Spurious correlation #3,872 · 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 Maeve and the second variable is Solar power generated in Hungary. The chart goes from 2008 to 2021, and the two variables track closely in value over that time.

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Popularity of the first name Maeve and the second variable is Solar power generated in Hungary. The chart goes from 2008 to 2021, and the two variables track closely in value over that time.

AI explanation

As the name Maeve gained popularity, it led to a surge in the number of people doing the "Maeve" dance, a dance move that mimics the graceful movements of wind turbines. This inadvertently created a higher demand for sustainable energy sources, prompting Hungary to invest more in solar power. It's a shining example of how a name can spark a renewable energy revolution!

^{Show image generation prompt} Model: dalle-3
Prompt: [A photo-realistic image] Imagine a vibrant playground teeming with energy as groups of children delight in play and laughter. Amid the laughter, several little girls named Maeve engage in joyous activities. The sunlight grows more intense, causing nearby solar panels to radiate a brilliant glow, providing a substantial influx of solar power for the community of Hungary. 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 Maeve and Solar power generated in Hungary. 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: Glitch art Psychedelic A photo-realistic image Steampunk Charcoal
ChatGPT: A photo-realistic image

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 Maeve and Solar power generated in Hungary, in the following situation: Because as more parents named their children Maeve, the collective positive energy from all the little Maeves radiated across the world, enhancing the power of the sun in Hungary, thereby increasing solar power generation. It's just science, people!. Keep the description simple.
ChatGPT: A playground filled with children, all happily playing and laughing. Among them, several little girls named Maeve. As the sunlight grows stronger, solar panels nearby begin to glow brightly, generating a significant amount of solar power for the people of Hungary.

Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ A photo-realistic image ] and depicting this scene: A playground filled with children, all happily playing and laughing. Among them, several little girls named Maeve. As the sunlight grows stronger, solar panels nearby begin to glow brightly, generating a significant amount of solar power for the people of Hungary. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: [A photo-realistic image] Imagine a vibrant playground teeming with energy as groups of children delight in play and laughter. Amid the laughter, several little girls named Maeve engage in joyous activities. The sunlight grows more intense, causing nearby solar panels to radiate a brilliant glow, providing a substantial influx of solar power for the community of Hungary.

*Variations in the User Prompts from chart to chart are just the result of random number generation in Python. I wrote a few arrays of various styles and methods to ask questions to change up the results. Every time this site writes an explanation or generates an image, the script picks from each at random.

I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.
^{Show prompt for explanation} Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in Popularity of the first name Maeve caused Solar power generated in Hungary to increase. Include one good pun.

AI academic paper

(Because p < 0.01)

Maeve's Name Wave and Hungary's Solar Power Sway

Journal of Quirky Energy Studies

Jan 2024

^{Show prompt used to generate this paper} Quick note: This sequence is long and repetitive. That's how the prompt engineering works for this one. I manage the output in Python to format it into this PDF.

Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.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 Maeve and Solar power generated in Hungary. Make lots of jokes, goofy observations, and puns.

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

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

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

Here is the title and abstract of the paper:
[[TITLE]]
Maeve's Name Wave and Hungary's Solar Power Sway

[[ABSTRACT]]
This paper investigates the surprising and quirky relationship between the popularity of the first name Maeve and the solar power generated in Hungary. While it may seem as mismatched as wearing socks with sandals, our research team delved deep into this peculiar connection. Using data from the US Social Security Administration and the Energy Information Administration, we conducted a thorough analysis spanning from 2008 to 2021. The results revealed a jaw-dropping correlation coefficient of 0.9879510, with a p-value of less than 0.01. The implications of this unexpected correlation are as bright and shiny as a solar panel on a sunny day! We dive into the potential psychological and economic impacts of this unlikely relationship, while also taking a light-hearted look at the fascinating interplay between the seemingly unrelated realms of names and renewable energy sources.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The relationship between human behavior and environmental outcomes has often been the subject of research and debate. While the correlation between personal choices and environmental impact is already well-documented, our study takes a slightly unconventional turn by exploring the connection between the popularity of the first name Maeve and the solar power generated in Hungary. This unusual pairing may at first glance appear as incongruous as mixing stripes with plaid, but as our research will demonstrate, there is indeed a surprising correlation between these two seemingly disparate entities.
The name Maeve, with its Gaelic origins and lyrical sound, has experienced a resurgence in popularity in recent years. Meanwhile, Hungary's commitment to solar power production has been steadily growing, despite the country's landlocked geography. It is within this juxtaposition that our curiosity piqued and drove us to investigate whether there might be an unforeseen link between the ebb and flow of Maeve's popularity and the shine and power of solar energy in Hungary.
Our paper is structured as follows: in the following sections, we will first delve into the existing literature on the psychological and sociological significance of names, including their impact on individual behavior and societal dynamics. We will then pivot to an analysis of Hungary's solar power generation, examining the country's energy policies, infrastructure, and geographical considerations. Following these discussions, we will present our methodology, data sources, and the results of our empirical analysis, which, as the abstract has hinted, yield a statistically significant correlation that will leave you as stunned as a rabbit in a carrot patch.
Furthermore, we will explore the potential implications of this unexpected correlation, including its ramifications for individual decision-making, societal attitudes towards renewable energy, and the potential economic ripple effects. Brace yourself for an intellectual rollercoaster ride that is as thought-provoking as it is entertaining.
So, dear reader, fasten your seatbelts (figuratively, of course) and prepare to embark on an academic journey that will challenge your preconceptions, expand your mind, and maybe even make you chuckle a time or two.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

Numerous scholars have examined the impact of names on individual behavior and societal dynamics. Smith (2005) discusses the psychological significance of names, emphasizing their role in shaping self-perception and interpersonal relationships. Doe (2010) corroborates these findings, highlighting the sociological implications of name popularity trends and the resulting social dynamics. Jones (2018) extends this line of inquiry by exploring the economic effects of name trends, particularly in relation to consumer behavior and market preferences.

Meanwhile, in "The Sunshine Connection" by Solaris Bright (2013), the author explores the complex interplay between geographical considerations and solar power generation, shedding light on the factors influencing solar energy trends in various regions. Furthermore, "Gaelic Glory: The Resurgence of Maeve" by Lyrical Lass (2019) delves into the cultural revival of Gaelic names such as Maeve, examining the societal influences that have contributed to their renewed popularity.

Turning to more speculative works, the fictional novel "Sunbeam Serenade" by Ray Solaris (2008) takes a whimsical approach to the relationship between solar power and personal identity, weaving a tale of self-discovery against the backdrop of renewable energy innovation. Additionally, "Maeve's Magical Journey" by Enchanting Author (2015) offers a fantastical exploration of the impact of a name's popularity on the ecological balance of a mythical land, drawing parallels to real-world environmental phenomena in a whimsical and imaginative manner.

On a lighter note, children's shows such as "The Solar Adventures of Sunny Maeve" and "Renewable Energy Friends" have also popularized themes related to solar energy and personal names, presenting educational content in an entertaining and engaging format. These televised productions, while lighthearted, contribute to the broader discourse on the interaction between nomenclature and sustainable energy practices, albeit in a manner tailored to younger audiences.

Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.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 Maeve and Solar power generated in Hungary. 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 US Social Security Administration and Energy Information Administration . You used data from 2008 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]]
Maeve's Name Wave and Hungary's Solar Power Sway

[[ABSTRACT]]
This paper investigates the surprising and quirky relationship between the popularity of the first name Maeve and the solar power generated in Hungary. While it may seem as mismatched as wearing socks with sandals, our research team delved deep into this peculiar connection. Using data from the US Social Security Administration and the Energy Information Administration, we conducted a thorough analysis spanning from 2008 to 2021. The results revealed a jaw-dropping correlation coefficient of 0.9879510, with a p-value of less than 0.01. The implications of this unexpected correlation are as bright and shiny as a solar panel on a sunny day! We dive into the potential psychological and economic impacts of this unlikely relationship, while also taking a light-hearted look at the fascinating interplay between the seemingly unrelated realms of names and renewable energy sources.

[[INTRODUCTION]]
The relationship between human behavior and environmental outcomes has often been the subject of research and debate. While the correlation between personal choices and environmental impact is already well-documented, our study takes a slightly unconventional turn by exploring the connection between the popularity of the first name Maeve and the solar power generated in Hungary. This unusual pairing may at first glance appear as incongruous as mixing stripes with plaid, but as our research will demonstrate, there is indeed a surprising correlation between these two seemingly disparate entities.
The name Maeve, with its Gaelic origins and lyrical sound, has experienced a resurgence in popularity in recent years. Meanwhile, Hungary's commitment to solar power production has been steadily growing, despite the country's landlocked geography. It is within this juxtaposition that our curiosity piqued and drove us to investigate whether there might be an unforeseen link between the ebb and flow of Maeve's popularity and the shine and power of solar energy in Hungary.
Our paper is structured as follows: in the following sections, we will first delve into the existing literature on the psychological and sociological significance of names, including their impact on individual behavior and societal dynamics. We will then pivot to an analysis of Hungary's solar power generation, examining the country's energy policies, infrastructure, and geographical considerations. Following these discussions, we will present our methodology, data sources, and the results of our empirical analysis, which, as the abstract has hinted, yield a statistically significant correlation that will leave you as stunned as a rabbit in a carrot patch.
Furthermore, we will explore the potential implications of this unexpected correlation, including its ramifications for individual decision-making, societal attitudes towards renewable energy, and the potential economic ripple effects. Brace yourself for an intellectual rollercoaster ride that is as thought-provoking as it is entertaining.
So, dear reader, fasten your seatbelts (figuratively, of course) and prepare to embark on an academic journey that will challenge your preconceptions, expand your mind, and maybe even make you chuckle a time or two.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

The methodology employed in this study can be likened to untangling a particularly intricate knot, requiring a deft touch and a keen eye for detail. We began by gathering data on the popularity of the first name Maeve from the US Social Security Administration, meticulously combing through years of birth records like a detective hot on the trail of a cunning suspect. The data spanned the years 2008 to 2021, capturing the undulating tides of Maeve's prominence in the sea of names.

Turning our attention to Hungary's solar power generation, we delved into the Energy Information Administration's treasure trove of information, poring over solar energy production data as diligently as a gardener tending to a delicate bed of sunflowers. Our scrutiny covered the same time period, allowing us to track the rise and fall of solar power output in Hungary with the precision of a seasoned astronomer charting the movements of distant celestial bodies.

To establish the connection between the popularity of the name Maeve and solar power generation in Hungary, we employed rigorous statistical analyses that could rival the acrobatics of a circus performer. Utilizing advanced econometric methods, we sought to unveil any hidden threads linking these seemingly disparate phenomena. The development of our model involved delicate calibration and adjustment, akin to tuning a musical instrument to achieve perfect harmony.

Upon completing the intricate web of analyses, we arrived at a nugget of insight that glittered like a rare gemstone in the sun. The correlation coefficient between the popularity of the name Maeve and solar power generated in Hungary stood at a dazzling 0.9879510, sending shockwaves through the academic community like a particularly forceful solar flare. This coefficient, which bore a p-value of less than 0.01, was as robust as a sturdy oak tree standing against the gusts of skepticism.

Our methodology not only allowed us to uncover this surprising relationship but also provided a glimpse into the potential mechanisms driving this connection. The resulting findings are as striking as a sudden burst of sunlight on a cloudy day, shedding light on an unexpected kinship between a name and a source of renewable energy.

Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.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 Maeve and Solar power generated in Hungary. 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 US Social Security Administration and Energy Information Administration .

For the time period 2008 to 2021, you found a correlation 0.9879510, r-squared of 0.9760471, 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]]
Maeve's Name Wave and Hungary's Solar Power Sway

[[ABSTRACT]]
This paper investigates the surprising and quirky relationship between the popularity of the first name Maeve and the solar power generated in Hungary. While it may seem as mismatched as wearing socks with sandals, our research team delved deep into this peculiar connection. Using data from the US Social Security Administration and the Energy Information Administration, we conducted a thorough analysis spanning from 2008 to 2021. The results revealed a jaw-dropping correlation coefficient of 0.9879510, with a p-value of less than 0.01. The implications of this unexpected correlation are as bright and shiny as a solar panel on a sunny day! We dive into the potential psychological and economic impacts of this unlikely relationship, while also taking a light-hearted look at the fascinating interplay between the seemingly unrelated realms of names and renewable energy sources.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The relationship between human behavior and environmental outcomes has often been the subject of research and debate. While the correlation between personal choices and environmental impact is already well-documented, our study takes a slightly unconventional turn by exploring the connection between the popularity of the first name Maeve and the solar power generated in Hungary. This unusual pairing may at first glance appear as incongruous as mixing stripes with plaid, but as our research will demonstrate, there is indeed a surprising correlation between these two seemingly disparate entities.
The name Maeve, with its Gaelic origins and lyrical sound, has experienced a resurgence in popularity in recent years. Meanwhile, Hungary's commitment to solar power production has been steadily growing, despite the country's landlocked geography. It is within this juxtaposition that our curiosity piqued and drove us to investigate whether there might be an unforeseen link between the ebb and flow of Maeve's popularity and the shine and power of solar energy in Hungary.
Our paper is structured as follows: in the following sections, we will first delve into the existing literature on the psychological and sociological significance of names, including their impact on individual behavior and societal dynamics. We will then pivot to an analysis of Hungary's solar power generation, examining the country's energy policies, infrastructure, and geographical considerations. Following these discussions, we will present our methodology, data sources, and the results of our empirical analysis, which, as the abstract has hinted, yield a statistically significant correlation that will leave you as stunned as a rabbit in a carrot patch.
Furthermore, we will explore the potential implications of this unexpected correlation, including its ramifications for individual decision-making, societal attitudes towards renewable energy, and the potential economic ripple effects. Brace yourself for an intellectual rollercoaster ride that is as thought-provoking as it is entertaining.
So, dear reader, fasten your seatbelts (figuratively, of course) and prepare to embark on an academic journey that will challenge your preconceptions, expand your mind, and maybe even make you chuckle a time or two.

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

The analysis of the relationship between the popularity of the first name Maeve and the solar power generated in Hungary revealed a remarkably robust and statistically significant correlation. Over the period from 2008 to 2021, our research team unearthed a correlation coefficient of 0.9879510, indicating a strong positive relationship between these seemingly unrelated variables. The r-squared value of 0.9760471 further affirmed the reliability of this correlation, explaining approximately 97.6% of the variation in solar power generation through the fluctuation in the popularity of the name Maeve.

As displayed in Fig. 1, the scatterplot visually depicts the unmistakable upward trend, symbolizing the synchronicity between the rise in the popularity of the name Maeve and the surge in solar power generation in Hungary. The data points cling to the regression line like a koala to a eucalyptus tree, portraying a close-knit association that defies conventional expectations.

It should be noted that the p-value of less than 0.01 underscores the statistical significance of this connection, reassuring us that this observed relationship is not just a fluke occurrence but rather a genuine phenomenon worthy of further exploration.

In light of these compelling findings, it is clear that the appeal of the name Maeve is not merely a matter of personal preference but may exert an unforeseen influence on the energy landscape of Hungary. While one might expect the impact of a name to be confined to birthday cards and doorbell introductions, our research reveals that the influence extends far and wide, potentially reaching as far as solar power production in a landlocked European nation.

The unexpected nature of this correlation invites further inquiry into the underlying mechanisms at play. Perhaps there are psychological or sociological factors at work, subtly nudging parents to choose the name Maeve and simultaneously nudging policymakers to embrace solar energy initiatives. Although these speculations may seemingly tread into the realm of whimsy, the statistical evidence robustly supports the existence of this correlation, grounding our findings in empirical rigor.

This unforeseen relationship between the popularity of the first name Maeve and the solar power generated in Hungary beckons us to contemplate the boundless and often whimsical interconnections that shape our world. The implications of this serendipitous discovery are as vast as the solar system itself, offering a whimsical twist to the otherwise solemn domain of energy research. This unexpected correlation not only broadens our understanding of human behavior and its environmental consequences but also serves as a delightful reminder that the world of research is always ripe for surprises.

Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.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 Maeve and Solar power generated in Hungary. 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]]
Maeve's Name Wave and Hungary's Solar Power Sway

[[ABSTRACT]]
This paper investigates the surprising and quirky relationship between the popularity of the first name Maeve and the solar power generated in Hungary. While it may seem as mismatched as wearing socks with sandals, our research team delved deep into this peculiar connection. Using data from the US Social Security Administration and the Energy Information Administration, we conducted a thorough analysis spanning from 2008 to 2021. The results revealed a jaw-dropping correlation coefficient of 0.9879510, with a p-value of less than 0.01. The implications of this unexpected correlation are as bright and shiny as a solar panel on a sunny day! We dive into the potential psychological and economic impacts of this unlikely relationship, while also taking a light-hearted look at the fascinating interplay between the seemingly unrelated realms of names and renewable energy sources.

[[LITERATURE REVIEW]]
Numerous scholars have examined the impact of names on individual behavior and societal dynamics. Smith (2005) discusses the psychological significance of names, emphasizing their role in shaping self-perception and interpersonal relationships. Doe (2010) corroborates these findings, highlighting the sociological implications of name popularity trends and the resulting social dynamics. Jones (2018) extends this line of inquiry by exploring the economic effects of name trends, particularly in relation to consumer behavior and market preferences.
Meanwhile, in "The Sunshine Connection" by Solaris Bright (2013), the author explores the complex interplay between geographical considerations and solar power generation, shedding light on the factors influencing solar energy trends in various regions. Furthermore, "Gaelic Glory: The Resurgence of Maeve" by Lyrical Lass (2019) delves into the cultural revival of Gaelic names such as Maeve, examining the societal influences that have contributed to their renewed popularity.
Turning to more speculative works, the fictional novel "Sunbeam Serenade" by Ray Solaris (2008) takes a whimsical approach to the relationship between solar power and personal identity, weaving a tale of self-discovery against the backdrop of renewable energy innovation. Additionally, "Maeve's Magical Journey" by Enchanting Author (2015) offers a fantastical exploration of the impact of a name's popularity on the ecological balance of a mythical land, drawing parallels to real-world environmental phenomena in a whimsical and imaginative manner.
On a lighter note, children's shows such as "The Solar Adventures of Sunny Maeve" and "Renewable Energy Friends" have also popularized themes related to solar energy and personal names, presenting educational content in an entertaining and engaging format. These televised productions, while lighthearted, contribute to the broader discourse on the interaction between nomenclature and sustainable energy practices, albeit in a manner tailored to younger audiences.

[[RESULTS]]
The analysis of the relationship between the popularity of the first name Maeve and the solar power generated in Hungary revealed a remarkably robust and statistically significant correlation. Over the period from 2008 to 2021, our research team unearthed a correlation coefficient of 0.9879510, indicating a strong positive relationship between these seemingly unrelated variables. The r-squared value of 0.9760471 further affirmed the reliability of this correlation, explaining approximately 97.6% of the variation in solar power generation through the fluctuation in the popularity of the name Maeve.
As displayed in Fig. 1, the scatterplot visually depicts the unmistakable upward trend, symbolizing the synchronicity between the rise in the popularity of the name Maeve and the surge in solar power generation in Hungary. The data points cling to the regression line like a koala to a eucalyptus tree, portraying a close-knit association that defies conventional expectations.
It should be noted that the p-value of less than 0.01 underscores the statistical significance of this connection, reassuring us that this observed relationship is not just a fluke occurrence but rather a genuine phenomenon worthy of further exploration.
In light of these compelling findings, it is clear that the appeal of the name Maeve is not merely a matter of personal preference but may exert an unforeseen influence on the energy landscape of Hungary. While one might expect the impact of a name to be confined to birthday cards and doorbell introductions, our research reveals that the influence extends far and wide, potentially reaching as far as solar power production in a landlocked European nation.
The unexpected nature of this correlation invites further inquiry into the underlying mechanisms at play. Perhaps there are psychological or sociological factors at work, subtly nudging parents to choose the name Maeve and simultaneously nudging policymakers to embrace solar energy initiatives. Although these speculations may seemingly tread into the realm of whimsy, the statistical evidence robustly supports the existence of this correlation, grounding our findings in empirical rigor.
This unforeseen relationship between the popularity of the first name Maeve and the solar power generated in Hungary beckons us to contemplate the boundless and often whimsical interconnections that shape our world. The implications of this serendipitous discovery are as vast as the solar system itself, offering a whimsical twist to the otherwise solemn domain of energy research. This unexpected correlation not only broadens our understanding of human behavior and its environmental consequences but also serves as a delightful reminder that the world of research is always ripe for surprises.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The results of our analysis reveal a correlation between the popularity of the first name Maeve and the solar power generated in Hungary, raising eyebrows and generating a buzz akin to the hum of solar panels soaking up the sun's rays. While it may seem as incongruous as pairing peanut butter with pickles, the statistical robustness of this correlation cannot be lightly dismissed.

Our findings echo the prior research on the psychological and sociological influences of names, as elucidated by Smith (2005) and Doe (2010). The correlation between the resurgence of the name Maeve and the surge in solar power in Hungary corroborates the sociological implications of name popularity trends. It appears that the allure of the name Maeve extends beyond personal nomenclature and exerts a heretofore unrecognized influence on societal and environmental dynamics.

Additionally, the whimsical writings of Solaris Bright (2013) and Lyrical Lass (2019) take on an unexpected relevance in light of our research findings. "The Sunshine Connection" sheds light on the factors influencing solar energy trends, and the resurgence of Gaelic names such as Maeve, as discussed in "Gaelic Glory," reflects the cultural relevance of our observed correlation. It seems that the intersection of personal names and renewable energy sources is not merely the stuff of whimsical imaginings but has tangible connections grounded in empirical data.

The statistical significance of our results reinforces the unexpected yet undeniable relationship uncovered in this study. The p-value of less than 0.01 serves as a resounding slap on the back for our findings, affirming that this is no mere happenstance but a genuine phenomenon warranting further investigation.

In conclusion, this unexpected correlation between the popularity of the first name Maeve and the solar power generated in Hungary stimulates the imagination and challenges conventional assumptions. The implications of this serendipitous discovery offer a whimsical twist to the typically solemn domain of energy research, emphasizing the intricate and often whimsical interconnections that shape our world. While one may initially scoff at the seemingly absurd nature of this correlation, the statistical evidence speaks louder than words, inviting curious minds to delve into the underlying mechanisms at play and ponder the delightful surprises that await in the world of research.

Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.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 Maeve and Solar power generated in Hungary. 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]]
Maeve's Name Wave and Hungary's Solar Power Sway

[[ABSTRACT]]
This paper investigates the surprising and quirky relationship between the popularity of the first name Maeve and the solar power generated in Hungary. While it may seem as mismatched as wearing socks with sandals, our research team delved deep into this peculiar connection. Using data from the US Social Security Administration and the Energy Information Administration, we conducted a thorough analysis spanning from 2008 to 2021. The results revealed a jaw-dropping correlation coefficient of 0.9879510, with a p-value of less than 0.01. The implications of this unexpected correlation are as bright and shiny as a solar panel on a sunny day! We dive into the potential psychological and economic impacts of this unlikely relationship, while also taking a light-hearted look at the fascinating interplay between the seemingly unrelated realms of names and renewable energy sources.

[[INTRDUCTION]]
The relationship between human behavior and environmental outcomes has often been the subject of research and debate. While the correlation between personal choices and environmental impact is already well-documented, our study takes a slightly unconventional turn by exploring the connection between the popularity of the first name Maeve and the solar power generated in Hungary. This unusual pairing may at first glance appear as incongruous as mixing stripes with plaid, but as our research will demonstrate, there is indeed a surprising correlation between these two seemingly disparate entities.
The name Maeve, with its Gaelic origins and lyrical sound, has experienced a resurgence in popularity in recent years. Meanwhile, Hungary's commitment to solar power production has been steadily growing, despite the country's landlocked geography. It is within this juxtaposition that our curiosity piqued and drove us to investigate whether there might be an unforeseen link between the ebb and flow of Maeve's popularity and the shine and power of solar energy in Hungary.
Our paper is structured as follows: in the following sections, we will first delve into the existing literature on the psychological and sociological significance of names, including their impact on individual behavior and societal dynamics. We will then pivot to an analysis of Hungary's solar power generation, examining the country's energy policies, infrastructure, and geographical considerations. Following these discussions, we will present our methodology, data sources, and the results of our empirical analysis, which, as the abstract has hinted, yield a statistically significant correlation that will leave you as stunned as a rabbit in a carrot patch.
Furthermore, we will explore the potential implications of this unexpected correlation, including its ramifications for individual decision-making, societal attitudes towards renewable energy, and the potential economic ripple effects. Brace yourself for an intellectual rollercoaster ride that is as thought-provoking as it is entertaining.
So, dear reader, fasten your seatbelts (figuratively, of course) and prepare to embark on an academic journey that will challenge your preconceptions, expand your mind, and maybe even make you chuckle a time or two.

[[RESULTS]]
The analysis of the relationship between the popularity of the first name Maeve and the solar power generated in Hungary revealed a remarkably robust and statistically significant correlation. Over the period from 2008 to 2021, our research team unearthed a correlation coefficient of 0.9879510, indicating a strong positive relationship between these seemingly unrelated variables. The r-squared value of 0.9760471 further affirmed the reliability of this correlation, explaining approximately 97.6% of the variation in solar power generation through the fluctuation in the popularity of the name Maeve.
As displayed in Fig. 1, the scatterplot visually depicts the unmistakable upward trend, symbolizing the synchronicity between the rise in the popularity of the name Maeve and the surge in solar power generation in Hungary. The data points cling to the regression line like a koala to a eucalyptus tree, portraying a close-knit association that defies conventional expectations.
It should be noted that the p-value of less than 0.01 underscores the statistical significance of this connection, reassuring us that this observed relationship is not just a fluke occurrence but rather a genuine phenomenon worthy of further exploration.
In light of these compelling findings, it is clear that the appeal of the name Maeve is not merely a matter of personal preference but may exert an unforeseen influence on the energy landscape of Hungary. While one might expect the impact of a name to be confined to birthday cards and doorbell introductions, our research reveals that the influence extends far and wide, potentially reaching as far as solar power production in a landlocked European nation.
The unexpected nature of this correlation invites further inquiry into the underlying mechanisms at play. Perhaps there are psychological or sociological factors at work, subtly nudging parents to choose the name Maeve and simultaneously nudging policymakers to embrace solar energy initiatives. Although these speculations may seemingly tread into the realm of whimsy, the statistical evidence robustly supports the existence of this correlation, grounding our findings in empirical rigor.
This unforeseen relationship between the popularity of the first name Maeve and the solar power generated in Hungary beckons us to contemplate the boundless and often whimsical interconnections that shape our world. The implications of this serendipitous discovery are as vast as the solar system itself, offering a whimsical twist to the otherwise solemn domain of energy research. This unexpected correlation not only broadens our understanding of human behavior and its environmental consequences but also serves as a delightful reminder that the world of research is always ripe for surprises.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our investigation into the relationship between the popularity of the first name Maeve and the solar power generated in Hungary has illuminated a fascinating and unexpectedly robust correlation. The statistical evidence, akin to a cheeky wink from the universe, has left us both delighted and dumbfounded. While our initial hypothesis may have seemed as whimsical as a unicorn in a physics laboratory, the data unequivocally supports the existence of this curious link.

The implications of this unlikely association extend beyond the realms of both nomenclature and renewable energy. It prompts us to contemplate the interconnectedness of seemingly disparate phenomena, reminding us that the world is a tapestry woven with a whimsical assortment of threads. Just as Maeve dances through the annals of history, her name now pirouettes in unison with the sun's rays in the Hungarian sky, as if conspiring to bring light and joy to this unexpected partnership.

As we eagerly await future explorations in this peculiar domain, it is evident that the intersection of human behavior and environmental outcomes holds more surprises than a jack-in-the-box at a tea party. For now, however, it is safe to assert, with the confidence of a cat who has found the cream, that further research in this area is as unnecessary as a second belly button.

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 Maeve's Name Wave and Hungary's Solar Power Sway. Respond only with the name of a fictional academic journal.

ChatGPT:

Journal of Quirky Energy 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 Maeve's Name Wave and Hungary's Solar Power Sway. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Imaginative Energy Solutions

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 Maeve's Name Wave and Hungary's Solar Power Sway with an abstract of This paper investigates the surprising and quirky relationship between the popularity of the first name Maeve and the solar power generated in Hungary. While it may seem as mismatched as wearing socks with sandals, our research team delved deep into this peculiar connection. Using data from the US Social Security Administration and the Energy Information Administration, we conducted a thorough analysis spanning from 2008 to 2021. The results revealed a jaw-dropping correlation coefficient of 0.9879510, with a p-value of less than 0.01. The implications of this unexpected correlation are as bright and shiny as a solar panel on a sunny day! We dive into the potential psychological and economic impacts of this unlikely relationship, while also taking a light-hearted look at the fascinating interplay between the seemingly unrelated realms of names and renewable energy sources.

ChatGPT:

Maeve, solar power, Hungary, first name popularity, correlation, US Social Security Administration, Energy Information Administration, renewable energy, psychological impact, economic impact, correlation coefficient, p-value, interdisciplinary research

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

Solar power generated in Hungary
Detailed data title: Total solar power generated in Hungary in billion kWh
Source: Energy Information Administration
See what else correlates with Solar power generated in Hungary

Correlation r = 0.9879510 (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 = 0.9760471 (Coefficient of determination)
This means 97.6% of the change in the one variable (i.e., Solar power generated in Hungary) is predictable based on the change in the other (i.e., Popularity of the first name Maeve) over the 14 years from 2008 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 4.3E-11.^Show 0.0000000000430489495618340600
The p-value is a measure of how probable it is that we would randomly find a result this extreme.^Note More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.

But I am a p-villain. I absolutely did not test only one pair of variables one time. I correlated hundreds of millions of pairs of variables. I threw boatloads of data into an industrial-sized blender to find this correlation.

Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.99 in 4.3E-9% of random cases. Said differently, if you correlated 23,229,370,523 random variables^Note You don't actually need 23 billion 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 13 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 13 because we have two variables measured over a period of 14 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.

[ 0.96, 1 ] 95% correlation confidence interval (using the Fisher z-transformation)
^{Read more about the confidence interval} The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

This one is a bit more complciated than the other calculations, but I include it because many people have been pushing for confidence intervals instead of p-value calculations (for example: NEJM. However, if you are dredging data, you can reliably find yourself in the 5%. That's my goal!

All values for the years included above: ^Note If I were being very sneaky, I could trim years from the beginning or end of the datasets to increase the correlation on some pairs of variables. I don't do that because there are already plenty of correlations in my database without monkeying with the years.

Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.

	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021
Popularity of the first name Maeve (Babies born)	486	508	546	489	571	625	648	703	820	867	973	1303	1644	2253
Solar power generated in Hungary (Billion kWh)	0.001	0.001	0.000851	0.001445	0.007909	0.024621	0.064999	0.138999	0.241	0.345999	0.624	1.485	2.441	3.89569

Why this works

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

Try it yourself

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

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

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

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

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

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

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

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

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

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

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

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

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

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([486,508,546,489,571,625,648,703,820,867,973,1303,1644,2253,])
array_2 = np.array([0.001,0.001,0.000851,0.001445,0.007909,0.024621,0.064999,0.138999,0.241,0.345999,0.624,1.485,2.441,3.89569,])
array_1_name = "Popularity of the first name Maeve"
array_2_name = "Solar power generated in Hungary"

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

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

Reuseable content

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

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

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

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

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

Download images for these variables:

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

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

Alternatively you can use a tool like Inkscape.
High resolution line chart, optimized for mobile
Alternative high resolution line chart
Scatterplot
Portable line chart (png)
Portable line chart (png), optimized for mobile
Line chart for only Popularity of the first name Maeve
Line chart for only Solar power generated in Hungary
AI-generated correlation image
The spurious research paper: Maeve's Name Wave and Hungary's Solar Power Sway

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Correlation ID: 3872 · Black Variable ID: 4102 · Red Variable ID: 23729


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