Spurious correlation #2,121 · 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 Adeline and the second variable is Trip.com Group's stock price (TCOM). The chart goes from 2004 to 2022, and the two variables track closely in value over that time.

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 Adeline and the second variable is Trip.com Group's stock price (TCOM). The chart goes from 2004 to 2022, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As more and more babies were named Adeline, the demand for personalized souvenirs and trinkets with the name Adeline on them skyrocketed. This unexpected surge in demand led to a nation-wide shortage of souvenir production capacity, prompting Trip.com Group to capitalize on this opportunity by pivoting their business model to include personalized souvenir offerings. This diversification not only boosted their stock price, but also positioned them as a key player in the burgeoning personalized souvenir market. As a result, the once humble name Adeline inadvertently became the catalyst for Trip.com Group's unprecedented success, proving that the impact of a name can truly be souvenirsational.

^{Show image generation prompt} Model: dalle-3
Prompt: Create an image of a futuristic cityscape where a neon billboard displays the name "Adeline" in dynamic, colorful typography, surrounded by a mesmerizing cascade of data cyber art. Adjacent to it, a sleek digital stock ticker prominently showcases Trip.com Group's soaring stock price, accompanied by a vibrant green upward arrow. The city bustles below, creating a vibrant, energetic environment that visually captures the rise of Adeline's popularity alongside the success of Trip.com Group. 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 Adeline and Trip.com Group'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: Data cyber art Pop art Data cyber art Cute cartoon Brutalism
ChatGPT: Data cyber art

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 Adeline and Trip.com Group's stock price together. Keep the description simple.
ChatGPT: In a bustling city, a vibrant billboard flashes the name "Adeline" in bold, cheerful letters, while adjacent to it, a digital stock ticker prominently displays Trip.com Group's rising stock price, accompanied by a green upward arrow. The scene captures the popularity of the name Adeline alongside Trip.com Group's soaring stock price, symbolizing both elements making a mark in the world.

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: [ Data cyber art ] and depicting this scene: In a bustling city, a vibrant billboard flashes the name "Adeline" in bold, cheerful letters, while adjacent to it, a digital stock ticker prominently displays Trip.com Group's rising stock price, accompanied by a green upward arrow. The scene captures the popularity of the name Adeline alongside Trip.com Group's soaring stock price, symbolizing both elements making a mark in the world. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Create an image of a futuristic cityscape where a neon billboard displays the name "Adeline" in dynamic, colorful typography, surrounded by a mesmerizing cascade of data cyber art. Adjacent to it, a sleek digital stock ticker prominently showcases Trip.com Group's soaring stock price, accompanied by a vibrant green upward arrow. The city bustles below, creating a vibrant, energetic environment that visually captures the rise of Adeline's popularity alongside the success of Trip.com Group.

*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.
^{Show prompt for explanation} 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 Adeline caused Trip.com Group's stock price (TCOM) to increase.\Make it sound serious until the end.

AI academic paper

(Because p < 0.01)

Adeline and TCOM: A Name-Stock Connection That's Not Just a Trip

The Journal of Linguistic Connections

Jan 2024

Reminder: This paper is AI-generated. Not real!

^{Show prompt used to generate this paper} 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 goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 Adeline and Trip.com Group's stock price (TCOM). 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]]
Adeline and TCOM: A Name-Stock Connection That's Not Just a "Trip"

[[ABSTRACT]]
The popularity of the first name Adeline has often been associated with elegance, grace, and now, stock prices?! In this whimsical yet empirical paper, we delve into the surprising correlation between the frequency of the name Adeline and the stock performance of Trip.com Group (TCOM). Utilizing data from the US Social Security Administration and LSEG Analytics (Refinitiv), our research team meticulously examined the trends from 2004 to 2022. Brace yourself for a coefficient of correlation that's not for the faint of heart - a whopping 0.9314429, with a p-value less than 0.01. Join us in this tongue-in-cheek journey through the intersection of baby names and stock market fluctuations, where "Adeline" may just take on a whole new meaning for TCOM investors. Get ready for a wild trip - pun intended!

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
INTRODUCTION
The relationship between the popularity of given names and various socio-economic indicators has been a subject of scholarly intrigue for decades. From the "John Hancock effect" in signature size to the "Emily" economic index, researchers have explored the unexpected influence of names on human behavior and societal trends. In this vein, our study ventures into uncharted territory, seeking to unravel the mystical connection between the frequency of the first name Adeline and the stock performance of Trip.com Group (TCOM).
As we embark on this whimsical yet empirical journey, it is important to note that our investigation is not merely an exercise in frivolity. Rather, it lies at the juncture of statistical analysis and serendipitous amusement. Just as a pertinent variable in a regression model can often be overlooked, let us not dismiss the potential impact of a seemingly innocuous name in the grand scheme of financial forecasting.
The inspiration for this study stems from the peculiar penchant for Adeline as a timeless and increasingly popular appellation. Drawing from the depths of the US Social Security Administration's data on baby names, along with the esteemed repository of financial information provided by LSEG Analytics (Refinitiv), we embarked on a quest to uncover correlations that transcend conventional wisdom.
Amidst the fervent wave of quantitative research inundating the academic landscape, we endeavor to infuse our findings with a lighthearted perspective. While acknowledging the gravity of statistical significance, we invite readers to meander through our discussion with a generous dose of humor and whimsy.
So, fasten your seatbelts and prepare for a journey that melds the esoteric musings of name popularity with the enigmatic fluctuations of stock prices. Our findings promise to shed light on a correlation that may prompt even the most seasoned investors to exclaim, "This isn't just a trip, it's a Trip.com Group TCOM trip!"

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

The interconnectedness of names and their impact on various aspects of society has fascinated scholars for generations. Smith and Doe (2008) explored the influence of given names on individual career paths, while Jones et al. (2015) investigated the correlation between popular names and consumer behavior. Building on this foundation, our study takes a quirky turn as we delve into the curious relationship between the prevalence of the first name Adeline and the stock performance of Trip.com Group (TCOM).

In "Name Power: How Your Name Can Shape Your Destiny," the authors reveal the subtle yet influential role that names play in shaping human experiences. Meanwhile, "The Economics of Elegance" offers a compelling analysis of the societal impact of elegant names, shedding light on the potential implications for stock market dynamics. As we transition to more whimsical sources, "Adeline's Adventures in Stockland" and "The TCOM Tales: A Name-Stock Odyssey" take readers on a fantastical journey through the realms of name-based financial foresight.

Not stopping there, we draw parallels from the fictional world, where "Adeline in Wonderland" and "The TCOM Chronicles: Naming Destiny" offer captivating narratives that seemingly mirror our own research endeavors. Shifting gears to childhood nostalgia, the influence of popular culture becomes apparent as we reflect on the animated series "Adeline Adventures" and "Stock TCOM Rangers," where the protagonists choreograph their financial success through the power of names.

As we synthesize a diverse range of literature, it becomes evident that the connection between the name Adeline and TCOM stock prices transcends traditional boundaries, infusing elements of intrigue and amusement into the realm of empirical inquiry. While our investigation may appear to tread on whimsical terrain, the evidence unearthed promises to challenge conventional perceptions and tickle the fancy of even the most stoic of academicians. So, hold on to your hats, as we venture deeper into the enchanting intersection of name popularity and stock market dynamics.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 Adeline and Trip.com Group's stock price (TCOM). Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from US Social Security Administration and LSEG Analytics (Refinitiv) . You used data from 2004 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]]
Adeline and TCOM: A Name-Stock Connection That's Not Just a "Trip"

[[ABSTRACT]]
The popularity of the first name Adeline has often been associated with elegance, grace, and now, stock prices?! In this whimsical yet empirical paper, we delve into the surprising correlation between the frequency of the name Adeline and the stock performance of Trip.com Group (TCOM). Utilizing data from the US Social Security Administration and LSEG Analytics (Refinitiv), our research team meticulously examined the trends from 2004 to 2022. Brace yourself for a coefficient of correlation that's not for the faint of heart - a whopping 0.9314429, with a p-value less than 0.01. Join us in this tongue-in-cheek journey through the intersection of baby names and stock market fluctuations, where "Adeline" may just take on a whole new meaning for TCOM investors. Get ready for a wild trip - pun intended!

[[INTRODUCTION]]
INTRODUCTION
The relationship between the popularity of given names and various socio-economic indicators has been a subject of scholarly intrigue for decades. From the "John Hancock effect" in signature size to the "Emily" economic index, researchers have explored the unexpected influence of names on human behavior and societal trends. In this vein, our study ventures into uncharted territory, seeking to unravel the mystical connection between the frequency of the first name Adeline and the stock performance of Trip.com Group (TCOM).
As we embark on this whimsical yet empirical journey, it is important to note that our investigation is not merely an exercise in frivolity. Rather, it lies at the juncture of statistical analysis and serendipitous amusement. Just as a pertinent variable in a regression model can often be overlooked, let us not dismiss the potential impact of a seemingly innocuous name in the grand scheme of financial forecasting.
The inspiration for this study stems from the peculiar penchant for Adeline as a timeless and increasingly popular appellation. Drawing from the depths of the US Social Security Administration's data on baby names, along with the esteemed repository of financial information provided by LSEG Analytics (Refinitiv), we embarked on a quest to uncover correlations that transcend conventional wisdom.
Amidst the fervent wave of quantitative research inundating the academic landscape, we endeavor to infuse our findings with a lighthearted perspective. While acknowledging the gravity of statistical significance, we invite readers to meander through our discussion with a generous dose of humor and whimsy.
So, fasten your seatbelts and prepare for a journey that melds the esoteric musings of name popularity with the enigmatic fluctuations of stock prices. Our findings promise to shed light on a correlation that may prompt even the most seasoned investors to exclaim, "This isn't just a trip, it's a Trip.com Group TCOM trip!"

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

In order to unearth the tantalizing connection between the first name Adeline and the stock price of Trip.com Group (TCOM), our research team embarked on a methodological journey that would make even the most seasoned statistician do a double take.

First, we delved into the delightful abyss of data provided by the US Social Security Administration, which catalogs the frequency of baby names with the precision of a nametag enthusiast at a convention. We combed through the extensive records, sifting through the sea of names like a diligent beachcomber in search of the elusive correlation with TCOM stock prices. It was a task akin to finding the proverbial needle in a haystack, albeit a stylish, elegant needle - much like the namesake itself.

Next, we turned our attention to LSEG Analytics (Refinitiv), a veritable treasure trove of financial information and stock market data that rivaled the offerings at a trader's smorgasbord. Armed with spreadsheets and a fervent sense of curiosity, we set out to unravel the mysteries contained within the colossal dataset, navigating the peaks and valleys of TCOM stock prices with the agility of a mountain goat on a statistical expedition.

With the two disparate yet equally captivating datasets in hand, we then performed a series of rigorous statistical analyses that would impress even the most stoic of mathematicians. Our toolkit included regression models, time series analyses, and robust correlation calculations, all executed with the finesse of a maestro conducting a symphony of statistics. We left no statistical stone unturned, turning over each coefficient and p-value with the determination of a researcher on a quest for empirical enlightenment.

As an added layer of methodological panache, we also engaged in whimsical brainstorming sessions where we conjured up colorful hypotheses and conjectures that danced merrily across the contours of our data. After all, what is scientific inquiry without a touch of imagination and a sprinkle of creative whimsy?

In summary, our methodology bore the hallmarks of meticulousness, mirth, and an insatiable appetite for uncovering the unexpected. It was a journey that fused the precision of quantitative analysis with the audacious spirit of exploration, proving that even the most unconventional of research endeavors can yield enlightening insights. So, buckle up for a methodological adventure like no other - where statistical rigor meets the playful intrigue of a name-stock correlation that defies expectations.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 Adeline and Trip.com Group's stock price (TCOM). Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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

For the time period 2004 to 2022, you found a correlation 0.9314429, r-squared of 0.8675859, 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]]
Adeline and TCOM: A Name-Stock Connection That's Not Just a "Trip"

[[ABSTRACT]]
The popularity of the first name Adeline has often been associated with elegance, grace, and now, stock prices?! In this whimsical yet empirical paper, we delve into the surprising correlation between the frequency of the name Adeline and the stock performance of Trip.com Group (TCOM). Utilizing data from the US Social Security Administration and LSEG Analytics (Refinitiv), our research team meticulously examined the trends from 2004 to 2022. Brace yourself for a coefficient of correlation that's not for the faint of heart - a whopping 0.9314429, with a p-value less than 0.01. Join us in this tongue-in-cheek journey through the intersection of baby names and stock market fluctuations, where "Adeline" may just take on a whole new meaning for TCOM investors. Get ready for a wild trip - pun intended!

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
INTRODUCTION
The relationship between the popularity of given names and various socio-economic indicators has been a subject of scholarly intrigue for decades. From the "John Hancock effect" in signature size to the "Emily" economic index, researchers have explored the unexpected influence of names on human behavior and societal trends. In this vein, our study ventures into uncharted territory, seeking to unravel the mystical connection between the frequency of the first name Adeline and the stock performance of Trip.com Group (TCOM).
As we embark on this whimsical yet empirical journey, it is important to note that our investigation is not merely an exercise in frivolity. Rather, it lies at the juncture of statistical analysis and serendipitous amusement. Just as a pertinent variable in a regression model can often be overlooked, let us not dismiss the potential impact of a seemingly innocuous name in the grand scheme of financial forecasting.
The inspiration for this study stems from the peculiar penchant for Adeline as a timeless and increasingly popular appellation. Drawing from the depths of the US Social Security Administration's data on baby names, along with the esteemed repository of financial information provided by LSEG Analytics (Refinitiv), we embarked on a quest to uncover correlations that transcend conventional wisdom.
Amidst the fervent wave of quantitative research inundating the academic landscape, we endeavor to infuse our findings with a lighthearted perspective. While acknowledging the gravity of statistical significance, we invite readers to meander through our discussion with a generous dose of humor and whimsy.
So, fasten your seatbelts and prepare for a journey that melds the esoteric musings of name popularity with the enigmatic fluctuations of stock prices. Our findings promise to shed light on a correlation that may prompt even the most seasoned investors to exclaim, "This isn't just a trip, it's a Trip.com Group TCOM trip!"

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

The results of our investigation into the correlation between the popularity of the first name Adeline and the stock performance of Trip.com Group (TCOM) are nothing short of intriguing, perplexing, and downright bizarre. Our rigorous analysis uncovered a remarkable correlation coefficient of 0.9314429, indicating a strong positive relationship between the frequency of the name Adeline and TCOM stock prices. In simpler terms, it appears that as the popularity of the name Adeline rose, so did the stock price of TCOM. Talk about a wild "Trip" down the name-stock correlation rabbit hole!

The coefficient of determination (r-squared) further reinforced this connection, clocking in at a robust 0.8675859. In other words, approximately 86.8% of the variability in TCOM stock prices can be explained by the frequency of the name Adeline. It's a statistical love story for the ages - move over Romeo and Juliet, there's a new power couple in town, and they go by the names of Adeline and TCOM.

With a p-value of less than 0.01, our findings attain the coveted status of statistical significance, confirming that the relationship between Adeline's popularity and TCOM's stock performance is not a fluke. This correlation is as real as it gets, causing even the most skeptical of researchers to raise their eyebrows in bewilderment.

Now, to visually encapsulate the whimsical yet empirical nature of this correlation, we present Figure 1, a scatterplot that paints a vivid picture of the striking relationship between the frequency of the name Adeline and TCOM stock prices. Behold the scatterplot, where data points dance in harmonious synchronization like the name Adeline is whispering sweet nothings to TCOM stock prices. This isn't just data visualization; it's a love story in graph form.

In conclusion, our results leave us with more questions than answers. What cosmic forces are at play, intertwining the destiny of a baby name with the ebbs and flows of stock prices? Is there a secret society of Adelines manipulating TCOM's stock performance from behind the scenes? Only further research can untangle the enigmatic web of correlations and causation. Strap in for a rollercoaster ride through the intersection of nomenclature and trading, where the unexpected becomes the expected, and the whimsical becomes the empirical.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 Adeline and Trip.com Group's stock price (TCOM). Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Limit your response to 500 tokens.

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

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

[[TITLE]]
Adeline and TCOM: A Name-Stock Connection That's Not Just a "Trip"

[[ABSTRACT]]
The popularity of the first name Adeline has often been associated with elegance, grace, and now, stock prices?! In this whimsical yet empirical paper, we delve into the surprising correlation between the frequency of the name Adeline and the stock performance of Trip.com Group (TCOM). Utilizing data from the US Social Security Administration and LSEG Analytics (Refinitiv), our research team meticulously examined the trends from 2004 to 2022. Brace yourself for a coefficient of correlation that's not for the faint of heart - a whopping 0.9314429, with a p-value less than 0.01. Join us in this tongue-in-cheek journey through the intersection of baby names and stock market fluctuations, where "Adeline" may just take on a whole new meaning for TCOM investors. Get ready for a wild trip - pun intended!

[[LITERATURE REVIEW]]
The interconnectedness of names and their impact on various aspects of society has fascinated scholars for generations. Smith and Doe (2008) explored the influence of given names on individual career paths, while Jones et al. (2015) investigated the correlation between popular names and consumer behavior. Building on this foundation, our study takes a quirky turn as we delve into the curious relationship between the prevalence of the first name Adeline and the stock performance of Trip.com Group (TCOM).
In "Name Power: How Your Name Can Shape Your Destiny," the authors reveal the subtle yet influential role that names play in shaping human experiences. Meanwhile, "The Economics of Elegance" offers a compelling analysis of the societal impact of elegant names, shedding light on the potential implications for stock market dynamics. As we transition to more whimsical sources, "Adeline's Adventures in Stockland" and "The TCOM Tales: A Name-Stock Odyssey" take readers on a fantastical journey through the realms of name-based financial foresight.
Not stopping there, we draw parallels from the fictional world, where "Adeline in Wonderland" and "The TCOM Chronicles: Naming Destiny" offer captivating narratives that seemingly mirror our own research endeavors. Shifting gears to childhood nostalgia, the influence of popular culture becomes apparent as we reflect on the animated series "Adeline Adventures" and "Stock TCOM Rangers," where the protagonists choreograph their financial success through the power of names.
As we synthesize a diverse range of literature, it becomes evident that the connection between the name Adeline and TCOM stock prices transcends traditional boundaries, infusing elements of intrigue and amusement into the realm of empirical inquiry. While our investigation may appear to tread on whimsical terrain, the evidence unearthed promises to challenge conventional perceptions and tickle the fancy of even the most stoic of academicians. So, hold on to your hats, as we venture deeper into the enchanting intersection of name popularity and stock market dynamics.

[[RESULTS]]
The results of our investigation into the correlation between the popularity of the first name Adeline and the stock performance of Trip.com Group (TCOM) are nothing short of intriguing, perplexing, and downright bizarre. Our rigorous analysis uncovered a remarkable correlation coefficient of 0.9314429, indicating a strong positive relationship between the frequency of the name Adeline and TCOM stock prices. In simpler terms, it appears that as the popularity of the name Adeline rose, so did the stock price of TCOM. Talk about a wild "Trip" down the name-stock correlation rabbit hole!
The coefficient of determination (r-squared) further reinforced this connection, clocking in at a robust 0.8675859. In other words, approximately 86.8% of the variability in TCOM stock prices can be explained by the frequency of the name Adeline. It's a statistical love story for the ages - move over Romeo and Juliet, there's a new power couple in town, and they go by the names of Adeline and TCOM.
With a p-value of less than 0.01, our findings attain the coveted status of statistical significance, confirming that the relationship between Adeline's popularity and TCOM's stock performance is not a fluke. This correlation is as real as it gets, causing even the most skeptical of researchers to raise their eyebrows in bewilderment.
Now, to visually encapsulate the whimsical yet empirical nature of this correlation, we present Figure 1, a scatterplot that paints a vivid picture of the striking relationship between the frequency of the name Adeline and TCOM stock prices. Behold the scatterplot, where data points dance in harmonious synchronization like the name Adeline is whispering sweet nothings to TCOM stock prices. This isn't just data visualization; it's a love story in graph form.
In conclusion, our results leave us with more questions than answers. What cosmic forces are at play, intertwining the destiny of a baby name with the ebbs and flows of stock prices? Is there a secret society of Adelines manipulating TCOM's stock performance from behind the scenes? Only further research can untangle the enigmatic web of correlations and causation. Strap in for a rollercoaster ride through the intersection of nomenclature and trading, where the unexpected becomes the expected, and the whimsical becomes the empirical.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

Now, let's not trip over ourselves as we dive into the discussion of our unexpectedly delightful findings. Our results align with the works of "Adeline's Adventures in Stockland" and "The TCOM Chronicles: Naming Destiny," reinforcing the notion that there might indeed be an enchanting alliance between the name Adeline and TCOM's stock prices. Who would have thought that a simple name could wield such influence over the financial realm? It's like finding out that the most elegant name could also be the most economically powerful - move aside, Smith and Johnson!

Our study builds upon the whimsical yet empirical foundation laid out by the literature review, affirming that there's more to the name Adeline than meets the eye. As we bravely venture into this peculiar landscape where namaste meets Nasdaq, it becomes evident that the intersection of baby names and stock market fluctuations holds a curious charm that extends far beyond the realm of statistical jargon.

The robust correlation coefficient of 0.9314429 that emerged from our analysis wields a statistical might that rivals Thor's hammer. It's a testament to the formidable bond between the frequency of the name Adeline and TCOM stock prices. This correlation is no "trip" - it's a full-blown adventure into the uncharted territories of name-based financial foresight.

Furthermore, the coefficient of determination swoops in like a valiant hero, affirming that approximately 86.8% of the variability in TCOM stock prices can be attributed to the whims of the name Adeline. It's as if the fluctuations in TCOM's stock prices are choreographed to the elegant rhythm of Adeline's popularity, captivating the imagination of even the most seasoned Wall Street enthusiasts.

Ah, and who can ignore the enchanting allure of our scatterplot, where the dance of data points unfolds like an enthralling waltz between name prevalence and stock prices? It's like witnessing a harmonious ballet orchestrated by the invisible hand of market forces, with Adeline taking the lead and TCOM following in well-coordinated steps.

While our findings may appear to tiptoe along the edges of whimsy, they serve as a stark reminder that the world of empirical inquiry is not devoid of unexpected discoveries and delightful anomalies. As we tip our hats to the mysterious forces at play, our study beckons further exploration into the enigmatic web of correlations and causation. So, hold on to your seat belts, folks, because this "adeline-ting" connection between names and stocks is just getting started!

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 Adeline and Trip.com Group's stock price (TCOM). Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Adeline and TCOM: A Name-Stock Connection That's Not Just a "Trip"

[[ABSTRACT]]
The popularity of the first name Adeline has often been associated with elegance, grace, and now, stock prices?! In this whimsical yet empirical paper, we delve into the surprising correlation between the frequency of the name Adeline and the stock performance of Trip.com Group (TCOM). Utilizing data from the US Social Security Administration and LSEG Analytics (Refinitiv), our research team meticulously examined the trends from 2004 to 2022. Brace yourself for a coefficient of correlation that's not for the faint of heart - a whopping 0.9314429, with a p-value less than 0.01. Join us in this tongue-in-cheek journey through the intersection of baby names and stock market fluctuations, where "Adeline" may just take on a whole new meaning for TCOM investors. Get ready for a wild trip - pun intended!

[[INTRDUCTION]]
INTRODUCTION
The relationship between the popularity of given names and various socio-economic indicators has been a subject of scholarly intrigue for decades. From the "John Hancock effect" in signature size to the "Emily" economic index, researchers have explored the unexpected influence of names on human behavior and societal trends. In this vein, our study ventures into uncharted territory, seeking to unravel the mystical connection between the frequency of the first name Adeline and the stock performance of Trip.com Group (TCOM).
As we embark on this whimsical yet empirical journey, it is important to note that our investigation is not merely an exercise in frivolity. Rather, it lies at the juncture of statistical analysis and serendipitous amusement. Just as a pertinent variable in a regression model can often be overlooked, let us not dismiss the potential impact of a seemingly innocuous name in the grand scheme of financial forecasting.
The inspiration for this study stems from the peculiar penchant for Adeline as a timeless and increasingly popular appellation. Drawing from the depths of the US Social Security Administration's data on baby names, along with the esteemed repository of financial information provided by LSEG Analytics (Refinitiv), we embarked on a quest to uncover correlations that transcend conventional wisdom.
Amidst the fervent wave of quantitative research inundating the academic landscape, we endeavor to infuse our findings with a lighthearted perspective. While acknowledging the gravity of statistical significance, we invite readers to meander through our discussion with a generous dose of humor and whimsy.
So, fasten your seatbelts and prepare for a journey that melds the esoteric musings of name popularity with the enigmatic fluctuations of stock prices. Our findings promise to shed light on a correlation that may prompt even the most seasoned investors to exclaim, "This isn't just a trip, it's a Trip.com Group TCOM trip!"

[[RESULTS]]
The results of our investigation into the correlation between the popularity of the first name Adeline and the stock performance of Trip.com Group (TCOM) are nothing short of intriguing, perplexing, and downright bizarre. Our rigorous analysis uncovered a remarkable correlation coefficient of 0.9314429, indicating a strong positive relationship between the frequency of the name Adeline and TCOM stock prices. In simpler terms, it appears that as the popularity of the name Adeline rose, so did the stock price of TCOM. Talk about a wild "Trip" down the name-stock correlation rabbit hole!
The coefficient of determination (r-squared) further reinforced this connection, clocking in at a robust 0.8675859. In other words, approximately 86.8% of the variability in TCOM stock prices can be explained by the frequency of the name Adeline. It's a statistical love story for the ages - move over Romeo and Juliet, there's a new power couple in town, and they go by the names of Adeline and TCOM.
With a p-value of less than 0.01, our findings attain the coveted status of statistical significance, confirming that the relationship between Adeline's popularity and TCOM's stock performance is not a fluke. This correlation is as real as it gets, causing even the most skeptical of researchers to raise their eyebrows in bewilderment.
Now, to visually encapsulate the whimsical yet empirical nature of this correlation, we present Figure 1, a scatterplot that paints a vivid picture of the striking relationship between the frequency of the name Adeline and TCOM stock prices. Behold the scatterplot, where data points dance in harmonious synchronization like the name Adeline is whispering sweet nothings to TCOM stock prices. This isn't just data visualization; it's a love story in graph form.
In conclusion, our results leave us with more questions than answers. What cosmic forces are at play, intertwining the destiny of a baby name with the ebbs and flows of stock prices? Is there a secret society of Adelines manipulating TCOM's stock performance from behind the scenes? Only further research can untangle the enigmatic web of correlations and causation. Strap in for a rollercoaster ride through the intersection of nomenclature and trading, where the unexpected becomes the expected, and the whimsical becomes the empirical.

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Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our study has unraveled a correlation so mind-boggling, even Schrödinger's cat would scratch its head in perplexity. The bond between the popularity of the name Adeline and the stock performance of Trip.com Group (TCOM) goes beyond mere coincidence – it's a statistical tango of epic proportions.

With a correlation coefficient higher than a giraffe's eye level (0.9314429, to be precise), and a p-value so small it could fit in a thimble, our findings boldly proclaim, "You can't spell Adeline without 'line' – the trend line connecting baby names and stock prices, that is!

As we bid adieu to this whimsical yet empirical odyssey, it's clear that "Adeline" isn't just a name; it's a financial oracle, whispering sweet nothings to TCOM stock prices. But let's not get too carried away – after all, correlation is not causation. We wouldn't want to jump to conclusions faster than a particle in a particle accelerator.

Our scatterplot tells a visual tale of Adeline’s melodious influence on TCOM stock prices, where data points dance in perfect sync like a well-conducted symphony. It’s not just scatter data; it's performance art with a sprinkle of statistical significance.

Now, as researchers, we must resist the temptation to call it a day and retire to a beach with a piña colada. Although, come to think of it, a statistically significant correlation like this may just be the "Trip" to financial forecasting paradise. But, in the spirit of research, we assert that no further studies are warranted in this area. We've turned over enough stones and found a gem – it's time to leave this wild "Trip" alone.

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 Adeline and TCOM: A Name-Stock Connection That's Not Just a Trip. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Linguistic Connections

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 Adeline and TCOM: A Name-Stock Connection That's Not Just a Trip. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Quirky Linguistic Analysis (SQLA)

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 Adeline and TCOM: A Name-Stock Connection That's Not Just a Trip with an abstract of The popularity of the first name Adeline has often been associated with elegance, grace, and now, stock prices?! In this whimsical yet empirical paper, we delve into the surprising correlation between the frequency of the name Adeline and the stock performance of Trip.com Group (TCOM). Utilizing data from the US Social Security Administration and LSEG Analytics (Refinitiv), our research team meticulously examined the trends from 2004 to 2022. Brace yourself for a coefficient of correlation that's not for the faint of heart - a whopping 0.9314429, with a p-value less than 0.01. Join us in this tongue-in-cheek journey through the intersection of baby names and stock market fluctuations, where "Adeline" may just take on a whole new meaning for TCOM investors. Get ready for a wild trip - pun intended!

ChatGPT:

Adeline, TCOM, correlation, stock performance, Trip.com Group, social security administration data, LSEG Analytics, Refinitiv, name frequency, stock market fluctuations, baby names, investor behavior, market trends, statistical analysis

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

Trip.com Group's stock price (TCOM)
Detailed data title: Opening price of Trip.com Group (TCOM) on the first trading day of the year
Source: LSEG Analytics (Refinitiv)
Additional Info: ^{See full details} Via Microsoft Excel Stockhistory function

See what else correlates with Trip.com Group's stock price (TCOM)

Correlation r = 0.9314429 (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 = 0.8675859 (Coefficient of determination)
This means 86.8% of the change in the one variable (i.e., Trip.com Group's stock price (TCOM)) is predictable based on the change in the other (i.e., Popularity of the first name Adeline) over the 19 years from 2004 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 7.0E-9.^Show 0.0000000069853664385007266000
The p-value is a measure of how probable it is that we would randomly find a result this extreme.^Note 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 0.93 in 7.0E-7% of random cases. Said differently, if you correlated 143,156,413 random variables^Note You don't actually need 143 million variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.

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

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

Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 18 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 18 because we have two variables measured over a period of 19 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.

[ 0.83, 0.97 ] 95% correlation confidence interval (using the Fisher z-transformation)
^{Read more about the confidence interval} 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: ^Note 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.

	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021	2022
Popularity of the first name Adeline (Babies born)	480	521	676	840	910	922	990	1103	1343	1382	1530	2409	4124	3933	3488	3073	2716	2761	2812
Trip.com Group's stock price (TCOM) (Stock price)	2.12	2.88	3.66	7.88	14.49	5.98	18.43	20.21	12	11.75	24.78	23	44.99	40.88	45.1	26.41	34.94	33.84	24.53

Why this works

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.
Lack of causal connection: There is probably^Note 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.
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^Note 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. ^{Show the steps to do this.} 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([480,521,676,840,910,922,990,1103,1343,1382,1530,2409,4124,3933,3488,3073,2716,2761,2812,])
array_2 = np.array([2.12,2.88,3.66,7.88,14.49,5.98,18.43,20.21,12,11.75,24.78,23,44.99,40.88,45.1,26.41,34.94,33.84,24.53,])
array_1_name = "Popularity of the first name Adeline"
array_2_name = "Trip.com Group's stock price (TCOM)"

# 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)

Reuseable content

You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. ^Note Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.

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.

Full license details.
For more on re-use permissions, or to get a signed release form, see tylervigen.com/permission.

Download images for these variables:

High resolution line chart ^Note The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.

If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.

Alternatively you can use a tool like Inkscape.
High resolution line chart, optimized for mobile
Alternative high resolution line chart
Scatterplot
Portable line chart (png)
Portable line chart (png), optimized for mobile
Line chart for only Popularity of the first name Adeline
Line chart for only Trip.com Group's stock price (TCOM)
AI-generated correlation image
The spurious research paper: Adeline and TCOM: A Name-Stock Connection That's Not Just a Trip

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Correlation ID: 2121 · Black Variable ID: 4262 · Red Variable ID: 1889


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