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Spurious correlation #4,407 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Popularity of the first name Isaias and the second variable is Votes for the Democratic Presidential candidate in New Hampshire.  The chart goes from 1976 to 2020, and the two variables track closely in value over that time. Small Image
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AI explanation

People just couldn't resist the 'Isaias' factor, you know, like the 'eye-zaahs' of the political world. It's as if every Isaias supporter was saying, "I say, yes!" to the Democratic candidate. It's like they cast a spell at the polls, turning the state into 'Isaias-Blue-Isas.'

Model: dalle-3
Prompt: Generate an image of a cute cartoon depiction of a bustling New Hampshire street filled with 'Isaias' supporters. The scene should show a sea of 'Isaias' signs, with people wearing 'Isaias' themed clothing and accessories, casting their votes in a bright, 'Isaias' blue-hued atmosphere. The streets should be filled with cheerful and enthusiastic characters, radiating a sense of excitement and commitment to the Democratic candidate. The visual should capture the feeling of unity and support for 'Isaias' in a lighthearted and cute cartoon style. The depiction should include only scenes, people, and objects, it should not include text or speech bubbles.
This image generation prompt was also generated by AI, using the following sequence:

Model: gpt-3.5-turbo-1106
System prompt: You select one of a few potential scene descriptors that seems to go along with the variables described. You respond only with the scene descriptions provided and say nothing else.
User prompt: Here are two variables: Popularity of the first name Isaias and Votes for the Democrat Presidential candidate in New Hampshire. 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: Cute cartoon An image that looks like it is a scene from A Disney Movie Cute 2D animation Woodblock painting Cute cartoon
ChatGPT: Cute cartoon

Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both Popularity of the first name Isaias and Votes for the Democrat Presidential candidate in New Hampshire, in the following situation: People just couldn't resist the 'Isaias' factor, you know, like the 'eye-zaahs' of the political world. It's as if every Isaias supporter was saying, "I say, yes!" to the Democratic candidate. It's like they cast a spell at the polls, turning the state into 'Isaias-Blue-Isas.'. Keep the description simple.
ChatGPT: In New Hampshire, a sea of 'Isaias' signs fills the streets, as it feels like everyone is chanting "I say, yes!" The state is awash in a bright, 'Isaias' blue hue, with 'Isaias' supporters casting their votes in support of the Democratic candidate, creating an 'Isaias-Blue-Isas' atmosphere at the polls.

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: [ Cute cartoon ] and depicting this scene: In New Hampshire, a sea of 'Isaias' signs fills the streets, as it feels like everyone is chanting "I say, yes!" The state is awash in a bright, 'Isaias' blue hue, with 'Isaias' supporters casting their votes in support of the Democratic candidate, creating an 'Isaias-Blue-Isas' atmosphere at the polls. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a cute cartoon depiction of a bustling New Hampshire street filled with 'Isaias' supporters. The scene should show a sea of 'Isaias' signs, with people wearing 'Isaias' themed clothing and accessories, casting their votes in a bright, 'Isaias' blue-hued atmosphere. The streets should be filled with cheerful and enthusiastic characters, radiating a sense of excitement and commitment to the Democratic candidate. The visual should capture the feeling of unity and support for 'Isaias' in a lighthearted and cute cartoon style.

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

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

Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in Popularity of the first name Isaias caused Votes for the Democrat Presidential candidate in New Hampshire to increase. Include one good pun.

AI academic paper

(Because p < 0.01)
Isaias Name Popularity and Democratic Votes in the Granite State: An Election Analysis

Journal of Political Popularity and Social Trends

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 researcher writing an academic paper.You write titles and abstracts of goofy academic research papers.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, and add unexpected twists in your writing.

Please draft the title and abstract of an academic research paper presenting the findings of the connection between Popularity of the first name Isaias and Votes for the Democrat Presidential candidate in New Hampshire. Make lots of jokes, goofy observations, and puns.

Make the title punny if you can come up with clever pun. If not, make it sound serious.

Your research team used data from US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse to assess this nagging question. You found a correlation coefficient of 0.9873089 and p < 0.01 for 1976 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]]
Isaias Name Popularity and Democratic Votes in the Granite State: An Election Analysis

[[ABSTRACT]]
This tongue-in-cheek research delves into the correlation between the outwardly charming yet puzzlingly obscure name, Isaias, and the voting patterns for the Democratic presidential candidate in the state of New Hampshire. By merging data from the US Social Security Administration and the MIT Election Data and Science Lab, along with the Harvard Dataverse, our research team embarked on a journey to unravel this enigmatic connection. With a dazzling correlation coefficient of 0.9873089 and a p-value indicating statistical significance (p < 0.01) for the years 1976 to 2020, the findings of this study provide a poignant, albeit amusing, insight into the impact of names on political leanings. This paper aims to shed light on the lightheartedness inherent in the serious business of political science while asserting that, in the world of electoral analysis, sometimes a rose (or in this case, a name) by any other name would not smell as sweet for the donkey mascot of US politics.


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 Popularity of the first name Isaias and Votes for the Democrat Presidential candidate in New Hampshire. Make lots of 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]]
Isaias Name Popularity and Democratic Votes in the Granite State: An Election Analysis

[[ABSTRACT]]
This tongue-in-cheek research delves into the correlation between the outwardly charming yet puzzlingly obscure name, Isaias, and the voting patterns for the Democratic presidential candidate in the state of New Hampshire. By merging data from the US Social Security Administration and the MIT Election Data and Science Lab, along with the Harvard Dataverse, our research team embarked on a journey to unravel this enigmatic connection. With a dazzling correlation coefficient of 0.9873089 and a p-value indicating statistical significance (p < 0.01) for the years 1976 to 2020, the findings of this study provide a poignant, albeit amusing, insight into the impact of names on political leanings. This paper aims to shed light on the lightheartedness inherent in the serious business of political science while asserting that, in the world of electoral analysis, sometimes a rose (or in this case, a name) by any other name would not smell as sweet for the donkey mascot of US politics.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

In the realm of political analysis, there exists a curious and often overlooked factor that may sway the voting preferences of individuals: the names we are given at birth. Names, with their connotations and associations, can potentially shape our perceptions, inclinations, and even our political tendencies. With this in mind, the present study delves into the remarkable connection between the growing popularity of the first name Isaias and the Democratic votes in the historical battleground of New Hampshire. As we peer through the lenses of data and statistics, we aim to uncover the whimsical yet intriguing relationship between nomenclature and political predilections.

New Hampshire holds a cherished place in American politics, marking the beginning of the presidential primary season and often serving as a noteworthy barometer for candidate viability. On that note, it seems rather fitting that this illustrious state also plays host to the peculiar nuances of the Isaias phenomenon. This research endeavors to bring to light the whimsical interplay of name popularity and electoral behavior, adding a dash of levity to the serious business of election analysis.

Amidst the sea of robust statistical analyses and weighty political theories, this study injects a spirit of light-hearted inquiry into the discourse, maintaining that sometimes the most unexpected variables can have an outsized impact on political dynamics. So, dear reader, fasten your seatbelts and prepare to embark on a rollercoaster ride through the curious corridors of political nomenclature and democratic leanings in the Granite State - where we shall attempt to discern whether the rise of Isaias heralds a democratic dawn or simply a statistical sleight of hand.


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 Popularity of the first name Isaias and Votes for the Democrat Presidential candidate in New Hampshire. Make lots of jokes, goofy observations, and puns.

Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.

Make up the lorem and ipsum part, but make it sound related to the topic at hand.

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name a couple popular internet memes that are related to one of the topics.

Here is the title and abstract of the paper:
[[TITLE]]
Isaias Name Popularity and Democratic Votes in the Granite State: An Election Analysis

[[ABSTRACT]]
This tongue-in-cheek research delves into the correlation between the outwardly charming yet puzzlingly obscure name, Isaias, and the voting patterns for the Democratic presidential candidate in the state of New Hampshire. By merging data from the US Social Security Administration and the MIT Election Data and Science Lab, along with the Harvard Dataverse, our research team embarked on a journey to unravel this enigmatic connection. With a dazzling correlation coefficient of 0.9873089 and a p-value indicating statistical significance (p < 0.01) for the years 1976 to 2020, the findings of this study provide a poignant, albeit amusing, insight into the impact of names on political leanings. This paper aims to shed light on the lightheartedness inherent in the serious business of political science while asserting that, in the world of electoral analysis, sometimes a rose (or in this case, a name) by any other name would not smell as sweet for the donkey mascot of US politics.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
In the realm of political analysis, there exists a curious and often overlooked factor that may sway the voting preferences of individuals: the names we are given at birth. Names, with their connotations and associations, can potentially shape our perceptions, inclinations, and even our political tendencies. With this in mind, the present study delves into the remarkable connection between the growing popularity of the first name Isaias and the Democratic votes in the historical battleground of New Hampshire. As we peer through the lenses of data and statistics, we aim to uncover the whimsical yet intriguing relationship between nomenclature and political predilections.
New Hampshire holds a cherished place in American politics, marking the beginning of the presidential primary season and often serving as a noteworthy barometer for candidate viability. On that note, it seems rather fitting that this illustrious state also plays host to the peculiar nuances of the Isaias phenomenon. This research endeavors to bring to light the whimsical interplay of name popularity and electoral behavior, adding a dash of levity to the serious business of election analysis.
Amidst the sea of robust statistical analyses and weighty political theories, this study injects a spirit of light-hearted inquiry into the discourse, maintaining that sometimes the most unexpected variables can have an outsized impact on political dynamics. So, dear reader, fasten your seatbelts and prepare to embark on a rollercoaster ride through the curious corridors of political nomenclature and democratic leanings in the Granite State - where we shall attempt to discern whether the rise of Isaias heralds a democratic dawn or simply a statistical sleight of hand.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

Smith (2015) asserts that names shape our identities and perceptions, influencing various aspects of our lives, including political inclinations. The study by Doe (2018) further deepens this notion, highlighting the potential impact of names on electoral behavior. These serious and worthy contributions to the field set the stage for our investigation into the connection between the rising popularity of the name Isaias and the votes garnered by the Democratic presidential candidate in New Hampshire.

Turning to non-fiction works, "The Power of Names" by Jones (2017) explores the significance of nomenclature in societal dynamics, offering valuable insights into the potential sway of names in political contexts. Similarly, "Naming and Politics: A Comparative Analysis" by Adams and Brown (2019) provides a comprehensive examination of the intertwining of names and political affiliations, paving the way for our whimsical yet thought-provoking exploration.

In the realm of fiction, "The Name Game: A Tale of Political Intrigue" by White (2016) presents a satirical take on the influence of names in the cutthroat world of politics. Additionally, "The Democratic Dilemma: A Name-Driven Narrative" by Black (2018) playfully delves into the curious interplay of nomenclature and electoral dynamics, offering a light-hearted yet pertinent perspective.

Furthermore, popular internet memes such as "Isaias for President" and "Democratic Donkey Name-athon" have humorously highlighted the enigmatic allure of the Isaias phenomenon in political discourse, underscoring the whimsical nature of our investigation.

As we navigate through the earnest scholarship and lighthearted literary works on the influence of names on political proclivities, it becomes clear that the connection between the name Isaias and Democratic votes in New Hampshire is indeed a puzzle worthy of our attention.


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 Popularity of the first name Isaias and Votes for the Democrat Presidential candidate in New Hampshire. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse . You used data from 1976 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]]
Isaias Name Popularity and Democratic Votes in the Granite State: An Election Analysis

[[ABSTRACT]]
This tongue-in-cheek research delves into the correlation between the outwardly charming yet puzzlingly obscure name, Isaias, and the voting patterns for the Democratic presidential candidate in the state of New Hampshire. By merging data from the US Social Security Administration and the MIT Election Data and Science Lab, along with the Harvard Dataverse, our research team embarked on a journey to unravel this enigmatic connection. With a dazzling correlation coefficient of 0.9873089 and a p-value indicating statistical significance (p < 0.01) for the years 1976 to 2020, the findings of this study provide a poignant, albeit amusing, insight into the impact of names on political leanings. This paper aims to shed light on the lightheartedness inherent in the serious business of political science while asserting that, in the world of electoral analysis, sometimes a rose (or in this case, a name) by any other name would not smell as sweet for the donkey mascot of US politics.

[[INTRODUCTION]]
In the realm of political analysis, there exists a curious and often overlooked factor that may sway the voting preferences of individuals: the names we are given at birth. Names, with their connotations and associations, can potentially shape our perceptions, inclinations, and even our political tendencies. With this in mind, the present study delves into the remarkable connection between the growing popularity of the first name Isaias and the Democratic votes in the historical battleground of New Hampshire. As we peer through the lenses of data and statistics, we aim to uncover the whimsical yet intriguing relationship between nomenclature and political predilections.
New Hampshire holds a cherished place in American politics, marking the beginning of the presidential primary season and often serving as a noteworthy barometer for candidate viability. On that note, it seems rather fitting that this illustrious state also plays host to the peculiar nuances of the Isaias phenomenon. This research endeavors to bring to light the whimsical interplay of name popularity and electoral behavior, adding a dash of levity to the serious business of election analysis.
Amidst the sea of robust statistical analyses and weighty political theories, this study injects a spirit of light-hearted inquiry into the discourse, maintaining that sometimes the most unexpected variables can have an outsized impact on political dynamics. So, dear reader, fasten your seatbelts and prepare to embark on a rollercoaster ride through the curious corridors of political nomenclature and democratic leanings in the Granite State - where we shall attempt to discern whether the rise of Isaias heralds a democratic dawn or simply a statistical sleight of hand.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To unravel the mysterious connection between the burgeoning popularity of the name Isaias and the voting patterns for the Democratic presidential candidate in New Hampshire, we employed a blend of data collection, statistical analysis, and a touch of good-natured curiosity.

Data Collection:
We scoured the digital landscapes, traversing the virtual realms of the US Social Security Administration, the MIT Election Data and Science Lab, and the Harvard Dataverse, in search of the elusive strands of electoral and naming data. Armed with determination and copious amounts of caffeine, we harnessed the power of historical records from 1976 to 2020, which encapsulated the subtle dances of democracy and the ebb and flow of Isaias nomenclature.

Statistical Analysis:
Like intrepid explorers charting uncharted territories, we embraced the bracing winds of statistical analysis, employing the venerable tools of correlation and regression. With bated breath and furrowed brows, we watched as the tides of data ebbed and flowed, leading us to unveil the captivating correlation coefficient of 0.9873089. This robust association, coupled with a p-value of p < 0.01, shimmered like a jewel in the crown of our findings, asserting the statistical significance of our observations.

Convolution and Goofiness:
Now, for the part that is as mysterious as the connection between Isaias and Democratic votes, we employed a secret method known only to a select few researchers. This involved donning comically oversized magnifying glasses, sipping tea from preposterously small cups, and engaging in hearty debates about the best toppings for pineapple pizza. All this, we surmised, added a certain je ne sais quoi to the research process, infusing our endeavor with a charm and flair that only the most astute investigative methods can yield.

In the spirit of scientific camaraderie, we also undertook impromptu sing-along sessions to '80s pop hits, all in the name of fostering team morale and bolstering the resilience of our intrepid band of researchers.

In conclusion, our methodological approach has been a melange of data wrangling, statistical scrutiny, and just a hint of whimsical silliness, all in pursuit of shedding light on the enigma that is the Isaias name and its flirtations with political affiliation in the Granite State.


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 Popularity of the first name Isaias and Votes for the Democrat Presidential candidate in New Hampshire. Make lots of jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

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

For the time period 1976 to 2020, you found a correlation 0.9873089, r-squared of 0.9747789, 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]]
Isaias Name Popularity and Democratic Votes in the Granite State: An Election Analysis

[[ABSTRACT]]
This tongue-in-cheek research delves into the correlation between the outwardly charming yet puzzlingly obscure name, Isaias, and the voting patterns for the Democratic presidential candidate in the state of New Hampshire. By merging data from the US Social Security Administration and the MIT Election Data and Science Lab, along with the Harvard Dataverse, our research team embarked on a journey to unravel this enigmatic connection. With a dazzling correlation coefficient of 0.9873089 and a p-value indicating statistical significance (p < 0.01) for the years 1976 to 2020, the findings of this study provide a poignant, albeit amusing, insight into the impact of names on political leanings. This paper aims to shed light on the lightheartedness inherent in the serious business of political science while asserting that, in the world of electoral analysis, sometimes a rose (or in this case, a name) by any other name would not smell as sweet for the donkey mascot of US politics.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
In the realm of political analysis, there exists a curious and often overlooked factor that may sway the voting preferences of individuals: the names we are given at birth. Names, with their connotations and associations, can potentially shape our perceptions, inclinations, and even our political tendencies. With this in mind, the present study delves into the remarkable connection between the growing popularity of the first name Isaias and the Democratic votes in the historical battleground of New Hampshire. As we peer through the lenses of data and statistics, we aim to uncover the whimsical yet intriguing relationship between nomenclature and political predilections.
New Hampshire holds a cherished place in American politics, marking the beginning of the presidential primary season and often serving as a noteworthy barometer for candidate viability. On that note, it seems rather fitting that this illustrious state also plays host to the peculiar nuances of the Isaias phenomenon. This research endeavors to bring to light the whimsical interplay of name popularity and electoral behavior, adding a dash of levity to the serious business of election analysis.
Amidst the sea of robust statistical analyses and weighty political theories, this study injects a spirit of light-hearted inquiry into the discourse, maintaining that sometimes the most unexpected variables can have an outsized impact on political dynamics. So, dear reader, fasten your seatbelts and prepare to embark on a rollercoaster ride through the curious corridors of political nomenclature and democratic leanings in the Granite State - where we shall attempt to discern whether the rise of Isaias heralds a democratic dawn or simply a statistical sleight of hand.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The data analysis revealed a strikingly high correlation of 0.9873089 between the prevalence of the first name Isaias and votes for the Democratic presidential candidate in the state of New Hampshire. This correlation was further supported by an r-squared value of 0.9747789, indicating that a whopping 97.48% of the variance in Democratic votes can be explained by the popularity of the name Isaias. In statistical terms, the significance level computed for this relationship was p < 0.01, confirming that the correlation is not just a fluke or a statistical anomaly, but a genuine connection with political undertones.

Now, let's delve into the figures—literally. In Figure 1 (to be inserted), a scatterplot graphically depicts the robust relationship between the prevalence of the name Isaias and the Democratic vote share in the state of New Hampshire from 1976 to 2020. The figure not only showcases the correlation but also serves as a visual testament to the eyebrow-raising connection between a name and a political preference.

In a world where political analyses can often seem dry and devoid of lightheartedness, the unearthed correlation between the popularity of the name Isaias and votes for the Democratic candidate in New Hampshire lends a refreshing blend of whimsy and curiosity to the sphere of electoral dynamics. It appears that in the realm of electoral analyses, names indeed carry weight—whether this weight is lean, Democrat, or politically neutral is yet to be fully unpacked.


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 Popularity of the first name Isaias and Votes for the Democrat Presidential candidate in New Hampshire. Make lots of 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]]
Isaias Name Popularity and Democratic Votes in the Granite State: An Election Analysis

[[ABSTRACT]]
This tongue-in-cheek research delves into the correlation between the outwardly charming yet puzzlingly obscure name, Isaias, and the voting patterns for the Democratic presidential candidate in the state of New Hampshire. By merging data from the US Social Security Administration and the MIT Election Data and Science Lab, along with the Harvard Dataverse, our research team embarked on a journey to unravel this enigmatic connection. With a dazzling correlation coefficient of 0.9873089 and a p-value indicating statistical significance (p < 0.01) for the years 1976 to 2020, the findings of this study provide a poignant, albeit amusing, insight into the impact of names on political leanings. This paper aims to shed light on the lightheartedness inherent in the serious business of political science while asserting that, in the world of electoral analysis, sometimes a rose (or in this case, a name) by any other name would not smell as sweet for the donkey mascot of US politics.

[[LITERATURE REVIEW]]
Smith (2015) asserts that names shape our identities and perceptions, influencing various aspects of our lives, including political inclinations. The study by Doe (2018) further deepens this notion, highlighting the potential impact of names on electoral behavior. These serious and worthy contributions to the field set the stage for our investigation into the connection between the rising popularity of the name Isaias and the votes garnered by the Democratic presidential candidate in New Hampshire.
Turning to non-fiction works, "The Power of Names" by Jones (2017) explores the significance of nomenclature in societal dynamics, offering valuable insights into the potential sway of names in political contexts. Similarly, "Naming and Politics: A Comparative Analysis" by Adams and Brown (2019) provides a comprehensive examination of the intertwining of names and political affiliations, paving the way for our whimsical yet thought-provoking exploration.
In the realm of fiction, "The Name Game: A Tale of Political Intrigue" by White (2016) presents a satirical take on the influence of names in the cutthroat world of politics. Additionally, "The Democratic Dilemma: A Name-Driven Narrative" by Black (2018) playfully delves into the curious interplay of nomenclature and electoral dynamics, offering a light-hearted yet pertinent perspective.
Furthermore, popular internet memes such as "Isaias for President" and "Democratic Donkey Name-athon" have humorously highlighted the enigmatic allure of the Isaias phenomenon in political discourse, underscoring the whimsical nature of our investigation.
As we navigate through the earnest scholarship and lighthearted literary works on the influence of names on political proclivities, it becomes clear that the connection between the name Isaias and Democratic votes in New Hampshire is indeed a puzzle worthy of our attention.

[[RESULTS]]
The data analysis revealed a strikingly high correlation of 0.9873089 between the prevalence of the first name Isaias and votes for the Democratic presidential candidate in the state of New Hampshire. This correlation was further supported by an r-squared value of 0.9747789, indicating that a whopping 97.48% of the variance in Democratic votes can be explained by the popularity of the name Isaias. In statistical terms, the significance level computed for this relationship was p < 0.01, confirming that the correlation is not just a fluke or a statistical anomaly, but a genuine connection with political undertones.
Now, let's delve into the figures—literally. In Figure 1 (to be inserted), a scatterplot graphically depicts the robust relationship between the prevalence of the name Isaias and the Democratic vote share in the state of New Hampshire from 1976 to 2020. The figure not only showcases the correlation but also serves as a visual testament to the eyebrow-raising connection between a name and a political preference.
In a world where political analyses can often seem dry and devoid of lightheartedness, the unearthed correlation between the popularity of the name Isaias and votes for the Democratic candidate in New Hampshire lends a refreshing blend of whimsy and curiosity to the sphere of electoral dynamics. It appears that in the realm of electoral analyses, names indeed carry weight—whether this weight is lean, Democrat, or politically neutral is yet to be fully unpacked.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The results of our study have presented an astonishing correlation between the prevalence of the name Isaias and votes for the Democratic presidential candidate in New Hampshire, affirming the earlier research by Smith (2015) and Doe (2018) which postulated the influence of names on political inclinations. The high correlation coefficient and the r-squared value have validated the playful yet astute observations put forth in popular internet memes like "Isaias for President" and "Democratic Donkey Name-athon," emphasizing the unmistakable allure of the Isaias phenomenon in the political discourse.

In line with the findings of "The Name Game: A Tale of Political Intrigue" by White (2016) and "The Democratic Dilemma: A Name-Driven Narrative" by Black (2018), our research has bantered with the delicate interplay of nomenclature and electoral dynamics, ultimately unearthing the palpable impact of a name on political tendencies. The scatterplot, soon to be revealed as Figure 1, not only encapsulates the robust correlation but also serves as a visual testament to the whimsical yet substantial connection between a particular name and a political preference. It seems that in the realm of electoral analyses, names indeed carry weight, or perhaps in this case, votes.

While our research may elicit a chuckle or two, it is crucial to recognize the broader implications of our findings. The connection between the name Isaias and Democratic votes in New Hampshire underscores the intricate and often inexplicable nature of political ties, shedding light on the subtleties that shape electoral behavior. Our study has not only added a touch of levity to the serious business of political science but has also emphasized the significance of seemingly inconsequential factors in the realm of electoral analysis. After all, it appears that sometimes, a rose, or a name, can wield considerable political influence and sway, even in the Granite State.

As we carry forward our research endeavors, probing into the ramifications of unconventional parameters on electoral dynamics, let us not forget the whimsical yet telling impact of a name—be it Isaias or any other—in shaping the colorful tapestry of political affiliations.


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 Popularity of the first name Isaias and Votes for the Democrat Presidential candidate in New Hampshire. Make lots of 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]]
Isaias Name Popularity and Democratic Votes in the Granite State: An Election Analysis

[[ABSTRACT]]
This tongue-in-cheek research delves into the correlation between the outwardly charming yet puzzlingly obscure name, Isaias, and the voting patterns for the Democratic presidential candidate in the state of New Hampshire. By merging data from the US Social Security Administration and the MIT Election Data and Science Lab, along with the Harvard Dataverse, our research team embarked on a journey to unravel this enigmatic connection. With a dazzling correlation coefficient of 0.9873089 and a p-value indicating statistical significance (p < 0.01) for the years 1976 to 2020, the findings of this study provide a poignant, albeit amusing, insight into the impact of names on political leanings. This paper aims to shed light on the lightheartedness inherent in the serious business of political science while asserting that, in the world of electoral analysis, sometimes a rose (or in this case, a name) by any other name would not smell as sweet for the donkey mascot of US politics.

[[INTRDUCTION]]
In the realm of political analysis, there exists a curious and often overlooked factor that may sway the voting preferences of individuals: the names we are given at birth. Names, with their connotations and associations, can potentially shape our perceptions, inclinations, and even our political tendencies. With this in mind, the present study delves into the remarkable connection between the growing popularity of the first name Isaias and the Democratic votes in the historical battleground of New Hampshire. As we peer through the lenses of data and statistics, we aim to uncover the whimsical yet intriguing relationship between nomenclature and political predilections.
New Hampshire holds a cherished place in American politics, marking the beginning of the presidential primary season and often serving as a noteworthy barometer for candidate viability. On that note, it seems rather fitting that this illustrious state also plays host to the peculiar nuances of the Isaias phenomenon. This research endeavors to bring to light the whimsical interplay of name popularity and electoral behavior, adding a dash of levity to the serious business of election analysis.
Amidst the sea of robust statistical analyses and weighty political theories, this study injects a spirit of light-hearted inquiry into the discourse, maintaining that sometimes the most unexpected variables can have an outsized impact on political dynamics. So, dear reader, fasten your seatbelts and prepare to embark on a rollercoaster ride through the curious corridors of political nomenclature and democratic leanings in the Granite State - where we shall attempt to discern whether the rise of Isaias heralds a democratic dawn or simply a statistical sleight of hand.

[[RESULTS]]
The data analysis revealed a strikingly high correlation of 0.9873089 between the prevalence of the first name Isaias and votes for the Democratic presidential candidate in the state of New Hampshire. This correlation was further supported by an r-squared value of 0.9747789, indicating that a whopping 97.48% of the variance in Democratic votes can be explained by the popularity of the name Isaias. In statistical terms, the significance level computed for this relationship was p < 0.01, confirming that the correlation is not just a fluke or a statistical anomaly, but a genuine connection with political undertones.
Now, let's delve into the figures—literally. In Figure 1 (to be inserted), a scatterplot graphically depicts the robust relationship between the prevalence of the name Isaias and the Democratic vote share in the state of New Hampshire from 1976 to 2020. The figure not only showcases the correlation but also serves as a visual testament to the eyebrow-raising connection between a name and a political preference.
In a world where political analyses can often seem dry and devoid of lightheartedness, the unearthed correlation between the popularity of the name Isaias and votes for the Democratic candidate in New Hampshire lends a refreshing blend of whimsy and curiosity to the sphere of electoral dynamics. It appears that in the realm of electoral analyses, names indeed carry weight—whether this weight is lean, Democrat, or politically neutral is yet to be fully unpacked.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our research has unearthed a fascinating and somewhat whimsical correlation between the burgeoning popularity of the name Isaias and Democratic votes in the quintessential battleground of New Hampshire. The robust statistical evidence, with a correlation coefficient of 0.9873089 and a compelling significance level of p < 0.01, certainly raises an eyebrow, if not both. It appears that in the colorful tapestry of electoral dynamics, the name Isaias stands as a curious thread weaving its way into the fabric of political preferences.

As we navigate the often turbulent waters of political analysis, it becomes evident that sometimes the most unexpected variables can hold surprising sway, and in this case, it seems that "Isaias" holds the vote! Whether it's the lyrical quality of the name, its obscure charm, or just a statistical fluke with a slightly suspicious name, the connection between nomenclature and political leanings has certainly provided us with fodder for thought and perhaps a chuckle or two.

Alas, it seems that our journey through the labyrinth of political nomenclature in New Hampshire has reached its amusing denouement. Our findings, while undoubtedly intriguing, leave us with little doubt that the rise of Isaias indeed heralds a democratic dawn in the Granite State, or perhaps just a statistical sleight of hand. With that, we assert with great conviction (and a hint of mirth) that further research in this domain is not only unnecessary but almost certainly ill-advised. For in the realm of electoral analysis, as in life, sometimes the most unexpected connections are the ones that bring the most delight. And with that, dear reader, we bid adieu to our computational captivation with the name Isaias and its political dalliances.


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 Isaias Name Popularity and Democratic Votes in the Granite State: An Election Analysis. Respond only with the name of a fictional academic journal.

ChatGPT:

Journal of Political Popularity and Social Trends


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 Isaias Name Popularity and Democratic Votes in the Granite State: An Election Analysis. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Unconventional Social Science Research


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 Isaias Name Popularity and Democratic Votes in the Granite State: An Election Analysis with an abstract of This tongue-in-cheek research delves into the correlation between the outwardly charming yet puzzlingly obscure name, Isaias, and the voting patterns for the Democratic presidential candidate in the state of New Hampshire. By merging data from the US Social Security Administration and the MIT Election Data and Science Lab, along with the Harvard Dataverse, our research team embarked on a journey to unravel this enigmatic connection. With a dazzling correlation coefficient of 0.9873089 and a p-value indicating statistical significance (p < 0.01) for the years 1976 to 2020, the findings of this study provide a poignant, albeit amusing, insight into the impact of names on political leanings. This paper aims to shed light on the lightheartedness inherent in the serious business of political science while asserting that, in the world of electoral analysis, sometimes a rose (or in this case, a name) by any other name would not smell as sweet for the donkey mascot of US politics.

ChatGPT:

Isaias name popularity, Democratic votes, New Hampshire voting patterns, correlation between name and voting, US Social Security Administration data, MIT Election Data and Science Lab, Harvard Dataverse, correlation coefficient, statistical significance, political leanings, electoral analysis, name impact on political science, Isaias name and political leanings

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



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Data details

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

Votes for the Democratic Presidential candidate in New Hampshire
Detailed data title: Total votes cast for the Democrat Presidential candidate in New Hampshire
Source: MIT Election Data and Science Lab, Harvard Dataverse
See what else correlates with Votes for the Democratic Presidential candidate in New Hampshire

Correlation r = 0.9873089 (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 = 0.9747789 (Coefficient of determination)
This means 97.5% of the change in the one variable (i.e., Votes for the Democratic Presidential candidate in New Hampshire) is predictable based on the change in the other (i.e., Popularity of the first name Isaias) over the 12 years from 1976 through 2020.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 2.5E-9. 0.0000000025382618586162843000
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 0.99 in 2.5E-7% of random cases. Said differently, if you correlated 393,970,384 random variables You don't actually need 393 million variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.

p-value calculations are useful for understanding the probability of a result happening by chance. They are most useful when used to highlight the risk of a fluke outcome. For example, if you calculate a p-value of 0.30, the risk that the result is a fluke is high. It is good to know that! But there are lots of ways to get a p-value of less than 0.01, as evidenced by this project.

In this particular case, the values are so extreme as to be meaningless. That's why no one reports p-values with specificity after they drop below 0.01.

Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 11 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 11 because we have two variables measured over a period of 12 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.

[ 0.95, 1 ] 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.
197619801984198819921996200020042008201220162020
Popularity of the first name Isaias (Babies born)668297112178288364486550513541631
Votes for the Democratic Presidential candidate in New Hampshire (Total votes)147645108864120347163696209040246166266348340511384826369561348526424921




Why this works

  1. Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
  2. Lack of causal connection: There is probably Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
    no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
  3. Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
    p-value calculation does not take this into account, so mathematically it appears less probable than it really is.




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([66,82,97,112,178,288,364,486,550,513,541,631,])
array_2 = np.array([147645,108864,120347,163696,209040,246166,266348,340511,384826,369561,348526,424921,])
array_1_name = "Popularity of the first name Isaias"
array_2_name = "Votes for the Democratic Presidential candidate in New Hampshire"

# 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 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."

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Correlation ID: 4407 · Black Variable ID: 3299 · Red Variable ID: 26006
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