AI explanation
As the number of babies named Nautica grew, so did the demand for yacht rock, leading to more private boat parties on the Jackson River, and ultimately, an increase in air pollution from all the smooth sailing shenanigans. Remember, it's all fun and games until the air quality index starts requesting autographs!
Model: dalle-3
Prompt: Create an image of a bustling Jackson street adorned with cutesy graphics, featuring numerous people sporting nautical-themed outfits. The background showcases factories billowing thick smoke into the air, all rendered in a charming and whimsical 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 Nautica and Air pollution in Jackson. 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 funny image macro Cutsy graphics Hyper-realistic Sci-fi fantacy a meme
ChatGPT: Cutsy graphics
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 Nautica and Air pollution in Jackson, in the following situation: Because the increasing popularity of the first name Nautica led to a surge in demand for nautical-themed clothing, more factories were built to keep up with production. These factories emitted harmful pollutants into the air, contributing to air pollution in Jackson. It's a classic case of Nautica's rise making waves in the fashion industry, but causing a different kind of wave in the air quality of the city.. Keep the description simple.
ChatGPT: A crowded street in Jackson with many people wearing nautical-themed clothing, and factories in the background emitting thick smoke into the air.
Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ Cutsy graphics ] and depicting this scene: A crowded street in Jackson with many people wearing nautical-themed clothing, and factories in the background emitting thick smoke into the air. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Create an image of a bustling Jackson street adorned with cutesy graphics, featuring numerous people sporting nautical-themed outfits. The background showcases factories billowing thick smoke into the air, all rendered in a charming and whimsical 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.
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 increases in Popularity of the first name Nautica positively influenced Air pollution in Jackson. Add a funny one-liner at the end.
AI academic paper
 |
Breath of Fresh Air: A Correlation Between Nautica Popularity and Air Pollution in Jackson The Journal of Ecological Oddities Jan 2024 |
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 Nautica and Air pollution in Jackson. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Make the title a clever pun.
Your research team used data from US Social Security Administration and Environmental Protection Agency to assess this nagging question. You found a correlation coefficient of 0.8888545 and p < 0.01 for 1992 to 2022.
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]]
"Breath of Fresh Air: A Correlation Between Nautica Popularity and Air Pollution in Jackson"
[[ABSTRACT]]
This study delves into a curiously cunning correlation between the burgeoning popularity of the first name "Nautica" and the lamentable levels of air pollution in Jackson. Using data excavated from the US Social Security Administration and the Environmental Protection Agency, we examined the statistical connection between the rise of the moniker "Nautica" and the density of airborne pollutants in the esteemed locale of Jackson. Our findings revealed a striking correlation coefficient of 0.8888545 and a p-value less than 0.01 for the time period spanning from 1992 to 2022. The implications of this correlation are manifold and, to our surprise, extend beyond mere nautical references and an affinity for fresh ocean air. We blueprint the hitherto overlooked link betwixt nautical nomenclature and atmospheric pollution, igniting a discourse on the unforeseen influences of appellations on environmental quality.
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 Nautica and Air pollution in Jackson. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
Here is the title and abstract of the paper:
[[TITLE]]
"Breath of Fresh Air: A Correlation Between Nautica Popularity and Air Pollution in Jackson"
[[ABSTRACT]]
This study delves into a curiously cunning correlation between the burgeoning popularity of the first name "Nautica" and the lamentable levels of air pollution in Jackson. Using data excavated from the US Social Security Administration and the Environmental Protection Agency, we examined the statistical connection between the rise of the moniker "Nautica" and the density of airborne pollutants in the esteemed locale of Jackson. Our findings revealed a striking correlation coefficient of 0.8888545 and a p-value less than 0.01 for the time period spanning from 1992 to 2022. The implications of this correlation are manifold and, to our surprise, extend beyond mere nautical references and an affinity for fresh ocean air. We blueprint the hitherto overlooked link betwixt nautical nomenclature and atmospheric pollution, igniting a discourse on the unforeseen influences of appellations on environmental quality.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
INTRODUCTION
Names hold a unique and oftentimes unexplored influence on various aspects of our lives, from social interactions to career prospects. However, the potential impact of names on environmental conditions has largely escaped the probing gaze of scientific inquiry. In this study, we embark on a whimsical journey to unravel the enigmatic relationship between the proliferation of the name "Nautica" and the atmospheric composition of Jackson, a city teeming with statistical intrigue and a smattering of pseudo-nautical charm.
Venturing into uncharted territories where empirical data meets salty wordplay, we aim to dissect the unexpected intersection of nautical nomenclature and the ambient air quality of Jackson. Through meticulous statistical analysis and a touch of tongue-in-cheek whim, we aim to buoy the spirits of both the research community and aficionados of quirky correlations.
As we delve into the briny depths of this correlation, we recognize the potential for skepticism and raise eyebrows, much like a ship navigating choppy waters. Nevertheless, armed with the splendid arsenal of statistical tools and a penchant for puns, we chart our course to unravel the intricacies of this seemingly preposterous connection. If nothing else, we aim to make waves in the academic community and perhaps elicit a chuckle or two along the way.
Join us on this quixotic quest as we set sail, figuratively of course, through the waves of data and the gusts of statistical significance to unravel the tale of "Nautica" and the nebulous odyssey of air pollution in Jackson. Let us navigate this sea of statistical abundance to uncover the whimsy beneath the waves and emerge, ever buoyant, with newfound insights and, hopefully, a few memorable puns.
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 Nautica and Air pollution in Jackson. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.
Make up the lorem and ipsum part, but make it sound related to the topic at hand.
Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name a few real TV shows that sound like they might be relevant to the topic that you watched as research.
Here is the title and abstract of the paper:
[[TITLE]]
"Breath of Fresh Air: A Correlation Between Nautica Popularity and Air Pollution in Jackson"
[[ABSTRACT]]
This study delves into a curiously cunning correlation between the burgeoning popularity of the first name "Nautica" and the lamentable levels of air pollution in Jackson. Using data excavated from the US Social Security Administration and the Environmental Protection Agency, we examined the statistical connection between the rise of the moniker "Nautica" and the density of airborne pollutants in the esteemed locale of Jackson. Our findings revealed a striking correlation coefficient of 0.8888545 and a p-value less than 0.01 for the time period spanning from 1992 to 2022. The implications of this correlation are manifold and, to our surprise, extend beyond mere nautical references and an affinity for fresh ocean air. We blueprint the hitherto overlooked link betwixt nautical nomenclature and atmospheric pollution, igniting a discourse on the unforeseen influences of appellations on environmental quality.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
INTRODUCTION
Names hold a unique and oftentimes unexplored influence on various aspects of our lives, from social interactions to career prospects. However, the potential impact of names on environmental conditions has largely escaped the probing gaze of scientific inquiry. In this study, we embark on a whimsical journey to unravel the enigmatic relationship between the proliferation of the name "Nautica" and the atmospheric composition of Jackson, a city teeming with statistical intrigue and a smattering of pseudo-nautical charm.
Venturing into uncharted territories where empirical data meets salty wordplay, we aim to dissect the unexpected intersection of nautical nomenclature and the ambient air quality of Jackson. Through meticulous statistical analysis and a touch of tongue-in-cheek whim, we aim to buoy the spirits of both the research community and aficionados of quirky correlations.
As we delve into the briny depths of this correlation, we recognize the potential for skepticism and raise eyebrows, much like a ship navigating choppy waters. Nevertheless, armed with the splendid arsenal of statistical tools and a penchant for puns, we chart our course to unravel the intricacies of this seemingly preposterous connection. If nothing else, we aim to make waves in the academic community and perhaps elicit a chuckle or two along the way.
Join us on this quixotic quest as we set sail, figuratively of course, through the waves of data and the gusts of statistical significance to unravel the tale of "Nautica" and the nebulous odyssey of air pollution in Jackson. Let us navigate this sea of statistical abundance to uncover the whimsy beneath the waves and emerge, ever buoyant, with newfound insights and, hopefully, a few memorable puns.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
The connection between the popularity of the first name "Nautica" and the levels of air pollution in the evocative locale of Jackson has, until now, remained largely uncharted territory within the annals of research. Smith (2010) and Doe (2015) have conducted extensive studies on the impact of personal nomenclature in various domains, shedding light on the multifaceted implications of appellations. However, the specific correlation between the ascent of "Nautica" as a favored moniker and the inhalation of airborne pollutants has predominantly escaped systematic inquiry.
Furthermore, Jones (2018) argues that environmental influences permeate various facets of human existence, from social behavior to academic performance. In a similar vein, the interplay of personal nomenclature and environmental contexts warrants thoughtful consideration, as it may portend far-reaching implications for individuals and communities alike. As such, our study seeks to bridge the apparent chasm between the seemingly whimsical choice of the name "Nautica" and the solemn realities of atmospheric contamination in Jackson.
Turning the tide to non-fiction literary sources, "The Air Pollution Solution" by Adams (2019) provides a comprehensive overview of air quality concerns, albeit lacking any mention of nautical names. Additionally, "Ocean Troubles" by Brown (2017) touches upon the struggles of marine ecosystems, hinting at a tangential relationship to our thematic pursuit. On a more poetic note, "Sea Breezes and Smoggy Skies" by Taylor (2015) presents an introspective examination of the juxtaposition between maritime allure and urban pollution.
Delving into the realm of fiction, Jules Verne's "Twenty Thousand Leagues Under the Sea" and Patrick O'Brian's "Master and Commander" may initially seem unrelated to our study; however, the maritime themes within these literary works harbor an undercurrent of relevance to the discourse at hand. These fictional narratives, replete with maritime motifs and tempestuous voyages, offer glimpses of the allure of nautical elements that permeate cultural consciousness.
In the spirit of thorough inquiry, the authors have also considered several television programs with potential relevance to our investigation. "The Deadliest Catch" and "SpongeBob SquarePants" – despite their ostensibly disparate subject matters – carry undercurrents of marine themes that provide a tenuous link to our exploration. While these shows may not directly address the correlation between nautical nomenclature and airborne pollutants, their maritime milieu cannot be entirely discounted in a study that navigates the intersection of whimsy and empirical inquiry.
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 Nautica and Air pollution in Jackson. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
Your research team collected data from all across the internet, but mostly just used information from US Social Security Administration and Environmental Protection Agency . You used data from 1992 to 2022
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]]
"Breath of Fresh Air: A Correlation Between Nautica Popularity and Air Pollution in Jackson"
[[ABSTRACT]]
This study delves into a curiously cunning correlation between the burgeoning popularity of the first name "Nautica" and the lamentable levels of air pollution in Jackson. Using data excavated from the US Social Security Administration and the Environmental Protection Agency, we examined the statistical connection between the rise of the moniker "Nautica" and the density of airborne pollutants in the esteemed locale of Jackson. Our findings revealed a striking correlation coefficient of 0.8888545 and a p-value less than 0.01 for the time period spanning from 1992 to 2022. The implications of this correlation are manifold and, to our surprise, extend beyond mere nautical references and an affinity for fresh ocean air. We blueprint the hitherto overlooked link betwixt nautical nomenclature and atmospheric pollution, igniting a discourse on the unforeseen influences of appellations on environmental quality.
[[INTRODUCTION]]
INTRODUCTION
Names hold a unique and oftentimes unexplored influence on various aspects of our lives, from social interactions to career prospects. However, the potential impact of names on environmental conditions has largely escaped the probing gaze of scientific inquiry. In this study, we embark on a whimsical journey to unravel the enigmatic relationship between the proliferation of the name "Nautica" and the atmospheric composition of Jackson, a city teeming with statistical intrigue and a smattering of pseudo-nautical charm.
Venturing into uncharted territories where empirical data meets salty wordplay, we aim to dissect the unexpected intersection of nautical nomenclature and the ambient air quality of Jackson. Through meticulous statistical analysis and a touch of tongue-in-cheek whim, we aim to buoy the spirits of both the research community and aficionados of quirky correlations.
As we delve into the briny depths of this correlation, we recognize the potential for skepticism and raise eyebrows, much like a ship navigating choppy waters. Nevertheless, armed with the splendid arsenal of statistical tools and a penchant for puns, we chart our course to unravel the intricacies of this seemingly preposterous connection. If nothing else, we aim to make waves in the academic community and perhaps elicit a chuckle or two along the way.
Join us on this quixotic quest as we set sail, figuratively of course, through the waves of data and the gusts of statistical significance to unravel the tale of "Nautica" and the nebulous odyssey of air pollution in Jackson. Let us navigate this sea of statistical abundance to uncover the whimsy beneath the waves and emerge, ever buoyant, with newfound insights and, hopefully, a few memorable puns.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
METHODOLOGY
In navigating the treacherous waters of statistical analysis, we embarked on a voyage that led us to the realm of methodological examination. Our approach was akin to navigating a ship through stormy seas, employing a combination of archival research and statistical wizardry to uncover the elusive connection between the rise of the moniker "Nautica" and the atmospheric composition of Jackson.
Data Collection and Preparation
Our research team scoured the virtual seascape, harnessing the data from the US Social Security Administration and the Environmental Protection Agency as our primary sources. From the tumultuous waves of internet archives, we extracted the annual counts of newborns bestowed with the name "Nautica" from 1992 to 2022. This endeavor required navigating through countless digital currents, braving the occasional data wave, and resisting the siren call of irrelevant statistics.
Simultaneously, we harnessed the prevailing winds of empirical data from the Environmental Protection Agency, capturing the tumultuous tides of air pollution levels in Jackson across the same time span. We meticulously extracted records of atmospheric pollutants, navigating the database reefs with unwavering resolve and the occasional wordplay-induced chuckle.
Statistical Analysis
With our data sails billowing and set, we set our sights on charting a course towards quantifying the relationship between the popularity of "Nautica" and air pollution in Jackson. Undertaking a statistical voyage that would make even the most seasoned numbers navigator envious, we employed a barrage of techniques including correlation analysis, regression modeling, and time series decomposition.
By calculating the correlation coefficient and wielding the impressive double-edged sword of p-values, we sought to ascertain the strength and significance of the relationship between our two variables. Like a ship’s compass guiding us through the choppy statistical seas, we employed hypothesis testing to determine whether the observed correlations were the product of mere chance or were, in fact, buoyed by substantive evidence.
Exploratory Data Analysis
To better comprehend the undulating landscape of our variables, we conducted exploratory data analysis, delving into the churning depths of trend analysis and seasonality decomposition. Our aim was to uncover the undulating patterns that lie beneath the seemingly placid surface of our data, unveiling the ebb and flow of nautical nomenclature and atmospheric composition.
In support of our cause, we also sought the guidance of robust statistical software, leveraging its myriad tools and functions to navigate the tempestuous waters of data visualization and trend identification. With each statistical plot and table, we lifted the murky veil that obscured the relationship between "Nautica" and air quality, revealing a narrative that unfolded much like a nautical fable, complete with its twists, turns, and occasional comedic relief.
In conclusion, our methodological voyage was not without its challenges and occasional turbulence. Yet, armed with unwavering determination and a penchant for nautical puns, we set our sights on unveiling the correlation between the name "Nautica" and the atmospheric constitution of Jackson, ultimately unearthing a correlation of surprising strength and significance. Our scientific odyssey has shone a light on the uncharted depths of nautical nomenclature and its unexpected influence on environmental conditions, expanding the horizons of scientific inquiry in both methodological rigor and occasional punnery.
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 Nautica and Air pollution in Jackson. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
Your research team collected data from all across the internet, but mostly just used information from US Social Security Administration and Environmental Protection Agency .
For the time period 1992 to 2022, you found a correlation 0.8888545, r-squared of 0.7900623, 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]]
"Breath of Fresh Air: A Correlation Between Nautica Popularity and Air Pollution in Jackson"
[[ABSTRACT]]
This study delves into a curiously cunning correlation between the burgeoning popularity of the first name "Nautica" and the lamentable levels of air pollution in Jackson. Using data excavated from the US Social Security Administration and the Environmental Protection Agency, we examined the statistical connection between the rise of the moniker "Nautica" and the density of airborne pollutants in the esteemed locale of Jackson. Our findings revealed a striking correlation coefficient of 0.8888545 and a p-value less than 0.01 for the time period spanning from 1992 to 2022. The implications of this correlation are manifold and, to our surprise, extend beyond mere nautical references and an affinity for fresh ocean air. We blueprint the hitherto overlooked link betwixt nautical nomenclature and atmospheric pollution, igniting a discourse on the unforeseen influences of appellations on environmental quality.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
INTRODUCTION
Names hold a unique and oftentimes unexplored influence on various aspects of our lives, from social interactions to career prospects. However, the potential impact of names on environmental conditions has largely escaped the probing gaze of scientific inquiry. In this study, we embark on a whimsical journey to unravel the enigmatic relationship between the proliferation of the name "Nautica" and the atmospheric composition of Jackson, a city teeming with statistical intrigue and a smattering of pseudo-nautical charm.
Venturing into uncharted territories where empirical data meets salty wordplay, we aim to dissect the unexpected intersection of nautical nomenclature and the ambient air quality of Jackson. Through meticulous statistical analysis and a touch of tongue-in-cheek whim, we aim to buoy the spirits of both the research community and aficionados of quirky correlations.
As we delve into the briny depths of this correlation, we recognize the potential for skepticism and raise eyebrows, much like a ship navigating choppy waters. Nevertheless, armed with the splendid arsenal of statistical tools and a penchant for puns, we chart our course to unravel the intricacies of this seemingly preposterous connection. If nothing else, we aim to make waves in the academic community and perhaps elicit a chuckle or two along the way.
Join us on this quixotic quest as we set sail, figuratively of course, through the waves of data and the gusts of statistical significance to unravel the tale of "Nautica" and the nebulous odyssey of air pollution in Jackson. Let us navigate this sea of statistical abundance to uncover the whimsy beneath the waves and emerge, ever buoyant, with newfound insights and, hopefully, a few memorable puns.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
Our investigation into the nexus of nautical nomenclature and atmospheric pollutants in Jackson revealed a remarkable correlation between the popularity of the first name "Nautica" and the levels of air pollution. The correlation coefficient of 0.8888545 distinctly pointed to a strong positive relationship, indicating that as the prevalence of the name "Nautica" increased, so did the concentration of airborne contaminants in the vicinity. The compelling r-squared value of 0.7900623 underscored the robustness of this association, explaining approximately 79% of the variance in air pollution levels based on the fluctuations in the frequency of the name "Nautica."
Fig. 1 presents a scatterplot illustrating the resounding correlation observed between the two variables. As the frequency of the name "Nautica" surged, the ambient air quality in Jackson experienced a perceptible decline, painting a vivid picture of the interconnectedness between nautical names and the atmospheric environment.
Remarkably, the statistical significance of this correlation, denoted by a p-value of less than 0.01, firmly anchored the validity of our findings. The implications of this unexpected correlation invite contemplation on the subtle influences of nomenclature on environmental conditions, transcending traditional statistical paradigms into a whimsical realm of wordplay and atmospheric whimsy.
In essence, our results elucidate a peculiar bond between the popularity of the name "Nautica" and the atmospheric ambiance in Jackson. Beyond mere statistical intrigue, this correlation navigates uncharted waters, bringing to light the unforeseen influence of appellations on environmental dynamics and showcasing the unassuming impact of nautical whimsy on air quality.
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 Nautica and Air pollution in Jackson. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
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]]
"Breath of Fresh Air: A Correlation Between Nautica Popularity and Air Pollution in Jackson"
[[ABSTRACT]]
This study delves into a curiously cunning correlation between the burgeoning popularity of the first name "Nautica" and the lamentable levels of air pollution in Jackson. Using data excavated from the US Social Security Administration and the Environmental Protection Agency, we examined the statistical connection between the rise of the moniker "Nautica" and the density of airborne pollutants in the esteemed locale of Jackson. Our findings revealed a striking correlation coefficient of 0.8888545 and a p-value less than 0.01 for the time period spanning from 1992 to 2022. The implications of this correlation are manifold and, to our surprise, extend beyond mere nautical references and an affinity for fresh ocean air. We blueprint the hitherto overlooked link betwixt nautical nomenclature and atmospheric pollution, igniting a discourse on the unforeseen influences of appellations on environmental quality.
[[LITERATURE REVIEW]]
The connection between the popularity of the first name "Nautica" and the levels of air pollution in the evocative locale of Jackson has, until now, remained largely uncharted territory within the annals of research. Smith (2010) and Doe (2015) have conducted extensive studies on the impact of personal nomenclature in various domains, shedding light on the multifaceted implications of appellations. However, the specific correlation between the ascent of "Nautica" as a favored moniker and the inhalation of airborne pollutants has predominantly escaped systematic inquiry.
Furthermore, Jones (2018) argues that environmental influences permeate various facets of human existence, from social behavior to academic performance. In a similar vein, the interplay of personal nomenclature and environmental contexts warrants thoughtful consideration, as it may portend far-reaching implications for individuals and communities alike. As such, our study seeks to bridge the apparent chasm between the seemingly whimsical choice of the name "Nautica" and the solemn realities of atmospheric contamination in Jackson.
Turning the tide to non-fiction literary sources, "The Air Pollution Solution" by Adams (2019) provides a comprehensive overview of air quality concerns, albeit lacking any mention of nautical names. Additionally, "Ocean Troubles" by Brown (2017) touches upon the struggles of marine ecosystems, hinting at a tangential relationship to our thematic pursuit. On a more poetic note, "Sea Breezes and Smoggy Skies" by Taylor (2015) presents an introspective examination of the juxtaposition between maritime allure and urban pollution.
Delving into the realm of fiction, Jules Verne's "Twenty Thousand Leagues Under the Sea" and Patrick O'Brian's "Master and Commander" may initially seem unrelated to our study; however, the maritime themes within these literary works harbor an undercurrent of relevance to the discourse at hand. These fictional narratives, replete with maritime motifs and tempestuous voyages, offer glimpses of the allure of nautical elements that permeate cultural consciousness.
In the spirit of thorough inquiry, the authors have also considered several television programs with potential relevance to our investigation. "The Deadliest Catch" and "SpongeBob SquarePants" – despite their ostensibly disparate subject matters – carry undercurrents of marine themes that provide a tenuous link to our exploration. While these shows may not directly address the correlation between nautical nomenclature and airborne pollutants, their maritime milieu cannot be entirely discounted in a study that navigates the intersection of whimsy and empirical inquiry.
[[RESULTS]]
Our investigation into the nexus of nautical nomenclature and atmospheric pollutants in Jackson revealed a remarkable correlation between the popularity of the first name "Nautica" and the levels of air pollution. The correlation coefficient of 0.8888545 distinctly pointed to a strong positive relationship, indicating that as the prevalence of the name "Nautica" increased, so did the concentration of airborne contaminants in the vicinity. The compelling r-squared value of 0.7900623 underscored the robustness of this association, explaining approximately 79% of the variance in air pollution levels based on the fluctuations in the frequency of the name "Nautica."
Fig. 1 presents a scatterplot illustrating the resounding correlation observed between the two variables. As the frequency of the name "Nautica" surged, the ambient air quality in Jackson experienced a perceptible decline, painting a vivid picture of the interconnectedness between nautical names and the atmospheric environment.
Remarkably, the statistical significance of this correlation, denoted by a p-value of less than 0.01, firmly anchored the validity of our findings. The implications of this unexpected correlation invite contemplation on the subtle influences of nomenclature on environmental conditions, transcending traditional statistical paradigms into a whimsical realm of wordplay and atmospheric whimsy.
In essence, our results elucidate a peculiar bond between the popularity of the name "Nautica" and the atmospheric ambiance in Jackson. Beyond mere statistical intrigue, this correlation navigates uncharted waters, bringing to light the unforeseen influence of appellations on environmental dynamics and showcasing the unassuming impact of nautical whimsy on air quality.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The findings of our study corroborate the observations of previous research regarding the intricate interplay between personal nomenclature and environmental conditions. While initial skepticism may have been warranted in regarding the purported connection between the ascent of the name "Nautica" and the prevalence of airborne pollutants, our results decidedly affirm the existence of a compelling relationship.
Smith's (2010) seminal work on the influence of names and societal perceptions takes on renewed significance in light of our study, as the surge in "Nautica" as a favored name is now shown to coalesce with a concurrent surge in air pollution. Furthermore, Doe's (2015) thorough exploration of the multifaceted implications of appellations gains a new dimension when we consider the unsuspected impact of nautical nomenclature on the atmospheric environment. It appears that the whimsical choice of personal names may harbor hidden implications that extend beyond the customary confines of social connotations.
Though the initial wave of astonishment at the correlation coefficient of 0.8888545 and the compelling p-value less than 0.01 may have suggested an improbable connection between "Nautica" and atmospheric pollutants, our results unequivocally attest to the validity of this link. The robust r-squared value of 0.7900623 further underscores the substantial influence of the name "Nautica" on atmospheric dynamics, accounting for a substantial 79% of the variance in air pollution levels. Such striking statistical rigor hints at the intricate complexities of seemingly innocuous nautical nomenclature and its unforeseen influence on environmental conditions.
Moreover, while it may have seemed whimsical to draw parallels between the surge of "Nautica" and the pernicious presence of pollutants, our study has charted an unexplored territory that transcends the traditional bounds of empirical inquiry. The integration of literary and televised marine motifs into our investigation, once regarded as playful diversions, now serves as a testament to the multifaceted influences of cultural symbolism on environmental phenomena.
In conclusion (not the actual conclusion), our study has voyaged into uncharted waters, revealing a previously undetected current between the popularity of "Nautica" and the atmospheric ambience in Jackson. The unanticipated correlations illuminated by our investigation endeavor to expand the horizons of empirical inquiry, navigating the whimsical realm of nomenclature and environmental whimsy.
Subsequent research avenues may attempt to delve deeper into the underlying mechanisms that underpin the observed connection, potentially uncovering a treasure trove of insights into the unexpected ramifications of nautical nomenclature on environmental quality. With this newfound understanding, we have not merely scratched the surface but have embarked on a journey toward a deeper comprehension of the captivating interplay between personal nomenclature and atmospheric dynamics.
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 Nautica and Air pollution in Jackson. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.
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]]
"Breath of Fresh Air: A Correlation Between Nautica Popularity and Air Pollution in Jackson"
[[ABSTRACT]]
This study delves into a curiously cunning correlation between the burgeoning popularity of the first name "Nautica" and the lamentable levels of air pollution in Jackson. Using data excavated from the US Social Security Administration and the Environmental Protection Agency, we examined the statistical connection between the rise of the moniker "Nautica" and the density of airborne pollutants in the esteemed locale of Jackson. Our findings revealed a striking correlation coefficient of 0.8888545 and a p-value less than 0.01 for the time period spanning from 1992 to 2022. The implications of this correlation are manifold and, to our surprise, extend beyond mere nautical references and an affinity for fresh ocean air. We blueprint the hitherto overlooked link betwixt nautical nomenclature and atmospheric pollution, igniting a discourse on the unforeseen influences of appellations on environmental quality.
[[INTRDUCTION]]
INTRODUCTION
Names hold a unique and oftentimes unexplored influence on various aspects of our lives, from social interactions to career prospects. However, the potential impact of names on environmental conditions has largely escaped the probing gaze of scientific inquiry. In this study, we embark on a whimsical journey to unravel the enigmatic relationship between the proliferation of the name "Nautica" and the atmospheric composition of Jackson, a city teeming with statistical intrigue and a smattering of pseudo-nautical charm.
Venturing into uncharted territories where empirical data meets salty wordplay, we aim to dissect the unexpected intersection of nautical nomenclature and the ambient air quality of Jackson. Through meticulous statistical analysis and a touch of tongue-in-cheek whim, we aim to buoy the spirits of both the research community and aficionados of quirky correlations.
As we delve into the briny depths of this correlation, we recognize the potential for skepticism and raise eyebrows, much like a ship navigating choppy waters. Nevertheless, armed with the splendid arsenal of statistical tools and a penchant for puns, we chart our course to unravel the intricacies of this seemingly preposterous connection. If nothing else, we aim to make waves in the academic community and perhaps elicit a chuckle or two along the way.
Join us on this quixotic quest as we set sail, figuratively of course, through the waves of data and the gusts of statistical significance to unravel the tale of "Nautica" and the nebulous odyssey of air pollution in Jackson. Let us navigate this sea of statistical abundance to uncover the whimsy beneath the waves and emerge, ever buoyant, with newfound insights and, hopefully, a few memorable puns.
[[RESULTS]]
Our investigation into the nexus of nautical nomenclature and atmospheric pollutants in Jackson revealed a remarkable correlation between the popularity of the first name "Nautica" and the levels of air pollution. The correlation coefficient of 0.8888545 distinctly pointed to a strong positive relationship, indicating that as the prevalence of the name "Nautica" increased, so did the concentration of airborne contaminants in the vicinity. The compelling r-squared value of 0.7900623 underscored the robustness of this association, explaining approximately 79% of the variance in air pollution levels based on the fluctuations in the frequency of the name "Nautica."
Fig. 1 presents a scatterplot illustrating the resounding correlation observed between the two variables. As the frequency of the name "Nautica" surged, the ambient air quality in Jackson experienced a perceptible decline, painting a vivid picture of the interconnectedness between nautical names and the atmospheric environment.
Remarkably, the statistical significance of this correlation, denoted by a p-value of less than 0.01, firmly anchored the validity of our findings. The implications of this unexpected correlation invite contemplation on the subtle influences of nomenclature on environmental conditions, transcending traditional statistical paradigms into a whimsical realm of wordplay and atmospheric whimsy.
In essence, our results elucidate a peculiar bond between the popularity of the name "Nautica" and the atmospheric ambiance in Jackson. Beyond mere statistical intrigue, this correlation navigates uncharted waters, bringing to light the unforeseen influence of appellations on environmental dynamics and showcasing the unassuming impact of nautical whimsy on air quality.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
CONCLUSION
In the wake of our whimsical exploration, the confluence of nautical nomenclature and atmospheric pollution offers a captivating tale that heaves with statistical significance and perhaps a sea shanty or two. The resounding correlation between the burgeoning popularity of the name "Nautica" and the lamentable levels of air pollution in Jackson has unveiled a quirky connection transcending traditional scientific boundaries. This unexpected alliance of nautical whimsy and atmospheric ambiance has, dare we say, made quite the splash in the research community, leaving us buoyant with newfound insights and a penchant for punny wordplay.
As we navigate the uncharted waters of nomenclatural influence on environmental dynamics, it is clear that this correlation has unearthed unforeseen depths of whimsy and wordplay in the realm of statistical analysis. The conspicuous link between the rise of "Nautica" and the decline of air quality in Jackson paints a vivid picture of the enigmatic interplay between names and nature, drawing attention to the unexpected influence of appellations on atmospheric conditions. The implications of this correlation extend beyond statistical intrigue, treading lightly into the realm of serendipitous lexical whimsy, and providing a breath of fresh air for future explorations in this domain.
Yet, as we hoist the sails of statistical significance and bid adieu to this captivating correlation, it becomes evident that further research in this area may lead to diminishing returns. The wind in our academic sails propels us to new and uncharted research territories, where the siren call of serendipitous statistical findings beckons. However, for the time being, we rest on the buoyant waves of our unexpected insights, leaving behind a legacy of delightful statistical surprise and a deep-seated appreciation for the whimsy that can be unearthed in the most unlikely of correlations.
In conclusion, it is evident that the proliferation of the name "Nautica" and the atmospheric composition of Jackson have embarked on a nautically themed statistical odyssey, leaving a legacy of whimsical surprise and the occasional pun in the annals of scientific inquiry. As the harbor of this correlation regresses from view, we can confidently state that no more research is needed in this area - or should we say, "knot-ica"?
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 Breath of Fresh Air: A Correlation Between Nautica Popularity and Air Pollution in Jackson. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Ecological Oddities
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 Breath of Fresh Air: A Correlation Between Nautica Popularity and Air Pollution in Jackson. Respond only with the name of a fictional organization.
ChatGPT:
The Society for Nautical and Environmental Research Analysis
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 Breath of Fresh Air: A Correlation Between Nautica Popularity and Air Pollution in Jackson with an abstract of This study delves into a curiously cunning correlation between the burgeoning popularity of the first name "Nautica" and the lamentable levels of air pollution in Jackson. Using data excavated from the US Social Security Administration and the Environmental Protection Agency, we examined the statistical connection between the rise of the moniker "Nautica" and the density of airborne pollutants in the esteemed locale of Jackson. Our findings revealed a striking correlation coefficient of 0.8888545 and a p-value less than 0.01 for the time period spanning from 1992 to 2022. The implications of this correlation are manifold and, to our surprise, extend beyond mere nautical references and an affinity for fresh ocean air. We blueprint the hitherto overlooked link betwixt nautical nomenclature and atmospheric pollution, igniting a discourse on the unforeseen influences of appellations on environmental quality.
ChatGPT:
"Nautica popularity," "air pollution correlation," "Jackson air quality," "US Social Security Administration data," "Environmental Protection Agency findings," "nautical nomenclature impact on environment," "correlation coefficient significance," "atmospheric pollution analysis"
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
Discover a new correlation
View all correlations
View all research papers
Report an error
Data details
Popularity of the first name NauticaDetailed data title: Babies of all sexes born in the US named Nautica
Source: US Social Security Administration
See what else correlates with Popularity of the first name Nautica
Air pollution in Jackson
Detailed data title: Percentage of days with air quality at 'unhealthy for sensitive groups' or worse in Jackson, MS
Source: Environmental Protection Agency
See what else correlates with Air pollution in Jackson
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 = 0.7900623 (Coefficient of determination)
This means 79% of the change in the one variable (i.e., Air pollution in Jackson) is predictable based on the change in the other (i.e., Popularity of the first name Nautica) over the 31 years from 1992 through 2022.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 2.4E-11. 0.0000000000242563673165605600
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 0.89 in 2.4E-9% of random cases. Said differently, if you correlated 41,226,288,626 random variables You don't actually need 41 billion 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 30 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 30 because we have two variables measured over a period of 31 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.
[ 0.78, 0.95 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.
This one is a bit more complciated than the other calculations, but I include it because many people have been pushing for confidence intervals instead of p-value calculations (for example: NEJM. However, if you are dredging data, you can reliably find yourself in the 5%. That's my goal!
All values for the years included above: If I were being very sneaky, I could trim years from the beginning or end of the datasets to increase the correlation on some pairs of variables. I don't do that because there are already plenty of correlations in my database without monkeying with the years.
Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
| 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | |
| Popularity of the first name Nautica (Babies born) | 15 | 33 | 55 | 83 | 142 | 212 | 224 | 262 | 177 | 173 | 141 | 106 | 84 | 84 | 68 | 44 | 50 | 45 | 26 | 22 | 17 | 19 | 27 | 18 | 23 | 24 | 24 | 28 | 18 | 17 | 9 |
| Air pollution in Jackson (Bad air quality days) | 3.22581 | 2.19178 | 2.46575 | 3.28767 | 4.91803 | 5.20548 | 9.0411 | 7.94521 | 9.83607 | 5.20548 | 2.73973 | 2.73973 | 1.63934 | 3.0137 | 3.28767 | 1.36986 | 0.558659 | 0.289855 | 0.276243 | 1.91781 | 0.819672 | 0 | 0.273973 | 0 | 0 | 0 | 0.273973 | 0 | 0.273224 | 0 | 0.547945 |
Why this works
- Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
- Lack of causal connection: There is probably
Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied. - Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple
Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is. - Outlandish outliers: There are "outliers" in this data.
In concept, "outlier" just means "way different than the rest of your dataset." When calculating a correlation like this, they are particularly impactful because a single outlier can substantially increase your correlation.
For the purposes of this project, I counted a point as an outlier if it the residual was two standard deviations from the mean.
(This bullet point only shows up in the details page on charts that do, in fact, have outliers.)
They stand out on the scatterplot above: notice the dots that are far away from any other dots. I intentionally mishandeled outliers, which makes the correlation look extra strong.
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([15,33,55,83,142,212,224,262,177,173,141,106,84,84,68,44,50,45,26,22,17,19,27,18,23,24,24,28,18,17,9,])
array_2 = np.array([3.22581,2.19178,2.46575,3.28767,4.91803,5.20548,9.0411,7.94521,9.83607,5.20548,2.73973,2.73973,1.63934,3.0137,3.28767,1.36986,0.558659,0.289855,0.276243,1.91781,0.819672,0,0.273973,0,0,0,0.273973,0,0.273224,0,0.547945,])
array_1_name = "Popularity of the first name Nautica"
array_2_name = "Air pollution in Jackson"
# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)
# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)Reuseable content
You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.
For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."
When spoken, my last name is pronounced "vegan," like I don't eat meat.
Full license details.
For more on re-use permissions, or to get a signed release form, see tylervigen.com/permission.
Download images for these variables:
- High resolution line chart
The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.
If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.
Alternatively you can use a tool like Inkscape. - High resolution line chart, optimized for mobile
- Alternative high resolution line chart
- Scatterplot
- Portable line chart (png)
- Portable line chart (png), optimized for mobile
- Line chart for only Popularity of the first name Nautica
- Line chart for only Air pollution in Jackson
- AI-generated correlation image
- The spurious research paper: Breath of Fresh Air: A Correlation Between Nautica Popularity and Air Pollution in Jackson
Your rating is stellar!
Correlation ID: 2951 · Black Variable ID: 4092 · Red Variable ID: 20746
