Download png, svg
AI explanation
The name Paxton exudes an aura of independence and nonconformity. It's like the name itself comes with a tiny flag and a copy of Atlas Shrugged. People hear the name Paxton and suddenly they're all about personal freedom and limited government. It's as if there's a subconscious association with Pax, the Latin word for peace, and non-interventionist foreign policy. Maybe it's because Paxton sounds like a renegade cowboy who only answers to himself. Or perhaps there's a secret society of Paxtons covertly promoting individual liberties. Clearly, the correlation between the name Paxton and Libertarian votes in Wisconsin is no coincidence. It's like a peaceful rebellion led by a legion of Paxton-empowered voters. Or maybe it's just a statistical fluke. Who's to say?Model: dalle-3
Prompt: To create a visually engaging image using DALL-E 3, envision a meme style scene: Amidst the rolling fields and blue skies of a small Wisconsin town, a wooden sign proudly proclaims "Paxton County Fair." The fairgrounds are bustling with activity as folks line up to cast their ballots for the upcoming senatorial election, while a group of people wearing shirts emblazoned with the name "Paxton" gather under a makeshift tent, engaging in passionate conversations about individual freedoms and limited government. The aroma of freshly baked apple pies wafts through the air, and a band of musicians sings songs of rebellion and self-reliance. Create a simple, visually striking depiction that captures the spirited gathering and the connection between the name Paxton and the Libertarian votes in Wisconsin. 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 Paxton and Libertarian votes for Senators in Wisconsin. Given these, which of the following image style descriptions seems most appropriate? Pick the one that seems to be related to one of the variables at hand. Please respond with only one of the following potential descriptions: a meme Whimsical illustration An image that looks like it is a scene from 'Star Wars' Low poly Macabre
ChatGPT: a meme
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 Paxton and Libertarian votes for Senators in Wisconsin, in the following situation: The name Paxton exudes an aura of independence and nonconformity. It's like the name itself comes with a tiny flag and a copy of Atlas Shrugged. People hear the name Paxton and suddenly they're all about personal freedom and limited government. It's as if there's a subconscious association with Pax, the Latin word for peace, and non-interventionist foreign policy. Maybe it's because Paxton sounds like a renegade cowboy who only answers to himself. Or perhaps there's a secret society of Paxtons covertly promoting individual liberties. Clearly, the correlation between the name Paxton and Libertarian votes in Wisconsin is no coincidence. It's like a peaceful rebellion led by a legion of Paxton-empowered voters. Or maybe it's just a statistical fluke. Who's to say?. Keep the description simple.
ChatGPT: In a small Wisconsin town, amidst rolling fields and blue skies, a wooden sign proudly proclaims the Paxton County Fair. The fairgrounds are bustling with activity as folks line up to cast their ballots for the upcoming senatorial election. A group of people wearing shirts emblazoned with the name “Paxton” gather under a makeshift tent, engaging in passionate conversations about individual freedoms and limited government. The aroma of freshly baked apple pies wafts through the air as a band of musicians sings songs of rebellion and self-reliance. It's clear that the connection between the name Paxton and the Libertarian votes in Wisconsin is alive and well in this spirited gathering.
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 meme ] and depicting this scene: In a small Wisconsin town, amidst rolling fields and blue skies, a wooden sign proudly proclaims the Paxton County Fair. The fairgrounds are bustling with activity as folks line up to cast their ballots for the upcoming senatorial election. A group of people wearing shirts emblazoned with the name “Paxton” gather under a makeshift tent, engaging in passionate conversations about individual freedoms and limited government. The aroma of freshly baked apple pies wafts through the air as a band of musicians sings songs of rebellion and self-reliance. It's clear that the connection between the name Paxton and the Libertarian votes in Wisconsin is alive and well in this spirited gathering. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: To create a visually engaging image using DALL-E 3, envision a meme style scene: Amidst the rolling fields and blue skies of a small Wisconsin town, a wooden sign proudly proclaims "Paxton County Fair." The fairgrounds are bustling with activity as folks line up to cast their ballots for the upcoming senatorial election, while a group of people wearing shirts emblazoned with the name "Paxton" gather under a makeshift tent, engaging in passionate conversations about individual freedoms and limited government. The aroma of freshly baked apple pies wafts through the air, and a band of musicians sings songs of rebellion and self-reliance. Create a simple, visually striking depiction that captures the spirited gathering and the connection between the name Paxton and the Libertarian votes in Wisconsin.
*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 an increase in Popularity of the first name Paxton caused Libertarian votes for Senators in Wisconsin to increase.\Make it sound serious until the end.
AI academic paper
The Paxton Paradox: A Statistical Connection between First Name Popularity and Libertarian Votes for Senators in Wisconsin The Journal of Quirky Quantitative Research Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics 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 Paxton and Libertarian votes for Senators in Wisconsin. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Include a pun 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 0.9676543 and p < 0.01 for 1980 to 2016.
Please respond in this format (replace "Lorem ipsum dolor sit" with your title and abstract)
[[TITLE]]
Lorem ipsum dolor sit
[[ABSTRACT]]
Lorem ipsum dolor sit
ChatGPT:
[[TITLE]]
The Paxton Paradox: A Statistical Connection between First Name Popularity and Libertarian Votes for Senators in Wisconsin
[[ABSTRACT]]
This study investigates the statistical relationship between the popularity of the first name Paxton and the trajectory of Libertarian votes for Senators in the state of Wisconsin. By using data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we endeavored to shed light on this curious matter. Our findings illuminate a remarkable correlation coefficient of 0.9676543 and a significance level of p < 0.01 from the years 1980 to 2016. This research not only uncovers a striking statistical link but also delves into the intriguing world of names and voting patterns, providing a droll yet enlightening perspective on the intersection of nomenclature and political leanings. The Paxton Paradox reveals an unexpected juxtaposition of seemingly unrelated phenomena, and invites scholarly contemplation of the whimsical quirks of societal dynamics.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics 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 Paxton and Libertarian votes for Senators in Wisconsin. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Here is the title and abstract of the paper:
[[TITLE]]
The Paxton Paradox: A Statistical Connection between First Name Popularity and Libertarian Votes for Senators in Wisconsin
[[ABSTRACT]]
This study investigates the statistical relationship between the popularity of the first name Paxton and the trajectory of Libertarian votes for Senators in the state of Wisconsin. By using data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we endeavored to shed light on this curious matter. Our findings illuminate a remarkable correlation coefficient of 0.9676543 and a significance level of p < 0.01 from the years 1980 to 2016. This research not only uncovers a striking statistical link but also delves into the intriguing world of names and voting patterns, providing a droll yet enlightening perspective on the intersection of nomenclature and political leanings. The Paxton Paradox reveals an unexpected juxtaposition of seemingly unrelated phenomena, and invites scholarly contemplation of the whimsical quirks of societal dynamics.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
INTRODUCTION
The relationship between names and behavior has long been a subject of both fascination and skepticism. Names have been associated with various social, economic, and cultural factors, often leading to curious conjectures about their potential influence on individual choices and preferences. Furthermore, the field of political science has continuously sought to unravel the complexities of voter behavior, exploring the multifaceted determinants that shape electoral outcomes. While these two domains may seem disparate, their convergence in the context of the connection between the popularity of the first name Paxton and Libertarian votes for Senators in Wisconsin unveils an intriguing and unexpected correlation.
As the abstract hinted, this study investigates a compelling statistic anomaly that implicates the popularity of the name Paxton and the trajectory of Libertarian votes for Senators in the state of Wisconsin, prompting a closer examination of this seemingly whimsical relationship. The choice of Wisconsin as the geographical focus stems from its electoral significance and the distinctive patterns observed in political preferences within the state. A combination of data sources, including the US Social Security Administration for historical name popularity and the MIT Election Data and Science Lab, Harvard Dataverse for election results, furnishes an extensive dataset for meticulous analysis.
In order to address the arcane nature of this statistical enigma, the research employs rigorous statistical methodologies to underpin its conclusions. The use of correlation coefficient and significance level allows for a robust assessment of the connection between the trends in first name popularity and the electoral proclivities of the populace. Though it may appear whimsical at first glance, this study endeavors to adopt a systematic and scholarly approach, grounded in the principles of statistical inquiry and empirical analysis.
Furthermore, the implications of this empirical conundrum extend beyond mere statistical curiosity, delving into the broader realms of sociological and psychological dynamics. The unexpected juxtaposition of the seemingly incongruous phenomena of nomenclature trends and political leanings not only captures the imagination but also invites scholarly contemplation of the whimsical quirks of societal dynamics. This endeavor seeks not only to entertain but also to enlighten, drawing attention to the unexpected and illuminating perceptions that emerge from the intersection of seemingly unrelated dimensions of human experience.
In the pursuit of understanding the Paxton Paradox, this research blends statistical rigor with an exploration of the intersection of names and voting patterns, offering a droll yet enlightening perspective on the entwined realms of nomenclature and political inclinations. As we embark on this scholarly endeavor, it is hoped that the findings presented will shed light on this curious matter and prompt further investigation into the peculiar intersections of nomenclature and political affiliations.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics 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 Paxton and Libertarian votes for Senators in Wisconsin. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, 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 the backs of shampoo bottles.
Here is the title and abstract of the paper:
[[TITLE]]
The Paxton Paradox: A Statistical Connection between First Name Popularity and Libertarian Votes for Senators in Wisconsin
[[ABSTRACT]]
This study investigates the statistical relationship between the popularity of the first name Paxton and the trajectory of Libertarian votes for Senators in the state of Wisconsin. By using data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we endeavored to shed light on this curious matter. Our findings illuminate a remarkable correlation coefficient of 0.9676543 and a significance level of p < 0.01 from the years 1980 to 2016. This research not only uncovers a striking statistical link but also delves into the intriguing world of names and voting patterns, providing a droll yet enlightening perspective on the intersection of nomenclature and political leanings. The Paxton Paradox reveals an unexpected juxtaposition of seemingly unrelated phenomena, and invites scholarly contemplation of the whimsical quirks of societal dynamics.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
INTRODUCTION
The relationship between names and behavior has long been a subject of both fascination and skepticism. Names have been associated with various social, economic, and cultural factors, often leading to curious conjectures about their potential influence on individual choices and preferences. Furthermore, the field of political science has continuously sought to unravel the complexities of voter behavior, exploring the multifaceted determinants that shape electoral outcomes. While these two domains may seem disparate, their convergence in the context of the connection between the popularity of the first name Paxton and Libertarian votes for Senators in Wisconsin unveils an intriguing and unexpected correlation.
As the abstract hinted, this study investigates a compelling statistic anomaly that implicates the popularity of the name Paxton and the trajectory of Libertarian votes for Senators in the state of Wisconsin, prompting a closer examination of this seemingly whimsical relationship. The choice of Wisconsin as the geographical focus stems from its electoral significance and the distinctive patterns observed in political preferences within the state. A combination of data sources, including the US Social Security Administration for historical name popularity and the MIT Election Data and Science Lab, Harvard Dataverse for election results, furnishes an extensive dataset for meticulous analysis.
In order to address the arcane nature of this statistical enigma, the research employs rigorous statistical methodologies to underpin its conclusions. The use of correlation coefficient and significance level allows for a robust assessment of the connection between the trends in first name popularity and the electoral proclivities of the populace. Though it may appear whimsical at first glance, this study endeavors to adopt a systematic and scholarly approach, grounded in the principles of statistical inquiry and empirical analysis.
Furthermore, the implications of this empirical conundrum extend beyond mere statistical curiosity, delving into the broader realms of sociological and psychological dynamics. The unexpected juxtaposition of the seemingly incongruous phenomena of nomenclature trends and political leanings not only captures the imagination but also invites scholarly contemplation of the whimsical quirks of societal dynamics. This endeavor seeks not only to entertain but also to enlighten, drawing attention to the unexpected and illuminating perceptions that emerge from the intersection of seemingly unrelated dimensions of human experience.
In the pursuit of understanding the Paxton Paradox, this research blends statistical rigor with an exploration of the intersection of names and voting patterns, offering a droll yet enlightening perspective on the entwined realms of nomenclature and political inclinations. As we embark on this scholarly endeavor, it is hoped that the findings presented will shed light on this curious matter and prompt further investigation into the peculiar intersections of nomenclature and political affiliations.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
The study of names and their potential influence on societal phenomena has garnered scholarly interest for decades. Authors such as Smith, Doe, and Jones have delved into the cultural, psychological, and even economic implications of nomenclature trends, offering insightful perspectives on the intricate relationship between names and human behavior. In "Name Dynamics and Societal Shifts," Smith examines the correlations between name popularity and social dynamics, shedding light on the multifaceted influences that names exert on individual and collective identities. Similarly, Doe's work in "The Nomenclature Nexus" explores the psychological nuances of names, unraveling the intricate web of associations and perceptions that are intertwined with specific appellations. Jones' research in "The Economics of Names" takes a quantitative approach, investigating the economic implications of name preferences and their potential impacts on consumer behavior and market trends.
The realm of political science has long been preoccupied with deciphering the intricate tapestry of voter behavior, employing rigorous methodologies to analyze the multifaceted determinants that shape electoral outcomes. Within this domain, the intersection of names and political affiliations has been a relatively uncharted territory. However, a notable exception is found in "Voting Patterns and Nomenclature" by Brown et al., which examines the potential correlations between specific names and political leanings at the individual level, offering preliminary insights into the intriguing interplay between nomenclature and voting behavior.
Moving beyond the confines of academic literature, a diverse array of non-fiction works has also explored the societal and cultural connotations of names. In "Freakonomics: A Rogue Economist Explores the Hidden Side of Everything," Levitt and Dubner probe into unconventional phenomena, offering thought-provoking perspectives on the unexpected connections that underpin human behavior and societal dynamics. Similarly, Gladwell's "Outliers: The Story of Success" delves into the idiosyncrasies that shape human achievement and societal paradigms, touching upon the subtle yet influential role of names in the larger tapestry of individual and collective destinies.
Furthermore, the fictional realm has not been immune to the allure of exploring the enigmatic connection between names and societal phenomena. Works such as "The Name of the Rose" by Eco and "Name of the Wind" by Rothfuss weave compelling narratives that intertwine the subtle powers of nomenclature with the intricate tapestries of human experience, offering allegorical reflections on the whimsical yet profound impacts of names on the human psyche.
Venturing into uncharted territories, the authors resorted to unconventional sources in pursuit of a comprehensive literature review. From perusing the back covers of shampoo bottles to wandering through the whimsical realms of children's literature, the exploration of nomenclature and its potential influences has traversed unexpected avenues, revealing the playful and offbeat dimensions of the Paxton Paradox.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics 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 Paxton and Libertarian votes for Senators in Wisconsin. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Your research team collected data from all across the internet, but mostly just used information from US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse . You used data from 1980 to 2016
Make up the research methods you don't know. Make them a bit goofy and convoluted.
Here is the title, abstract, and introduction of the paper:
[[TITLE]]
The Paxton Paradox: A Statistical Connection between First Name Popularity and Libertarian Votes for Senators in Wisconsin
[[ABSTRACT]]
This study investigates the statistical relationship between the popularity of the first name Paxton and the trajectory of Libertarian votes for Senators in the state of Wisconsin. By using data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we endeavored to shed light on this curious matter. Our findings illuminate a remarkable correlation coefficient of 0.9676543 and a significance level of p < 0.01 from the years 1980 to 2016. This research not only uncovers a striking statistical link but also delves into the intriguing world of names and voting patterns, providing a droll yet enlightening perspective on the intersection of nomenclature and political leanings. The Paxton Paradox reveals an unexpected juxtaposition of seemingly unrelated phenomena, and invites scholarly contemplation of the whimsical quirks of societal dynamics.
[[INTRODUCTION]]
INTRODUCTION
The relationship between names and behavior has long been a subject of both fascination and skepticism. Names have been associated with various social, economic, and cultural factors, often leading to curious conjectures about their potential influence on individual choices and preferences. Furthermore, the field of political science has continuously sought to unravel the complexities of voter behavior, exploring the multifaceted determinants that shape electoral outcomes. While these two domains may seem disparate, their convergence in the context of the connection between the popularity of the first name Paxton and Libertarian votes for Senators in Wisconsin unveils an intriguing and unexpected correlation.
As the abstract hinted, this study investigates a compelling statistic anomaly that implicates the popularity of the name Paxton and the trajectory of Libertarian votes for Senators in the state of Wisconsin, prompting a closer examination of this seemingly whimsical relationship. The choice of Wisconsin as the geographical focus stems from its electoral significance and the distinctive patterns observed in political preferences within the state. A combination of data sources, including the US Social Security Administration for historical name popularity and the MIT Election Data and Science Lab, Harvard Dataverse for election results, furnishes an extensive dataset for meticulous analysis.
In order to address the arcane nature of this statistical enigma, the research employs rigorous statistical methodologies to underpin its conclusions. The use of correlation coefficient and significance level allows for a robust assessment of the connection between the trends in first name popularity and the electoral proclivities of the populace. Though it may appear whimsical at first glance, this study endeavors to adopt a systematic and scholarly approach, grounded in the principles of statistical inquiry and empirical analysis.
Furthermore, the implications of this empirical conundrum extend beyond mere statistical curiosity, delving into the broader realms of sociological and psychological dynamics. The unexpected juxtaposition of the seemingly incongruous phenomena of nomenclature trends and political leanings not only captures the imagination but also invites scholarly contemplation of the whimsical quirks of societal dynamics. This endeavor seeks not only to entertain but also to enlighten, drawing attention to the unexpected and illuminating perceptions that emerge from the intersection of seemingly unrelated dimensions of human experience.
In the pursuit of understanding the Paxton Paradox, this research blends statistical rigor with an exploration of the intersection of names and voting patterns, offering a droll yet enlightening perspective on the entwined realms of nomenclature and political inclinations. As we embark on this scholarly endeavor, it is hoped that the findings presented will shed light on this curious matter and prompt further investigation into the peculiar intersections of nomenclature and political affiliations.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
Data Collection:
The investigation into the Paxton Paradox culminated in the amalgamation of pertinent data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse. The US Social Security Administration provided comprehensive historical records of the popularity of the first name Paxton, spanning the years 1980 to 2016. Similarly, the MIT Election Data and Science Lab, Harvard Dataverse furnished detailed electoral outcomes, specifically Libertarian votes for Senators in the state of Wisconsin over the same time period.
Measurement and Analysis:
To quantify the statistical relationship between the popularity of the first name Paxton and the trajectory of Libertarian votes for Senators in Wisconsin, rigorous statistical analyses were employed. The first step entailed computing the correlation coefficient between the two variables, serving as a foundational measure of their association. Following this, the significance level was determined to ascertain the robustness of the observed correlation. These analyses were conducted utilizing state-of-the-art statistical software, ensuring the accuracy and reliability of the results.
Model Specification:
In order to control for potential confounding variables and spurious correlations, a series of multivariate regression models were generated. These models aimed to disentangle the unique contribution of the popularity of the first name Paxton to the variation in Libertarian votes for Senators in Wisconsin, while accounting for other relevant socio-political factors. By employing a comprehensive and meticulous modeling approach, the study sought to elucidate the distinct impact of the Paxton phenomenon amidst the intricate tapestry of electoral dynamics.
Sensitivity Analysis:
Recognizing the intricate interplay of myriad factors within the electoral landscape, a sensitivity analysis was undertaken to assess the robustness of the observed statistical relationship. Various permutations and combinations of the data were explored, and the results were scrutinized under differing scenarios to ascertain the consistency and stability of the findings. This rigorous process ensured that the observed association between the popularity of the name Paxton and Libertarian votes for Senators in Wisconsin was not contingent upon idiosyncratic data configurations.
Limitations:
While the methodologies employed in this study aimed to meticulously untangle the statistical conundrum of the Paxton Paradox, it is essential to acknowledge certain limitations. The reliance on historical data poses inherent constraints on the generalizability of the findings to contemporary electoral landscapes. Moreover, the intricacies of individual decision-making processes and the encompassing societal trends may engender unaccounted complexities in the observed statistical relationship.
In summary, the methodology adopted for this investigation melded robust statistical analyses with a comprehensive exploration of the intersection of names and voting patterns. The rigorous application of advanced statistical techniques aimed to demystify the enigmatic correlation between the popularity of the first name Paxton and Libertarian votes for Senators in Wisconsin, illuminating a whimsical yet intriguing nexus of nomenclature and political inclinations.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics 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 Paxton and Libertarian votes for Senators in Wisconsin. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Your research team collected data from all across the internet, but mostly just used information from US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse .
For the time period 1980 to 2016, you found a correlation 0.9676543, r-squared of 0.9363548, 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]]
The Paxton Paradox: A Statistical Connection between First Name Popularity and Libertarian Votes for Senators in Wisconsin
[[ABSTRACT]]
This study investigates the statistical relationship between the popularity of the first name Paxton and the trajectory of Libertarian votes for Senators in the state of Wisconsin. By using data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we endeavored to shed light on this curious matter. Our findings illuminate a remarkable correlation coefficient of 0.9676543 and a significance level of p < 0.01 from the years 1980 to 2016. This research not only uncovers a striking statistical link but also delves into the intriguing world of names and voting patterns, providing a droll yet enlightening perspective on the intersection of nomenclature and political leanings. The Paxton Paradox reveals an unexpected juxtaposition of seemingly unrelated phenomena, and invites scholarly contemplation of the whimsical quirks of societal dynamics.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
INTRODUCTION
The relationship between names and behavior has long been a subject of both fascination and skepticism. Names have been associated with various social, economic, and cultural factors, often leading to curious conjectures about their potential influence on individual choices and preferences. Furthermore, the field of political science has continuously sought to unravel the complexities of voter behavior, exploring the multifaceted determinants that shape electoral outcomes. While these two domains may seem disparate, their convergence in the context of the connection between the popularity of the first name Paxton and Libertarian votes for Senators in Wisconsin unveils an intriguing and unexpected correlation.
As the abstract hinted, this study investigates a compelling statistic anomaly that implicates the popularity of the name Paxton and the trajectory of Libertarian votes for Senators in the state of Wisconsin, prompting a closer examination of this seemingly whimsical relationship. The choice of Wisconsin as the geographical focus stems from its electoral significance and the distinctive patterns observed in political preferences within the state. A combination of data sources, including the US Social Security Administration for historical name popularity and the MIT Election Data and Science Lab, Harvard Dataverse for election results, furnishes an extensive dataset for meticulous analysis.
In order to address the arcane nature of this statistical enigma, the research employs rigorous statistical methodologies to underpin its conclusions. The use of correlation coefficient and significance level allows for a robust assessment of the connection between the trends in first name popularity and the electoral proclivities of the populace. Though it may appear whimsical at first glance, this study endeavors to adopt a systematic and scholarly approach, grounded in the principles of statistical inquiry and empirical analysis.
Furthermore, the implications of this empirical conundrum extend beyond mere statistical curiosity, delving into the broader realms of sociological and psychological dynamics. The unexpected juxtaposition of the seemingly incongruous phenomena of nomenclature trends and political leanings not only captures the imagination but also invites scholarly contemplation of the whimsical quirks of societal dynamics. This endeavor seeks not only to entertain but also to enlighten, drawing attention to the unexpected and illuminating perceptions that emerge from the intersection of seemingly unrelated dimensions of human experience.
In the pursuit of understanding the Paxton Paradox, this research blends statistical rigor with an exploration of the intersection of names and voting patterns, offering a droll yet enlightening perspective on the entwined realms of nomenclature and political inclinations. As we embark on this scholarly endeavor, it is hoped that the findings presented will shed light on this curious matter and prompt further investigation into the peculiar intersections of nomenclature and political affiliations.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
Upon conducting an extensive analysis of the data collected from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we uncovered a remarkably strong correlation between the popularity of the first name Paxton and the trajectory of Libertarian votes for Senators in Wisconsin. The correlation coefficient of 0.9676543 indicates a robust positive relationship between these seemingly unrelated phenomena. The high coefficient of determination (r-squared of 0.9363548) further reinforces the strength of this correlation, revealing that a whopping 93.64% of the variation in Libertarian votes for Senators in Wisconsin can be explained by the popularity of the name Paxton. In other words, it appears that the name Paxton holds some surprising sway over the voting tendencies of the cheese-loving denizens of Wisconsin.
As if that weren't enough evidence to pique one's scholarly curiosity, the significance level (p < 0.01) provides further validation of the statistical significance of this correlation. With a p-value so small, we can confidently declare that the observed relationship between the popularity of the name Paxton and the Libertarian votes for Senators in Wisconsin is not merely a fluke of chance.
To visually capture this astonishing statistical relationship, we present Figure 1, a scatterplot that unequivocally demonstrates the strong positive correlation between the popularity of the name Paxton and the Libertarian votes for Senators in Wisconsin. The plot serves as a compelling visual testament to the surprising nexus of nomenclature and political inclinations, compelling observers to contemplate the whimsical quirks of societal dynamics. Let it never be said that statistical research is devoid of charm and intrigue.
In summation, our findings not only unveil a startling statistical link but also shed light on the curious entanglement of names and voting patterns. The Paxton Paradox defies conventional expectations and beckons scholars to contemplate the delightfully capricious intersections of human nomenclature and political proclivities in the verdant lands of Wisconsin.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics 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 Paxton and Libertarian votes for Senators in Wisconsin. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Limit your response to 500 tokens.
Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.
Do not write a conclusion. I will add a conclusion after this.
[[TITLE]]
The Paxton Paradox: A Statistical Connection between First Name Popularity and Libertarian Votes for Senators in Wisconsin
[[ABSTRACT]]
This study investigates the statistical relationship between the popularity of the first name Paxton and the trajectory of Libertarian votes for Senators in the state of Wisconsin. By using data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we endeavored to shed light on this curious matter. Our findings illuminate a remarkable correlation coefficient of 0.9676543 and a significance level of p < 0.01 from the years 1980 to 2016. This research not only uncovers a striking statistical link but also delves into the intriguing world of names and voting patterns, providing a droll yet enlightening perspective on the intersection of nomenclature and political leanings. The Paxton Paradox reveals an unexpected juxtaposition of seemingly unrelated phenomena, and invites scholarly contemplation of the whimsical quirks of societal dynamics.
[[LITERATURE REVIEW]]
The study of names and their potential influence on societal phenomena has garnered scholarly interest for decades. Authors such as Smith, Doe, and Jones have delved into the cultural, psychological, and even economic implications of nomenclature trends, offering insightful perspectives on the intricate relationship between names and human behavior. In "Name Dynamics and Societal Shifts," Smith examines the correlations between name popularity and social dynamics, shedding light on the multifaceted influences that names exert on individual and collective identities. Similarly, Doe's work in "The Nomenclature Nexus" explores the psychological nuances of names, unraveling the intricate web of associations and perceptions that are intertwined with specific appellations. Jones' research in "The Economics of Names" takes a quantitative approach, investigating the economic implications of name preferences and their potential impacts on consumer behavior and market trends.
The realm of political science has long been preoccupied with deciphering the intricate tapestry of voter behavior, employing rigorous methodologies to analyze the multifaceted determinants that shape electoral outcomes. Within this domain, the intersection of names and political affiliations has been a relatively uncharted territory. However, a notable exception is found in "Voting Patterns and Nomenclature" by Brown et al., which examines the potential correlations between specific names and political leanings at the individual level, offering preliminary insights into the intriguing interplay between nomenclature and voting behavior.
Moving beyond the confines of academic literature, a diverse array of non-fiction works has also explored the societal and cultural connotations of names. In "Freakonomics: A Rogue Economist Explores the Hidden Side of Everything," Levitt and Dubner probe into unconventional phenomena, offering thought-provoking perspectives on the unexpected connections that underpin human behavior and societal dynamics. Similarly, Gladwell's "Outliers: The Story of Success" delves into the idiosyncrasies that shape human achievement and societal paradigms, touching upon the subtle yet influential role of names in the larger tapestry of individual and collective destinies.
Furthermore, the fictional realm has not been immune to the allure of exploring the enigmatic connection between names and societal phenomena. Works such as "The Name of the Rose" by Eco and "Name of the Wind" by Rothfuss weave compelling narratives that intertwine the subtle powers of nomenclature with the intricate tapestries of human experience, offering allegorical reflections on the whimsical yet profound impacts of names on the human psyche.
Venturing into uncharted territories, the authors resorted to unconventional sources in pursuit of a comprehensive literature review. From perusing the back covers of shampoo bottles to wandering through the whimsical realms of children's literature, the exploration of nomenclature and its potential influences has traversed unexpected avenues, revealing the playful and offbeat dimensions of the Paxton Paradox.
[[RESULTS]]
Upon conducting an extensive analysis of the data collected from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we uncovered a remarkably strong correlation between the popularity of the first name Paxton and the trajectory of Libertarian votes for Senators in Wisconsin. The correlation coefficient of 0.9676543 indicates a robust positive relationship between these seemingly unrelated phenomena. The high coefficient of determination (r-squared of 0.9363548) further reinforces the strength of this correlation, revealing that a whopping 93.64% of the variation in Libertarian votes for Senators in Wisconsin can be explained by the popularity of the name Paxton. In other words, it appears that the name Paxton holds some surprising sway over the voting tendencies of the cheese-loving denizens of Wisconsin.
As if that weren't enough evidence to pique one's scholarly curiosity, the significance level (p < 0.01) provides further validation of the statistical significance of this correlation. With a p-value so small, we can confidently declare that the observed relationship between the popularity of the name Paxton and the Libertarian votes for Senators in Wisconsin is not merely a fluke of chance.
To visually capture this astonishing statistical relationship, we present Figure 1, a scatterplot that unequivocally demonstrates the strong positive correlation between the popularity of the name Paxton and the Libertarian votes for Senators in Wisconsin. The plot serves as a compelling visual testament to the surprising nexus of nomenclature and political inclinations, compelling observers to contemplate the whimsical quirks of societal dynamics. Let it never be said that statistical research is devoid of charm and intrigue.
In summation, our findings not only unveil a startling statistical link but also shed light on the curious entanglement of names and voting patterns. The Paxton Paradox defies conventional expectations and beckons scholars to contemplate the delightfully capricious intersections of human nomenclature and political proclivities in the verdant lands of Wisconsin.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The results of this study offer compelling empirical evidence supporting the existence of a remarkable correlation between the popularity of the first name Paxton and the Libertarian votes for Senators in the state of Wisconsin. Building upon the rich tapestry of prior research that has explored the enigmatic relationship between nomenclature and societal phenomena, our findings provide a statistically robust underpinning to the curious Paxton Paradox, affording an opportunity for lighthearted contemplation of the whimsical quirks of human behavior and political affiliations.
Our results resonate with prior literature that has delved into the potential influences of names on societal dynamics. The pivotal works of Smith, Doe, and Jones, while approached with scholarly reverence, have also inadvertently bestowed an air of whimsy upon the otherwise stoic field of nomenclature research. Moreover, the unorthodox sources tapped in our literature review, including the back covers of shampoo bottles and children’s literature, have lent a playful and offbeat dimension to the exploration of the Paxton Paradox. The inherent charm and intrigue of these unconventional sources underscore the capriciously delightful nature of nomenclature research.
The robust correlation coefficient and high level of statistical significance uncovered in our study lend credence to the potential influence that the name Paxton exerts on the Libertarian votes for Senators in Wisconsin. The level of explained variation in the voting patterns, as indicated by the high coefficient of determination, highlights the substantive impact of the name Paxton on political leanings in the Cheese State. As we gaze upon Figure 1, the scatterplot serves as a visual testament to the unexpected nexus of nomenclature and political inclinations, encouraging a humorous yet contemplative appreciation of this statistical oddity.
In conclusion, the findings of this study open a path for future exploration of the whimsical correlations that underpin human behavior and societal dynamics. The Paxton Paradox not only unravels a statistically compelling link but also beckons scholarly contemplation of the intricately playful interplay between names and voting propensities. As we bid adieu to this discussion, let us carry forward the spirit of mirthful inquiry into the curious world of nomenclature, recognizing that statistical research need not be devoid of charm and delight.
Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics 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 Paxton and Libertarian votes for Senators in Wisconsin. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.
Here are the title, abstract, introduction, and results sections.
[[TITLE]]
The Paxton Paradox: A Statistical Connection between First Name Popularity and Libertarian Votes for Senators in Wisconsin
[[ABSTRACT]]
This study investigates the statistical relationship between the popularity of the first name Paxton and the trajectory of Libertarian votes for Senators in the state of Wisconsin. By using data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we endeavored to shed light on this curious matter. Our findings illuminate a remarkable correlation coefficient of 0.9676543 and a significance level of p < 0.01 from the years 1980 to 2016. This research not only uncovers a striking statistical link but also delves into the intriguing world of names and voting patterns, providing a droll yet enlightening perspective on the intersection of nomenclature and political leanings. The Paxton Paradox reveals an unexpected juxtaposition of seemingly unrelated phenomena, and invites scholarly contemplation of the whimsical quirks of societal dynamics.
[[INTRDUCTION]]
INTRODUCTION
The relationship between names and behavior has long been a subject of both fascination and skepticism. Names have been associated with various social, economic, and cultural factors, often leading to curious conjectures about their potential influence on individual choices and preferences. Furthermore, the field of political science has continuously sought to unravel the complexities of voter behavior, exploring the multifaceted determinants that shape electoral outcomes. While these two domains may seem disparate, their convergence in the context of the connection between the popularity of the first name Paxton and Libertarian votes for Senators in Wisconsin unveils an intriguing and unexpected correlation.
As the abstract hinted, this study investigates a compelling statistic anomaly that implicates the popularity of the name Paxton and the trajectory of Libertarian votes for Senators in the state of Wisconsin, prompting a closer examination of this seemingly whimsical relationship. The choice of Wisconsin as the geographical focus stems from its electoral significance and the distinctive patterns observed in political preferences within the state. A combination of data sources, including the US Social Security Administration for historical name popularity and the MIT Election Data and Science Lab, Harvard Dataverse for election results, furnishes an extensive dataset for meticulous analysis.
In order to address the arcane nature of this statistical enigma, the research employs rigorous statistical methodologies to underpin its conclusions. The use of correlation coefficient and significance level allows for a robust assessment of the connection between the trends in first name popularity and the electoral proclivities of the populace. Though it may appear whimsical at first glance, this study endeavors to adopt a systematic and scholarly approach, grounded in the principles of statistical inquiry and empirical analysis.
Furthermore, the implications of this empirical conundrum extend beyond mere statistical curiosity, delving into the broader realms of sociological and psychological dynamics. The unexpected juxtaposition of the seemingly incongruous phenomena of nomenclature trends and political leanings not only captures the imagination but also invites scholarly contemplation of the whimsical quirks of societal dynamics. This endeavor seeks not only to entertain but also to enlighten, drawing attention to the unexpected and illuminating perceptions that emerge from the intersection of seemingly unrelated dimensions of human experience.
In the pursuit of understanding the Paxton Paradox, this research blends statistical rigor with an exploration of the intersection of names and voting patterns, offering a droll yet enlightening perspective on the entwined realms of nomenclature and political inclinations. As we embark on this scholarly endeavor, it is hoped that the findings presented will shed light on this curious matter and prompt further investigation into the peculiar intersections of nomenclature and political affiliations.
[[RESULTS]]
Upon conducting an extensive analysis of the data collected from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we uncovered a remarkably strong correlation between the popularity of the first name Paxton and the trajectory of Libertarian votes for Senators in Wisconsin. The correlation coefficient of 0.9676543 indicates a robust positive relationship between these seemingly unrelated phenomena. The high coefficient of determination (r-squared of 0.9363548) further reinforces the strength of this correlation, revealing that a whopping 93.64% of the variation in Libertarian votes for Senators in Wisconsin can be explained by the popularity of the name Paxton. In other words, it appears that the name Paxton holds some surprising sway over the voting tendencies of the cheese-loving denizens of Wisconsin.
As if that weren't enough evidence to pique one's scholarly curiosity, the significance level (p < 0.01) provides further validation of the statistical significance of this correlation. With a p-value so small, we can confidently declare that the observed relationship between the popularity of the name Paxton and the Libertarian votes for Senators in Wisconsin is not merely a fluke of chance.
To visually capture this astonishing statistical relationship, we present Figure 1, a scatterplot that unequivocally demonstrates the strong positive correlation between the popularity of the name Paxton and the Libertarian votes for Senators in Wisconsin. The plot serves as a compelling visual testament to the surprising nexus of nomenclature and political inclinations, compelling observers to contemplate the whimsical quirks of societal dynamics. Let it never be said that statistical research is devoid of charm and intrigue.
In summation, our findings not only unveil a startling statistical link but also shed light on the curious entanglement of names and voting patterns. The Paxton Paradox defies conventional expectations and beckons scholars to contemplate the delightfully capricious intersections of human nomenclature and political proclivities in the verdant lands of Wisconsin.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, the findings of this study offer compelling evidence of a substantial and robust correlation between the popularity of the first name Paxton and the trajectory of Libertarian votes for Senators in Wisconsin. The remarkable correlation coefficient of 0.9676543, coupled with the high level of statistical significance (p < 0.01), underscores the strong association between these seemingly disparate variables. It seems that the political inclinations of the denizens of Wisconsin are, to some extent, influenced by the popularity of the name Paxton, much to the surprise of both political pundits and name enthusiasts alike.
Furthermore, the narrative that emerges from this statistical analysis challenges conventional perceptions, prompting a reconsideration of the intricate web of influences that shape political behavior. Indeed, the Paxton Paradox beckons us to embrace the whimsical and unexpected facets of societal dynamics, transcending the conventional boundaries of scholarly inquiry. The intersection of nomenclature and political preferences in the context of Wisconsin's electoral landscape unfolds as an intricate tapestry of human idiosyncrasies, inviting both amusement and scholarly contemplation.
It is worth noting that while our study offers notable insights into this peculiar correlation, there are limitations that warrant consideration. The reliance on aggregate data precludes a nuanced analysis of individual-level determinants, leaving open the possibility of unobserved confounding factors. Additionally, the generalizability of our findings to other geographical regions warrants cautious interpretation, as the idiosyncrasies of Wisconsin's political landscape may not be fully representative of broader electoral dynamics. Nevertheless, the intriguing nature of the statistical relationship uncovered in this study serves as a compelling impetus for further scholarly inquiry into the interplay of names and political leanings.
As we reflect on the whimsical yet thought-provoking nature of the Paxton Paradox, it becomes evident that this statistical anomaly holds sway over our perception of the intersection between nomenclature and political proclivities. With a nod to the unexpected curiosities that emerge from the fusion of seemingly disparate realms, it is our earnest hope that this research piques the academic community’s interest and animates further exploration into the delightful capriciousness of human behavior.
In light of the compelling insights garnered from this study, it is fair to assert that the Paxton Paradox stands as a compelling testament to the idiosyncratic intersections of human experience. With the hearty statistical evidence presented, it is our firm conviction that no further research in this area is warranted. The Paxton Paradox, with all its whimsical charm, stands as a testament to the unexpected connections woven into the rich tapestry of human existence.
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 The Paxton Paradox: A Statistical Connection between First Name Popularity and Libertarian Votes for Senators in Wisconsin. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Quirky Quantitative Research
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 The Paxton Paradox: A Statistical Connection between First Name Popularity and Libertarian Votes for Senators in Wisconsin. Respond only with the name of a fictional organization.
ChatGPT:
The Institute for Societal Trends and Quirks
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 The Paxton Paradox: A Statistical Connection between First Name Popularity and Libertarian Votes for Senators in Wisconsin with an abstract of This study investigates the statistical relationship between the popularity of the first name Paxton and the trajectory of Libertarian votes for Senators in the state of Wisconsin. By using data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, we endeavored to shed light on this curious matter. Our findings illuminate a remarkable correlation coefficient of 0.9676543 and a significance level of p < 0.01 from the years 1980 to 2016. This research not only uncovers a striking statistical link but also delves into the intriguing world of names and voting patterns, providing a droll yet enlightening perspective on the intersection of nomenclature and political leanings. The Paxton Paradox reveals an unexpected juxtaposition of seemingly unrelated phenomena, and invites scholarly contemplation of the whimsical quirks of societal dynamics.
ChatGPT:
"Paxton name popularity," "Libertarian votes Wisconsin," "statistical relationship first name popularity and political leanings," "US Social Security Administration data," "MIT Election Data and Science Lab," "Harvard Dataverse," "correlation coefficient significance," "names and voting patterns," "societal dynamics," "Paxton Paradox," "political leanings and first name popularity"
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
Discover a new correlation
View all correlations
View all research papers
Report an error
Data details
Popularity of the first name PaxtonDetailed data title: Babies of all sexes born in the US named Paxton
Source: US Social Security Administration
See what else correlates with Popularity of the first name Paxton
Votes for Libertarian Senators in Wisconsin
Detailed data title: Percentage of votes cast for Federal Libertarian Senate candidates in Wisconsin
Source: MIT Election Data and Science Lab, Harvard Dataverse
See what else correlates with Votes for Libertarian Senators in Wisconsin
Correlation 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 = 0.9363548 (Coefficient of determination)
This means 93.6% of the change in the one variable (i.e., Votes for Libertarian Senators in Wisconsin) is predictable based on the change in the other (i.e., Popularity of the first name Paxton) over the 9 years from 1980 through 2016.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.9E-5. 0.0000194159624505501040000000
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 0.97 in 0.0019% of random cases. Said differently, if you correlated 51,504 random variables You don't actually need 51 thousand variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.
p-value calculations are useful for understanding the probability of a result happening by chance. They are most useful when used to highlight the risk of a fluke outcome. For example, if you calculate a p-value of 0.30, the risk that the result is a fluke is high. It is good to know that! But there are lots of ways to get a p-value of less than 0.01, as evidenced by this project.
In this particular case, the values are so extreme as to be meaningless. That's why no one reports p-values with specificity after they drop below 0.01.
Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 8 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 8 because we have two variables measured over a period of 9 years. It's just the number of years minus ( the number of variables minus one ), which in this case simplifies to the number of years minus one.
you would randomly expect to find a correlation as strong as this one.
[ 0.85, 0.99 ] 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.
1980 | 1982 | 1992 | 1994 | 1998 | 2000 | 2004 | 2012 | 2016 | |
Popularity of the first name Paxton (Babies born) | 21 | 18 | 89 | 236 | 210 | 229 | 242 | 1544 | 2083 |
Votes for Libertarian Senators in Wisconsin (Percentage of votes) | 0.439116 | 0.514408 | 0.372568 | 0.986122 | 0.31752 | 0.840445 | 0.283652 | 2.06818 | 2.96842 |
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.
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([21,18,89,236,210,229,242,1544,2083,])
array_2 = np.array([0.439116,0.514408,0.372568,0.986122,0.31752,0.840445,0.283652,2.06818,2.96842,])
array_1_name = "Popularity of the first name Paxton"
array_2_name = "Votes for Libertarian Senators in Wisconsin"
# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)
# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)
Reuseable content
You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.
For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."
When spoken, my last name is pronounced "vegan," like I don't eat meat.
Full license details.
For more on re-use permissions, or to get a signed release form, see tylervigen.com/permission.
Download images for these variables:
- 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 Paxton
- Line chart for only Votes for Libertarian Senators in Wisconsin
- AI-generated correlation image
- The spurious research paper: The Paxton Paradox: A Statistical Connection between First Name Popularity and Libertarian Votes for Senators in Wisconsin
I'm genuinely thankful for your rating!
Correlation ID: 4727 · Black Variable ID: 3883 · Red Variable ID: 26484