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Spurious correlation #2,823 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Popularity of the first name Jamesha and the second variable is Mizuho Financial Group's stock price (MFG).  The chart goes from 2007 to 2017, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

Due to a little-known psychological phenomenon called "onomastic market influence," the diminution in individuals named Jamesha has disrupted a unique cosmic resonance with the financial sector. As the name Jamesha experiences a decline in usage, the vibrational alignment with Mizuho Financial Group symbolized by the stock ticker MFG is perturbed, leading to unexpected fluctuations in stock prices. It's a case of etymological economics, where the ebb and flow of personal name preferences somehow manages to ripple through the stock market, proving that even in the world of high finance, a Jamesha by any other name could have a quantitatively different impact.

Model: dalle-3
Prompt: Generate an image of an office set in the art nouveau style. Within the office, there is a prominent sign displaying the declining popularity of the name "Jamesha" over the years. Close by, several employees at Mizuho Financial Group appear disheartened as they observe a chart indicating the decrease in the number of people named Jamesha working at the company. As their morale wanes, an evident drop in productivity is reflected by a line graph showing the downward trend of Mizuho Financial Group's stock price (MFG) displayed on a nearby screen. Reflect the somber mood of the employees and the impact of the declining trend through the sophisticated art nouveau visuals. The depiction should include only scenes, people, and objects, it should not include text or speech bubbles.
This image generation prompt was also generated by AI, using the following sequence:

Model: gpt-3.5-turbo-1106
System prompt: You select one of a few potential scene descriptors that seems to go along with the variables described. You respond only with the scene descriptions provided and say nothing else.
User prompt: Here are two variables: Popularity of the first name Jamesha and Mizuho Financial Group's stock price (MFG). 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: Sci-fi fantacy Woodblock painting Art nouveau Oragami Vaporwave
ChatGPT: Art nouveau

Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both Popularity of the first name Jamesha and Mizuho Financial Group's stock price (MFG), in the following situation: Because as the popularity of the name Jamesha decreased, so did the number of people named Jamesha working at Mizuho Financial Group. This led to a decrease in employee morale, which in turn impacted productivity and ultimately the stock price.. Keep the description simple.
ChatGPT: In a bustling office, there is a large sign that displays the decreasing popularity of the first name Jamesha over the years. Nearby, a group of employees at Mizuho Financial Group look disheartened as they see a chart displaying the decrease in the number of people named Jamesha working at the company. As the employees' morale drops, their productivity decreases, and this is represented by a line graph showing the downward trend of Mizuho Financial Group's stock price (MFG) on a nearby screen.

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: [ Art nouveau ] and depicting this scene: In a bustling office, there is a large sign that displays the decreasing popularity of the first name Jamesha over the years. Nearby, a group of employees at Mizuho Financial Group look disheartened as they see a chart displaying the decrease in the number of people named Jamesha working at the company. As the employees' morale drops, their productivity decreases, and this is represented by a line graph showing the downward trend of Mizuho Financial Group's stock price (MFG) on a nearby screen. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of an office set in the art nouveau style. Within the office, there is a prominent sign displaying the declining popularity of the name "Jamesha" over the years. Close by, several employees at Mizuho Financial Group appear disheartened as they observe a chart indicating the decrease in the number of people named Jamesha working at the company. As their morale wanes, an evident drop in productivity is reflected by a line graph showing the downward trend of Mizuho Financial Group's stock price (MFG) displayed on a nearby screen. Reflect the somber mood of the employees and the impact of the declining trend through the sophisticated art nouveau visuals.

*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 a decrease in Popularity of the first name Jamesha caused Mizuho Financial Group's stock price (MFG) to decrease.\Make it sound serious until the end.

AI academic paper

(Because p < 0.01)
Mingling of Mizuho: Examining the Effect of the Popularity of the Name Jamesha on Mizuho Financial Group's Stock Price

The Journal of Finance and Funky Phenomena

Jan 2024

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




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

Please draft the title and abstract of an academic research paper presenting the findings of the connection between Popularity of the first name Jamesha and Mizuho Financial Group's stock price (MFG). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Make the title an alliteration.

Your research team used data from US Social Security Administration and LSEG Analytics (Refinitiv) to assess this nagging question. You found a correlation coefficient of 0.8999015 and p < 0.01 for 2007 to 2017.

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]]
Mingling of Mizuho: Examining the Effect of the Popularity of the Name Jamesha on Mizuho Financial Group's Stock Price

[[ABSTRACT]]
The stock market has long been an enigma, much like the timeless question: "What do you call a fish wearing a crown? Anemone!" In this paper, we delve into the peculiar connection between the popularity of the first name Jamesha and the stock price of the esteemed Mizuho Financial Group (MFG). With a twinkle in our eye and curiosity in our hearts, we used data from the US Social Security Administration and LSEG Analytics (Refinitiv) to assess this seemingly far-fetched correlation. Our findings revealed a correlation coefficient of 0.8999015 and a significant p-value of < 0.01 for the years 2007 to 2017, leaving us saying, "That's a bullish figure," in more ways than one.

The sight of the name Jamesha may not usually conjure up thoughts of financial influence, but our results suggest otherwise. As we delved deeper into the data, we couldn't help but marvel at the unexpected connection, prompting us to ask, "Why did the finance major bring a ladder to the bar? He heard the drinks were on the house!"

In conclusion, our research sheds a humorous light on the intersection of personal nomenclature and stock market trends, leading us to ponder the truly fascinating nature of correlations. As we navigate the seas of finance and human nomenclature, we leave you with this thought: "Why don't scientists trust atoms? Because they make up everything!"


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

Please make up the introduction section of an academic research paper presenting the findings of the connection between Popularity of the first name Jamesha and Mizuho Financial Group's stock price (MFG). 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]]
Mingling of Mizuho: Examining the Effect of the Popularity of the Name Jamesha on Mizuho Financial Group's Stock Price

[[ABSTRACT]]
The stock market has long been an enigma, much like the timeless question: "What do you call a fish wearing a crown? Anemone!" In this paper, we delve into the peculiar connection between the popularity of the first name Jamesha and the stock price of the esteemed Mizuho Financial Group (MFG). With a twinkle in our eye and curiosity in our hearts, we used data from the US Social Security Administration and LSEG Analytics (Refinitiv) to assess this seemingly far-fetched correlation. Our findings revealed a correlation coefficient of 0.8999015 and a significant p-value of < 0.01 for the years 2007 to 2017, leaving us saying, "That's a bullish figure," in more ways than one.

The sight of the name Jamesha may not usually conjure up thoughts of financial influence, but our results suggest otherwise. As we delved deeper into the data, we couldn't help but marvel at the unexpected connection, prompting us to ask, "Why did the finance major bring a ladder to the bar? He heard the drinks were on the house!"

In conclusion, our research sheds a humorous light on the intersection of personal nomenclature and stock market trends, leading us to ponder the truly fascinating nature of correlations. As we navigate the seas of finance and human nomenclature, we leave you with this thought: "Why don't scientists trust atoms? Because they make up everything!"

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

The stock market, much like a high-stakes poker game, has always been a captivating arena for enthusiasts and researchers alike. It is a place where numbers dance, and predictions waltz—keeping everyone on their toes. As we wade into the depths of this abyss of data, it's important to keep our spirits afloat and our puns at the ready. Speaking of which, did you hear about the statistician who drowned in a river with an average depth of 6 inches? He really should've seen that coming!

In this paper, we set out to investigate an unconventional pairing: the popularity of the first name Jamesha and the stock price dynamics of the revered Mizuho Financial Group (MFG). It's a bit like mixing oil and water, but as researchers, we thrive on stirring things up. We obtained data from the US Social Security Administration and LSEG Analytics (Refinitiv) and dived into the waves of statistics with the buoyancy of a rubber duck. Just like a good dad joke, our investigation might seem instantly funny, but with time and understanding, it may reveal layers of complexity.

As we embarked on this journey, we couldn't help but ponder, "Why did the researcher go to art school? To study the correlation between brushstrokes and money laundering!" It's moments like these that remind us of the unexpected twists that research can reveal, much like finding out that your favorite scientist's first name is actually 'Phil.'

Stay tuned as we unpack the surprising statistical findings that emerge when the whimsical world of names collides with the steadfast realm of finance. Our data isn't just number-crunching; it's a journey of discovery and delight, akin to realizing that 6.9% of statistics are not actually made up.


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

Please make up a literature review section of an academic research paper presenting the findings of the connection between Popularity of the first name Jamesha and Mizuho Financial Group's stock price (MFG). 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 devolve ever further, and mention something completely ridiculous, like you conducted literature review by reading the backs of shampoo bottles.

Here is the title and abstract of the paper:
[[TITLE]]
Mingling of Mizuho: Examining the Effect of the Popularity of the Name Jamesha on Mizuho Financial Group's Stock Price

[[ABSTRACT]]
The stock market has long been an enigma, much like the timeless question: "What do you call a fish wearing a crown? Anemone!" In this paper, we delve into the peculiar connection between the popularity of the first name Jamesha and the stock price of the esteemed Mizuho Financial Group (MFG). With a twinkle in our eye and curiosity in our hearts, we used data from the US Social Security Administration and LSEG Analytics (Refinitiv) to assess this seemingly far-fetched correlation. Our findings revealed a correlation coefficient of 0.8999015 and a significant p-value of < 0.01 for the years 2007 to 2017, leaving us saying, "That's a bullish figure," in more ways than one.

The sight of the name Jamesha may not usually conjure up thoughts of financial influence, but our results suggest otherwise. As we delved deeper into the data, we couldn't help but marvel at the unexpected connection, prompting us to ask, "Why did the finance major bring a ladder to the bar? He heard the drinks were on the house!"

In conclusion, our research sheds a humorous light on the intersection of personal nomenclature and stock market trends, leading us to ponder the truly fascinating nature of correlations. As we navigate the seas of finance and human nomenclature, we leave you with this thought: "Why don't scientists trust atoms? Because they make up everything!"

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The stock market, much like a high-stakes poker game, has always been a captivating arena for enthusiasts and researchers alike. It is a place where numbers dance, and predictions waltz—keeping everyone on their toes. As we wade into the depths of this abyss of data, it's important to keep our spirits afloat and our puns at the ready. Speaking of which, did you hear about the statistician who drowned in a river with an average depth of 6 inches? He really should've seen that coming!
In this paper, we set out to investigate an unconventional pairing: the popularity of the first name Jamesha and the stock price dynamics of the revered Mizuho Financial Group (MFG). It's a bit like mixing oil and water, but as researchers, we thrive on stirring things up. We obtained data from the US Social Security Administration and LSEG Analytics (Refinitiv) and dived into the waves of statistics with the buoyancy of a rubber duck. Just like a good dad joke, our investigation might seem instantly funny, but with time and understanding, it may reveal layers of complexity.
As we embarked on this journey, we couldn't help but ponder, "Why did the researcher go to art school? To study the correlation between brushstrokes and money laundering!" It's moments like these that remind us of the unexpected twists that research can reveal, much like finding out that your favorite scientist's first name is actually 'Phil.'
Stay tuned as we unpack the surprising statistical findings that emerge when the whimsical world of names collides with the steadfast realm of finance. Our data isn't just number-crunching; it's a journey of discovery and delight, akin to realizing that 6.9% of statistics are not actually made up.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

Several studies have delved into the impact of personal names on various aspects of life, shedding light on the intricate fabric of human society. Smith's analysis in "The Influence of Personal Names on Social Perception" uncovers the subtle ways in which names influence individuals' impressions. Meanwhile, Doe's work in "The Psychology of Naming" highlights the psychological nuances associated with personal nomenclature, providing a rich tapestry of insight.

Jones, in "The Economics of Naming: A Financial Perspective," delves into the potential correlation between personal names and financial markets, laying the groundwork for our research. The author's exploration provides a curious lens through which to examine our own findings, akin to stumbling upon a treasure trove of puns in a sea of serious literature.

Moving beyond the realm of academic literature, non-fiction works such as "Freakonomics" and "Blink" by Levitt and Dubner, and Malcolm Gladwell, respectively, offer compelling perspectives on unconventional correlations and the intricacies of decision-making. These works serve as a source of inspiration, reminding us that the unexpected is often where groundbreaking revelations lie hidden, much like finding unexpected wisdom in a fortune cookie.

In the realm of fiction, the captivating narratives of "The Name of the Wind" by Patrick Rothfuss and "The Shadow of the Wind" by Carlos Ruiz Zafón beckon readers into the labyrinthine world of names and their mysterious allure. These enchanting tales remind us that there is a certain magic in names, much like realizing that the person behind groundbreaking research is named John Doe.

In our pursuit of comprehensive understanding, we uncovered unexpected sources of insight, including the backs of shampoo bottles (postulated to contain the secrets of the universe, as well as endless instructions for lathering and rinsing). While these sources might seem lighthearted, they surprisingly yielded profound revelations, much like stumbling upon a joke in the footnotes of an economics journal.


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

Please make up the methodology section of an academic research paper presenting the findings of the connection between Popularity of the first name Jamesha and Mizuho Financial Group's stock price (MFG). 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 US Social Security Administration and LSEG Analytics (Refinitiv) . You used data from 2007 to 2017

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]]
Mingling of Mizuho: Examining the Effect of the Popularity of the Name Jamesha on Mizuho Financial Group's Stock Price

[[ABSTRACT]]
The stock market has long been an enigma, much like the timeless question: "What do you call a fish wearing a crown? Anemone!" In this paper, we delve into the peculiar connection between the popularity of the first name Jamesha and the stock price of the esteemed Mizuho Financial Group (MFG). With a twinkle in our eye and curiosity in our hearts, we used data from the US Social Security Administration and LSEG Analytics (Refinitiv) to assess this seemingly far-fetched correlation. Our findings revealed a correlation coefficient of 0.8999015 and a significant p-value of < 0.01 for the years 2007 to 2017, leaving us saying, "That's a bullish figure," in more ways than one.

The sight of the name Jamesha may not usually conjure up thoughts of financial influence, but our results suggest otherwise. As we delved deeper into the data, we couldn't help but marvel at the unexpected connection, prompting us to ask, "Why did the finance major bring a ladder to the bar? He heard the drinks were on the house!"

In conclusion, our research sheds a humorous light on the intersection of personal nomenclature and stock market trends, leading us to ponder the truly fascinating nature of correlations. As we navigate the seas of finance and human nomenclature, we leave you with this thought: "Why don't scientists trust atoms? Because they make up everything!"

[[INTRODUCTION]]
The stock market, much like a high-stakes poker game, has always been a captivating arena for enthusiasts and researchers alike. It is a place where numbers dance, and predictions waltz—keeping everyone on their toes. As we wade into the depths of this abyss of data, it's important to keep our spirits afloat and our puns at the ready. Speaking of which, did you hear about the statistician who drowned in a river with an average depth of 6 inches? He really should've seen that coming!
In this paper, we set out to investigate an unconventional pairing: the popularity of the first name Jamesha and the stock price dynamics of the revered Mizuho Financial Group (MFG). It's a bit like mixing oil and water, but as researchers, we thrive on stirring things up. We obtained data from the US Social Security Administration and LSEG Analytics (Refinitiv) and dived into the waves of statistics with the buoyancy of a rubber duck. Just like a good dad joke, our investigation might seem instantly funny, but with time and understanding, it may reveal layers of complexity.
As we embarked on this journey, we couldn't help but ponder, "Why did the researcher go to art school? To study the correlation between brushstrokes and money laundering!" It's moments like these that remind us of the unexpected twists that research can reveal, much like finding out that your favorite scientist's first name is actually 'Phil.'
Stay tuned as we unpack the surprising statistical findings that emerge when the whimsical world of names collides with the steadfast realm of finance. Our data isn't just number-crunching; it's a journey of discovery and delight, akin to realizing that 6.9% of statistics are not actually made up.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To begin our scientific escapade, we harnessed the power of data collection with the tenacity of a squirrel gathering nuts for winter. Our team scoured through the vast repository of the US Social Security Administration's database, where the monikers of countless individuals echoed through the halls of historical record-keeping. We then, with the grace of a bull in a china shop, tangoed into the data mines of LSEG Analytics (Refinitiv), where financial metrics shimmered like gems waiting to be unearthed.

Now, let's talk turkey... or rather, stock price and names! To establish the connection between the popularity of the first name Jamesha and the stock price of the illustrious Mizuho Financial Group (MFG), we harnessed the mystical powers of regression analysis. Much like a wizard summoning magic, we conjured up a model that caressed the data with mathematical incantations, revealing the hidden patterns within. Our model was as subtle as a snowflake in a snowstorm, gently teasing out the relationship between the frequency of the name Jamesha and the fluctuations of MFG stock prices.

After ensuring our data was as clean as a whistle, and not at all dirty like a pig in a mud bath, we applied time-series analysis to capture the dynamic dance between the name Jamesha's popularity and MFG's stock price movement over the period from 2007 to 2017. We broke down the data into quarterly increments, akin to slicing a birthday cake, to savor the nuances of change over time and avoid getting a sugar rush from analyzing the entire dataset at once.

In the spirit of thorough research, we also delved into sentiment analysis of social media chatter surrounding the name Jamesha and MFG stock performance. Like a detective following a trail of breadcrumbs, we combed through tweets, posts, and messages to gauge public sentiment and its possible influence on the stock price. Our sentiment analysis was as keen as a detective's eye, distinguishing between bullish enthusiasm and bearish trepidation in the digital footprint of market discussions.

As a nod to the principle of causality, we peppered our analysis with control variables, ensuring that our findings were as robust as a Sherman tank. With meticulous attention to detail, we teased out the potential impacts of other factors such as macroeconomic indicators, industry events, and even celestial occurrences (because who knows, maybe the lunar phases affect stock prices too!).

With a touch of whimsy and a zest for discovery, our research methodology embraced the unexpected, finding joy in the peculiar and mirth in the mundane. It's a bit like conducting a symphony orchestra where the instruments are data points, and the melody is an insight waiting to be heard.

As we basked in the wondrous realm of statistical exploration, we couldn't help but reflect on the sage advice of the great British statistician Francis Galton, "Whenever you can, count." And that's exactly what we did, counting our way through a landscape of names and stock prices, seeking to unravel the enigmatic dance between the popularity of the first name Jamesha and the undulating rhythms of Mizuho Financial Group's stock price. In the words of Galton, "There's many a slip 'twixt cup and lip," but we ventured forth, sipping from the cup of curiosity, to bring forth our findings and contribute a splash of levity to the world of empirical inquiry.


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

Please make up the results section of an academic research paper presenting the findings of the connection between Popularity of the first name Jamesha and Mizuho Financial Group's stock price (MFG). 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 US Social Security Administration and LSEG Analytics (Refinitiv) .

For the time period 2007 to 2017, you found a correlation 0.8999015, r-squared of 0.8098227, 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]]
Mingling of Mizuho: Examining the Effect of the Popularity of the Name Jamesha on Mizuho Financial Group's Stock Price

[[ABSTRACT]]
The stock market has long been an enigma, much like the timeless question: "What do you call a fish wearing a crown? Anemone!" In this paper, we delve into the peculiar connection between the popularity of the first name Jamesha and the stock price of the esteemed Mizuho Financial Group (MFG). With a twinkle in our eye and curiosity in our hearts, we used data from the US Social Security Administration and LSEG Analytics (Refinitiv) to assess this seemingly far-fetched correlation. Our findings revealed a correlation coefficient of 0.8999015 and a significant p-value of < 0.01 for the years 2007 to 2017, leaving us saying, "That's a bullish figure," in more ways than one.

The sight of the name Jamesha may not usually conjure up thoughts of financial influence, but our results suggest otherwise. As we delved deeper into the data, we couldn't help but marvel at the unexpected connection, prompting us to ask, "Why did the finance major bring a ladder to the bar? He heard the drinks were on the house!"

In conclusion, our research sheds a humorous light on the intersection of personal nomenclature and stock market trends, leading us to ponder the truly fascinating nature of correlations. As we navigate the seas of finance and human nomenclature, we leave you with this thought: "Why don't scientists trust atoms? Because they make up everything!"

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The stock market, much like a high-stakes poker game, has always been a captivating arena for enthusiasts and researchers alike. It is a place where numbers dance, and predictions waltz—keeping everyone on their toes. As we wade into the depths of this abyss of data, it's important to keep our spirits afloat and our puns at the ready. Speaking of which, did you hear about the statistician who drowned in a river with an average depth of 6 inches? He really should've seen that coming!
In this paper, we set out to investigate an unconventional pairing: the popularity of the first name Jamesha and the stock price dynamics of the revered Mizuho Financial Group (MFG). It's a bit like mixing oil and water, but as researchers, we thrive on stirring things up. We obtained data from the US Social Security Administration and LSEG Analytics (Refinitiv) and dived into the waves of statistics with the buoyancy of a rubber duck. Just like a good dad joke, our investigation might seem instantly funny, but with time and understanding, it may reveal layers of complexity.
As we embarked on this journey, we couldn't help but ponder, "Why did the researcher go to art school? To study the correlation between brushstrokes and money laundering!" It's moments like these that remind us of the unexpected twists that research can reveal, much like finding out that your favorite scientist's first name is actually 'Phil.'
Stay tuned as we unpack the surprising statistical findings that emerge when the whimsical world of names collides with the steadfast realm of finance. Our data isn't just number-crunching; it's a journey of discovery and delight, akin to realizing that 6.9% of statistics are not actually made up.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

Upon examining the data, we found a strong positive correlation between the popularity of the first name Jamesha and the stock price of Mizuho Financial Group (MFG) for the period of 2007 to 2017. The correlation coefficient revealed a staggering 0.8999015, indicating a remarkably robust relationship between the two variables. It's as if Jamesha's popularity has been whispering stock secrets to us all along, leaving us to wonder, "What do you call a financial advisor with no clothes on? A nude-vestor!"

The r-squared value of 0.8098227 further cemented the strength of this correlation, signifying that approximately 81% of the variability in MFG's stock price can be explained by the popularity of the name Jamesha. As the results unfolded, we couldn't help but exclaim, "That's quite an r-squared ting!" The combination of these statistics paints a compelling picture of the influence wielded by a simple name, leading us to ask, "Why did the quant go broke? He tried to use imaginary numbers in the stock market!"

Furthermore, the p-value of < 0.01 attested to the statistical significance of our findings, providing strong evidence against the null hypothesis that there is no relationship between the name Jamesha's popularity and MFG's stock price. This p-value had us feeling like we had hit the jackpot in statistical analysis, prompting us to quip, "I used to be a banker, but then I lost interest."

Finally, to visually encapsulate the strength of the correlation, Fig. 1 presents a scatterplot showcasing the unmistakable upward trend between the popularity of the name Jamesha and MFG's stock price. Looking at the scatterplot, one can't help but marvel at the seemingly whimsical connection, leaving us to ponder, "Why did the mathematician get stuck in traffic? Because she took the elliptical route!"

These results not only shed light on a curious intersection between personal nomenclature and stock market dynamics but also emphasize the importance of considering unconventional factors in financial analysis. As we conclude this segment of our research, we are reminded of the words of wisdom shared by Albert Einstein, "Not everything that counts can be counted, and not everything that's counted truly counts... unless we're talking about stock prices and names, of course!"


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

Please make up the discussion section of an academic research paper presenting the findings of the connection between Popularity of the first name Jamesha and Mizuho Financial Group's stock price (MFG). 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]]
Mingling of Mizuho: Examining the Effect of the Popularity of the Name Jamesha on Mizuho Financial Group's Stock Price

[[ABSTRACT]]
The stock market has long been an enigma, much like the timeless question: "What do you call a fish wearing a crown? Anemone!" In this paper, we delve into the peculiar connection between the popularity of the first name Jamesha and the stock price of the esteemed Mizuho Financial Group (MFG). With a twinkle in our eye and curiosity in our hearts, we used data from the US Social Security Administration and LSEG Analytics (Refinitiv) to assess this seemingly far-fetched correlation. Our findings revealed a correlation coefficient of 0.8999015 and a significant p-value of < 0.01 for the years 2007 to 2017, leaving us saying, "That's a bullish figure," in more ways than one.

The sight of the name Jamesha may not usually conjure up thoughts of financial influence, but our results suggest otherwise. As we delved deeper into the data, we couldn't help but marvel at the unexpected connection, prompting us to ask, "Why did the finance major bring a ladder to the bar? He heard the drinks were on the house!"

In conclusion, our research sheds a humorous light on the intersection of personal nomenclature and stock market trends, leading us to ponder the truly fascinating nature of correlations. As we navigate the seas of finance and human nomenclature, we leave you with this thought: "Why don't scientists trust atoms? Because they make up everything!"

[[LITERATURE REVIEW]]
Several studies have delved into the impact of personal names on various aspects of life, shedding light on the intricate fabric of human society. Smith's analysis in "The Influence of Personal Names on Social Perception" uncovers the subtle ways in which names influence individuals' impressions. Meanwhile, Doe's work in "The Psychology of Naming" highlights the psychological nuances associated with personal nomenclature, providing a rich tapestry of insight.
Jones, in "The Economics of Naming: A Financial Perspective," delves into the potential correlation between personal names and financial markets, laying the groundwork for our research. The author's exploration provides a curious lens through which to examine our own findings, akin to stumbling upon a treasure trove of puns in a sea of serious literature.
Moving beyond the realm of academic literature, non-fiction works such as "Freakonomics" and "Blink" by Levitt and Dubner, and Malcolm Gladwell, respectively, offer compelling perspectives on unconventional correlations and the intricacies of decision-making. These works serve as a source of inspiration, reminding us that the unexpected is often where groundbreaking revelations lie hidden, much like finding unexpected wisdom in a fortune cookie.
In the realm of fiction, the captivating narratives of "The Name of the Wind" by Patrick Rothfuss and "The Shadow of the Wind" by Carlos Ruiz Zafón beckon readers into the labyrinthine world of names and their mysterious allure. These enchanting tales remind us that there is a certain magic in names, much like realizing that the person behind groundbreaking research is named John Doe.
In our pursuit of comprehensive understanding, we uncovered unexpected sources of insight, including the backs of shampoo bottles (postulated to contain the secrets of the universe, as well as endless instructions for lathering and rinsing). While these sources might seem lighthearted, they surprisingly yielded profound revelations, much like stumbling upon a joke in the footnotes of an economics journal.

[[RESULTS]]
Upon examining the data, we found a strong positive correlation between the popularity of the first name Jamesha and the stock price of Mizuho Financial Group (MFG) for the period of 2007 to 2017. The correlation coefficient revealed a staggering 0.8999015, indicating a remarkably robust relationship between the two variables. It's as if Jamesha's popularity has been whispering stock secrets to us all along, leaving us to wonder, "What do you call a financial advisor with no clothes on? A nude-vestor!"
The r-squared value of 0.8098227 further cemented the strength of this correlation, signifying that approximately 81% of the variability in MFG's stock price can be explained by the popularity of the name Jamesha. As the results unfolded, we couldn't help but exclaim, "That's quite an r-squared ting!" The combination of these statistics paints a compelling picture of the influence wielded by a simple name, leading us to ask, "Why did the quant go broke? He tried to use imaginary numbers in the stock market!"
Furthermore, the p-value of < 0.01 attested to the statistical significance of our findings, providing strong evidence against the null hypothesis that there is no relationship between the name Jamesha's popularity and MFG's stock price. This p-value had us feeling like we had hit the jackpot in statistical analysis, prompting us to quip, "I used to be a banker, but then I lost interest."
Finally, to visually encapsulate the strength of the correlation, Fig. 1 presents a scatterplot showcasing the unmistakable upward trend between the popularity of the name Jamesha and MFG's stock price. Looking at the scatterplot, one can't help but marvel at the seemingly whimsical connection, leaving us to ponder, "Why did the mathematician get stuck in traffic? Because she took the elliptical route!"
These results not only shed light on a curious intersection between personal nomenclature and stock market dynamics but also emphasize the importance of considering unconventional factors in financial analysis. As we conclude this segment of our research, we are reminded of the words of wisdom shared by Albert Einstein, "Not everything that counts can be counted, and not everything that's counted truly counts... unless we're talking about stock prices and names, of course!"

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The findings of our research robustly supported prior studies that hinted at the influence of personal names on various facets of life. In particular, Jones' economic exploration set the stage for our investigation, much like a well-timed punchline setting up the climax of a comedic act. While initially met with skepticism, the results of this study have left us with a newfound appreciation for the unexpected, causing us to quip, "Who knew that 'Jamesha' would become synonymous with 'market trends'?"

Our results demonstrated a striking positive correlation between the popularity of the first name Jamesha and the stock price of Mizuho Financial Group (MFG) from 2007 to 2017. This strong correlation coefficient of 0.8999015 sends a clear message: "When it comes to finance, James-has got it going on!" It is as if the name Jamesha has been quietly signalling financial prowess, leading us to jest, "It's not just MFG; it's Mizuho's Good Fortunes, brought to you by Jamesha."

Just as the literature review hinted at the unexpected insights gleaned from non-conventional sources, our findings reaffirmed the potent connection between personal nomenclature and market dynamics. The results were so significant that they had us exclaiming, "This correlation has got more bounce than a high-yield bond!”. Although our initial pursuit may have seemed far-fetched, the data has brought us to the realization that in the realm of research, "What seems odd at first glance may just be the odd-looking key to new discoveries in disguise."

Our study, much like a punchline in a serious conversation, dares the academic world to embrace a more whimsical exploration of seemingly unrelated variables. As we continue to unravel the complexities of financial markets, we are reminded of the importance of looking beyond traditional factors, inspiring us to say, "When life gives you linear relationships, make scatterplots!”


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

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Popularity of the first name Jamesha and Mizuho Financial Group's stock price (MFG). 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]]
Mingling of Mizuho: Examining the Effect of the Popularity of the Name Jamesha on Mizuho Financial Group's Stock Price

[[ABSTRACT]]
The stock market has long been an enigma, much like the timeless question: "What do you call a fish wearing a crown? Anemone!" In this paper, we delve into the peculiar connection between the popularity of the first name Jamesha and the stock price of the esteemed Mizuho Financial Group (MFG). With a twinkle in our eye and curiosity in our hearts, we used data from the US Social Security Administration and LSEG Analytics (Refinitiv) to assess this seemingly far-fetched correlation. Our findings revealed a correlation coefficient of 0.8999015 and a significant p-value of < 0.01 for the years 2007 to 2017, leaving us saying, "That's a bullish figure," in more ways than one.

The sight of the name Jamesha may not usually conjure up thoughts of financial influence, but our results suggest otherwise. As we delved deeper into the data, we couldn't help but marvel at the unexpected connection, prompting us to ask, "Why did the finance major bring a ladder to the bar? He heard the drinks were on the house!"

In conclusion, our research sheds a humorous light on the intersection of personal nomenclature and stock market trends, leading us to ponder the truly fascinating nature of correlations. As we navigate the seas of finance and human nomenclature, we leave you with this thought: "Why don't scientists trust atoms? Because they make up everything!"

[[INTRDUCTION]]
The stock market, much like a high-stakes poker game, has always been a captivating arena for enthusiasts and researchers alike. It is a place where numbers dance, and predictions waltz—keeping everyone on their toes. As we wade into the depths of this abyss of data, it's important to keep our spirits afloat and our puns at the ready. Speaking of which, did you hear about the statistician who drowned in a river with an average depth of 6 inches? He really should've seen that coming!
In this paper, we set out to investigate an unconventional pairing: the popularity of the first name Jamesha and the stock price dynamics of the revered Mizuho Financial Group (MFG). It's a bit like mixing oil and water, but as researchers, we thrive on stirring things up. We obtained data from the US Social Security Administration and LSEG Analytics (Refinitiv) and dived into the waves of statistics with the buoyancy of a rubber duck. Just like a good dad joke, our investigation might seem instantly funny, but with time and understanding, it may reveal layers of complexity.
As we embarked on this journey, we couldn't help but ponder, "Why did the researcher go to art school? To study the correlation between brushstrokes and money laundering!" It's moments like these that remind us of the unexpected twists that research can reveal, much like finding out that your favorite scientist's first name is actually 'Phil.'
Stay tuned as we unpack the surprising statistical findings that emerge when the whimsical world of names collides with the steadfast realm of finance. Our data isn't just number-crunching; it's a journey of discovery and delight, akin to realizing that 6.9% of statistics are not actually made up.

[[RESULTS]]
Upon examining the data, we found a strong positive correlation between the popularity of the first name Jamesha and the stock price of Mizuho Financial Group (MFG) for the period of 2007 to 2017. The correlation coefficient revealed a staggering 0.8999015, indicating a remarkably robust relationship between the two variables. It's as if Jamesha's popularity has been whispering stock secrets to us all along, leaving us to wonder, "What do you call a financial advisor with no clothes on? A nude-vestor!"
The r-squared value of 0.8098227 further cemented the strength of this correlation, signifying that approximately 81% of the variability in MFG's stock price can be explained by the popularity of the name Jamesha. As the results unfolded, we couldn't help but exclaim, "That's quite an r-squared ting!" The combination of these statistics paints a compelling picture of the influence wielded by a simple name, leading us to ask, "Why did the quant go broke? He tried to use imaginary numbers in the stock market!"
Furthermore, the p-value of < 0.01 attested to the statistical significance of our findings, providing strong evidence against the null hypothesis that there is no relationship between the name Jamesha's popularity and MFG's stock price. This p-value had us feeling like we had hit the jackpot in statistical analysis, prompting us to quip, "I used to be a banker, but then I lost interest."
Finally, to visually encapsulate the strength of the correlation, Fig. 1 presents a scatterplot showcasing the unmistakable upward trend between the popularity of the name Jamesha and MFG's stock price. Looking at the scatterplot, one can't help but marvel at the seemingly whimsical connection, leaving us to ponder, "Why did the mathematician get stuck in traffic? Because she took the elliptical route!"
These results not only shed light on a curious intersection between personal nomenclature and stock market dynamics but also emphasize the importance of considering unconventional factors in financial analysis. As we conclude this segment of our research, we are reminded of the words of wisdom shared by Albert Einstein, "Not everything that counts can be counted, and not everything that's counted truly counts... unless we're talking about stock prices and names, of course!"

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In wrapping up our expedition through the unexplored territory of name popularity and stock prices, we find ourselves facing a sea of correlation where the tides of Jamesha's popularity seem to be irrevocably linked to the fortunes of Mizuho Financial Group's stock. It's as if the financial world says to Jamesha, "You're quite the shrewd shareholder!"

The significant correlation coefficient, robust r-squared value, and minuscule p-value have led us to a wealth of statistical inferences, unlike the time when scientists actually did try to trust atoms and ended up with a mass of uncountable charge. Our research strutted into the realms of finance and nomenclature, proving that while names might seem ordinary, their influence on the stock market is far from run-of-the-mill, much like discovering an atomic nucleus on a leisurely Sunday stroll.

As we tie a bow on this peculiar correlation, we must now assert that no further research is required in this area. We've put the final nail in the coffin of causation and named it! It's time to bid farewell to the Jamesha-MFG saga and say, "Why don't we ever tell secrets on a farm? While the potatoes have eyes, the corn has ears!" No more secrets, no more statistical wizardry—our findings stand tall and proud, much like a stock portfolio after a bull run.

So, with a grin and a dash of statistical charm, we sign off on this whimsical exploration, leaving you with the thought that when it comes to the stock market, even names can make a difference, just like adding salt to a recipe. Thank you for being part of this journey, and may your future research be as surprising and delightful as the correlation between Jamesha and MFG's stock price. And remember, despite its punny nature, no more research is needed in this area!


Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of academic journals. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding research, scientific, or academic journal that would publish a paper entited Mingling of Mizuho: Examining the Effect of the Popularity of the Name Jamesha on Mizuho Financial Group's Stock Price. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Finance and Funky Phenomena


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 Mingling of Mizuho: Examining the Effect of the Popularity of the Name Jamesha on Mizuho Financial Group's Stock Price. Respond only with the name of a fictional organization.

ChatGPT:

Meridian Institute for Behavioral Economics and Financial Studies


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 Mingling of Mizuho: Examining the Effect of the Popularity of the Name Jamesha on Mizuho Financial Group's Stock Price with an abstract of The stock market has long been an enigma, much like the timeless question: "What do you call a fish wearing a crown? Anemone!" In this paper, we delve into the peculiar connection between the popularity of the first name Jamesha and the stock price of the esteemed Mizuho Financial Group (MFG). With a twinkle in our eye and curiosity in our hearts, we used data from the US Social Security Administration and LSEG Analytics (Refinitiv) to assess this seemingly far-fetched correlation. Our findings revealed a correlation coefficient of 0.8999015 and a significant p-value of < 0.01 for the years 2007 to 2017, leaving us saying, "That's a bullish figure," in more ways than one.
The sight of the name Jamesha may not usually conjure up thoughts of financial influence, but our results suggest otherwise. As we delved deeper into the data, we couldn't help but marvel at the unexpected connection, prompting us to ask, "Why did the finance major bring a ladder to the bar? He heard the drinks were on the house!"
In conclusion, our research sheds a humorous light on the intersection of personal nomenclature and stock market trends, leading us to ponder the truly fascinating nature of correlations. As we navigate the seas of finance and human nomenclature, we leave you with this thought: "Why don't scientists trust atoms? Because they make up everything!

ChatGPT:

Mizuho Financial Group, Jamesha, stock price, correlation, US Social Security Administration, LSEG Analytics, Refinitiv, finance, stock market trends, personal nomenclature, correlation coefficient, p-value, data analysis, financial influence

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



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Data details

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

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

See what else correlates with Mizuho Financial Group's stock price (MFG)

Correlation r = 0.8999015 (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 = 0.8098227 (Coefficient of determination)
This means 81% of the change in the one variable (i.e., Mizuho Financial Group's stock price (MFG)) is predictable based on the change in the other (i.e., Popularity of the first name Jamesha) over the 11 years from 2007 through 2017.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.000161. 0.0001606582979464705200000000
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 0.9 in 0.0161% of random cases. Said differently, if you correlated 6,224 random variables Which I absolutely did.
with the same 10 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 10 because we have two variables measured over a period of 11 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.

[ 0.65, 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.
20072008200920102011201220132014201520162017
Popularity of the first name Jamesha (Babies born)44253020121614131399
Mizuho Financial Group's stock price (MFG) (Stock price)14.559.546.673.563.792.723.754.353.393.973.57




Why this works

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




Try it yourself

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

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

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

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

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

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

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

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

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


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

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

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

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

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([44,25,30,20,12,16,14,13,13,9,9,])
array_2 = np.array([14.55,9.54,6.67,3.56,3.79,2.72,3.75,4.35,3.39,3.97,3.57,])
array_1_name = "Popularity of the first name Jamesha"
array_2_name = "Mizuho Financial Group's stock price (MFG)"

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

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



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You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.

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

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

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Correlation ID: 2823 · Black Variable ID: 4065 · Red Variable ID: 1751
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