understanding the broader societal dynamics at play. King's (1977) and Steinbeck's (1939) literary works, while fictional, provide engaging narratives that playfully hint at the potential interplay between names and economic outcomes, a theme which finds resonance in the present study's unexpected correlation. The whimsical contemplation inspired by these diverse perspectives enriches the scholarly discourse, reminding us that even the most unconventional sources of inspiration can offer valuable insights into economic and market dynamics.

The striking correlation coefficient of 0.9765607 and the statistically significant p-value of less than 0.01 substantiate the robustness and meaningfulness of the relationship between the prevalence of the name "Hadley" and FMX stock prices. These results, in conjunction with the high r-squared value of 0.9536709, underscore the remarkable explanatory power of the observed correlation. The visual representation of the strong linear relationship in the scatterplot further underscores the coherence of the findings with prior literature, adding a touch of whimsy to the otherwise serious econometric analysis.

In conclusion, the findings of this study not only corroborate but also extend existing understandings of the influence of nomenclature on economic and financial market dynamics. The unexpected bond between the eponymous popularity of "Hadley" and the financial performance of FMX may defy conventional reasoning, but it offers a compelling reminder that the intersection of human behavior, nomenclature, and market dynamics is often characterized by idiosyncrasy, unpredictability, and, dare one say, a dash of serendipity.


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

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Popularity of the first name Hadley and Fomento Econ's stock price (FMX). Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Hadley or Not, Here We Fomento Econ: Exploring the Stock Price Name-game Connection

[[ABSTRACT]]
The present study investigates the potential linkage between the popularity of the first name Hadley and the stock price of Fomento Econ (FMX). Utilizing data obtained from the US Social Security Administration and LSEG Analytics (Refinitiv), the research team examined the correlation between these seemingly unrelated variables from 2002 to 2022. The analysis reveals a remarkably high correlation coefficient of 0.9765607 and a statistically significant p-value of less than 0.01. While the causal relationship remains elusive, the findings prompt a closer examination of the intriguing interplay between the eponymous popularity and financial market dynamics. The implications of these results extend beyond the numeric values, shedding light on the curious and quirky ways in which human behavior, nomenclature, and investor sentiment intersect in the global marketplace.

[[INTRDUCTION]]
The relationship between human behavior and financial market dynamics has long been a topic of interest for researchers and investors alike. While numerous studies have explored factors such as consumer sentiment, economic indicators, and corporate performance, the potential influence of something as seemingly unrelated as the popularity of a first name on stock prices has been largely overlooked.
In this study, we delve into the curious world of eponymous popularity and its connection to the stock price of Fomento Econ (FMX). Specifically, we focus on the first name "Hadley" and its potential impact on the financial market. This investigation is prompted by the peculiar observation of a striking correlation between the prevalence of the name "Hadley" and the fluctuation of FMX stock prices over the past two decades.
While one may initially dismiss such a connection as mere coincidence or random fluctuation, the persistency and strength of this correlation cannot be easily discounted. Consequently, our research aims to shed light on this intriguing phenomenon and explore the possible mechanisms underlying the apparent relationship between nomenclature and investor sentiment.
Given the widespread use of quantitative data analysis techniques and the availability of comprehensive datasets from the US Social Security Administration and LSEG Analytics (Refinitiv), this study is poised to provide empirical evidence of the correlation between the first name "Hadley" and FMX stock prices. Additionally, the findings will contribute to a broader understanding of the complex and often enigmatic ways in which human behavior intersects with the global financial marketplace.
As we embark on this unconventional journey through the realms of nomenclature and market dynamics, it is our hope that the insights gleaned from this study will not only expand the frontiers of financial research but also add a touch of whimsy to the otherwise austere landscape of economic analysis.

[[RESULTS]]
The analysis of the data collected from the US Social Security Administration and LSEG Analytics (Refinitiv) yielded intriguing results regarding the relationship between the prevalence of the first name Hadley and the stock price of Fomento Econ (FMX) from 2002 to 2022.
The correlation coefficient of 0.9765607 indicated a remarkably strong positive correlation between the two variables. This finding suggests that as the popularity of the name Hadley waxed and waned, the FMX stock price danced quite closely in rhythm. The relationship appeared to be robust, explaining approximately 95.37% of the variability in FMX stock prices, as reflected by the high r-squared value of 0.9536709.
Moreover, the p-value of less than 0.01 provided compelling evidence against the null hypothesis of no relationship, affirming the statistical significance of the observed correlation. In essence, the likelihood of this finding being due to random chance is lower than a subpar market forecast.
Additionally, the scatterplot (Fig. 1) visually depicts the strong linear relationship between the prevalence of the name Hadley and FMX stock prices, further emphasizing the pronounced association between these seemingly incongruent entities.
These findings serve not only to illuminate the inexplicable bond between the eponymous popularity of Hadley and the financial performance of FMX but also to inject a dose of whimsy into the traditionally staid arena of economic inquiry. While the underlying mechanisms driving this correlation remain tantalizingly mysterious, the results beckon further exploration into the quirky ways in which human behavior and market dynamics intersect, reminding us that sometimes, in the convoluted labyrinth of financial analysis, the most unexpected connections can yield the most intriguing revelations.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, the present study has uncovered a strikingly robust correlation between the prevalence of the first name Hadley and the stock price of Fomento Econ (FMX), from 2002 to 2022. The remarkably high correlation coefficient of 0.9765607 and the statistically significant p-value of less than 0.01 provide compelling evidence of a close relationship between these seemingly unrelated variables. This unexpected linkage sheds light on the quirky and unpredictable ways in which human behavior, nomenclature, and financial market dynamics intersect in the global marketplace. The implications of this correlation extend beyond the statistical measures, offering a playful reminder that even in the serious realm of economic analysis, whimsical connections can emerge. It appears that the eponymous popularity of Hadley may indeed hold sway over the flux and flow of stock prices, a revelation that adds a touch of unexpected charm to the dispassionate realm of finance.

Given the comprehensive nature of the data analysis and the conclusive findings, it seems that no further investigation into this peculiar phenomenon is required. The findings of this study offer a delightful glimpse into the serendipitous dance of nomenclature and market dynamics, inviting scholars and investors alike to appreciate the unpredictable and whimsical elements woven into the fabric of financial analysis. Therefore, it is our assertion that no more research is needed in this area.


Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of academic journals. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding research, scientific, or academic journal that would publish a paper entited Hadley or Not, Here We Fomento Econ: Exploring the Stock Price Name-game Connection. Respond only with the name of a fictional academic journal.

ChatGPT:

Journal of Financial Linguistics


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 Hadley or Not, Here We Fomento Econ: Exploring the Stock Price Name-game Connection. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Financial Linguistics and Market Psychology


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 Hadley or Not, Here We Fomento Econ: Exploring the Stock Price Name-game Connection with an abstract of The present study investigates the potential linkage between the popularity of the first name Hadley and the stock price of Fomento Econ (FMX). Utilizing data obtained from the US Social Security Administration and LSEG Analytics (Refinitiv), the research team examined the correlation between these seemingly unrelated variables from 2002 to 2022. The analysis reveals a remarkably high correlation coefficient of 0.9765607 and a statistically significant p-value of less than 0.01. While the causal relationship remains elusive, the findings prompt a closer examination of the intriguing interplay between the eponymous popularity and financial market dynamics. The implications of these results extend beyond the numeric values, shedding light on the curious and quirky ways in which human behavior, nomenclature, and investor sentiment intersect in the global marketplace.

ChatGPT:

Hadley, stock price, Fomento Econ, FMX, correlation, US Social Security Administration, LSEG Analytics, Refinitiv, eponymous popularity, financial market dynamics, human behavior, nomenclature, investor sentiment

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

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

See what else correlates with Fomento Econ's stock price (FMX)

Correlation r = 0.9765607 (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 = 0.9536709 (Coefficient of determination)
This means 95.4% of the change in the one variable (i.e., Fomento Econ's stock price (FMX)) is predictable based on the change in the other (i.e., Popularity of the first name Hadley) over the 21 years from 2002 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 3.91E-14. 0.0000000000000390632659609003
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 0.98 in 3.91E-12% of random cases. Said differently, if you correlated 25,599,498,029,707 random variables You don't actually need 25 trillion 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.

[ 0.94, 0.99 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

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


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

Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
200220032004200520062007200820092010201120122013201420152016201720182019202020212022
Popularity of the first name Hadley (Babies born)2963974444916547288139311479180724682861305830122919274229082603245325002556
Fomento Econ's stock price (FMX) (Stock price)11.5212.1312.3317.6224.538.9238.1730.1748.2956.4471.96101.6996.3488.3391.8276.4294.5985.7395.2375.8177.63




Why this works

  1. Data dredging: I have 25,213 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 635,695,369 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([296,397,444,491,654,728,813,931,1479,1807,2468,2861,3058,3012,2919,2742,2908,2603,2453,2500,2556,])
array_2 = np.array([11.52,12.13,12.33,17.62,24.5,38.92,38.17,30.17,48.29,56.44,71.96,101.69,96.34,88.33,91.82,76.42,94.59,85.73,95.23,75.81,77.63,])
array_1_name = "Popularity of the first name Hadley"
array_2_name = "Fomento Econ's stock price (FMX)"

# 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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Correlation ID: 2295 · Black Variable ID: 4113 · Red Variable ID: 1579
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