Spurious correlation #3,954 · View random

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AI explanation

As air pollution in Athens, Tennessee decreased, it led to an unexpected side effect: the local seagull population suddenly had more energy and enthusiasm. These highly motivated seagulls decided to embark on a new adventure and, after a brief but intense training montage, they set off for the U.S. Virgin Islands. Unbeknownst to the residents, these ambitious avian aviators were on a mission to form a synchronized flying team, complete with elaborate aerial acrobatics and mid-air routines. To their delight, the seagulls discovered that the jet fuel in the U.S. Virgin Islands was their ticket to achieving flight perfection. As the word spread throughout the bird community, more and more seagulls flocked to the islands, leading to a substantial increase in demand for jet fuel. Eventually, the local authorities had to implement seagull-specific flight regulations and establish designated airspaces, bringing a whole new meaning to the phrase "fly like a bird." In conclusion, the decrease in air pollution in Athens, Tennessee unexpectedly fueled a surge in seagull entertainment in the U.S. Virgin Islands, proving that when it comes to the interconnectedness of the world, the sky's the limit!

^{Show image generation prompt} Model: dalle-3
Prompt: Generate a comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s. Depict a scene where in Athens, Tennessee, a dense cloud of smog hovers over the town, with cars and factories emitting thick plumes of smoke. Within this pollution, tiny particles sprout cartoonish eyes and mischievous smiles, as they proudly hijack a commercial airliner passing through the polluted airspace. The pilot looks bewildered as the sentient pollution particles demand to be taken to the U.S. Virgin Islands to start a new life as jet fuel, while a trail of jet fuel emissions can be seen in the background. Ensure that the visual depiction is simple and does not include any words or speech bubbles. Improve the nuances of the dotted halftone pattern to reflect the 1960s comic book style. The depiction should include only scenes, people, and objects, it should not include text or speech bubbles.

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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 pollution in Athens, Tennessee and Jet fuel used in U.S. Virgin Islands. 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: Macabre Glitch art Oragami A comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s Macabre
ChatGPT: A comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s

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 pollution in Athens, Tennessee and Jet fuel used in U.S. Virgin Islands, in the following situation: Increased air pollution in Athens, Tennessee led to the formation of sentient pollution particles which hijacked a passing commercial airliner and demanded to be taken to the U.S. Virgin Islands to start a new life as jet fuel.. Keep the description simple.
ChatGPT: In Athens, Tennessee, a dense cloud of smog hovers over the town, with cars and factories emitting thick plumes of smoke. Within this pollution, tiny particles sprout cartoonish eyes and mischievous smiles, as they proudly hijack a commercial airliner passing through the polluted airspace. The pilot looks bewildered as the sentient pollution particles demand to be taken to the U.S. Virgin Islands to start a new life as jet fuel, while a trail of jet fuel emissions can be seen in the background.

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: [ A comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s ] and depicting this scene: In Athens, Tennessee, a dense cloud of smog hovers over the town, with cars and factories emitting thick plumes of smoke. Within this pollution, tiny particles sprout cartoonish eyes and mischievous smiles, as they proudly hijack a commercial airliner passing through the polluted airspace. The pilot looks bewildered as the sentient pollution particles demand to be taken to the U.S. Virgin Islands to start a new life as jet fuel, while a trail of jet fuel emissions can be seen in the background. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate a comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s. Depict a scene where in Athens, Tennessee, a dense cloud of smog hovers over the town, with cars and factories emitting thick plumes of smoke. Within this pollution, tiny particles sprout cartoonish eyes and mischievous smiles, as they proudly hijack a commercial airliner passing through the polluted airspace. The pilot looks bewildered as the sentient pollution particles demand to be taken to the U.S. Virgin Islands to start a new life as jet fuel, while a trail of jet fuel emissions can be seen in the background. Ensure that the visual depiction is simple and does not include any words or speech bubbles. Improve the nuances of the dotted halftone pattern to reflect the 1960s comic book style.

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

I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.
^{Show prompt for explanation} Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how a decrease in Air pollution in Athens, Tennessee caused Jet fuel used in U.S. Virgin Islands to decrease.\Make it sound serious until the end.

---

AI academic paper

(Because p < 0.01)

The Sky's the Limit: Unraveling the Air-y Connection Between Air Pollution in Athens, Tennessee and Jet Fuel in U.S. Virgin Islands The Journal of Atmospheric Anecdotes Jan 2024 Reminder: This paper is AI-generated. Not real!

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

---

Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.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 pollution in Athens, Tennessee and Jet fuel used in U.S. Virgin Islands. Make lots of jokes, goofy observations, and puns.

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

Your research team used data from Environmental Protection Agency and Energy Information Administration to assess this nagging question. You found a correlation coefficient of 0.5584952 and p < 0.01 for 1986 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]]
"The Sky's the Limit: Unraveling the Air-y Connection Between Air Pollution in Athens, Tennessee and Jet Fuel in U.S. Virgin Islands"

[[ABSTRACT]]
In this study, we set out to investigate the puzzling relationship between air pollution levels in Athens, Tennessee, and the utilization of jet fuel in the U.S. Virgin Islands. Employing data from the Environmental Protection Agency and the Energy Information Administration spanning from 1986 to 2021, we were able to uncover a surprising correlation coefficient of 0.5584952, with a significant p-value of less than 0.01. Our findings exhibit a clear link between the two seemingly unrelated factors, shedding light on a potentially impactful connection that has been flying under the radar. This research not only fuels the debate on air quality and energy consumption but also aims to propel awareness about the profound interdependence of environmental factors, all while delivering a stellar blend of statistical analysis and a touch of sky-high humor.

---

Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.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 pollution in Athens, Tennessee and Jet fuel used in U.S. Virgin Islands. Make lots of jokes, goofy observations, and puns.

Here is the title and abstract of the paper:
[[TITLE]]
"The Sky's the Limit: Unraveling the Air-y Connection Between Air Pollution in Athens, Tennessee and Jet Fuel in U.S. Virgin Islands"

[[ABSTRACT]]
In this study, we set out to investigate the puzzling relationship between air pollution levels in Athens, Tennessee, and the utilization of jet fuel in the U.S. Virgin Islands. Employing data from the Environmental Protection Agency and the Energy Information Administration spanning from 1986 to 2021, we were able to uncover a surprising correlation coefficient of 0.5584952, with a significant p-value of less than 0.01. Our findings exhibit a clear link between the two seemingly unrelated factors, shedding light on a potentially impactful connection that has been flying under the radar. This research not only fuels the debate on air quality and energy consumption but also aims to propel awareness about the profound interdependence of environmental factors, all while delivering a stellar blend of statistical analysis and a touch of sky-high humor.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

Ladies and gentlemen, fasten your seatbelts and prepare for a journey of statistical discovery as we unravel the "air-y" connection between air pollution in Athens, Tennessee and the utilization of jet fuel in the U.S. Virgin Islands. While the phrase "what goes up must come down" might usually apply to projectile motion, in this study, we are exploring the implications of what goes up and lingers around in the sky, influencing air quality thousands of miles away.

The link between air pollution and jet fuel might seem as distant as the two locations themselves, but as we dig into the data from the Environmental Protection Agency and the Energy Information Administration, we are presented with a captivating statistical narrative that leaves even the most seasoned researchers pleasantly surprised. After all, who would have thought that the pungent odor at the local gas station in Athens, Tennessee, could have any conceivable relationship with the jet-setting lifestyle of the U.S. Virgin Islands?

We embarked on this research journey with a mix of curiosity and skepticism, but our findings exceeded our wildest expectations. The correlation coefficient of 0.5584952 that we uncovered made us raise an eyebrow while reaching for our calculators – a clear indication that there's something more than just turbulence in the air. With a p-value of less than 0.01, it becomes evident that this connection is not merely a coincidence but a statistically significant association that begs further exploration.

As we ascend into the stratosphere of statistical analysis, we aim to not only elucidate the perplexing link between these disparate elements but also to shine a light on the profound interdependence of environmental factors. Yes, folks, it turns out that the trail of emissions left behind by jet fuel doesn't just evaporate into thin air – it's got its eyes (or should we say aerosols?) on the air quality in unexpected locales.

So, buckle up and prepare for a scientific rollercoaster ride, because what lies ahead isn't just a dry presentation of statistics; it's a blend of empirical evidence and a touch of sky-high humor that aims to leave you both informed and entertained. Let's embark on this research expedition together and see where the winds of statistical inquiry take us!

---

Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a literature review section of an academic research paper presenting the findings of the connection between Air pollution in Athens, Tennessee and Jet fuel used in U.S. Virgin Islands. Make lots of jokes, goofy observations, and puns.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then cite some social media posts you read that seem to be related.

Here is the title and abstract of the paper:
[[TITLE]]
"The Sky's the Limit: Unraveling the Air-y Connection Between Air Pollution in Athens, Tennessee and Jet Fuel in U.S. Virgin Islands"

[[ABSTRACT]]
In this study, we set out to investigate the puzzling relationship between air pollution levels in Athens, Tennessee, and the utilization of jet fuel in the U.S. Virgin Islands. Employing data from the Environmental Protection Agency and the Energy Information Administration spanning from 1986 to 2021, we were able to uncover a surprising correlation coefficient of 0.5584952, with a significant p-value of less than 0.01. Our findings exhibit a clear link between the two seemingly unrelated factors, shedding light on a potentially impactful connection that has been flying under the radar. This research not only fuels the debate on air quality and energy consumption but also aims to propel awareness about the profound interdependence of environmental factors, all while delivering a stellar blend of statistical analysis and a touch of sky-high humor.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
Ladies and gentlemen, fasten your seatbelts and prepare for a journey of statistical discovery as we unravel the "air-y" connection between air pollution in Athens, Tennessee and the utilization of jet fuel in the U.S. Virgin Islands. While the phrase "what goes up must come down" might usually apply to projectile motion, in this study, we are exploring the implications of what goes up and lingers around in the sky, influencing air quality thousands of miles away.
The link between air pollution and jet fuel might seem as distant as the two locations themselves, but as we dig into the data from the Environmental Protection Agency and the Energy Information Administration, we are presented with a captivating statistical narrative that leaves even the most seasoned researchers pleasantly surprised. After all, who would have thought that the pungent odor at the local gas station in Athens, Tennessee, could have any conceivable relationship with the jet-setting lifestyle of the U.S. Virgin Islands?
We embarked on this research journey with a mix of curiosity and skepticism, but our findings exceeded our wildest expectations. The correlation coefficient of 0.5584952 that we uncovered made us raise an eyebrow while reaching for our calculators – a clear indication that there's something more than just turbulence in the air. With a p-value of less than 0.01, it becomes evident that this connection is not merely a coincidence but a statistically significant association that begs further exploration.
As we ascend into the stratosphere of statistical analysis, we aim to not only elucidate the perplexing link between these disparate elements but also to shine a light on the profound interdependence of environmental factors. Yes, folks, it turns out that the trail of emissions left behind by jet fuel doesn't just evaporate into thin air – it's got its eyes (or should we say aerosols?) on the air quality in unexpected locales.
So, buckle up and prepare for a scientific rollercoaster ride, because what lies ahead isn't just a dry presentation of statistics; it's a blend of empirical evidence and a touch of sky-high humor that aims to leave you both informed and entertained. Let's embark on this research expedition together and see where the winds of statistical inquiry take us!

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
LITERATURE REVIEW

As we soar into the realm of scholarly literature to unravel the perplexing connection between air pollution in Athens, Tennessee, and the utilization of jet fuel in the U.S. Virgin Islands, we encounter a bevy of studies that address various aspects of air quality, fuel consumption, and their interplay. Smith et al. (2015) delve into the impact of aircraft emissions on ambient air quality, shedding light on the wide-ranging effects of jet fuel combustion on atmospheric pollutants. Meanwhile, Doe and Jones (2018) present a comprehensive analysis of fuel consumption patterns across different transportation modes, offering valuable insights into the environmental ramifications of jet fuel usage.

But fear not, dear reader, for we are now about to take a detour from the well-trodden path of serious academic publications and venture into uncharted territory - the world of non-fiction books with seemingly relevant titles. "Up in the Air: The Real Story Behind Jet Fuel" by Aviation Enthusiast provides a captivating peek into the world of aviation fuel, unveiling the secrets and mysteries that hide behind the innocent-looking pumps at airports. On a more journalistic note, "Polluted Skies: Uncovering the Truth About Urban Air Quality" by Environmental Reporter offers a riveting exposé of the perils of air pollution, raising important questions about its distant influences and unexpected associations.

As we continue our literary expedition, we stumble upon the realm of fiction – yes, you heard that right, fiction. Brace yourselves for the unexpected as we cite "Stratospheric Suspicion" by Mystery Novelist Extraordinaire, a thrilling page-turner that unravels a conspiracy involving clandestine jet fuel operations and their elusive ties to an unsuspecting small town in Tennessee. And who could forget "Island Mysteries: Secrets of the Caribbean" by Bestselling Author, a captivating tale of intrigue and enigma set in none other than the U.S. Virgin Islands, where the seemingly idyllic scenery conceals an ominous presence of jet fuel's influence on the air quality.

But wait, there's more – we would be remiss not to acknowledge the unprecedented insights gleaned from less traditional sources. Recent social media musings have brought attention to the unexpected findings of a local resident in Athens, Tennessee, who humorously quipped, "I always thought the fumes from the nearby airport were just adding some 'flavor' to our air, but now I realize it's a serious statistical matter!" The wit and wisdom of the internet never fail to surprise us with their pithy commentary on the quirkier aspects of statistical inquiry.

In conclusion, as we traverse the landscape of scholarly discourse, non-fiction literature, and even the whimsical allure of fiction and social media, we are reminded that statistical inquiry can be a delightful blend of wit and wisdom. Our literature review not only brings to light the academic underpinnings of our investigation but also infuses a touch of sky-high humor into the discussion. So, fasten your seatbelts, dear reader, for the journey has just begun - and it promises to be an exhilarating one!

---

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

Please make up the methodology section of an academic research paper presenting the findings of the connection between Air pollution in Athens, Tennessee and Jet fuel used in U.S. Virgin Islands. Make lots of jokes, goofy observations, and puns.

Your research team collected data from all across the internet, but mostly just used information from Environmental Protection Agency and Energy Information Administration . You used data from 1986 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]]
"The Sky's the Limit: Unraveling the Air-y Connection Between Air Pollution in Athens, Tennessee and Jet Fuel in U.S. Virgin Islands"

[[ABSTRACT]]
In this study, we set out to investigate the puzzling relationship between air pollution levels in Athens, Tennessee, and the utilization of jet fuel in the U.S. Virgin Islands. Employing data from the Environmental Protection Agency and the Energy Information Administration spanning from 1986 to 2021, we were able to uncover a surprising correlation coefficient of 0.5584952, with a significant p-value of less than 0.01. Our findings exhibit a clear link between the two seemingly unrelated factors, shedding light on a potentially impactful connection that has been flying under the radar. This research not only fuels the debate on air quality and energy consumption but also aims to propel awareness about the profound interdependence of environmental factors, all while delivering a stellar blend of statistical analysis and a touch of sky-high humor.

[[INTRODUCTION]]
Ladies and gentlemen, fasten your seatbelts and prepare for a journey of statistical discovery as we unravel the "air-y" connection between air pollution in Athens, Tennessee and the utilization of jet fuel in the U.S. Virgin Islands. While the phrase "what goes up must come down" might usually apply to projectile motion, in this study, we are exploring the implications of what goes up and lingers around in the sky, influencing air quality thousands of miles away.
The link between air pollution and jet fuel might seem as distant as the two locations themselves, but as we dig into the data from the Environmental Protection Agency and the Energy Information Administration, we are presented with a captivating statistical narrative that leaves even the most seasoned researchers pleasantly surprised. After all, who would have thought that the pungent odor at the local gas station in Athens, Tennessee, could have any conceivable relationship with the jet-setting lifestyle of the U.S. Virgin Islands?
We embarked on this research journey with a mix of curiosity and skepticism, but our findings exceeded our wildest expectations. The correlation coefficient of 0.5584952 that we uncovered made us raise an eyebrow while reaching for our calculators – a clear indication that there's something more than just turbulence in the air. With a p-value of less than 0.01, it becomes evident that this connection is not merely a coincidence but a statistically significant association that begs further exploration.
As we ascend into the stratosphere of statistical analysis, we aim to not only elucidate the perplexing link between these disparate elements but also to shine a light on the profound interdependence of environmental factors. Yes, folks, it turns out that the trail of emissions left behind by jet fuel doesn't just evaporate into thin air – it's got its eyes (or should we say aerosols?) on the air quality in unexpected locales.
So, buckle up and prepare for a scientific rollercoaster ride, because what lies ahead isn't just a dry presentation of statistics; it's a blend of empirical evidence and a touch of sky-high humor that aims to leave you both informed and entertained. Let's embark on this research expedition together and see where the winds of statistical inquiry take us!

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To unravel the enigmatic relationship between air pollution in Athens, Tennessee and the utilization of jet fuel in the U.S. Virgin Islands, our research team embarked on a data-gathering mission that took us on a statistical odyssey. We scoured the vast expanse of the internet, with our compass pointed squarely at databases from the Environmental Protection Agency and the Energy Information Administration. The journey was not without its bumps in the road, but with the wind beneath our statistical wings, we culled data ranging from 1986 to 2021 to paint a comprehensive picture of our skyward quest.

Our first step on this data trek was to wrangle and tame the voluminous troves of information related to air quality measurements in Athens, Tennessee. From particulate matter to volatile organic compounds, we captured a kaleidoscope of pollutants that linger in the Tennessee air, waiting to make their statistical debut. In tandem, we turned our gaze towards the usage of jet fuel in the U.S. Virgin Islands, diving into a sea of energy consumption statistics and aircraft fueling data to uncover the jet stream of information that would fuel our analysis.

Now, buckle up for the twist in our methodological tale! Our research team was not content with merely skimming the surface of publicly available data; no, we endeavored to inject a bit of statistical altitude into our study, utilizing multivariate regression analysis to tease out the potential confounding variables that might hover over our findings. Our statistical radar was finely tuned to detect any unexpected turbulence that might threaten to cloud the clarity of our results.

Furthermore, in our quest for statistical rigor, we employed advanced time series analysis techniques to chart the temporal evolution of air pollution in Athens, Tennessee, and the consumption of jet fuel in the U.S. Virgin Islands. Through these methods, we aimed to discern any cyclical patterns or long-term trends that might whisper secrets about the intertwined fate of these seemingly distant phenomena.

With an arsenal of statistical tools at our disposal, we proceeded to engage in a dance with the numbers, conducting correlation analysis that would either confirm or refute the existence of a significant link between air pollution in Athens, Tennessee and jet fuel usage in the U.S. Virgin Islands. We conducted tests with an alpha level set to delight even the most discerning of statisticians, and our findings took flight under the scrutiny of rigorous hypothesis testing.

Our methodological voyage was not without its challenges, but armed with data, statistical acumen, and just a hint of whimsy, we set our sights on uncovering the air-y connection that has sent shockwaves through the scientific community. Join us on this statistical escapade as we navigate the winds of methodological precision and soar through the stratosphere of empirical investigation, shedding light on a connection that's just waiting to take flight in the annals of environmental research!

---

Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.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 pollution in Athens, Tennessee and Jet fuel used in U.S. Virgin Islands. Make lots of jokes, goofy observations, and puns.

Your research team collected data from all across the internet, but mostly just used information from Environmental Protection Agency and Energy Information Administration .

For the time period 1986 to 2021, you found a correlation 0.5584952, r-squared of 0.3119169, 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]]
"The Sky's the Limit: Unraveling the Air-y Connection Between Air Pollution in Athens, Tennessee and Jet Fuel in U.S. Virgin Islands"

[[ABSTRACT]]
In this study, we set out to investigate the puzzling relationship between air pollution levels in Athens, Tennessee, and the utilization of jet fuel in the U.S. Virgin Islands. Employing data from the Environmental Protection Agency and the Energy Information Administration spanning from 1986 to 2021, we were able to uncover a surprising correlation coefficient of 0.5584952, with a significant p-value of less than 0.01. Our findings exhibit a clear link between the two seemingly unrelated factors, shedding light on a potentially impactful connection that has been flying under the radar. This research not only fuels the debate on air quality and energy consumption but also aims to propel awareness about the profound interdependence of environmental factors, all while delivering a stellar blend of statistical analysis and a touch of sky-high humor.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
Ladies and gentlemen, fasten your seatbelts and prepare for a journey of statistical discovery as we unravel the "air-y" connection between air pollution in Athens, Tennessee and the utilization of jet fuel in the U.S. Virgin Islands. While the phrase "what goes up must come down" might usually apply to projectile motion, in this study, we are exploring the implications of what goes up and lingers around in the sky, influencing air quality thousands of miles away.
The link between air pollution and jet fuel might seem as distant as the two locations themselves, but as we dig into the data from the Environmental Protection Agency and the Energy Information Administration, we are presented with a captivating statistical narrative that leaves even the most seasoned researchers pleasantly surprised. After all, who would have thought that the pungent odor at the local gas station in Athens, Tennessee, could have any conceivable relationship with the jet-setting lifestyle of the U.S. Virgin Islands?
We embarked on this research journey with a mix of curiosity and skepticism, but our findings exceeded our wildest expectations. The correlation coefficient of 0.5584952 that we uncovered made us raise an eyebrow while reaching for our calculators – a clear indication that there's something more than just turbulence in the air. With a p-value of less than 0.01, it becomes evident that this connection is not merely a coincidence but a statistically significant association that begs further exploration.
As we ascend into the stratosphere of statistical analysis, we aim to not only elucidate the perplexing link between these disparate elements but also to shine a light on the profound interdependence of environmental factors. Yes, folks, it turns out that the trail of emissions left behind by jet fuel doesn't just evaporate into thin air – it's got its eyes (or should we say aerosols?) on the air quality in unexpected locales.
So, buckle up and prepare for a scientific rollercoaster ride, because what lies ahead isn't just a dry presentation of statistics; it's a blend of empirical evidence and a touch of sky-high humor that aims to leave you both informed and entertained. Let's embark on this research expedition together and see where the winds of statistical inquiry take us!

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

In our investigation of the "air-y" connection between air pollution in Athens, Tennessee and the utilization of jet fuel in the U.S. Virgin Islands, we uncovered a surprising correlation coefficient of 0.5584952, accompanied by an r-squared value of 0.3119169 for the time period spanning from 1986 to 2021. If that doesn't take your breath away, the significance level, with a p-value of less than 0.01, certainly will!

The scatterplot (Fig. 1) illustrates the strong correlation between these two seemingly unrelated variables, akin to two long-lost friends finally finding each other in the statistical sky.

The findings of this study hint at a connection that's more than just thin air - it seems that the presence of jet fuel emissions in one location has a tangible impact on air quality in a distant locale. This unexpected relationship not only tickles the funny bone but also propels awareness about the intricate web of environmental factors that extend far beyond our immediate surroundings.

The statistical evidence presented here isn't just a flight of fancy; it's a testament to the far-reaching implications of seemingly disparate elements taking up residence in the statistical stratosphere.

---

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

Please make up the discussion section of an academic research paper presenting the findings of the connection between Air pollution in Athens, Tennessee and Jet fuel used in U.S. Virgin Islands. Make lots of jokes, goofy observations, and puns.

Limit your response to 500 tokens.

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

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

[[TITLE]]
"The Sky's the Limit: Unraveling the Air-y Connection Between Air Pollution in Athens, Tennessee and Jet Fuel in U.S. Virgin Islands"

[[ABSTRACT]]
In this study, we set out to investigate the puzzling relationship between air pollution levels in Athens, Tennessee, and the utilization of jet fuel in the U.S. Virgin Islands. Employing data from the Environmental Protection Agency and the Energy Information Administration spanning from 1986 to 2021, we were able to uncover a surprising correlation coefficient of 0.5584952, with a significant p-value of less than 0.01. Our findings exhibit a clear link between the two seemingly unrelated factors, shedding light on a potentially impactful connection that has been flying under the radar. This research not only fuels the debate on air quality and energy consumption but also aims to propel awareness about the profound interdependence of environmental factors, all while delivering a stellar blend of statistical analysis and a touch of sky-high humor.

[[LITERATURE REVIEW]]
LITERATURE REVIEW
As we soar into the realm of scholarly literature to unravel the perplexing connection between air pollution in Athens, Tennessee, and the utilization of jet fuel in the U.S. Virgin Islands, we encounter a bevy of studies that address various aspects of air quality, fuel consumption, and their interplay. Smith et al. (2015) delve into the impact of aircraft emissions on ambient air quality, shedding light on the wide-ranging effects of jet fuel combustion on atmospheric pollutants. Meanwhile, Doe and Jones (2018) present a comprehensive analysis of fuel consumption patterns across different transportation modes, offering valuable insights into the environmental ramifications of jet fuel usage.
But fear not, dear reader, for we are now about to take a detour from the well-trodden path of serious academic publications and venture into uncharted territory - the world of non-fiction books with seemingly relevant titles. "Up in the Air: The Real Story Behind Jet Fuel" by Aviation Enthusiast provides a captivating peek into the world of aviation fuel, unveiling the secrets and mysteries that hide behind the innocent-looking pumps at airports. On a more journalistic note, "Polluted Skies: Uncovering the Truth About Urban Air Quality" by Environmental Reporter offers a riveting exposé of the perils of air pollution, raising important questions about its distant influences and unexpected associations.
As we continue our literary expedition, we stumble upon the realm of fiction – yes, you heard that right, fiction. Brace yourselves for the unexpected as we cite "Stratospheric Suspicion" by Mystery Novelist Extraordinaire, a thrilling page-turner that unravels a conspiracy involving clandestine jet fuel operations and their elusive ties to an unsuspecting small town in Tennessee. And who could forget "Island Mysteries: Secrets of the Caribbean" by Bestselling Author, a captivating tale of intrigue and enigma set in none other than the U.S. Virgin Islands, where the seemingly idyllic scenery conceals an ominous presence of jet fuel's influence on the air quality.
But wait, there's more – we would be remiss not to acknowledge the unprecedented insights gleaned from less traditional sources. Recent social media musings have brought attention to the unexpected findings of a local resident in Athens, Tennessee, who humorously quipped, "I always thought the fumes from the nearby airport were just adding some 'flavor' to our air, but now I realize it's a serious statistical matter!" The wit and wisdom of the internet never fail to surprise us with their pithy commentary on the quirkier aspects of statistical inquiry.
In conclusion, as we traverse the landscape of scholarly discourse, non-fiction literature, and even the whimsical allure of fiction and social media, we are reminded that statistical inquiry can be a delightful blend of wit and wisdom. Our literature review not only brings to light the academic underpinnings of our investigation but also infuses a touch of sky-high humor into the discussion. So, fasten your seatbelts, dear reader, for the journey has just begun - and it promises to be an exhilarating one!

[[RESULTS]]
In our investigation of the "air-y" connection between air pollution in Athens, Tennessee and the utilization of jet fuel in the U.S. Virgin Islands, we uncovered a surprising correlation coefficient of 0.5584952, accompanied by an r-squared value of 0.3119169 for the time period spanning from 1986 to 2021. If that doesn't take your breath away, the significance level, with a p-value of less than 0.01, certainly will!
The scatterplot (Fig. 1) illustrates the strong correlation between these two seemingly unrelated variables, akin to two long-lost friends finally finding each other in the statistical sky.
The findings of this study hint at a connection that's more than just thin air - it seems that the presence of jet fuel emissions in one location has a tangible impact on air quality in a distant locale. This unexpected relationship not only tickles the funny bone but also propels awareness about the intricate web of environmental factors that extend far beyond our immediate surroundings.
The statistical evidence presented here isn't just a flight of fancy; it's a testament to the far-reaching implications of seemingly disparate elements taking up residence in the statistical stratosphere.

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Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

Our findings have taken us on a turbulent ride through the atmospheric intersections of jet fuel usage and air pollution, and the results are nothing short of breathtaking! The statistically significant correlation coefficient of 0.5584952 that we uncovered between air pollution in Athens, Tennessee, and the utilization of jet fuel in the U.S. Virgin Islands provides robust support for the prior research.

As we revisit the whimsical literature review, the seemingly lighthearted musings of a local resident in Athens, Tennessee who humorously joked about the airport fumes adding "flavor" to their air now seem eerily prescient. It turns out that this quip wasn't just a flight of fancy, but rather a subtle nod to what our statistical analysis would ultimately unveil. The engaging world of non-fiction books, including "Up in the Air: The Real Story Behind Jet Fuel" and "Polluted Skies: Uncovering the Truth About Urban Air Quality," offered valuable insights that we wouldn't dare brush off as mere page-turners. In a surprising twist, the fictional works "Stratospheric Suspicion" and "Island Mysteries: Secrets of the Caribbean" provided an unexpected parallel to our findings, echoing the far-reaching influence of jet fuel on air quality in distant locales.

Our results have not only soared past the sky-high humor injected into the literature review but have also demonstrated a concrete basis for the unexpected connections alluded to in these non-traditional sources. After all, who would have thought that a statistical investigation into jet fuel and air pollution could have such a gripping plot twist?

The statistical evidence presented in our study not only strengthens the case for the interdependence of environmental factors but also provides a rib-tickling, sky-high journey through the uncharted territories of seemingly disparate phenomena coming together in the statistical stratosphere. It seems that in the wild blue yonder of statistical inquiry, unexpected relationships often take flight and lead us to new destinations of knowledge and discovery.

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

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Air pollution in Athens, Tennessee and Jet fuel used in U.S. Virgin Islands. Make lots of jokes, goofy observations, and puns.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
"The Sky's the Limit: Unraveling the Air-y Connection Between Air Pollution in Athens, Tennessee and Jet Fuel in U.S. Virgin Islands"

[[ABSTRACT]]
In this study, we set out to investigate the puzzling relationship between air pollution levels in Athens, Tennessee, and the utilization of jet fuel in the U.S. Virgin Islands. Employing data from the Environmental Protection Agency and the Energy Information Administration spanning from 1986 to 2021, we were able to uncover a surprising correlation coefficient of 0.5584952, with a significant p-value of less than 0.01. Our findings exhibit a clear link between the two seemingly unrelated factors, shedding light on a potentially impactful connection that has been flying under the radar. This research not only fuels the debate on air quality and energy consumption but also aims to propel awareness about the profound interdependence of environmental factors, all while delivering a stellar blend of statistical analysis and a touch of sky-high humor.

[[INTRDUCTION]]
Ladies and gentlemen, fasten your seatbelts and prepare for a journey of statistical discovery as we unravel the "air-y" connection between air pollution in Athens, Tennessee and the utilization of jet fuel in the U.S. Virgin Islands. While the phrase "what goes up must come down" might usually apply to projectile motion, in this study, we are exploring the implications of what goes up and lingers around in the sky, influencing air quality thousands of miles away.
The link between air pollution and jet fuel might seem as distant as the two locations themselves, but as we dig into the data from the Environmental Protection Agency and the Energy Information Administration, we are presented with a captivating statistical narrative that leaves even the most seasoned researchers pleasantly surprised. After all, who would have thought that the pungent odor at the local gas station in Athens, Tennessee, could have any conceivable relationship with the jet-setting lifestyle of the U.S. Virgin Islands?
We embarked on this research journey with a mix of curiosity and skepticism, but our findings exceeded our wildest expectations. The correlation coefficient of 0.5584952 that we uncovered made us raise an eyebrow while reaching for our calculators – a clear indication that there's something more than just turbulence in the air. With a p-value of less than 0.01, it becomes evident that this connection is not merely a coincidence but a statistically significant association that begs further exploration.
As we ascend into the stratosphere of statistical analysis, we aim to not only elucidate the perplexing link between these disparate elements but also to shine a light on the profound interdependence of environmental factors. Yes, folks, it turns out that the trail of emissions left behind by jet fuel doesn't just evaporate into thin air – it's got its eyes (or should we say aerosols?) on the air quality in unexpected locales.
So, buckle up and prepare for a scientific rollercoaster ride, because what lies ahead isn't just a dry presentation of statistics; it's a blend of empirical evidence and a touch of sky-high humor that aims to leave you both informed and entertained. Let's embark on this research expedition together and see where the winds of statistical inquiry take us!

[[RESULTS]]
In our investigation of the "air-y" connection between air pollution in Athens, Tennessee and the utilization of jet fuel in the U.S. Virgin Islands, we uncovered a surprising correlation coefficient of 0.5584952, accompanied by an r-squared value of 0.3119169 for the time period spanning from 1986 to 2021. If that doesn't take your breath away, the significance level, with a p-value of less than 0.01, certainly will!
The scatterplot (Fig. 1) illustrates the strong correlation between these two seemingly unrelated variables, akin to two long-lost friends finally finding each other in the statistical sky.
The findings of this study hint at a connection that's more than just thin air - it seems that the presence of jet fuel emissions in one location has a tangible impact on air quality in a distant locale. This unexpected relationship not only tickles the funny bone but also propels awareness about the intricate web of environmental factors that extend far beyond our immediate surroundings.
The statistical evidence presented here isn't just a flight of fancy; it's a testament to the far-reaching implications of seemingly disparate elements taking up residence in the statistical stratosphere.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, the results of our study unequivocally underscore the surprising and "air-y" connection between air pollution in Athens, Tennessee, and the utilization of jet fuel in the U.S. Virgin Islands. With a correlation coefficient of 0.5584952 and a p-value of less than 0.01, we are left with no choice but to face the music – or in this case, the jet engines. It seems that the scent of adventure in the U.S. Virgin Islands isn't the only thing traveling through the air; the emissions from jet fuel are making quite the airborne journey to Athens, Tennessee, affecting air quality in ways we never imagined.

The scatterplot (Fig. 1) serves as a visual testament to this unexpected relationship, proving that statistical analysis can indeed be a "sky-high" endeavor. Who would have thought that the statistical stratosphere could hold such intrigue, with intercontinental connections that rival even the most complex airport layovers?

As we wrap up this groundbreaking research, it's crystal clear that there's no need to jet-set off for further investigations. Our findings have soared to new heights, leaving no statistical stone unturned in showcasing this remarkable association. It seems the debate on air quality and energy consumption has received a dose of jet propulsion, and it's safe to say that this statistical voyage has been nothing short of a breath of fresh air – quite literally. Therefore, we assert that no more research is needed in this area.

---

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 The Sky's the Limit: Unraveling the Air-y Connection Between Air Pollution in Athens, Tennessee and Jet Fuel in U.S. Virgin Islands. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Atmospheric Anecdotes

---

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 The Sky's the Limit: Unraveling the Air-y Connection Between Air Pollution in Athens, Tennessee and Jet Fuel in U.S. Virgin Islands. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Atmospheric Connection and Jet Fuel 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 The Sky's the Limit: Unraveling the Air-y Connection Between Air Pollution in Athens, Tennessee and Jet Fuel in U.S. Virgin Islands with an abstract of In this study, we set out to investigate the puzzling relationship between air pollution levels in Athens, Tennessee, and the utilization of jet fuel in the U.S. Virgin Islands. Employing data from the Environmental Protection Agency and the Energy Information Administration spanning from 1986 to 2021, we were able to uncover a surprising correlation coefficient of 0.5584952, with a significant p-value of less than 0.01. Our findings exhibit a clear link between the two seemingly unrelated factors, shedding light on a potentially impactful connection that has been flying under the radar. This research not only fuels the debate on air quality and energy consumption but also aims to propel awareness about the profound interdependence of environmental factors, all while delivering a stellar blend of statistical analysis and a touch of sky-high humor.

ChatGPT:

air pollution, Athens Tennessee, jet fuel, U.S. Virgin Islands, correlation coefficient, environmental protection agency, energy information administration, air quality, energy consumption, statistical analysis

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

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Random correlation

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Data details

Air pollution in Athens, Tennessee
Detailed data title: Percentage of days with air quality at 'unhealthy for sensitive groups' or worse in Athens, TN
Source: Environmental Protection Agency
See what else correlates with Air pollution in Athens, Tennessee

Jet fuel used in U.S. Virgin Islands
Detailed data title: Volume of jet fuel used consumed in U.S. Virgin Islands in millions of barrels per day
Source: Energy Information Administration
See what else correlates with Jet fuel used in U.S. Virgin Islands

Correlation r = 0.5584952 (Pearson correlation coefficient)
Correlation is a measure of how much the variables move together. If it is 0.99, when one goes up the other goes up. If it is 0.02, the connection is very weak or non-existent. If it is -0.99, then when one goes up the other goes down. If it is 1.00, you probably messed up your correlation function.

r² = 0.3119169 (Coefficient of determination)
This means 31.2% of the change in the one variable (i.e., Jet fuel used in U.S. Virgin Islands) is predictable based on the change in the other (i.e., Air pollution in Athens, Tennessee) over the 36 years from 1986 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.0004002.^Show 0.0004002478475606604000000000
The p-value is a measure of how probable it is that we would randomly find a result this extreme.^Note More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.

But I am a p-villain. I absolutely did not test only one pair of variables one time. I correlated hundreds of millions of pairs of variables. I threw boatloads of data into an industrial-sized blender to find this correlation.

Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.56 in 0.04002% of random cases. Said differently, if you correlated 2,498 random variables^Note Which I absolutely did.
with the same 35 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 35 because we have two variables measured over a period of 36 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.

[ 0.28, 0.75 ] 95% correlation confidence interval (using the Fisher z-transformation)
^{Read more about the confidence interval} The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

This one is a bit more complciated than the other calculations, but I include it because many people have been pushing for confidence intervals instead of p-value calculations (for example: NEJM. However, if you are dredging data, you can reliably find yourself in the 5%. That's my goal!


All values for the years included above: ^Note If I were being very sneaky, I could trim years from the beginning or end of the datasets to increase the correlation on some pairs of variables. I don't do that because there are already plenty of correlations in my database without monkeying with the years.

Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.

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Why this works

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

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Try it yourself

You can calculate the values on this page on your own! Try running the Python code to see the calculation results. ^{Show the steps to do this.} Step 1: Download and install Python on your computer.

Step 2: Open a plaintext editor like Notepad and paste the code below into it.

Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"

Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.

Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.

Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.

Step 7: Run the Python script by typing "python calculate_correlation.py"

If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:

"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."

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Reuseable content

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

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

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

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

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

Download images for these variables:

• High resolution line chart ^Note The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.
  
  If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.
  
  Alternatively you can use a tool like Inkscape.
  
• High resolution line chart, optimized for mobile
• Alternative high resolution line chart
• Scatterplot
• Portable line chart (png)
• Portable line chart (png), optimized for mobile
• Line chart for only Air pollution in Athens, Tennessee
• Line chart for only Jet fuel used in U.S. Virgin Islands
• AI-generated correlation image
• The spurious research paper: The Sky's the Limit: Unraveling the Air-y Connection Between Air Pollution in Athens, Tennessee and Jet Fuel in U.S. Virgin Islands

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Correlation ID: 3954 · Black Variable ID: 21721 · Red Variable ID: 25030