Spurious correlation #4,458 · 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 Kodi and the second variable is Libertarian votes for Senators in New Hampshire. The chart goes from 1978 to 2020, and the two variables track closely in value over that time.

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 Kodi and the second variable is Libertarian votes for Senators in New Hampshire. The chart goes from 1978 to 2020, and the two variables track closely in value over that time.

AI explanation

Perhaps every time someone named Kodi was born, a new law of nature, like gravity and the speed of light, was discovered. It's hard to resist voting for a Senator who promises to uphold the laws of Kodi-nature.

^{Show image generation prompt} Model: dalle-3
Prompt: Generate an image that captures the essence of a quaint town in New Hampshire at dusk. In the sky, fireworks of various vibrant colors burst, illuminating the surroundings with their magical glow. Below, a jubilant crowd cheers, their faces reflecting the colorful lights above. Among them, a group of enthusiastic voters proudly wear "Kodi-nature" t-shirts, standing out with their unwavering support. In the midst of it all, a senator emerges, symbolizing the promise to uphold the laws of these magical discoveries. The scene should evoke a sense of wonder and celebration at the harmony between nature and human discovery. 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 Kodi and Libertarian votes for Senators 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: A TIME magazine cover image Oragami a funny image you would see on reddit Brutalism Data cyber art
ChatGPT: Data cyber art

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 Kodi and Libertarian votes for Senators in New Hampshire, in the following situation: Perhaps every time someone named Kodi was born, a new law of nature, like gravity and the speed of light, was discovered. It's hard to resist voting for a Senator who promises to uphold the laws of Kodi-nature.. Keep the description simple.
ChatGPT: Imagine a quaint town in New Hampshire where every time a baby named Kodi is born, colorful fireworks light up the sky to celebrate the discovery of a new law of nature. Amongst the cheering crowd, a group of enthusiastic voters proudly wear "Kodi-nature" t-shirts as they support a senator who promises to uphold the laws of these magical discoveries.

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: [ Data cyber art ] and depicting this scene: Imagine a quaint town in New Hampshire where every time a baby named Kodi is born, colorful fireworks light up the sky to celebrate the discovery of a new law of nature. Amongst the cheering crowd, a group of enthusiastic voters proudly wear "Kodi-nature" t-shirts as they support a senator who promises to uphold the laws of these magical discoveries. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image that captures the essence of a quaint town in New Hampshire at dusk. In the sky, fireworks of various vibrant colors burst, illuminating the surroundings with their magical glow. Below, a jubilant crowd cheers, their faces reflecting the colorful lights above. Among them, a group of enthusiastic voters proudly wear "Kodi-nature" t-shirts, standing out with their unwavering support. In the midst of it all, a senator emerges, symbolizing the promise to uphold the laws of these magical discoveries. The scene should evoke a sense of wonder and celebration at the harmony between nature and human discovery.

*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.
^{Show prompt for explanation} 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 Kodi caused Libertarian votes for Senators in New Hampshire to increase.

AI academic paper

(Because p < 0.01)

Kodi's Libertarian Leverage: Longitudinal Links between New Hampshire Nom de Plume Popularity and Political Preferences

The Journal of Quirky Quantitative Research

Jan 2024

^{Show prompt used to generate this paper} Quick note: This sequence is long and repetitive. That's how the prompt engineering works for this one. I manage the output in Python to format it into this PDF.

Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You 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 Kodi and Libertarian votes for Senators 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 you might move on to cartoons and children's shows that you watched for research.

Here is the title and abstract of the paper:
[[TITLE]]
Kodi's Libertarian Leverage: Longitudinal Links between New Hampshire Nom de Plume Popularity and Political Preferences

[[ABSTRACT]]
This study delves into the peculiar and perplexing relationship between the prevalence of the first name Kodi and the libertarian voting tendencies of senators in the quaint state of New Hampshire. Utilizing a meticulous methodological approach, our esteemed research team sifted through vast troves of data from the US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse, spanning the years 1978 to 2020. Our analysis unveiled a staggering correlation coefficient of 0.8025789, with a p-value of less than 0.01, indicating a robust and undeniable statistical connection.

Our findings suggest that there is a compelling linkage between the popularity of the name Kodi and the proclivity for libertarian voting in the New Hampshire senatorial realm. As scholars dedicated to unearthing the unanticipated and unconventional, we speculate that the intriguing allure of the name Kodi may harbor a subliminal influence on the political predilections of inhabitants in the idyllic environs of New Hampshire. This research adds a whimsical twist to the study of political behavior and nomenclature, eliciting chuckles and contemplation in equal measure among academia and beyond.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The correlation between nomenclature and political preferences has long intrigued researchers and amused observers of human behavior. While the idea of a person’s name swaying their political leanings may seem far-fetched, the field of onomastics, or the study of names, suggests otherwise. This paper delves into the enigmatic relationship between the popularity of the first name Kodi and the libertarian voting tendencies of senators in the picturesque state of New Hampshire.
In the realm of social science, it is well-established that individuals often form impressions and make assumptions based on a person's name. Whether it's the alliteration of “Kodi the Libertarian” or the subconscious association with the Kodiak bear’s rugged independence, the name Kodi may carry subtle connotations that influence perceptions and possibly, political inclinations. It is this intersection of linguistics and political ideology that forms the crux of our investigation.
Furthermore, New Hampshire's reputation as a haven for libertarian-minded individuals adds an extra layer of intrigue to our study. The Live Free or Die state's affinity for individual autonomy and limited government intervention serves as a fitting backdrop for our exploration of the lexical undercurrents in the political landscape.
As we embark on this unconventional quest, it is our hope that this lighthearted yet rigorous inquiry will not only shed light on the idiosyncrasies of human behavior but also elicit a knowing smile from our peers in academia. With a nod to the whimsical and a dash of statistical rigor, we present our findings on the enthralling saga of Kodi’s libertarian leverage in the Granite State's political milieu.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

The perplexing nexus between nomenclature and political predilections has been a subject of curiosity and contemplation among scholars and wags alike. In "Smith et al.," the authors find that individuals often form unconscious prejudices and assumptions based on a person's name, shaping their perceptions and behaviors. Building on this foundation, we turn our attention to the statistical machinations linking the prevalence of the first name Kodi with the libertarian voting propensities of senators in New Hampshire.

Drawing from the annals of onomastics, or the study of names, the discipline suggests that the moniker 'Kodi' may wield a curious influence on individuals' political leanings. In "Doe and Jones," the authors expound upon the impact of naming conventions on human psychology, teasing out the subtle yet salient correlations between nomenclature and behavioral predispositions.

Venturing into the realm of non-fiction literature, the works of "Barbara Ehrenreich" and "Milton Friedman" offer insightful perspectives on individual autonomy and libertarian philosophy, which provide thematic resonance with our investigation. However, as we wade deeper into the seemingly whimsical terrain of name-based politics, we recognize the need to expand our inquiry to more eclectic sources.

In a curious twist, the fictitious realms of "Atlas Shrugged" by Ayn Rand and "Fahrenheit 451" by Ray Bradbury have surreptitiously crept into our scholarly purview. Although these classics may seem far removed from the empiricism of our study, their thematic resonance with libertarian ideals and the potential influence of nomenclature cannot be disregarded.

To our astonishment, the intellectual pursuit of understanding Kodi’s libertarian leverage has led us through uncharted territories. Thus, in a somewhat unorthodox research strategy, we have delved into the cartoon realm with "Yogi Bear" and children’s shows such as "Paw Patrol" to glean insights into the subtle impact of bear-themed nomenclature on political proclivities. The unexpected hilarity of this scholarly escapade has not gone unnoticed, and we aim to furnish our readers with both intellectual ponderings and mirthful interludes.

In the spirit of scholarly inquiry and a penchant for the unexpected, we tread a path less traveled in unravelling the enigmatic saga of Kodi’s libertarian leverage in the Granite State's political milieu.

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

Please make up the methodology section of an academic research paper presenting the findings of the connection between Popularity of the first name Kodi and Libertarian votes for Senators in New Hampshire. Make lots of jokes, goofy observations, and puns.

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 1978 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]]
Kodi's Libertarian Leverage: Longitudinal Links between New Hampshire Nom de Plume Popularity and Political Preferences

[[ABSTRACT]]
This study delves into the peculiar and perplexing relationship between the prevalence of the first name Kodi and the libertarian voting tendencies of senators in the quaint state of New Hampshire. Utilizing a meticulous methodological approach, our esteemed research team sifted through vast troves of data from the US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse, spanning the years 1978 to 2020. Our analysis unveiled a staggering correlation coefficient of 0.8025789, with a p-value of less than 0.01, indicating a robust and undeniable statistical connection.

Our findings suggest that there is a compelling linkage between the popularity of the name Kodi and the proclivity for libertarian voting in the New Hampshire senatorial realm. As scholars dedicated to unearthing the unanticipated and unconventional, we speculate that the intriguing allure of the name Kodi may harbor a subliminal influence on the political predilections of inhabitants in the idyllic environs of New Hampshire. This research adds a whimsical twist to the study of political behavior and nomenclature, eliciting chuckles and contemplation in equal measure among academia and beyond.

[[INTRODUCTION]]
The correlation between nomenclature and political preferences has long intrigued researchers and amused observers of human behavior. While the idea of a person’s name swaying their political leanings may seem far-fetched, the field of onomastics, or the study of names, suggests otherwise. This paper delves into the enigmatic relationship between the popularity of the first name Kodi and the libertarian voting tendencies of senators in the picturesque state of New Hampshire.
In the realm of social science, it is well-established that individuals often form impressions and make assumptions based on a person's name. Whether it's the alliteration of “Kodi the Libertarian” or the subconscious association with the Kodiak bear’s rugged independence, the name Kodi may carry subtle connotations that influence perceptions and possibly, political inclinations. It is this intersection of linguistics and political ideology that forms the crux of our investigation.
Furthermore, New Hampshire's reputation as a haven for libertarian-minded individuals adds an extra layer of intrigue to our study. The Live Free or Die state's affinity for individual autonomy and limited government intervention serves as a fitting backdrop for our exploration of the lexical undercurrents in the political landscape.
As we embark on this unconventional quest, it is our hope that this lighthearted yet rigorous inquiry will not only shed light on the idiosyncrasies of human behavior but also elicit a knowing smile from our peers in academia. With a nod to the whimsical and a dash of statistical rigor, we present our findings on the enthralling saga of Kodi’s libertarian leverage in the Granite State's political milieu.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

Data Collection:
The first step in our eccentric escapade involved the acquisition of data on the prevalence of the first name Kodi and the libertarian voting patterns of senators in the bucolic state of New Hampshire. To begin this quixotic quest, we scoured the vast plains of the internet, making a beeline for the US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse. Our data, spanning the years 1978 to 2020, offered a tantalizing trove of information ripe for analysis.

Correlation Analysis:
Having gathered this treasure trove of data, we embarked on a perilous journey through the tangled underbrush of statistical analysis. Our valiant team of researchers, equipped with calculators and a fervent devotion to decimal places, calculated the correlation coefficient between the popularity of the name Kodi and the penchant for libertarian voting among New Hampshire senators. This endeavor involved wielding formidable equations with the gravity of a grand swordsman, in a quest to unearth the hidden connections and cast aside the spurious correlations that may have sought to mislead us.

Regression Modeling:
In our fervent pursuit of knowledge, we employed the venerable tool of regression modeling to disentangle the web of variables that influence the relationship between the name Kodi and the proclivity for libertarian voting in the serene state of New Hampshire. Our team delved deep into the annals of statistical software, summoning the powers of Python, R, and other arcane tools to craft models that could withstand the tempests of skepticism and illuminate the path toward understanding this curious conundrum.

Control Variables:
To fortify the foundations of our analysis, we incorporated a host of control variables that sought to dilute the potency of lurking confounders and shield our findings from the pernicious influence of extraneous factors. With the solemnity of alchemists guarding their elixirs, we meticulously controlled for demographic characteristics, electoral dynamics, and historical geopolitical events that could have obscured the true essence of the interplay between the name Kodi and libertarian voting tendencies.

Robustness Checks:
As guardians of scientific veracity, we subjected our esteemed findings to a battery of robustness checks, aiming to fortify their resilience against the gales of skepticism and the tsunamis of statistical doubt. Our relentless pursuit of truth led us to explore alternative specifications, conduct sensitivity analyses, and scrutinize the stability of our results across epochs and epochs, all in the pursuit of empirical invincibility.

Ethical Considerations:
In our zealous fervor to uncover the mysteries of nomenclature and political predilections, we remained acutely mindful of the ethical imperatives that guide the noble pursuit of knowledge. Every data point, every statistical maneuver, and every whimsical observation in our study upheld the sanctity of ethical research conduct, ensuring that our scholarly quest remained untarnished by ethical transgressions or intellectual chicanery.

In sum, our methodological odyssey traversed the domains of data collection, correlation analysis, regression modeling, control variables, robustness checks, and ethical considerations, culminating in a quest that wove together statistical rigor and whimsical wonder in equal measure. With our intellectual sails unfurled and our statistical compass firmly in hand, we embarked on this scholarly voyage with the aim of unraveling the captivating saga of Kodi’s libertarian leverage in the Granite State's political realm.

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

Please make up the discussion section of an academic research paper presenting the findings of the connection between Popularity of the first name Kodi and Libertarian votes for Senators in New Hampshire. Make lots of jokes, goofy observations, and puns.

Limit your response to 500 tokens.

Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.

Do not write a conclusion. I will add a conclusion after this.

[[TITLE]]
Kodi's Libertarian Leverage: Longitudinal Links between New Hampshire Nom de Plume Popularity and Political Preferences

[[ABSTRACT]]
This study delves into the peculiar and perplexing relationship between the prevalence of the first name Kodi and the libertarian voting tendencies of senators in the quaint state of New Hampshire. Utilizing a meticulous methodological approach, our esteemed research team sifted through vast troves of data from the US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse, spanning the years 1978 to 2020. Our analysis unveiled a staggering correlation coefficient of 0.8025789, with a p-value of less than 0.01, indicating a robust and undeniable statistical connection.

Our findings suggest that there is a compelling linkage between the popularity of the name Kodi and the proclivity for libertarian voting in the New Hampshire senatorial realm. As scholars dedicated to unearthing the unanticipated and unconventional, we speculate that the intriguing allure of the name Kodi may harbor a subliminal influence on the political predilections of inhabitants in the idyllic environs of New Hampshire. This research adds a whimsical twist to the study of political behavior and nomenclature, eliciting chuckles and contemplation in equal measure among academia and beyond.

[[LITERATURE REVIEW]]
The perplexing nexus between nomenclature and political predilections has been a subject of curiosity and contemplation among scholars and wags alike. In "Smith et al.," the authors find that individuals often form unconscious prejudices and assumptions based on a person's name, shaping their perceptions and behaviors. Building on this foundation, we turn our attention to the statistical machinations linking the prevalence of the first name Kodi with the libertarian voting propensities of senators in New Hampshire.
Drawing from the annals of onomastics, or the study of names, the discipline suggests that the moniker 'Kodi' may wield a curious influence on individuals' political leanings. In "Doe and Jones," the authors expound upon the impact of naming conventions on human psychology, teasing out the subtle yet salient correlations between nomenclature and behavioral predispositions.
Venturing into the realm of non-fiction literature, the works of "Barbara Ehrenreich" and "Milton Friedman" offer insightful perspectives on individual autonomy and libertarian philosophy, which provide thematic resonance with our investigation. However, as we wade deeper into the seemingly whimsical terrain of name-based politics, we recognize the need to expand our inquiry to more eclectic sources.
In a curious twist, the fictitious realms of "Atlas Shrugged" by Ayn Rand and "Fahrenheit 451" by Ray Bradbury have surreptitiously crept into our scholarly purview. Although these classics may seem far removed from the empiricism of our study, their thematic resonance with libertarian ideals and the potential influence of nomenclature cannot be disregarded.
To our astonishment, the intellectual pursuit of understanding Kodi’s libertarian leverage has led us through uncharted territories. Thus, in a somewhat unorthodox research strategy, we have delved into the cartoon realm with "Yogi Bear" and children’s shows such as "Paw Patrol" to glean insights into the subtle impact of bear-themed nomenclature on political proclivities. The unexpected hilarity of this scholarly escapade has not gone unnoticed, and we aim to furnish our readers with both intellectual ponderings and mirthful interludes.
In the spirit of scholarly inquiry and a penchant for the unexpected, we tread a path less traveled in unravelling the enigmatic saga of Kodi’s libertarian leverage in the Granite State's political milieu.

[[RESULTS]]
The findings of our investigation revealed a striking correlation between the prevalence of the first name Kodi and the libertarian voting patterns of senators in the bucolic state of New Hampshire. The correlation coefficient of 0.8025789 indicated a robust and noteworthy relationship. This statistical connection, with an r-squared value of 0.6441329, defied conventional expectations and presented a compelling case for further exploration.
Notably, the p-value of less than 0.01 underscored the significance of the relationship, lending gravitas to our seemingly whimsical inquiry. This statistical evidence pointed towards a compelling linkage between the popularity of the name Kodi and the propensity for libertarian voting in the New Hampshire senatorial arena.
Fig. 1 depicts the scatterplot showcasing the pronounced correlation between the prevalence of the first name Kodi and the libertarian voting tendencies of senators. The visual representation of the data further corroborates the substantial statistical association uncovered in our analysis.
Intriguingly, the findings of this study not only underscore the unintended influence of nomenclature on political leanings but also beckon further reflection on the interplay between individual names and political ideologies. This research endeavors to insert a touch of levity into the typically austere domain of political behavioral studies, provoking both amusement and contemplation for scholars and non-academics alike.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

The veritable veracity of the connection between the popularity of the name Kodi and the libertarian voting patterns of senators in the serene state of New Hampshire has been, to put it mildly, an intellectually stimulating and hilariously convoluted rabbit hole to traverse. Our findings have proven that there is indeed a strong correlation between the prevalence of the first name Kodi and the proclivity for libertarian voting in the New Hampshire senatorial realm, thereby substantiating the prior research probing the intertwining mysteries of nomenclature and political preferences.

Our statistical revelry has lent credence to the musings of "Smith et al.," who, in a delightfully earnest fashion, had previously postulated that individuals often harbor unconscious prejudices and assumptions based on a person's name, which in turn shape their perceptions and behaviors. In a similar vein, our investigation has corroborated the intriguing proposition put forth by "Doe and Jones," hinting at the subtle yet salient correlations between nomenclature and behavioral predispositions.

More so, our research has added a whimsical twist to the scholarly pursuits of "Barbara Ehrenreich" and "Milton Friedman," whose insightful perspectives on libertarian philosophy found thematic resonance with our inquiry. In a tongue-in-cheek fashion, we must acknowledge the surreptitious intrusion of "Yogi Bear" and "Paw Patrol" into our scholarly purview, the hilarity of which, although unintentional, cannot be understated. These unexpected connections have not only tickled our intellectual fancies but have also bolstered the somewhat outlandish yet scientifically sound premise that the moniker 'Kodi' may indeed wield a curious influence on individuals' political leanings.

The robust correlation coefficient of 0.8025789, complemented by a p-value of less than 0.01, speaks volumes about the compelling linkage between the popularity of the name Kodi and the propensity for libertarian voting in the New Hampshire senatorial arena. Our results have not only defied conventional expectations but have also affirmed the pivotal role of nomenclature in shaping political ideologies, inviting both amusement and contemplation among scholars and non-academics alike.

In essence, our study has not only shed light on the unforeseen influence of nomenclature on political predilections but has also engendered a convivial atmosphere for lighthearted academic ponderings. As we venture forth in this uncharted territory of name-based politics, we do so with a spring in our step, having illuminated a previously unexplored intersection between nomenclature and political behavior, much to the delight and bemusement of academia and beyond.

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

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Popularity of the first name Kodi and Libertarian votes for Senators in New Hampshire. Make lots of jokes, goofy observations, and puns.

Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Kodi's Libertarian Leverage: Longitudinal Links between New Hampshire Nom de Plume Popularity and Political Preferences

[[ABSTRACT]]
This study delves into the peculiar and perplexing relationship between the prevalence of the first name Kodi and the libertarian voting tendencies of senators in the quaint state of New Hampshire. Utilizing a meticulous methodological approach, our esteemed research team sifted through vast troves of data from the US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse, spanning the years 1978 to 2020. Our analysis unveiled a staggering correlation coefficient of 0.8025789, with a p-value of less than 0.01, indicating a robust and undeniable statistical connection.

Our findings suggest that there is a compelling linkage between the popularity of the name Kodi and the proclivity for libertarian voting in the New Hampshire senatorial realm. As scholars dedicated to unearthing the unanticipated and unconventional, we speculate that the intriguing allure of the name Kodi may harbor a subliminal influence on the political predilections of inhabitants in the idyllic environs of New Hampshire. This research adds a whimsical twist to the study of political behavior and nomenclature, eliciting chuckles and contemplation in equal measure among academia and beyond.

[[INTRDUCTION]]
The correlation between nomenclature and political preferences has long intrigued researchers and amused observers of human behavior. While the idea of a person’s name swaying their political leanings may seem far-fetched, the field of onomastics, or the study of names, suggests otherwise. This paper delves into the enigmatic relationship between the popularity of the first name Kodi and the libertarian voting tendencies of senators in the picturesque state of New Hampshire.
In the realm of social science, it is well-established that individuals often form impressions and make assumptions based on a person's name. Whether it's the alliteration of “Kodi the Libertarian” or the subconscious association with the Kodiak bear’s rugged independence, the name Kodi may carry subtle connotations that influence perceptions and possibly, political inclinations. It is this intersection of linguistics and political ideology that forms the crux of our investigation.
Furthermore, New Hampshire's reputation as a haven for libertarian-minded individuals adds an extra layer of intrigue to our study. The Live Free or Die state's affinity for individual autonomy and limited government intervention serves as a fitting backdrop for our exploration of the lexical undercurrents in the political landscape.
As we embark on this unconventional quest, it is our hope that this lighthearted yet rigorous inquiry will not only shed light on the idiosyncrasies of human behavior but also elicit a knowing smile from our peers in academia. With a nod to the whimsical and a dash of statistical rigor, we present our findings on the enthralling saga of Kodi’s libertarian leverage in the Granite State's political milieu.

[[RESULTS]]
The findings of our investigation revealed a striking correlation between the prevalence of the first name Kodi and the libertarian voting patterns of senators in the bucolic state of New Hampshire. The correlation coefficient of 0.8025789 indicated a robust and noteworthy relationship. This statistical connection, with an r-squared value of 0.6441329, defied conventional expectations and presented a compelling case for further exploration.
Notably, the p-value of less than 0.01 underscored the significance of the relationship, lending gravitas to our seemingly whimsical inquiry. This statistical evidence pointed towards a compelling linkage between the popularity of the name Kodi and the propensity for libertarian voting in the New Hampshire senatorial arena.
Fig. 1 depicts the scatterplot showcasing the pronounced correlation between the prevalence of the first name Kodi and the libertarian voting tendencies of senators. The visual representation of the data further corroborates the substantial statistical association uncovered in our analysis.
Intriguingly, the findings of this study not only underscore the unintended influence of nomenclature on political leanings but also beckon further reflection on the interplay between individual names and political ideologies. This research endeavors to insert a touch of levity into the typically austere domain of political behavioral studies, provoking both amusement and contemplation for scholars and non-academics alike.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In concluding, the spirited saga of Kodi's libertarian leverage in New Hampshire's political arena unveils an unexpected twist in the interplay between nomenclature and political predispositions. Our study, with its statistically robust correlation coefficient and minuscule p-value, presents a compelling case, much like a persuasive politician on the campaign trail. The aura of the name Kodi seems to evoke a curious charm, akin to a siren song luring the libertarian vote, or perhaps a catchy jingle in a political ad.

The findings of this research infuse a touch of whimsy into the typically staid realm of political behavioral studies, eliciting a knowing chuckle from the scholarly community. While the notion of a name influencing political inclinations might seem like a political farce, our study underlines the nuanced influence of nomenclature. As we navigate the winding road of political nomenclature, it becomes clear that the name Kodi exerts a quixotic yet palpable influence on the political psyche of New Hampshire.

With a nod to the unexpected and a dash of statistical rigor, our research thrusts the quirky saga of Kodi's libertarian leverage into the limelight, leaving scholars and non-academics alike with a bemused smile. As we reflect on these findings, it becomes evident that no further inquiry is warranted in this intriguing, albeit lighthearted, realm of political onomastics. The tale of Kodi's libertarian leverage has been told, leaving us with a lighthearted yet enlightening anecdote in the annals of academia.

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 Kodi's Libertarian Leverage: Longitudinal Links between New Hampshire Nom de Plume Popularity and Political Preferences. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Quirky Quantitative Research

Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of nonprofit research organizations and associations. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding nonprofit, academic, or scientific association or organization that would sponsor research that resulted in a paper entited Kodi's Libertarian Leverage: Longitudinal Links between New Hampshire Nom de Plume Popularity and Political Preferences. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Political Pseudonym Studies

Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled Kodi's Libertarian Leverage: Longitudinal Links between New Hampshire Nom de Plume Popularity and Political Preferences with an abstract of This study delves into the peculiar and perplexing relationship between the prevalence of the first name Kodi and the libertarian voting tendencies of senators in the quaint state of New Hampshire. Utilizing a meticulous methodological approach, our esteemed research team sifted through vast troves of data from the US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse, spanning the years 1978 to 2020. Our analysis unveiled a staggering correlation coefficient of 0.8025789, with a p-value of less than 0.01, indicating a robust and undeniable statistical connection.

Our findings suggest that there is a compelling linkage between the popularity of the name Kodi and the proclivity for libertarian voting in the New Hampshire senatorial realm. As scholars dedicated to unearthing the unanticipated and unconventional, we speculate that the intriguing allure of the name Kodi may harbor a subliminal influence on the political predilections of inhabitants in the idyllic environs of New Hampshire. This research adds a whimsical twist to the study of political behavior and nomenclature, eliciting chuckles and contemplation in equal measure among academia and beyond.

ChatGPT:

Kodi, Libertarian, New Hampshire, Nom de Plume, Popularity, Political Preferences, Senators, US Social Security Administration, MIT Election Data and Science Lab, Harvard Dataverse, Correlation Coefficient, P-Value, Statistical Connection, Political Behavior, Nomenclature

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

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

Correlation r = 0.8025789 (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 = 0.6441329 (Coefficient of determination)
This means 64.4% of the change in the one variable (i.e., Libertarian votes for Senators in New Hampshire) is predictable based on the change in the other (i.e., Popularity of the first name Kodi) over the 11 years from 1978 through 2020.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.0029.^Show 0.0029456900438041343000000000
The p-value is a measure of how probable it is that we would randomly find a result this extreme.^Note 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 0.8 in 0.29% of random cases. Said differently, if you correlated 339 random variables^Note Which I absolutely did.
with the same 10 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 10 because we have two variables measured over a period of 11 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.

[ 0.39, 0.95 ] 95% correlation confidence interval (using the Fisher z-transformation)
^{Read more about the confidence interval} 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: ^Note 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.

	1978	1984	1990	1992	1996	1998	2002	2008	2010	2016	2020
Popularity of the first name Kodi (Babies born)	64	68	141	175	182	157	134	139	125	160	204
Libertarian votes for Senators in New Hampshire (Total votes)	2070	1094	9717	18214	22261	7603	9835	21516	4753	12597	18421

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^Note 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^Note 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. ^{Show the steps to do this.} 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([64,68,141,175,182,157,134,139,125,160,204,])
array_2 = np.array([2070,1094,9717,18214,22261,7603,9835,21516,4753,12597,18421,])
array_1_name = "Popularity of the first name Kodi"
array_2_name = "Libertarian votes for Senators 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)

Reuseable content

You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. ^Note Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.

You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.

For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."

When spoken, my last name is pronounced "vegan," like I don't eat meat.

Full license details.
For more on re-use permissions, or to get a signed release form, see tylervigen.com/permission.

Download images for these variables:

High resolution line chart ^Note The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.

If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.

Alternatively you can use a tool like Inkscape.
High resolution line chart, optimized for mobile
Alternative high resolution line chart
Scatterplot
Portable line chart (png)
Portable line chart (png), optimized for mobile
Line chart for only Popularity of the first name Kodi
Line chart for only Libertarian votes for Senators in New Hampshire
AI-generated correlation image
The spurious research paper: Kodi's Libertarian Leverage: Longitudinal Links between New Hampshire Nom de Plume Popularity and Political Preferences

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Correlation ID: 4458 · Black Variable ID: 3778 · Red Variable ID: 26279


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