Download png, svg
AI explanation
As people consumed more tree nuts, their bodies became more efficient at processing nutrients, leading to a decrease in excessive gas production. This reduction in flatulence ultimately contributed to a fresher and cleaner local air quality in Florence, South Carolina. So remember, for a breath of fresh air, just go nuts!
Model: dalle-3
Prompt: Certainly! Here's an image generation prompt for DALL-E 3 using the specified style and scene: "Generate an image that looks like it is a serene scene from a Pixar movie. Depict a tranquil park in Florence, South Carolina, with lush trees and people joyfully strolling among them. The air quality is pristine, and a gentle breeze carries the sweet scent of blossoms. In the foreground, show a trail of empty nut bags - almonds, cashews, and walnuts - that were enjoyed by locals. The happy atmosphere in the park reflects the community's increased consumption of tree nuts, leading to improved nutrient processing and reduced gas production. Emphasize the harmony of nature and the refreshing air to beautifully encapsulate the positive impact of increased tree nut consumption on local air quality. Keep the visual depiction simple, without any words or speech bubbles." This prompt aims to create a serene and idyllic visual representation of the scene while focusing on the positive impact of increased tree nut consumption on the local environment. 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: US Tree Nut Consumption per Person and Air quality in Florence, South Carolina. 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: Parallax art a funny image you would see on reddit An image that looks like it is a scene from a Pixar movie inspired by bauhaus Oragami
ChatGPT: An image that looks like it is a scene from a Pixar movie
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 US Tree Nut Consumption per Person and Air quality in Florence, South Carolina, in the following situation: As people consumed more tree nuts, their bodies became more efficient at processing nutrients, leading to a decrease in excessive gas production. This reduction in flatulence ultimately contributed to a fresher and cleaner local air quality in Florence, South Carolina. So remember, for a breath of fresh air, just go nuts!. Keep the description simple.
ChatGPT: In a serene park in Florence, South Carolina, people are enjoying the fresh air as they stroll among lush trees. The air quality is pristine, with a gentle breeze carrying the sweet scent of blossoms. Nearby, there's a trail of empty bags from delicious mixed nuts - almonds, cashews, and walnuts - that were enjoyed by locals. The happy atmosphere is a result of the community's increased consumption of tree nuts, leading to improved nutrient processing in their bodies and reduced gas production. The harmony of nature and the refreshing air beautifully encapsulate the positive impact of increased tree nut consumption on local air quality.
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: [ An image that looks like it is a scene from a Pixar movie ] and depicting this scene: In a serene park in Florence, South Carolina, people are enjoying the fresh air as they stroll among lush trees. The air quality is pristine, with a gentle breeze carrying the sweet scent of blossoms. Nearby, there's a trail of empty bags from delicious mixed nuts - almonds, cashews, and walnuts - that were enjoyed by locals. The happy atmosphere is a result of the community's increased consumption of tree nuts, leading to improved nutrient processing in their bodies and reduced gas production. The harmony of nature and the refreshing air beautifully encapsulate the positive impact of increased tree nut consumption on local air quality. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Certainly! Here's an image generation prompt for DALL-E 3 using the specified style and scene: "Generate an image that looks like it is a serene scene from a Pixar movie. Depict a tranquil park in Florence, South Carolina, with lush trees and people joyfully strolling among them. The air quality is pristine, and a gentle breeze carries the sweet scent of blossoms. In the foreground, show a trail of empty nut bags - almonds, cashews, and walnuts - that were enjoyed by locals. The happy atmosphere in the park reflects the community's increased consumption of tree nuts, leading to improved nutrient processing and reduced gas production. Emphasize the harmony of nature and the refreshing air to beautifully encapsulate the positive impact of increased tree nut consumption on local air quality. Keep the visual depiction simple, without any words or speech bubbles." This prompt aims to create a serene and idyllic visual representation of the scene while focusing on the positive impact of increased tree nut consumption on the local environment.
*Variations in the User Prompts from chart to chart are just the result of random number generation in Python. I wrote a few arrays of various styles and methods to ask questions to change up the results. Every time this site writes an explanation or generates an image, the script picks from each at random.
I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in US Tree Nut Consumption per Person caused Air quality in Florence, South Carolina to increase. Add a funny one-liner at the end.
AI academic paper
 |
Nuts for Clean Air: Exploring the Relationship between US Tree Nut Consumption per Person and Air Quality in Florence, South Carolina The International Journal of Nutritional Ecology and Environmental Health Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a silly 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 US Tree Nut Consumption per Person and Air quality in Florence, South Carolina. 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 Statista and Environmental Protection Agency to assess this nagging question. You found a correlation coefficient of 0.8412367 and p < 0.01 for 2000 to 2021.
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]]
Nuts for Clean Air: Exploring the Relationship between US Tree Nut Consumption per Person and Air Quality in Florence, South Carolina
[[ABSTRACT]]
This paper delves into the intriguing and unexpected connection between US tree nut consumption per person and air quality in Florence, South Carolina. The research team utilized data from Statista and the Environmental Protection Agency to examine this peculiar link, yielding a correlation coefficient of 0.8412367 and p < 0.01 for the years 2000 to 2021. The findings not only shed light on the potential influence of nutty dietary habits on the local air quality, but also illuminate the importance of considering unforeseen factors when assessing environmental trends. As the saying goes, "You can't see the forest for the trees" – or perhaps in our case, "You can't see the air quality for the nuts!" With a touch of humor and a hint of the unexpected, this research contributes a fresh perspective to the intersection of dietary behavior and environmental outcomes.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly 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 US Tree Nut Consumption per Person and Air quality in Florence, South Carolina. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Here is the title and abstract of the paper:
[[TITLE]]
Nuts for Clean Air: Exploring the Relationship between US Tree Nut Consumption per Person and Air Quality in Florence, South Carolina
[[ABSTRACT]]
This paper delves into the intriguing and unexpected connection between US tree nut consumption per person and air quality in Florence, South Carolina. The research team utilized data from Statista and the Environmental Protection Agency to examine this peculiar link, yielding a correlation coefficient of 0.8412367 and p < 0.01 for the years 2000 to 2021. The findings not only shed light on the potential influence of nutty dietary habits on the local air quality, but also illuminate the importance of considering unforeseen factors when assessing environmental trends. As the saying goes, "You can't see the forest for the trees" – or perhaps in our case, "You can't see the air quality for the nuts!" With a touch of humor and a hint of the unexpected, this research contributes a fresh perspective to the intersection of dietary behavior and environmental outcomes.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
In recent years, the quest for clean air has become as ubiquitous as the aromas at a nut-roasting factory. As individuals continue to seek out ways to improve air quality, an unexpected player has emerged in this atmospheric theater – tree nuts. The interplay between human dietary habits and environmental nuances has long been a topic of fascination, but seldom has it ventured into the realm of, well, nuts.
The correlation between US tree nut consumption per person and air quality in Florence, South Carolina, presents itself as a nutty mystery waiting to be cracked. Using a data-driven approach, this study aims to peel back the layers of this peculiar association, shedding light on the unanticipated interdependence between what we munch and what we breathe.
Who would have thought that something as crunchy and munchy as tree nuts could lend themselves to discussions of air quality? Much like a squirrel hoarding its precious nuts, we too shall delve into the depths of this peculiar relationship, cracking open the shell of evidence to reveal the creamy kernel of insight nested within.
As we embark on this scholarly journey, let us not overlook the importance of embracing the unexpected. For as the old adage goes, “In a world full of plain bagels, be a sprinkled donut.” In a similar vein, let us sprinkle a dash of whimsy and a pinch of curiosity onto this rather nutty endeavor. After all, as any nut enthusiast would agree, the best discoveries often emerge from the unlikeliest of sources.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly 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 US Tree Nut Consumption per Person and Air quality in Florence, South Carolina. 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 devolve ever further, and mention something completely ridiculous, like you conducted literature review by reading CVS receipts.
Here is the title and abstract of the paper:
[[TITLE]]
Nuts for Clean Air: Exploring the Relationship between US Tree Nut Consumption per Person and Air Quality in Florence, South Carolina
[[ABSTRACT]]
This paper delves into the intriguing and unexpected connection between US tree nut consumption per person and air quality in Florence, South Carolina. The research team utilized data from Statista and the Environmental Protection Agency to examine this peculiar link, yielding a correlation coefficient of 0.8412367 and p < 0.01 for the years 2000 to 2021. The findings not only shed light on the potential influence of nutty dietary habits on the local air quality, but also illuminate the importance of considering unforeseen factors when assessing environmental trends. As the saying goes, "You can't see the forest for the trees" – or perhaps in our case, "You can't see the air quality for the nuts!" With a touch of humor and a hint of the unexpected, this research contributes a fresh perspective to the intersection of dietary behavior and environmental outcomes.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
In recent years, the quest for clean air has become as ubiquitous as the aromas at a nut-roasting factory. As individuals continue to seek out ways to improve air quality, an unexpected player has emerged in this atmospheric theater – tree nuts. The interplay between human dietary habits and environmental nuances has long been a topic of fascination, but seldom has it ventured into the realm of, well, nuts.
The correlation between US tree nut consumption per person and air quality in Florence, South Carolina, presents itself as a nutty mystery waiting to be cracked. Using a data-driven approach, this study aims to peel back the layers of this peculiar association, shedding light on the unanticipated interdependence between what we munch and what we breathe.
Who would have thought that something as crunchy and munchy as tree nuts could lend themselves to discussions of air quality? Much like a squirrel hoarding its precious nuts, we too shall delve into the depths of this peculiar relationship, cracking open the shell of evidence to reveal the creamy kernel of insight nested within.
As we embark on this scholarly journey, let us not overlook the importance of embracing the unexpected. For as the old adage goes, “In a world full of plain bagels, be a sprinkled donut.” In a similar vein, let us sprinkle a dash of whimsy and a pinch of curiosity onto this rather nutty endeavor. After all, as any nut enthusiast would agree, the best discoveries often emerge from the unlikeliest of sources.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
The literature on the relationship between dietary habits and environmental outcomes is as varied and diverse as a nut assortment at a fancy holiday party. Smith (2010) delves into the impact of dietary patterns on overall health, while Doe (2015) investigates the sociocultural influences on food consumption. Jones (2018) provides a comprehensive analysis of air quality trends in urban areas. However, the fusion of these seemingly disparate topics into a nutty concoction of tree nut consumption and air quality in Florence, South Carolina has been a subject less explored in formal research.
Turning to non-fiction books, Pollan's "The Omnivore's Dilemma" offers a thought-provoking exploration of the modern American diet, while Diamond's "Collapse" provides insights into the interplay between human societies and their environment. In the realm of fiction, Kingsolver's "Prodigal Summer" weaves a tale of human connections to nature, and Eggers' "The Circle" delves into the unforeseen consequences of technological advancement. As we journey further into the literature, we encounter unexpected sources of insight, much like stumbling across a hidden gem in a bag of trail mix.
Venturing beyond the traditional scholarly sources, this research team embraced creativity in the pursuit of unconventional wisdom. Indeed, the authors found themselves perusing the expansive collection of CVS receipts, uncovering the curious affinity between tree nuts and air quality. Amidst descriptions of toothpaste and hair products, a hint of nutty enlightenment emerged, reminding us that inspiration can arise from the most unexpected places.
As the literature on this peculiar association continues to unfold, it becomes evident that the world of research is indeed a mixed bag of surprises – much like finding an unexpected almond amidst a sea of peanuts. While the inklings of humor and whimsy may seem out of place in this scholarly pursuit, they serve as a reminder that even the most serious of inquiries can benefit from a sprinkle of lightheartedness. After all, in the words of Carl Jung, "The creation of something new is not accomplished by the intellect but by the play instinct acting from inner necessity." And just as a nutcracker is essential for unveiling the hidden treasures within, this study endeavors to crack open the shell of conventional wisdom and reveal the unexpected connection between tree nut consumption and air quality.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly 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 US Tree Nut Consumption per Person and Air quality in Florence, South Carolina. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Your research team collected data from all across the internet, but mostly just used information from Statista and Environmental Protection Agency . You used data from 2000 to 2021
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]]
Nuts for Clean Air: Exploring the Relationship between US Tree Nut Consumption per Person and Air Quality in Florence, South Carolina
[[ABSTRACT]]
This paper delves into the intriguing and unexpected connection between US tree nut consumption per person and air quality in Florence, South Carolina. The research team utilized data from Statista and the Environmental Protection Agency to examine this peculiar link, yielding a correlation coefficient of 0.8412367 and p < 0.01 for the years 2000 to 2021. The findings not only shed light on the potential influence of nutty dietary habits on the local air quality, but also illuminate the importance of considering unforeseen factors when assessing environmental trends. As the saying goes, "You can't see the forest for the trees" – or perhaps in our case, "You can't see the air quality for the nuts!" With a touch of humor and a hint of the unexpected, this research contributes a fresh perspective to the intersection of dietary behavior and environmental outcomes.
[[INTRODUCTION]]
In recent years, the quest for clean air has become as ubiquitous as the aromas at a nut-roasting factory. As individuals continue to seek out ways to improve air quality, an unexpected player has emerged in this atmospheric theater – tree nuts. The interplay between human dietary habits and environmental nuances has long been a topic of fascination, but seldom has it ventured into the realm of, well, nuts.
The correlation between US tree nut consumption per person and air quality in Florence, South Carolina, presents itself as a nutty mystery waiting to be cracked. Using a data-driven approach, this study aims to peel back the layers of this peculiar association, shedding light on the unanticipated interdependence between what we munch and what we breathe.
Who would have thought that something as crunchy and munchy as tree nuts could lend themselves to discussions of air quality? Much like a squirrel hoarding its precious nuts, we too shall delve into the depths of this peculiar relationship, cracking open the shell of evidence to reveal the creamy kernel of insight nested within.
As we embark on this scholarly journey, let us not overlook the importance of embracing the unexpected. For as the old adage goes, “In a world full of plain bagels, be a sprinkled donut.” In a similar vein, let us sprinkle a dash of whimsy and a pinch of curiosity onto this rather nutty endeavor. After all, as any nut enthusiast would agree, the best discoveries often emerge from the unlikeliest of sources.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To investigate the curious link between US tree nut consumption per person and air quality in Florence, South Carolina, we employed a nutty mix of research methods that were as multifaceted as a bowl of mixed nuts. Our data collection commenced with a thorough scouring of online resources, from the depths of the internet jungle to the statistically bountiful trees of Statista and the Environmental Protection Agency. The data, spanning from 2000 to 2021, was then meticulously shelled, sorted, and roasted to perfection before being cracked open and analyzed to reveal the tantalizing insights within.
Our first step involved quantifying the annual per capita consumption of tree nuts in the United States. This proved to be a nut-cracking task, as the data required careful extraction from a variety of sources, including national surveys, industry reports, and historical consumption trends. We meticulously separated the almonds from the pecans and the walnuts from the cashews, ensuring that each nut's contribution to the overall consumption was accurately represented.
Simultaneously, we embarked on a parallel expedition to gather air quality data for Florence, South Carolina, from the Environmental Protection Agency. This involved navigating through an extensive thicket of pollutant measurements and atmospheric parameters, akin to trailing a squirrel through a dense forest in search of its hidden stash of nuts. Respiratory particles were sifted through, ozone levels were examined, and air quality indexes were pondered, all in the pursuit of illuminating the nuances of Florence's atmospheric conditions.
Once these data sets were securely gathered, they were subjected to a series of statistical analyses that resembled a concoction of ingredient blending fit for a nutty recipe. Spearheaded by the venerable correlation coefficient, we sought to discern relationships as intricate as the patterns on a pistachio shell. Our algorithms not only quantified the correlation between US tree nut consumption per person and air quality in Florence, South Carolina but also aspired to unmask the subtle interplay between these seemingly unrelated variables.
Moreover, with a nod to the principles of time series analysis, we delved into the temporal dimension of the data, recognizing that environmental trends and dietary habits can evolve as fluidly as the flavors of a bag of mixed nuts. Seasonal variations, annual oscillations, and long-term trends were scrutinized with the diligence of a nut enthusiast inspecting a newly harvested batch for flaws.
Throughout this methodological journey, we maintained a keen awareness of the potential confounding variables, recognizing that the interplay of diet, environment, and other socioeconomic factors can be as intertwined as the roots of a nut-bearing tree. Sensitivity analyses were conducted to evaluate the robustness of our findings, ensuring that our conclusions were as solid as a coconut shell.
In doing so, our approach sought not only to untangle the enigmatic connection between tree nut consumption and air quality but also to embrace the unforeseen variables that lurk within this tangled web of ecological relationships. Much like a nutty detective, we left no stone unturned in our pursuit of clarity, navigating the labyrinthine path to a better understanding of the complex interactions between what we consume and what we respire.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly 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 US Tree Nut Consumption per Person and Air quality in Florence, South Carolina. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Your research team collected data from all across the internet, but mostly just used information from Statista and Environmental Protection Agency .
For the time period 2000 to 2021, you found a correlation 0.8412367, r-squared of 0.7076792, 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]]
Nuts for Clean Air: Exploring the Relationship between US Tree Nut Consumption per Person and Air Quality in Florence, South Carolina
[[ABSTRACT]]
This paper delves into the intriguing and unexpected connection between US tree nut consumption per person and air quality in Florence, South Carolina. The research team utilized data from Statista and the Environmental Protection Agency to examine this peculiar link, yielding a correlation coefficient of 0.8412367 and p < 0.01 for the years 2000 to 2021. The findings not only shed light on the potential influence of nutty dietary habits on the local air quality, but also illuminate the importance of considering unforeseen factors when assessing environmental trends. As the saying goes, "You can't see the forest for the trees" – or perhaps in our case, "You can't see the air quality for the nuts!" With a touch of humor and a hint of the unexpected, this research contributes a fresh perspective to the intersection of dietary behavior and environmental outcomes.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
In recent years, the quest for clean air has become as ubiquitous as the aromas at a nut-roasting factory. As individuals continue to seek out ways to improve air quality, an unexpected player has emerged in this atmospheric theater – tree nuts. The interplay between human dietary habits and environmental nuances has long been a topic of fascination, but seldom has it ventured into the realm of, well, nuts.
The correlation between US tree nut consumption per person and air quality in Florence, South Carolina, presents itself as a nutty mystery waiting to be cracked. Using a data-driven approach, this study aims to peel back the layers of this peculiar association, shedding light on the unanticipated interdependence between what we munch and what we breathe.
Who would have thought that something as crunchy and munchy as tree nuts could lend themselves to discussions of air quality? Much like a squirrel hoarding its precious nuts, we too shall delve into the depths of this peculiar relationship, cracking open the shell of evidence to reveal the creamy kernel of insight nested within.
As we embark on this scholarly journey, let us not overlook the importance of embracing the unexpected. For as the old adage goes, “In a world full of plain bagels, be a sprinkled donut.” In a similar vein, let us sprinkle a dash of whimsy and a pinch of curiosity onto this rather nutty endeavor. After all, as any nut enthusiast would agree, the best discoveries often emerge from the unlikeliest of sources.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
RESULTS
The results of our investigation into the curious relationship between US tree nut consumption per person and air quality in Florence, South Carolina, have peeled back the layers of this nutty mystery, revealing a rather surprising correlation. Our statistical analysis yielded a correlation coefficient of 0.8412367, along with an r-squared value of 0.7076792, both of which are statistically significant at p < 0.01. It seems that the link between nut consumption and air quality is not just some crackpot theory – there's a real kernel of truth to it!
As depicted in the scatterplot (Fig. 1), there is a strong positive correlation between the two variables, showcasing the nutty influence of tree nut consumption on the local air quality. It's almost as if the nuts are whispering sweet nothings to the air particles, encouraging them to stay fresher and cleaner. We must say, this relationship is quite nut-orious!
This unexpected finding not only highlights the potential impact of nutty dietary habits on environmental conditions but also underscores the importance of considering multifaceted factors when evaluating air quality trends. It appears that when it comes to assessing air quality, we can't simply brush aside the nutty tendencies of the human diet. Who knew that munching on nuts could have such an air-raising effect?
In essence, our research has cracked open the shell of conventional thinking to reveal the creamy insights nestled within. Much like gathering almonds from a tree, we have plucked out a significant association between nut consumption and air quality in Florence, South Carolina. As we close this chapter, we can't help but ponder, "How 'pecan' we further explore this intriguing link?" This unexpected correlation certainly brings a new meaning to the phrase, "going nuts for clean air!"
Our findings contribute a fresh perspective to the fusion of dietary behavior and environmental outcomes, reminding us that the most unexpected sources can harbor valuable insights. As we continue to unravel the mysteries of our surroundings, let us embrace the unexpected – for in the midst of a world full of predictable patterns, there's nothing wrong with adding a sprinkle of nuttiness to the mix.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly 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 US Tree Nut Consumption per Person and Air quality in Florence, South Carolina. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Limit your response to 500 tokens.
Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.
Do not write a conclusion. I will add a conclusion after this.
[[TITLE]]
Nuts for Clean Air: Exploring the Relationship between US Tree Nut Consumption per Person and Air Quality in Florence, South Carolina
[[ABSTRACT]]
This paper delves into the intriguing and unexpected connection between US tree nut consumption per person and air quality in Florence, South Carolina. The research team utilized data from Statista and the Environmental Protection Agency to examine this peculiar link, yielding a correlation coefficient of 0.8412367 and p < 0.01 for the years 2000 to 2021. The findings not only shed light on the potential influence of nutty dietary habits on the local air quality, but also illuminate the importance of considering unforeseen factors when assessing environmental trends. As the saying goes, "You can't see the forest for the trees" – or perhaps in our case, "You can't see the air quality for the nuts!" With a touch of humor and a hint of the unexpected, this research contributes a fresh perspective to the intersection of dietary behavior and environmental outcomes.
[[LITERATURE REVIEW]]
The literature on the relationship between dietary habits and environmental outcomes is as varied and diverse as a nut assortment at a fancy holiday party. Smith (2010) delves into the impact of dietary patterns on overall health, while Doe (2015) investigates the sociocultural influences on food consumption. Jones (2018) provides a comprehensive analysis of air quality trends in urban areas. However, the fusion of these seemingly disparate topics into a nutty concoction of tree nut consumption and air quality in Florence, South Carolina has been a subject less explored in formal research.
Turning to non-fiction books, Pollan's "The Omnivore's Dilemma" offers a thought-provoking exploration of the modern American diet, while Diamond's "Collapse" provides insights into the interplay between human societies and their environment. In the realm of fiction, Kingsolver's "Prodigal Summer" weaves a tale of human connections to nature, and Eggers' "The Circle" delves into the unforeseen consequences of technological advancement. As we journey further into the literature, we encounter unexpected sources of insight, much like stumbling across a hidden gem in a bag of trail mix.
Venturing beyond the traditional scholarly sources, this research team embraced creativity in the pursuit of unconventional wisdom. Indeed, the authors found themselves perusing the expansive collection of CVS receipts, uncovering the curious affinity between tree nuts and air quality. Amidst descriptions of toothpaste and hair products, a hint of nutty enlightenment emerged, reminding us that inspiration can arise from the most unexpected places.
As the literature on this peculiar association continues to unfold, it becomes evident that the world of research is indeed a mixed bag of surprises – much like finding an unexpected almond amidst a sea of peanuts. While the inklings of humor and whimsy may seem out of place in this scholarly pursuit, they serve as a reminder that even the most serious of inquiries can benefit from a sprinkle of lightheartedness. After all, in the words of Carl Jung, "The creation of something new is not accomplished by the intellect but by the play instinct acting from inner necessity." And just as a nutcracker is essential for unveiling the hidden treasures within, this study endeavors to crack open the shell of conventional wisdom and reveal the unexpected connection between tree nut consumption and air quality.
[[RESULTS]]
RESULTS
The results of our investigation into the curious relationship between US tree nut consumption per person and air quality in Florence, South Carolina, have peeled back the layers of this nutty mystery, revealing a rather surprising correlation. Our statistical analysis yielded a correlation coefficient of 0.8412367, along with an r-squared value of 0.7076792, both of which are statistically significant at p < 0.01. It seems that the link between nut consumption and air quality is not just some crackpot theory – there's a real kernel of truth to it!
As depicted in the scatterplot (Fig. 1), there is a strong positive correlation between the two variables, showcasing the nutty influence of tree nut consumption on the local air quality. It's almost as if the nuts are whispering sweet nothings to the air particles, encouraging them to stay fresher and cleaner. We must say, this relationship is quite nut-orious!
This unexpected finding not only highlights the potential impact of nutty dietary habits on environmental conditions but also underscores the importance of considering multifaceted factors when evaluating air quality trends. It appears that when it comes to assessing air quality, we can't simply brush aside the nutty tendencies of the human diet. Who knew that munching on nuts could have such an air-raising effect?
In essence, our research has cracked open the shell of conventional thinking to reveal the creamy insights nestled within. Much like gathering almonds from a tree, we have plucked out a significant association between nut consumption and air quality in Florence, South Carolina. As we close this chapter, we can't help but ponder, "How 'pecan' we further explore this intriguing link?" This unexpected correlation certainly brings a new meaning to the phrase, "going nuts for clean air!"
Our findings contribute a fresh perspective to the fusion of dietary behavior and environmental outcomes, reminding us that the most unexpected sources can harbor valuable insights. As we continue to unravel the mysteries of our surroundings, let us embrace the unexpected – for in the midst of a world full of predictable patterns, there's nothing wrong with adding a sprinkle of nuttiness to the mix.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The results of our study synergize with previous research, validating the nutty idea that dietary habits could have an impact on the environment. It turns out that the correlation between tree nut consumption and air quality is not just a wacky hypothesis – it's a hard nut to crack, and we've shelled out the evidence to prove it! Our findings align with Smith's (2010) work on the impact of dietary patterns, highlighting how seemingly unrelated factors, like snacking on almonds or walnuts, might sow the seeds of cleaner air.
Delving into Doe's (2015) exploration of sociocultural influences on food consumption, our research uncovers an unexpected link between societal snacking habits and the local atmosphere. It seems that the munching masses in Florence, South Carolina, are inadvertently contributing to air quality – who would have thought that the ripples of a nutty snack could extend to the air we breathe?
Furthermore, Jones' (2018) analysis of air quality trends in urban areas aligns with our findings, as we illuminate the previously overlooked role of nut consumption in shaping environmental conditions. As it turns out, the winds of change blowing through Florence might just be carrying the subtle aromas of roasted peanuts and cashews.Our statistical analysis lends credence to the idea that the nuts we eat may have unintended consequences on the air we breathe, adding a whole new layer of complexity to the peanut gallery of environmental influences.
Our study aligns not only with scholarly work but also delves into unexpected sources of inspiration, harkening back to our unconventional wisdom obtained from perusing CVS receipts. In today's world, where information is as abundant as a bag of mixed nuts, it's crucial to remain open to the possibility of discovering unexpected connections in unconventional places.
The correlation we've uncovered is as nutty as a squirrel on a feeding frenzy, but it underscores the importance of considering unforeseen factors when evaluating environmental trends. Just as the spice of life is said to be variety, our findings highlight the importance of embracing unforeseen elements that could be shaping the very air we breathe. In closing, this research seeks to crack the walnut of conventional wisdom, challenging our preconceived notions and inviting further exploration of this eye-opening link.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly 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 US Tree Nut Consumption per Person and Air quality in Florence, South Carolina. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.
Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Nuts for Clean Air: Exploring the Relationship between US Tree Nut Consumption per Person and Air Quality in Florence, South Carolina
[[ABSTRACT]]
This paper delves into the intriguing and unexpected connection between US tree nut consumption per person and air quality in Florence, South Carolina. The research team utilized data from Statista and the Environmental Protection Agency to examine this peculiar link, yielding a correlation coefficient of 0.8412367 and p < 0.01 for the years 2000 to 2021. The findings not only shed light on the potential influence of nutty dietary habits on the local air quality, but also illuminate the importance of considering unforeseen factors when assessing environmental trends. As the saying goes, "You can't see the forest for the trees" – or perhaps in our case, "You can't see the air quality for the nuts!" With a touch of humor and a hint of the unexpected, this research contributes a fresh perspective to the intersection of dietary behavior and environmental outcomes.
[[INTRDUCTION]]
In recent years, the quest for clean air has become as ubiquitous as the aromas at a nut-roasting factory. As individuals continue to seek out ways to improve air quality, an unexpected player has emerged in this atmospheric theater – tree nuts. The interplay between human dietary habits and environmental nuances has long been a topic of fascination, but seldom has it ventured into the realm of, well, nuts.
The correlation between US tree nut consumption per person and air quality in Florence, South Carolina, presents itself as a nutty mystery waiting to be cracked. Using a data-driven approach, this study aims to peel back the layers of this peculiar association, shedding light on the unanticipated interdependence between what we munch and what we breathe.
Who would have thought that something as crunchy and munchy as tree nuts could lend themselves to discussions of air quality? Much like a squirrel hoarding its precious nuts, we too shall delve into the depths of this peculiar relationship, cracking open the shell of evidence to reveal the creamy kernel of insight nested within.
As we embark on this scholarly journey, let us not overlook the importance of embracing the unexpected. For as the old adage goes, “In a world full of plain bagels, be a sprinkled donut.” In a similar vein, let us sprinkle a dash of whimsy and a pinch of curiosity onto this rather nutty endeavor. After all, as any nut enthusiast would agree, the best discoveries often emerge from the unlikeliest of sources.
[[RESULTS]]
RESULTS
The results of our investigation into the curious relationship between US tree nut consumption per person and air quality in Florence, South Carolina, have peeled back the layers of this nutty mystery, revealing a rather surprising correlation. Our statistical analysis yielded a correlation coefficient of 0.8412367, along with an r-squared value of 0.7076792, both of which are statistically significant at p < 0.01. It seems that the link between nut consumption and air quality is not just some crackpot theory – there's a real kernel of truth to it!
As depicted in the scatterplot (Fig. 1), there is a strong positive correlation between the two variables, showcasing the nutty influence of tree nut consumption on the local air quality. It's almost as if the nuts are whispering sweet nothings to the air particles, encouraging them to stay fresher and cleaner. We must say, this relationship is quite nut-orious!
This unexpected finding not only highlights the potential impact of nutty dietary habits on environmental conditions but also underscores the importance of considering multifaceted factors when evaluating air quality trends. It appears that when it comes to assessing air quality, we can't simply brush aside the nutty tendencies of the human diet. Who knew that munching on nuts could have such an air-raising effect?
In essence, our research has cracked open the shell of conventional thinking to reveal the creamy insights nestled within. Much like gathering almonds from a tree, we have plucked out a significant association between nut consumption and air quality in Florence, South Carolina. As we close this chapter, we can't help but ponder, "How 'pecan' we further explore this intriguing link?" This unexpected correlation certainly brings a new meaning to the phrase, "going nuts for clean air!"
Our findings contribute a fresh perspective to the fusion of dietary behavior and environmental outcomes, reminding us that the most unexpected sources can harbor valuable insights. As we continue to unravel the mysteries of our surroundings, let us embrace the unexpected – for in the midst of a world full of predictable patterns, there's nothing wrong with adding a sprinkle of nuttiness to the mix.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, our study has peeled back the layers of the nutty relationship between US tree nut consumption per person and air quality in Florence, South Carolina, revealing a surprising and statistically significant correlation. The robust correlation coefficient of 0.8412367 and r-squared value of 0.7076792, both of which are statistically significant at p < 0.01, indicate a strong positive association between nut consumption and air quality. It seems that the nuts aren't just a bunch of crackpots – there's a real kernel of truth to their influence on air quality!
The unexpected nature of this finding underscores the importance of considering the multifaceted factors at play when evaluating air quality trends. It appears that when it comes to air quality, we can't simply brush aside the nutty tendencies of the human diet. Who knew that munching on nuts could have such an air-raising effect? This revelation is certainly 'almond' the most unexpected discoveries we've stumbled upon.
While our findings mark a significant contribution to the field, we believe it's time to cashew-t a break. The unexpected correlation between nut consumption and air quality in Florence, South Carolina certainly brings a new meaning to the phrase, "going nuts for clean air!" However, we are confident in asserting that further research in this area is nuts-ecessary. It's time for the scientific community to acknowledge that the nutty influences on air quality have been cracked wide open, leaving no more room for additional research in this peculiar area.
As we close this nutty chapter, let's remember that sometimes the most impactful discoveries emerge from the unlikeliest of sources – much like finding a pearl in an oyster, or a pecan in a pie. Our study encourages future researchers to embrace the unexpected and sprinkle a bit of nuttiness into their scholarly pursuits. After all, when it comes to scientific exploration, there's certainly nothing wrong with adding a dash of whimsy and a sprinkle of humor to the mix!
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 Nuts for Clean Air: Exploring the Relationship between US Tree Nut Consumption per Person and Air Quality in Florence, South Carolina. Respond only with the name of a fictional academic journal.
ChatGPT:
The International Journal of Nutritional Ecology and Environmental Health
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 Nuts for Clean Air: Exploring the Relationship between US Tree Nut Consumption per Person and Air Quality in Florence, South Carolina. Respond only with the name of a fictional organization.
ChatGPT:
Institute for Botanical Nutritional Research
Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled Nuts for Clean Air: Exploring the Relationship between US Tree Nut Consumption per Person and Air Quality in Florence, South Carolina with an abstract of This paper delves into the intriguing and unexpected connection between US tree nut consumption per person and air quality in Florence, South Carolina. The research team utilized data from Statista and the Environmental Protection Agency to examine this peculiar link, yielding a correlation coefficient of 0.8412367 and p < 0.01 for the years 2000 to 2021. The findings not only shed light on the potential influence of nutty dietary habits on the local air quality, but also illuminate the importance of considering unforeseen factors when assessing environmental trends. As the saying goes, "You can't see the forest for the trees" – or perhaps in our case, "You can't see the air quality for the nuts!" With a touch of humor and a hint of the unexpected, this research contributes a fresh perspective to the intersection of dietary behavior and environmental outcomes.
ChatGPT:
US tree nut consumption, air quality, Florence South Carolina, correlation coefficient, Statista data, Environmental Protection Agency data, nutty dietary habits, environmental trends, dietary behavior, unexpected factors, intersection of diet and environment
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
Discover a new correlation
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Data details
US Tree Nut Consumption per PersonSource: Statista
See what else correlates with US Tree Nut Consumption per Person
Air quality in Florence, South Carolina
Detailed data title: Percentage of days with good air quality in Florence, SC
Source: Environmental Protection Agency
See what else correlates with Air quality in Florence, South Carolina
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 = 0.7076792 (Coefficient of determination)
This means 70.8% of the change in the one variable (i.e., Air quality in Florence, South Carolina) is predictable based on the change in the other (i.e., US Tree Nut Consumption per Person) over the 22 years from 2000 through 2021.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 9.4E-7. 0.0000009372256794280832000000
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 0.84 in 9.4E-5% of random cases. Said differently, if you correlated 1,066,979 random variables You don't actually need 1 million variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.
p-value calculations are useful for understanding the probability of a result happening by chance. They are most useful when used to highlight the risk of a fluke outcome. For example, if you calculate a p-value of 0.30, the risk that the result is a fluke is high. It is good to know that! But there are lots of ways to get a p-value of less than 0.01, as evidenced by this project.
In this particular case, the values are so extreme as to be meaningless. That's why no one reports p-values with specificity after they drop below 0.01.
Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 21 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 21 because we have two variables measured over a period of 22 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.
[ 0.65, 0.93 ] 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.
| 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | |
| US Tree Nut Consumption per Person (Pounds) | 2.61 | 2.88 | 3.35 | 3.52 | 3.53 | 2.69 | 3.36 | 3.61 | 3.58 | 3.77 | 3.88 | 3.79 | 4.18 | 4 | 4.07 | 4.06 | 4.85 | 5.04 | 5.2 | 5.43 | 5.73 | 5.65 |
| Air quality in Florence, South Carolina (Good air quality) | 55.5233 | 61.326 | 66.6667 | 71.8232 | 67.6796 | 65.5172 | 54.7529 | 58.3039 | 58.7591 | 83.3866 | 74.1071 | 60.9589 | 81.6901 | 78.3383 | 70.0315 | 85.2459 | 87.7612 | 87.4627 | 88.3008 | 87.0166 | 95.0138 | 85.1429 |
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.
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([2.61,2.88,3.35,3.52,3.53,2.69,3.36,3.61,3.58,3.77,3.88,3.79,4.18,4,4.07,4.06,4.85,5.04,5.2,5.43,5.73,5.65,])
array_2 = np.array([55.5233,61.326,66.6667,71.8232,67.6796,65.5172,54.7529,58.3039,58.7591,83.3866,74.1071,60.9589,81.6901,78.3383,70.0315,85.2459,87.7612,87.4627,88.3008,87.0166,95.0138,85.1429,])
array_1_name = "US Tree Nut Consumption per Person"
array_2_name = "Air quality in Florence, South Carolina"
# 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.
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Download images for these variables:
- High resolution line chart
The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.
If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.
Alternatively you can use a tool like Inkscape. - High resolution line chart, optimized for mobile
- Alternative high resolution line chart
- Scatterplot
- Portable line chart (png)
- Portable line chart (png), optimized for mobile
- Line chart for only US Tree Nut Consumption per Person
- Line chart for only Air quality in Florence, South Carolina
- AI-generated correlation image
- The spurious research paper: Nuts for Clean Air: Exploring the Relationship between US Tree Nut Consumption per Person and Air Quality in Florence, South Carolina
Kudos for rating!
Correlation ID: 4264 · Black Variable ID: 453 · Red Variable ID: 20637
