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AI explanation
It turns out that each time someone heard the name Jaylan, their brain emitted tiny pro-Republican candidate radio waves. As more and more tiny waves filled the air in Colorado, undecided voters couldn't help but be swayed by the unseen political forces at play. It was a case of political name magic, where the mere utterance of Jaylan had the power to tip the scales in favor of the Republican Presidential candidate. Remember, when it comes to elections, never underestimate the unexpected influences that can sway voters' decisions!
Model: dalle-3
Prompt: Generate an image of a bustling Colorado town square with colorful buildings and people walking around. In the sky, a massive word cloud hovers, displaying the name "Jaylan" in bold letters. Each person in the crowd has invisible radio waves emanating from their heads, swirling through the air and transforming into Republican elephant symbols. The town square is gradually surrounded by a sea of numerous tiny red elephants, representing the subtle influence of the political name magic on undecided voters. 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 Jaylan and Votes for the Republican Presidential candidate in Colorado. 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: a funny image macro Low poly a funny image you would see on reddit Cybernetic art Vaporwave
ChatGPT: a funny image you would see on reddit
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 Jaylan and Votes for the Republican Presidential candidate in Colorado, in the following situation: It turns out that each time someone heard the name Jaylan, their brain emitted tiny pro-Republican candidate radio waves. As more and more tiny waves filled the air in Colorado, undecided voters couldn't help but be swayed by the unseen political forces at play. It was a case of political name magic, where the mere utterance of Jaylan had the power to tip the scales in favor of the Republican Presidential candidate. Remember, when it comes to elections, never underestimate the unexpected influences that can sway voters' decisions!. Keep the description simple.
ChatGPT: In a bustling Colorado town square, a giant word cloud hovers above the crowd, displaying the name "Jaylan" in bold letters. As each person hears the name, invisible radio waves emanate from their heads, swirling through the air and morphing into Republican elephant symbols. The town square is slowly engulfed in a sea of tiny red elephants, as undecided voters begin to feel the subtle influence of the political name magic.
Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ a funny image you would see on reddit ] and depicting this scene: In a bustling Colorado town square, a giant word cloud hovers above the crowd, displaying the name "Jaylan" in bold letters. As each person hears the name, invisible radio waves emanate from their heads, swirling through the air and morphing into Republican elephant symbols. The town square is slowly engulfed in a sea of tiny red elephants, as undecided voters begin to feel the subtle influence of the political name magic. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a bustling Colorado town square with colorful buildings and people walking around. In the sky, a massive word cloud hovers, displaying the name "Jaylan" in bold letters. Each person in the crowd has invisible radio waves emanating from their heads, swirling through the air and transforming into Republican elephant symbols. The town square is gradually surrounded by a sea of numerous tiny red elephants, representing the subtle influence of the political name magic on undecided voters.
*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.
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 increases in Popularity of the first name Jaylan positively influenced Votes for the Republican Presidential candidate in Colorado.\Make it sound serious until the end.
AI academic paper
 |
Jaylan, Votes, and Mitt: An Examination of the Republican Presidential Candidate Popularity in Colorado Journal of Political Dynamics and Public Opinion Jan 2024 Reminder: This paper is AI-generated. Not real! |
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 Jaylan and Votes for the Republican Presidential candidate in Colorado. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Make the title seem clever.
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 0.8941641 and p < 0.01 for 1989 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]]
"Jaylan, Votes, and Mitt: An Examination of the Republican Presidential Candidate Popularity in Colorado"
[[ABSTRACT]]
In this study, we delve into the seemingly whimsical yet surprisingly intriguing correlation between the popularity of the first name Jaylan and the votes for the Republican presidential candidate in the beautiful state of Colorado. Utilizing data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we examined the time period from 1989 to 2020, uncovering a correlation coefficient of 0.8941641 and p-value less than 0.01.
Our findings left us positively floored, akin to the reaction of a dad who just read a novel about antigravity. The results suggest that there is a captivating connection between the frequency of the name Jaylan and the voting patterns in the Republican primaries. Our research adds a touch of whimsy to the electoral process and shows that statistical analyses can sometimes draw parallels between unexpected phenomena, much like when a dad finds himself unexpectedly drawn to a dad joke: a phenomenon that defies both logic and reason but brings joy nonetheless.
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 Jaylan and Votes for the Republican Presidential candidate in Colorado. 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]]
"Jaylan, Votes, and Mitt: An Examination of the Republican Presidential Candidate Popularity in Colorado"
[[ABSTRACT]]
In this study, we delve into the seemingly whimsical yet surprisingly intriguing correlation between the popularity of the first name Jaylan and the votes for the Republican presidential candidate in the beautiful state of Colorado. Utilizing data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we examined the time period from 1989 to 2020, uncovering a correlation coefficient of 0.8941641 and p-value less than 0.01.
Our findings left us positively floored, akin to the reaction of a dad who just read a novel about antigravity. The results suggest that there is a captivating connection between the frequency of the name Jaylan and the voting patterns in the Republican primaries. Our research adds a touch of whimsy to the electoral process and shows that statistical analyses can sometimes draw parallels between unexpected phenomena, much like when a dad finds himself unexpectedly drawn to a dad joke: a phenomenon that defies both logic and reason but brings joy nonetheless.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
Jaylan, as a first name, may not be a household name, but it has certainly left an indelible mark in the diverse tapestry of American nomenclature. Likewise, the electoral landscape of Colorado has often caught the attention of pundits and politicians alike, serving as a barometer for national political trends. In this paper, we seek to unravel the enthralling connection between the popularity of the first name Jaylan and the votes for the Republican presidential candidate in Colorado. It’s as if we’re peeling back the layers of an onion to reveal a delightful, statistically significant surprise – much like when a dad finds an unexpected sale on non-stick pans.
Names often carry cultural connotations, familial traditions, and societal influences. Thus, the correlation between the frequency of the name Jaylan and Republican voting patterns presents an academically captivating puzzle. While the task of untangling this correlation might seem as daunting as a dad being asked to explain the moon landing to a five-year-old, it nonetheless represents an enthralling opportunity to examine the intersection of personal identity and political behavior.
As we embark on this wondrous journey through data analysis, let us not forget to maintain a keen sense of humor – much like a dad who’s busy crafting a pun about electron configuration while binging a science documentary. Our inquiry into this correlation offers a delightful diversion from the standard political analyses, shedding light on the unpredictable ways in which human behavior and statistical trends intersect. Just as a good punchline unexpectedly changes the mood of a conversation, our findings promise to add an element of surprise to the discourse on electoral voting patterns.
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 Jaylan and Votes for the Republican Presidential candidate in Colorado. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.
Make up the lorem and ipsum part, but make it sound related to the topic at hand.
Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then devolve ever further, and mention something completely ridiculous, like you conducted literature review by reading the backs of shampoo bottles.
Here is the title and abstract of the paper:
[[TITLE]]
"Jaylan, Votes, and Mitt: An Examination of the Republican Presidential Candidate Popularity in Colorado"
[[ABSTRACT]]
In this study, we delve into the seemingly whimsical yet surprisingly intriguing correlation between the popularity of the first name Jaylan and the votes for the Republican presidential candidate in the beautiful state of Colorado. Utilizing data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we examined the time period from 1989 to 2020, uncovering a correlation coefficient of 0.8941641 and p-value less than 0.01.
Our findings left us positively floored, akin to the reaction of a dad who just read a novel about antigravity. The results suggest that there is a captivating connection between the frequency of the name Jaylan and the voting patterns in the Republican primaries. Our research adds a touch of whimsy to the electoral process and shows that statistical analyses can sometimes draw parallels between unexpected phenomena, much like when a dad finds himself unexpectedly drawn to a dad joke: a phenomenon that defies both logic and reason but brings joy nonetheless.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
Jaylan, as a first name, may not be a household name, but it has certainly left an indelible mark in the diverse tapestry of American nomenclature. Likewise, the electoral landscape of Colorado has often caught the attention of pundits and politicians alike, serving as a barometer for national political trends. In this paper, we seek to unravel the enthralling connection between the popularity of the first name Jaylan and the votes for the Republican presidential candidate in Colorado. It’s as if we’re peeling back the layers of an onion to reveal a delightful, statistically significant surprise – much like when a dad finds an unexpected sale on non-stick pans.
Names often carry cultural connotations, familial traditions, and societal influences. Thus, the correlation between the frequency of the name Jaylan and Republican voting patterns presents an academically captivating puzzle. While the task of untangling this correlation might seem as daunting as a dad being asked to explain the moon landing to a five-year-old, it nonetheless represents an enthralling opportunity to examine the intersection of personal identity and political behavior.
As we embark on this wondrous journey through data analysis, let us not forget to maintain a keen sense of humor – much like a dad who’s busy crafting a pun about electron configuration while binging a science documentary. Our inquiry into this correlation offers a delightful diversion from the standard political analyses, shedding light on the unpredictable ways in which human behavior and statistical trends intersect. Just as a good punchline unexpectedly changes the mood of a conversation, our findings promise to add an element of surprise to the discourse on electoral voting patterns.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
The study of first name popularity and its potential influence on voting behavior has been a subject of interest for researchers across multiple disciplines. Smith (2010) delved into the cultural significance of names and their impact on social interactions, while Doe (2015) explored the correlation between name frequencies and political affiliations. These studies laid the groundwork for understanding the potential interplay between personal nomenclature and political preferences, much like how a good dad joke sets the stage for a memorable family dinner.
In "The Name Game" by Jones (2018), the authors find a correlation between certain names and voting behavior, suggesting that individuals with specific names may gravitate towards particular political ideologies. The implications of this finding are both whimsical and thought-provoking, akin to the moment when a dad realizes the power of a well-timed pun.
Adding to this literature, an analysis of the US Social Security Administration data reveals a notable trend in the popularity of the first name Jaylan and its alignment with Republican voting patterns in the state of Colorado. The statistical relationship between these seemingly unrelated variables has piqued our interest and offered an opportunity to infuse some lightheartedness into the realm of political analysis – much like the unexpected joy of stumbling upon a dad joke in a serious conversation.
Furthermore, non-fiction works such as "Freakonomics" by Levitt and Dubner, and "Blink" by Malcolm Gladwell, have shed light on the nuanced factors influencing decision-making processes, providing a framework for examining the intersection of individual attributes and societal trends. This literature serves as a reminder that beneath the surface of seemingly straightforward correlations, there may exist a world of complexity, much like peeling back the layers of an onion (or an onion's captivating layers of flavor, as a dad might say).
Turning to fictional works, the compelling narratives of "The Namesake" by Jhumpa Lahiri and "Big Little Lies" by Liane Moriarty explore the significance of names within the context of personal identity and social dynamics. While these novels may evoke laughter, tears, and moments of contemplation, they also offer a window into the ways in which names can shape individual experiences, much like how a good dad joke shapes the mood of a room.
In conducting this literature review, we have also encountered unusual sources that offer unexpected insights. For instance, the back of shampoo bottles, with their captivating descriptions of ingredients and promises of luscious locks, have inadvertently provided moments of reflection on the unpredictable nature of human curiosity – much like the surprises hidden within the data that we have uncovered in our investigation of the connection between the first name Jaylan and Republican voting patterns in Colorado.
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 Jaylan and Votes for the Republican Presidential candidate in Colorado. 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 1989 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]]
"Jaylan, Votes, and Mitt: An Examination of the Republican Presidential Candidate Popularity in Colorado"
[[ABSTRACT]]
In this study, we delve into the seemingly whimsical yet surprisingly intriguing correlation between the popularity of the first name Jaylan and the votes for the Republican presidential candidate in the beautiful state of Colorado. Utilizing data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we examined the time period from 1989 to 2020, uncovering a correlation coefficient of 0.8941641 and p-value less than 0.01.
Our findings left us positively floored, akin to the reaction of a dad who just read a novel about antigravity. The results suggest that there is a captivating connection between the frequency of the name Jaylan and the voting patterns in the Republican primaries. Our research adds a touch of whimsy to the electoral process and shows that statistical analyses can sometimes draw parallels between unexpected phenomena, much like when a dad finds himself unexpectedly drawn to a dad joke: a phenomenon that defies both logic and reason but brings joy nonetheless.
[[INTRODUCTION]]
Jaylan, as a first name, may not be a household name, but it has certainly left an indelible mark in the diverse tapestry of American nomenclature. Likewise, the electoral landscape of Colorado has often caught the attention of pundits and politicians alike, serving as a barometer for national political trends. In this paper, we seek to unravel the enthralling connection between the popularity of the first name Jaylan and the votes for the Republican presidential candidate in Colorado. It’s as if we’re peeling back the layers of an onion to reveal a delightful, statistically significant surprise – much like when a dad finds an unexpected sale on non-stick pans.
Names often carry cultural connotations, familial traditions, and societal influences. Thus, the correlation between the frequency of the name Jaylan and Republican voting patterns presents an academically captivating puzzle. While the task of untangling this correlation might seem as daunting as a dad being asked to explain the moon landing to a five-year-old, it nonetheless represents an enthralling opportunity to examine the intersection of personal identity and political behavior.
As we embark on this wondrous journey through data analysis, let us not forget to maintain a keen sense of humor – much like a dad who’s busy crafting a pun about electron configuration while binging a science documentary. Our inquiry into this correlation offers a delightful diversion from the standard political analyses, shedding light on the unpredictable ways in which human behavior and statistical trends intersect. Just as a good punchline unexpectedly changes the mood of a conversation, our findings promise to add an element of surprise to the discourse on electoral voting patterns.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To investigate the correlation between the popularity of the first name Jaylan and the votes for the Republican presidential candidate in Colorado, we employed a robust methodology that involved data collection, statistical analyses, and a touch of whimsy. Our research team utilized data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, encompassing the years 1989 to 2020.
First, we combed through the vast expanse of online databases like a dad searching for the perfect dad joke, extracting the frequency of the name Jaylan and the Republican primary voting numbers in Colorado. We then employed rigorous statistical analyses, channeling our inner dad attempting to win a pun competition, to calculate the correlation coefficient and determine the strength and significance of the relationship.
The correlation was calculated using the Pearson correlation coefficient, which measures the strength and direction of the linear relationship between two variables. Our calculations took into account the sheer magnitude of data, much like the magnitude of dad's delight upon finding a new joke.
To verify the robustness of our findings, we also performed a series of sensitivity analyses and control tests. This involved scrutinizing the data to ensure that peculiar outliers didn't skew our results, akin to a dad ensuring that his dad jokes are universally appealing and don't fall flat in any audience.
Moreover, we complemented our quantitative analyses with qualitative insights from the field of sociolinguistics and political science. This added an enriching layer of context to our findings, much like how a dad's storytelling adds depth to a simple bedtime tale.
As with any robust research endeavor, we recognized the importance of maintaining data integrity and consistency. Our meticulous approach to data validation and verification resembled a dad checking and rechecking the groan-worthiness of his puns before sharing them with the family.
Lastly, we embraced transparency and openness, sharing both our methods and data for scrutiny and further exploration. This commitment to openness mirrors a dad proudly showcasing his extensive collection of dad jokes, inviting others to marvel at his wordplay prowess.
Incorporating both quantitative and qualitative approaches, our methodological framework encapsulated the essence of both precision and intrigue, much like a dad seeking to blend factual accuracy with a sprinkle of humor in his everyday interactions.
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 Jaylan and Votes for the Republican Presidential candidate in Colorado. 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 1989 to 2020, you found a correlation 0.8941641, r-squared of 0.7995294, 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]]
"Jaylan, Votes, and Mitt: An Examination of the Republican Presidential Candidate Popularity in Colorado"
[[ABSTRACT]]
In this study, we delve into the seemingly whimsical yet surprisingly intriguing correlation between the popularity of the first name Jaylan and the votes for the Republican presidential candidate in the beautiful state of Colorado. Utilizing data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we examined the time period from 1989 to 2020, uncovering a correlation coefficient of 0.8941641 and p-value less than 0.01.
Our findings left us positively floored, akin to the reaction of a dad who just read a novel about antigravity. The results suggest that there is a captivating connection between the frequency of the name Jaylan and the voting patterns in the Republican primaries. Our research adds a touch of whimsy to the electoral process and shows that statistical analyses can sometimes draw parallels between unexpected phenomena, much like when a dad finds himself unexpectedly drawn to a dad joke: a phenomenon that defies both logic and reason but brings joy nonetheless.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
Jaylan, as a first name, may not be a household name, but it has certainly left an indelible mark in the diverse tapestry of American nomenclature. Likewise, the electoral landscape of Colorado has often caught the attention of pundits and politicians alike, serving as a barometer for national political trends. In this paper, we seek to unravel the enthralling connection between the popularity of the first name Jaylan and the votes for the Republican presidential candidate in Colorado. It’s as if we’re peeling back the layers of an onion to reveal a delightful, statistically significant surprise – much like when a dad finds an unexpected sale on non-stick pans.
Names often carry cultural connotations, familial traditions, and societal influences. Thus, the correlation between the frequency of the name Jaylan and Republican voting patterns presents an academically captivating puzzle. While the task of untangling this correlation might seem as daunting as a dad being asked to explain the moon landing to a five-year-old, it nonetheless represents an enthralling opportunity to examine the intersection of personal identity and political behavior.
As we embark on this wondrous journey through data analysis, let us not forget to maintain a keen sense of humor – much like a dad who’s busy crafting a pun about electron configuration while binging a science documentary. Our inquiry into this correlation offers a delightful diversion from the standard political analyses, shedding light on the unpredictable ways in which human behavior and statistical trends intersect. Just as a good punchline unexpectedly changes the mood of a conversation, our findings promise to add an element of surprise to the discourse on electoral voting patterns.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The results of the statistical analysis revealed a remarkably strong correlation between the popularity of the first name Jaylan and the votes for the Republican presidential candidate in Colorado. The correlation coefficient of 0.8941641 and r-squared of 0.7995294 indicate a robust relationship between these seemingly unrelated variables. The p-value of less than 0.01 further confirms the statistical significance of this correlation, leaving little room for doubt regarding the validity of the findings.
In other words, the evidence suggests that the popularity of the name Jaylan is positively associated with an inclination towards voting for the Republican presidential candidate in the state of Colorado. It's as if the name itself carries a certain political persuasiveness, akin to a dad joke that never fails to elicit an involuntary chuckle from even the most stoic of individuals.
The scatterplot (Fig. 1) visually depicts the pronounced correlation between the frequency of the name Jaylan and the Republican votes in Colorado, further reinforcing the strength of this unexpected association. It's a bit like finding the perfect punchline to a joke you didn't even know you were setting up – surprising, yet undeniably satisfying.
These findings add an intriguing layer of nuance to the study of electoral behavior, demonstrating that sometimes, even the most unlikely variables can exhibit a compelling relationship. Just as a dad is always ready with a well-timed pun, our research reveals the enigmatic interplay between personal nomenclature and political preferences, offering a lighthearted yet thought-provoking perspective on the electoral dynamics of Colorado.
In summary, our investigation into the correlation between the popularity of the first name Jaylan and the votes for the Republican presidential candidate in Colorado has yielded statistically significant results, highlighting an unexpected yet captivating association between these two distinct phenomena. This revelation serves as a valuable reminder that in the realm of statistical analysis, as in life, unexpected connections can often bring about the most fascinating insights.
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 Jaylan and Votes for the Republican Presidential candidate in Colorado. 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]]
"Jaylan, Votes, and Mitt: An Examination of the Republican Presidential Candidate Popularity in Colorado"
[[ABSTRACT]]
In this study, we delve into the seemingly whimsical yet surprisingly intriguing correlation between the popularity of the first name Jaylan and the votes for the Republican presidential candidate in the beautiful state of Colorado. Utilizing data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we examined the time period from 1989 to 2020, uncovering a correlation coefficient of 0.8941641 and p-value less than 0.01.
Our findings left us positively floored, akin to the reaction of a dad who just read a novel about antigravity. The results suggest that there is a captivating connection between the frequency of the name Jaylan and the voting patterns in the Republican primaries. Our research adds a touch of whimsy to the electoral process and shows that statistical analyses can sometimes draw parallels between unexpected phenomena, much like when a dad finds himself unexpectedly drawn to a dad joke: a phenomenon that defies both logic and reason but brings joy nonetheless.
[[LITERATURE REVIEW]]
The study of first name popularity and its potential influence on voting behavior has been a subject of interest for researchers across multiple disciplines. Smith (2010) delved into the cultural significance of names and their impact on social interactions, while Doe (2015) explored the correlation between name frequencies and political affiliations. These studies laid the groundwork for understanding the potential interplay between personal nomenclature and political preferences, much like how a good dad joke sets the stage for a memorable family dinner.
In "The Name Game" by Jones (2018), the authors find a correlation between certain names and voting behavior, suggesting that individuals with specific names may gravitate towards particular political ideologies. The implications of this finding are both whimsical and thought-provoking, akin to the moment when a dad realizes the power of a well-timed pun.
Adding to this literature, an analysis of the US Social Security Administration data reveals a notable trend in the popularity of the first name Jaylan and its alignment with Republican voting patterns in the state of Colorado. The statistical relationship between these seemingly unrelated variables has piqued our interest and offered an opportunity to infuse some lightheartedness into the realm of political analysis – much like the unexpected joy of stumbling upon a dad joke in a serious conversation.
Furthermore, non-fiction works such as "Freakonomics" by Levitt and Dubner, and "Blink" by Malcolm Gladwell, have shed light on the nuanced factors influencing decision-making processes, providing a framework for examining the intersection of individual attributes and societal trends. This literature serves as a reminder that beneath the surface of seemingly straightforward correlations, there may exist a world of complexity, much like peeling back the layers of an onion (or an onion's captivating layers of flavor, as a dad might say).
Turning to fictional works, the compelling narratives of "The Namesake" by Jhumpa Lahiri and "Big Little Lies" by Liane Moriarty explore the significance of names within the context of personal identity and social dynamics. While these novels may evoke laughter, tears, and moments of contemplation, they also offer a window into the ways in which names can shape individual experiences, much like how a good dad joke shapes the mood of a room.
In conducting this literature review, we have also encountered unusual sources that offer unexpected insights. For instance, the back of shampoo bottles, with their captivating descriptions of ingredients and promises of luscious locks, have inadvertently provided moments of reflection on the unpredictable nature of human curiosity – much like the surprises hidden within the data that we have uncovered in our investigation of the connection between the first name Jaylan and Republican voting patterns in Colorado.
[[RESULTS]]
The results of the statistical analysis revealed a remarkably strong correlation between the popularity of the first name Jaylan and the votes for the Republican presidential candidate in Colorado. The correlation coefficient of 0.8941641 and r-squared of 0.7995294 indicate a robust relationship between these seemingly unrelated variables. The p-value of less than 0.01 further confirms the statistical significance of this correlation, leaving little room for doubt regarding the validity of the findings.
In other words, the evidence suggests that the popularity of the name Jaylan is positively associated with an inclination towards voting for the Republican presidential candidate in the state of Colorado. It's as if the name itself carries a certain political persuasiveness, akin to a dad joke that never fails to elicit an involuntary chuckle from even the most stoic of individuals.
The scatterplot (Fig. 1) visually depicts the pronounced correlation between the frequency of the name Jaylan and the Republican votes in Colorado, further reinforcing the strength of this unexpected association. It's a bit like finding the perfect punchline to a joke you didn't even know you were setting up – surprising, yet undeniably satisfying.
These findings add an intriguing layer of nuance to the study of electoral behavior, demonstrating that sometimes, even the most unlikely variables can exhibit a compelling relationship. Just as a dad is always ready with a well-timed pun, our research reveals the enigmatic interplay between personal nomenclature and political preferences, offering a lighthearted yet thought-provoking perspective on the electoral dynamics of Colorado.
In summary, our investigation into the correlation between the popularity of the first name Jaylan and the votes for the Republican presidential candidate in Colorado has yielded statistically significant results, highlighting an unexpected yet captivating association between these two distinct phenomena. This revelation serves as a valuable reminder that in the realm of statistical analysis, as in life, unexpected connections can often bring about the most fascinating insights.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The results of our study support and extend prior research on the influence of personal nomenclature on political preferences. While the correlation between the popularity of the first name Jaylan and votes for the Republican presidential candidate in Colorado may initially seem as unconventional as a dad joke at a scientific conference, the statistical rigor of our findings underscores the significance of this association.
Our study reaffirms the implications that certain names may carry in shaping individual political inclinations, a notion akin to the enduring appeal of a well-crafted dad joke: seemingly unrelated elements can converge to produce a discernible outcome. Jones (2018) previously acknowledged the potential for specific names to attract individuals towards particular political ideologies, and our findings provide empirical evidence of this phenomenon. The robust correlation coefficient and p-value serve as a strong testament to the informative value of this unexpected connection, much like a well-timed dad joke in a serious conversation can illuminate the atmosphere.
Furthermore, the visual representation of the relationship between the frequency of the name Jaylan and the Republican votes in Colorado, as depicted in the scatterplot (Fig. 1), reinforces the strength and clarity of our findings. This visualization serves as a compelling reminder that even in the stark world of statistical analysis, there can be room for unexpected humor and delight, much like a tasteful dad joke breaking the monotony of a serious discussion.
Our study adds a distinctive touch to the growing body of literature on the interplay between personal attributes and political behavior. While our findings may initially appear as surprising as discovering a forgotten dad joke hidden in the footnotes of a scholarly article, they serve as an essential contribution to the understanding of the intricate intricacies of electoral dynamics. In essence, our research reiterates that beneath the surface of seemingly unrelated variables, there may lie captivating connections that enrich our comprehension of societal phenomena, much like how a well-timed dad joke enriches the ambiance of a family gathering.
In conclusion, our study not only supports and extends prior research on the influence of personal nomenclature on political preferences, but it also underscores the capacity of statistical analyses to reveal intriguing connections in seemingly disparate domains. This unexpected yet robust correlation between the popularity of the first name Jaylan and Republican voting patterns in Colorado serves as a lighthearted yet undeniable testament to the enigmatic interplay between individual attributes and electoral behavior. Just as a dad unleashes an unexpected pun, this correlation unexpectedly delights and leaves a lasting impression on our understanding of political dynamics.
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 Jaylan and Votes for the Republican Presidential candidate in Colorado. 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]]
"Jaylan, Votes, and Mitt: An Examination of the Republican Presidential Candidate Popularity in Colorado"
[[ABSTRACT]]
In this study, we delve into the seemingly whimsical yet surprisingly intriguing correlation between the popularity of the first name Jaylan and the votes for the Republican presidential candidate in the beautiful state of Colorado. Utilizing data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we examined the time period from 1989 to 2020, uncovering a correlation coefficient of 0.8941641 and p-value less than 0.01.
Our findings left us positively floored, akin to the reaction of a dad who just read a novel about antigravity. The results suggest that there is a captivating connection between the frequency of the name Jaylan and the voting patterns in the Republican primaries. Our research adds a touch of whimsy to the electoral process and shows that statistical analyses can sometimes draw parallels between unexpected phenomena, much like when a dad finds himself unexpectedly drawn to a dad joke: a phenomenon that defies both logic and reason but brings joy nonetheless.
[[INTRDUCTION]]
Jaylan, as a first name, may not be a household name, but it has certainly left an indelible mark in the diverse tapestry of American nomenclature. Likewise, the electoral landscape of Colorado has often caught the attention of pundits and politicians alike, serving as a barometer for national political trends. In this paper, we seek to unravel the enthralling connection between the popularity of the first name Jaylan and the votes for the Republican presidential candidate in Colorado. It’s as if we’re peeling back the layers of an onion to reveal a delightful, statistically significant surprise – much like when a dad finds an unexpected sale on non-stick pans.
Names often carry cultural connotations, familial traditions, and societal influences. Thus, the correlation between the frequency of the name Jaylan and Republican voting patterns presents an academically captivating puzzle. While the task of untangling this correlation might seem as daunting as a dad being asked to explain the moon landing to a five-year-old, it nonetheless represents an enthralling opportunity to examine the intersection of personal identity and political behavior.
As we embark on this wondrous journey through data analysis, let us not forget to maintain a keen sense of humor – much like a dad who’s busy crafting a pun about electron configuration while binging a science documentary. Our inquiry into this correlation offers a delightful diversion from the standard political analyses, shedding light on the unpredictable ways in which human behavior and statistical trends intersect. Just as a good punchline unexpectedly changes the mood of a conversation, our findings promise to add an element of surprise to the discourse on electoral voting patterns.
[[RESULTS]]
The results of the statistical analysis revealed a remarkably strong correlation between the popularity of the first name Jaylan and the votes for the Republican presidential candidate in Colorado. The correlation coefficient of 0.8941641 and r-squared of 0.7995294 indicate a robust relationship between these seemingly unrelated variables. The p-value of less than 0.01 further confirms the statistical significance of this correlation, leaving little room for doubt regarding the validity of the findings.
In other words, the evidence suggests that the popularity of the name Jaylan is positively associated with an inclination towards voting for the Republican presidential candidate in the state of Colorado. It's as if the name itself carries a certain political persuasiveness, akin to a dad joke that never fails to elicit an involuntary chuckle from even the most stoic of individuals.
The scatterplot (Fig. 1) visually depicts the pronounced correlation between the frequency of the name Jaylan and the Republican votes in Colorado, further reinforcing the strength of this unexpected association. It's a bit like finding the perfect punchline to a joke you didn't even know you were setting up – surprising, yet undeniably satisfying.
These findings add an intriguing layer of nuance to the study of electoral behavior, demonstrating that sometimes, even the most unlikely variables can exhibit a compelling relationship. Just as a dad is always ready with a well-timed pun, our research reveals the enigmatic interplay between personal nomenclature and political preferences, offering a lighthearted yet thought-provoking perspective on the electoral dynamics of Colorado.
In summary, our investigation into the correlation between the popularity of the first name Jaylan and the votes for the Republican presidential candidate in Colorado has yielded statistically significant results, highlighting an unexpected yet captivating association between these two distinct phenomena. This revelation serves as a valuable reminder that in the realm of statistical analysis, as in life, unexpected connections can often bring about the most fascinating insights.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, our research has illuminated a fascinating correlation between the popularity of the name Jaylan and the votes for the Republican presidential candidate in Colorado. The robust correlation coefficient and statistical significance of the findings point to an intriguing relationship that defies conventional expectations, much like a dad who excels at making puns.
These results offer a delightful and unexpected twist in the realm of electoral behavior, revealing that even seemingly unrelated variables can exhibit compelling connections. It's akin to uncovering a hidden punchline in a conversation – a pleasant surprise that adds depth and nuance to our understanding of political preferences.
In light of these findings, it seems that the name Jaylan carries a certain political sway, much like a dad joke that unfailingly garners a chuckle from any audience. It appears that in the colorful tapestry of American nomenclature, Jaylan stands out not only as a name but also as a subtle influencer of political inclinations.
As for the future direction of research in this area, we submit that no further investigation is warranted. The correlation between the popularity of the name Jaylan and Republican voting patterns in Colorado has been firmly established, leaving little room for doubt or additional exploration. Just as a well-crafted dad joke needs no further explanation, our findings stand as a testament to the captivating intersection of personal identity and electoral dynamics.
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 Jaylan, Votes, and Mitt: An Examination of the Republican Presidential Candidate Popularity in Colorado. Respond only with the name of a fictional academic journal.
ChatGPT:
Journal of Political Dynamics and Public Opinion
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 Jaylan, Votes, and Mitt: An Examination of the Republican Presidential Candidate Popularity in Colorado. Respond only with the name of a fictional organization.
ChatGPT:
The Institute for Progressive Political 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 Jaylan, Votes, and Mitt: An Examination of the Republican Presidential Candidate Popularity in Colorado with an abstract of In this study, we delve into the seemingly whimsical yet surprisingly intriguing correlation between the popularity of the first name Jaylan and the votes for the Republican presidential candidate in the beautiful state of Colorado. Utilizing data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we examined the time period from 1989 to 2020, uncovering a correlation coefficient of 0.8941641 and p-value less than 0.01.
Our findings left us positively floored, akin to the reaction of a dad who just read a novel about antigravity. The results suggest that there is a captivating connection between the frequency of the name Jaylan and the voting patterns in the Republican primaries. Our research adds a touch of whimsy to the electoral process and shows that statistical analyses can sometimes draw parallels between unexpected phenomena, much like when a dad finds himself unexpectedly drawn to a dad joke: a phenomenon that defies both logic and reason but brings joy nonetheless.
ChatGPT:
Jaylan, Republican presidential candidate, popularity, Colorado, correlation, US Social Security Administration, MIT Election Data and Science Lab, Harvard Dataverse, voting patterns, statistical analysis
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
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Data details
Popularity of the first name JaylanDetailed data title: Babies of all sexes born in the US named Jaylan
Source: US Social Security Administration
See what else correlates with Popularity of the first name Jaylan
Votes for the Republican Presidential candidate in Colorado
Detailed data title: Percentage of all votes cast for the Republican Presidential candidate in Colorado
Source: MIT Election Data and Science Lab, Harvard Dataverse
See what else correlates with Votes for the Republican Presidential candidate in Colorado
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 = 0.7995294 (Coefficient of determination)
This means 80% of the change in the one variable (i.e., Votes for the Republican Presidential candidate in Colorado) is predictable based on the change in the other (i.e., Popularity of the first name Jaylan) over the 8 years from 1989 through 2020.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.0027. 0.0027334609768644813000000000
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 0.89 in 0.27% of random cases. Said differently, if you correlated 366 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.
[ 0.51, 0.98 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.
This one is a bit more complciated than the other calculations, but I include it because many people have been pushing for confidence intervals instead of p-value calculations (for example: NEJM. However, if you are dredging data, you can reliably find yourself in the 5%. That's my goal!
All values for the years included above: If I were being very sneaky, I could trim years from the beginning or end of the datasets to increase the correlation on some pairs of variables. I don't do that because there are already plenty of correlations in my database without monkeying with the years.
Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
| 1992 | 1996 | 2000 | 2004 | 2008 | 2012 | 2016 | 2020 | |
| Popularity of the first name Jaylan (Babies born) | 24 | 162 | 344 | 319 | 244 | 130 | 80 | 64 |
| Votes for the Republican Presidential candidate in Colorado (Percentage of votes) | 35.8691 | 45.7965 | 50.7502 | 51.7111 | 44.7075 | 46.1271 | 43.2514 | 41.6041 |
Why this works
- Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
- Lack of causal connection: There is probably
Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied. - Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple
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. - 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.
- 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([24,162,344,319,244,130,80,64,])
array_2 = np.array([35.8691,45.7965,50.7502,51.7111,44.7075,46.1271,43.2514,41.6041,])
array_1_name = "Popularity of the first name Jaylan"
array_2_name = "Votes for the Republican Presidential candidate in Colorado"
# 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:
- High resolution line chart
The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.
If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.
Alternatively you can use a tool like Inkscape. - High resolution line chart, optimized for mobile
- Alternative high resolution line chart
- Scatterplot
- Portable line chart (png)
- Portable line chart (png), optimized for mobile
- Line chart for only Popularity of the first name Jaylan
- Line chart for only Votes for the Republican Presidential candidate in Colorado
- AI-generated correlation image
- The spurious research paper: Jaylan, Votes, and Mitt: An Examination of the Republican Presidential Candidate Popularity in Colorado
Big thanks for reviewing!
Correlation ID: 5040 · Black Variable ID: 3921 · Red Variable ID: 26066
