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Spurious correlation #5,394 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Votes for Libertarian Senators in Georgia and the second variable is Age of Miss Teen USA.  The chart goes from 1992 to 2020, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

As the Libertarian votes for Senators in Georgia went up, so did the desire for greater independence. This sparked a ripple effect, leading to a surge in young adults declaring, "I want to do my own thang!" Consequently, the age of eligibility for the Miss Teen USA pageant was adjusted to accommodate this newfound sense of autonomy, because let's face it, nothing says freedom like being able to participate in a beauty pageant on your own terms.

Model: dalle-3
Prompt: Generate a bustling scene within a vibrant town square in Georgia. The sunlight bathes the area in a warm glow as people bustle about, each with a clear sense of purpose. An influential sign proudly showcases the growing numbers of votes for Libertarian Senators, symbolizing the evolving political landscape. Nearby, a group of enthusiastic young adults gathers, their voices filled with excitement, exuding a palpable desire for independence and self-determination. While in the distance, a large, striking banner announces the Miss Teen USA pageant with an altered age eligibility requirement, reflecting the youthful energy and aspirations for autonomy that permeate the atmosphere. 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: Votes for Libertarian Senators in Georgia and Age of Miss Teen USA. 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: Futuristic Voxel art Brutalism Cutsy graphics Cyber folk
ChatGPT: Cyber folk

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 Votes for Libertarian Senators in Georgia and Age of Miss Teen USA, in the following situation: As the Libertarian votes for Senators in Georgia went up, so did the desire for greater independence. This sparked a ripple effect, leading to a surge in young adults declaring, "I want to do my own thang!" Consequently, the age of eligibility for the Miss Teen USA pageant was adjusted to accommodate this newfound sense of autonomy, because let's face it, nothing says freedom like being able to participate in a beauty pageant on your own terms.. Keep the description simple.
ChatGPT: In a bustling town square in Georgia, the sun is shining brightly as people walk around with purpose. A large sign proudly displays the increasing number of votes for Libertarian Senators. Nearby, a group of young adults gather, their voices filled with excitement as they express their desire for independence. Meanwhile, a banner announcing the Miss Teen USA pageant displays a lowered age of eligibility, reflecting the youthful energy and desire for autonomy in the air.

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: [ Cyber folk ] and depicting this scene: In a bustling town square in Georgia, the sun is shining brightly as people walk around with purpose. A large sign proudly displays the increasing number of votes for Libertarian Senators. Nearby, a group of young adults gather, their voices filled with excitement as they express their desire for independence. Meanwhile, a banner announcing the Miss Teen USA pageant displays a lowered age of eligibility, reflecting the youthful energy and desire for autonomy in the air. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate a bustling scene within a vibrant town square in Georgia. The sunlight bathes the area in a warm glow as people bustle about, each with a clear sense of purpose. An influential sign proudly showcases the growing numbers of votes for Libertarian Senators, symbolizing the evolving political landscape. Nearby, a group of enthusiastic young adults gathers, their voices filled with excitement, exuding a palpable desire for independence and self-determination. While in the distance, a large, striking banner announces the Miss Teen USA pageant with an altered age eligibility requirement, reflecting the youthful energy and aspirations for autonomy that permeate the atmosphere.

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

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

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

AI academic paper

(Because p < 0.01)
The Age of the Libertarian: A Teeny Influence on Senatorial Election Outcomes in Georgia

The Journal of Political Behavior and Decision Making

Jan 2024

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




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

Please draft the title and abstract of an academic research paper presenting the findings of the connection between Libertarian votes for Senators in Georgia and Age of Miss Teen USA. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Make the title a clever pun.

Your research team used data from MIT Election Data and Science Lab, Harvard Dataverse and Wikipedia to assess this nagging question. You found a correlation coefficient of 0.8488303 and p < 0.01 for 1992 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]]
The Age of the Libertarian: A Teeny Influence on Senatorial Election Outcomes in Georgia

[[ABSTRACT]]
This study was conducted to explore the relationship between the age of Miss Teen USA titleholders and the number of Libertarian votes for Senators in the state of Georgia. Utilizing data from the MIT Election Data and Science Lab, Harvard Dataverse, and Wikipedia, our research team sought to elucidate any potential connections between these seemingly unrelated variables. Our findings revealed a striking correlation coefficient of 0.8488303 with a statistically significant p-value of less than 0.01 for the years 1992 to 2020. Despite the tongue-in-cheek nature of our investigation, the data suggests that there may indeed be a curious and perhaps whimsical relationship between these two seemingly disparate elements. Further research is warranted to delve deeper into this unexpected alignment, and to explore the broader implications it may have on electoral dynamics and the influence of seemingly unrelated phenomena on political outcomes.


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

Please make up the introduction section of an academic research paper presenting the findings of the connection between Libertarian votes for Senators in Georgia and Age of Miss Teen USA. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Here is the title and abstract of the paper:
[[TITLE]]
The Age of the Libertarian: A Teeny Influence on Senatorial Election Outcomes in Georgia

[[ABSTRACT]]
This study was conducted to explore the relationship between the age of Miss Teen USA titleholders and the number of Libertarian votes for Senators in the state of Georgia. Utilizing data from the MIT Election Data and Science Lab, Harvard Dataverse, and Wikipedia, our research team sought to elucidate any potential connections between these seemingly unrelated variables. Our findings revealed a striking correlation coefficient of 0.8488303 with a statistically significant p-value of less than 0.01 for the years 1992 to 2020. Despite the tongue-in-cheek nature of our investigation, the data suggests that there may indeed be a curious and perhaps whimsical relationship between these two seemingly disparate elements. Further research is warranted to delve deeper into this unexpected alignment, and to explore the broader implications it may have on electoral dynamics and the influence of seemingly unrelated phenomena on political outcomes.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

The age of Miss Teen USA titleholders and the number of Libertarian votes for Senators in the state of Georgia may seem like an odd pairing of variables for analysis. Nevertheless, it is precisely the improbable and the absurd that often pique the curiosity of researchers. In the hallowed tradition of discovering meaningful patterns in apparently incongruous data, we embarked on this quirky investigation to unravel any potential connections between these unlikely bedfellows.

As the old adage goes, "correlation does not imply causation," but it does make for an intriguing starting point in our quest for understanding the complexities of electoral dynamics in the state of Georgia. While our inquiry may elicit a wry smirk or two, it is worth heeding the wise words of William James: "The really important thing is not to be healed, but to find out what we are." Thus, with a glint of irony and a touch of whimsy, we set out to unearth any hidden threads that might tie together the age of Miss Teen USA titleholders and the voter preferences for Libertarian candidates in Georgia senatorial elections.

With the stage set for a captivating intellectual escapade, it behooves us to delve into the literature and rationale behind our investigation, not only for the sake of academic rigor but also to discover the unexpected joys that often lie in the unlikeliest of places. After all, as Albert Einstein so wittily opined, "The most beautiful experience we can have is the mysterious – the fundamental emotion which stands at the cradle of true art and science."


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

Please make up a literature review section of an academic research paper presenting the findings of the connection between Libertarian votes for Senators in Georgia and Age of Miss Teen USA. 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 name a few real TV shows that sound like they might be relevant to the topic that you watched as research.

Here is the title and abstract of the paper:
[[TITLE]]
The Age of the Libertarian: A Teeny Influence on Senatorial Election Outcomes in Georgia

[[ABSTRACT]]
This study was conducted to explore the relationship between the age of Miss Teen USA titleholders and the number of Libertarian votes for Senators in the state of Georgia. Utilizing data from the MIT Election Data and Science Lab, Harvard Dataverse, and Wikipedia, our research team sought to elucidate any potential connections between these seemingly unrelated variables. Our findings revealed a striking correlation coefficient of 0.8488303 with a statistically significant p-value of less than 0.01 for the years 1992 to 2020. Despite the tongue-in-cheek nature of our investigation, the data suggests that there may indeed be a curious and perhaps whimsical relationship between these two seemingly disparate elements. Further research is warranted to delve deeper into this unexpected alignment, and to explore the broader implications it may have on electoral dynamics and the influence of seemingly unrelated phenomena on political outcomes.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The age of Miss Teen USA titleholders and the number of Libertarian votes for Senators in the state of Georgia may seem like an odd pairing of variables for analysis. Nevertheless, it is precisely the improbable and the absurd that often pique the curiosity of researchers. In the hallowed tradition of discovering meaningful patterns in apparently incongruous data, we embarked on this quirky investigation to unravel any potential connections between these unlikely bedfellows.
As the old adage goes, "correlation does not imply causation," but it does make for an intriguing starting point in our quest for understanding the complexities of electoral dynamics in the state of Georgia. While our inquiry may elicit a wry smirk or two, it is worth heeding the wise words of William James: "The really important thing is not to be healed, but to find out what we are." Thus, with a glint of irony and a touch of whimsy, we set out to unearth any hidden threads that might tie together the age of Miss Teen USA titleholders and the voter preferences for Libertarian candidates in Georgia senatorial elections.
With the stage set for a captivating intellectual escapade, it behooves us to delve into the literature and rationale behind our investigation, not only for the sake of academic rigor but also to discover the unexpected joys that often lie in the unlikeliest of places. After all, as Albert Einstein so wittily opined, "The most beautiful experience we can have is the mysterious – the fundamental emotion which stands at the cradle of true art and science."

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

In a study by Smith et al. (2015), the authors find that traditional factors such as party affiliation, candidate popularity, and policy platforms are the typical determinants of electoral outcomes. However, as we embark on our investigation, it is imperative to consider the possibility that seemingly unrelated and whimsical factors may also exert an influence on the electoral landscape. The work of Doe and Jones (2017) supports this notion, highlighting the subtle and often overlooked influences in electoral dynamics.

Turning to works beyond the realm of traditional political science, we encounter explorations of seemingly unrelated phenomena in the works of Gladwell (2000) and Levitt and Dubner (2006). These authors invite readers to contemplate the unforeseen connections between disparate elements and the potential impact of such relationships on societal outcomes.

Moving further into the realm of fiction, the works of Douglas Adams in "The Hitchhiker's Guide to the Galaxy" series and Kurt Vonnegut's "Cat's Cradle" offer quirky perspectives on causality, coincidence, and the whims of destiny, provoking contemplation on the improbable interplay of seemingly unrelated variables.

In our pursuit of insight into unexpected linkages, we turned to fictional narratives in television as well. The popular series "The Twilight Zone" and "The X-Files" both explore the inexplicable and the mysterious, challenging viewers to consider the unanticipated intersections of the ordinary and the extraordinary.

As we navigate through this whimsical and unconventional landscape of literature, we are reminded of the power of the unexpected, the absurd, and the delightfully peculiar. This interplay of the serious and the lighthearted serves as a fitting backdrop as we proceed to unravel the peculiar correlation between the age of Miss Teen USA titleholders and the voter preferences for Libertarian candidates in Georgia senatorial elections.


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

Please make up the methodology section of an academic research paper presenting the findings of the connection between Libertarian votes for Senators in Georgia and Age of Miss Teen USA. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Your research team collected data from all across the internet, but mostly just used information from MIT Election Data and Science Lab, Harvard Dataverse and Wikipedia . You used data from 1992 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]]
The Age of the Libertarian: A Teeny Influence on Senatorial Election Outcomes in Georgia

[[ABSTRACT]]
This study was conducted to explore the relationship between the age of Miss Teen USA titleholders and the number of Libertarian votes for Senators in the state of Georgia. Utilizing data from the MIT Election Data and Science Lab, Harvard Dataverse, and Wikipedia, our research team sought to elucidate any potential connections between these seemingly unrelated variables. Our findings revealed a striking correlation coefficient of 0.8488303 with a statistically significant p-value of less than 0.01 for the years 1992 to 2020. Despite the tongue-in-cheek nature of our investigation, the data suggests that there may indeed be a curious and perhaps whimsical relationship between these two seemingly disparate elements. Further research is warranted to delve deeper into this unexpected alignment, and to explore the broader implications it may have on electoral dynamics and the influence of seemingly unrelated phenomena on political outcomes.

[[INTRODUCTION]]
The age of Miss Teen USA titleholders and the number of Libertarian votes for Senators in the state of Georgia may seem like an odd pairing of variables for analysis. Nevertheless, it is precisely the improbable and the absurd that often pique the curiosity of researchers. In the hallowed tradition of discovering meaningful patterns in apparently incongruous data, we embarked on this quirky investigation to unravel any potential connections between these unlikely bedfellows.
As the old adage goes, "correlation does not imply causation," but it does make for an intriguing starting point in our quest for understanding the complexities of electoral dynamics in the state of Georgia. While our inquiry may elicit a wry smirk or two, it is worth heeding the wise words of William James: "The really important thing is not to be healed, but to find out what we are." Thus, with a glint of irony and a touch of whimsy, we set out to unearth any hidden threads that might tie together the age of Miss Teen USA titleholders and the voter preferences for Libertarian candidates in Georgia senatorial elections.
With the stage set for a captivating intellectual escapade, it behooves us to delve into the literature and rationale behind our investigation, not only for the sake of academic rigor but also to discover the unexpected joys that often lie in the unlikeliest of places. After all, as Albert Einstein so wittily opined, "The most beautiful experience we can have is the mysterious – the fundamental emotion which stands at the cradle of true art and science."

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

The present study employed a blended methodology that combined elements of data mining, statistical analysis, and a smidgen of creative whimsy. The first step involved data collection from a variety of sources, with a particular focus on the MIT Election Data and Science Lab, Harvard Dataverse, and the treasure trove of knowledge that is Wikipedia. The decision to gather data from these sources was based on their comprehensive coverage of electoral statistics and Miss Teen USA pageant winners' ages, as well as their accessibility to the research team during the COVID-19 pandemic, where a reliance on virtual resources was paramount.

The initial phase of data collection yielded information spanning the years 1992 to 2020, providing a robust dataset for analysis. The entwining of electoral data with the age of Miss Teen USA titleholders, though unconventional, was undertaken with the hope of uncovering any serendipitous patterns lurking beneath the surface of seemingly unrelated phenomena. The subversion of conventional research paradigms in favor of a "whimsical lens," while unorthodox, aimed to inject an element of playfulness into the otherwise austere domain of empirical investigation.

Following the acquisition of data, a rigorous process of data cleaning and validation ensued. Careful attention was given to ensure the accuracy and reliability of the dataset, given the inherent cheekiness of the research question at hand. Outliers and anomalies were scrutinized with an air of levity, as the research team remained astutely aware of the need to maintain scientific rigor amidst the conviviality of the research subject.

Subsequently, the crux of the analysis entailed exploring the correlation between the age of Miss Teen USA titleholders and the number of Libertarian votes for Senators in Georgia. This involved the application of advanced statistical techniques, including but not limited to Pearson's correlation coefficient, and regression analyses. The utilization of such statistical tools provided a quantifiable means to assess the strength and direction of any observed relationship, while simultaneously infusing a tincture of whimsical irony into the fabric of the research endeavor.

Additionally, a series of sensitivity analyses and robustness checks were conducted to assess the stability and reproducibility of the results. Sensitivity to the nuances of the dataset, while interwoven with a touch of lightheartedness, remained a cornerstone of the methodological approach, as the research team endeavored to uphold the principles of scientific inquiry amidst the quirkiness of the investigation.


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

Please make up the results section of an academic research paper presenting the findings of the connection between Libertarian votes for Senators in Georgia and Age of Miss Teen USA. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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

For the time period 1992 to 2020, you found a correlation 0.8488303, r-squared of 0.7205129, 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 Age of the Libertarian: A Teeny Influence on Senatorial Election Outcomes in Georgia

[[ABSTRACT]]
This study was conducted to explore the relationship between the age of Miss Teen USA titleholders and the number of Libertarian votes for Senators in the state of Georgia. Utilizing data from the MIT Election Data and Science Lab, Harvard Dataverse, and Wikipedia, our research team sought to elucidate any potential connections between these seemingly unrelated variables. Our findings revealed a striking correlation coefficient of 0.8488303 with a statistically significant p-value of less than 0.01 for the years 1992 to 2020. Despite the tongue-in-cheek nature of our investigation, the data suggests that there may indeed be a curious and perhaps whimsical relationship between these two seemingly disparate elements. Further research is warranted to delve deeper into this unexpected alignment, and to explore the broader implications it may have on electoral dynamics and the influence of seemingly unrelated phenomena on political outcomes.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The age of Miss Teen USA titleholders and the number of Libertarian votes for Senators in the state of Georgia may seem like an odd pairing of variables for analysis. Nevertheless, it is precisely the improbable and the absurd that often pique the curiosity of researchers. In the hallowed tradition of discovering meaningful patterns in apparently incongruous data, we embarked on this quirky investigation to unravel any potential connections between these unlikely bedfellows.
As the old adage goes, "correlation does not imply causation," but it does make for an intriguing starting point in our quest for understanding the complexities of electoral dynamics in the state of Georgia. While our inquiry may elicit a wry smirk or two, it is worth heeding the wise words of William James: "The really important thing is not to be healed, but to find out what we are." Thus, with a glint of irony and a touch of whimsy, we set out to unearth any hidden threads that might tie together the age of Miss Teen USA titleholders and the voter preferences for Libertarian candidates in Georgia senatorial elections.
With the stage set for a captivating intellectual escapade, it behooves us to delve into the literature and rationale behind our investigation, not only for the sake of academic rigor but also to discover the unexpected joys that often lie in the unlikeliest of places. After all, as Albert Einstein so wittily opined, "The most beautiful experience we can have is the mysterious – the fundamental emotion which stands at the cradle of true art and science."

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The analysis of the data revealed a striking correlation coefficient of 0.8488303 between the age of Miss Teen USA titleholders and the number of Libertarian votes for Senators in Georgia, spanning the years 1992 to 2020. The r-squared value of 0.7205129 indicates that approximately 72.05% of the variation in Libertarian votes for Senators can be explained by the age of Miss Teen USA titleholders. The p-value of less than 0.01 demonstrates statistical significance, lending support to the notion that this correlation is unlikely to be a mere chance occurrence.

Figure 1 is a compelling scatterplot that vividly illustrates the robust relationship between the age of Miss Teen USA titleholders and the number of Libertarian votes for Senators in Georgia. The data points coalesce in a visually persuasive manner, leaving little doubt about the strength of the correlation.

In scrutinizing this seemingly bizarre association between a beauty pageant and political preferences, one cannot help but be reminded of the words of Sir Arthur Conan Doyle's famous detective: "The game is afoot!" Indeed, the unexpected linkage between these two disparate variables invokes a sense of intrigue and amusement, prompting further contemplation about the quirky intricacies of social phenomena.

The notable co-occurrence of these variables beckons further exploration, challenging conventional wisdom and teasing out unconventional insights. While this study may be taken with a grain of humor, beneath the whimsical facade lies an intriguing puzzle that merits deeper investigation. It is our hope that this lighthearted yet thought-provoking inquiry will stimulate scholarly discourse and perhaps bring a touch of levity to the often austere realm of academic research.


Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the discussion section of 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 Libertarian votes for Senators in Georgia and Age of Miss Teen USA. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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 Age of the Libertarian: A Teeny Influence on Senatorial Election Outcomes in Georgia

[[ABSTRACT]]
This study was conducted to explore the relationship between the age of Miss Teen USA titleholders and the number of Libertarian votes for Senators in the state of Georgia. Utilizing data from the MIT Election Data and Science Lab, Harvard Dataverse, and Wikipedia, our research team sought to elucidate any potential connections between these seemingly unrelated variables. Our findings revealed a striking correlation coefficient of 0.8488303 with a statistically significant p-value of less than 0.01 for the years 1992 to 2020. Despite the tongue-in-cheek nature of our investigation, the data suggests that there may indeed be a curious and perhaps whimsical relationship between these two seemingly disparate elements. Further research is warranted to delve deeper into this unexpected alignment, and to explore the broader implications it may have on electoral dynamics and the influence of seemingly unrelated phenomena on political outcomes.

[[LITERATURE REVIEW]]
In a study by Smith et al. (2015), the authors find that traditional factors such as party affiliation, candidate popularity, and policy platforms are the typical determinants of electoral outcomes. However, as we embark on our investigation, it is imperative to consider the possibility that seemingly unrelated and whimsical factors may also exert an influence on the electoral landscape. The work of Doe and Jones (2017) supports this notion, highlighting the subtle and often overlooked influences in electoral dynamics.
Turning to works beyond the realm of traditional political science, we encounter explorations of seemingly unrelated phenomena in the works of Gladwell (2000) and Levitt and Dubner (2006). These authors invite readers to contemplate the unforeseen connections between disparate elements and the potential impact of such relationships on societal outcomes.
Moving further into the realm of fiction, the works of Douglas Adams in "The Hitchhiker's Guide to the Galaxy" series and Kurt Vonnegut's "Cat's Cradle" offer quirky perspectives on causality, coincidence, and the whims of destiny, provoking contemplation on the improbable interplay of seemingly unrelated variables.
In our pursuit of insight into unexpected linkages, we turned to fictional narratives in television as well. The popular series "The Twilight Zone" and "The X-Files" both explore the inexplicable and the mysterious, challenging viewers to consider the unanticipated intersections of the ordinary and the extraordinary.
As we navigate through this whimsical and unconventional landscape of literature, we are reminded of the power of the unexpected, the absurd, and the delightfully peculiar. This interplay of the serious and the lighthearted serves as a fitting backdrop as we proceed to unravel the peculiar correlation between the age of Miss Teen USA titleholders and the voter preferences for Libertarian candidates in Georgia senatorial elections.

[[RESULTS]]
The analysis of the data revealed a striking correlation coefficient of 0.8488303 between the age of Miss Teen USA titleholders and the number of Libertarian votes for Senators in Georgia, spanning the years 1992 to 2020. The r-squared value of 0.7205129 indicates that approximately 72.05% of the variation in Libertarian votes for Senators can be explained by the age of Miss Teen USA titleholders. The p-value of less than 0.01 demonstrates statistical significance, lending support to the notion that this correlation is unlikely to be a mere chance occurrence.
Figure 1 is a compelling scatterplot that vividly illustrates the robust relationship between the age of Miss Teen USA titleholders and the number of Libertarian votes for Senators in Georgia. The data points coalesce in a visually persuasive manner, leaving little doubt about the strength of the correlation.
In scrutinizing this seemingly bizarre association between a beauty pageant and political preferences, one cannot help but be reminded of the words of Sir Arthur Conan Doyle's famous detective: "The game is afoot!" Indeed, the unexpected linkage between these two disparate variables invokes a sense of intrigue and amusement, prompting further contemplation about the quirky intricacies of social phenomena.
The notable co-occurrence of these variables beckons further exploration, challenging conventional wisdom and teasing out unconventional insights. While this study may be taken with a grain of humor, beneath the whimsical facade lies an intriguing puzzle that merits deeper investigation. It is our hope that this lighthearted yet thought-provoking inquiry will stimulate scholarly discourse and perhaps bring a touch of levity to the often austere realm of academic research.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The revelation of a strong correlation between the age of Miss Teen USA titleholders and the number of Libertarian votes for Senators in Georgia from 1992 to 2020 underscores the surprising influence of seemingly unrelated factors in electoral dynamics. This unexpected alignment not only defies conventional wisdom but also evokes a certain sense of whimsy and curiosity in unraveling the underlying mechanisms at play.

The investigation into this peculiar correlation, while initiated with a lighthearted spirit, has yielded results that echo the subtle influences and unexpected connections espoused in the works of Smith et al. (2015), Doe and Jones (2017), and of course, the thought-provoking musings of Gladwell (2000) and Levitt and Dubner (2006). The offhand references to the enigmatic narratives of "The Twilight Zone" and "The X-Files" in the literature review, although seemingly flippant, now appear to bear an uncanny relevance, as they underscore the profound impact of unforeseen linkages in shaping societal phenomena.

The robust correlation coefficient and statistically significant p-value encountered in this study substantiate the notion that the age of Miss Teen USA titleholders indeed exerts a tangible, albeit unconventional, influence on the electoral preferences of Libertarian voters in Georgia senatorial elections. This finding not only challenges traditional electoral paradigms but also prompts a re-examination of the intricate interplay between seemingly disparate elements in shaping political outcomes.

In light of these results, the words of Douglas Adams in "The Hitchhiker's Guide to the Galaxy," once regarded as mere whimsical fiction, gain newfound relevance as they compel us to contemplate the whims of destiny and the unpredictable interplay of seemingly unrelated variables. While the curious association between beauty pageants and political preferences may elicit a chuckle, it nevertheless presents a compelling call for further scholarly inquiry into the quirky intricacies of electoral dynamics.

In conclusion, although this study may have commenced as a light-hearted foray into the unexpected, the data unearthed a fascinating correlation that challenges preconceived notions and underscores the need for a more nuanced understanding of the factors that shape electoral behavior. It is our hope that this unorthodox investigation will not only stimulate scholarly discourse but also infuse a touch of levity into the solemn expanse of electoral research.


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

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Libertarian votes for Senators in Georgia and Age of Miss Teen USA. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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 Age of the Libertarian: A Teeny Influence on Senatorial Election Outcomes in Georgia

[[ABSTRACT]]
This study was conducted to explore the relationship between the age of Miss Teen USA titleholders and the number of Libertarian votes for Senators in the state of Georgia. Utilizing data from the MIT Election Data and Science Lab, Harvard Dataverse, and Wikipedia, our research team sought to elucidate any potential connections between these seemingly unrelated variables. Our findings revealed a striking correlation coefficient of 0.8488303 with a statistically significant p-value of less than 0.01 for the years 1992 to 2020. Despite the tongue-in-cheek nature of our investigation, the data suggests that there may indeed be a curious and perhaps whimsical relationship between these two seemingly disparate elements. Further research is warranted to delve deeper into this unexpected alignment, and to explore the broader implications it may have on electoral dynamics and the influence of seemingly unrelated phenomena on political outcomes.

[[INTRDUCTION]]
The age of Miss Teen USA titleholders and the number of Libertarian votes for Senators in the state of Georgia may seem like an odd pairing of variables for analysis. Nevertheless, it is precisely the improbable and the absurd that often pique the curiosity of researchers. In the hallowed tradition of discovering meaningful patterns in apparently incongruous data, we embarked on this quirky investigation to unravel any potential connections between these unlikely bedfellows.
As the old adage goes, "correlation does not imply causation," but it does make for an intriguing starting point in our quest for understanding the complexities of electoral dynamics in the state of Georgia. While our inquiry may elicit a wry smirk or two, it is worth heeding the wise words of William James: "The really important thing is not to be healed, but to find out what we are." Thus, with a glint of irony and a touch of whimsy, we set out to unearth any hidden threads that might tie together the age of Miss Teen USA titleholders and the voter preferences for Libertarian candidates in Georgia senatorial elections.
With the stage set for a captivating intellectual escapade, it behooves us to delve into the literature and rationale behind our investigation, not only for the sake of academic rigor but also to discover the unexpected joys that often lie in the unlikeliest of places. After all, as Albert Einstein so wittily opined, "The most beautiful experience we can have is the mysterious – the fundamental emotion which stands at the cradle of true art and science."

[[RESULTS]]
The analysis of the data revealed a striking correlation coefficient of 0.8488303 between the age of Miss Teen USA titleholders and the number of Libertarian votes for Senators in Georgia, spanning the years 1992 to 2020. The r-squared value of 0.7205129 indicates that approximately 72.05% of the variation in Libertarian votes for Senators can be explained by the age of Miss Teen USA titleholders. The p-value of less than 0.01 demonstrates statistical significance, lending support to the notion that this correlation is unlikely to be a mere chance occurrence.
Figure 1 is a compelling scatterplot that vividly illustrates the robust relationship between the age of Miss Teen USA titleholders and the number of Libertarian votes for Senators in Georgia. The data points coalesce in a visually persuasive manner, leaving little doubt about the strength of the correlation.
In scrutinizing this seemingly bizarre association between a beauty pageant and political preferences, one cannot help but be reminded of the words of Sir Arthur Conan Doyle's famous detective: "The game is afoot!" Indeed, the unexpected linkage between these two disparate variables invokes a sense of intrigue and amusement, prompting further contemplation about the quirky intricacies of social phenomena.
The notable co-occurrence of these variables beckons further exploration, challenging conventional wisdom and teasing out unconventional insights. While this study may be taken with a grain of humor, beneath the whimsical facade lies an intriguing puzzle that merits deeper investigation. It is our hope that this lighthearted yet thought-provoking inquiry will stimulate scholarly discourse and perhaps bring a touch of levity to the often austere realm of academic research.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In summation, the relationship between the age of Miss Teen USA titleholders and the penchant for Libertarian candidates among Georgia's electorate presents a compelling enigma, akin to a riddle wrapped in a mystery inside an electoral puzzle. Our findings have unveiled an unexpected linkage, spurring murmurs of bemused curiosity among scholars and laypersons alike. The notion that the youthful exuberance and poise of Miss Teen USA may cast a subliminal influence on the voting behavior of Georgia's electorate elicits both a chuckle and a furrowed brow.

As we draw the curtains on this lighthearted expedition into the annals of unusual correlations, it becomes increasingly evident that this fanciful connection may possess a kernel of substantive insight. The robust correlation coefficient and statistically significant p-value leave little room to dismiss this curious association as a mere statistical artifact. While we may be tempted to dismiss these findings as mere serendipity, the data steadfastly refuses to acquiesce to our conventional expectations.

However, further research in this arena, though ripe with potential for mirth and amusement, would likely tread upon the realm of diminishing returns. As such, it is with a twinge of regret and a whisper of relief that we venture to assert that the time has come to bid adieu to this unlikely duo of variables and allow them to frolic in the realms of statistical oddities and electoral eccentricities.


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 Age of the Libertarian: A Teeny Influence on Senatorial Election Outcomes in Georgia. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Political Behavior and Decision Making


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 Age of the Libertarian: A Teeny Influence on Senatorial Election Outcomes in Georgia. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Ethical Economics and Political Punditry


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 Age of the Libertarian: A Teeny Influence on Senatorial Election Outcomes in Georgia with an abstract of This study was conducted to explore the relationship between the age of Miss Teen USA titleholders and the number of Libertarian votes for Senators in the state of Georgia. Utilizing data from the MIT Election Data and Science Lab, Harvard Dataverse, and Wikipedia, our research team sought to elucidate any potential connections between these seemingly unrelated variables. Our findings revealed a striking correlation coefficient of 0.8488303 with a statistically significant p-value of less than 0.01 for the years 1992 to 2020. Despite the tongue-in-cheek nature of our investigation, the data suggests that there may indeed be a curious and perhaps whimsical relationship between these two seemingly disparate elements. Further research is warranted to delve deeper into this unexpected alignment, and to explore the broader implications it may have on electoral dynamics and the influence of seemingly unrelated phenomena on political outcomes.

ChatGPT:

Miss Teen USA, Libertarian votes, Georgia, age of titleholders, correlation coefficient, statistical significance, MIT Election Data and Science Lab, Harvard Dataverse, Wikipedia, electoral dynamics, political outcomes

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



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Data details

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

Age of Miss Teen USA
Source: Wikipedia
See what else correlates with Age of Miss Teen USA

Correlation r = 0.8488303 (Pearson correlation coefficient)
Correlation is a measure of how much the variables move together. If it is 0.99, when one goes up the other goes up. If it is 0.02, the connection is very weak or non-existent. If it is -0.99, then when one goes up the other goes down. If it is 1.00, you probably messed up your correlation function.

r2 = 0.7205129 (Coefficient of determination)
This means 72.1% of the change in the one variable (i.e., Age of Miss Teen USA) is predictable based on the change in the other (i.e., Votes for Libertarian Senators in Georgia) over the 10 years from 1992 through 2020.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.0019. 0.0018958224713620459000000000
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 0.85 in 0.19% of random cases. Said differently, if you correlated 527 random variables Which I absolutely did.
with the same 9 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 9 because we have two variables measured over a period of 10 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.

[ 0.47, 0.96 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

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


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

Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
1992199619982002200420082010201420162020
Votes for Libertarian Senators in Georgia (Total votes)69878812624346727830690511279236875048862162260150470
Age of Miss Teen USA (Age Years)17181717171817171818




Why this works

  1. Data dredging: I have 25,237 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 636,906,169 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
  2. Lack of causal connection: There is probably Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
    no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
  3. Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
    p-value calculation does not take this into account, so mathematically it appears less probable than it really is.
  4. 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([69878,81262,43467,27830,69051,127923,68750,48862,162260,150470,])
array_2 = np.array([17,18,17,17,17,18,17,17,18,18,])
array_1_name = "Votes for Libertarian Senators in Georgia"
array_2_name = "Age of Miss Teen USA"

# 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)



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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.

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Correlation ID: 5394 · Black Variable ID: 26223 · Red Variable ID: 85
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