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Spurious correlation #1,343 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Annual US household spending on eggs and the second variable is Ameriprise Financial's stock price (AMP).  The chart goes from 2006 to 2022, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

As household spending on eggs cracked open, it led to an egg-ceptional rise in demand for breakfast items. This sunny-side up surge in the breakfast sector whisked up profits for companies like Ameriprise Financial, prompting sunny financial forecasts and scrambling to invest in AMP stock. It seems like the market really knows how to shell-ebrate a nest-egg opportunity! Remember, the sunny side is always a-bovum when it comes to egg-citing stock trends.

Model: dalle-3
Prompt: Generate an image depicting a kitchen counter with a carton of fresh eggs prominently displayed in the foreground. The eggs should appear fresh and inviting, representing the annual US household spending on eggs. Adjacent to the carton, there should be a stock ticker screen displaying Ameriprise Financial's stock price fluctuating throughout the day. The stock ticker screen should show the real-time movement of the stock price, with a depiction of trading activity during different market hours. The style of the image should reflect a black-and-white newspaper illustration—simple and clear, with attention to detail in the depiction of the eggs and the stock ticker screen. The visual should effectively capture the intersection of consumer spending on eggs and the performance of Ameriprise Financial's stock, creating a compelling and thought-provoking scene. 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 situation described. You respond only with the scene descriptions provided and say nothing else.
User prompt: Here is a situation: Because as household spending on eggs increases, people become more financially savvy, leading to higher stock prices for financial services like Ameriprise.. Given that situation, which of the following image descriptions seems most appropriate? Pick the one that seems to be related to one of the variables at hand and the tone of the explanation. Please respond with only one of the following potential descriptions: An image that looks like it is a scene from 'Star Wars' An image that looks like it is a scene from a Pixar movie Cutsy art illustration A black-and-white newspaper illustration Charcoal
ChatGPT: A black-and-white newspaper illustration

Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated and the explanation described. Do not reference graphs or charts; describe physical objects.
User prompt: Please describe a visual scene that prominently depicts both Annual US household spending on eggs and Ameriprise Financial's stock price Keep the description simple.
ChatGPT: Imagine a kitchen counter with a carton of fresh eggs, representing the annual US household spending on eggs. Next to it, there's a stock ticker screen showing Ameriprise Financial's stock price fluctuating throughout the day. The scene depicts the intersection of consumer spending on eggs and the performance of Ameriprise Financial's stock.

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 black-and-white newspaper illustration ] and depicting this scene: Imagine a kitchen counter with a carton of fresh eggs, representing the annual US household spending on eggs. Next to it, there's a stock ticker screen showing Ameriprise Financial's stock price fluctuating throughout the day. The scene depicts the intersection of consumer spending on eggs and the performance of Ameriprise Financial's stock. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image depicting a kitchen counter with a carton of fresh eggs prominently displayed in the foreground. The eggs should appear fresh and inviting, representing the annual US household spending on eggs. Adjacent to the carton, there should be a stock ticker screen displaying Ameriprise Financial's stock price fluctuating throughout the day. The stock ticker screen should show the real-time movement of the stock price, with a depiction of trading activity during different market hours. The style of the image should reflect a black-and-white newspaper illustration—simple and clear, with attention to detail in the depiction of the eggs and the stock ticker screen. The visual should effectively capture the intersection of consumer spending on eggs and the performance of Ameriprise Financial's stock, creating a compelling and thought-provoking scene.

*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 Annual US household spending on eggs caused Ameriprise Financial's stock price (AMP) to increase. Include one good pun.

AI academic paper

(Because p < 0.01)
Sunrise to Stock Rise: A Cracking Correlation Between Egg Spending and Ameriprise Financial's Stock Price

The Journal of Financial Omelet Studies

Jan 2024

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




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

Please draft the title and abstract of an academic research paper presenting the findings of the connection between Annual US household spending on eggs and Ameriprise Financial's stock price (AMP). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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

Your research team used data from Bureau of Labor Statistics and LSEG Analytics (Refinitiv) to assess this nagging question. You found a correlation coefficient of 0.9479796 and p < 0.01 for 2006 to 2022.

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

[[TITLE]]
Lorem ipsum dolor sit

[[ABSTRACT]]
Lorem ipsum dolor sit



ChatGPT:
[[TITLE]]
Sunrise to Stock Rise: A Cracking Correlation Between Egg Spending and Ameriprise Financial's Stock Price

[[ABSTRACT]]
The yolk's on us as we delve into the intriguing link between annual US household spending on eggs and Ameriprise Financial's stock price (AMP). Leveraging data from the Bureau of Labor Statistics and LSEG Analytics (Refinitiv), our research team aimed to unscramble this enigmatic relationship. Our findings reveal an egg-cellent correlation coefficient of 0.9479796 and a statistically significant p-value of less than 0.01 for the period spanning 2006 to 2022.

Our research laid all eggs on the table and cracked open the mystery surrounding the seemingly improbable connection between egg spending and AMP stock price. In this study, we have omelette no stone unturned in our quest to fry and scramble conventional wisdom, making for egg-citing findings that are sunny side up for both investors and egg enthusiasts alike. This research shelled out insights that might just be over-eas-y to overlook, but the shell-truth is, the data speaks for itself.

As the saying goes, "You can't make an omelette without breaking eggs," but in this case, it seems that Ameriprise Financial's stock price indeed rises with the annual household spending on eggs. This begs the question: which came first, the stock price or the egg spending? Our research offers an intriguing answer to this age-old conundrum. Watch out for this eggstraordinary study in an upcoming issue of our yolk-al journal and shell-ter your curiosity as you delve into the sunny-side-up world of finance and egg economics.


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

Please make up the introduction section of an academic research paper presenting the findings of the connection between Annual US household spending on eggs and Ameriprise Financial's stock price (AMP). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Here is the title and abstract of the paper:
[[TITLE]]
Sunrise to Stock Rise: A Cracking Correlation Between Egg Spending and Ameriprise Financial's Stock Price

[[ABSTRACT]]
The yolk's on us as we delve into the intriguing link between annual US household spending on eggs and Ameriprise Financial's stock price (AMP). Leveraging data from the Bureau of Labor Statistics and LSEG Analytics (Refinitiv), our research team aimed to unscramble this enigmatic relationship. Our findings reveal an egg-cellent correlation coefficient of 0.9479796 and a statistically significant p-value of less than 0.01 for the period spanning 2006 to 2022.

Our research laid all eggs on the table and cracked open the mystery surrounding the seemingly improbable connection between egg spending and AMP stock price. In this study, we have omelette no stone unturned in our quest to fry and scramble conventional wisdom, making for egg-citing findings that are sunny side up for both investors and egg enthusiasts alike. This research shelled out insights that might just be over-eas-y to overlook, but the shell-truth is, the data speaks for itself.

As the saying goes, "You can't make an omelette without breaking eggs," but in this case, it seems that Ameriprise Financial's stock price indeed rises with the annual household spending on eggs. This begs the question: which came first, the stock price or the egg spending? Our research offers an intriguing answer to this age-old conundrum. Watch out for this eggstraordinary study in an upcoming issue of our yolk-al journal and shell-ter your curiosity as you delve into the sunny-side-up world of finance and egg economics.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

"Bacon" and eggs, peanut butter and jelly, Batman and Robin – some duos are simply meant to be together. In the world of finance and economics, we often seek unlikely connections and correlations to make sense of market trends and consumer behavior. And in our case, we find ourselves pondering the peculiar bond between annual US household spending on eggs and Ameriprise Financial's stock price (AMP). It seems that this relationship has us walking on eggshells, in more ways than one!

As we embark on this journey, it's crucial to remember the ever-relevant words of the great Mark Twain: "Facts are stubborn things, but statistics are pliable." Our study aims to navigate the statistical landscape and uncover the eggstraordinary truth behind this unexpected pairing. After all, in the realm of research, we must always be prepared for the unexpected – much like finding a double yolk in your morning omelette!

The notion of eggs influencing the stock price of a financial services company may seem whimsical at first crack, but as researchers, we must shell out all possibilities and not be afraid to challenge the status quo. As the saying goes, "Don't put all your eggs in one basket," but perhaps in this case, a diversified basket of stocks may very well include a healthy serving of egg-centric insights.

Join us as we dive into the shell-ebrated realm of finance and economics, cracking open a new chapter in the age-old saga of stock market dynamics. This study is about to scramble preconceived notions and flip conventional wisdom on its sunny side – because in the world of research, the only thing "over-eas-y" is underestimating the value of unexpected connections. As we lay out our findings, let's not forget that in the world of science and statistics, every question has its own egg-citing answer waiting to be discovered!


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

Please make up a literature review section of an academic research paper presenting the findings of the connection between Annual US household spending on eggs and Ameriprise Financial's stock price (AMP). 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. Perhaps you also got inspiration from some board games that are vaugely related.

Here is the title and abstract of the paper:
[[TITLE]]
Sunrise to Stock Rise: A Cracking Correlation Between Egg Spending and Ameriprise Financial's Stock Price

[[ABSTRACT]]
The yolk's on us as we delve into the intriguing link between annual US household spending on eggs and Ameriprise Financial's stock price (AMP). Leveraging data from the Bureau of Labor Statistics and LSEG Analytics (Refinitiv), our research team aimed to unscramble this enigmatic relationship. Our findings reveal an egg-cellent correlation coefficient of 0.9479796 and a statistically significant p-value of less than 0.01 for the period spanning 2006 to 2022.

Our research laid all eggs on the table and cracked open the mystery surrounding the seemingly improbable connection between egg spending and AMP stock price. In this study, we have omelette no stone unturned in our quest to fry and scramble conventional wisdom, making for egg-citing findings that are sunny side up for both investors and egg enthusiasts alike. This research shelled out insights that might just be over-eas-y to overlook, but the shell-truth is, the data speaks for itself.

As the saying goes, "You can't make an omelette without breaking eggs," but in this case, it seems that Ameriprise Financial's stock price indeed rises with the annual household spending on eggs. This begs the question: which came first, the stock price or the egg spending? Our research offers an intriguing answer to this age-old conundrum. Watch out for this eggstraordinary study in an upcoming issue of our yolk-al journal and shell-ter your curiosity as you delve into the sunny-side-up world of finance and egg economics.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
"Bacon" and eggs, peanut butter and jelly, Batman and Robin – some duos are simply meant to be together. In the world of finance and economics, we often seek unlikely connections and correlations to make sense of market trends and consumer behavior. And in our case, we find ourselves pondering the peculiar bond between annual US household spending on eggs and Ameriprise Financial's stock price (AMP). It seems that this relationship has us walking on eggshells, in more ways than one!
As we embark on this journey, it's crucial to remember the ever-relevant words of the great Mark Twain: "Facts are stubborn things, but statistics are pliable." Our study aims to navigate the statistical landscape and uncover the eggstraordinary truth behind this unexpected pairing. After all, in the realm of research, we must always be prepared for the unexpected – much like finding a double yolk in your morning omelette!
The notion of eggs influencing the stock price of a financial services company may seem whimsical at first crack, but as researchers, we must shell out all possibilities and not be afraid to challenge the status quo. As the saying goes, "Don't put all your eggs in one basket," but perhaps in this case, a diversified basket of stocks may very well include a healthy serving of egg-centric insights.
Join us as we dive into the shell-ebrated realm of finance and economics, cracking open a new chapter in the age-old saga of stock market dynamics. This study is about to scramble preconceived notions and flip conventional wisdom on its sunny side – because in the world of research, the only thing "over-eas-y" is underestimating the value of unexpected connections. As we lay out our findings, let's not forget that in the world of science and statistics, every question has its own egg-citing answer waiting to be discovered!

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

As we embark on our quest to unravel the mysterious correlation between annual US household spending on eggs and Ameriprise Financial's stock price (AMP), it is crucial to first examine the existing body of literature in this field. Smith et al. in "Eggonomics: The Financial Impact of Breakfast Foods" present a comprehensive analysis of consumer spending on eggs and its implications for the financial sector. Their findings laid the groundwork for our research, but little did they know that the yolk was on them – and us!

It is widely acknowledged in the economic literature that consumer spending habits can have profound effects on stock prices and market dynamics. Furthermore, Doe and Jones in "The Egg-ceptional Investor: An Ode to Omelettes and Over-easy Economics" shed light on the unforeseen ways in which seemingly unrelated consumer behaviors can influence the financial markets.

In a similar vein, "Eggonomics and the Art of Investing" by Omeletta Smithwick offers a practical guide to understanding the interplay between egg-centric trends and stock market performance. However, it's clear that even the most seasoned investors can't egg-scape the allure of a good pun when it comes to financial analysis.

Turning to fiction, the renowned mystery novel "The Case of the Missing Eggs" by Sherlock Yolks presents a riveting tale of intrigue and suspense, subtly hinting at the covert role of eggs in shaping market forces. Meanwhile, the classic dystopian novel "Eggmageddon" by George R. Yolkin portrays a world where egg scarcity leads to unforeseen consequences on the global economy, offering a whimsical perspective on the potential impact of egg-related phenomena on financial systems.

In the world of board games, "Eggspansion: A Financial Odyssey" challenges players to navigate a dynamic market environment influenced by egg-related variables, offering a playful glimpse into the unpredictable nature of financial markets. Similarly, "Eggventure Capital" invites participants to make strategic investment decisions based on egg-themed scenarios, highlighting the whimsical yet thought-provoking nature of our research topic.

You know, researching the correlation between egg spending and stock prices has really been quite the egg-citing adventure. It's surely cracked open a whole new world of puns and unexpected connections! But let’s not lose sight of the fact that behind every joke, there's some egg-ceptional research to be uncovered.


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

Please make up the methodology section of an academic research paper presenting the findings of the connection between Annual US household spending on eggs and Ameriprise Financial's stock price (AMP). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from Bureau of Labor Statistics and LSEG Analytics (Refinitiv) . You used data from 2006 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]]
Sunrise to Stock Rise: A Cracking Correlation Between Egg Spending and Ameriprise Financial's Stock Price

[[ABSTRACT]]
The yolk's on us as we delve into the intriguing link between annual US household spending on eggs and Ameriprise Financial's stock price (AMP). Leveraging data from the Bureau of Labor Statistics and LSEG Analytics (Refinitiv), our research team aimed to unscramble this enigmatic relationship. Our findings reveal an egg-cellent correlation coefficient of 0.9479796 and a statistically significant p-value of less than 0.01 for the period spanning 2006 to 2022.

Our research laid all eggs on the table and cracked open the mystery surrounding the seemingly improbable connection between egg spending and AMP stock price. In this study, we have omelette no stone unturned in our quest to fry and scramble conventional wisdom, making for egg-citing findings that are sunny side up for both investors and egg enthusiasts alike. This research shelled out insights that might just be over-eas-y to overlook, but the shell-truth is, the data speaks for itself.

As the saying goes, "You can't make an omelette without breaking eggs," but in this case, it seems that Ameriprise Financial's stock price indeed rises with the annual household spending on eggs. This begs the question: which came first, the stock price or the egg spending? Our research offers an intriguing answer to this age-old conundrum. Watch out for this eggstraordinary study in an upcoming issue of our yolk-al journal and shell-ter your curiosity as you delve into the sunny-side-up world of finance and egg economics.

[[INTRODUCTION]]
"Bacon" and eggs, peanut butter and jelly, Batman and Robin – some duos are simply meant to be together. In the world of finance and economics, we often seek unlikely connections and correlations to make sense of market trends and consumer behavior. And in our case, we find ourselves pondering the peculiar bond between annual US household spending on eggs and Ameriprise Financial's stock price (AMP). It seems that this relationship has us walking on eggshells, in more ways than one!
As we embark on this journey, it's crucial to remember the ever-relevant words of the great Mark Twain: "Facts are stubborn things, but statistics are pliable." Our study aims to navigate the statistical landscape and uncover the eggstraordinary truth behind this unexpected pairing. After all, in the realm of research, we must always be prepared for the unexpected – much like finding a double yolk in your morning omelette!
The notion of eggs influencing the stock price of a financial services company may seem whimsical at first crack, but as researchers, we must shell out all possibilities and not be afraid to challenge the status quo. As the saying goes, "Don't put all your eggs in one basket," but perhaps in this case, a diversified basket of stocks may very well include a healthy serving of egg-centric insights.
Join us as we dive into the shell-ebrated realm of finance and economics, cracking open a new chapter in the age-old saga of stock market dynamics. This study is about to scramble preconceived notions and flip conventional wisdom on its sunny side – because in the world of research, the only thing "over-eas-y" is underestimating the value of unexpected connections. As we lay out our findings, let's not forget that in the world of science and statistics, every question has its own egg-citing answer waiting to be discovered!

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To unscramble the correlation between annual US household spending on eggs and Ameriprise Financial's stock price (AMP), we utilized a cracked combination of data collection and statistical analyses. Our approach cracked open new possibilities and certainly kept our yolks in motion.

Firstly, we meticulously gathered data from the Bureau of Labor Statistics and LSEG Analytics (Refinitiv), leaving no digital breadcrumb behind. After all, in the digital age, even eggs must leave a trail, or should I say "shell"?

We then applied a top-secret algorithm, which we affectionately named "The Egg-timation Equation," to calculate the annual household spending on eggs. This egg-squisite method accounted for market fluctuations, consumer patterns, and the occasional chicken pun – we couldn't resist a good "fowl" joke.

To measure the stock price of Ameriprise Financial (AMP), we relied on classic financial tools, including the use of moving averages, regression analysis, and a dash of egg-stra luck. Our calculations ensured a thorough examination of the stock price movement, leaving no kernel unturned.

After collecting and cleaning the data, we performed a precise statistical analysis, incorporating the Pearson correlation coefficient to crack the mystery of the connection between egg spending and AMP stock price. This egg-cellent statistical tool allowed us to quantify and validate the strength of the relationship, providing a “shell-steady” foundation for our findings.

As any seasoned researcher knows, no statistical analysis is complete without a good old-fashioned t-test. We put our findings to the test, conducting hypothesis testing to ensure the robustness of our results. The thrill of hypothesis testing is akin to cracking open an egg – you never quite know what you'll find inside.

In summary, our methodological approach may have been as nonlinear as the flight of a wayward chicken, but rest assured, our findings are anchored in sound statistical principles and a good dose of egg-centric humor. As we move on to present our results, we invite the reader to sit back, relax, and enjoy the egg-traordinary journey that lies ahead. Because in the world of research, the best discoveries often hatch from the unlikeliest of nests!


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

Please make up the results section of an academic research paper presenting the findings of the connection between Annual US household spending on eggs and Ameriprise Financial's stock price (AMP). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from Bureau of Labor Statistics and LSEG Analytics (Refinitiv) .

For the time period 2006 to 2022, you found a correlation 0.9479796, r-squared of 0.8986653, 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]]
Sunrise to Stock Rise: A Cracking Correlation Between Egg Spending and Ameriprise Financial's Stock Price

[[ABSTRACT]]
The yolk's on us as we delve into the intriguing link between annual US household spending on eggs and Ameriprise Financial's stock price (AMP). Leveraging data from the Bureau of Labor Statistics and LSEG Analytics (Refinitiv), our research team aimed to unscramble this enigmatic relationship. Our findings reveal an egg-cellent correlation coefficient of 0.9479796 and a statistically significant p-value of less than 0.01 for the period spanning 2006 to 2022.

Our research laid all eggs on the table and cracked open the mystery surrounding the seemingly improbable connection between egg spending and AMP stock price. In this study, we have omelette no stone unturned in our quest to fry and scramble conventional wisdom, making for egg-citing findings that are sunny side up for both investors and egg enthusiasts alike. This research shelled out insights that might just be over-eas-y to overlook, but the shell-truth is, the data speaks for itself.

As the saying goes, "You can't make an omelette without breaking eggs," but in this case, it seems that Ameriprise Financial's stock price indeed rises with the annual household spending on eggs. This begs the question: which came first, the stock price or the egg spending? Our research offers an intriguing answer to this age-old conundrum. Watch out for this eggstraordinary study in an upcoming issue of our yolk-al journal and shell-ter your curiosity as you delve into the sunny-side-up world of finance and egg economics.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
"Bacon" and eggs, peanut butter and jelly, Batman and Robin – some duos are simply meant to be together. In the world of finance and economics, we often seek unlikely connections and correlations to make sense of market trends and consumer behavior. And in our case, we find ourselves pondering the peculiar bond between annual US household spending on eggs and Ameriprise Financial's stock price (AMP). It seems that this relationship has us walking on eggshells, in more ways than one!
As we embark on this journey, it's crucial to remember the ever-relevant words of the great Mark Twain: "Facts are stubborn things, but statistics are pliable." Our study aims to navigate the statistical landscape and uncover the eggstraordinary truth behind this unexpected pairing. After all, in the realm of research, we must always be prepared for the unexpected – much like finding a double yolk in your morning omelette!
The notion of eggs influencing the stock price of a financial services company may seem whimsical at first crack, but as researchers, we must shell out all possibilities and not be afraid to challenge the status quo. As the saying goes, "Don't put all your eggs in one basket," but perhaps in this case, a diversified basket of stocks may very well include a healthy serving of egg-centric insights.
Join us as we dive into the shell-ebrated realm of finance and economics, cracking open a new chapter in the age-old saga of stock market dynamics. This study is about to scramble preconceived notions and flip conventional wisdom on its sunny side – because in the world of research, the only thing "over-eas-y" is underestimating the value of unexpected connections. As we lay out our findings, let's not forget that in the world of science and statistics, every question has its own egg-citing answer waiting to be discovered!

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

Our research crackled with anticipation as we initially conducted a Pearson correlation analysis to examine the relationship between annual US household spending on eggs and Ameriprise Financial's stock price (AMP) from 2006 to 2022. The calculated correlation coefficient of 0.9479796 served as a sunny side-up indicator of a strong positive association between these seemingly unrelated variables. It looks like the market has laid an egg-citing surprise for us!

Moreover, the r-squared value of 0.8986653 suggested that approximately 89.87% of the variability in Ameriprise Financial's stock price could be egg-splained by the variance in annual egg spending by U.S. households. Talk about a shell-shocking revelation – who would have thought that egg spending could offer such a robust explanation for stock price movements? It seems that the economics of eggs extends beyond the breakfast table and into the world of market dynamics.

And hold onto your egg cartons, because the p-value of less than 0.01 signaled a statistically significant relationship between these variables. This finding poaches any doubts about the legitimacy of our observed correlation and confirms that it isn't just a mere coincidence. It's as clear as day – there's more than just a scramble of evidence supporting the link between egg spending and AMP stock price.

Finally, our egg-spertly crafted scatterplot (Fig. 1) visually encapsulates the strong correlation we uncovered. The plotted data points resemble a neatly arranged carton of eggs, with the upward trend mirroring the rise in Ameriprise Financial's stock price as annual egg spending increases. It's not often that we see such a finely whisked relationship in financial market research – a true exemplary case of "eggs-cellence" in correlation analysis.

In conclusion, our findings lay out a compelling argument for the interplay between egg spending and Ameriprise Financial's stock price, demonstrating that the essence of this connection is more than just shell-deep. So the next time you're at the breakfast table pondering over egg-related finances, remember that there's more to it than meets the eye – or the egg!


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

Please make up the discussion section of an academic research paper presenting the findings of the connection between Annual US household spending on eggs and Ameriprise Financial's stock price (AMP). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Limit your response to 500 tokens.

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

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

[[TITLE]]
Sunrise to Stock Rise: A Cracking Correlation Between Egg Spending and Ameriprise Financial's Stock Price

[[ABSTRACT]]
The yolk's on us as we delve into the intriguing link between annual US household spending on eggs and Ameriprise Financial's stock price (AMP). Leveraging data from the Bureau of Labor Statistics and LSEG Analytics (Refinitiv), our research team aimed to unscramble this enigmatic relationship. Our findings reveal an egg-cellent correlation coefficient of 0.9479796 and a statistically significant p-value of less than 0.01 for the period spanning 2006 to 2022.

Our research laid all eggs on the table and cracked open the mystery surrounding the seemingly improbable connection between egg spending and AMP stock price. In this study, we have omelette no stone unturned in our quest to fry and scramble conventional wisdom, making for egg-citing findings that are sunny side up for both investors and egg enthusiasts alike. This research shelled out insights that might just be over-eas-y to overlook, but the shell-truth is, the data speaks for itself.

As the saying goes, "You can't make an omelette without breaking eggs," but in this case, it seems that Ameriprise Financial's stock price indeed rises with the annual household spending on eggs. This begs the question: which came first, the stock price or the egg spending? Our research offers an intriguing answer to this age-old conundrum. Watch out for this eggstraordinary study in an upcoming issue of our yolk-al journal and shell-ter your curiosity as you delve into the sunny-side-up world of finance and egg economics.

[[LITERATURE REVIEW]]
As we embark on our quest to unravel the mysterious correlation between annual US household spending on eggs and Ameriprise Financial's stock price (AMP), it is crucial to first examine the existing body of literature in this field. Smith et al. in "Eggonomics: The Financial Impact of Breakfast Foods" present a comprehensive analysis of consumer spending on eggs and its implications for the financial sector. Their findings laid the groundwork for our research, but little did they know that the yolk was on them – and us!
It is widely acknowledged in the economic literature that consumer spending habits can have profound effects on stock prices and market dynamics. Furthermore, Doe and Jones in "The Egg-ceptional Investor: An Ode to Omelettes and Over-easy Economics" shed light on the unforeseen ways in which seemingly unrelated consumer behaviors can influence the financial markets.
In a similar vein, "Eggonomics and the Art of Investing" by Omeletta Smithwick offers a practical guide to understanding the interplay between egg-centric trends and stock market performance. However, it's clear that even the most seasoned investors can't egg-scape the allure of a good pun when it comes to financial analysis.
Turning to fiction, the renowned mystery novel "The Case of the Missing Eggs" by Sherlock Yolks presents a riveting tale of intrigue and suspense, subtly hinting at the covert role of eggs in shaping market forces. Meanwhile, the classic dystopian novel "Eggmageddon" by George R. Yolkin portrays a world where egg scarcity leads to unforeseen consequences on the global economy, offering a whimsical perspective on the potential impact of egg-related phenomena on financial systems.
In the world of board games, "Eggspansion: A Financial Odyssey" challenges players to navigate a dynamic market environment influenced by egg-related variables, offering a playful glimpse into the unpredictable nature of financial markets. Similarly, "Eggventure Capital" invites participants to make strategic investment decisions based on egg-themed scenarios, highlighting the whimsical yet thought-provoking nature of our research topic.
You know, researching the correlation between egg spending and stock prices has really been quite the egg-citing adventure. It's surely cracked open a whole new world of puns and unexpected connections! But let’s not lose sight of the fact that behind every joke, there's some egg-ceptional research to be uncovered.

[[RESULTS]]
Our research crackled with anticipation as we initially conducted a Pearson correlation analysis to examine the relationship between annual US household spending on eggs and Ameriprise Financial's stock price (AMP) from 2006 to 2022. The calculated correlation coefficient of 0.9479796 served as a sunny side-up indicator of a strong positive association between these seemingly unrelated variables. It looks like the market has laid an egg-citing surprise for us!
Moreover, the r-squared value of 0.8986653 suggested that approximately 89.87% of the variability in Ameriprise Financial's stock price could be egg-splained by the variance in annual egg spending by U.S. households. Talk about a shell-shocking revelation – who would have thought that egg spending could offer such a robust explanation for stock price movements? It seems that the economics of eggs extends beyond the breakfast table and into the world of market dynamics.
And hold onto your egg cartons, because the p-value of less than 0.01 signaled a statistically significant relationship between these variables. This finding poaches any doubts about the legitimacy of our observed correlation and confirms that it isn't just a mere coincidence. It's as clear as day – there's more than just a scramble of evidence supporting the link between egg spending and AMP stock price.
Finally, our egg-spertly crafted scatterplot (Fig. 1) visually encapsulates the strong correlation we uncovered. The plotted data points resemble a neatly arranged carton of eggs, with the upward trend mirroring the rise in Ameriprise Financial's stock price as annual egg spending increases. It's not often that we see such a finely whisked relationship in financial market research – a true exemplary case of "eggs-cellence" in correlation analysis.
In conclusion, our findings lay out a compelling argument for the interplay between egg spending and Ameriprise Financial's stock price, demonstrating that the essence of this connection is more than just shell-deep. So the next time you're at the breakfast table pondering over egg-related finances, remember that there's more to it than meets the eye – or the egg!

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

Our findings have illuminated a sunny-side-up correlation between annual US household spending on eggs and Ameriprise Financial's stock price (AMP). As we carefully cracked open the shell of this intriguing relationship, our research revealed a compelling connection that defies conventional wisdom. It seems that the significance of eggs in influencing financial markets is no yolk – pun intended. The egg-centric literature reviewed, which seemed whimsical at first crack, actually laid the foundation for our exploration and supported our egg-citing findings.

The previous work of Smith et al. in "Eggonomics: The Financial Impact of Breakfast Foods" and Doe and Jones in "The Egg-ceptional Investor: An Ode to Omelettes and Over-easy Economics" unequivocally set the stage for our research – a true testament to the importance of not dismissing seemingly outlandish correlations. As we delved into this egg-spansive realm of research, we found that the market truly has a way of laying an egg-citing surprise for us.

Our results lend strong support to the notion that consumer spending on everyday items, even as seemingly ordinary as eggs, can have remarkable implications for stock market dynamics. The high correlation coefficient and statistically significant p-value poached any doubts about the legitimacy of the observed relationship, providing a sunny-side-up confirmation of its significance. It's clear that this connection isn't just a fluke – it's as legitimate as they come, an egg-splicable part of the market's moves.

The cracklingly high r-squared value underscored that nearly 90% of the variability in Ameriprise Financial's stock price could be egg-splained by the spending on eggs by U.S. households. This just goes to show that in the world of financial markets, there are often egg-ceptional surprises waiting to be uncovered. Our findings egg-sude a robust pattern that extends well beyond mere coincidence and highlights the egg-straordinary influence of egg spending on stock prices.

The surprising and unexpected nature of our findings just goes to show that in the world of research and statistics, there's always an egg-stra element of unpredictability. But even amidst the uncertainty and egg-centric puns, our study has demonstrated that behind every yolk there's some shell-sational research to be discovered. We've cracked the case on this peculiar correlation, and the hard-boiled truth is, it's egg-tremely relevant to understanding market dynamics.

As we await the shell-abration of this egg-ceptional study being published, we hope it will shellebrate a new era of research into the improbable connections and influences that shape financial markets – because, after all, who would have thought that egg spending and stock prices could crack such a compelling correlation?

And with that, we leave you with this egg-ceptional thought: sometimes, the seemingly egg-stravagant hypotheses turn out to be the most egg-citing discoveries!


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

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Annual US household spending on eggs and Ameriprise Financial's stock price (AMP). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Sunrise to Stock Rise: A Cracking Correlation Between Egg Spending and Ameriprise Financial's Stock Price

[[ABSTRACT]]
The yolk's on us as we delve into the intriguing link between annual US household spending on eggs and Ameriprise Financial's stock price (AMP). Leveraging data from the Bureau of Labor Statistics and LSEG Analytics (Refinitiv), our research team aimed to unscramble this enigmatic relationship. Our findings reveal an egg-cellent correlation coefficient of 0.9479796 and a statistically significant p-value of less than 0.01 for the period spanning 2006 to 2022.

Our research laid all eggs on the table and cracked open the mystery surrounding the seemingly improbable connection between egg spending and AMP stock price. In this study, we have omelette no stone unturned in our quest to fry and scramble conventional wisdom, making for egg-citing findings that are sunny side up for both investors and egg enthusiasts alike. This research shelled out insights that might just be over-eas-y to overlook, but the shell-truth is, the data speaks for itself.

As the saying goes, "You can't make an omelette without breaking eggs," but in this case, it seems that Ameriprise Financial's stock price indeed rises with the annual household spending on eggs. This begs the question: which came first, the stock price or the egg spending? Our research offers an intriguing answer to this age-old conundrum. Watch out for this eggstraordinary study in an upcoming issue of our yolk-al journal and shell-ter your curiosity as you delve into the sunny-side-up world of finance and egg economics.

[[INTRDUCTION]]
"Bacon" and eggs, peanut butter and jelly, Batman and Robin – some duos are simply meant to be together. In the world of finance and economics, we often seek unlikely connections and correlations to make sense of market trends and consumer behavior. And in our case, we find ourselves pondering the peculiar bond between annual US household spending on eggs and Ameriprise Financial's stock price (AMP). It seems that this relationship has us walking on eggshells, in more ways than one!
As we embark on this journey, it's crucial to remember the ever-relevant words of the great Mark Twain: "Facts are stubborn things, but statistics are pliable." Our study aims to navigate the statistical landscape and uncover the eggstraordinary truth behind this unexpected pairing. After all, in the realm of research, we must always be prepared for the unexpected – much like finding a double yolk in your morning omelette!
The notion of eggs influencing the stock price of a financial services company may seem whimsical at first crack, but as researchers, we must shell out all possibilities and not be afraid to challenge the status quo. As the saying goes, "Don't put all your eggs in one basket," but perhaps in this case, a diversified basket of stocks may very well include a healthy serving of egg-centric insights.
Join us as we dive into the shell-ebrated realm of finance and economics, cracking open a new chapter in the age-old saga of stock market dynamics. This study is about to scramble preconceived notions and flip conventional wisdom on its sunny side – because in the world of research, the only thing "over-eas-y" is underestimating the value of unexpected connections. As we lay out our findings, let's not forget that in the world of science and statistics, every question has its own egg-citing answer waiting to be discovered!

[[RESULTS]]
Our research crackled with anticipation as we initially conducted a Pearson correlation analysis to examine the relationship between annual US household spending on eggs and Ameriprise Financial's stock price (AMP) from 2006 to 2022. The calculated correlation coefficient of 0.9479796 served as a sunny side-up indicator of a strong positive association between these seemingly unrelated variables. It looks like the market has laid an egg-citing surprise for us!
Moreover, the r-squared value of 0.8986653 suggested that approximately 89.87% of the variability in Ameriprise Financial's stock price could be egg-splained by the variance in annual egg spending by U.S. households. Talk about a shell-shocking revelation – who would have thought that egg spending could offer such a robust explanation for stock price movements? It seems that the economics of eggs extends beyond the breakfast table and into the world of market dynamics.
And hold onto your egg cartons, because the p-value of less than 0.01 signaled a statistically significant relationship between these variables. This finding poaches any doubts about the legitimacy of our observed correlation and confirms that it isn't just a mere coincidence. It's as clear as day – there's more than just a scramble of evidence supporting the link between egg spending and AMP stock price.
Finally, our egg-spertly crafted scatterplot (Fig. 1) visually encapsulates the strong correlation we uncovered. The plotted data points resemble a neatly arranged carton of eggs, with the upward trend mirroring the rise in Ameriprise Financial's stock price as annual egg spending increases. It's not often that we see such a finely whisked relationship in financial market research – a true exemplary case of "eggs-cellence" in correlation analysis.
In conclusion, our findings lay out a compelling argument for the interplay between egg spending and Ameriprise Financial's stock price, demonstrating that the essence of this connection is more than just shell-deep. So the next time you're at the breakfast table pondering over egg-related finances, remember that there's more to it than meets the eye – or the egg!

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In cracking open the peculiar correlation between annual US household spending on eggs and Ameriprise Financial's stock price (AMP), our research has truly laid the sunny side up of unexpected connections in the world of finance and economics. It seems that the market has served us quite the eggstraordinary surprise, with our findings demonstrating a strong positive association between these seemingly unrelated variables. The "shell-truth" has been revealed – there's more to egg spending than just making a tasty omelette!

Our study, like a finely whisked batch of meringue, has whipped up its fair share of egg-citing revelations. The statistically significant relationship between egg spending and AMP stock price is as clear as day, poaching any doubts about the legitimacy of this unlikely correlation. Who would have thought that the key to a sunny stock performance lies in the world of egg economics?

As the great Greek philosopher and egg enthusiast Socrates once said, "The only true wisdom is in knowing you know nothing," but in this case, our eggstensive research holds the wisdom of an entire poultry farm! Our egg-spertly crafted scatterplot not only visually depicts this egg-ceptional correlation but also serves as a reminder that sometimes, in the world of statistics, the yolk's on us for underestimating the "egg-stent" of unexpected connections.

In a shell, our findings yolked together egg spending and AMP stock price in an unexpected and egg-substantial way. So, next time you're pondering over financial investments and breakfast choices, just remember, there's more to it than meets the egg!

With that being said, we assert that no more research is needed in this area. Our findings have certainly cracked open this peculiar connection, leaving us with an egg-ceptionally thorough understanding of the correlation between egg spending and Ameriprise Financial's stock price. It's time to egg-sit our curiosity and shell-abrate the egg-splosive insights unearthed by this study.

And remember, whether you like your eggs scrambled or sunny side up, this research is no yolk.


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 Sunrise to Stock Rise: A Cracking Correlation Between Egg Spending and Ameriprise Financial's Stock Price. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Financial Omelet Studies


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 Sunrise to Stock Rise: A Cracking Correlation Between Egg Spending and Ameriprise Financial's Stock Price. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Financial Nutrition


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 Sunrise to Stock Rise: A Cracking Correlation Between Egg Spending and Ameriprise Financial's Stock Price with an abstract of The yolk's on us as we delve into the intriguing link between annual US household spending on eggs and Ameriprise Financial's stock price (AMP). Leveraging data from the Bureau of Labor Statistics and LSEG Analytics (Refinitiv), our research team aimed to unscramble this enigmatic relationship. Our findings reveal an egg-cellent correlation coefficient of 0.9479796 and a statistically significant p-value of less than 0.01 for the period spanning 2006 to 2022.
Our research laid all eggs on the table and cracked open the mystery surrounding the seemingly improbable connection between egg spending and AMP stock price. In this study, we have omelette no stone unturned in our quest to fry and scramble conventional wisdom, making for egg-citing findings that are sunny side up for both investors and egg enthusiasts alike. This research shelled out insights that might just be over-eas-y to overlook, but the shell-truth is, the data speaks for itself.
As the saying goes, "You can't make an omelette without breaking eggs," but in this case, it seems that Ameriprise Financial's stock price indeed rises with the annual household spending on eggs. This begs the question: which came first, the stock price or the egg spending? Our research offers an intriguing answer to this age-old conundrum. Watch out for this eggstraordinary study in an upcoming issue of our yolk-al journal and shell-ter your curiosity as you delve into the sunny-side-up world of finance and egg economics.

ChatGPT:

Ameriprise Financial, egg spending, household spending, correlation, stock price, Bureau of Labor Statistics, LSEG Analytics, Refinitiv, correlation coefficient, p-value, 2006-2022, egg consumption, egg economics

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



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Data details

Annual US household spending on eggs
Detailed data title: Average annual household spend on eggs
Source: Bureau of Labor Statistics
See what else correlates with Annual US household spending on eggs

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

See what else correlates with Ameriprise Financial's stock price (AMP)

Correlation r = 0.9479796 (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 = 0.8986653 (Coefficient of determination)
This means 89.9% of the change in the one variable (i.e., Ameriprise Financial's stock price (AMP)) is predictable based on the change in the other (i.e., Annual US household spending on eggs) over the 17 years from 2006 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 7.4E-9. 0.0000000074166874383617430000
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 0.95 in 7.4E-7% of random cases. Said differently, if you correlated 134,831,083 random variables You don't actually need 134 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.

[ 0.86, 0.98 ] 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.
20062007200820092010201120122013201420152016201720182019202020212022
Annual US household spending on eggs (Household spend)3743514446505356586356556458646887
Ameriprise Financial's stock price (AMP) (Stock price)41.354.6855.1823.439.158.2251.1664.25114.58132.98103.93113.12170.64103.44167.54195.3303.68




Why this works

  1. Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
  2. Lack of causal connection: There is probably Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
    no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
  3. Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
    p-value calculation does not take this into account, so mathematically it appears less probable than it really is.
  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([37,43,51,44,46,50,53,56,58,63,56,55,64,58,64,68,87,])
array_2 = np.array([41.3,54.68,55.18,23.4,39.1,58.22,51.16,64.25,114.58,132.98,103.93,113.12,170.64,103.44,167.54,195.3,303.68,])
array_1_name = "Annual US household spending on eggs"
array_2_name = "Ameriprise Financial's stock price (AMP)"

# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)

# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)



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For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."

When spoken, my last name is pronounced "vegan," like I don't eat meat.

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Correlation ID: 1343 · Black Variable ID: 19893 · Red Variable ID: 1805
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