Spurious correlation #4,568 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Air quality in Lynchburg, Virginia and the second variable is Petroluem consumption in Turks and Caicos Islands. The chart goes from 1995 to 2021, and the two variables track closely in value over that time.

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Air quality in Lynchburg, Virginia and the second variable is Petroluem consumption in Turks and Caicos Islands. The chart goes from 1995 to 2021, and the two variables track closely in value over that time.

Download png, svg

AI explanation

Lynchburg's pristine air somehow triggered a chain reaction, leading to an insatiable urge for beach vacations in Turks and Caicos. This, in turn, caused a surge in flights and boat rides to the islands, ultimately revving up the demand for petroleum to power these tropical escapades. It's like the atmosphere in Lynchburg whispered to the residents, "You know what would complement this clean air? A coconut-scented, sunscreen-filled, Caribbean adventure!" And off they went, unknowingly creating a most unexpected link between Lynchburg's air quality and the petroleum paradise of Turks and Caicos. It's like a breath of fresh air led to a tidal wave of travel!

^{Show image generation prompt} Model: dalle-3
Prompt: Generate an image of a futuristic scene with two contrasting environments: one representing clean energy and invigoration, and the other showing increased activity fueled by petroleum consumption. Show Lynchburg, Virginia, with clean, fresh air and energetic people against a backdrop of advanced, sustainable technology. In contrast, depict the Turks and Caicos Islands with bustling activity of jet skiing, boating, and increased petroleum consumption, set against a sun-soaked beach with visitors enjoying the sea. The contrast should be visually striking, emphasizing the different energies and environmental impacts of each location. 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 Lynchburg, Virginia and Petroluem consumption in Turks and Caicos 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: Oragami Futuristic Magic realism Cutsy art illustration Cubism
ChatGPT: Futuristic

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 Lynchburg, Virginia and Petroluem consumption in Turks and Caicos Islands, in the following situation: The improved air quality in Lynchburg, Virginia led to people feeling more energized and ready to travel. As a result, there was an increase in tourists flying to Turks and Caicos Islands. With more people on the islands, there was a surge in demand for activities like jet skiing and boating, leading to a higher consumption of petroleum. The air in Lynchburg was just so "fuel" of freshness that it sparked a chain reaction all the way to the islands, leaving everyone "gasping" for more fun in the sun. It's like Lynchburg's air quality said, "I'm gonna "gas" you up for a tropical adventure!" And the islands couldn't help but "fuel" the tourism fire. This unexpected connection proves that when it comes to global influences, even the air we breathe can have a "gassy" impact on faraway places.. Keep the description simple.
ChatGPT: In Lynchburg, Virginia, the air is remarkably clean and fresh, with people feeling invigorated and energetic. On the other hand, in Turks and Caicos Islands, the demand for activities like jet skiing and boating has increased, leading to higher consumption of petroleum. The clear skies and increased energy in Lynchburg seem to have fueled a surge in tourism, and as a result, the islands are buzzing with excitement, with more visitors enjoying the sun and sea.

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: [ Futuristic ] and depicting this scene: In Lynchburg, Virginia, the air is remarkably clean and fresh, with people feeling invigorated and energetic. On the other hand, in Turks and Caicos Islands, the demand for activities like jet skiing and boating has increased, leading to higher consumption of petroleum. The clear skies and increased energy in Lynchburg seem to have fueled a surge in tourism, and as a result, the islands are buzzing with excitement, with more visitors enjoying the sun and sea. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a futuristic scene with two contrasting environments: one representing clean energy and invigoration, and the other showing increased activity fueled by petroleum consumption. Show Lynchburg, Virginia, with clean, fresh air and energetic people against a backdrop of advanced, sustainable technology. In contrast, depict the Turks and Caicos Islands with bustling activity of jet skiing, boating, and increased petroleum consumption, set against a sun-soaked beach with visitors enjoying the sea. The contrast should be visually striking, emphasizing the different energies and environmental impacts of each location.

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

I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.
^{Show prompt for explanation} Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in Air quality in Lynchburg, Virginia caused Petroluem consumption in Turks and Caicos Islands to increase.

AI academic paper

(Because p < 0.01)

Inhaling the Island Influence: A Correlation Analysis of Air Quality in Lynchburg, Virginia and Petroleum Consumption in Turks and Caicos Islands

The Journal of Environmental Synthesis

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

Please make up a literature review section of an academic research paper presenting the findings of the connection between Air quality in Lynchburg, Virginia and Petroluem consumption in Turks and Caicos Islands. 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 name a couple popular internet memes that are related to one of the topics.

Here is the title and abstract of the paper:
[[TITLE]]
"Inhaling the Island Influence: A Correlation Analysis of Air Quality in Lynchburg, Virginia and Petroleum Consumption in Turks and Caicos Islands"

[[ABSTRACT]]
The aim of this study was to investigate the relationship between air quality in Lynchburg, Virginia, and petroleum consumption in the Turks and Caicos Islands. Through the utilization of data from the Environmental Protection Agency and the Energy Information Administration, a comprehensive analysis was conducted to shed light on this hitherto unexplored correlation.

Our findings revealed a remarkably strong and statistically significant correlation coefficient of 0.9436564 (p < 0.01) for the period spanning from 1995 to 2021. This suggests a clear association between the air quality in Lynchburg, Virginia, and the petroleum consumption in the Turks and Caicos Islands. Moreover, this correlation persisted over time, indicating a robust connection between the two seemingly disparate regions.

We speculate that the winds, much like gossip, carried the influence of the Turks and Caicos Islands to Lynchburg, forming a peculiar atmospheric partnership. The findings of this study lend credence to the notion that air quality is not confined by geographical boundaries but can be influenced by factors from beyond. Additionally, this investigation underscores the importance of considering global interconnectedness when examining local environmental phenomena.

In conclusion, the results of this research bring to light the unforeseen interplay between seemingly unrelated locations and emphasize the need for further exploration of the mechanisms underlying such connections. As we inhale the island influence, let us also inhale the wisdom that comes from seeking unconventional correlations - after all, it's a breath of fresh air for scientific inquiry!

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The pursuit of knowledge often leads researchers down unexpected paths, much like a lost tourist following the scent of a freshly baked pie. In the case of our study, we found ourselves delving into the intricate relationship between air quality in Lynchburg, Virginia, and petroleum consumption in the Turks and Caicos Islands. It is a tale of two seemingly unrelated locales, whose connection unfolds like a plot twist in a mystery novel.
As we embark on this academic journey, we are reminded of the wise words of a concerned parent: "Don't hold your breath!" Fortunately, the air quality in Lynchburg and the petroleum consumption in Turks and Caicos Islands have much to reveal to us as we dive into the depths of their correlation.
The interplay between environmental factors in disparate regions is akin to a complex dance, where each step influences the other, much like a synchronized swimming team performing an elaborate routine. Our investigation seeks to elucidate this intricate choreography and unveil the underlying patterns that tie these two geographical entities together.
The unexpected connection we uncovered serves as a reminder that in the realm of scientific inquiry, nothing is off the table - not even a seemingly far-fetched association between air quality and petroleum consumption across a vast expanse of ocean. It's as if Mother Nature herself is challenging us by saying, "You think you know air quality? Hold my oxygen!"
As we unravel the mysteries of this correlation, we invite the reader to join us in this intellectual adventure, intertwined with the humor that arises from uncovering unexpected connections in the world around us. After all, exploring unconventional correlations is not just a breath of fresh air; it's a lungful of enriching knowledge.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]
The authors find in "Air Quality and Petroleum Consumption: A Correlative Analysis" by Smith et al. that the air quality in Lynchburg, Virginia exhibits periodic fluctuations, influenced by a myriad of local and regional factors. Similarly, in "Petroleum Consumption Patterns in Island Nations" by Doe and Jones, the petroleum consumption in the Turks and Caicos Islands is shown to be subject to seasonal variations, driven by economic and environmental forces.

Alongside these serious studies, the research conducted by "Environmental Exposures and Health" by Book explores the impact of air quality on human health, highlighting the importance of understanding the sources and implications of air pollutants. Additionally, "Energy Consumption and Economic Growth" by Another Book examines the intricate relationship between petroleum consumption and economic development, shedding light on the multifaceted dynamics at play.

Turning to more fictive narratives, the classic novel "The Island" by Fictional Author delves into the enigmatic allure of island life, offering insights into the interconnectedness of place and psyche. Similarly, "Airborne" by Storyteller Extraordinaire takes readers on a gripping adventure through turbulent skies, reminding us that the air we breathe is laden with diverse influences.

In the world of internet memes, the popular "Distracted Boyfriend" meme serves as a comical representation of unexpected interests and attractions - much like the unlikely correlation between air quality and petroleum consumption. Additionally, the "This is Fine" meme captures the essence of navigating through unlikely situations, akin to our endeavor to make sense of the surprising relationship between two distant locales.

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

Please make up the methodology section of an academic research paper presenting the findings of the connection between Air quality in Lynchburg, Virginia and Petroluem consumption in Turks and Caicos Islands. 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 Energy Information Administration . You used data from 1995 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]]
"Inhaling the Island Influence: A Correlation Analysis of Air Quality in Lynchburg, Virginia and Petroleum Consumption in Turks and Caicos Islands"

[[ABSTRACT]]
The aim of this study was to investigate the relationship between air quality in Lynchburg, Virginia, and petroleum consumption in the Turks and Caicos Islands. Through the utilization of data from the Environmental Protection Agency and the Energy Information Administration, a comprehensive analysis was conducted to shed light on this hitherto unexplored correlation.

Our findings revealed a remarkably strong and statistically significant correlation coefficient of 0.9436564 (p < 0.01) for the period spanning from 1995 to 2021. This suggests a clear association between the air quality in Lynchburg, Virginia, and the petroleum consumption in the Turks and Caicos Islands. Moreover, this correlation persisted over time, indicating a robust connection between the two seemingly disparate regions.

We speculate that the winds, much like gossip, carried the influence of the Turks and Caicos Islands to Lynchburg, forming a peculiar atmospheric partnership. The findings of this study lend credence to the notion that air quality is not confined by geographical boundaries but can be influenced by factors from beyond. Additionally, this investigation underscores the importance of considering global interconnectedness when examining local environmental phenomena.

In conclusion, the results of this research bring to light the unforeseen interplay between seemingly unrelated locations and emphasize the need for further exploration of the mechanisms underlying such connections. As we inhale the island influence, let us also inhale the wisdom that comes from seeking unconventional correlations - after all, it's a breath of fresh air for scientific inquiry!

[[INTRODUCTION]]
The pursuit of knowledge often leads researchers down unexpected paths, much like a lost tourist following the scent of a freshly baked pie. In the case of our study, we found ourselves delving into the intricate relationship between air quality in Lynchburg, Virginia, and petroleum consumption in the Turks and Caicos Islands. It is a tale of two seemingly unrelated locales, whose connection unfolds like a plot twist in a mystery novel.
As we embark on this academic journey, we are reminded of the wise words of a concerned parent: "Don't hold your breath!" Fortunately, the air quality in Lynchburg and the petroleum consumption in Turks and Caicos Islands have much to reveal to us as we dive into the depths of their correlation.
The interplay between environmental factors in disparate regions is akin to a complex dance, where each step influences the other, much like a synchronized swimming team performing an elaborate routine. Our investigation seeks to elucidate this intricate choreography and unveil the underlying patterns that tie these two geographical entities together.
The unexpected connection we uncovered serves as a reminder that in the realm of scientific inquiry, nothing is off the table - not even a seemingly far-fetched association between air quality and petroleum consumption across a vast expanse of ocean. It's as if Mother Nature herself is challenging us by saying, "You think you know air quality? Hold my oxygen!"
As we unravel the mysteries of this correlation, we invite the reader to join us in this intellectual adventure, intertwined with the humor that arises from uncovering unexpected connections in the world around us. After all, exploring unconventional correlations is not just a breath of fresh air; it's a lungful of enriching knowledge.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

This study employed a multi-faceted approach to examine the relationship between air quality in Lynchburg, Virginia, and petroleum consumption in the Turks and Caicos Islands. Data spanning the years 1995 to 2021 were gathered from various sources such as the Environmental Protection Agency and the Energy Information Administration, akin to scavengers collecting morsels of information to form a statistical feast. The chosen time frame allowed for a comprehensive analysis of long-term trends, much like observing the growth of a particularly slow-growing bonsai tree – patience was key.

To establish the air quality in Lynchburg, Virginia, the concentration of pollutants such as particulate matter, nitrogen dioxide, and carbon monoxide was measured. Concurrently, the petroleum consumption in the Turks and Caicos Islands was assessed through the examination of oil usage, fuel imports, and energy consumption. The data collection process was as meticulous as a detective combing through clues at a crime scene, with a similar focus on uncovering hidden connections.

Furthermore, statistical techniques such as correlation analysis and regression modeling were employed to scrutinize the association between the air quality in Lynchburg and petroleum consumption in the Turks and Caicos Islands. The correlation coefficient was calculated with a precision reminiscent of a watchmaker crafting an intricate timepiece, leaving no room for error.

In addition, advanced geographical modeling software was utilized to map the potential trajectories of air currents from the Turks and Caicos Islands to Lynchburg. This process involved simulating wind patterns and atmospheric dispersion, creating visual representations that resembled an artist's brushstrokes across a canvas – albeit a rather windy canvas. These models allowed us to explore the possibility of air transport carrying pollutants or influences from the island nation to the city of Lynchburg, much like a diligent postal worker delivering parcels of atmospheric intricacies.

To ensure the robustness of our findings, sensitivity analyses were conducted to test the stability of the correlation under various scenarios and assumptions. This rigorous approach aimed to address any potential confounding variables that might attempt to sneak into our statistical party uninvited, much like a gate-crasher at a meticulously planned soirée.

Moreover, a comprehensive review of existing literature on air quality, petroleum consumption, and atmospheric dynamics was conducted to provide a contextual framework for our analysis. This literature review was as thorough as a librarian categorizing an unruly stack of books, ensuring that no relevant insight was overlooked.

As we meticulously navigated the methods of this study, we were reminded of a pertinent dad joke: "Why don't skeletons fight each other? They don't have the guts." Similarly, our research methods were aimed at uncovering the underlying connections that may not have had the guts to reveal themselves through superficial examination.

Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the 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 Lynchburg, Virginia and Petroluem consumption in Turks and Caicos Islands. 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 Energy Information Administration .

For the time period 1995 to 2021, you found a correlation 0.9436564, r-squared of 0.8904874, 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]]
"Inhaling the Island Influence: A Correlation Analysis of Air Quality in Lynchburg, Virginia and Petroleum Consumption in Turks and Caicos Islands"

[[ABSTRACT]]
The aim of this study was to investigate the relationship between air quality in Lynchburg, Virginia, and petroleum consumption in the Turks and Caicos Islands. Through the utilization of data from the Environmental Protection Agency and the Energy Information Administration, a comprehensive analysis was conducted to shed light on this hitherto unexplored correlation.

Our findings revealed a remarkably strong and statistically significant correlation coefficient of 0.9436564 (p < 0.01) for the period spanning from 1995 to 2021. This suggests a clear association between the air quality in Lynchburg, Virginia, and the petroleum consumption in the Turks and Caicos Islands. Moreover, this correlation persisted over time, indicating a robust connection between the two seemingly disparate regions.

We speculate that the winds, much like gossip, carried the influence of the Turks and Caicos Islands to Lynchburg, forming a peculiar atmospheric partnership. The findings of this study lend credence to the notion that air quality is not confined by geographical boundaries but can be influenced by factors from beyond. Additionally, this investigation underscores the importance of considering global interconnectedness when examining local environmental phenomena.

In conclusion, the results of this research bring to light the unforeseen interplay between seemingly unrelated locations and emphasize the need for further exploration of the mechanisms underlying such connections. As we inhale the island influence, let us also inhale the wisdom that comes from seeking unconventional correlations - after all, it's a breath of fresh air for scientific inquiry!

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The pursuit of knowledge often leads researchers down unexpected paths, much like a lost tourist following the scent of a freshly baked pie. In the case of our study, we found ourselves delving into the intricate relationship between air quality in Lynchburg, Virginia, and petroleum consumption in the Turks and Caicos Islands. It is a tale of two seemingly unrelated locales, whose connection unfolds like a plot twist in a mystery novel.
As we embark on this academic journey, we are reminded of the wise words of a concerned parent: "Don't hold your breath!" Fortunately, the air quality in Lynchburg and the petroleum consumption in Turks and Caicos Islands have much to reveal to us as we dive into the depths of their correlation.
The interplay between environmental factors in disparate regions is akin to a complex dance, where each step influences the other, much like a synchronized swimming team performing an elaborate routine. Our investigation seeks to elucidate this intricate choreography and unveil the underlying patterns that tie these two geographical entities together.
The unexpected connection we uncovered serves as a reminder that in the realm of scientific inquiry, nothing is off the table - not even a seemingly far-fetched association between air quality and petroleum consumption across a vast expanse of ocean. It's as if Mother Nature herself is challenging us by saying, "You think you know air quality? Hold my oxygen!"
As we unravel the mysteries of this correlation, we invite the reader to join us in this intellectual adventure, intertwined with the humor that arises from uncovering unexpected connections in the world around us. After all, exploring unconventional correlations is not just a breath of fresh air; it's a lungful of enriching knowledge.

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

The correlation analysis between air quality in Lynchburg, Virginia, and petroleum consumption in the Turks and Caicos Islands yielded a coefficient of 0.9436564, indicating a strong positive relationship between the two variables. This connection is as apparent as the bond between a dog and its favorite chew toy, and despite the geographical separation, the influence of one appears to waft through the air to the other.

The r-squared value of 0.8904874 further supports this substantial association, suggesting that a considerable proportion of the variation in air quality in Lynchburg can be explained by the petroleum consumption in the Turks and Caicos Islands - much like how a devoted gardener can account for the flourishing of their prized roses.

The statistical significance of the correlation (p < 0.01) underscores the robustness of this relationship, indicating that it is highly unlikely to have occurred by chance alone. One might say this level of significance is as rare as finding a four-leaf clover in a field of statistical analysis.

Furthermore, the data visualized in Figure 1, which illustrates the scatterplot of air quality and petroleum consumption over the period of 1995 to 2021, vividly portrays the strength of this connection. It is a visual representation so clear, it's as if the data itself is saying, "Look, we're correlated, we promise!"

In essence, these findings point to a remarkable, albeit unexpected, link between the air quality in Lynchburg and the petroleum consumption in the Turks and Caicos Islands. It appears that the winds of change carry more than just whispers and rumors; they also transport the influence of environmental factors across great distances.

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

Please make up the discussion section of an academic research paper presenting the findings of the connection between Air quality in Lynchburg, Virginia and Petroluem consumption in Turks and Caicos Islands. 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]]
"Inhaling the Island Influence: A Correlation Analysis of Air Quality in Lynchburg, Virginia and Petroleum Consumption in Turks and Caicos Islands"

[[ABSTRACT]]
The aim of this study was to investigate the relationship between air quality in Lynchburg, Virginia, and petroleum consumption in the Turks and Caicos Islands. Through the utilization of data from the Environmental Protection Agency and the Energy Information Administration, a comprehensive analysis was conducted to shed light on this hitherto unexplored correlation.

Our findings revealed a remarkably strong and statistically significant correlation coefficient of 0.9436564 (p < 0.01) for the period spanning from 1995 to 2021. This suggests a clear association between the air quality in Lynchburg, Virginia, and the petroleum consumption in the Turks and Caicos Islands. Moreover, this correlation persisted over time, indicating a robust connection between the two seemingly disparate regions.

We speculate that the winds, much like gossip, carried the influence of the Turks and Caicos Islands to Lynchburg, forming a peculiar atmospheric partnership. The findings of this study lend credence to the notion that air quality is not confined by geographical boundaries but can be influenced by factors from beyond. Additionally, this investigation underscores the importance of considering global interconnectedness when examining local environmental phenomena.

In conclusion, the results of this research bring to light the unforeseen interplay between seemingly unrelated locations and emphasize the need for further exploration of the mechanisms underlying such connections. As we inhale the island influence, let us also inhale the wisdom that comes from seeking unconventional correlations - after all, it's a breath of fresh air for scientific inquiry!

[[LITERATURE REVIEW]]
The authors find in "Air Quality and Petroleum Consumption: A Correlative Analysis" by Smith et al. that the air quality in Lynchburg, Virginia exhibits periodic fluctuations, influenced by a myriad of local and regional factors. Similarly, in "Petroleum Consumption Patterns in Island Nations" by Doe and Jones, the petroleum consumption in the Turks and Caicos Islands is shown to be subject to seasonal variations, driven by economic and environmental forces.
Alongside these serious studies, the research conducted by "Environmental Exposures and Health" by Book explores the impact of air quality on human health, highlighting the importance of understanding the sources and implications of air pollutants. Additionally, "Energy Consumption and Economic Growth" by Another Book examines the intricate relationship between petroleum consumption and economic development, shedding light on the multifaceted dynamics at play.
Turning to more fictive narratives, the classic novel "The Island" by Fictional Author delves into the enigmatic allure of island life, offering insights into the interconnectedness of place and psyche. Similarly, "Airborne" by Storyteller Extraordinaire takes readers on a gripping adventure through turbulent skies, reminding us that the air we breathe is laden with diverse influences.
In the world of internet memes, the popular "Distracted Boyfriend" meme serves as a comical representation of unexpected interests and attractions - much like the unlikely correlation between air quality and petroleum consumption. Additionally, the "This is Fine" meme captures the essence of navigating through unlikely situations, akin to our endeavor to make sense of the surprising relationship between two distant locales.

[[RESULTS]]
The correlation analysis between air quality in Lynchburg, Virginia, and petroleum consumption in the Turks and Caicos Islands yielded a coefficient of 0.9436564, indicating a strong positive relationship between the two variables. This connection is as apparent as the bond between a dog and its favorite chew toy, and despite the geographical separation, the influence of one appears to waft through the air to the other.
The r-squared value of 0.8904874 further supports this substantial association, suggesting that a considerable proportion of the variation in air quality in Lynchburg can be explained by the petroleum consumption in the Turks and Caicos Islands - much like how a devoted gardener can account for the flourishing of their prized roses.
The statistical significance of the correlation (p < 0.01) underscores the robustness of this relationship, indicating that it is highly unlikely to have occurred by chance alone. One might say this level of significance is as rare as finding a four-leaf clover in a field of statistical analysis.
Furthermore, the data visualized in Figure 1, which illustrates the scatterplot of air quality and petroleum consumption over the period of 1995 to 2021, vividly portrays the strength of this connection. It is a visual representation so clear, it's as if the data itself is saying, "Look, we're correlated, we promise!"
In essence, these findings point to a remarkable, albeit unexpected, link between the air quality in Lynchburg and the petroleum consumption in the Turks and Caicos Islands. It appears that the winds of change carry more than just whispers and rumors; they also transport the influence of environmental factors across great distances.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The results of the correlation analysis have provided compelling evidence of a strong and significant connection between air quality in Lynchburg, Virginia, and petroleum consumption in the Turks and Caicos Islands. As speculated, it seems that the winds, much like dad jokes, have a remarkable ability to carry influence over great distances, forging an unexpected atmospheric partnership between these geographically disparate regions.

The findings of this study align with prior research that has explored the complex relationship between air quality and environmental factors, as well as the patterns of petroleum consumption in island nations. In particular, the periodic fluctuations in air quality in Lynchburg and the seasonal variations in petroleum consumption in the Turks and Caicos Islands, as observed by Smith et al. and Doe and Jones, respectively, appear to contribute to the overarching correlation identified in this investigation.

It is worth noting that the unexpected correlation evidenced in our study not only challenges conventional wisdom but also sheds light on the interconnectedness of seemingly unrelated locations. The comical representation of unexpected interests and attractions in the "Distracted Boyfriend" meme, which was humorously referenced in the literature review, oddly mirrors the surprising relationship unveiled between air quality and petroleum consumption. As we navigate through the realm of unanticipated connections, it is essential to approach scientific inquiry with an open mind and a willingness to entertain unconventional possibilities.

The statistical significance of the correlation coefficient and the strong explanatory power denoted by the r-squared value affirm the robustness of the observed relationship, akin to the satisfaction of stumbling upon a perfectly-timed pun in an academic paper. Moreover, the inescapable visual representation of the scatterplot, reminiscent of a clear punchline, vividly illustrates the strength of the connection, leaving little room for doubt or skepticism.

Indeed, the significance of this study extends beyond the realm of scientific inquiry and serves as a reminder of the unsuspecting nature of interconnections in our global ecosystem. Just as an unexpected pun can bring levity to a serious conversation, this research highlights the need to consider and appreciate the unanticipated links that transcend geographical boundaries. Inhaling the island influence has not only broadened our understanding of environmental interplay but has also offered a breath of fresh air for future explorations into unusual correlations, much like a well-timed dad joke in a somber scientific discourse.

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

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Air quality in Lynchburg, Virginia and Petroluem consumption in Turks and Caicos Islands. 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]]
"Inhaling the Island Influence: A Correlation Analysis of Air Quality in Lynchburg, Virginia and Petroleum Consumption in Turks and Caicos Islands"

[[ABSTRACT]]
The aim of this study was to investigate the relationship between air quality in Lynchburg, Virginia, and petroleum consumption in the Turks and Caicos Islands. Through the utilization of data from the Environmental Protection Agency and the Energy Information Administration, a comprehensive analysis was conducted to shed light on this hitherto unexplored correlation.

Our findings revealed a remarkably strong and statistically significant correlation coefficient of 0.9436564 (p < 0.01) for the period spanning from 1995 to 2021. This suggests a clear association between the air quality in Lynchburg, Virginia, and the petroleum consumption in the Turks and Caicos Islands. Moreover, this correlation persisted over time, indicating a robust connection between the two seemingly disparate regions.

We speculate that the winds, much like gossip, carried the influence of the Turks and Caicos Islands to Lynchburg, forming a peculiar atmospheric partnership. The findings of this study lend credence to the notion that air quality is not confined by geographical boundaries but can be influenced by factors from beyond. Additionally, this investigation underscores the importance of considering global interconnectedness when examining local environmental phenomena.

In conclusion, the results of this research bring to light the unforeseen interplay between seemingly unrelated locations and emphasize the need for further exploration of the mechanisms underlying such connections. As we inhale the island influence, let us also inhale the wisdom that comes from seeking unconventional correlations - after all, it's a breath of fresh air for scientific inquiry!

[[INTRDUCTION]]
The pursuit of knowledge often leads researchers down unexpected paths, much like a lost tourist following the scent of a freshly baked pie. In the case of our study, we found ourselves delving into the intricate relationship between air quality in Lynchburg, Virginia, and petroleum consumption in the Turks and Caicos Islands. It is a tale of two seemingly unrelated locales, whose connection unfolds like a plot twist in a mystery novel.
As we embark on this academic journey, we are reminded of the wise words of a concerned parent: "Don't hold your breath!" Fortunately, the air quality in Lynchburg and the petroleum consumption in Turks and Caicos Islands have much to reveal to us as we dive into the depths of their correlation.
The interplay between environmental factors in disparate regions is akin to a complex dance, where each step influences the other, much like a synchronized swimming team performing an elaborate routine. Our investigation seeks to elucidate this intricate choreography and unveil the underlying patterns that tie these two geographical entities together.
The unexpected connection we uncovered serves as a reminder that in the realm of scientific inquiry, nothing is off the table - not even a seemingly far-fetched association between air quality and petroleum consumption across a vast expanse of ocean. It's as if Mother Nature herself is challenging us by saying, "You think you know air quality? Hold my oxygen!"
As we unravel the mysteries of this correlation, we invite the reader to join us in this intellectual adventure, intertwined with the humor that arises from uncovering unexpected connections in the world around us. After all, exploring unconventional correlations is not just a breath of fresh air; it's a lungful of enriching knowledge.

[[RESULTS]]
The correlation analysis between air quality in Lynchburg, Virginia, and petroleum consumption in the Turks and Caicos Islands yielded a coefficient of 0.9436564, indicating a strong positive relationship between the two variables. This connection is as apparent as the bond between a dog and its favorite chew toy, and despite the geographical separation, the influence of one appears to waft through the air to the other.
The r-squared value of 0.8904874 further supports this substantial association, suggesting that a considerable proportion of the variation in air quality in Lynchburg can be explained by the petroleum consumption in the Turks and Caicos Islands - much like how a devoted gardener can account for the flourishing of their prized roses.
The statistical significance of the correlation (p < 0.01) underscores the robustness of this relationship, indicating that it is highly unlikely to have occurred by chance alone. One might say this level of significance is as rare as finding a four-leaf clover in a field of statistical analysis.
Furthermore, the data visualized in Figure 1, which illustrates the scatterplot of air quality and petroleum consumption over the period of 1995 to 2021, vividly portrays the strength of this connection. It is a visual representation so clear, it's as if the data itself is saying, "Look, we're correlated, we promise!"
In essence, these findings point to a remarkable, albeit unexpected, link between the air quality in Lynchburg and the petroleum consumption in the Turks and Caicos Islands. It appears that the winds of change carry more than just whispers and rumors; they also transport the influence of environmental factors across great distances.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

The results of this study highlight a striking and improbable relationship between air quality in Lynchburg, Virginia, and petroleum consumption in the Turks and Caicos Islands. Much like a long-distance relationship that defies the odds, this connection persisted over time, defying conventional geographical boundaries and challenging our understanding of environmental influence.

The strong correlation coefficient of 0.9436564 speaks volumes about the intertwined nature of air quality and petroleum consumption across these disparate locations - it's almost as if they're in a long-distance relationship, communicating through atmospheric signals! Just like a good dad joke, this correlation is undeniable and elicits both a groan and a chuckle.

The r-squared value of 0.8904874 further emphasizes the substantial influence of petroleum consumption in the Turks and Caicos Islands on the air quality in Lynchburg, resembling the way a plant flourishes under the careful attention of a nurturing gardener.

The statistical significance of the correlation (p < 0.01) is as rare as finding statistical significance in a haystack, further cementing the robustness of this relationship. This level of significance is so rare, it's as if it were on the endangered statistical significance list!

The findings from this study not only shed light on the interconnectedness of seemingly unrelated locations, but they also remind us of the unexpected surprises that scientific inquiry can unveil. It's like finding a treasure chest of unconventional correlations in the uncharted waters of research - you never know what valuable connections you might discover!

In conclusion, the results of this research present a compelling case for the unanticipated association between air quality in Lynchburg, Virginia, and petroleum consumption in the Turks and Caicos Islands. As we close the book on this peculiar correlation, it’s safe to say that no further research in this area is needed. After all, we've already taken a deep breath of fresh, unexpected air!

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 Inhaling the Island Influence: A Correlation Analysis of Air Quality in Lynchburg, Virginia and Petroleum Consumption in Turks and Caicos Islands. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Environmental Synthesis

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 Inhaling the Island Influence: A Correlation Analysis of Air Quality in Lynchburg, Virginia and Petroleum Consumption in Turks and Caicos Islands. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Transnational Environmental Research Solutions

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 Inhaling the Island Influence: A Correlation Analysis of Air Quality in Lynchburg, Virginia and Petroleum Consumption in Turks and Caicos Islands with an abstract of The aim of this study was to investigate the relationship between air quality in Lynchburg, Virginia, and petroleum consumption in the Turks and Caicos Islands. Through the utilization of data from the Environmental Protection Agency and the Energy Information Administration, a comprehensive analysis was conducted to shed light on this hitherto unexplored correlation.
Our findings revealed a remarkably strong and statistically significant correlation coefficient of 0.9436564 (p < 0.01) for the period spanning from 1995 to 2021. This suggests a clear association between the air quality in Lynchburg, Virginia, and the petroleum consumption in the Turks and Caicos Islands. Moreover, this correlation persisted over time, indicating a robust connection between the two seemingly disparate regions.
We speculate that the winds, much like gossip, carried the influence of the Turks and Caicos Islands to Lynchburg, forming a peculiar atmospheric partnership. The findings of this study lend credence to the notion that air quality is not confined by geographical boundaries but can be influenced by factors from beyond. Additionally, this investigation underscores the importance of considering global interconnectedness when examining local environmental phenomena.
In conclusion, the results of this research bring to light the unforeseen interplay between seemingly unrelated locations and emphasize the need for further exploration of the mechanisms underlying such connections. As we inhale the island influence, let us also inhale the wisdom that comes from seeking unconventional correlations - after all, it's a breath of fresh air for scientific inquiry!

ChatGPT:

air quality, Lynchburg Virginia, petroleum consumption, Turks and Caicos Islands, correlation analysis, environmental protection agency, energy information administration, atmospheric partnership, global interconnectedness, geographical boundaries, local environmental phenomena

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

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Data details

Air quality in Lynchburg, Virginia
Detailed data title: Percentage of days with good air quality in Lynchburg, VA
Source: Environmental Protection Agency
See what else correlates with Air quality in Lynchburg, Virginia

Petroluem consumption in Turks and Caicos Islands
Detailed data title: Volume of petroluem consumption consumed in Turks and Caicos Islands in millions of barrels per day
Source: Energy Information Administration
See what else correlates with Petroluem consumption in Turks and Caicos Islands

Correlation r = 0.9436564 (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 = 0.8904874 (Coefficient of determination)
This means 89% of the change in the one variable (i.e., Petroluem consumption in Turks and Caicos Islands) is predictable based on the change in the other (i.e., Air quality in Lynchburg, Virginia) over the 27 years from 1995 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.6E-13.^Show 0.0000000000001641180227269249
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 0.94 in 1.6E-11% of random cases. Said differently, if you correlated 6,093,176,016,774 random variables^Note You don't actually need 6 trillion 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 26 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 26 because we have two variables measured over a period of 27 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.

[ 0.88, 0.97 ] 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.

	1995	1996	1997	1998	1999	2000	2001	2002	2003	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021
Air quality in Lynchburg, Virginia (Good air quality)	0	0	0	0	0	0	0.521739	0.485981	0	0.550847	0.53719	0.556522	0.5	0.720339	0.836066	0.709402	0.794643	0.886957	0.889831	0.878261	0.905172	0.958333	0.964912	0.946429	0.990741	0.990909	0.92437
Petroluem consumption in Turks and Caicos Islands (Million Barrels/Day)	0.0889398	0.0889398	0.0889395	0.0978343	0.0978343	0.462683	0.492564	0.655908	0.674466	0.693005	0.817534	0.940164	1.10367	1.17199	1.18542	1.2263	1.2263	1.22295	1.23652	1.32849	1.36937	1.41658	1.53288	1.53288	1.57988	1.33045	1.41603

Why this works

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

Try it yourself

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

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

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

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

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

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

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

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

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

# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats

# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):

    # Calculate Pearson correlation coefficient and p-value
    correlation, p_value = stats.pearsonr(array1, array2)

    # Calculate R-squared as the square of the correlation coefficient
    r_squared = correlation**2

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([0,0,0,0,0,0,0.521739,0.485981,0,0.550847,0.53719,0.556522,0.5,0.720339,0.836066,0.709402,0.794643,0.886957,0.889831,0.878261,0.905172,0.958333,0.964912,0.946429,0.990741,0.990909,0.92437,])
array_2 = np.array([0.0889398,0.0889398,0.0889395,0.0978343,0.0978343,0.462683,0.492564,0.655908,0.674466,0.693005,0.817534,0.940164,1.10367,1.17199,1.18542,1.2263,1.2263,1.22295,1.23652,1.32849,1.36937,1.41658,1.53288,1.53288,1.57988,1.33045,1.41603,])
array_1_name = "Air quality in Lynchburg, Virginia"
array_2_name = "Petroluem consumption in Turks and Caicos Islands"

# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)

# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)

Reuseable content

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

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

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

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

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

Download images for these variables:

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

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

Alternatively you can use a tool like Inkscape.
High resolution line chart, optimized for mobile
Alternative high resolution line chart
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Portable line chart (png)
Portable line chart (png), optimized for mobile
Line chart for only Air quality in Lynchburg, Virginia
Line chart for only Petroluem consumption in Turks and Caicos Islands
AI-generated correlation image
The spurious research paper: Inhaling the Island Influence: A Correlation Analysis of Air Quality in Lynchburg, Virginia and Petroleum Consumption in Turks and Caicos Islands

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Correlation ID: 4568 · Black Variable ID: 22217 · Red Variable ID: 25023


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