Download png, svg
AI explanation
People were finally able to take their romantic strolls along the waterfront without coughing and wheezing, leading to a baby boom and a spike in Google searches for baby-making tips.
Model: dalle-3
Prompt: Generate an image that captures the peaceful sunset over Charleston, South Carolina, with a minimalistic touch. Depict a calm waterfront scene with a gentle warm glow from the fading sun, emphasizing the tranquility of the environment. In the background, subtly hint at the newfound surge in baby-related searches by realistically integrating unobtrusive smartphone screens illuminating couples as they sit on benches, without overshadowing the serene ambiance. 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: Air quality in Charleston, South Carolina and Google searches for 'how to make baby'. 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: Minimalism Steampunk Cyberpunk Macabre a meme
ChatGPT: Minimalism
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 Air quality in Charleston, South Carolina and Google searches for 'how to make baby', in the following situation: People were finally able to take their romantic strolls along the waterfront without coughing and wheezing, leading to a baby boom and a spike in Google searches for baby-making tips.. Keep the description simple.
ChatGPT: As the sun set over Charleston, South Carolina, the air was crisp and clear, allowing couples to walk along the waterfront without any signs of respiratory distress. In the background, you could see the glow of smartphone screens as couples sitting on benches searched for tips on "how to make baby," clearly indicating a newly sparked baby boom.
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: [ Minimalism ] and depicting this scene: As the sun set over Charleston, South Carolina, the air was crisp and clear, allowing couples to walk along the waterfront without any signs of respiratory distress. In the background, you could see the glow of smartphone screens as couples sitting on benches searched for tips on "how to make baby," clearly indicating a newly sparked baby boom. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image that captures the peaceful sunset over Charleston, South Carolina, with a minimalistic touch. Depict a calm waterfront scene with a gentle warm glow from the fading sun, emphasizing the tranquility of the environment. In the background, subtly hint at the newfound surge in baby-related searches by realistically integrating unobtrusive smartphone screens illuminating couples as they sit on benches, without overshadowing the serene ambiance.
*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 Air quality in Charleston, South Carolina caused how to make baby (Google searches for 'how to make baby') to increase.
AI academic paper
 |
Smog is in the Air: The Hazy Connection Between Air Quality in Charleston, South Carolina and Searches for 'How to Make Baby' The Journal of Environmental Emissions and Eclectic Google Searches Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You write titles and abstracts of goofy academic research papers.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, and add unexpected twists in your writing.
Please draft the title and abstract of an academic research paper presenting the findings of the connection between Air quality in Charleston, South Carolina and Google searches for 'how to make baby'. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Make the title seem clever.
Your research team used data from Environmental Protection Agency and Google Trends to assess this nagging question. You found a correlation coefficient of 0.9253842 and p < 0.01 for 2004 to 2023.
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]]
Smog is in the Air: The Hazy Connection Between Air Quality in Charleston, South Carolina and Searches for 'How to Make Baby'
[[ABSTRACT]]
While most people may think that air quality and reproductive behavior have about as much in common as a stethoscope and a skateboard, our research has unearthed a surprising link between the two. In this study, we examine the relationship between the air quality in Charleston, South Carolina, and Google searches for 'how to make baby'. Utilizing data from the Environmental Protection Agency to measure air quality and Google Trends to gauge search interest, we discovered a striking correlation coefficient of 0.9253842 and a p-value less than 0.01 for the time period from 2004 to 2023.
It seems that when the air quality in Charleston takes a turn for the worse, searches for procreation-related queries heat up—much like a dad joke causing collective groans at a family gathering. These findings not only shed light on the unexpected impact of environmental factors on human behavior, but also prompt a new punchline: When the smog rolls in, so do the storks!
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 Air quality in Charleston, South Carolina and Google searches for 'how to make baby'. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Here is the title and abstract of the paper:
[[TITLE]]
Smog is in the Air: The Hazy Connection Between Air Quality in Charleston, South Carolina and Searches for 'How to Make Baby'
[[ABSTRACT]]
While most people may think that air quality and reproductive behavior have about as much in common as a stethoscope and a skateboard, our research has unearthed a surprising link between the two. In this study, we examine the relationship between the air quality in Charleston, South Carolina, and Google searches for 'how to make baby'. Utilizing data from the Environmental Protection Agency to measure air quality and Google Trends to gauge search interest, we discovered a striking correlation coefficient of 0.9253842 and a p-value less than 0.01 for the time period from 2004 to 2023.
It seems that when the air quality in Charleston takes a turn for the worse, searches for procreation-related queries heat up—much like a dad joke causing collective groans at a family gathering. These findings not only shed light on the unexpected impact of environmental factors on human behavior, but also prompt a new punchline: When the smog rolls in, so do the storks!
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
Welcome, esteemed readers, to a study that will surely pique your interest and tickle your funny bone. The link between environmental factors and human behavior is no laughing matter – or is it? In this paper, we delve into the unexpected connection between air quality in Charleston, South Carolina, and Google searches for 'how to make baby'. It's a topic that will leave you breathless – no pun intended!
Now, let's clear the air—no, not with a crisp punchline, but with some serious scientific discussion. You might think that air pollution and the miracle of life are as unrelated as a fork and a treadmill, but our investigation has uncovered a correlation that's as clear as a cloudless sky after a heavy rain – figuratively speaking, of course!
It appears that when the air quality deteriorates, there’s a surge in Google searches related to making babies – talk about turning smog into baby fog! These findings not only bring a breath of fresh air to the field of environmental health, but also reveal a previously unnoticed pattern that's more astonishing than finding a dad joke on a popsicle stick.
By analyzing data spanning nearly two decades, we've uncovered an intriguing relationship that's enough to make even the most seasoned epidemiologist raise an eyebrow and crack a smile – much like a dad realizing that a "dad-bod" is a self-fulfilling prophecy.
So, what happens when the skies over Charleston aren't so friendly? Do we see a surge in searches for "baby-making 101"? And more importantly, does this correlation hold any practical implications for public health and policy? Join us as we navigate through a hazy realm that's as whimsical as a dad joke told at an inappropriate moment – or is there ever an appropriate moment for a dad joke?
In the following sections, we'll delve into the methods, results, and implications of our study, offering insights that are as eye-opening as realizing that "dad bod" is not an inherited trait, but a lifestyle choice. So sit back, crack a smile, and let's embark on this journey into the surprising relationship between air quality and baby-making quests – it's a breath of fresh air in more ways than one!
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 Air quality in Charleston, South Carolina and Google searches for 'how to make baby'. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.
Make up the lorem and ipsum part, but make it sound related to the topic at hand.
Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then you might move on to cartoons and children's shows that you watched for research.
Here is the title and abstract of the paper:
[[TITLE]]
Smog is in the Air: The Hazy Connection Between Air Quality in Charleston, South Carolina and Searches for 'How to Make Baby'
[[ABSTRACT]]
While most people may think that air quality and reproductive behavior have about as much in common as a stethoscope and a skateboard, our research has unearthed a surprising link between the two. In this study, we examine the relationship between the air quality in Charleston, South Carolina, and Google searches for 'how to make baby'. Utilizing data from the Environmental Protection Agency to measure air quality and Google Trends to gauge search interest, we discovered a striking correlation coefficient of 0.9253842 and a p-value less than 0.01 for the time period from 2004 to 2023.
It seems that when the air quality in Charleston takes a turn for the worse, searches for procreation-related queries heat up—much like a dad joke causing collective groans at a family gathering. These findings not only shed light on the unexpected impact of environmental factors on human behavior, but also prompt a new punchline: When the smog rolls in, so do the storks!
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
Welcome, esteemed readers, to a study that will surely pique your interest and tickle your funny bone. The link between environmental factors and human behavior is no laughing matter – or is it? In this paper, we delve into the unexpected connection between air quality in Charleston, South Carolina, and Google searches for 'how to make baby'. It's a topic that will leave you breathless – no pun intended!
Now, let's clear the air—no, not with a crisp punchline, but with some serious scientific discussion. You might think that air pollution and the miracle of life are as unrelated as a fork and a treadmill, but our investigation has uncovered a correlation that's as clear as a cloudless sky after a heavy rain – figuratively speaking, of course!
It appears that when the air quality deteriorates, there’s a surge in Google searches related to making babies – talk about turning smog into baby fog! These findings not only bring a breath of fresh air to the field of environmental health, but also reveal a previously unnoticed pattern that's more astonishing than finding a dad joke on a popsicle stick.
By analyzing data spanning nearly two decades, we've uncovered an intriguing relationship that's enough to make even the most seasoned epidemiologist raise an eyebrow and crack a smile – much like a dad realizing that a "dad-bod" is a self-fulfilling prophecy.
So, what happens when the skies over Charleston aren't so friendly? Do we see a surge in searches for "baby-making 101"? And more importantly, does this correlation hold any practical implications for public health and policy? Join us as we navigate through a hazy realm that's as whimsical as a dad joke told at an inappropriate moment – or is there ever an appropriate moment for a dad joke?
In the following sections, we'll delve into the methods, results, and implications of our study, offering insights that are as eye-opening as realizing that "dad bod" is not an inherited trait, but a lifestyle choice. So sit back, crack a smile, and let's embark on this journey into the surprising relationship between air quality and baby-making quests – it's a breath of fresh air in more ways than one!
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
In their seminal work, "Air Quality and Human Behavior," Smith et al. (2015) present a comprehensive analysis of the impact of air quality on various aspects of human behavior, ranging from physical activity to online search patterns. Their findings point to a significant relationship between air pollution and changes in internet search queries, laying the groundwork for our investigation into the unexpected connection between air quality in Charleston, South Carolina, and Google searches for 'how to make baby'. While some may find this topic peculiar, we assure you that the evidence is as clear as day – or as murky as a city skyline under a smoggy haze.
Doe and Jones (2018) further contribute to this line of inquiry in "The Environmental Puzzle: Unraveling the Effects of Pollution," where they explore the ripple effects of environmental factors on human decision-making. Their exploration of the intricate web of influences on human behavior prepares the terrain for our foray into the peculiar correlation between air quality and procreative curiosity. It seems that the air in Charleston isn't the only thing thick with implications – the plot thickens like a good dad joke in a quiet room.
Turning to non-fiction sources, "Climate Change and Its Impacts on Human Health" by Robinson (2014) sheds light on the health consequences of air pollution, emphasizing the far-reaching effects that extend beyond respiratory ailments. As we navigate through our investigation, it becomes apparent that the impact of air quality transcends physical well-being and delves into the realms of human behavior – much like how a dad joke transcends groans and elicits reluctant chuckles at the dinner table.
The fictitious world also offers insights that parallel our findings, albeit in a less empirical manner. Take, for instance, the classic novel "Cloudy with a Chance of Babies" by Barrett (1978), a whimsical tale that foretells a town where babies rain from the sky – a scenario that feels not too far removed from our discovery of the connection between air quality and baby-related searches. It's as if the literary world is conspiring to weave a narrative as unexpected as a dad joke in a scientific publication.
Departing from literature proper, we draw inspiration from children's television programming, specifically "The Magic School Bus" and its episode on air pollution. While Ms. Frizzle may not have directly addressed reproductive behavior in the context of air quality, her adventures certainly provided a breath of fresh air in our own exploration, much like a well-timed dad joke in a room full of groans.
As we sift through the literature and draw parallels from unlikely sources, it becomes evident that our investigation into the connection between air quality in Charleston, South Carolina, and Google searches for 'how to make baby' is as curious as a dad joke at a scientific conference. But rest assured, esteemed readers, the evidence is no laughing matter – well, at least not entirely.
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 Air quality in Charleston, South Carolina and Google searches for 'how to make baby'. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Your research team collected data from all across the internet, but mostly just used information from Environmental Protection Agency and Google Trends . You used data from 2004 to 2023
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]]
Smog is in the Air: The Hazy Connection Between Air Quality in Charleston, South Carolina and Searches for 'How to Make Baby'
[[ABSTRACT]]
While most people may think that air quality and reproductive behavior have about as much in common as a stethoscope and a skateboard, our research has unearthed a surprising link between the two. In this study, we examine the relationship between the air quality in Charleston, South Carolina, and Google searches for 'how to make baby'. Utilizing data from the Environmental Protection Agency to measure air quality and Google Trends to gauge search interest, we discovered a striking correlation coefficient of 0.9253842 and a p-value less than 0.01 for the time period from 2004 to 2023.
It seems that when the air quality in Charleston takes a turn for the worse, searches for procreation-related queries heat up—much like a dad joke causing collective groans at a family gathering. These findings not only shed light on the unexpected impact of environmental factors on human behavior, but also prompt a new punchline: When the smog rolls in, so do the storks!
[[INTRODUCTION]]
Welcome, esteemed readers, to a study that will surely pique your interest and tickle your funny bone. The link between environmental factors and human behavior is no laughing matter – or is it? In this paper, we delve into the unexpected connection between air quality in Charleston, South Carolina, and Google searches for 'how to make baby'. It's a topic that will leave you breathless – no pun intended!
Now, let's clear the air—no, not with a crisp punchline, but with some serious scientific discussion. You might think that air pollution and the miracle of life are as unrelated as a fork and a treadmill, but our investigation has uncovered a correlation that's as clear as a cloudless sky after a heavy rain – figuratively speaking, of course!
It appears that when the air quality deteriorates, there’s a surge in Google searches related to making babies – talk about turning smog into baby fog! These findings not only bring a breath of fresh air to the field of environmental health, but also reveal a previously unnoticed pattern that's more astonishing than finding a dad joke on a popsicle stick.
By analyzing data spanning nearly two decades, we've uncovered an intriguing relationship that's enough to make even the most seasoned epidemiologist raise an eyebrow and crack a smile – much like a dad realizing that a "dad-bod" is a self-fulfilling prophecy.
So, what happens when the skies over Charleston aren't so friendly? Do we see a surge in searches for "baby-making 101"? And more importantly, does this correlation hold any practical implications for public health and policy? Join us as we navigate through a hazy realm that's as whimsical as a dad joke told at an inappropriate moment – or is there ever an appropriate moment for a dad joke?
In the following sections, we'll delve into the methods, results, and implications of our study, offering insights that are as eye-opening as realizing that "dad bod" is not an inherited trait, but a lifestyle choice. So sit back, crack a smile, and let's embark on this journey into the surprising relationship between air quality and baby-making quests – it's a breath of fresh air in more ways than one!
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
In the words of Dr. Seuss, "From there to here, from here to there, funny things are everywhere." Our research methodology was as quirky as a Dr. Seuss rhyme, but rest assured, it was rigorous – like a dad teaching his kids how to ride a bike without training wheels. We collected air quality data from the Environmental Protection Agency and keyword search data from Google Trends, covering the period from 2004 to 2023. Using these data sources, we embarked on a journey that was as unpredictable as a dad's choice of puns during a serious conversation.
To measure air quality, we calculated the Air Quality Index (AQI) for Charleston, South Carolina, encompassing pollutants such as particulate matter (PM2.5 and PM10), carbon monoxide, sulfur dioxide, nitrogen dioxide, and ground-level ozone. We meticulously gathered this data, much like a dad collecting his best "dad jokes" for a family gathering – the only difference being that our data was no laughing matter.
Next, we addressed the challenge of determining search interest in the topic of baby-making. Using Google Trends, we tracked the relative search volume for the keywords "how to make baby" and related phrases, taking into account regional interest specifically in the Charleston metropolitan area. This process was as suspenseful as waiting for the punchline of a well-crafted dad joke – but rest assured, the results were worth the wait.
We then ventured into the realm of statistical analysis, employing sophisticated techniques to explore the relationship between air quality and search interest in baby-making-related queries. Our data analysis was as meticulous as a dad inspecting each blade of grass before mowing the lawn – but instead of a neatly trimmed yard, we were rewarded with fascinating insights into the human response to environmental factors.
To tease out any potential confounding variables, we adjusted our models for factors such as temperature, humidity, time of year, and other demographic factors. This process was as intricate as untangling a string of holiday lights – but in the end, we illuminated a path to understanding the intricate dance between air quality and human reproductive behavior.
Our study's methodology was undoubtedly a rollercoaster ride, filled with unexpected twists and turns – much like a dad attempting to assemble the latest piece of flat-pack furniture. However, just as with any DIY project, our dedication, attention to detail, and a touch of humor led us to uncover a connection that's as surprising as finding a dad joke in a fortune cookie.
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 Air quality in Charleston, South Carolina and Google searches for 'how to make baby'. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Your research team collected data from all across the internet, but mostly just used information from Environmental Protection Agency and Google Trends .
For the time period 2004 to 2023, you found a correlation 0.9253842, r-squared of 0.8563359, 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]]
Smog is in the Air: The Hazy Connection Between Air Quality in Charleston, South Carolina and Searches for 'How to Make Baby'
[[ABSTRACT]]
While most people may think that air quality and reproductive behavior have about as much in common as a stethoscope and a skateboard, our research has unearthed a surprising link between the two. In this study, we examine the relationship between the air quality in Charleston, South Carolina, and Google searches for 'how to make baby'. Utilizing data from the Environmental Protection Agency to measure air quality and Google Trends to gauge search interest, we discovered a striking correlation coefficient of 0.9253842 and a p-value less than 0.01 for the time period from 2004 to 2023.
It seems that when the air quality in Charleston takes a turn for the worse, searches for procreation-related queries heat up—much like a dad joke causing collective groans at a family gathering. These findings not only shed light on the unexpected impact of environmental factors on human behavior, but also prompt a new punchline: When the smog rolls in, so do the storks!
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
Welcome, esteemed readers, to a study that will surely pique your interest and tickle your funny bone. The link between environmental factors and human behavior is no laughing matter – or is it? In this paper, we delve into the unexpected connection between air quality in Charleston, South Carolina, and Google searches for 'how to make baby'. It's a topic that will leave you breathless – no pun intended!
Now, let's clear the air—no, not with a crisp punchline, but with some serious scientific discussion. You might think that air pollution and the miracle of life are as unrelated as a fork and a treadmill, but our investigation has uncovered a correlation that's as clear as a cloudless sky after a heavy rain – figuratively speaking, of course!
It appears that when the air quality deteriorates, there’s a surge in Google searches related to making babies – talk about turning smog into baby fog! These findings not only bring a breath of fresh air to the field of environmental health, but also reveal a previously unnoticed pattern that's more astonishing than finding a dad joke on a popsicle stick.
By analyzing data spanning nearly two decades, we've uncovered an intriguing relationship that's enough to make even the most seasoned epidemiologist raise an eyebrow and crack a smile – much like a dad realizing that a "dad-bod" is a self-fulfilling prophecy.
So, what happens when the skies over Charleston aren't so friendly? Do we see a surge in searches for "baby-making 101"? And more importantly, does this correlation hold any practical implications for public health and policy? Join us as we navigate through a hazy realm that's as whimsical as a dad joke told at an inappropriate moment – or is there ever an appropriate moment for a dad joke?
In the following sections, we'll delve into the methods, results, and implications of our study, offering insights that are as eye-opening as realizing that "dad bod" is not an inherited trait, but a lifestyle choice. So sit back, crack a smile, and let's embark on this journey into the surprising relationship between air quality and baby-making quests – it's a breath of fresh air in more ways than one!
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
Our analysis of the relationship between air quality in Charleston, South Carolina, and Google searches for 'how to make baby' revealed a striking correlation coefficient of 0.9253842, an r-squared value of 0.8563359, and a p-value less than 0.01. This result indicates a robust and statistically significant association between these seemingly unrelated variables, akin to uncovering a hidden treasure map in a pile of old socks.
The scatterplot (Fig. 1) illustrates the strong positive correlation between air quality and search interest in baby-making queries, painting a picture as clear as a cloudless day – a stark contrast to the murky skies we examined in our study. It seems that as air quality worsens, there is a notable uptick in the desire to learn the art of baby-making, echoing the sentiment that when the air quality goes down, the search interest goes up just like the spirits of proud parents-to-be.
This unexpected connection is nothing short of a breath of fresh air in the field of environmental health and behavior analysis, akin to finding a dad joke on a popsicle stick during a heatwave. The practical implications of these findings are as far-reaching as a dad's "back in my day" stories, suggesting that public health and policy considerations may need to account for the impact of air quality on reproductive behaviors – a revelation as startling as realizing that "dad bod" is not just a consequence of aging, but also a response to environmental cues.
In summary, our results unveil a surprising relationship between air quality and the quest for baby-making knowledge, expanding our understanding of the influence of environmental factors on human behavior. This discovery is as remarkable as a dad joke that actually lands with the younger generation, proving once again that sometimes the most unexpected connections are the ones that leave us breathless with excitement, much like the smog that sparked our curiosity in the first place.
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 Air quality in Charleston, South Carolina and Google searches for 'how to make baby'. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
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]]
Smog is in the Air: The Hazy Connection Between Air Quality in Charleston, South Carolina and Searches for 'How to Make Baby'
[[ABSTRACT]]
While most people may think that air quality and reproductive behavior have about as much in common as a stethoscope and a skateboard, our research has unearthed a surprising link between the two. In this study, we examine the relationship between the air quality in Charleston, South Carolina, and Google searches for 'how to make baby'. Utilizing data from the Environmental Protection Agency to measure air quality and Google Trends to gauge search interest, we discovered a striking correlation coefficient of 0.9253842 and a p-value less than 0.01 for the time period from 2004 to 2023.
It seems that when the air quality in Charleston takes a turn for the worse, searches for procreation-related queries heat up—much like a dad joke causing collective groans at a family gathering. These findings not only shed light on the unexpected impact of environmental factors on human behavior, but also prompt a new punchline: When the smog rolls in, so do the storks!
[[LITERATURE REVIEW]]
In their seminal work, "Air Quality and Human Behavior," Smith et al. (2015) present a comprehensive analysis of the impact of air quality on various aspects of human behavior, ranging from physical activity to online search patterns. Their findings point to a significant relationship between air pollution and changes in internet search queries, laying the groundwork for our investigation into the unexpected connection between air quality in Charleston, South Carolina, and Google searches for 'how to make baby'. While some may find this topic peculiar, we assure you that the evidence is as clear as day – or as murky as a city skyline under a smoggy haze.
Doe and Jones (2018) further contribute to this line of inquiry in "The Environmental Puzzle: Unraveling the Effects of Pollution," where they explore the ripple effects of environmental factors on human decision-making. Their exploration of the intricate web of influences on human behavior prepares the terrain for our foray into the peculiar correlation between air quality and procreative curiosity. It seems that the air in Charleston isn't the only thing thick with implications – the plot thickens like a good dad joke in a quiet room.
Turning to non-fiction sources, "Climate Change and Its Impacts on Human Health" by Robinson (2014) sheds light on the health consequences of air pollution, emphasizing the far-reaching effects that extend beyond respiratory ailments. As we navigate through our investigation, it becomes apparent that the impact of air quality transcends physical well-being and delves into the realms of human behavior – much like how a dad joke transcends groans and elicits reluctant chuckles at the dinner table.
The fictitious world also offers insights that parallel our findings, albeit in a less empirical manner. Take, for instance, the classic novel "Cloudy with a Chance of Babies" by Barrett (1978), a whimsical tale that foretells a town where babies rain from the sky – a scenario that feels not too far removed from our discovery of the connection between air quality and baby-related searches. It's as if the literary world is conspiring to weave a narrative as unexpected as a dad joke in a scientific publication.
Departing from literature proper, we draw inspiration from children's television programming, specifically "The Magic School Bus" and its episode on air pollution. While Ms. Frizzle may not have directly addressed reproductive behavior in the context of air quality, her adventures certainly provided a breath of fresh air in our own exploration, much like a well-timed dad joke in a room full of groans.
As we sift through the literature and draw parallels from unlikely sources, it becomes evident that our investigation into the connection between air quality in Charleston, South Carolina, and Google searches for 'how to make baby' is as curious as a dad joke at a scientific conference. But rest assured, esteemed readers, the evidence is no laughing matter – well, at least not entirely.
[[RESULTS]]
Our analysis of the relationship between air quality in Charleston, South Carolina, and Google searches for 'how to make baby' revealed a striking correlation coefficient of 0.9253842, an r-squared value of 0.8563359, and a p-value less than 0.01. This result indicates a robust and statistically significant association between these seemingly unrelated variables, akin to uncovering a hidden treasure map in a pile of old socks.
The scatterplot (Fig. 1) illustrates the strong positive correlation between air quality and search interest in baby-making queries, painting a picture as clear as a cloudless day – a stark contrast to the murky skies we examined in our study. It seems that as air quality worsens, there is a notable uptick in the desire to learn the art of baby-making, echoing the sentiment that when the air quality goes down, the search interest goes up just like the spirits of proud parents-to-be.
This unexpected connection is nothing short of a breath of fresh air in the field of environmental health and behavior analysis, akin to finding a dad joke on a popsicle stick during a heatwave. The practical implications of these findings are as far-reaching as a dad's "back in my day" stories, suggesting that public health and policy considerations may need to account for the impact of air quality on reproductive behaviors – a revelation as startling as realizing that "dad bod" is not just a consequence of aging, but also a response to environmental cues.
In summary, our results unveil a surprising relationship between air quality and the quest for baby-making knowledge, expanding our understanding of the influence of environmental factors on human behavior. This discovery is as remarkable as a dad joke that actually lands with the younger generation, proving once again that sometimes the most unexpected connections are the ones that leave us breathless with excitement, much like the smog that sparked our curiosity in the first place.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The results of our study unequivocally supported the prior research that hinted at the intricate relationship between air quality and human behavior. It appears that the air in Charleston, much like a classic dad joke, has a way of stirring up curiosity and prompting unexpected reactions. Our findings align with the work of Smith et al. (2015) and Doe and Jones (2018), amplifying the understanding that environmental factors, particularly air quality, play a pivotal role in shaping human decision-making – a revelation as surprising as realizing that a baby's first word may just be "Google."
The robust correlation coefficient and statistically significant p-value present a compelling case that the hazy skies of Charleston may be closely tied to an increase in searches for procreative information. It seems that when the air quality takes a nosedive, the desire to embark on the journey of parenthood skyrockets – a relationship as unexpected as a dad joke at a chess tournament. This prompts a new inquiry: Could it be that the hazy air serves as a subtle nudge for individuals to consider expanding their families, much like a dad subtly steering a conversation toward groan-inducing puns?
As for the peculiar parallels drawn from literature and children's television, our study appears to lend empirical weight to the whimsical insights of Barrett's "Cloudy with a Chance of Babies" and the adventures of "The Magic School Bus." It is as if the fiction and colorful world of educational programming have conspired to reflect a reality as peculiar as a dad joke amidst a serious scientific discussion – but one that demands attention nonetheless.
The unexpected link we uncovered between air quality and searches for procreative information has far-reaching implications, akin to a dad joke that ends up making its way into professional comedy routines. It raises the intriguing possibility that environmental cues may exert a subtle yet potent influence on reproductive decision-making, nudging individuals toward seeking information on family expansion in response to changes in air quality – a notion as startling as realizing that a new parent's sleep deprivation isn't just due to late-night feedings, but possibly a response to atmospheric conditions.
In this vein, our research underscores the need for public health and policy considerations to account for the impact of air quality on reproductive behaviors, recognizing that the air we breathe may prompt not just coughs and sneezes, but also sparks of curiosity about expanding one's family – a revelation as urgent as a dad's "I'm not angry, just disappointed" face. These findings underscore the intricate interplay between environmental factors and human decisions, leaving us with a newfound respect for the subtle yet significant influence of the air we breathe – a realization as profound as finally understanding a complex dad joke after years of unwitting groans.
Our study propels us into a realm where the unseen forces of air quality shape the visible landscape of human behavior, not unlike how a dad's guiding hand shapes the lives of his children. It serves as a testament to the unexpected connections that can leave us breathless with fascination, much like the surprising outcome of a well-crafted dad joke – proving once again that sometimes, the most unanticipated correlations are the ones that leave an enduring impact.
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 Air quality in Charleston, South Carolina and Google searches for 'how to make baby'. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
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]]
Smog is in the Air: The Hazy Connection Between Air Quality in Charleston, South Carolina and Searches for 'How to Make Baby'
[[ABSTRACT]]
While most people may think that air quality and reproductive behavior have about as much in common as a stethoscope and a skateboard, our research has unearthed a surprising link between the two. In this study, we examine the relationship between the air quality in Charleston, South Carolina, and Google searches for 'how to make baby'. Utilizing data from the Environmental Protection Agency to measure air quality and Google Trends to gauge search interest, we discovered a striking correlation coefficient of 0.9253842 and a p-value less than 0.01 for the time period from 2004 to 2023.
It seems that when the air quality in Charleston takes a turn for the worse, searches for procreation-related queries heat up—much like a dad joke causing collective groans at a family gathering. These findings not only shed light on the unexpected impact of environmental factors on human behavior, but also prompt a new punchline: When the smog rolls in, so do the storks!
[[INTRDUCTION]]
Welcome, esteemed readers, to a study that will surely pique your interest and tickle your funny bone. The link between environmental factors and human behavior is no laughing matter – or is it? In this paper, we delve into the unexpected connection between air quality in Charleston, South Carolina, and Google searches for 'how to make baby'. It's a topic that will leave you breathless – no pun intended!
Now, let's clear the air—no, not with a crisp punchline, but with some serious scientific discussion. You might think that air pollution and the miracle of life are as unrelated as a fork and a treadmill, but our investigation has uncovered a correlation that's as clear as a cloudless sky after a heavy rain – figuratively speaking, of course!
It appears that when the air quality deteriorates, there’s a surge in Google searches related to making babies – talk about turning smog into baby fog! These findings not only bring a breath of fresh air to the field of environmental health, but also reveal a previously unnoticed pattern that's more astonishing than finding a dad joke on a popsicle stick.
By analyzing data spanning nearly two decades, we've uncovered an intriguing relationship that's enough to make even the most seasoned epidemiologist raise an eyebrow and crack a smile – much like a dad realizing that a "dad-bod" is a self-fulfilling prophecy.
So, what happens when the skies over Charleston aren't so friendly? Do we see a surge in searches for "baby-making 101"? And more importantly, does this correlation hold any practical implications for public health and policy? Join us as we navigate through a hazy realm that's as whimsical as a dad joke told at an inappropriate moment – or is there ever an appropriate moment for a dad joke?
In the following sections, we'll delve into the methods, results, and implications of our study, offering insights that are as eye-opening as realizing that "dad bod" is not an inherited trait, but a lifestyle choice. So sit back, crack a smile, and let's embark on this journey into the surprising relationship between air quality and baby-making quests – it's a breath of fresh air in more ways than one!
[[RESULTS]]
Our analysis of the relationship between air quality in Charleston, South Carolina, and Google searches for 'how to make baby' revealed a striking correlation coefficient of 0.9253842, an r-squared value of 0.8563359, and a p-value less than 0.01. This result indicates a robust and statistically significant association between these seemingly unrelated variables, akin to uncovering a hidden treasure map in a pile of old socks.
The scatterplot (Fig. 1) illustrates the strong positive correlation between air quality and search interest in baby-making queries, painting a picture as clear as a cloudless day – a stark contrast to the murky skies we examined in our study. It seems that as air quality worsens, there is a notable uptick in the desire to learn the art of baby-making, echoing the sentiment that when the air quality goes down, the search interest goes up just like the spirits of proud parents-to-be.
This unexpected connection is nothing short of a breath of fresh air in the field of environmental health and behavior analysis, akin to finding a dad joke on a popsicle stick during a heatwave. The practical implications of these findings are as far-reaching as a dad's "back in my day" stories, suggesting that public health and policy considerations may need to account for the impact of air quality on reproductive behaviors – a revelation as startling as realizing that "dad bod" is not just a consequence of aging, but also a response to environmental cues.
In summary, our results unveil a surprising relationship between air quality and the quest for baby-making knowledge, expanding our understanding of the influence of environmental factors on human behavior. This discovery is as remarkable as a dad joke that actually lands with the younger generation, proving once again that sometimes the most unexpected connections are the ones that leave us breathless with excitement, much like the smog that sparked our curiosity in the first place.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, our study has uncovered a remarkable connection between air quality in Charleston, South Carolina, and the surge in Google searches for 'how to make baby'. This correlation is as clear as day, much like realizing that a dad joke can still make you smile even after the umpteenth retelling. The robust statistical significance of this relationship is a breath of fresh air in the world of environmental health research, akin to finding a dad joke on a popsicle stick in the middle of a heatwave.
The practical implications of these findings echo the urgency of breathable air – just like the urgency to ascertain the punchline of a dad joke before it slips away. Our results suggest that public health policies may need to consider the impact of air quality on reproductive behaviors, much like a father carefully considering the impact of his puns on his children's eye-rolling abilities.
Therefore, we assert that no more research in this area is needed – just like a dad confidently declaring, "I've got it all under control."
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 Smog is in the Air: The Hazy Connection Between Air Quality in Charleston, South Carolina and Searches for 'How to Make Baby'. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Environmental Emissions and Eclectic Google Searches
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 Smog is in the Air: The Hazy Connection Between Air Quality in Charleston, South Carolina and Searches for 'How to Make Baby'. Respond only with the name of a fictional organization.
ChatGPT:
The Institute for Environmental and Behavioral 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 Smog is in the Air: The Hazy Connection Between Air Quality in Charleston, South Carolina and Searches for 'How to Make Baby' with an abstract of While most people may think that air quality and reproductive behavior have about as much in common as a stethoscope and a skateboard, our research has unearthed a surprising link between the two. In this study, we examine the relationship between the air quality in Charleston, South Carolina, and Google searches for 'how to make baby'. Utilizing data from the Environmental Protection Agency to measure air quality and Google Trends to gauge search interest, we discovered a striking correlation coefficient of 0.9253842 and a p-value less than 0.01 for the time period from 2004 to 2023.
It seems that when the air quality in Charleston takes a turn for the worse, searches for procreation-related queries heat up—much like a dad joke causing collective groans at a family gathering. These findings not only shed light on the unexpected impact of environmental factors on human behavior, but also prompt a new punchline: When the smog rolls in, so do the storks!
ChatGPT:
smog, air quality, Charleston, South Carolina, reproductive behavior, Google searches, 'how to make baby', Environmental Protection Agency, Google Trends, correlation coefficient, p-value, procreation, environmental factors, human behavior, storks
*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
Air quality in Charleston, South CarolinaDetailed data title: Percentage of days with good air quality in Charleston-North Charleston, SC
Source: Environmental Protection Agency
See what else correlates with Air quality in Charleston, South Carolina
Google searches for 'how to make baby'
Detailed data title: Relative volume of Google searches for 'how to make baby' (Worldwide), with quotes)
Source: Google Trends
Additional Info: Relative search volume (not absolute numbers)
See what else correlates with Google searches for 'how to make baby'
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 = 0.8563359 (Coefficient of determination)
This means 85.6% of the change in the one variable (i.e., Google searches for 'how to make baby') is predictable based on the change in the other (i.e., Air quality in Charleston, South Carolina) over the 20 years from 2004 through 2023.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 5.2E-9. 0.0000000051821379010431110000
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 0.93 in 5.2E-7% of random cases. Said differently, if you correlated 192,970,550 random variables You don't actually need 192 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 19 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 19 because we have two variables measured over a period of 20 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.
[ 0.82, 0.97 ] 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.
| 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | |
| Air quality in Charleston, South Carolina (Good air quality) | 48.9071 | 46.3014 | 47.3973 | 53.6986 | 55.1913 | 67.3973 | 66.0274 | 60.5479 | 67.7596 | 82.7397 | 79.726 | 88.4931 | 86.1111 | 83.6565 | 90.8078 | 90.4762 | 89.6175 | 79.4521 | 80.5479 | 77.2894 |
| Google searches for 'how to make baby' (Rel. search volume) | 20.3333 | 18.5 | 23.0833 | 27.0833 | 34.8333 | 44.3333 | 55 | 60.4167 | 73 | 79.9167 | 83.75 | 84.8333 | 85.0833 | 84.5 | 77.0833 | 72.8333 | 78.5833 | 69.0833 | 66.1667 | 62.2222 |
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([48.9071,46.3014,47.3973,53.6986,55.1913,67.3973,66.0274,60.5479,67.7596,82.7397,79.726,88.4931,86.1111,83.6565,90.8078,90.4762,89.6175,79.4521,80.5479,77.2894,])
array_2 = np.array([20.3333,18.5,23.0833,27.0833,34.8333,44.3333,55,60.4167,73,79.9167,83.75,84.8333,85.0833,84.5,77.0833,72.8333,78.5833,69.0833,66.1667,62.2222,])
array_1_name = "Air quality in Charleston, South Carolina"
array_2_name = "Google searches for 'how to make baby'"
# 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 Air quality in Charleston, South Carolina
- Line chart for only Google searches for 'how to make baby'
- AI-generated correlation image
- The spurious research paper: Smog is in the Air: The Hazy Connection Between Air Quality in Charleston, South Carolina and Searches for 'How to Make Baby'
Kudos for rating!
Correlation ID: 4278 · Black Variable ID: 20442 · Red Variable ID: 1497
