about · email me · subscribe
Spurious correlation #4,521 · 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 Violet and the second variable is Votes for Libertarian Senators in Wisconsin.  The chart goes from 1980 to 2016, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

It’s simple. As the popularity of the first name Violet increased, so did the sales of lavender-scented products. The aroma of lavender has a calming effect, leading to a decrease in political polarization. This, in turn, inclined more individuals in Wisconsin towards libertarian ideology, ultimately boosting the libertarian votes for Senators. Who would have thought that a fragrant flower could have such a blooming impact on the political landscape?

Model: dalle-3
Prompt: An image that looks like it is a scene from 'Star Wars', depicting an idyllic Wisconsin town brimming with the calming aroma of lavender. In the foreground, the town square is bustling with activity, as locals meander through stalls selling lavender-scented products. A hint of purple haze fills the air, creating a serene and mystical atmosphere. At the outskirts of the town, rolling hills adorned with vibrant violet flowers stretch into the distance. High above the town, the sky is dotted with libertarian-themed spacecraft, symbolizing the political shift towards libertarian ideology. The scene is harmonious and visually resonates with the tranquil influence of lavender. 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 Violet and Libertarian votes for Senators in Wisconsin. 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: Psychedelic Cyber folk Cybernetic art An image that looks like it is a scene from 'Star Wars' Concept art
ChatGPT: An image that looks like it is a scene from 'Star Wars'

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 Violet and Libertarian votes for Senators in Wisconsin, in the following situation: It’s simple. As the popularity of the first name Violet increased, so did the sales of lavender-scented products. The aroma of lavender has a calming effect, leading to a decrease in political polarization. This, in turn, inclined more individuals in Wisconsin towards libertarian ideology, ultimately boosting the libertarian votes for Senators. Who would have thought that a fragrant flower could have such a blooming impact on the political landscape?. Keep the description simple.
ChatGPT: In a cozy Wisconsin town, the name Violet seemed to be everywhere. Newborns were often christened with the sweet-sounding name. As the popularity of the name Violet rose, so did the sales of lavender-scented products in local shops. The air was filled with the calming aroma of lavender, and with its soothing effect, people seemed more at ease. As a result, political polarization decreased, and a growing number of individuals in Wisconsin were drawn towards libertarian ideology. This shift was reflected in increased libertarian votes for Senators, all sparked by the blooming impact of the fragrant flower.

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: [ An image that looks like it is a scene from 'Star Wars' ] and depicting this scene: In a cozy Wisconsin town, the name Violet seemed to be everywhere. Newborns were often christened with the sweet-sounding name. As the popularity of the name Violet rose, so did the sales of lavender-scented products in local shops. The air was filled with the calming aroma of lavender, and with its soothing effect, people seemed more at ease. As a result, political polarization decreased, and a growing number of individuals in Wisconsin were drawn towards libertarian ideology. This shift was reflected in increased libertarian votes for Senators, all sparked by the blooming impact of the fragrant flower. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: An image that looks like it is a scene from 'Star Wars', depicting an idyllic Wisconsin town brimming with the calming aroma of lavender. In the foreground, the town square is bustling with activity, as locals meander through stalls selling lavender-scented products. A hint of purple haze fills the air, creating a serene and mystical atmosphere. At the outskirts of the town, rolling hills adorned with vibrant violet flowers stretch into the distance. High above the town, the sky is dotted with libertarian-themed spacecraft, symbolizing the political shift towards libertarian ideology. The scene is harmonious and visually resonates with the tranquil influence of lavender.

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

I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.

Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in Popularity of the first name Violet caused Libertarian votes for Senators in Wisconsin to increase. Make it feel plausible.

AI academic paper

(Because p < 0.01)
Violet's Veto: Exploring the Entangled Enigma of Name Popularity and Political Preferences in Wisconsin's Senators

The Journal of Political Nameology

Jan 2024

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




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

Please draft the title and abstract of an academic research paper presenting the findings of the connection between Popularity of the first name Violet and Libertarian votes for Senators in Wisconsin. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Make the title an alliteration.

Your research team used data from US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse to assess this nagging question. You found a correlation coefficient of 0.9859037 and p < 0.01 for 1980 to 2016.

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]]
Violet's Veto: Exploring the Entangled Enigma of Name Popularity and Political Preferences in Wisconsin's Senators

[[ABSTRACT]]
In this groundbreaking study, we delved into the perplexing puzzle of whether the popularity of the first name Violet has any sway on the Libertarian votes for Senators in the cheese-laden state of Wisconsin. Armed with data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we scoured through decades of information to uncover the coveted correlation coefficient of 0.9859037 and a p-value less than 0.01 for the years spanning from 1980 to 2016. Our findings were nothing short of fascinating and it seems that Violet's influence may not just be limited to her charming scent!

Our research team uncovered that the surge in the popularity of the name Violet strangely coincides with a noteworthy rise in the Libertarian votes for Senators in Wisconsin. This unexpected connection left us pondering whether there might be a clandestine network of name-based political influence at play. It’s as if Violet’s brief charm and elegance have managed to captivate the political landscape, much like a dad joke that catches you off guard and leaves you chuckling at its subtle wit.

The implications of our study extend far beyond the boundaries of the Badger State, sparking discussions on the impact of seemingly unrelated factors on political preferences. As we move forward, this research challenges academics and voters alike to consider the unforeseen links between seemingly unrelated variables and emphasizes the importance of a multidisciplinary approach to understanding the whims of democracy. Who knew a name like Violet could cast such a colorful shadow in the political realm?


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

Please make up the introduction section of an academic research paper presenting the findings of the connection between Popularity of the first name Violet and Libertarian votes for Senators in Wisconsin. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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]]
Violet's Veto: Exploring the Entangled Enigma of Name Popularity and Political Preferences in Wisconsin's Senators

[[ABSTRACT]]
In this groundbreaking study, we delved into the perplexing puzzle of whether the popularity of the first name Violet has any sway on the Libertarian votes for Senators in the cheese-laden state of Wisconsin. Armed with data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we scoured through decades of information to uncover the coveted correlation coefficient of 0.9859037 and a p-value less than 0.01 for the years spanning from 1980 to 2016. Our findings were nothing short of fascinating and it seems that Violet's influence may not just be limited to her charming scent!

Our research team uncovered that the surge in the popularity of the name Violet strangely coincides with a noteworthy rise in the Libertarian votes for Senators in Wisconsin. This unexpected connection left us pondering whether there might be a clandestine network of name-based political influence at play. It’s as if Violet’s brief charm and elegance have managed to captivate the political landscape, much like a dad joke that catches you off guard and leaves you chuckling at its subtle wit.

The implications of our study extend far beyond the boundaries of the Badger State, sparking discussions on the impact of seemingly unrelated factors on political preferences. As we move forward, this research challenges academics and voters alike to consider the unforeseen links between seemingly unrelated variables and emphasizes the importance of a multidisciplinary approach to understanding the whims of democracy. Who knew a name like Violet could cast such a colorful shadow in the political realm?

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

The influence of seemingly inconsequential factors on political behavior has long perplexed researchers and pundits alike. In this regard, the correlation between the popularity of the first name Violet and the Libertarian votes for Senators in the state of Wisconsin presents an intriguing enigma. Our investigation sought to shed light on this peculiar association, underscoring the potential significance of seemingly trivial elements in shaping political preferences. As the saying goes, "there's no use crying over spilled milk unless it's spilled in Wisconsin."

Drawing from data obtained from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we set out on a quest to unravel the alleged correspondence between the rise of Violet and the surge in Libertarian votes. Our findings not only unveiled a compelling statistical relationship but also brought to the forefront the unexpected ways in which personal identifiers may influence political allegiances. It's as though the very name Violet casts an alluring spell on the electoral landscape, much like a politician's promises that leave voters both hopeful and skeptical.

Amidst the larger-than-life world of politics, our study serves as a testament to the subtle and often overlooked influences that permeate the electoral arena. The confluence of a seemingly whimsical name's popularity and political choices challenges traditional notions of voter decision-making, reminding us that there are boundless subtleties at play in the democratic process. Who would have thought that the name Violet could emerge as a plausible harbinger of political leanings? It's like discovering a wisecracking, politically savvy parent in a "dad joke" – unsuspecting yet undeniably impactful.

In the following sections, we delve deeper into the intricacies of our analysis, presenting the methodological approach, the empirical findings, and the broader implications of our research. Join us as we untangle the captivating conundrum of Violet's veto – a testament to the unexpected interplay between the mundane and the momentous in the realm of political preferences. Just remember, even in the world of academia, a good pun can go a long way in making complex subjects palatable.


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

Please make up a literature review section of an academic research paper presenting the findings of the connection between Popularity of the first name Violet and Libertarian votes for Senators in Wisconsin. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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

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

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

Here is the title and abstract of the paper:
[[TITLE]]
Violet's Veto: Exploring the Entangled Enigma of Name Popularity and Political Preferences in Wisconsin's Senators

[[ABSTRACT]]
In this groundbreaking study, we delved into the perplexing puzzle of whether the popularity of the first name Violet has any sway on the Libertarian votes for Senators in the cheese-laden state of Wisconsin. Armed with data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we scoured through decades of information to uncover the coveted correlation coefficient of 0.9859037 and a p-value less than 0.01 for the years spanning from 1980 to 2016. Our findings were nothing short of fascinating and it seems that Violet's influence may not just be limited to her charming scent!

Our research team uncovered that the surge in the popularity of the name Violet strangely coincides with a noteworthy rise in the Libertarian votes for Senators in Wisconsin. This unexpected connection left us pondering whether there might be a clandestine network of name-based political influence at play. It’s as if Violet’s brief charm and elegance have managed to captivate the political landscape, much like a dad joke that catches you off guard and leaves you chuckling at its subtle wit.

The implications of our study extend far beyond the boundaries of the Badger State, sparking discussions on the impact of seemingly unrelated factors on political preferences. As we move forward, this research challenges academics and voters alike to consider the unforeseen links between seemingly unrelated variables and emphasizes the importance of a multidisciplinary approach to understanding the whims of democracy. Who knew a name like Violet could cast such a colorful shadow in the political realm?

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The influence of seemingly inconsequential factors on political behavior has long perplexed researchers and pundits alike. In this regard, the correlation between the popularity of the first name Violet and the Libertarian votes for Senators in the state of Wisconsin presents an intriguing enigma. Our investigation sought to shed light on this peculiar association, underscoring the potential significance of seemingly trivial elements in shaping political preferences. As the saying goes, "there's no use crying over spilled milk unless it's spilled in Wisconsin."
Drawing from data obtained from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we set out on a quest to unravel the alleged correspondence between the rise of Violet and the surge in Libertarian votes. Our findings not only unveiled a compelling statistical relationship but also brought to the forefront the unexpected ways in which personal identifiers may influence political allegiances. It's as though the very name Violet casts an alluring spell on the electoral landscape, much like a politician's promises that leave voters both hopeful and skeptical.
Amidst the larger-than-life world of politics, our study serves as a testament to the subtle and often overlooked influences that permeate the electoral arena. The confluence of a seemingly whimsical name's popularity and political choices challenges traditional notions of voter decision-making, reminding us that there are boundless subtleties at play in the democratic process. Who would have thought that the name Violet could emerge as a plausible harbinger of political leanings? It's like discovering a wisecracking, politically savvy parent in a "dad joke" – unsuspecting yet undeniably impactful.
In the following sections, we delve deeper into the intricacies of our analysis, presenting the methodological approach, the empirical findings, and the broader implications of our research. Join us as we untangle the captivating conundrum of Violet's veto – a testament to the unexpected interplay between the mundane and the momentous in the realm of political preferences. Just remember, even in the world of academia, a good pun can go a long way in making complex subjects palatable.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The confluence of seemingly unrelated factors on political behavior has sparked curiosity and inquiry among academics and enthusiasts alike. In a study by Smith and Jones (2010), the authors sought to explore the nuances of political preferences and the potential influences that extend beyond conventional determinants. While their focus was on socioeconomic factors and policy preferences, their framework paves the way for examining unconventional variables, such as the popularity of first names, with regard to political outcomes. It's like finding a rare gem in a pile of rocks – unexpected but undeniably intriguing.

Doe et al. (2015) further delved into the realm of voter behavior and decision-making, emphasizing the complex interplay of individual identity and political choices. Their work sheds light on the often subtle and unseen forces that guide electoral allegiances and the potential impact of overlooked personal identifiers. It's as if they stumbled upon a secret stash of political intrigue amid the mundane trappings of everyday life.

Turning to non-fiction literature that could provide insight, "Freakonomics" by Steven D. Levitt and Stephen J. Dubner, offers a compelling exploration of unconventional variables that shape human behavior and decision-making. While their focus may not be directly related to first names and political preferences, their approach encourages readers to consider the unexpected and challenge traditional assumptions. It's like discovering a hidden treasure trove of knowledge in the unlikeliest of places.

In the fictional realm, "The Name of the Wind" by Patrick Rothfuss explores the power of names and their significance in shaping destinies. While the context differs from our study, the underlying theme of the impact of names and identities resonates strongly. It's like stumbling upon a whimsical parallel universe where names hold the key to unforeseen adventures and revelations.

On a lighter note, the movie "Election" provides a satirical exploration of political dynamics, offering a humorous take on the complexities of electoral processes. While the film may not directly address the correlation between name popularity and political preferences, its portrayal of the quirks of democracy serves as a reminder of the unexpected and whimsical nature of political landscapes. It's like stumbling upon a comedic interlude in the midst of serious academic pursuits, offering a moment of levity amidst scholarly endeavors.


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

Please make up the methodology section of an academic research paper presenting the findings of the connection between Popularity of the first name Violet and Libertarian votes for Senators in Wisconsin. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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 MIT Election Data and Science Lab, Harvard Dataverse . You used data from 1980 to 2016

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]]
Violet's Veto: Exploring the Entangled Enigma of Name Popularity and Political Preferences in Wisconsin's Senators

[[ABSTRACT]]
In this groundbreaking study, we delved into the perplexing puzzle of whether the popularity of the first name Violet has any sway on the Libertarian votes for Senators in the cheese-laden state of Wisconsin. Armed with data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we scoured through decades of information to uncover the coveted correlation coefficient of 0.9859037 and a p-value less than 0.01 for the years spanning from 1980 to 2016. Our findings were nothing short of fascinating and it seems that Violet's influence may not just be limited to her charming scent!

Our research team uncovered that the surge in the popularity of the name Violet strangely coincides with a noteworthy rise in the Libertarian votes for Senators in Wisconsin. This unexpected connection left us pondering whether there might be a clandestine network of name-based political influence at play. It’s as if Violet’s brief charm and elegance have managed to captivate the political landscape, much like a dad joke that catches you off guard and leaves you chuckling at its subtle wit.

The implications of our study extend far beyond the boundaries of the Badger State, sparking discussions on the impact of seemingly unrelated factors on political preferences. As we move forward, this research challenges academics and voters alike to consider the unforeseen links between seemingly unrelated variables and emphasizes the importance of a multidisciplinary approach to understanding the whims of democracy. Who knew a name like Violet could cast such a colorful shadow in the political realm?

[[INTRODUCTION]]
The influence of seemingly inconsequential factors on political behavior has long perplexed researchers and pundits alike. In this regard, the correlation between the popularity of the first name Violet and the Libertarian votes for Senators in the state of Wisconsin presents an intriguing enigma. Our investigation sought to shed light on this peculiar association, underscoring the potential significance of seemingly trivial elements in shaping political preferences. As the saying goes, "there's no use crying over spilled milk unless it's spilled in Wisconsin."
Drawing from data obtained from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we set out on a quest to unravel the alleged correspondence between the rise of Violet and the surge in Libertarian votes. Our findings not only unveiled a compelling statistical relationship but also brought to the forefront the unexpected ways in which personal identifiers may influence political allegiances. It's as though the very name Violet casts an alluring spell on the electoral landscape, much like a politician's promises that leave voters both hopeful and skeptical.
Amidst the larger-than-life world of politics, our study serves as a testament to the subtle and often overlooked influences that permeate the electoral arena. The confluence of a seemingly whimsical name's popularity and political choices challenges traditional notions of voter decision-making, reminding us that there are boundless subtleties at play in the democratic process. Who would have thought that the name Violet could emerge as a plausible harbinger of political leanings? It's like discovering a wisecracking, politically savvy parent in a "dad joke" – unsuspecting yet undeniably impactful.
In the following sections, we delve deeper into the intricacies of our analysis, presenting the methodological approach, the empirical findings, and the broader implications of our research. Join us as we untangle the captivating conundrum of Violet's veto – a testament to the unexpected interplay between the mundane and the momentous in the realm of political preferences. Just remember, even in the world of academia, a good pun can go a long way in making complex subjects palatable.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To sift through the tangled web of data and unveil the mysterious relationship between the popularity of the name Violet and Libertarian votes for Wisconsin Senators, our research followed a rigorous and, dare I say, titillating process. We harnessed the power of data extraction and statistical analysis, akin to untangling a particularly knotty dad joke, to dig deep into the empirical underpinnings of this peculiar phenomenon.

Our data were primarily sourced from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, offering a comprehensive collection of records spanning the years 1980 to 2016. Once we had gathered this treasure trove of information, we undertook a thorough cleansing process, not unlike scrubbing a stubborn stain from a Wisconsin cheese curd. This involved meticulously checking for inaccuracies, inconsistencies, and outliers in the datasets, ensuring the pristine integrity of our analytical foundation. After all, a study of such magnitude necessitates an approach as meticulous as a Wisconsinite crafting the perfect grilled cheese sandwich – no room for error, and plenty of appreciation for a well-melted, thoughtfully curated result.

Having polished our data to a radiant sheen, we embraced the statistical analyses required to unravel the enigma at hand. Employing a series of sophisticated regression models, we explored the relationship between the popularity of the name Violet and the Libertarian votes for Senators in Wisconsin. This process bore a striking resemblance to unraveling a complex punchline – requiring patience, an acute eye for detail, and the occasional "Aha!" moment when the pieces fell neatly into place.

In addition, we conducted a series of robustness checks to ensure the reliability and validity of our findings. Sensitivity analyses, akin to testing the resilience of a sturdy cheese wheel, allowed us to assess the stability of our results under varying conditions and assumptions. This meticulous approach fortified the credibility of our conclusions, providing a sturdy foundation upon which to build our argument and giving us ample opportunities to insert cheesy dad jokes into our discussions on cheese-enhanced findings.

Furthermore, taking a page from the playbook of the most astute detectives, we explored potential confounders and mediating variables that might interlace with the popularity of the name Violet and Libertarian votes. This process involved a delicate dance with the data, akin to navigating the convoluted twists of a well-crafted mystery novel – every lead followed, every clue pieced together in pursuit of the ultimate revelation. The thorough consideration of these intricacies combined with the meticulous execution of our analyses unraveled a compelling narrative that transcended the typical humdrum of academic inquiry and dared to venture into the unexpected whims of electoral influence.

In summary, our methodological approach was as intricate as a labyrinthine wordplay and as robust as a set of heavyweight cheese bricks, allowing us to dissect and comprehend the entangled enigma of Violet's veto with precision and finesse.


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

Please make up the results section of an academic research paper presenting the findings of the connection between Popularity of the first name Violet and Libertarian votes for Senators in Wisconsin. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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 MIT Election Data and Science Lab, Harvard Dataverse .

For the time period 1980 to 2016, you found a correlation 0.9859037, r-squared of 0.9720062, 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]]
Violet's Veto: Exploring the Entangled Enigma of Name Popularity and Political Preferences in Wisconsin's Senators

[[ABSTRACT]]
In this groundbreaking study, we delved into the perplexing puzzle of whether the popularity of the first name Violet has any sway on the Libertarian votes for Senators in the cheese-laden state of Wisconsin. Armed with data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we scoured through decades of information to uncover the coveted correlation coefficient of 0.9859037 and a p-value less than 0.01 for the years spanning from 1980 to 2016. Our findings were nothing short of fascinating and it seems that Violet's influence may not just be limited to her charming scent!

Our research team uncovered that the surge in the popularity of the name Violet strangely coincides with a noteworthy rise in the Libertarian votes for Senators in Wisconsin. This unexpected connection left us pondering whether there might be a clandestine network of name-based political influence at play. It’s as if Violet’s brief charm and elegance have managed to captivate the political landscape, much like a dad joke that catches you off guard and leaves you chuckling at its subtle wit.

The implications of our study extend far beyond the boundaries of the Badger State, sparking discussions on the impact of seemingly unrelated factors on political preferences. As we move forward, this research challenges academics and voters alike to consider the unforeseen links between seemingly unrelated variables and emphasizes the importance of a multidisciplinary approach to understanding the whims of democracy. Who knew a name like Violet could cast such a colorful shadow in the political realm?

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The influence of seemingly inconsequential factors on political behavior has long perplexed researchers and pundits alike. In this regard, the correlation between the popularity of the first name Violet and the Libertarian votes for Senators in the state of Wisconsin presents an intriguing enigma. Our investigation sought to shed light on this peculiar association, underscoring the potential significance of seemingly trivial elements in shaping political preferences. As the saying goes, "there's no use crying over spilled milk unless it's spilled in Wisconsin."
Drawing from data obtained from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we set out on a quest to unravel the alleged correspondence between the rise of Violet and the surge in Libertarian votes. Our findings not only unveiled a compelling statistical relationship but also brought to the forefront the unexpected ways in which personal identifiers may influence political allegiances. It's as though the very name Violet casts an alluring spell on the electoral landscape, much like a politician's promises that leave voters both hopeful and skeptical.
Amidst the larger-than-life world of politics, our study serves as a testament to the subtle and often overlooked influences that permeate the electoral arena. The confluence of a seemingly whimsical name's popularity and political choices challenges traditional notions of voter decision-making, reminding us that there are boundless subtleties at play in the democratic process. Who would have thought that the name Violet could emerge as a plausible harbinger of political leanings? It's like discovering a wisecracking, politically savvy parent in a "dad joke" – unsuspecting yet undeniably impactful.
In the following sections, we delve deeper into the intricacies of our analysis, presenting the methodological approach, the empirical findings, and the broader implications of our research. Join us as we untangle the captivating conundrum of Violet's veto – a testament to the unexpected interplay between the mundane and the momentous in the realm of political preferences. Just remember, even in the world of academia, a good pun can go a long way in making complex subjects palatable.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The analysis of the data revealed a striking correlation between the popularity of the name Violet and the Libertarian votes for Senators in Wisconsin. Over the time period from 1980 to 2016, we found a correlation coefficient of 0.9859037 and an r-squared value of 0.9720062, both of which indicated a remarkably strong relationship between these variables. It's almost as surprising as finding a "cheesy" joke in a research paper – unexpected, yet amusingly fitting.

The p-value of less than 0.01 further solidifies the significance of this association, indicating that the likelihood of the observed correlation occurring by chance is exceedingly low. It's as if the name Violet has woven itself into the fabric of political influence, much like the way a good dad joke effortlessly slips into a conversation.

Furthermore, the correlation is visually depicted in Figure 1, a scatterplot illustrating the robust connection between the frequency of the name Violet and the Libertarian votes for Senators in Wisconsin. This compelling visual representation underscores the compelling nature of our findings and provides an unmistakable glimpse into the unexpected relationship between a name and political preferences. The plot serves as a gentle reminder that statistical analysis can both inform and entertain, much like a cleverly crafted joke that leaves a lasting impression.

In summary, our research offers compelling evidence of a substantial correlation between the popularity of the name Violet and the Libertarian votes for Senators in Wisconsin. These unexpected findings bring to light the potential influence of a seemingly ordinary factor on political behavior, prompting a reevaluation of the subtle forces at play within the realm of electoral decision-making. Just as a well-timed joke can lighten the mood, our study sheds light on the enthralling interplay between personal identifiers and political preferences, encouraging further exploration of the unanticipated influences that shape democracy.


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

Please make up the discussion section of an academic research paper presenting the findings of the connection between Popularity of the first name Violet and Libertarian votes for Senators in Wisconsin. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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]]
Violet's Veto: Exploring the Entangled Enigma of Name Popularity and Political Preferences in Wisconsin's Senators

[[ABSTRACT]]
In this groundbreaking study, we delved into the perplexing puzzle of whether the popularity of the first name Violet has any sway on the Libertarian votes for Senators in the cheese-laden state of Wisconsin. Armed with data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we scoured through decades of information to uncover the coveted correlation coefficient of 0.9859037 and a p-value less than 0.01 for the years spanning from 1980 to 2016. Our findings were nothing short of fascinating and it seems that Violet's influence may not just be limited to her charming scent!

Our research team uncovered that the surge in the popularity of the name Violet strangely coincides with a noteworthy rise in the Libertarian votes for Senators in Wisconsin. This unexpected connection left us pondering whether there might be a clandestine network of name-based political influence at play. It’s as if Violet’s brief charm and elegance have managed to captivate the political landscape, much like a dad joke that catches you off guard and leaves you chuckling at its subtle wit.

The implications of our study extend far beyond the boundaries of the Badger State, sparking discussions on the impact of seemingly unrelated factors on political preferences. As we move forward, this research challenges academics and voters alike to consider the unforeseen links between seemingly unrelated variables and emphasizes the importance of a multidisciplinary approach to understanding the whims of democracy. Who knew a name like Violet could cast such a colorful shadow in the political realm?

[[LITERATURE REVIEW]]

The confluence of seemingly unrelated factors on political behavior has sparked curiosity and inquiry among academics and enthusiasts alike. In a study by Smith and Jones (2010), the authors sought to explore the nuances of political preferences and the potential influences that extend beyond conventional determinants. While their focus was on socioeconomic factors and policy preferences, their framework paves the way for examining unconventional variables, such as the popularity of first names, with regard to political outcomes. It's like finding a rare gem in a pile of rocks – unexpected but undeniably intriguing.
Doe et al. (2015) further delved into the realm of voter behavior and decision-making, emphasizing the complex interplay of individual identity and political choices. Their work sheds light on the often subtle and unseen forces that guide electoral allegiances and the potential impact of overlooked personal identifiers. It's as if they stumbled upon a secret stash of political intrigue amid the mundane trappings of everyday life.
Turning to non-fiction literature that could provide insight, "Freakonomics" by Steven D. Levitt and Stephen J. Dubner, offers a compelling exploration of unconventional variables that shape human behavior and decision-making. While their focus may not be directly related to first names and political preferences, their approach encourages readers to consider the unexpected and challenge traditional assumptions. It's like discovering a hidden treasure trove of knowledge in the unlikeliest of places.
In the fictional realm, "The Name of the Wind" by Patrick Rothfuss explores the power of names and their significance in shaping destinies. While the context differs from our study, the underlying theme of the impact of names and identities resonates strongly. It's like stumbling upon a whimsical parallel universe where names hold the key to unforeseen adventures and revelations.
On a lighter note, the movie "Election" provides a satirical exploration of political dynamics, offering a humorous take on the complexities of electoral processes. While the film may not directly address the correlation between name popularity and political preferences, its portrayal of the quirks of democracy serves as a reminder of the unexpected and whimsical nature of political landscapes. It's like stumbling upon a comedic interlude in the midst of serious academic pursuits, offering a moment of levity amidst scholarly endeavors.

[[RESULTS]]
The analysis of the data revealed a striking correlation between the popularity of the name Violet and the Libertarian votes for Senators in Wisconsin. Over the time period from 1980 to 2016, we found a correlation coefficient of 0.9859037 and an r-squared value of 0.9720062, both of which indicated a remarkably strong relationship between these variables. It's almost as surprising as finding a "cheesy" joke in a research paper – unexpected, yet amusingly fitting.
The p-value of less than 0.01 further solidifies the significance of this association, indicating that the likelihood of the observed correlation occurring by chance is exceedingly low. It's as if the name Violet has woven itself into the fabric of political influence, much like the way a good dad joke effortlessly slips into a conversation.
Furthermore, the correlation is visually depicted in Figure 1, a scatterplot illustrating the robust connection between the frequency of the name Violet and the Libertarian votes for Senators in Wisconsin. This compelling visual representation underscores the compelling nature of our findings and provides an unmistakable glimpse into the unexpected relationship between a name and political preferences. The plot serves as a gentle reminder that statistical analysis can both inform and entertain, much like a cleverly crafted joke that leaves a lasting impression.
In summary, our research offers compelling evidence of a substantial correlation between the popularity of the name Violet and the Libertarian votes for Senators in Wisconsin. These unexpected findings bring to light the potential influence of a seemingly ordinary factor on political behavior, prompting a reevaluation of the subtle forces at play within the realm of electoral decision-making. Just as a well-timed joke can lighten the mood, our study sheds light on the enthralling interplay between personal identifiers and political preferences, encouraging further exploration of the unanticipated influences that shape democracy.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

Our findings have left us marveling at the unexpected relationship between the popularity of the name Violet and Libertarian votes for Senators in Wisconsin. The highly significant correlation coefficient and p-value emphasize the robust connection between these variables, compelling us to reevaluate the potential impact of seemingly unrelated factors on political preferences. It's akin to discovering a hidden message in a cryptic crossword puzzle – perplexing at first, but ultimately enlightening.

Our results align closely with prior research that has delved into the intricacies of voter behavior and decision-making. The work of Smith and Jones (2010) set the stage for examining unconventional variables in political outcomes, and our study contributes to this burgeoning area of inquiry by shedding light on the influence of first names. It's as if our research has tied a neat bow around the previously scattered threads of name-based political influence, bringing coherence to this fascinating topic.

Moreover, the unexpected connection we uncovered resonates with the thematic exploration of names and identities in "The Name of the Wind" by Patrick Rothfuss. While our study differs in context, the underlying message of the significance of names in shaping destinies is remarkably relevant. It's as if Violet's influence on political preferences has unfolded as a captivating chapter in the whimsical tale of electoral dynamics.

Additionally, the p-value of less than 0.01 highlights the unlikely occurrence of the observed correlation by chance, underscoring the substantive nature of this association. It's as if the name Violet has stealthily slipped into the realm of political influence, much like a well-timed dad joke that catches you off guard and brings a smile to your face.

Our study's visual representation in Figure 1 further reinforces the compelling nature of our findings. The scatterplot epitomizes the unexpected connection between the frequency of the name Violet and Libertarian votes for Senators in Wisconsin, serving as a visual testament to the captivating relationship we uncovered. It's as if the plot itself has become a playful anecdote amid the serious discourse of statistical analysis, adding a touch of levity to our research.

In conclusion, our study contributes to a broader understanding of the multifaceted influences on political behavior, prompting a reevaluation of the often overlooked factors that shape electoral decision-making. The unexpected relationship between the popularity of the name Violet and political preferences in Wisconsin underscores the enigmatic interplay of seemingly unrelated variables in the democratic process. As we seek to unravel the complex tapestry of political dynamics, our research stands as a testament to the unforeseen connections that underpin the captivating world of electoral influences. Just like a good dad joke, it leaves us pondering the curious and delightful intricacies of our findings.


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

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Popularity of the first name Violet and Libertarian votes for Senators in Wisconsin. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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]]
Violet's Veto: Exploring the Entangled Enigma of Name Popularity and Political Preferences in Wisconsin's Senators

[[ABSTRACT]]
In this groundbreaking study, we delved into the perplexing puzzle of whether the popularity of the first name Violet has any sway on the Libertarian votes for Senators in the cheese-laden state of Wisconsin. Armed with data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we scoured through decades of information to uncover the coveted correlation coefficient of 0.9859037 and a p-value less than 0.01 for the years spanning from 1980 to 2016. Our findings were nothing short of fascinating and it seems that Violet's influence may not just be limited to her charming scent!

Our research team uncovered that the surge in the popularity of the name Violet strangely coincides with a noteworthy rise in the Libertarian votes for Senators in Wisconsin. This unexpected connection left us pondering whether there might be a clandestine network of name-based political influence at play. It’s as if Violet’s brief charm and elegance have managed to captivate the political landscape, much like a dad joke that catches you off guard and leaves you chuckling at its subtle wit.

The implications of our study extend far beyond the boundaries of the Badger State, sparking discussions on the impact of seemingly unrelated factors on political preferences. As we move forward, this research challenges academics and voters alike to consider the unforeseen links between seemingly unrelated variables and emphasizes the importance of a multidisciplinary approach to understanding the whims of democracy. Who knew a name like Violet could cast such a colorful shadow in the political realm?

[[INTRDUCTION]]
The influence of seemingly inconsequential factors on political behavior has long perplexed researchers and pundits alike. In this regard, the correlation between the popularity of the first name Violet and the Libertarian votes for Senators in the state of Wisconsin presents an intriguing enigma. Our investigation sought to shed light on this peculiar association, underscoring the potential significance of seemingly trivial elements in shaping political preferences. As the saying goes, "there's no use crying over spilled milk unless it's spilled in Wisconsin."
Drawing from data obtained from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we set out on a quest to unravel the alleged correspondence between the rise of Violet and the surge in Libertarian votes. Our findings not only unveiled a compelling statistical relationship but also brought to the forefront the unexpected ways in which personal identifiers may influence political allegiances. It's as though the very name Violet casts an alluring spell on the electoral landscape, much like a politician's promises that leave voters both hopeful and skeptical.
Amidst the larger-than-life world of politics, our study serves as a testament to the subtle and often overlooked influences that permeate the electoral arena. The confluence of a seemingly whimsical name's popularity and political choices challenges traditional notions of voter decision-making, reminding us that there are boundless subtleties at play in the democratic process. Who would have thought that the name Violet could emerge as a plausible harbinger of political leanings? It's like discovering a wisecracking, politically savvy parent in a "dad joke" – unsuspecting yet undeniably impactful.
In the following sections, we delve deeper into the intricacies of our analysis, presenting the methodological approach, the empirical findings, and the broader implications of our research. Join us as we untangle the captivating conundrum of Violet's veto – a testament to the unexpected interplay between the mundane and the momentous in the realm of political preferences. Just remember, even in the world of academia, a good pun can go a long way in making complex subjects palatable.

[[RESULTS]]
The analysis of the data revealed a striking correlation between the popularity of the name Violet and the Libertarian votes for Senators in Wisconsin. Over the time period from 1980 to 2016, we found a correlation coefficient of 0.9859037 and an r-squared value of 0.9720062, both of which indicated a remarkably strong relationship between these variables. It's almost as surprising as finding a "cheesy" joke in a research paper – unexpected, yet amusingly fitting.
The p-value of less than 0.01 further solidifies the significance of this association, indicating that the likelihood of the observed correlation occurring by chance is exceedingly low. It's as if the name Violet has woven itself into the fabric of political influence, much like the way a good dad joke effortlessly slips into a conversation.
Furthermore, the correlation is visually depicted in Figure 1, a scatterplot illustrating the robust connection between the frequency of the name Violet and the Libertarian votes for Senators in Wisconsin. This compelling visual representation underscores the compelling nature of our findings and provides an unmistakable glimpse into the unexpected relationship between a name and political preferences. The plot serves as a gentle reminder that statistical analysis can both inform and entertain, much like a cleverly crafted joke that leaves a lasting impression.
In summary, our research offers compelling evidence of a substantial correlation between the popularity of the name Violet and the Libertarian votes for Senators in Wisconsin. These unexpected findings bring to light the potential influence of a seemingly ordinary factor on political behavior, prompting a reevaluation of the subtle forces at play within the realm of electoral decision-making. Just as a well-timed joke can lighten the mood, our study sheds light on the enthralling interplay between personal identifiers and political preferences, encouraging further exploration of the unanticipated influences that shape democracy.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our research has uncovered a remarkable correlation between the popularity of the name Violet and Libertarian votes for Senators in Wisconsin. The statistical significance of our findings is as clear as a "cheesy" joke in this cheese-loving state, highlighting the unexpected yet compelling connection between a seemingly trivial factor and political preferences. It's almost as surprising as a hidden punchline that catches you off guard and leaves you chuckling at its subtle wit.

The implications of our study are as thought-provoking as a classic dad joke, emphasizing the importance of considering seemingly unrelated variables in shaping political behavior. Our findings challenge traditional notions of voter decision-making and underscore the need for a multidisciplinary approach to understanding the whims of democracy. It's as though the name Violet has cast a colorful shadow on the political landscape, much like a vibrant illustration that adds an unexpected pop of humor to a serious discussion.

While the association between the popularity of the name Violet and Libertarian votes for Senators in Wisconsin may seem whimsical, the robust statistical evidence leaves little room for doubt. As such, we assert that no further research is needed in this area. It's as if this study has provided the final punchline, bringing closure to the captivating conundrum of Violet's veto in the political realm. After all, in the words of a good dad joke, sometimes it's best to leave them laughing and wanting more.


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 Violet's Veto: Exploring the Entangled Enigma of Name Popularity and Political Preferences in Wisconsin's Senators. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Political Nameology


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 Violet's Veto: Exploring the Entangled Enigma of Name Popularity and Political Preferences in Wisconsin's Senators. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Quirky Research Studies


Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled Violet's Veto: Exploring the Entangled Enigma of Name Popularity and Political Preferences in Wisconsin's Senators with an abstract of In this groundbreaking study, we delved into the perplexing puzzle of whether the popularity of the first name Violet has any sway on the Libertarian votes for Senators in the cheese-laden state of Wisconsin. Armed with data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we scoured through decades of information to uncover the coveted correlation coefficient of 0.9859037 and a p-value less than 0.01 for the years spanning from 1980 to 2016. Our findings were nothing short of fascinating and it seems that Violet's influence may not just be limited to her charming scent!
Our research team uncovered that the surge in the popularity of the name Violet strangely coincides with a noteworthy rise in the Libertarian votes for Senators in Wisconsin. This unexpected connection left us pondering whether there might be a clandestine network of name-based political influence at play. It’s as if Violet’s brief charm and elegance have managed to captivate the political landscape, much like a dad joke that catches you off guard and leaves you chuckling at its subtle wit.
The implications of our study extend far beyond the boundaries of the Badger State, sparking discussions on the impact of seemingly unrelated factors on political preferences. As we move forward, this research challenges academics and voters alike to consider the unforeseen links between seemingly unrelated variables and emphasizes the importance of a multidisciplinary approach to understanding the whims of democracy. Who knew a name like Violet could cast such a colorful shadow in the political realm?

ChatGPT:

name popularity, political preferences, Wisconsin senators, Libertarian votes, correlation coefficient, p-value, US Social Security Administration, MIT Election Data and Science Lab, Harvard Dataverse, Wisconsin politics, political influence, multidisciplinary approach to understanding democracy

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



Random correlation

Discover a new correlation

View all correlations

View all research papers

Report an error


Data details

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

Votes for Libertarian Senators in Wisconsin
Detailed data title: Total number of votes cast for Federal Libertarian Senate candidates in Wisconsin
Source: MIT Election Data and Science Lab, Harvard Dataverse
See what else correlates with Votes for Libertarian Senators in Wisconsin

Correlation r = 0.9859037 (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 = 0.9720062 (Coefficient of determination)
This means 97.2% of the change in the one variable (i.e., Votes for Libertarian Senators in Wisconsin) is predictable based on the change in the other (i.e., Popularity of the first name Violet) over the 9 years from 1980 through 2016.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.08E-6. 0.0000010800256652245114000000
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 0.99 in 0.000108% of random cases. Said differently, if you correlated 925,904 random variables You don't actually need 925 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 8 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 8 because we have two variables measured over a period of 9 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.

[ 0.93, 1 ] 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.
198019821992199419982000200420122016
Popularity of the first name Violet (Babies born)14115014315923431648232814880
Votes for Libertarian Senators in Wisconsin (Total votes)9679794791471543955912134883676224087531




Why this works

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




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([141,150,143,159,234,316,482,3281,4880,])
array_2 = np.array([9679,7947,9147,15439,5591,21348,8367,62240,87531,])
array_1_name = "Popularity of the first name Violet"
array_2_name = "Votes for Libertarian Senators in Wisconsin"

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

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



Reuseable content

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

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

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

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

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

Download images for these variables:


View another random correlation

How fun was this correlation?

Your correlation inspection deserves a standing ovation!


Correlation ID: 4521 · Black Variable ID: 3933 · Red Variable ID: 26337
about · subscribe · emailme@tylervigen.com · twitter

CC BY 4.0