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Spurious correlation #5,733 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is How good SmarterEveryDay YouTube video titles are and the second variable is Fomento Econ's stock price (FMX).  The chart goes from 2007 to 2023, and the two variables track closely in value over that time. Small Image
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AI explanation

As SmarterEveryDay video titles get more engaging, people spend more time watching and learning. This leads to an increase in innovative thinking and problem-solving abilities among the population. With everyone's newfound genius, productivity soars, driving up the demand for Fomento Econ's products. As Fomento Econ's stock price skyrockets, they may just rename themselves "Fomento Eureka"!

Model: dalle-3
Prompt: Generate an image of a stock market graph quickly ascending upwards, with the y-axis representing Fomento Econ's stock price (FMX) and the x-axis showing time. Beside the graph, visualize a series of SmarterEveryDay YouTube video titles, each one becoming more engaging, drawing in a growing number of viewers. Show people watching these captivating videos, their faces lighting up with interest and excitement as their minds become filled with newfound knowledge and inspiration. The scene should be bustling with people, eagerly discussing and sharing innovative ideas, creating a palpable sense of energy and creativity in the air. This surge of intellectual activity should be directly contributing to the exponential rise in Fomento Econ's stock price, solidifying its position as a leading force in the market. 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: How good SmarterEveryDay YouTube video titles are and Fomento Econ's stock price (FMX). 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: Scalar art a funny image you would see on reddit Concept art Voxel art Surrealism
ChatGPT: a funny image you would see on reddit

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 How good SmarterEveryDay YouTube video titles are and Fomento Econ's stock price (FMX), in the following situation: As SmarterEveryDay video titles get more engaging, people spend more time watching and learning. This leads to an increase in innovative thinking and problem-solving abilities among the population. With everyone's newfound genius, productivity soars, driving up the demand for Fomento Econ's products. As Fomento Econ's stock price skyrockets, they may just rename themselves "Fomento Eureka"!. Keep the description simple.
ChatGPT: In the visual scene, we see a graph representing Fomento Econ's stock price (FMX) rapidly ascending upwards, creating an impressive spike on the chart. Alongside it, we see a series of SmarterEveryDay YouTube video titles, each one more engaging than the last, attracting a growing number of viewers. As people watch these captivating videos, their faces light up with interest and excitement, their minds becoming filled with newfound knowledge and inspiration. The scene is bustling with people eagerly discussing and sharing innovative ideas, and the energy of creativity is palpable in the air. This surge of intellectual activity is directly contributing to the exponential rise in Fomento Econ's stock price, solidifying its foothold as a leading force in the market.

Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ a funny image you would see on reddit ] and depicting this scene: In the visual scene, we see a graph representing Fomento Econ's stock price (FMX) rapidly ascending upwards, creating an impressive spike on the chart. Alongside it, we see a series of SmarterEveryDay YouTube video titles, each one more engaging than the last, attracting a growing number of viewers. As people watch these captivating videos, their faces light up with interest and excitement, their minds becoming filled with newfound knowledge and inspiration. The scene is bustling with people eagerly discussing and sharing innovative ideas, and the energy of creativity is palpable in the air. This surge of intellectual activity is directly contributing to the exponential rise in Fomento Econ's stock price, solidifying its foothold as a leading force in the market. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a stock market graph quickly ascending upwards, with the y-axis representing Fomento Econ's stock price (FMX) and the x-axis showing time. Beside the graph, visualize a series of SmarterEveryDay YouTube video titles, each one becoming more engaging, drawing in a growing number of viewers. Show people watching these captivating videos, their faces lighting up with interest and excitement as their minds become filled with newfound knowledge and inspiration. The scene should be bustling with people, eagerly discussing and sharing innovative ideas, creating a palpable sense of energy and creativity in the air. This surge of intellectual activity should be directly contributing to the exponential rise in Fomento Econ's stock price, solidifying its position as a leading force in the market.

*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 How good SmarterEveryDay YouTube video titles are caused Fomento Econ's stock price (FMX) to increase. Make it feel plausible.

AI academic paper

(Because p < 0.01)
Stock Price Growth: A SmarterEveryDay Connection

The Journal of Financial Quirkiness

Jan 2024

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




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

Please draft the title and abstract of an academic research paper presenting the findings of the connection between How good SmarterEveryDay YouTube video titles are and Fomento Econ's stock price (FMX). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Make the title a clever pun.

Your research team used data from AI analysis of YouTube video titles and LSEG Analytics (Refinitiv) to assess this nagging question. You found a correlation coefficient of 0.9196948 and p < 0.01 for 2007 to 2023.

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]]
"Stock Price Growth: A SmarterEveryDay Connection"

[[ABSTRACT]]
This paper presents a thorough investigation into the relationship between the quality of SmarterEveryDay's YouTube video titles and the stock price of Fomento Econ (FMX). Our research team employed cutting-edge AI analysis of YouTube video titles and leveraged LSEG Analytics (Refinitiv) data to explore this enigmatic connection. The findings reveal a correlation coefficient of 0.9196948 with a significance level of p < 0.01 for the period spanning from 2007 to 2023.

In analyzing the impact of SmarterEveryDay's video titles on FMX stock prices, we discovered a striking correlation that's bound to make economists and YouTube enthusiasts alike sit up and take notice. This study delves deep into the interplay between captivating video titles and the financial world, leaving us with a dad joke-worthy nugget of wisdom: "Why did the economist watch SmarterEveryDay videos? For the stock tips and a good laugh!"

Furthermore, the results shed light on the intriguing dynamics between online content and market performance, prompting us to ponder whether the stock market has a penchant for witty and thought-provoking video titles. The implications of these findings are as significant as they are amusing, leaving us with a new maxim to consider: "A catchy video title a day keeps the stock woes at bay!"


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

Please make up the introduction section of an academic research paper presenting the findings of the connection between How good SmarterEveryDay YouTube video titles are and Fomento Econ's stock price (FMX). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Here is the title and abstract of the paper:
[[TITLE]]
"Stock Price Growth: A SmarterEveryDay Connection"

[[ABSTRACT]]
This paper presents a thorough investigation into the relationship between the quality of SmarterEveryDay's YouTube video titles and the stock price of Fomento Econ (FMX). Our research team employed cutting-edge AI analysis of YouTube video titles and leveraged LSEG Analytics (Refinitiv) data to explore this enigmatic connection. The findings reveal a correlation coefficient of 0.9196948 with a significance level of p < 0.01 for the period spanning from 2007 to 2023.

In analyzing the impact of SmarterEveryDay's video titles on FMX stock prices, we discovered a striking correlation that's bound to make economists and YouTube enthusiasts alike sit up and take notice. This study delves deep into the interplay between captivating video titles and the financial world, leaving us with a dad joke-worthy nugget of wisdom: "Why did the economist watch SmarterEveryDay videos? For the stock tips and a good laugh!"

Furthermore, the results shed light on the intriguing dynamics between online content and market performance, prompting us to ponder whether the stock market has a penchant for witty and thought-provoking video titles. The implications of these findings are as significant as they are amusing, leaving us with a new maxim to consider: "A catchy video title a day keeps the stock woes at bay!"

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

Ah, the enigmatic dance between online content and market performance. It's a phenomenon that has captivated researchers and investors alike, sparking countless debates and more than a few head scratches. Today, we embark on a quest to unravel this mystery, exploring the fascinating relationship between the quality of SmarterEveryDay's YouTube video titles and the stock price of Fomento Econ (FMX). Hold on to your lab coats, folks, because this investigation promises to be a wild ride that's as riveting as a rollercoaster and as unpredictable as stock prices themselves.

As we dive into the intersection of YouTube charisma and financial fortitude, we can't help but ponder the age-old question: "Why did the economist watch SmarterEveryDay videos? For the stock tips and a good laugh!" Yes, dear reader, you heard that right. This academic pursuit isn't all number crunching and data analysis; there's a healthy dose of humor in the mix, courtesy of some good old-fashioned dad jokes. After all, laughter is the best medicine, especially when dealing with the complexities of the stock market.

Our study leveraged cutting-edge AI analysis of YouTube video titles to gauge their appeal and impact. With meticulous attention to detail, we delved into the captivating world of SmarterEveryDay's video titles, uncovering nuggets of wisdom and laughter along the way. The interplay between captivating video titles and the financial world didn't just pique our interest; it left us with a new maxim to ponder: "A catchy video title a day keeps the stock woes at bay!" Who knew that a clever play on words could hold the key to market buoyancy?

The results of this investigation aren't just thought-provoking; they're downright surprising. We uncovered a correlation coefficient of 0.9196948 with a significance level of p < 0.01 for the period spanning from 2007 to 2023, leaving us marveling at the unexpected connection between online content and market performance. It's a discovery that's as delightful as a well-timed punchline, and as satisfying as spotting a bullish trend in a sea of market volatility.

So, fasten your seatbelts, dear reader, because we're about to embark on a journey that's equal parts financial analysis and YouTube fascination. As we unpack the impact of SmarterEveryDay's video titles on FMX stock prices, we might just find ourselves reaching for another dad joke to lighten the load. After all, who said research papers can't be peppered with a healthy dose of humor?


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

Please make up a literature review section of an academic research paper presenting the findings of the connection between How good SmarterEveryDay YouTube video titles are and Fomento Econ's stock price (FMX). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name a few real TV shows that sound like they might be relevant to the topic that you watched as research.

Here is the title and abstract of the paper:
[[TITLE]]
"Stock Price Growth: A SmarterEveryDay Connection"

[[ABSTRACT]]
This paper presents a thorough investigation into the relationship between the quality of SmarterEveryDay's YouTube video titles and the stock price of Fomento Econ (FMX). Our research team employed cutting-edge AI analysis of YouTube video titles and leveraged LSEG Analytics (Refinitiv) data to explore this enigmatic connection. The findings reveal a correlation coefficient of 0.9196948 with a significance level of p < 0.01 for the period spanning from 2007 to 2023.

In analyzing the impact of SmarterEveryDay's video titles on FMX stock prices, we discovered a striking correlation that's bound to make economists and YouTube enthusiasts alike sit up and take notice. This study delves deep into the interplay between captivating video titles and the financial world, leaving us with a dad joke-worthy nugget of wisdom: "Why did the economist watch SmarterEveryDay videos? For the stock tips and a good laugh!"

Furthermore, the results shed light on the intriguing dynamics between online content and market performance, prompting us to ponder whether the stock market has a penchant for witty and thought-provoking video titles. The implications of these findings are as significant as they are amusing, leaving us with a new maxim to consider: "A catchy video title a day keeps the stock woes at bay!"

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
Ah, the enigmatic dance between online content and market performance. It's a phenomenon that has captivated researchers and investors alike, sparking countless debates and more than a few head scratches. Today, we embark on a quest to unravel this mystery, exploring the fascinating relationship between the quality of SmarterEveryDay's YouTube video titles and the stock price of Fomento Econ (FMX). Hold on to your lab coats, folks, because this investigation promises to be a wild ride that's as riveting as a rollercoaster and as unpredictable as stock prices themselves.
As we dive into the intersection of YouTube charisma and financial fortitude, we can't help but ponder the age-old question: "Why did the economist watch SmarterEveryDay videos? For the stock tips and a good laugh!" Yes, dear reader, you heard that right. This academic pursuit isn't all number crunching and data analysis; there's a healthy dose of humor in the mix, courtesy of some good old-fashioned dad jokes. After all, laughter is the best medicine, especially when dealing with the complexities of the stock market.
Our study leveraged cutting-edge AI analysis of YouTube video titles to gauge their appeal and impact. With meticulous attention to detail, we delved into the captivating world of SmarterEveryDay's video titles, uncovering nuggets of wisdom and laughter along the way. The interplay between captivating video titles and the financial world didn't just pique our interest; it left us with a new maxim to ponder: "A catchy video title a day keeps the stock woes at bay!" Who knew that a clever play on words could hold the key to market buoyancy?
The results of this investigation aren't just thought-provoking; they're downright surprising. We uncovered a correlation coefficient of 0.9196948 with a significance level of p < 0.01 for the period spanning from 2007 to 2023, leaving us marveling at the unexpected connection between online content and market performance. It's a discovery that's as delightful as a well-timed punchline, and as satisfying as spotting a bullish trend in a sea of market volatility.
So, fasten your seatbelts, dear reader, because we're about to embark on a journey that's equal parts financial analysis and YouTube fascination. As we unpack the impact of SmarterEveryDay's video titles on FMX stock prices, we might just find ourselves reaching for another dad joke to lighten the load. After all, who said research papers can't be peppered with a healthy dose of humor?

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The significance of online content in influencing market behavior has been a subject of increasing interest among scholars and analysts. In "Smith et al.," the authors find that captivating and engaging content may have an impact on consumer sentiment and brand perception, drawing attention to the potential implications for stock prices. However, a comprehensive exploration of the link between YouTube video titles and stock performance has been notably absent from existing literature.

In "Doe and Jones," the authors delve into the dynamics of consumer behavior and its effects on market trends, shedding light on the role of captivating content in shaping consumer preferences. Nevertheless, the specific influence of YouTube video titles on stock price movements remains an uncharted territory, ripe for exploration and analysis.

Turning to non-fiction books related to the topic, "Contagious: How to Build Word of Mouth in the Digital Age" by Jonah Berger provides insightful perspectives on the virality of content and its potential impact on consumer behavior, offering valuable insights into the mechanisms through which captivating video titles may resonate with audiences and drive market interest. Meanwhile, "The Psychology of Persuasion" by Robert B. Cialdini explores the underlying principles of influence and persuasion, offering a nuanced understanding of how compelling content can shape buyer decisions and market dynamics.

In the realm of fiction, "The Hitchhiker's Guide to the Galaxy" by Douglas Adams presents an amusing take on the complexities of the universe, mirroring the unpredictability and whimsical nature of stock price fluctuations. Furthermore, "Catch-22" by Joseph Heller offers a satirical exploration of paradoxes and absurdities, mirroring the often bewildering and contradictory forces at play in the world of stock markets and online content.

As part of our rigorous research methodology, the team diligently binged-watched TV shows to better understand the nature of captivating content. Shows such as "Mad Men" and "The Marvelous Mrs. Maisel" provided valuable insights into the art of crafting attention-grabbing messaging and storytelling, offering a fresh perspective on the potential impact of compelling narratives in shaping market perceptions and consumer engagement. After all, what better way to understand the power of captivating content than to immerse oneself in the world of captivating storytelling?



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

Please make up the methodology section of an academic research paper presenting the findings of the connection between How good SmarterEveryDay YouTube video titles are and Fomento Econ's stock price (FMX). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Your research team collected data from all across the internet, but mostly just used information from AI analysis of YouTube video titles and LSEG Analytics (Refinitiv) . You used data from 2007 to 2023

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]]
"Stock Price Growth: A SmarterEveryDay Connection"

[[ABSTRACT]]
This paper presents a thorough investigation into the relationship between the quality of SmarterEveryDay's YouTube video titles and the stock price of Fomento Econ (FMX). Our research team employed cutting-edge AI analysis of YouTube video titles and leveraged LSEG Analytics (Refinitiv) data to explore this enigmatic connection. The findings reveal a correlation coefficient of 0.9196948 with a significance level of p < 0.01 for the period spanning from 2007 to 2023.

In analyzing the impact of SmarterEveryDay's video titles on FMX stock prices, we discovered a striking correlation that's bound to make economists and YouTube enthusiasts alike sit up and take notice. This study delves deep into the interplay between captivating video titles and the financial world, leaving us with a dad joke-worthy nugget of wisdom: "Why did the economist watch SmarterEveryDay videos? For the stock tips and a good laugh!"

Furthermore, the results shed light on the intriguing dynamics between online content and market performance, prompting us to ponder whether the stock market has a penchant for witty and thought-provoking video titles. The implications of these findings are as significant as they are amusing, leaving us with a new maxim to consider: "A catchy video title a day keeps the stock woes at bay!"

[[INTRODUCTION]]
Ah, the enigmatic dance between online content and market performance. It's a phenomenon that has captivated researchers and investors alike, sparking countless debates and more than a few head scratches. Today, we embark on a quest to unravel this mystery, exploring the fascinating relationship between the quality of SmarterEveryDay's YouTube video titles and the stock price of Fomento Econ (FMX). Hold on to your lab coats, folks, because this investigation promises to be a wild ride that's as riveting as a rollercoaster and as unpredictable as stock prices themselves.
As we dive into the intersection of YouTube charisma and financial fortitude, we can't help but ponder the age-old question: "Why did the economist watch SmarterEveryDay videos? For the stock tips and a good laugh!" Yes, dear reader, you heard that right. This academic pursuit isn't all number crunching and data analysis; there's a healthy dose of humor in the mix, courtesy of some good old-fashioned dad jokes. After all, laughter is the best medicine, especially when dealing with the complexities of the stock market.
Our study leveraged cutting-edge AI analysis of YouTube video titles to gauge their appeal and impact. With meticulous attention to detail, we delved into the captivating world of SmarterEveryDay's video titles, uncovering nuggets of wisdom and laughter along the way. The interplay between captivating video titles and the financial world didn't just pique our interest; it left us with a new maxim to ponder: "A catchy video title a day keeps the stock woes at bay!" Who knew that a clever play on words could hold the key to market buoyancy?
The results of this investigation aren't just thought-provoking; they're downright surprising. We uncovered a correlation coefficient of 0.9196948 with a significance level of p < 0.01 for the period spanning from 2007 to 2023, leaving us marveling at the unexpected connection between online content and market performance. It's a discovery that's as delightful as a well-timed punchline, and as satisfying as spotting a bullish trend in a sea of market volatility.
So, fasten your seatbelts, dear reader, because we're about to embark on a journey that's equal parts financial analysis and YouTube fascination. As we unpack the impact of SmarterEveryDay's video titles on FMX stock prices, we might just find ourselves reaching for another dad joke to lighten the load. After all, who said research papers can't be peppered with a healthy dose of humor?

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To uncover the riveting connection between the quality of SmarterEveryDay's YouTube video titles and the stock price of Fomento Econ (FMX), our research team ventured into uncharted territory with the kind of determination that rivals a bull market. Our methodology was as meticulous as a trader watching a volatile stock, and as comprehensive as an economist analyzing market trends.

First off, we sourced data from a variety of platforms, engaging in what can only be described as a digital treasure hunt. We utilized cutting-edge AI analysis of YouTube video titles, employing algorithms that would make even the savviest tech enthusiast do a double-take. The process was akin to discovering hidden gems in a market filled with fodder, but we persevered with the tenacity of a dachshund sniffing out a buried bone.

Next, we turned to the venerable LSEG Analytics (Refinitiv) to gather the indispensable financial data we needed. Have you ever tried navigating through a sea of market statistics and trends? It's like trying to navigate a maze with walls made of charts and graphs, but our team embraced the challenge with gusto, determined to uncover the elusive link between captivating video titles and market performance.

With the data in hand, we dived into the deep end of statistical analysis, using methods so sophisticated, they'd make a seasoned economist do a double take. We conducted a rigorous correlation analysis spanning from 2007 to 2023, looking for patterns and relationships with the kind of fervor typically reserved for a game of "Where's Waldo" in a sea of data points.

Incorporating AI analysis of YouTube video titles and financial data from LSEG Analytics (Refinitiv), our approach was as unconventional as a bull elk wearing a top hat but yielded results that were as intriguing as they were unexpected. We like to think of it as data science with a twist, and it's clear to us that the connection between online content and market performance is as captivating as it is confounding.

And in the spirit of an academic pursuit that's as eccentric as it is enlightening, here's a dad joke to lighten the analytical load: "Why are economists good at video games? Because they excel at finding the correlation between levels and loot drops!"

So, strap in for a journey through the intricacies of data analysis and the allure of YouTube charisma, because our methodology is as unconventional as a bear on a unicycle, but it's led us to a treasure trove of surprising insights.


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

Please make up the results section of an academic research paper presenting the findings of the connection between How good SmarterEveryDay YouTube video titles are and Fomento Econ's stock price (FMX). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Your research team collected data from all across the internet, but mostly just used information from AI analysis of YouTube video titles and LSEG Analytics (Refinitiv) .

For the time period 2007 to 2023, you found a correlation 0.9196948, r-squared of 0.8458385, 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]]
"Stock Price Growth: A SmarterEveryDay Connection"

[[ABSTRACT]]
This paper presents a thorough investigation into the relationship between the quality of SmarterEveryDay's YouTube video titles and the stock price of Fomento Econ (FMX). Our research team employed cutting-edge AI analysis of YouTube video titles and leveraged LSEG Analytics (Refinitiv) data to explore this enigmatic connection. The findings reveal a correlation coefficient of 0.9196948 with a significance level of p < 0.01 for the period spanning from 2007 to 2023.

In analyzing the impact of SmarterEveryDay's video titles on FMX stock prices, we discovered a striking correlation that's bound to make economists and YouTube enthusiasts alike sit up and take notice. This study delves deep into the interplay between captivating video titles and the financial world, leaving us with a dad joke-worthy nugget of wisdom: "Why did the economist watch SmarterEveryDay videos? For the stock tips and a good laugh!"

Furthermore, the results shed light on the intriguing dynamics between online content and market performance, prompting us to ponder whether the stock market has a penchant for witty and thought-provoking video titles. The implications of these findings are as significant as they are amusing, leaving us with a new maxim to consider: "A catchy video title a day keeps the stock woes at bay!"

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
Ah, the enigmatic dance between online content and market performance. It's a phenomenon that has captivated researchers and investors alike, sparking countless debates and more than a few head scratches. Today, we embark on a quest to unravel this mystery, exploring the fascinating relationship between the quality of SmarterEveryDay's YouTube video titles and the stock price of Fomento Econ (FMX). Hold on to your lab coats, folks, because this investigation promises to be a wild ride that's as riveting as a rollercoaster and as unpredictable as stock prices themselves.
As we dive into the intersection of YouTube charisma and financial fortitude, we can't help but ponder the age-old question: "Why did the economist watch SmarterEveryDay videos? For the stock tips and a good laugh!" Yes, dear reader, you heard that right. This academic pursuit isn't all number crunching and data analysis; there's a healthy dose of humor in the mix, courtesy of some good old-fashioned dad jokes. After all, laughter is the best medicine, especially when dealing with the complexities of the stock market.
Our study leveraged cutting-edge AI analysis of YouTube video titles to gauge their appeal and impact. With meticulous attention to detail, we delved into the captivating world of SmarterEveryDay's video titles, uncovering nuggets of wisdom and laughter along the way. The interplay between captivating video titles and the financial world didn't just pique our interest; it left us with a new maxim to ponder: "A catchy video title a day keeps the stock woes at bay!" Who knew that a clever play on words could hold the key to market buoyancy?
The results of this investigation aren't just thought-provoking; they're downright surprising. We uncovered a correlation coefficient of 0.9196948 with a significance level of p < 0.01 for the period spanning from 2007 to 2023, leaving us marveling at the unexpected connection between online content and market performance. It's a discovery that's as delightful as a well-timed punchline, and as satisfying as spotting a bullish trend in a sea of market volatility.
So, fasten your seatbelts, dear reader, because we're about to embark on a journey that's equal parts financial analysis and YouTube fascination. As we unpack the impact of SmarterEveryDay's video titles on FMX stock prices, we might just find ourselves reaching for another dad joke to lighten the load. After all, who said research papers can't be peppered with a healthy dose of humor?

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

Upon conducting our analysis, we found a remarkable correlation between the quality of SmarterEveryDay's YouTube video titles and the stock price of Fomento Econ (FMX). The correlation coefficient of 0.9196948, with a corresponding r-squared value of 0.8458385, and a significance level of p < 0.01, unequivocally underscored the surprising connection between these two seemingly disparate domains. It's almost like the stock market is saying, "I find your YouTube titles quite captivating!"

The scatterplot (Fig. 1) provides a visual representation of this strong correlation, leaving little room for doubt that there’s more than meets the eye when it comes to the impact of compelling video titles on market dynamics. This revelation prompts a dad joke-worthy quip: "Why did the stock price cross the road? To get to the captivating YouTube video title on the other side, of course!"

In unraveling the enigmatic relationship between online content and market performance, our findings spark a sense of awe and amusement, offering a tantalizing glimpse into the uncharted territories of economic analysis. It’s as if the stock market has a soft spot for a well-executed YouTube title, affirming the old adage, "Laughter is the best medicine, especially when dealing with market volatility!"

These results not only spotlight the influence of captivating video titles on financial trajectories but also prompt us to reflect on the broader implications of this unexpected nexus. After all, who would have thought that a catchy video title could hold such sway over market dynamics? It's as if the stock market has a secret weakness for wit and humor, reminding us that even in the world of finance, a well-crafted pun could hold the key to market buoyancy.

In essence, our findings offer a whimsical yet thought-provoking glimpse into the intersection of online charisma and economic fortitude. They beckon us to reconsider the role of captivating content in shaping market sentiments, leaving us with a parting dad joke: "Why did the economist become a YouTuber? To analyze captivating video titles and make a few 'cents' along the way!"

So, as the curtains draw on this riveting exploration, we invite fellow researchers and enthusiasts to join us in contemplating the profound yet delightfully humorous implications of our discovery. After all, in the world of academia and economics, a hearty laugh and a compelling insight make for an unbeatable combination.


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

Please make up the discussion section of an academic research paper presenting the findings of the connection between How good SmarterEveryDay YouTube video titles are and Fomento Econ's stock price (FMX). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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]]
"Stock Price Growth: A SmarterEveryDay Connection"

[[ABSTRACT]]
This paper presents a thorough investigation into the relationship between the quality of SmarterEveryDay's YouTube video titles and the stock price of Fomento Econ (FMX). Our research team employed cutting-edge AI analysis of YouTube video titles and leveraged LSEG Analytics (Refinitiv) data to explore this enigmatic connection. The findings reveal a correlation coefficient of 0.9196948 with a significance level of p < 0.01 for the period spanning from 2007 to 2023.

In analyzing the impact of SmarterEveryDay's video titles on FMX stock prices, we discovered a striking correlation that's bound to make economists and YouTube enthusiasts alike sit up and take notice. This study delves deep into the interplay between captivating video titles and the financial world, leaving us with a dad joke-worthy nugget of wisdom: "Why did the economist watch SmarterEveryDay videos? For the stock tips and a good laugh!"

Furthermore, the results shed light on the intriguing dynamics between online content and market performance, prompting us to ponder whether the stock market has a penchant for witty and thought-provoking video titles. The implications of these findings are as significant as they are amusing, leaving us with a new maxim to consider: "A catchy video title a day keeps the stock woes at bay!"

[[LITERATURE REVIEW]]
The significance of online content in influencing market behavior has been a subject of increasing interest among scholars and analysts. In "Smith et al.," the authors find that captivating and engaging content may have an impact on consumer sentiment and brand perception, drawing attention to the potential implications for stock prices. However, a comprehensive exploration of the link between YouTube video titles and stock performance has been notably absent from existing literature.
In "Doe and Jones," the authors delve into the dynamics of consumer behavior and its effects on market trends, shedding light on the role of captivating content in shaping consumer preferences. Nevertheless, the specific influence of YouTube video titles on stock price movements remains an uncharted territory, ripe for exploration and analysis.
Turning to non-fiction books related to the topic, "Contagious: How to Build Word of Mouth in the Digital Age" by Jonah Berger provides insightful perspectives on the virality of content and its potential impact on consumer behavior, offering valuable insights into the mechanisms through which captivating video titles may resonate with audiences and drive market interest. Meanwhile, "The Psychology of Persuasion" by Robert B. Cialdini explores the underlying principles of influence and persuasion, offering a nuanced understanding of how compelling content can shape buyer decisions and market dynamics.
In the realm of fiction, "The Hitchhiker's Guide to the Galaxy" by Douglas Adams presents an amusing take on the complexities of the universe, mirroring the unpredictability and whimsical nature of stock price fluctuations. Furthermore, "Catch-22" by Joseph Heller offers a satirical exploration of paradoxes and absurdities, mirroring the often bewildering and contradictory forces at play in the world of stock markets and online content.
As part of our rigorous research methodology, the team diligently binged-watched TV shows to better understand the nature of captivating content. Shows such as "Mad Men" and "The Marvelous Mrs. Maisel" provided valuable insights into the art of crafting attention-grabbing messaging and storytelling, offering a fresh perspective on the potential impact of compelling narratives in shaping market perceptions and consumer engagement. After all, what better way to understand the power of captivating content than to immerse oneself in the world of captivating storytelling?


[[RESULTS]]
Upon conducting our analysis, we found a remarkable correlation between the quality of SmarterEveryDay's YouTube video titles and the stock price of Fomento Econ (FMX). The correlation coefficient of 0.9196948, with a corresponding r-squared value of 0.8458385, and a significance level of p < 0.01, unequivocally underscored the surprising connection between these two seemingly disparate domains. It's almost like the stock market is saying, "I find your YouTube titles quite captivating!"
The scatterplot (Fig. 1) provides a visual representation of this strong correlation, leaving little room for doubt that there’s more than meets the eye when it comes to the impact of compelling video titles on market dynamics. This revelation prompts a dad joke-worthy quip: "Why did the stock price cross the road? To get to the captivating YouTube video title on the other side, of course!"
In unraveling the enigmatic relationship between online content and market performance, our findings spark a sense of awe and amusement, offering a tantalizing glimpse into the uncharted territories of economic analysis. It’s as if the stock market has a soft spot for a well-executed YouTube title, affirming the old adage, "Laughter is the best medicine, especially when dealing with market volatility!"
These results not only spotlight the influence of captivating video titles on financial trajectories but also prompt us to reflect on the broader implications of this unexpected nexus. After all, who would have thought that a catchy video title could hold such sway over market dynamics? It's as if the stock market has a secret weakness for wit and humor, reminding us that even in the world of finance, a well-crafted pun could hold the key to market buoyancy.
In essence, our findings offer a whimsical yet thought-provoking glimpse into the intersection of online charisma and economic fortitude. They beckon us to reconsider the role of captivating content in shaping market sentiments, leaving us with a parting dad joke: "Why did the economist become a YouTuber? To analyze captivating video titles and make a few 'cents' along the way!"
So, as the curtains draw on this riveting exploration, we invite fellow researchers and enthusiasts to join us in contemplating the profound yet delightfully humorous implications of our discovery. After all, in the world of academia and economics, a hearty laugh and a compelling insight make for an unbeatable combination.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

Our research has unveiled a captivating connection between the quality of SmarterEveryDay's YouTube video titles and the stock price of Fomento Econ (FMX). The robust correlation coefficient we observed aligns with the findings of "Smith et al." and "Doe and Jones," underlining the influential role of engaging content on consumer sentiment and market performance. It's as if the stock market has a soft spot for cleverly crafted video titles, embracing them with open arms. It's almost like the stock market is saying, "I find your YouTube titles quite captivating!"

Drawing inspiration from "The Hitchhiker's Guide to the Galaxy" and "Catch-22," our study contributes to the literature by shedding light on the compelling yet whimsical relationship between online content and market dynamics. The unexpected correlation we discovered challenges traditional assumptions about the factors influencing stock prices, beckoning us to consider the influence of captivating narratives in an often bewildering and contradictory economic landscape. It's almost like the stock market has a secret weakness for wit and humor - a delightful twist in the complex tale of market behavior.

Our results resonate with the insights of Jonah Berger in "Contagious" and Robert B. Cialdini in "The Psychology of Persuasion," reinforcing the notion that captivating content can spark consumer interest and sway market sentiments. The implications of our findings are as significant as they are amusing, prompting us to reconsider the role of compelling narratives in shaping market perceptions. It's as if the stock market has a penchant for thought-provoking video titles, offering a transcendental blend of economic fortitude and captivating charisma.

In light of these findings, we invite fellow researchers and market enthusiasts to join us in pondering the profound yet entertaining implications of this connection. After all, in the domain of economics, a well-crafted pun could hold the key to market buoyancy. As we reflect on the whimsical yet thought-provoking intersection of online charisma and economic fortitude, we leave you with a final dad joke: "Why did the economist become a YouTuber? To analyze captivating video titles and make a few 'cents' along the way!"


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

Please make up a short conclusion of an academic research paper presenting the findings of the connection between How good SmarterEveryDay YouTube video titles are and Fomento Econ's stock price (FMX). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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]]
"Stock Price Growth: A SmarterEveryDay Connection"

[[ABSTRACT]]
This paper presents a thorough investigation into the relationship between the quality of SmarterEveryDay's YouTube video titles and the stock price of Fomento Econ (FMX). Our research team employed cutting-edge AI analysis of YouTube video titles and leveraged LSEG Analytics (Refinitiv) data to explore this enigmatic connection. The findings reveal a correlation coefficient of 0.9196948 with a significance level of p < 0.01 for the period spanning from 2007 to 2023.

In analyzing the impact of SmarterEveryDay's video titles on FMX stock prices, we discovered a striking correlation that's bound to make economists and YouTube enthusiasts alike sit up and take notice. This study delves deep into the interplay between captivating video titles and the financial world, leaving us with a dad joke-worthy nugget of wisdom: "Why did the economist watch SmarterEveryDay videos? For the stock tips and a good laugh!"

Furthermore, the results shed light on the intriguing dynamics between online content and market performance, prompting us to ponder whether the stock market has a penchant for witty and thought-provoking video titles. The implications of these findings are as significant as they are amusing, leaving us with a new maxim to consider: "A catchy video title a day keeps the stock woes at bay!"

[[INTRDUCTION]]
Ah, the enigmatic dance between online content and market performance. It's a phenomenon that has captivated researchers and investors alike, sparking countless debates and more than a few head scratches. Today, we embark on a quest to unravel this mystery, exploring the fascinating relationship between the quality of SmarterEveryDay's YouTube video titles and the stock price of Fomento Econ (FMX). Hold on to your lab coats, folks, because this investigation promises to be a wild ride that's as riveting as a rollercoaster and as unpredictable as stock prices themselves.
As we dive into the intersection of YouTube charisma and financial fortitude, we can't help but ponder the age-old question: "Why did the economist watch SmarterEveryDay videos? For the stock tips and a good laugh!" Yes, dear reader, you heard that right. This academic pursuit isn't all number crunching and data analysis; there's a healthy dose of humor in the mix, courtesy of some good old-fashioned dad jokes. After all, laughter is the best medicine, especially when dealing with the complexities of the stock market.
Our study leveraged cutting-edge AI analysis of YouTube video titles to gauge their appeal and impact. With meticulous attention to detail, we delved into the captivating world of SmarterEveryDay's video titles, uncovering nuggets of wisdom and laughter along the way. The interplay between captivating video titles and the financial world didn't just pique our interest; it left us with a new maxim to ponder: "A catchy video title a day keeps the stock woes at bay!" Who knew that a clever play on words could hold the key to market buoyancy?
The results of this investigation aren't just thought-provoking; they're downright surprising. We uncovered a correlation coefficient of 0.9196948 with a significance level of p < 0.01 for the period spanning from 2007 to 2023, leaving us marveling at the unexpected connection between online content and market performance. It's a discovery that's as delightful as a well-timed punchline, and as satisfying as spotting a bullish trend in a sea of market volatility.
So, fasten your seatbelts, dear reader, because we're about to embark on a journey that's equal parts financial analysis and YouTube fascination. As we unpack the impact of SmarterEveryDay's video titles on FMX stock prices, we might just find ourselves reaching for another dad joke to lighten the load. After all, who said research papers can't be peppered with a healthy dose of humor?

[[RESULTS]]
Upon conducting our analysis, we found a remarkable correlation between the quality of SmarterEveryDay's YouTube video titles and the stock price of Fomento Econ (FMX). The correlation coefficient of 0.9196948, with a corresponding r-squared value of 0.8458385, and a significance level of p < 0.01, unequivocally underscored the surprising connection between these two seemingly disparate domains. It's almost like the stock market is saying, "I find your YouTube titles quite captivating!"
The scatterplot (Fig. 1) provides a visual representation of this strong correlation, leaving little room for doubt that there’s more than meets the eye when it comes to the impact of compelling video titles on market dynamics. This revelation prompts a dad joke-worthy quip: "Why did the stock price cross the road? To get to the captivating YouTube video title on the other side, of course!"
In unraveling the enigmatic relationship between online content and market performance, our findings spark a sense of awe and amusement, offering a tantalizing glimpse into the uncharted territories of economic analysis. It’s as if the stock market has a soft spot for a well-executed YouTube title, affirming the old adage, "Laughter is the best medicine, especially when dealing with market volatility!"
These results not only spotlight the influence of captivating video titles on financial trajectories but also prompt us to reflect on the broader implications of this unexpected nexus. After all, who would have thought that a catchy video title could hold such sway over market dynamics? It's as if the stock market has a secret weakness for wit and humor, reminding us that even in the world of finance, a well-crafted pun could hold the key to market buoyancy.
In essence, our findings offer a whimsical yet thought-provoking glimpse into the intersection of online charisma and economic fortitude. They beckon us to reconsider the role of captivating content in shaping market sentiments, leaving us with a parting dad joke: "Why did the economist become a YouTuber? To analyze captivating video titles and make a few 'cents' along the way!"
So, as the curtains draw on this riveting exploration, we invite fellow researchers and enthusiasts to join us in contemplating the profound yet delightfully humorous implications of our discovery. After all, in the world of academia and economics, a hearty laugh and a compelling insight make for an unbeatable combination.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, the findings of our research offer a delightful revelation into the captivating relationship between SmarterEveryDay's YouTube video titles and the stock price of Fomento Econ (FMX). The striking correlation coefficient of 0.9196948 and a significance level of p < 0.01 affirm the unexpected yet undeniable bond between these seemingly incongruous spheres. It's as if the stock market has a penchant for a well-crafted punchline, leaving us with a dad joke-worthy quip: "Why did the stock price break up with its girlfriend? It just wasn't feeling the same 'captivation' anymore!"

Our journey into the intersection of online charisma and financial fortitude has not only unveiled a thought-provoking connection but also left us with a renewed appreciation for the whimsical nuances of market dynamics. It's almost like the stock market is saying, "I appreciate a good YouTube title as much as the next investor!" This realization prompts us to consider the wider implications of this discovery and reflect on the profound influence of engaging online content on market sentiments.

As we bid adieu to this exploration, we're compelled to acknowledge that further research in this area holds little promise. After all, the correlation between captivating video titles and market performance has been unraveled with a flair of humor and insight that leaves little room for skepticism. It's as if the stock market has shared a hearty laugh with us, signaling that this peculiar connection has been thoroughly scrutinized. Therefore, dare we say it – no more research is warranted 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 Stock Price Growth: A SmarterEveryDay Connection. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Financial Quirkiness


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 Stock Price Growth: A SmarterEveryDay Connection. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Economic Humor and Financial Analysis


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 Stock Price Growth: A SmarterEveryDay Connection with an abstract of This paper presents a thorough investigation into the relationship between the quality of SmarterEveryDay's YouTube video titles and the stock price of Fomento Econ (FMX). Our research team employed cutting-edge AI analysis of YouTube video titles and leveraged LSEG Analytics (Refinitiv) data to explore this enigmatic connection. The findings reveal a correlation coefficient of 0.9196948 with a significance level of p < 0.01 for the period spanning from 2007 to 2023.
In analyzing the impact of SmarterEveryDay's video titles on FMX stock prices, we discovered a striking correlation that's bound to make economists and YouTube enthusiasts alike sit up and take notice. This study delves deep into the interplay between captivating video titles and the financial world, leaving us with a dad joke-worthy nugget of wisdom: "Why did the economist watch SmarterEveryDay videos? For the stock tips and a good laugh!"
Furthermore, the results shed light on the intriguing dynamics between online content and market performance, prompting us to ponder whether the stock market has a penchant for witty and thought-provoking video titles. The implications of these findings are as significant as they are amusing, leaving us with a new maxim to consider: "A catchy video title a day keeps the stock woes at bay!

ChatGPT:

SmarterEveryDay, YouTube video titles, Fomento Econ, FMX stock price, LSEG Analytics, Refinitiv, AI analysis, correlation coefficient, stock market, online content, market performance, witty video titles, thought-provoking video titles

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



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Data details

How good SmarterEveryDay YouTube video titles are
Detailed data title: How good SmarterEveryDay YouTube video titles are, as rated by an AI.
Source: AI analysis of SmarterEveryDay YouTube video titles
Additional Info: I asked a large language model, 'On a scale of 1-10, how _______ do you think this YouTube video title is?' for every video.

See what else correlates with How good SmarterEveryDay YouTube video titles are

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 = 0.9196948 (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 = 0.8458385 (Coefficient of determination)
This means 84.6% 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., How good SmarterEveryDay YouTube video titles are) over the 17 years from 2007 through 2023.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.8E-7. 0.0000001771274026132113300000
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 0.92 in 1.8E-5% of random cases. Said differently, if you correlated 5,645,654 random variables You don't actually need 5 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 16 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 16 because we have two variables measured over a period of 17 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.

[ 0.79, 0.97 ] 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.
20072008200920102011201220132014201520162017201820192020202120222023
How good SmarterEveryDay YouTube video titles are (Score (out of 10))6.45456.756.756.93757.03577.7257.82357.66677.76197.88247.90488.13047.909187.77787.76927.8462
Fomento Econ's stock price (FMX) (Stock price)38.9238.1730.1748.2956.4471.96101.6996.3488.3391.8276.4294.5985.7395.2375.8177.6378.25




Why this works

  1. Data dredging: I have 25,237 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 636,906,169 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
  2. Lack of causal connection: There is probably Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
    no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
  3. Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
    p-value calculation does not take this into account, so mathematically it appears less probable than it really is.
  4. Y-axis doesn't start at zero: I truncated the Y-axes of the graph above. I also used a line graph, which makes the visual connection stand out more than it deserves. Nothing against line graphs. They are great at telling a story when you have linear data! But visually it is deceptive because the only data is at the points on the graph, not the lines on the graph. In between each point, the data could have been doing anything. Like going for a random walk by itself!
    Mathematically what I showed is true, but it is intentionally misleading. Below is the same chart but with both Y-axes starting at zero.




Try it yourself

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

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

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

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

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

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

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

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

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


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

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

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

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

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([6.4545,6.75,6.75,6.9375,7.0357,7.725,7.8235,7.6667,7.7619,7.8824,7.9048,8.1304,7.9091,8,7.7778,7.7692,7.8462,])
array_2 = np.array([38.92,38.17,30.17,48.29,56.44,71.96,101.69,96.34,88.33,91.82,76.42,94.59,85.73,95.23,75.81,77.63,78.25,])
array_1_name = "How good SmarterEveryDay YouTube video titles are"
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)



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. 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.

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Correlation ID: 5733 · Black Variable ID: 25503 · Red Variable ID: 1579
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