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AI explanation
As the 10th graders multiplied, so did the support for the Republican candidate, creating a 'grade' wave of influence. It's like they say, "The more, the 'mera-dole'!"
Model: dalle-3
Prompt: Generate an image of a grand high school auditorium filled with enthusiastic 10th graders, their faces illuminated with excitement as they animatedly wave "Republican candidate" posters. The space is overflowing with youthful energy, exuding a palpable sense of the influence these students hold in shaping political discourse. The scene captures the essence of a pivotal moment in Louisiana's political landscape, where the vigor of the 10th-grade student body reverberates with the burgeoning support for the Republican Presidential candidate. 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: Number of public school students in 10th grade and Votes for the Republican Presidential candidate in Louisiana. 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: High-tech Scalar art Sci-fi fantacy Magic realism A scene from Skyrim
ChatGPT: A scene from Skyrim
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 Number of public school students in 10th grade and Votes for the Republican Presidential candidate in Louisiana, in the following situation: As the 10th graders multiplied, so did the support for the Republican candidate, creating a 'grade' wave of influence. It's like they say, "The more, the 'mera-dole'!". Keep the description simple.
ChatGPT: A packed high school auditorium filled with cheering 10th graders waving "Republican candidate" posters, reflecting the growing number of public school students in 10th grade and the increasing votes for the Republican Presidential candidate in Louisiana. The energy in the room is electric as the students' support creates a wave of influence that spreads throughout the state.
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 scene from Skyrim ] and depicting this scene: A packed high school auditorium filled with cheering 10th graders waving "Republican candidate" posters, reflecting the growing number of public school students in 10th grade and the increasing votes for the Republican Presidential candidate in Louisiana. The energy in the room is electric as the students' support creates a wave of influence that spreads throughout the state. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a grand high school auditorium filled with enthusiastic 10th graders, their faces illuminated with excitement as they animatedly wave "Republican candidate" posters. The space is overflowing with youthful energy, exuding a palpable sense of the influence these students hold in shaping political discourse. The scene captures the essence of a pivotal moment in Louisiana's political landscape, where the vigor of the 10th-grade student body reverberates with the burgeoning support for the Republican Presidential candidate.
*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 Number of public school students in 10th grade caused Votes for the Republican Presidential candidate in Louisiana to increase. Include one good pun.
AI academic paper
 |
Grade and Gubernatorial Gleanings: A Correlative Compendium on 10th Grade Student Numbers and Republican Presidential Candidate Votes in Louisiana The Journal of Statistical Stratagems Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You write titles and abstracts of goofy academic research papers.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, and add unexpected twists in your writing.
Please draft the title and abstract of an academic research paper presenting the findings of the connection between Number of public school students in 10th grade and Votes for the Republican Presidential candidate in Louisiana. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Make the title punny if you can come up with clever pun. If not, just make it sound clever.
Your research team used data from National Center for Education Statistics and MIT Election Data and Science Lab, Harvard Dataverse to assess this nagging question. You found a correlation coefficient of 0.9363256 and p < 0.01 for 1990 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]]
"Grade and Gubernatorial Gleanings: A Correlative Compendium on 10th Grade Student Numbers and Republican Presidential Candidate Votes in Louisiana"
[[ABSTRACT]]
This paper presents research findings on the connection between the quantity of public school students in 10th grade and the voting trends for the Republican Presidential candidate in the distinctive state of Louisiana. Leveraging comprehensive data from the National Center for Education Statistics and the MIT Election Data and Science Lab, Harvard Dataverse, our research team elucidates an intriguing correlation coefficient of 0.9363256, with statistical significance at p < 0.01, discovered across the time span from 1990 to 2020. The implications of these computational constancies wryly provoke contemplation on the curiosities of youthful school enrollment and political preferences, igniting a fusion of empirical inquiry with a touch of levity.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft the introduction section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the introduction section of an academic research paper presenting the findings of the connection between Number of public school students in 10th grade and Votes for the Republican Presidential candidate in Louisiana. 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]]
"Grade and Gubernatorial Gleanings: A Correlative Compendium on 10th Grade Student Numbers and Republican Presidential Candidate Votes in Louisiana"
[[ABSTRACT]]
This paper presents research findings on the connection between the quantity of public school students in 10th grade and the voting trends for the Republican Presidential candidate in the distinctive state of Louisiana. Leveraging comprehensive data from the National Center for Education Statistics and the MIT Election Data and Science Lab, Harvard Dataverse, our research team elucidates an intriguing correlation coefficient of 0.9363256, with statistical significance at p < 0.01, discovered across the time span from 1990 to 2020. The implications of these computational constancies wryly provoke contemplation on the curiosities of youthful school enrollment and political preferences, igniting a fusion of empirical inquiry with a touch of levity.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
The interplay between educational demographics and political predilections has long been a subject of both scholarly intrigue and speculative chit-chat over Sunday brunch. In the specific context of the state of Louisiana, this nexus takes center stage as we endeavor to unravel the enigmatic association between the number of 10th grade students populating the hallowed halls of public schools and the electoral affinity for Republican Presidential candidates.
The innate idiosyncrasies of Louisiana's political landscape, with its gumbo of historical influences and distinct cultural tapestry, sets the stage for a captivating exploration. While the state may boast its rich musical heritage and delectable culinary delights, its electoral leanings have also been a source of perennial fascination. Through this study, we aim to unearth the covert connections between youthful academic pursuits and the whims of the voting booth.
As we embark on this academic escapade into the heartland of the Pelican State, our investigation furnishes an opportunity to delve into the peculiar alchemy of adolescent matriculation and partisan penchants. With our tongues firmly planted in our cheeks, we set out to dissect the statistical symphony that underpins this correlation, all while maintaining a scholarly semblance worthy of the Ivy League's discerning gaze.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up a literature review section of an academic research paper presenting the findings of the connection between Number of public school students in 10th grade and Votes for the Republican Presidential candidate in Louisiana. 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 couple popular internet memes that are related to one of the topics.
Here is the title and abstract of the paper:
[[TITLE]]
"Grade and Gubernatorial Gleanings: A Correlative Compendium on 10th Grade Student Numbers and Republican Presidential Candidate Votes in Louisiana"
[[ABSTRACT]]
This paper presents research findings on the connection between the quantity of public school students in 10th grade and the voting trends for the Republican Presidential candidate in the distinctive state of Louisiana. Leveraging comprehensive data from the National Center for Education Statistics and the MIT Election Data and Science Lab, Harvard Dataverse, our research team elucidates an intriguing correlation coefficient of 0.9363256, with statistical significance at p < 0.01, discovered across the time span from 1990 to 2020. The implications of these computational constancies wryly provoke contemplation on the curiosities of youthful school enrollment and political preferences, igniting a fusion of empirical inquiry with a touch of levity.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The interplay between educational demographics and political predilections has long been a subject of both scholarly intrigue and speculative chit-chat over Sunday brunch. In the specific context of the state of Louisiana, this nexus takes center stage as we endeavor to unravel the enigmatic association between the number of 10th grade students populating the hallowed halls of public schools and the electoral affinity for Republican Presidential candidates.
The innate idiosyncrasies of Louisiana's political landscape, with its gumbo of historical influences and distinct cultural tapestry, sets the stage for a captivating exploration. While the state may boast its rich musical heritage and delectable culinary delights, its electoral leanings have also been a source of perennial fascination. Through this study, we aim to unearth the covert connections between youthful academic pursuits and the whims of the voting booth.
As we embark on this academic escapade into the heartland of the Pelican State, our investigation furnishes an opportunity to delve into the peculiar alchemy of adolescent matriculation and partisan penchants. With our tongues firmly planted in our cheeks, we set out to dissect the statistical symphony that underpins this correlation, all while maintaining a scholarly semblance worthy of the Ivy League's discerning gaze.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
The exploration of the relationship between educational demographics and political inclinations has ensnared the minds of scholars and amateur ponderers alike for decades. As we delve into the curious case of Louisiana, where the jambalaya of cultural and historical elements mingle with the ballot box's political musings, a plethora of studies and inquiries have shed light on the seemingly inexplicable correlation between the number of 10th-grade students and the predilection for Republican Presidential candidates.
In "The Dynamics of Demographics and Political Attitudes" by Smith et al., the authors scrutinize the intricate interplay of educational levels and party preferences, providing a foundation for our own exploratory endeavors. Doe's "Cross-Sectional Analysis of Youthful Academic Enrollment and Electoral Tendencies" presents a poignant narrative on the nuances of youth participation in electoral processes, laying a groundwork for our own gleaning of insights.
Beyond the realm of rigid academia, the real-world implications of our topic find resonance in "Educational Statistics and Political Landscapes" by Jones. The confluence of 10th grade student numbers and political proclivities, seemingly disparate at first glance, is exemplified by the eloquent prose of the aforementioned work, urging a contemplation on the multifarious dynamics at play.
Amidst the trappings of non-fiction literature, fictional works such as "The Election Equation: From Classrooms to Campaign Trails" and "High School Hues: Exploring Political Pigments in Adolescent Academia" present a whimsical tapestry of hypothetical situations, albeit with subtle echoes of the very reality we seek to unravel.
Bolstering our scholarly pursuits with traces of internet-borne levity, the omnipresent "Mathematical Mysteries" meme and the "Political Punditry in Pigtails" meme underscore the multidimensional perspectives on the intersection of statistical conjecture and youthful enthusiasm.
As we pivot from the solemnity of empirical inquiry to the frontier of witticisms and scholarly jocularity, the convoluted correlation between 10th-grade student numbers and Republican Presidential candidate votes in Louisiana beckons our attention, all while enticing a ponderous smile.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft the methodology section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the methodology section of an academic research paper presenting the findings of the connection between Number of public school students in 10th grade and Votes for the Republican Presidential candidate in Louisiana. 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 National Center for Education Statistics and MIT Election Data and Science Lab, Harvard Dataverse . You used data from 1990 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]]
"Grade and Gubernatorial Gleanings: A Correlative Compendium on 10th Grade Student Numbers and Republican Presidential Candidate Votes in Louisiana"
[[ABSTRACT]]
This paper presents research findings on the connection between the quantity of public school students in 10th grade and the voting trends for the Republican Presidential candidate in the distinctive state of Louisiana. Leveraging comprehensive data from the National Center for Education Statistics and the MIT Election Data and Science Lab, Harvard Dataverse, our research team elucidates an intriguing correlation coefficient of 0.9363256, with statistical significance at p < 0.01, discovered across the time span from 1990 to 2020. The implications of these computational constancies wryly provoke contemplation on the curiosities of youthful school enrollment and political preferences, igniting a fusion of empirical inquiry with a touch of levity.
[[INTRODUCTION]]
The interplay between educational demographics and political predilections has long been a subject of both scholarly intrigue and speculative chit-chat over Sunday brunch. In the specific context of the state of Louisiana, this nexus takes center stage as we endeavor to unravel the enigmatic association between the number of 10th grade students populating the hallowed halls of public schools and the electoral affinity for Republican Presidential candidates.
The innate idiosyncrasies of Louisiana's political landscape, with its gumbo of historical influences and distinct cultural tapestry, sets the stage for a captivating exploration. While the state may boast its rich musical heritage and delectable culinary delights, its electoral leanings have also been a source of perennial fascination. Through this study, we aim to unearth the covert connections between youthful academic pursuits and the whims of the voting booth.
As we embark on this academic escapade into the heartland of the Pelican State, our investigation furnishes an opportunity to delve into the peculiar alchemy of adolescent matriculation and partisan penchants. With our tongues firmly planted in our cheeks, we set out to dissect the statistical symphony that underpins this correlation, all while maintaining a scholarly semblance worthy of the Ivy League's discerning gaze.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To disentangle the convoluted conundrum of correlations between the number of 10th grade students in public schools and votes for the Republican Presidential candidate in Louisiana, we embarked on a methodical quest blending statistical rigor with a dash of mirth. Our data gathering journey commenced in the hallowed halls of the National Center for Education Statistics and the MIT Election Data and Science Lab, Harvard Dataverse, where a treasure trove of information awaited our inquisitive perusal.
The primary ingredient in our cauldron of computational concoctions was the number of 10th grade students in public schools, a numerical nugget gleaned from the annals of educational databases spanning the years 1990 to 2020. This pursuit involved meticulously poring over enrollment figures from the sprawling bayous of southern Louisiana to the moss-draped corridors of the northern parishes, all the while maintaining a steely focus amidst the siren song of Mardi Gras merrymaking.
On the political frontier, our intrepid band of researchers delved into the intricate labyrinth of presidential voting trends, particularly focusing on the resounding reverberations of Republican preference throughout the Pelican State. Armed with data meticulously curated from election archives, we deftly navigated through campaign trails and ballot boxes, untangling the web of voting patterns with the dexterity of a bayou fisherman casting his net.
Once our data trove was assembled, we summoned the quirky power of statistical software to concoct the elixir of correlation coefficients and p-values, summoning forth the arcane incantations of linear regression analyses and chi-square tests. Like modern-day wizards, we wielded our programming wands to extract the hidden patterns shrouded within the sea of numbers, all the while avoiding the temptation to dabble in the dark arts of data manipulation.
As our findings coalesced into a coherent tapestry of intriguing insights, we unveiled the tantalizing correlation coefficient of 0.9363256, a numerical enigma reflecting the eerie alignment between 10th grade student numbers and the siren call of Republican ballots. With statistical significance at p < 0.01, our discovery cast a whimsical spell of astonishment, leaving scholarly observers with raised eyebrows and a tinge of bemused incredulity.
In sifting through the numerically dense underbrush of our data expedition, we kept our gaze steady and our interpretations deft, recognizing the necessary balance between empirical exactitude and a touch of scholarly playfulness. With the stage set and the curtains drawn, we unveil the empirical spectacle of academic inquiry intertwined with the mirthful musings inherent to any mercurial research endeavor.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft the results section of an academic research paper. You speak in the past tense (you found...).
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the results section of an academic research paper presenting the findings of the connection between Number of public school students in 10th grade and Votes for the Republican Presidential candidate in Louisiana. 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 National Center for Education Statistics and MIT Election Data and Science Lab, Harvard Dataverse .
For the time period 1990 to 2020, you found a correlation 0.9363256, r-squared of 0.8767056, 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]]
"Grade and Gubernatorial Gleanings: A Correlative Compendium on 10th Grade Student Numbers and Republican Presidential Candidate Votes in Louisiana"
[[ABSTRACT]]
This paper presents research findings on the connection between the quantity of public school students in 10th grade and the voting trends for the Republican Presidential candidate in the distinctive state of Louisiana. Leveraging comprehensive data from the National Center for Education Statistics and the MIT Election Data and Science Lab, Harvard Dataverse, our research team elucidates an intriguing correlation coefficient of 0.9363256, with statistical significance at p < 0.01, discovered across the time span from 1990 to 2020. The implications of these computational constancies wryly provoke contemplation on the curiosities of youthful school enrollment and political preferences, igniting a fusion of empirical inquiry with a touch of levity.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
The interplay between educational demographics and political predilections has long been a subject of both scholarly intrigue and speculative chit-chat over Sunday brunch. In the specific context of the state of Louisiana, this nexus takes center stage as we endeavor to unravel the enigmatic association between the number of 10th grade students populating the hallowed halls of public schools and the electoral affinity for Republican Presidential candidates.
The innate idiosyncrasies of Louisiana's political landscape, with its gumbo of historical influences and distinct cultural tapestry, sets the stage for a captivating exploration. While the state may boast its rich musical heritage and delectable culinary delights, its electoral leanings have also been a source of perennial fascination. Through this study, we aim to unearth the covert connections between youthful academic pursuits and the whims of the voting booth.
As we embark on this academic escapade into the heartland of the Pelican State, our investigation furnishes an opportunity to delve into the peculiar alchemy of adolescent matriculation and partisan penchants. With our tongues firmly planted in our cheeks, we set out to dissect the statistical symphony that underpins this correlation, all while maintaining a scholarly semblance worthy of the Ivy League's discerning gaze.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The analysis of the data extracted from the National Center for Education Statistics and the MIT Election Data and Science Lab, Harvard Dataverse has unveiled a remarkably robust correlation between the number of public school students in 10th grade and the votes cast for the Republican Presidential candidate in Louisiana. The correlation coefficient of 0.9363256 indicates a strong positive relationship between these variables, while the r-squared value of 0.8767056 suggests that approximately 87.67% of the variance in the voting patterns can be explained by the number of 10th grade students. Our findings also revealed a statistically significant relationship, with a p-value of less than 0.01, emphasizing the reliability of the observed association.
The scatterplot presented in Fig. 1 visually encapsulates the salient correlation, depicting the upward trend between the two variables. While we certainly don't want to jump to any hasty conclusions, one can't help but marvel at the intriguing dance between the educational demography of 10th graders and the political sway towards the Republican candidate in the Bayou State. It's like watching a high-stakes game of tug-of-war, but with numbers and ballots instead of ropes.
The elucidation of this empirical entwining of 10th grade students and political preferences serves as a testament to the capricious, yet eerily harmonious, symphony of societal dynamics. As we peel back the layers of this statistical onion, we are reminded that the world of data analysis is both an elegant tango and an enigma wrapped in a conundrum. The correlation we unearthed raises amusing questions about whether math classes may inadvertently lead to an affinity for a certain political party. Perhaps it’s the allure of factorization and quadratic equations that sways the minds of these young scholars towards a particular ideology.
In conclusion, our rigorous exploration into the relationship between the number of 10th grade students and Republican Presidential candidate votes in Louisiana sheds light on the quizzical interplay between education and political allegiance. These findings whimsically beckon us to ponder the curious rhythms of youth and voting inclinations, all while donning the polished lenses of academic inquiry.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the discussion section of an academic research paper presenting the findings of the connection between Number of public school students in 10th grade and Votes for the Republican Presidential candidate in Louisiana. 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]]
"Grade and Gubernatorial Gleanings: A Correlative Compendium on 10th Grade Student Numbers and Republican Presidential Candidate Votes in Louisiana"
[[ABSTRACT]]
This paper presents research findings on the connection between the quantity of public school students in 10th grade and the voting trends for the Republican Presidential candidate in the distinctive state of Louisiana. Leveraging comprehensive data from the National Center for Education Statistics and the MIT Election Data and Science Lab, Harvard Dataverse, our research team elucidates an intriguing correlation coefficient of 0.9363256, with statistical significance at p < 0.01, discovered across the time span from 1990 to 2020. The implications of these computational constancies wryly provoke contemplation on the curiosities of youthful school enrollment and political preferences, igniting a fusion of empirical inquiry with a touch of levity.
[[LITERATURE REVIEW]]
The exploration of the relationship between educational demographics and political inclinations has ensnared the minds of scholars and amateur ponderers alike for decades. As we delve into the curious case of Louisiana, where the jambalaya of cultural and historical elements mingle with the ballot box's political musings, a plethora of studies and inquiries have shed light on the seemingly inexplicable correlation between the number of 10th-grade students and the predilection for Republican Presidential candidates.
In "The Dynamics of Demographics and Political Attitudes" by Smith et al., the authors scrutinize the intricate interplay of educational levels and party preferences, providing a foundation for our own exploratory endeavors. Doe's "Cross-Sectional Analysis of Youthful Academic Enrollment and Electoral Tendencies" presents a poignant narrative on the nuances of youth participation in electoral processes, laying a groundwork for our own gleaning of insights.
Beyond the realm of rigid academia, the real-world implications of our topic find resonance in "Educational Statistics and Political Landscapes" by Jones. The confluence of 10th grade student numbers and political proclivities, seemingly disparate at first glance, is exemplified by the eloquent prose of the aforementioned work, urging a contemplation on the multifarious dynamics at play.
Amidst the trappings of non-fiction literature, fictional works such as "The Election Equation: From Classrooms to Campaign Trails" and "High School Hues: Exploring Political Pigments in Adolescent Academia" present a whimsical tapestry of hypothetical situations, albeit with subtle echoes of the very reality we seek to unravel.
Bolstering our scholarly pursuits with traces of internet-borne levity, the omnipresent "Mathematical Mysteries" meme and the "Political Punditry in Pigtails" meme underscore the multidimensional perspectives on the intersection of statistical conjecture and youthful enthusiasm.
As we pivot from the solemnity of empirical inquiry to the frontier of witticisms and scholarly jocularity, the convoluted correlation between 10th-grade student numbers and Republican Presidential candidate votes in Louisiana beckons our attention, all while enticing a ponderous smile.
[[RESULTS]]
The analysis of the data extracted from the National Center for Education Statistics and the MIT Election Data and Science Lab, Harvard Dataverse has unveiled a remarkably robust correlation between the number of public school students in 10th grade and the votes cast for the Republican Presidential candidate in Louisiana. The correlation coefficient of 0.9363256 indicates a strong positive relationship between these variables, while the r-squared value of 0.8767056 suggests that approximately 87.67% of the variance in the voting patterns can be explained by the number of 10th grade students. Our findings also revealed a statistically significant relationship, with a p-value of less than 0.01, emphasizing the reliability of the observed association.
The scatterplot presented in Fig. 1 visually encapsulates the salient correlation, depicting the upward trend between the two variables. While we certainly don't want to jump to any hasty conclusions, one can't help but marvel at the intriguing dance between the educational demography of 10th graders and the political sway towards the Republican candidate in the Bayou State. It's like watching a high-stakes game of tug-of-war, but with numbers and ballots instead of ropes.
The elucidation of this empirical entwining of 10th grade students and political preferences serves as a testament to the capricious, yet eerily harmonious, symphony of societal dynamics. As we peel back the layers of this statistical onion, we are reminded that the world of data analysis is both an elegant tango and an enigma wrapped in a conundrum. The correlation we unearthed raises amusing questions about whether math classes may inadvertently lead to an affinity for a certain political party. Perhaps it’s the allure of factorization and quadratic equations that sways the minds of these young scholars towards a particular ideology.
In conclusion, our rigorous exploration into the relationship between the number of 10th grade students and Republican Presidential candidate votes in Louisiana sheds light on the quizzical interplay between education and political allegiance. These findings whimsically beckon us to ponder the curious rhythms of youth and voting inclinations, all while donning the polished lenses of academic inquiry.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The results of our inquiry undeniably echo the sentiments of prior scholarship, substantiating the existence of a substantial correlation between the quantity of 10th-grade students in public schools and the inclination to cast votes for the Republican Presidential candidate in Louisiana. Akin to the resounding symphonies described in Doe's "Cross-Sectional Analysis of Youthful Academic Enrollment and Electoral Tendencies," our findings provide compelling harmony to the narrative of educational demographics melding with political proclivities. It's almost as if the equation of youthful academic enrollment and electoral tendencies has been definitively solved, with a cheeky wink to the ebullient implications of a well-rounded education influencing political preferences, for better or for worse.
The whimsy of our discoveries is not lost on the academically-inclined observer. As we muse upon the data-driven merriment that emanates from our correlation coefficient, one can't help but wonder if the quadratic equations and geometric proofs swirling in the classrooms of these 10th-grade students could be surreptitiously swaying their political compass. Was Euclid secretly a political strategist in disguise, orchestrating the dance between theorems and ballots? The mind boggles at the thought of algebraic equations whispering political allegiances into the ears of impressionable scholars.
Our study, encapsulating the capricious dance of correlation through the utilitarian lens of computational constancy, invites us to partake in the revelry of statistical tango and societal symphony. From the serious musings of scholarly inquiry to the lighthearted levity of academia, the correlation between 10th-grade student numbers and Republican Presidential candidate votes in Louisiana emerges as a compelling tableau of statistical oddities and political whims. It beckons us to don our metaphorical Indiana Jones hats and embark on an intellectual adventure, equipped with statistical tools and a jest for jocularity.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft the discussion section of goofy academic research papers that sounds like it belongs based on the title and abstract provided.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up a short conclusion of an academic research paper presenting the findings of the connection between Number of public school students in 10th grade and Votes for the Republican Presidential candidate in Louisiana. 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]]
"Grade and Gubernatorial Gleanings: A Correlative Compendium on 10th Grade Student Numbers and Republican Presidential Candidate Votes in Louisiana"
[[ABSTRACT]]
This paper presents research findings on the connection between the quantity of public school students in 10th grade and the voting trends for the Republican Presidential candidate in the distinctive state of Louisiana. Leveraging comprehensive data from the National Center for Education Statistics and the MIT Election Data and Science Lab, Harvard Dataverse, our research team elucidates an intriguing correlation coefficient of 0.9363256, with statistical significance at p < 0.01, discovered across the time span from 1990 to 2020. The implications of these computational constancies wryly provoke contemplation on the curiosities of youthful school enrollment and political preferences, igniting a fusion of empirical inquiry with a touch of levity.
[[INTRDUCTION]]
The interplay between educational demographics and political predilections has long been a subject of both scholarly intrigue and speculative chit-chat over Sunday brunch. In the specific context of the state of Louisiana, this nexus takes center stage as we endeavor to unravel the enigmatic association between the number of 10th grade students populating the hallowed halls of public schools and the electoral affinity for Republican Presidential candidates.
The innate idiosyncrasies of Louisiana's political landscape, with its gumbo of historical influences and distinct cultural tapestry, sets the stage for a captivating exploration. While the state may boast its rich musical heritage and delectable culinary delights, its electoral leanings have also been a source of perennial fascination. Through this study, we aim to unearth the covert connections between youthful academic pursuits and the whims of the voting booth.
As we embark on this academic escapade into the heartland of the Pelican State, our investigation furnishes an opportunity to delve into the peculiar alchemy of adolescent matriculation and partisan penchants. With our tongues firmly planted in our cheeks, we set out to dissect the statistical symphony that underpins this correlation, all while maintaining a scholarly semblance worthy of the Ivy League's discerning gaze.
[[RESULTS]]
The analysis of the data extracted from the National Center for Education Statistics and the MIT Election Data and Science Lab, Harvard Dataverse has unveiled a remarkably robust correlation between the number of public school students in 10th grade and the votes cast for the Republican Presidential candidate in Louisiana. The correlation coefficient of 0.9363256 indicates a strong positive relationship between these variables, while the r-squared value of 0.8767056 suggests that approximately 87.67% of the variance in the voting patterns can be explained by the number of 10th grade students. Our findings also revealed a statistically significant relationship, with a p-value of less than 0.01, emphasizing the reliability of the observed association.
The scatterplot presented in Fig. 1 visually encapsulates the salient correlation, depicting the upward trend between the two variables. While we certainly don't want to jump to any hasty conclusions, one can't help but marvel at the intriguing dance between the educational demography of 10th graders and the political sway towards the Republican candidate in the Bayou State. It's like watching a high-stakes game of tug-of-war, but with numbers and ballots instead of ropes.
The elucidation of this empirical entwining of 10th grade students and political preferences serves as a testament to the capricious, yet eerily harmonious, symphony of societal dynamics. As we peel back the layers of this statistical onion, we are reminded that the world of data analysis is both an elegant tango and an enigma wrapped in a conundrum. The correlation we unearthed raises amusing questions about whether math classes may inadvertently lead to an affinity for a certain political party. Perhaps it’s the allure of factorization and quadratic equations that sways the minds of these young scholars towards a particular ideology.
In conclusion, our rigorous exploration into the relationship between the number of 10th grade students and Republican Presidential candidate votes in Louisiana sheds light on the quizzical interplay between education and political allegiance. These findings whimsically beckon us to ponder the curious rhythms of youth and voting inclinations, all while donning the polished lenses of academic inquiry.
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Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In the illustrious annals of academic scholarship, our expedition into the correlation between 10th grade student numbers and Republican Presidential candidate votes in Louisiana stands as a compelling opus, coupling statistical rigor with a dash of whimsy. The robust correlation coefficient of 0.9363256, akin to finding the perfect balance between jambalaya's spicy kick and its savory notes, underscores the unmistakable link between youthful academic abundance and political leanings in the Bayou State. With statistical significance at p < 0.01, this correlation emerges as inconspicuous as a bayou alligator, yet as formidable as a high-stakes game of poker.
As we wrap up this investigation, the evocative dance of educational demographics and electoral affinities lingers in the air like the lingering notes of a jazz melody. While this correlation may seem as surprising as a sudden Mardi Gras parade, we must acknowledge that no further research is needed in this colorful avenue of inquiry. Our findings playfully prod at the intersection of scholarly inquiry and the foibles of life, leaving us with a lingering question: does a surge in 10th-grade populousness augur a red-tinted ballot box? Perhaps the academic precincts and political arenas share a closer bond than meets the eye, as intertwined as the strands of Spanish moss on a Louisiana oak.
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 Grade and Gubernatorial Gleanings: A Correlative Compendium on 10th Grade Student Numbers and Republican Presidential Candidate Votes in Louisiana. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Statistical Stratagems
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 Grade and Gubernatorial Gleanings: A Correlative Compendium on 10th Grade Student Numbers and Republican Presidential Candidate Votes in Louisiana. Respond only with the name of a fictional organization.
ChatGPT:
The Quixotic Institute for Academic Eccentricities
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 Grade and Gubernatorial Gleanings: A Correlative Compendium on 10th Grade Student Numbers and Republican Presidential Candidate Votes in Louisiana with an abstract of This paper presents research findings on the connection between the quantity of public school students in 10th grade and the voting trends for the Republican Presidential candidate in the distinctive state of Louisiana. Leveraging comprehensive data from the National Center for Education Statistics and the MIT Election Data and Science Lab, Harvard Dataverse, our research team elucidates an intriguing correlation coefficient of 0.9363256, with statistical significance at p < 0.01, discovered across the time span from 1990 to 2020. The implications of these computational constancies wryly provoke contemplation on the curiosities of youthful school enrollment and political preferences, igniting a fusion of empirical inquiry with a touch of levity.
ChatGPT:
Louisiana 10th grade student numbers, Republican Presidential candidate votes, Louisiana voting trends, correlation coefficient, National Center for Education Statistics, MIT Election Data and Science Lab, Harvard Dataverse, school enrollment and political preferences, empirical inquiry
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
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Data details
Number of public school students in 10th gradeDetailed data title: 10th grade enrollment in public elementary and secondary schools
Source: National Center for Education Statistics
See what else correlates with Number of public school students in 10th grade
Votes for the Republican Presidential candidate in Louisiana
Detailed data title: Percentage of all votes cast for the Republican Presidential candidate in Louisiana
Source: MIT Election Data and Science Lab, Harvard Dataverse
See what else correlates with Votes for the Republican Presidential candidate in Louisiana
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 = 0.8767056 (Coefficient of determination)
This means 87.7% of the change in the one variable (i.e., Votes for the Republican Presidential candidate in Louisiana) is predictable based on the change in the other (i.e., Number of public school students in 10th grade) over the 8 years from 1990 through 2020.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.00061. 0.0006149786883816810000000000
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 0.94 in 0.061% of random cases. Said differently, if you correlated 1,626 random variables Which I absolutely did.
with the same 7 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 7 because we have two variables measured over a period of 8 years. It's just the number of years minus ( the number of variables minus one ), which in this case simplifies to the number of years minus one.
you would randomly expect to find a correlation as strong as this one.
[ 0.68, 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.
| 1992 | 1996 | 2000 | 2004 | 2008 | 2012 | 2016 | 2020 | |
| Number of public school students in 10th grade (Students) | 3027270 | 3323170 | 3491010 | 3750490 | 3822200 | 3729960 | 3859680 | 3893790 |
| Votes for the Republican Presidential candidate in Louisiana (Percentage of votes) | 40.9709 | 39.9441 | 52.5511 | 56.722 | 58.5627 | 57.7846 | 58.0887 | 58.4609 |
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([3027270,3323170,3491010,3750490,3822200,3729960,3859680,3893790,])
array_2 = np.array([40.9709,39.9441,52.5511,56.722,58.5627,57.7846,58.0887,58.4609,])
array_1_name = "Number of public school students in 10th grade"
array_2_name = "Votes for the Republican Presidential candidate in Louisiana"
# 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
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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."
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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 Number of public school students in 10th grade
- Line chart for only Votes for the Republican Presidential candidate in Louisiana
- AI-generated correlation image
- The spurious research paper: Grade and Gubernatorial Gleanings: A Correlative Compendium on 10th Grade Student Numbers and Republican Presidential Candidate Votes in Louisiana
Thanks for being the explorer we needed!
Correlation ID: 5249 · Black Variable ID: 1308 · Red Variable ID: 26105
