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Spurious correlation #5,125 · 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 'balloon boy' meme and the second variable is Wind power generated in Fiji.  The chart goes from 2009 to 2021, and the two variables track closely in value over that time. Small Image
Download png
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AI explanation

As the 'balloon boy' meme deflated in popularity, it created a shortage of hot air in the online space. This shortage of hot air somehow led to a decrease in wind power generated in Fiji, leaving the whole situation quite up in the air.

Create a meme inspired by the balloon boy meme that in some way references Wind power generated in Fiji. Try to emulate the style of the meme - don’t violate the copyright, just make it look and feel like the original meme.
This image generation prompt was also generated by AI, using the following sequence:

*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 'balloon boy' meme caused Wind power generated in Fiji to decrease. Include one good pun.

AI academic paper

(Because p < 0.01)
Gone with the Wind: The Balloon Boy Meme's Inflated Influence on Fiji's Wind Power Generation

The International Journal of Meme 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 goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.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 'balloon boy' meme and Wind power generated in Fiji. Make lots of jokes, goofy observations, and puns.

Make the title seem clever.

Your research team used data from Google Trends and Energy Information Administration to assess this nagging question. You found a correlation coefficient of 0.9426857 and p < 0.01 for 2009 to 2021.

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]]
Gone with the Wind: The Balloon Boy Meme's Inflated Influence on Fiji's Wind Power Generation

[[ABSTRACT]]
In this paper, we embark on a whimsical journey to investigate the peculiar correlation between the popularity of the 'balloon boy' meme and the wind power generated in Fiji. Against the backdrop of a seemingly unlikely pairing, our research employed data from Google Trends and the Energy Information Administration to unravel this enigmatic connection. Merging the realms of internet culture and renewable energy, we discovered a striking correlation coefficient of 0.9426857 and a p-value of less than 0.01 for the time period spanning from 2009 to 2021.

As we wade through the turbulent winds of statistical analysis, it becomes evident that the balloon boy meme, much like a gust of wind, exerts a peculiar influence on the wind power generation in Fiji. While some may find it as light as air, our findings suggest that there is a tangible relationship at play – a correlation that insists on making its presence known amid the currents of data.

Through a lens that is equal parts whimsy and rigor, our study ponders the ethereal dance between internet phenomena and sustainable energy sources. We invite readers to join us in untangling this unlikely union, and perhaps, in doing so, gain a newfound appreciation for the power of unexpected correlations - both statistical and comedic.


Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.You draft the 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 'balloon boy' meme and Wind power generated in Fiji. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Here is the title and abstract of the paper:
[[TITLE]]
Gone with the Wind: The Balloon Boy Meme's Inflated Influence on Fiji's Wind Power Generation

[[ABSTRACT]]
In this paper, we embark on a whimsical journey to investigate the peculiar correlation between the popularity of the 'balloon boy' meme and the wind power generated in Fiji. Against the backdrop of a seemingly unlikely pairing, our research employed data from Google Trends and the Energy Information Administration to unravel this enigmatic connection. Merging the realms of internet culture and renewable energy, we discovered a striking correlation coefficient of 0.9426857 and a p-value of less than 0.01 for the time period spanning from 2009 to 2021.

As we wade through the turbulent winds of statistical analysis, it becomes evident that the balloon boy meme, much like a gust of wind, exerts a peculiar influence on the wind power generation in Fiji. While some may find it as light as air, our findings suggest that there is a tangible relationship at play – a correlation that insists on making its presence known amid the currents of data.

Through a lens that is equal parts whimsy and rigor, our study ponders the ethereal dance between internet phenomena and sustainable energy sources. We invite readers to join us in untangling this unlikely union, and perhaps, in doing so, gain a newfound appreciation for the power of unexpected correlations - both statistical and comedic.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
Introduction

The concept of unexpected correlations has long fascinated researchers, akin to stumbling upon a windy day in the heart of a tropical paradise. In this paper, we delve into the curious relationship between the popularity of the 'balloon boy' meme and the wind power generated in the idyllic archipelago of Fiji. Much like the unpredictable gusts of wind, the rise and fall of internet memes can often leave us in a state of delightful bewilderment.

As we embark on this whimsical journey, we are met with the unyielding force of statistical analysis and the playful dance of internet culture. The 'balloon boy' meme, originating from the infamous case of the 2009 Colorado balloon hoax, took flight in the digital sphere, capturing the imagination of netizens worldwide. Its buoyant presence seemed to echo the wind currents themselves, weaving its way into the fabric of popular consciousness.

Fiji, a nation renowned for its stunning landscapes and pristine breezes, stands as the backdrop for our investigation. Here, among the swaying palms and azure horizons, the wind turbines of Fiji's renewable energy infrastructure spin and whir, creating a tangible link to the ethereal realm of internet memes. This unlikely union of elements serves as the crux of our study, as we endeavor to unravel the mystery behind the 'balloon boy' meme's enigmatic influence on wind power generation.

While some may view this correlation as a flight of fancy, our research endeavors to demonstrate the presence of a tangible relationship - much like the elusive zephyrs that grace Fiji's shores. By employing data from Google Trends and the Energy Information Administration, we have harnessed the winds of empirical evidence to substantiate our findings. The winds of data have whispered to us of a striking correlation coefficient of 0.9426857 and a p-value that beckons attention at less than 0.01, spanning from 2009 to 2021.

In the pages that follow, we invite our readers to join us in this delightful plunge into the intersection of internet culture and renewable energy. Together, we shall unfurl the sails of statistical analysis and navigate the uncharted waters of humor and wonder. For in the realm of research, as in life, it is often the unexpected correlations that inspire the most awe and provide the most entertaining anecdotes at academic conferences.


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

Please make up a literature review section of an academic research paper presenting the findings of the connection between Popularity of the 'balloon boy' meme and Wind power generated in Fiji. Make lots of jokes, goofy observations, and puns.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name some movies that you watched that are tangentially related to the topic.

Here is the title and abstract of the paper:
[[TITLE]]
Gone with the Wind: The Balloon Boy Meme's Inflated Influence on Fiji's Wind Power Generation

[[ABSTRACT]]
In this paper, we embark on a whimsical journey to investigate the peculiar correlation between the popularity of the 'balloon boy' meme and the wind power generated in Fiji. Against the backdrop of a seemingly unlikely pairing, our research employed data from Google Trends and the Energy Information Administration to unravel this enigmatic connection. Merging the realms of internet culture and renewable energy, we discovered a striking correlation coefficient of 0.9426857 and a p-value of less than 0.01 for the time period spanning from 2009 to 2021.

As we wade through the turbulent winds of statistical analysis, it becomes evident that the balloon boy meme, much like a gust of wind, exerts a peculiar influence on the wind power generation in Fiji. While some may find it as light as air, our findings suggest that there is a tangible relationship at play – a correlation that insists on making its presence known amid the currents of data.

Through a lens that is equal parts whimsy and rigor, our study ponders the ethereal dance between internet phenomena and sustainable energy sources. We invite readers to join us in untangling this unlikely union, and perhaps, in doing so, gain a newfound appreciation for the power of unexpected correlations - both statistical and comedic.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
Introduction
The concept of unexpected correlations has long fascinated researchers, akin to stumbling upon a windy day in the heart of a tropical paradise. In this paper, we delve into the curious relationship between the popularity of the 'balloon boy' meme and the wind power generated in the idyllic archipelago of Fiji. Much like the unpredictable gusts of wind, the rise and fall of internet memes can often leave us in a state of delightful bewilderment.
As we embark on this whimsical journey, we are met with the unyielding force of statistical analysis and the playful dance of internet culture. The 'balloon boy' meme, originating from the infamous case of the 2009 Colorado balloon hoax, took flight in the digital sphere, capturing the imagination of netizens worldwide. Its buoyant presence seemed to echo the wind currents themselves, weaving its way into the fabric of popular consciousness.
Fiji, a nation renowned for its stunning landscapes and pristine breezes, stands as the backdrop for our investigation. Here, among the swaying palms and azure horizons, the wind turbines of Fiji's renewable energy infrastructure spin and whir, creating a tangible link to the ethereal realm of internet memes. This unlikely union of elements serves as the crux of our study, as we endeavor to unravel the mystery behind the 'balloon boy' meme's enigmatic influence on wind power generation.
While some may view this correlation as a flight of fancy, our research endeavors to demonstrate the presence of a tangible relationship - much like the elusive zephyrs that grace Fiji's shores. By employing data from Google Trends and the Energy Information Administration, we have harnessed the winds of empirical evidence to substantiate our findings. The winds of data have whispered to us of a striking correlation coefficient of 0.9426857 and a p-value that beckons attention at less than 0.01, spanning from 2009 to 2021.
In the pages that follow, we invite our readers to join us in this delightful plunge into the intersection of internet culture and renewable energy. Together, we shall unfurl the sails of statistical analysis and navigate the uncharted waters of humor and wonder. For in the realm of research, as in life, it is often the unexpected correlations that inspire the most awe and provide the most entertaining anecdotes at academic conferences.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

Smith et al. (2010) explored the influence of internet memes on societal constructs, focusing on the rapid dissemination and cultural impact of viral content. Doe (2012) delved into the nuanced interplay between digital phenomena and environmental factors, positing that the whims of internet culture may, in fact, exert unforeseen influences on ecological systems. Jones (2015) examined the societal implications of 21st-century memes, shedding light on their intricate ties to collective social consciousness and, surprisingly, renewable energy sources.

Turning to more tangential sources, "The Wind Power Handbook" by Burton et al. (2011) provided a comprehensive overview of wind power generation, offering insights into the mechanics and potential of harnessing wind energy. In a similar vein, "Gone with the Wind" by Mitchell (1936) painted a vivid picture of the antebellum South, albeit with a notable absence of balloon-related memes. On the fictional side, "The Kite Runner" by Hosseini (2003) whisked readers away to the windswept landscapes of Afghanistan, evoking a tangential connection to the theme of aerial objects.

In our quest for interdisciplinary inspiration, the researchers also drew upon select cinematic experiences. Films such as "Up" (2009) and "The Red Balloon" (1956) offered whimsical glimpses into the world of airborne objects, albeit without offering direct insights into wind power generation or Fijian memes. Nevertheless, the spirit of curiosity and levity embedded within each cinematic narrative proved to be a guiding light in the researchers' examination of the peculiar phenomenon at hand.


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

Please make up the methodology section of an academic research paper presenting the findings of the connection between Popularity of the 'balloon boy' meme and Wind power generated in Fiji. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from Google Trends and Energy Information Administration . You used data from 2009 to 2021

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]]
Gone with the Wind: The Balloon Boy Meme's Inflated Influence on Fiji's Wind Power Generation

[[ABSTRACT]]
In this paper, we embark on a whimsical journey to investigate the peculiar correlation between the popularity of the 'balloon boy' meme and the wind power generated in Fiji. Against the backdrop of a seemingly unlikely pairing, our research employed data from Google Trends and the Energy Information Administration to unravel this enigmatic connection. Merging the realms of internet culture and renewable energy, we discovered a striking correlation coefficient of 0.9426857 and a p-value of less than 0.01 for the time period spanning from 2009 to 2021.

As we wade through the turbulent winds of statistical analysis, it becomes evident that the balloon boy meme, much like a gust of wind, exerts a peculiar influence on the wind power generation in Fiji. While some may find it as light as air, our findings suggest that there is a tangible relationship at play – a correlation that insists on making its presence known amid the currents of data.

Through a lens that is equal parts whimsy and rigor, our study ponders the ethereal dance between internet phenomena and sustainable energy sources. We invite readers to join us in untangling this unlikely union, and perhaps, in doing so, gain a newfound appreciation for the power of unexpected correlations - both statistical and comedic.

[[INTRODUCTION]]
Introduction
The concept of unexpected correlations has long fascinated researchers, akin to stumbling upon a windy day in the heart of a tropical paradise. In this paper, we delve into the curious relationship between the popularity of the 'balloon boy' meme and the wind power generated in the idyllic archipelago of Fiji. Much like the unpredictable gusts of wind, the rise and fall of internet memes can often leave us in a state of delightful bewilderment.
As we embark on this whimsical journey, we are met with the unyielding force of statistical analysis and the playful dance of internet culture. The 'balloon boy' meme, originating from the infamous case of the 2009 Colorado balloon hoax, took flight in the digital sphere, capturing the imagination of netizens worldwide. Its buoyant presence seemed to echo the wind currents themselves, weaving its way into the fabric of popular consciousness.
Fiji, a nation renowned for its stunning landscapes and pristine breezes, stands as the backdrop for our investigation. Here, among the swaying palms and azure horizons, the wind turbines of Fiji's renewable energy infrastructure spin and whir, creating a tangible link to the ethereal realm of internet memes. This unlikely union of elements serves as the crux of our study, as we endeavor to unravel the mystery behind the 'balloon boy' meme's enigmatic influence on wind power generation.
While some may view this correlation as a flight of fancy, our research endeavors to demonstrate the presence of a tangible relationship - much like the elusive zephyrs that grace Fiji's shores. By employing data from Google Trends and the Energy Information Administration, we have harnessed the winds of empirical evidence to substantiate our findings. The winds of data have whispered to us of a striking correlation coefficient of 0.9426857 and a p-value that beckons attention at less than 0.01, spanning from 2009 to 2021.
In the pages that follow, we invite our readers to join us in this delightful plunge into the intersection of internet culture and renewable energy. Together, we shall unfurl the sails of statistical analysis and navigate the uncharted waters of humor and wonder. For in the realm of research, as in life, it is often the unexpected correlations that inspire the most awe and provide the most entertaining anecdotes at academic conferences.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

**METHODOLOGY**

**Data Collection**

In the pursuit of unraveling the mysterious connection between the 'balloon boy' meme and wind power generation in Fiji, we navigated the vast expanses of the internet with the expertise of seasoned cyber voyagers. Our data collection process entailed harnessing the power of Google Trends to chart the ebbs and flows of the 'balloon boy' meme's popularity over the years. We embarked on this digital odyssey armed with a trusty compass of keywords and an unwavering determination to map the meme's trajectory with precision.

Simultaneously, we set our sights on the energy landscape of Fiji, tapping into the riches of the Energy Information Administration's databases. Here, amidst the virtual turbines and data currents, we gleaned insights into the wind power generation figures spanning from 2009 to 2021. Like intrepid sailors of empirical inquiry, we charted a course through the sea of numbers, seeking the elusive maelstrom of correlation between the whimsical currents of internet culture and the tangible forces of renewable energy production.

**Crossing the Digital Seas of Statistical Analysis**

With our hoard of data in hand, we anchored ourselves in the harbor of statistical analysis. We hoisted the sails of correlation coefficients, unfurling the standard tools of quantitative research to navigate the tempestuous waters of empirical evidence. The robust statistical software at our disposal served as the sextant and astrolabe of our research vessel, guiding us through the turbulent winds of data analysis with unwavering precision.

Through a series of calculations and tests, we sought to measure the strength and direction of the relationship between the 'balloon boy' meme's popularity and the wind power generated in Fiji. Our steadfast quest for knowledge led us to wield the formidable Spearman's rank correlation coefficient, offering us a compass to gauge the degree of association between these seemingly disparate phenomena. Moreover, we deftly harnessed the p-value, a compass of significance, to discern the veracity of our findings against the backdrop of chance and randomness.

**Navigating the Zephyrs of Curiosity**

Armed with the tools of statistical navigation, we embarked on a journey to unearth the esoteric connection between the buoyant spirit of the 'balloon boy' meme and the tangible force of wind power in Fiji. The course was set, and our determination unwavering, as we sought to demystify this unusual pairing that had eluded scholarly inquiry for so long.

In the pages that follow, we shall divulge the fruits of our intrepid voyage and unveil the synthesis of data, analysis, and the whimsical currents of internet culture. The wind whispers its secrets to those who dare to listen – and as diligent researchers, we heeded the call, ready to bask in the unpredictable zephyrs of curiosity that propel our academic vessel forward.


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

Please make up the results section of an academic research paper presenting the findings of the connection between Popularity of the 'balloon boy' meme and Wind power generated in Fiji. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from Google Trends and Energy Information Administration .

For the time period 2009 to 2021, you found a correlation 0.9426857, r-squared of 0.8886563, 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]]
Gone with the Wind: The Balloon Boy Meme's Inflated Influence on Fiji's Wind Power Generation

[[ABSTRACT]]
In this paper, we embark on a whimsical journey to investigate the peculiar correlation between the popularity of the 'balloon boy' meme and the wind power generated in Fiji. Against the backdrop of a seemingly unlikely pairing, our research employed data from Google Trends and the Energy Information Administration to unravel this enigmatic connection. Merging the realms of internet culture and renewable energy, we discovered a striking correlation coefficient of 0.9426857 and a p-value of less than 0.01 for the time period spanning from 2009 to 2021.

As we wade through the turbulent winds of statistical analysis, it becomes evident that the balloon boy meme, much like a gust of wind, exerts a peculiar influence on the wind power generation in Fiji. While some may find it as light as air, our findings suggest that there is a tangible relationship at play – a correlation that insists on making its presence known amid the currents of data.

Through a lens that is equal parts whimsy and rigor, our study ponders the ethereal dance between internet phenomena and sustainable energy sources. We invite readers to join us in untangling this unlikely union, and perhaps, in doing so, gain a newfound appreciation for the power of unexpected correlations - both statistical and comedic.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
Introduction
The concept of unexpected correlations has long fascinated researchers, akin to stumbling upon a windy day in the heart of a tropical paradise. In this paper, we delve into the curious relationship between the popularity of the 'balloon boy' meme and the wind power generated in the idyllic archipelago of Fiji. Much like the unpredictable gusts of wind, the rise and fall of internet memes can often leave us in a state of delightful bewilderment.
As we embark on this whimsical journey, we are met with the unyielding force of statistical analysis and the playful dance of internet culture. The 'balloon boy' meme, originating from the infamous case of the 2009 Colorado balloon hoax, took flight in the digital sphere, capturing the imagination of netizens worldwide. Its buoyant presence seemed to echo the wind currents themselves, weaving its way into the fabric of popular consciousness.
Fiji, a nation renowned for its stunning landscapes and pristine breezes, stands as the backdrop for our investigation. Here, among the swaying palms and azure horizons, the wind turbines of Fiji's renewable energy infrastructure spin and whir, creating a tangible link to the ethereal realm of internet memes. This unlikely union of elements serves as the crux of our study, as we endeavor to unravel the mystery behind the 'balloon boy' meme's enigmatic influence on wind power generation.
While some may view this correlation as a flight of fancy, our research endeavors to demonstrate the presence of a tangible relationship - much like the elusive zephyrs that grace Fiji's shores. By employing data from Google Trends and the Energy Information Administration, we have harnessed the winds of empirical evidence to substantiate our findings. The winds of data have whispered to us of a striking correlation coefficient of 0.9426857 and a p-value that beckons attention at less than 0.01, spanning from 2009 to 2021.
In the pages that follow, we invite our readers to join us in this delightful plunge into the intersection of internet culture and renewable energy. Together, we shall unfurl the sails of statistical analysis and navigate the uncharted waters of humor and wonder. For in the realm of research, as in life, it is often the unexpected correlations that inspire the most awe and provide the most entertaining anecdotes at academic conferences.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The results of our investigation unveiled a remarkably robust correlation between the popularity of the 'balloon boy' meme and the wind power generated in Fiji. Spanning the years from 2009 to 2021, our correlation coefficient of 0.9426857 left us blown away, figuratively speaking, of course.

Upon close examination, the r-squared value of 0.8886563 further emphasized the substantial influence of the 'balloon boy' meme on the wind power generated in Fiji. It was as if the meme's buoyant presence in the digital sphere echoed through the very turbines that harness Fiji's breezes, creating a harmonious dance between the whimsical and the practical.

In the realm of statistical significance, our findings left little room for doubt. With a p-value of less than 0.01, the correlation persisted like an internet meme that just won't fade into obscurity. While some may find the idea of a meme impacting wind power to be up in the air, our data firmly grounded this notion with compelling evidence.

In Fig. 1, our scatterplot succinctly captures the striking correlation between the 'balloon boy' meme's internet popularity and the wind power generation in Fiji. The points on the plot align like synchronized gusts of wind, underscoring the tight bond between these seemingly disparate elements.

This unexpected correlation, akin to stumbling upon a prosperous breeze in the unlikeliest of places, invites further contemplation. While the winds of statistical analysis may blow where they will, our study presents a compelling case for the playful interplay between internet memes and renewable energy sources. As we bask in the winds of empirical evidence, we remain awe-inspired by the whimsical influence that transcends the digital realm and breathes life into the turbines of Fiji's sustainable energy infrastructure.


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

Please make up the discussion section of an academic research paper presenting the findings of the connection between Popularity of the 'balloon boy' meme and Wind power generated in Fiji. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

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]]
Gone with the Wind: The Balloon Boy Meme's Inflated Influence on Fiji's Wind Power Generation

[[ABSTRACT]]
In this paper, we embark on a whimsical journey to investigate the peculiar correlation between the popularity of the 'balloon boy' meme and the wind power generated in Fiji. Against the backdrop of a seemingly unlikely pairing, our research employed data from Google Trends and the Energy Information Administration to unravel this enigmatic connection. Merging the realms of internet culture and renewable energy, we discovered a striking correlation coefficient of 0.9426857 and a p-value of less than 0.01 for the time period spanning from 2009 to 2021.

As we wade through the turbulent winds of statistical analysis, it becomes evident that the balloon boy meme, much like a gust of wind, exerts a peculiar influence on the wind power generation in Fiji. While some may find it as light as air, our findings suggest that there is a tangible relationship at play – a correlation that insists on making its presence known amid the currents of data.

Through a lens that is equal parts whimsy and rigor, our study ponders the ethereal dance between internet phenomena and sustainable energy sources. We invite readers to join us in untangling this unlikely union, and perhaps, in doing so, gain a newfound appreciation for the power of unexpected correlations - both statistical and comedic.

[[LITERATURE REVIEW]]
Smith et al. (2010) explored the influence of internet memes on societal constructs, focusing on the rapid dissemination and cultural impact of viral content. Doe (2012) delved into the nuanced interplay between digital phenomena and environmental factors, positing that the whims of internet culture may, in fact, exert unforeseen influences on ecological systems. Jones (2015) examined the societal implications of 21st-century memes, shedding light on their intricate ties to collective social consciousness and, surprisingly, renewable energy sources.
Turning to more tangential sources, "The Wind Power Handbook" by Burton et al. (2011) provided a comprehensive overview of wind power generation, offering insights into the mechanics and potential of harnessing wind energy. In a similar vein, "Gone with the Wind" by Mitchell (1936) painted a vivid picture of the antebellum South, albeit with a notable absence of balloon-related memes. On the fictional side, "The Kite Runner" by Hosseini (2003) whisked readers away to the windswept landscapes of Afghanistan, evoking a tangential connection to the theme of aerial objects.
In our quest for interdisciplinary inspiration, the researchers also drew upon select cinematic experiences. Films such as "Up" (2009) and "The Red Balloon" (1956) offered whimsical glimpses into the world of airborne objects, albeit without offering direct insights into wind power generation or Fijian memes. Nevertheless, the spirit of curiosity and levity embedded within each cinematic narrative proved to be a guiding light in the researchers' examination of the peculiar phenomenon at hand.

[[RESULTS]]
The results of our investigation unveiled a remarkably robust correlation between the popularity of the 'balloon boy' meme and the wind power generated in Fiji. Spanning the years from 2009 to 2021, our correlation coefficient of 0.9426857 left us blown away, figuratively speaking, of course.
Upon close examination, the r-squared value of 0.8886563 further emphasized the substantial influence of the 'balloon boy' meme on the wind power generated in Fiji. It was as if the meme's buoyant presence in the digital sphere echoed through the very turbines that harness Fiji's breezes, creating a harmonious dance between the whimsical and the practical.
In the realm of statistical significance, our findings left little room for doubt. With a p-value of less than 0.01, the correlation persisted like an internet meme that just won't fade into obscurity. While some may find the idea of a meme impacting wind power to be up in the air, our data firmly grounded this notion with compelling evidence.
In Fig. 1, our scatterplot succinctly captures the striking correlation between the 'balloon boy' meme's internet popularity and the wind power generation in Fiji. The points on the plot align like synchronized gusts of wind, underscoring the tight bond between these seemingly disparate elements.
This unexpected correlation, akin to stumbling upon a prosperous breeze in the unlikeliest of places, invites further contemplation. While the winds of statistical analysis may blow where they will, our study presents a compelling case for the playful interplay between internet memes and renewable energy sources. As we bask in the winds of empirical evidence, we remain awe-inspired by the whimsical influence that transcends the digital realm and breathes life into the turbines of Fiji's sustainable energy infrastructure.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The robust correlation uncovered between the 'balloon boy' meme's popularity and wind power generation in Fiji leaves us winded from the unexpected synergy between digital whimsy and sustainable energy. While seemingly lighthearted, our findings align with the prior research that has hinted at the unforeseen influences of internet phenomena on societal and environmental constructs.

Smith et al. (2010) helped lay the groundwork for our exploration by emphasizing the rapid dissemination and cultural impact of internet memes – a notion that rings particularly true when considering the balloon boy meme’s pervasive presence in the digital arena. Meanwhile, Doe (2012) added a curious twist by highlighting the potential interplay between digital phenomena and environmental factors, setting the stage for the unorthodox connection unearthed in our study. Similarly, Jones (2015) shed light on the intricate ties of memes to renewable energy sources, a theme that took flight in our investigation, culminating in a statistically significant correlation that beckons further contemplation.

In the realm of interdisciplinary whimsy, our findings echo the spirit of "The Kite Runner" (Hosseini, 2003), albeit with a buoyant twist, as the windswept narratives of the novel find an unexpected parallel in the ethereal influence of an internet meme on wind power. The cinematic inspirations of "Up" (2009) and "The Red Balloon" (1956) reverberate through our study as we unraveled the unexpected dance between meme culture and sustainable energy, much like a synchronized gust of insight.

While it may seem like a whimsical leap to consider a meme's influence on renewable energy, our results firmly grounded this notion with a compelling correlation coefficient of 0.9426857 and a resoundingly low p-value. Our scatterplot, akin to a visual pun, underscored the tight bond between the 'balloon boy' meme and wind power generation, capturing the essence of this unlikely relationship like synchronized gusts of insight.

As we navigate the uncharted territories of digital culture and ecological systems, our study beckons readers to partake in a whimsical contemplation of the unexpected interplay between internet phenomena and renewable energy sources. In doing so, we celebrate the delightful quirks of statistical serendipity and the comedic ripples that may just alter the course of sustainable energy research – one buoyant meme at a time.


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

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Popularity of the 'balloon boy' meme and Wind power generated in Fiji. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

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]]
Gone with the Wind: The Balloon Boy Meme's Inflated Influence on Fiji's Wind Power Generation

[[ABSTRACT]]
In this paper, we embark on a whimsical journey to investigate the peculiar correlation between the popularity of the 'balloon boy' meme and the wind power generated in Fiji. Against the backdrop of a seemingly unlikely pairing, our research employed data from Google Trends and the Energy Information Administration to unravel this enigmatic connection. Merging the realms of internet culture and renewable energy, we discovered a striking correlation coefficient of 0.9426857 and a p-value of less than 0.01 for the time period spanning from 2009 to 2021.

As we wade through the turbulent winds of statistical analysis, it becomes evident that the balloon boy meme, much like a gust of wind, exerts a peculiar influence on the wind power generation in Fiji. While some may find it as light as air, our findings suggest that there is a tangible relationship at play – a correlation that insists on making its presence known amid the currents of data.

Through a lens that is equal parts whimsy and rigor, our study ponders the ethereal dance between internet phenomena and sustainable energy sources. We invite readers to join us in untangling this unlikely union, and perhaps, in doing so, gain a newfound appreciation for the power of unexpected correlations - both statistical and comedic.

[[INTRDUCTION]]
Introduction
The concept of unexpected correlations has long fascinated researchers, akin to stumbling upon a windy day in the heart of a tropical paradise. In this paper, we delve into the curious relationship between the popularity of the 'balloon boy' meme and the wind power generated in the idyllic archipelago of Fiji. Much like the unpredictable gusts of wind, the rise and fall of internet memes can often leave us in a state of delightful bewilderment.
As we embark on this whimsical journey, we are met with the unyielding force of statistical analysis and the playful dance of internet culture. The 'balloon boy' meme, originating from the infamous case of the 2009 Colorado balloon hoax, took flight in the digital sphere, capturing the imagination of netizens worldwide. Its buoyant presence seemed to echo the wind currents themselves, weaving its way into the fabric of popular consciousness.
Fiji, a nation renowned for its stunning landscapes and pristine breezes, stands as the backdrop for our investigation. Here, among the swaying palms and azure horizons, the wind turbines of Fiji's renewable energy infrastructure spin and whir, creating a tangible link to the ethereal realm of internet memes. This unlikely union of elements serves as the crux of our study, as we endeavor to unravel the mystery behind the 'balloon boy' meme's enigmatic influence on wind power generation.
While some may view this correlation as a flight of fancy, our research endeavors to demonstrate the presence of a tangible relationship - much like the elusive zephyrs that grace Fiji's shores. By employing data from Google Trends and the Energy Information Administration, we have harnessed the winds of empirical evidence to substantiate our findings. The winds of data have whispered to us of a striking correlation coefficient of 0.9426857 and a p-value that beckons attention at less than 0.01, spanning from 2009 to 2021.
In the pages that follow, we invite our readers to join us in this delightful plunge into the intersection of internet culture and renewable energy. Together, we shall unfurl the sails of statistical analysis and navigate the uncharted waters of humor and wonder. For in the realm of research, as in life, it is often the unexpected correlations that inspire the most awe and provide the most entertaining anecdotes at academic conferences.

[[RESULTS]]
The results of our investigation unveiled a remarkably robust correlation between the popularity of the 'balloon boy' meme and the wind power generated in Fiji. Spanning the years from 2009 to 2021, our correlation coefficient of 0.9426857 left us blown away, figuratively speaking, of course.
Upon close examination, the r-squared value of 0.8886563 further emphasized the substantial influence of the 'balloon boy' meme on the wind power generated in Fiji. It was as if the meme's buoyant presence in the digital sphere echoed through the very turbines that harness Fiji's breezes, creating a harmonious dance between the whimsical and the practical.
In the realm of statistical significance, our findings left little room for doubt. With a p-value of less than 0.01, the correlation persisted like an internet meme that just won't fade into obscurity. While some may find the idea of a meme impacting wind power to be up in the air, our data firmly grounded this notion with compelling evidence.
In Fig. 1, our scatterplot succinctly captures the striking correlation between the 'balloon boy' meme's internet popularity and the wind power generation in Fiji. The points on the plot align like synchronized gusts of wind, underscoring the tight bond between these seemingly disparate elements.
This unexpected correlation, akin to stumbling upon a prosperous breeze in the unlikeliest of places, invites further contemplation. While the winds of statistical analysis may blow where they will, our study presents a compelling case for the playful interplay between internet memes and renewable energy sources. As we bask in the winds of empirical evidence, we remain awe-inspired by the whimsical influence that transcends the digital realm and breathes life into the turbines of Fiji's sustainable energy infrastructure.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our journey through the windswept realms of statistical analysis and internet culture has proven to be a breezy delight. The robust correlation we uncovered between the 'balloon boy' meme and wind power generated in Fiji has truly blown us away - just like a particularly captivating meme or a strong gust of wind on a blustery day.

From the convincing correlation coefficient of 0.9426857 to the persistent p-value of less than 0.01, our findings have weathered the storm of skepticism, firmly establishing the unexpected link between an internet sensation and sustainable energy generation. Indeed, the 'balloon boy' meme's influence seems to be as persistent as those internet arguments about pineapple on pizza. But unlike those debates, our correlation is backed by solid data that can't be deflated.

As we reflect on the whimsical dance between a viral meme and the practical harnessing of wind power, it becomes clear that, much like a well-crafted pun, the correlation revealed in our research is both surprising and oddly satisfying. While this unexpected connection may seem as unlikely as a penguin in a sauna, the empirical evidence speaks for itself, urging us to embrace the playfulness of statistical anomalies.

In light of our findings, it is evident that further exploration of this curious correlation may yield intriguing insights, but for now, we assert that no more research is needed in this area. After all, in the unpredictable landscape of academic inquiry, it's often the most unexpected correlations that offer the most delightful surprises and the cheesiest research paper puns.


(Note: I hope you found this conclusion to be a breeze and didn't feel like you were just chasing hot air. Remember, when it comes to research, sometimes the most unexpected connections can lead to the most enlightening discoveries. And with that, I'm out like a gust of wind!)


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 Gone with the Wind: The Balloon Boy Meme's Inflated Influence on Fiji's Wind Power Generation. Respond only with the name of a fictional academic journal.

ChatGPT:

The International Journal of Meme 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 Gone with the Wind: The Balloon Boy Meme's Inflated Influence on Fiji's Wind Power Generation. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Quirky Research Advancements (SQRA)


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 Gone with the Wind: The Balloon Boy Meme's Inflated Influence on Fiji's Wind Power Generation with an abstract of In this paper, we embark on a whimsical journey to investigate the peculiar correlation between the popularity of the 'balloon boy' meme and the wind power generated in Fiji. Against the backdrop of a seemingly unlikely pairing, our research employed data from Google Trends and the Energy Information Administration to unravel this enigmatic connection. Merging the realms of internet culture and renewable energy, we discovered a striking correlation coefficient of 0.9426857 and a p-value of less than 0.01 for the time period spanning from 2009 to 2021.
As we wade through the turbulent winds of statistical analysis, it becomes evident that the balloon boy meme, much like a gust of wind, exerts a peculiar influence on the wind power generation in Fiji. While some may find it as light as air, our findings suggest that there is a tangible relationship at play – a correlation that insists on making its presence known amid the currents of data.
Through a lens that is equal parts whimsy and rigor, our study ponders the ethereal dance between internet phenomena and sustainable energy sources. We invite readers to join us in untangling this unlikely union, and perhaps, in doing so, gain a newfound appreciation for the power of unexpected correlations - both statistical and comedic.

ChatGPT:

"balloon boy meme," "Fiji wind power generation," "correlation between meme and wind power," "Google Trends data analysis," "renewable energy statistics," "unconventional correlations," "internet culture impact on energy generation," "whimsical research study," "statistical analysis of meme influence," "Fiji energy data," "unexpected relationships in data."

*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 'balloon boy' meme
Detailed data title: Relative volume of Google searches for 'balloon boy' (without quotes, in the United States)
Source: Google Trends
Additional Info: Relative search volume is a unique Google thing; the shape of the chart is accurate but the actual numbers are meaningless.

See what else correlates with Popularity of the 'balloon boy' meme

Wind power generated in Fiji
Detailed data title: Total wind power generated in Fiji in billion kWh
Source: Energy Information Administration
See what else correlates with Wind power generated in Fiji

Correlation r = 0.9426857 (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 = 0.8886563 (Coefficient of determination)
This means 88.9% of the change in the one variable (i.e., Wind power generated in Fiji) is predictable based on the change in the other (i.e., Popularity of the 'balloon boy' meme) over the 13 years from 2009 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.4E-6. 0.0000014111615354133805000000
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 0.94 in 0.00014% of random cases. Said differently, if you correlated 708,636 random variables You don't actually need 708 thousand 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 12 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 12 because we have two variables measured over a period of 13 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.

[ 0.82, 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.
2009201020112012201320142015201620172018201920202021
Popularity of the 'balloon boy' meme (Relative popularity)37.66671.181821111.61.8333311111.083331
Wind power generated in Fiji (Billion kWh)0.020.0060.0050.0070.0050.0040.0060.0040.0020.00260.00260.00260.0026




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([37.6667,1.18182,1,1,1,1.6,1.83333,1,1,1,1,1.08333,1,])
array_2 = np.array([0.02,0.006,0.005,0.007,0.005,0.004,0.006,0.004,0.002,0.0026,0.0026,0.0026,0.0026,])
array_1_name = "Popularity of the 'balloon boy' meme"
array_2_name = "Wind power generated in Fiji"

# 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: 5125 · Black Variable ID: 25110 · Red Variable ID: 23667
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