about · email me · subscribe
Spurious correlation #4,818 · 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 Jaylin and the second variable is Votes for the Republican Presidential candidate in Utah.  The chart goes from 1982 to 2020, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

As the popularity of the name Jaylin rose, so did the preference for J-names, subconsciously reminding people of former President Ronald Reagan, a prominent Republican. It seems the Jaylin craze inadvertently led to a Rea-gan resurgence in Utah. It's like the name Jaylin cast a Rea-ganomic spell on the voters, creating a conservative wave that couldn't be Jaylin-ed.

Model: dalle-3
Prompt: Certainly! Here's an image prompt: Generate a pop art-inspired scene set in a vibrant Utah town. In the foreground, depict a bold, colorful poster with the name "Jaylin" surrounded by smiling faces. In the background, include a large banner reading "Vote Republican" prominently displayed, with a crowd of people wearing "Reagan 84" t-shirts gathered around it. The scene should symbolize the rising popularity of the name Jaylin and the increased support for the Republican party and their presidential candidate in Utah. The use of bright colors and bold outlines will help capture the essence of pop art. 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 Jaylin and Votes for the Republican Presidential candidate in Utah. 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: Cutsy art illustration Concept art Pop art High-tech Cyberpunk
ChatGPT: Pop art

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 Jaylin and Votes for the Republican Presidential candidate in Utah, in the following situation: As the popularity of the name Jaylin rose, so did the preference for J-names, subconsciously reminding people of former President Ronald Reagan, a prominent Republican. It seems the Jaylin craze inadvertently led to a Rea-gan resurgence in Utah. It's like the name Jaylin cast a Rea-ganomic spell on the voters, creating a conservative wave that couldn't be Jaylin-ed.. Keep the description simple.
ChatGPT: In a bustling Utah town, a poster with the name "Jaylin" in bold, colorful letters stands in the foreground, surrounded by smiling faces. In the background, a large banner reading "Vote Republican" is displayed prominently, with a crowd of people wearing "Reagan 84" t-shirts gathered around it. The scene suggests a rising preference for J-names, symbolizing the growing popularity of the name Jaylin alongside the increased support for the Republican party and their presidential candidate in Utah.

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: [ Pop art ] and depicting this scene: In a bustling Utah town, a poster with the name "Jaylin" in bold, colorful letters stands in the foreground, surrounded by smiling faces. In the background, a large banner reading "Vote Republican" is displayed prominently, with a crowd of people wearing "Reagan 84" t-shirts gathered around it. The scene suggests a rising preference for J-names, symbolizing the growing popularity of the name Jaylin alongside the increased support for the Republican party and their presidential candidate in Utah. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Certainly! Here's an image prompt: Generate a pop art-inspired scene set in a vibrant Utah town. In the foreground, depict a bold, colorful poster with the name "Jaylin" surrounded by smiling faces. In the background, include a large banner reading "Vote Republican" prominently displayed, with a crowd of people wearing "Reagan 84" t-shirts gathered around it. The scene should symbolize the rising popularity of the name Jaylin and the increased support for the Republican party and their presidential candidate in Utah. The use of bright colors and bold outlines will help capture the essence of pop art.

*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 Jaylin caused Votes for the Republican Presidential candidate in Utah to increase. Include one good pun.

AI academic paper

(Because p < 0.05)
Jaylin's Popularity in Utah is a Republican's Go-To: A Name Fame Game

Journal of Utah Sociology and Political Psychology

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 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 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 Jaylin and Votes for the Republican Presidential candidate in Utah. Make lots of jokes, goofy observations, and puns.

Rhyme words in the title.

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 0.8039005 and p < 0.05 for 1982 to 2020.

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]]
Jaylin's Popularity in Utah is a Republican's Go-To: A Name Fame Game

[[ABSTRACT]]
This study aims to unravel the correlation between the popularity of the first name "Jaylin" and the votes for the Republican Presidential candidate in the state of Utah. Leveraging data from the US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse, our research team embarked on a riveting expedition. We uncovered a striking correlation coefficient of 0.8039005 and p < 0.05 spanning from 1982 to 2020. Our findings cast light on the surprising influence of a name on political preferences, paving the way for discussions on the impact of nominative determinism in the political realm.


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 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 Jaylin and Votes for the Republican Presidential candidate in Utah. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Here is the title and abstract of the paper:
[[TITLE]]
Jaylin's Popularity in Utah is a Republican's Go-To: A Name Fame Game

[[ABSTRACT]]
This study aims to unravel the correlation between the popularity of the first name "Jaylin" and the votes for the Republican Presidential candidate in the state of Utah. Leveraging data from the US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse, our research team embarked on a riveting expedition. We uncovered a striking correlation coefficient of 0.8039005 and p < 0.05 spanning from 1982 to 2020. Our findings cast light on the surprising influence of a name on political preferences, paving the way for discussions on the impact of nominative determinism in the political realm.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

As humans, we are inherently drawn to labels and categories, be it the latest fashion trends, the newest gadget, or even the quirks of our own names. This fascination with names is not just mere coincidence; it is deeply ingrained within our society, shaping our perceptions and predispositions. In the political arena, where every vote counts and every demographic segment is scrutinized, even the seemingly trivial factor of a person's name can come into play. In this study, we set out to explore the unlikely connection between the popularity of the first name "Jaylin" and the votes for the Republican Presidential candidate in the great state of Utah.

With an abundance of data at our fingertips, we delved into the vast realm of monikers and ballot boxes, brimming with anticipation at the prospect of uncovering a link that seemed to exist only in the realm of statistical whimsy. It was almost as if we were sifting through the haystack of data, in search of that elusive needle of correlation. The name "Jaylin" emerged as our unlikely protagonist, standing at the crossroads of nomenclature and politics. As researchers, we often find ourselves marveling at the peculiar pathways that data illuminates, leading us to unexpected connections and confounding correlations that defy the conventional wisdom of social science.

With this study, we not only seek to highlight the statistical relationship between a name and political affiliation but also to probe the depths of nominative determinism within the context of the Republican party's electoral fortunes in Utah. As we unpack the findings of our research, we invite readers to join us on this intellectual escapade, where the seemingly whimsical interplay of names and voting patterns paints a canvas of complexity and intrigue.


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 Jaylin and Votes for the Republican Presidential candidate in Utah. 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 devolve ever further, and mention something completely ridiculous, like you conducted literature review by reading CVS receipts.

Here is the title and abstract of the paper:
[[TITLE]]
Jaylin's Popularity in Utah is a Republican's Go-To: A Name Fame Game

[[ABSTRACT]]
This study aims to unravel the correlation between the popularity of the first name "Jaylin" and the votes for the Republican Presidential candidate in the state of Utah. Leveraging data from the US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse, our research team embarked on a riveting expedition. We uncovered a striking correlation coefficient of 0.8039005 and p < 0.05 spanning from 1982 to 2020. Our findings cast light on the surprising influence of a name on political preferences, paving the way for discussions on the impact of nominative determinism in the political realm.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
As humans, we are inherently drawn to labels and categories, be it the latest fashion trends, the newest gadget, or even the quirks of our own names. This fascination with names is not just mere coincidence; it is deeply ingrained within our society, shaping our perceptions and predispositions. In the political arena, where every vote counts and every demographic segment is scrutinized, even the seemingly trivial factor of a person's name can come into play. In this study, we set out to explore the unlikely connection between the popularity of the first name "Jaylin" and the votes for the Republican Presidential candidate in the great state of Utah.
With an abundance of data at our fingertips, we delved into the vast realm of monikers and ballot boxes, brimming with anticipation at the prospect of uncovering a link that seemed to exist only in the realm of statistical whimsy. It was almost as if we were sifting through the haystack of data, in search of that elusive needle of correlation. The name "Jaylin" emerged as our unlikely protagonist, standing at the crossroads of nomenclature and politics. As researchers, we often find ourselves marveling at the peculiar pathways that data illuminates, leading us to unexpected connections and confounding correlations that defy the conventional wisdom of social science.
With this study, we not only seek to highlight the statistical relationship between a name and political affiliation but also to probe the depths of nominative determinism within the context of the Republican party's electoral fortunes in Utah. As we unpack the findings of our research, we invite readers to join us on this intellectual escapade, where the seemingly whimsical interplay of names and voting patterns paints a canvas of complexity and intrigue.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The connection between the popularity of the first name "Jaylin" and the votes for the Republican Presidential candidate in Utah has piqued the curiosity of researchers and enthusiasts alike. Smith et al. (2010) conducted a comprehensive analysis of name popularity in various states and its potential influence on political affiliations. The authors find a notable correlation between unique names and conservative voting patterns, laying the groundwork for further exploration in this intriguing intersection of nomenclature and politics.

Doe and Jones (2015) extended this inquiry by examining specific regions where non-traditional names coincide with right-leaning ideologies. Their findings reveal a penchant for certain distinctive names within Republican strongholds, shedding light on the subtle yet captivating sway of individual monikers on electoral preferences. These early studies underscore the nuanced interplay between names and political inclinations, setting the stage for our investigation into the curious case of "Jaylin" in relation to the Republican vote in Utah.

On a more theoretical level, Gellar and Thurston (2017) expound upon the concept of nominative determinism, delving into the psychological implications of name symbolism and its potential impact on decision-making processes. Their scholarly discourse offers valuable insights into the underlying mechanisms that could underpin the correlation between a name's popularity and partisan support, prompting us to consider the broader implications of our empirical findings within the framework of nominative determinism.

Shifting to a more socio-anthropological perspective, "Freakonomics" by Steven D. Levitt and Stephen J. Dubner (2005) presents a compelling exploration of the subtle influences that permeate everyday phenomena, including the realm of names and their unforeseen ramifications. While not a direct study on the subject matter at hand, the book's thought-provoking analyses of seemingly unrelated correlations serve as a reminder of the intricate tapestry of human behavior and the potential relevance of our investigation into the "Jaylin" phenomenon.

In the realm of fiction, novels such as "The Name of the Wind" by Patrick Rothfuss and "The Shadow of the Wind" by Carlos Ruiz Zafón intricately weave tales of mystery and intrigue around the significance of names, albeit in a wholly different context. While these literary works do not offer empirical insights into our research inquiry, they serve as a whimsical reminder of the enduring allure of names and the enigmatic power they hold in shaping narratives, both real and imagined.

In a departure from conventional research channels, a rather unorthodox approach was taken in the pursuit of comprehensive literature review. This involved perusing a plethora of unassuming sources, including but not limited to unconventional repositories of human expression such as novelty license plates, absurdly titled self-help books, whimsical tea flavors, and even deciphering the enigmatic codes embedded within the labyrinthine constructs of CVS receipts. While the academic rigor of this approach may raise eyebrows, the eclectic insights gleaned from these unconventional sources add an unexpected layer of levity and whimsy to our scholarly exploration of the intersection between "Jaylin" and Republican votes in Utah.


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 Jaylin and Votes for the Republican Presidential candidate in Utah. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse . You used data from 1982 to 2020

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]]
Jaylin's Popularity in Utah is a Republican's Go-To: A Name Fame Game

[[ABSTRACT]]
This study aims to unravel the correlation between the popularity of the first name "Jaylin" and the votes for the Republican Presidential candidate in the state of Utah. Leveraging data from the US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse, our research team embarked on a riveting expedition. We uncovered a striking correlation coefficient of 0.8039005 and p < 0.05 spanning from 1982 to 2020. Our findings cast light on the surprising influence of a name on political preferences, paving the way for discussions on the impact of nominative determinism in the political realm.

[[INTRODUCTION]]
As humans, we are inherently drawn to labels and categories, be it the latest fashion trends, the newest gadget, or even the quirks of our own names. This fascination with names is not just mere coincidence; it is deeply ingrained within our society, shaping our perceptions and predispositions. In the political arena, where every vote counts and every demographic segment is scrutinized, even the seemingly trivial factor of a person's name can come into play. In this study, we set out to explore the unlikely connection between the popularity of the first name "Jaylin" and the votes for the Republican Presidential candidate in the great state of Utah.
With an abundance of data at our fingertips, we delved into the vast realm of monikers and ballot boxes, brimming with anticipation at the prospect of uncovering a link that seemed to exist only in the realm of statistical whimsy. It was almost as if we were sifting through the haystack of data, in search of that elusive needle of correlation. The name "Jaylin" emerged as our unlikely protagonist, standing at the crossroads of nomenclature and politics. As researchers, we often find ourselves marveling at the peculiar pathways that data illuminates, leading us to unexpected connections and confounding correlations that defy the conventional wisdom of social science.
With this study, we not only seek to highlight the statistical relationship between a name and political affiliation but also to probe the depths of nominative determinism within the context of the Republican party's electoral fortunes in Utah. As we unpack the findings of our research, we invite readers to join us on this intellectual escapade, where the seemingly whimsical interplay of names and voting patterns paints a canvas of complexity and intrigue.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

In order to examine the correlation between the popularity of the first name "Jaylin" and the votes for the Republican Presidential candidate in Utah, a series of convoluted and meticulously crafted research methodologies were employed. We harnessed the power of data from the US Social Security Administration, MIT Election Data and Science Lab, and the Harvard Dataverse, spanning the years 1982 to 2020.

First and foremost, the data on the popularity of the name "Jaylin" was gathered from the US Social Security Administration, which provided an extensive dataset of baby names and their frequencies over the specified time period. As we delved into this sea of nomenclature, it was akin to embarking on a linguistic odyssey, unraveling the twists and turns of name popularity with the fervor of intrepid explorers in uncharted territory.

Simultaneously, the election results for the state of Utah were sourced from the MIT Election Data and Science Lab, which furnished a treasure trove of electoral data. It was akin to digging through the archaeological layers of political history, unearthing the relics of ballot counts and electoral outcomes with the zeal of scholarly detectives on a quest for buried statistical treasure.

On merging these disparate yet intriguing datasets, a wave of statistical analysis ensued. The correlation between the frequency of the name "Jaylin" and the Republican Presidential votes in Utah was examined using advanced statistical techniques, where we marveled at the interplay of numbers and nomenclature in a ballet of data-driven intrigue.

To further validate our findings, inferential statistical methods such as correlation analysis and significance testing were performed, resembling a symphony of scientific scrutiny aimed at harmonizing the discordant notes of name popularity and political leaning into a coherent melody of statistical significance.

The resulting correlation coefficient of 0.8039005 and a p-value less than 0.05 sent shockwaves through the academic community, as it underscored the unforeseen connection between a name and political preference. Our methodological journey, while arduous, yielded captivating insights into the impact of nominative determinism in shaping political allegiance, sparking contemplation on the curious confluence of nomenclature and voting behavior.


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 Jaylin and Votes for the Republican Presidential candidate in Utah. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse .

For the time period 1982 to 2020, you found a correlation 0.8039005, r-squared of 0.6462560, and p < 0.05.

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]]
Jaylin's Popularity in Utah is a Republican's Go-To: A Name Fame Game

[[ABSTRACT]]
This study aims to unravel the correlation between the popularity of the first name "Jaylin" and the votes for the Republican Presidential candidate in the state of Utah. Leveraging data from the US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse, our research team embarked on a riveting expedition. We uncovered a striking correlation coefficient of 0.8039005 and p < 0.05 spanning from 1982 to 2020. Our findings cast light on the surprising influence of a name on political preferences, paving the way for discussions on the impact of nominative determinism in the political realm.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
As humans, we are inherently drawn to labels and categories, be it the latest fashion trends, the newest gadget, or even the quirks of our own names. This fascination with names is not just mere coincidence; it is deeply ingrained within our society, shaping our perceptions and predispositions. In the political arena, where every vote counts and every demographic segment is scrutinized, even the seemingly trivial factor of a person's name can come into play. In this study, we set out to explore the unlikely connection between the popularity of the first name "Jaylin" and the votes for the Republican Presidential candidate in the great state of Utah.
With an abundance of data at our fingertips, we delved into the vast realm of monikers and ballot boxes, brimming with anticipation at the prospect of uncovering a link that seemed to exist only in the realm of statistical whimsy. It was almost as if we were sifting through the haystack of data, in search of that elusive needle of correlation. The name "Jaylin" emerged as our unlikely protagonist, standing at the crossroads of nomenclature and politics. As researchers, we often find ourselves marveling at the peculiar pathways that data illuminates, leading us to unexpected connections and confounding correlations that defy the conventional wisdom of social science.
With this study, we not only seek to highlight the statistical relationship between a name and political affiliation but also to probe the depths of nominative determinism within the context of the Republican party's electoral fortunes in Utah. As we unpack the findings of our research, we invite readers to join us on this intellectual escapade, where the seemingly whimsical interplay of names and voting patterns paints a canvas of complexity and intrigue.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The enthralling journey through the labyrinth of data has yielded a remarkable revelation, encapsulated in a correlation coefficient of 0.8039005 between the popularity of the first name "Jaylin" and the votes for the Republican Presidential candidate in the illustrious state of Utah. This finding suggests a strong positive association between the nomenclature phenomenon and political predilections within this specific demographic.

The r-squared value of 0.6462560 further substantiates the robustness of this relationship, indicating that approximately 64.6% of the variation in the votes for the Republican Presidential candidate in Utah can be explained by the popularity of the name "Jaylin." Who would have thought that a name could exercise such a pervasive influence over political allegiances?

In accordance with the set significance level, the p-value of less than 0.05 furnishes compelling evidence to reject the null hypothesis, solidifying the notion that there exists a statistically significant relationship between the two variables. It appears that the name "Jaylin" possesses a certain magnetism, drawing individuals towards the Republican candidate in the striking backdrop of Utah's political landscape.

The graphical representation of this intriguing association is immortalized in Figure 1, where a scatterplot vividly depicts the steadfast convergence of the popularity of the name "Jaylin" and the votes for the Republican Presidential candidate in Utah. One can't help but marvel at the visual manifestation of this peculiar nexus, underscoring the captivating interplay of nomenclature and political inclinations. Truly, the intersection of statistics and social phenomena has woven a tale of whimsy and wonderment in this exhaustive pursuit of knowledge.

These findings beckon us to contemplate the enigmatic allure of names and their potential to sway the electoral pendulum, transcending the boundaries of traditional political analyses. Just as the idiosyncrasies of human behavior continue to perplex and intrigue, so too does the profound impact of a name resonate within the echelons of political dynamics.


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 Jaylin and Votes for the Republican Presidential candidate in Utah. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Limit your response to 500 tokens.

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

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

[[TITLE]]
Jaylin's Popularity in Utah is a Republican's Go-To: A Name Fame Game

[[ABSTRACT]]
This study aims to unravel the correlation between the popularity of the first name "Jaylin" and the votes for the Republican Presidential candidate in the state of Utah. Leveraging data from the US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse, our research team embarked on a riveting expedition. We uncovered a striking correlation coefficient of 0.8039005 and p < 0.05 spanning from 1982 to 2020. Our findings cast light on the surprising influence of a name on political preferences, paving the way for discussions on the impact of nominative determinism in the political realm.

[[LITERATURE REVIEW]]
The connection between the popularity of the first name "Jaylin" and the votes for the Republican Presidential candidate in Utah has piqued the curiosity of researchers and enthusiasts alike. Smith et al. (2010) conducted a comprehensive analysis of name popularity in various states and its potential influence on political affiliations. The authors find a notable correlation between unique names and conservative voting patterns, laying the groundwork for further exploration in this intriguing intersection of nomenclature and politics.
Doe and Jones (2015) extended this inquiry by examining specific regions where non-traditional names coincide with right-leaning ideologies. Their findings reveal a penchant for certain distinctive names within Republican strongholds, shedding light on the subtle yet captivating sway of individual monikers on electoral preferences. These early studies underscore the nuanced interplay between names and political inclinations, setting the stage for our investigation into the curious case of "Jaylin" in relation to the Republican vote in Utah.
On a more theoretical level, Gellar and Thurston (2017) expound upon the concept of nominative determinism, delving into the psychological implications of name symbolism and its potential impact on decision-making processes. Their scholarly discourse offers valuable insights into the underlying mechanisms that could underpin the correlation between a name's popularity and partisan support, prompting us to consider the broader implications of our empirical findings within the framework of nominative determinism.
Shifting to a more socio-anthropological perspective, "Freakonomics" by Steven D. Levitt and Stephen J. Dubner (2005) presents a compelling exploration of the subtle influences that permeate everyday phenomena, including the realm of names and their unforeseen ramifications. While not a direct study on the subject matter at hand, the book's thought-provoking analyses of seemingly unrelated correlations serve as a reminder of the intricate tapestry of human behavior and the potential relevance of our investigation into the "Jaylin" phenomenon.
In the realm of fiction, novels such as "The Name of the Wind" by Patrick Rothfuss and "The Shadow of the Wind" by Carlos Ruiz Zafón intricately weave tales of mystery and intrigue around the significance of names, albeit in a wholly different context. While these literary works do not offer empirical insights into our research inquiry, they serve as a whimsical reminder of the enduring allure of names and the enigmatic power they hold in shaping narratives, both real and imagined.
In a departure from conventional research channels, a rather unorthodox approach was taken in the pursuit of comprehensive literature review. This involved perusing a plethora of unassuming sources, including but not limited to unconventional repositories of human expression such as novelty license plates, absurdly titled self-help books, whimsical tea flavors, and even deciphering the enigmatic codes embedded within the labyrinthine constructs of CVS receipts. While the academic rigor of this approach may raise eyebrows, the eclectic insights gleaned from these unconventional sources add an unexpected layer of levity and whimsy to our scholarly exploration of the intersection between "Jaylin" and Republican votes in Utah.

[[RESULTS]]
The enthralling journey through the labyrinth of data has yielded a remarkable revelation, encapsulated in a correlation coefficient of 0.8039005 between the popularity of the first name "Jaylin" and the votes for the Republican Presidential candidate in the illustrious state of Utah. This finding suggests a strong positive association between the nomenclature phenomenon and political predilections within this specific demographic.
The r-squared value of 0.6462560 further substantiates the robustness of this relationship, indicating that approximately 64.6% of the variation in the votes for the Republican Presidential candidate in Utah can be explained by the popularity of the name "Jaylin." Who would have thought that a name could exercise such a pervasive influence over political allegiances?
In accordance with the set significance level, the p-value of less than 0.05 furnishes compelling evidence to reject the null hypothesis, solidifying the notion that there exists a statistically significant relationship between the two variables. It appears that the name "Jaylin" possesses a certain magnetism, drawing individuals towards the Republican candidate in the striking backdrop of Utah's political landscape.
The graphical representation of this intriguing association is immortalized in Figure 1, where a scatterplot vividly depicts the steadfast convergence of the popularity of the name "Jaylin" and the votes for the Republican Presidential candidate in Utah. One can't help but marvel at the visual manifestation of this peculiar nexus, underscoring the captivating interplay of nomenclature and political inclinations. Truly, the intersection of statistics and social phenomena has woven a tale of whimsy and wonderment in this exhaustive pursuit of knowledge.
These findings beckon us to contemplate the enigmatic allure of names and their potential to sway the electoral pendulum, transcending the boundaries of traditional political analyses. Just as the idiosyncrasies of human behavior continue to perplex and intrigue, so too does the profound impact of a name resonate within the echelons of political dynamics.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

Ah, the saga of Jaylin and the Republican Presidential candidate in Utah unfolds with an undeniable air of nomenclatural mystique. Our empirical voyage has not only illuminated an unexpected correlation but has also launched us headfirst into the whimsical world of nominative determinism. The enigmatic pull of "Jaylin" on Utah's political landscape, as reflected in the resoundingly affirmative correlation coefficient and p-value, underscores the notion that there's more to a name than meets the eye.

Our findings align harmoniously with the quizzical musings of Smith et al. (2010), who first ventured into the terrain of name popularity and political proclivities, and Doe and Jones (2015), who delved into the distinctiveness of names in conservative strongholds. With a twinkle of serendipity, the substantial correlation we unearthed echoes the subtle yet captivating sway of individual monikers on electoral preferences, affirming the empirical underpinnings of earlier scholarship. Gellar and Thurston's (2017) meticulous dissection of nominative determinism finds validation in our robust results, as the allure of "Jaylin" exerts a palpable influence on Republican voting tendencies in the picturesque environs of Utah.

Our academic excursion was anything but conventional, drawing inspiration not only from esteemed research but also from the unexpected sources encountered along the meandering path of scholarship. It is with a blend of mirth and reverence that we acknowledge the unorthodox wisdom of novelty license plates, whimsical tea flavors, and the enigmatic lore of CVS receipts, all of which added an unforeseen layer of levity to our scholarly pursuit.

As we confront the notable correlation between Jaylin's popularity and Republican votes, we are reminded of the intrinsic intrigue that permeates the realm of names and their unforeseen impact on human behavior. Much like the thought-provoking analyses presented in "Freakonomics," the intersection of statistical rigor and social phenomena has conjured a mesmerizing tale of empirical whimsy, where the currency of nomenclature holds sway over political proclivities, defying conventional paradigms.

Indeed, the enthralling dance of data in this study mirrors the dazzling complexity of human interactions, where the seemingly innocuous variable of a name wields an inexplicable pull on the political allegiances of a discerning populace. As we continue to unravel the enigmatic tapestry of human behavior, the unexpected connection between Jaylin and Republican votes serves as a poignant reminder of the enduring allure of names and their enigmatic power in shaping narratives, both real and imagined.


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 Jaylin and Votes for the Republican Presidential candidate in Utah. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Jaylin's Popularity in Utah is a Republican's Go-To: A Name Fame Game

[[ABSTRACT]]
This study aims to unravel the correlation between the popularity of the first name "Jaylin" and the votes for the Republican Presidential candidate in the state of Utah. Leveraging data from the US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse, our research team embarked on a riveting expedition. We uncovered a striking correlation coefficient of 0.8039005 and p < 0.05 spanning from 1982 to 2020. Our findings cast light on the surprising influence of a name on political preferences, paving the way for discussions on the impact of nominative determinism in the political realm.

[[INTRDUCTION]]
As humans, we are inherently drawn to labels and categories, be it the latest fashion trends, the newest gadget, or even the quirks of our own names. This fascination with names is not just mere coincidence; it is deeply ingrained within our society, shaping our perceptions and predispositions. In the political arena, where every vote counts and every demographic segment is scrutinized, even the seemingly trivial factor of a person's name can come into play. In this study, we set out to explore the unlikely connection between the popularity of the first name "Jaylin" and the votes for the Republican Presidential candidate in the great state of Utah.
With an abundance of data at our fingertips, we delved into the vast realm of monikers and ballot boxes, brimming with anticipation at the prospect of uncovering a link that seemed to exist only in the realm of statistical whimsy. It was almost as if we were sifting through the haystack of data, in search of that elusive needle of correlation. The name "Jaylin" emerged as our unlikely protagonist, standing at the crossroads of nomenclature and politics. As researchers, we often find ourselves marveling at the peculiar pathways that data illuminates, leading us to unexpected connections and confounding correlations that defy the conventional wisdom of social science.
With this study, we not only seek to highlight the statistical relationship between a name and political affiliation but also to probe the depths of nominative determinism within the context of the Republican party's electoral fortunes in Utah. As we unpack the findings of our research, we invite readers to join us on this intellectual escapade, where the seemingly whimsical interplay of names and voting patterns paints a canvas of complexity and intrigue.

[[RESULTS]]
The enthralling journey through the labyrinth of data has yielded a remarkable revelation, encapsulated in a correlation coefficient of 0.8039005 between the popularity of the first name "Jaylin" and the votes for the Republican Presidential candidate in the illustrious state of Utah. This finding suggests a strong positive association between the nomenclature phenomenon and political predilections within this specific demographic.
The r-squared value of 0.6462560 further substantiates the robustness of this relationship, indicating that approximately 64.6% of the variation in the votes for the Republican Presidential candidate in Utah can be explained by the popularity of the name "Jaylin." Who would have thought that a name could exercise such a pervasive influence over political allegiances?
In accordance with the set significance level, the p-value of less than 0.05 furnishes compelling evidence to reject the null hypothesis, solidifying the notion that there exists a statistically significant relationship between the two variables. It appears that the name "Jaylin" possesses a certain magnetism, drawing individuals towards the Republican candidate in the striking backdrop of Utah's political landscape.
The graphical representation of this intriguing association is immortalized in Figure 1, where a scatterplot vividly depicts the steadfast convergence of the popularity of the name "Jaylin" and the votes for the Republican Presidential candidate in Utah. One can't help but marvel at the visual manifestation of this peculiar nexus, underscoring the captivating interplay of nomenclature and political inclinations. Truly, the intersection of statistics and social phenomena has woven a tale of whimsy and wonderment in this exhaustive pursuit of knowledge.
These findings beckon us to contemplate the enigmatic allure of names and their potential to sway the electoral pendulum, transcending the boundaries of traditional political analyses. Just as the idiosyncrasies of human behavior continue to perplex and intrigue, so too does the profound impact of a name resonate within the echelons of political dynamics.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our foray into the realm of nominative determinism has shed light on the curious connection between the popularity of the first name "Jaylin" and the votes for the Republican Presidential candidate in the scenic expanse of Utah. It appears that the allure of this moniker extends beyond mere lexical charisma and delves into the intricate web of political inclinations.

The robust correlation coefficient of 0.8039005 stands as a testament to the resounding resonance of "Jaylin" within the landscape of Utah's electoral preferences. It seems that the name "Jaylin" possesses an almost magnetic pull, akin to the gravitational force that shapes celestial orbits, but in the realm of political allegiance. One might even say it's a "name-nomical" phenomenon, traversing the statistical cosmos with its celestial charm.

The r-squared value of 0.6462560 further cements the notion that "Jaylin" holds a noteworthy sway over the votes for the Republican Presidential candidate in Utah. It's almost as if this name has donned the cloak of statistical significance, waltzing through the corridors of electoral statistics with an air of unassuming influence.

The scatterplot, akin to a constellation in the empirical firmament, paints a picture of whimsy and intrigue, capturing the steadfast convergence of "Jaylin's" popularity and the Republican votes in Utah. This visual representation serves as a reminder that within the labyrinth of data and statistics, one can stumble upon the most unexpected and delightful correlations, like uncovering a statistical Easter egg.

As we bid adieu to this captivating journey, we dare to assert that no more research is needed in this area. For it seems that the name "Jaylin" has etched its indelible mark on the annals of Utah's electoral landscape, leaving statisticians and researchers bemused by the uncanny interplay of nomenclature and political predilections. Let us, therefore, raise a toast to the enigma of names and their curious role in the tapestry of politics.


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 Jaylin's Popularity in Utah is a Republican's Go-To: A Name Fame Game. Respond only with the name of a fictional academic journal.

ChatGPT:

Journal of Utah Sociology and Political Psychology


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 Jaylin's Popularity in Utah is a Republican's Go-To: A Name Fame Game. Respond only with the name of a fictional organization.

ChatGPT:

The Association for Sociopolitical Name Analysis and Perception (ASNAP)


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 Jaylin's Popularity in Utah is a Republican's Go-To: A Name Fame Game with an abstract of This study aims to unravel the correlation between the popularity of the first name "Jaylin" and the votes for the Republican Presidential candidate in the state of Utah. Leveraging data from the US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse, our research team embarked on a riveting expedition. We uncovered a striking correlation coefficient of 0.8039005 and p < 0.05 spanning from 1982 to 2020. Our findings cast light on the surprising influence of a name on political preferences, paving the way for discussions on the impact of nominative determinism in the political realm.

ChatGPT:

Jaylin popularity, Utah, Republican, correlation, first name popularity, political influence, name impact, nominative determinism, US Social Security Administration, MIT Election Data and Science Lab, Harvard Dataverse.

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

Votes for the Republican Presidential candidate in Utah
Detailed data title: Percentage of all votes cast for the Republican Presidential candidate in Utah
Source: MIT Election Data and Science Lab, Harvard Dataverse
See what else correlates with Votes for the Republican Presidential candidate in Utah

Correlation r = 0.8039005 (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 = 0.6462560 (Coefficient of determination)
This means 64.6% of the change in the one variable (i.e., Votes for the Republican Presidential candidate in Utah) is predictable based on the change in the other (i.e., Popularity of the first name Jaylin) over the 8 years from 1982 through 2020.

p < 0.05, which statistically significant(Null hypothesis significance test)
The p-value is 0.016. 0.0161885447485387820000000000
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 0.8 in 1.6% of random cases. Said differently, if you correlated 62 random variables Which I absolutely did.
with the same 7 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 7 because we have two variables measured over a period of 8 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.

[ 0.23, 0.96 ] 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.
19921996200020042008201220162020
Popularity of the first name Jaylin (Babies born)4935376510441049658389435
Votes for the Republican Presidential candidate in Utah (Percentage of votes)43.364654.371366.830171.535962.583972.790545.540858.1298




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.
  5. Y-axis doesn't start at zero: I truncated the Y-axes of the graph above. I also used a line graph, which makes the visual connection stand out more than it deserves. Nothing against line graphs. They are great at telling a story when you have linear data! But visually it is deceptive because the only data is at the points on the graph, not the lines on the graph. In between each point, the data could have been doing anything. Like going for a random walk by itself!
    Mathematically what I showed is true, but it is intentionally misleading. Below is the same chart but with both Y-axes starting at zero.




Try it yourself

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

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

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

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

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

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

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

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

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


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

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

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

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

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([49,353,765,1044,1049,658,389,435,])
array_2 = np.array([43.3646,54.3713,66.8301,71.5359,62.5839,72.7905,45.5408,58.1298,])
array_1_name = "Popularity of the first name Jaylin"
array_2_name = "Votes for the Republican Presidential candidate in Utah"

# 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 rating skills are top-notch!


Correlation ID: 4818 · Black Variable ID: 3137 · Red Variable ID: 26177
about · subscribe · emailme@tylervigen.com · twitter

CC BY 4.0