about · email me · subscribe
Spurious correlation #1,190 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Google searches for 'why is the sky blue' and the second variable is Automotive recalls for issues with Visibility.  The chart goes from 2004 to 2022, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

As people frantically searched for the answer, it created a surge of brain power that inadvertently interfered with the visibility systems in cars, leading to a higher likelihood of automotive recalls for visibility issues. It seems the quest for knowledge had some unintended and misty consequences on the roads!

Model: dalle-3
Prompt: Generate an image of a bustling city street, with people walking down the sidewalks, their attention focused on the road ahead. In the background, depict a car manufacturing plant with a smaller pile of car parts labeled "recalled" to symbolize a decrease in automotive recalls due to visibility issues. Show fewer cars being affected as drivers pay more attention to the road. Additionally, illustrate a group of people looking at their smartphones or engaging in conversations, symbolizing the fading curiosity about the sky's color. Capture the contrast between the busy street and the dwindling interest in looking up to the sky. The overall visual should convey the shift in attention and the resulting decrease in automotive recalls. 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 situation described. You respond only with the scene descriptions provided and say nothing else.
User prompt: Here is a situation: A decrease in Google searches for "why is the sky blue" has caused automotive recalls for visibility issues to also decrease because as people become less curious about the sky's color, they spend less time gazing upwards and more time focusing on the road. This shift in attention away from the heavens means fewer distracted drivers, leading to a decrease in accidents caused by celestial contemplation. As a result, car manufacturers are seeing reduced visibility-related recalls, attributing the improvement in safety to the fading fascination with the azure mystery above. So, next time you find yourself pondering the sky's hue, just remember, thinking about it less could be the key to seeing clearer on the road!. Given that situation, which of the following image descriptions seems most appropriate? Pick the one that seems to be related to one of the variables at hand and the tone of the explanation. Please respond with only one of the following potential descriptions: Cyber folk High-tech Hyper-realistic a Polaroid photo An image that looks like it is a scene from A Disney Movie
ChatGPT: Cyber folk

Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated and the explanation described. Do not reference graphs or charts; describe physical objects.
User prompt: Please describe a visual scene that depicts the following situation. Keep the description simple. A decrease in Google searches for "why is the sky blue" has caused automotive recalls for visibility issues to also decrease because as people become less curious about the sky's color, they spend less time gazing upwards and more time focusing on the road. This shift in attention away from the heavens means fewer distracted drivers, leading to a decrease in accidents caused by celestial contemplation. As a result, car manufacturers are seeing reduced visibility-related recalls, attributing the improvement in safety to the fading fascination with the azure mystery above. So, next time you find yourself pondering the sky's hue, just remember, thinking about it less could be the key to seeing clearer on the road!
ChatGPT: Imagine a scene where people are walking down the street, but instead of gazing up at the sky, they are looking straight ahead at the road. You can see fewer cars being recalled for visibility issues as drivers pay more attention to the road instead of being distracted by the sky. The decrease in automotive recalls for visibility issues is symbolized by a smaller pile of car parts labeled "recalled" next to a car manufacturing plant. The fading curiosity about the sky's color is shown by a group of people looking at their smartphones or chatting with each other instead of craning their necks upwards.

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: [ Cyber folk ] and depicting this scene: Imagine a scene where people are walking down the street, but instead of gazing up at the sky, they are looking straight ahead at the road. You can see fewer cars being recalled for visibility issues as drivers pay more attention to the road instead of being distracted by the sky. The decrease in automotive recalls for visibility issues is symbolized by a smaller pile of car parts labeled "recalled" next to a car manufacturing plant. The fading curiosity about the sky's color is shown by a group of people looking at their smartphones or chatting with each other instead of craning their necks upwards. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a bustling city street, with people walking down the sidewalks, their attention focused on the road ahead. In the background, depict a car manufacturing plant with a smaller pile of car parts labeled "recalled" to symbolize a decrease in automotive recalls due to visibility issues. Show fewer cars being affected as drivers pay more attention to the road. Additionally, illustrate a group of people looking at their smartphones or engaging in conversations, symbolizing the fading curiosity about the sky's color. Capture the contrast between the busy street and the dwindling interest in looking up to the sky. The overall visual should convey the shift in attention and the resulting decrease in automotive recalls.

*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.

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 increases in why is the sky blue (Google searches for 'why is the sky blue') positively influenced Automotive recalls for issues with Visibility.

AI academic paper

(Because p < 0.01)
The Blue Sky Inquiry: Exploring the Link between Internet Searches and Automotive Visibility Recalls

The Journal of Technological Trends and Transportation Safety

Jan 2024

Reminder: This paper is AI-generated. Not real!
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 silly researcher writing an academic paper.You write titles and abstracts of goofy academic research papers.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, and add unexpected twists in your writing.

Please draft the title and abstract of an academic research paper presenting the findings of the connection between Google searches for 'why is the sky blue' and Automotive recalls for issues with Visibility. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Include a pun in the title.

Your research team used data from Google Trends and US DOT to assess this nagging question. You found a correlation coefficient of 0.8750567 and p < 0.01 for 2004 to 2022.

Please respond in this format (replace "Lorem ipsum dolor sit" with your title and abstract)

[[TITLE]]
Lorem ipsum dolor sit

[[ABSTRACT]]
Lorem ipsum dolor sit



ChatGPT:
[[TITLE]]
The Blue Sky Inquiry: Exploring the Link between Internet Searches and Automotive Visibility Recalls

[[ABSTRACT]]
This study delves into the perplexing and age-old question of why the sky is blue, and examines its unexpected connection to visibility-related automotive recalls. Leveraging data from Google Trends and the US Department of Transportation, our research team uncovered a striking correlation between Google searches for "why is the sky blue" and automotive recalls pertaining to visibility issues. Despite the seemingly whimsical nature of the topic, our findings revealed a correlation coefficient of 0.8750567 with p < 0.01 for the years spanning 2004 to 2022. This study sheds light on a previously overlooked association, underlining the importance of considering seemingly unrelated factors in automotive safety evaluations. While our results may seem far-fetched, we urge readers to look beyond the surface and appreciate the humor in the unexpected intertwining of cosmic phenomena and vehicular safety concerns.


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

Please make up the introduction section of an academic research paper presenting the findings of the connection between Google searches for 'why is the sky blue' and Automotive recalls for issues with Visibility. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Here is the title and abstract of the paper:
[[TITLE]]
The Blue Sky Inquiry: Exploring the Link between Internet Searches and Automotive Visibility Recalls

[[ABSTRACT]]
This study delves into the perplexing and age-old question of why the sky is blue, and examines its unexpected connection to visibility-related automotive recalls. Leveraging data from Google Trends and the US Department of Transportation, our research team uncovered a striking correlation between Google searches for "why is the sky blue" and automotive recalls pertaining to visibility issues. Despite the seemingly whimsical nature of the topic, our findings revealed a correlation coefficient of 0.8750567 with p < 0.01 for the years spanning 2004 to 2022. This study sheds light on a previously overlooked association, underlining the importance of considering seemingly unrelated factors in automotive safety evaluations. While our results may seem far-fetched, we urge readers to look beyond the surface and appreciate the humor in the unexpected intertwining of cosmic phenomena and vehicular safety concerns.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

The interplay between human curiosity, cosmic wonders, and automotive safety has seldom been explored in scholarly literature. The question "why is the sky blue?" has puzzled minds for centuries, surfacing in conversations, trivia games, and, most recently, in Google searches. At the same time, the automotive industry has been grappling with visibility-related recalls, often shadowed by the weightier concerns of mechanical malfunctions and safety features. The unlikely convergence of these disparate threads has prompted our investigation into the potential link between the perennial question about the sky’s azure hue and automotive visibility issues.

The inexplicable allure of the question "why is the sky blue?" has persisted, captivating minds across ages and cultures. It is a query that has led philosophers to ponder, scientists to elucidate, and parents to feign confidence in providing child-friendly explanations involving the scattering of light. The popularity of this celestial inquiry has soared in the era of search engines, where the curious and the bewildered, armed with keyboards and a thirst for cosmic knowledge, turn to virtual repositories for enlightenment. Amidst the myriad questions probing the depths of human curiosity, such as "why do we yawn?" and "is there life on Mars?", "why is the sky blue?" takes its place as a whimsical beacon of inquiry, attracting both serious scientific explorations and lighthearted musings.

Despite the lighthearted nature of the sky’s chromatic riddle, automotive visibility issues persist as a matter of serious concern. Manufacturers strive to ensure that drivers have optimal visibility, whether navigating through urban landscapes or cruising along scenic routes. Recalls related to visibility problems, including fogged or blurred windshields, malfunctioning wipers, or obscured rear-view mirrors, are testament to the critical role of clear vision in safe driving. The gravity of visibility concerns is reflected in the regulatory scrutiny and public awareness campaigns aimed at bolstering automotive safety, underscoring the significance of clear sightlines in averting potential hazards.

It is within this peculiar juncture of ethereal inquiries and earthly automotive affairs that our investigation unfolds. By probing the intersecting trajectories of Google searches for "why is the sky blue" and automotive recalls pertaining to visibility, we not only seek to unravel a potential correlation but also aim to inject a dash of levity into the often sober discourse surrounding vehicular safety evaluations. In presenting our findings, we invite readers to embark on an unconventional journey, where cosmic whimsy dances with automotive pragmatism, and where the unexpected connection between celestial phenomena and automotive visibility issues challenges preconceived notions.


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

Please make up a literature review section of an academic research paper presenting the findings of the connection between Google searches for 'why is the sky blue' and Automotive recalls for issues with Visibility. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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

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

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then you might move on to cartoons and children's shows that you watched for research.

Here is the title and abstract of the paper:
[[TITLE]]
The Blue Sky Inquiry: Exploring the Link between Internet Searches and Automotive Visibility Recalls

[[ABSTRACT]]
This study delves into the perplexing and age-old question of why the sky is blue, and examines its unexpected connection to visibility-related automotive recalls. Leveraging data from Google Trends and the US Department of Transportation, our research team uncovered a striking correlation between Google searches for "why is the sky blue" and automotive recalls pertaining to visibility issues. Despite the seemingly whimsical nature of the topic, our findings revealed a correlation coefficient of 0.8750567 with p < 0.01 for the years spanning 2004 to 2022. This study sheds light on a previously overlooked association, underlining the importance of considering seemingly unrelated factors in automotive safety evaluations. While our results may seem far-fetched, we urge readers to look beyond the surface and appreciate the humor in the unexpected intertwining of cosmic phenomena and vehicular safety concerns.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The interplay between human curiosity, cosmic wonders, and automotive safety has seldom been explored in scholarly literature. The question "why is the sky blue?" has puzzled minds for centuries, surfacing in conversations, trivia games, and, most recently, in Google searches. At the same time, the automotive industry has been grappling with visibility-related recalls, often shadowed by the weightier concerns of mechanical malfunctions and safety features. The unlikely convergence of these disparate threads has prompted our investigation into the potential link between the perennial question about the sky’s azure hue and automotive visibility issues.
The inexplicable allure of the question "why is the sky blue?" has persisted, captivating minds across ages and cultures. It is a query that has led philosophers to ponder, scientists to elucidate, and parents to feign confidence in providing child-friendly explanations involving the scattering of light. The popularity of this celestial inquiry has soared in the era of search engines, where the curious and the bewildered, armed with keyboards and a thirst for cosmic knowledge, turn to virtual repositories for enlightenment. Amidst the myriad questions probing the depths of human curiosity, such as "why do we yawn?" and "is there life on Mars?", "why is the sky blue?" takes its place as a whimsical beacon of inquiry, attracting both serious scientific explorations and lighthearted musings.
Despite the lighthearted nature of the sky’s chromatic riddle, automotive visibility issues persist as a matter of serious concern. Manufacturers strive to ensure that drivers have optimal visibility, whether navigating through urban landscapes or cruising along scenic routes. Recalls related to visibility problems, including fogged or blurred windshields, malfunctioning wipers, or obscured rear-view mirrors, are testament to the critical role of clear vision in safe driving. The gravity of visibility concerns is reflected in the regulatory scrutiny and public awareness campaigns aimed at bolstering automotive safety, underscoring the significance of clear sightlines in averting potential hazards.
It is within this peculiar juncture of ethereal inquiries and earthly automotive affairs that our investigation unfolds. By probing the intersecting trajectories of Google searches for "why is the sky blue" and automotive recalls pertaining to visibility, we not only seek to unravel a potential correlation but also aim to inject a dash of levity into the often sober discourse surrounding vehicular safety evaluations. In presenting our findings, we invite readers to embark on an unconventional journey, where cosmic whimsy dances with automotive pragmatism, and where the unexpected connection between celestial phenomena and automotive visibility issues challenges preconceived notions.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

Our inquiry into the peculiar intersection of cosmic curiosity and vehicular safety has led us to delve into a variety of research sources, ranging from serious scholarly investigations to more unconventional readings. The study by Smith et al. (2015) provides a comprehensive analysis of automotive visibility concerns, highlighting the significance of unobstructed sightlines for ensuring driver safety. Similarly, Doe and Jones (2018) offer insightful perspectives on the complexities of light scattering and its relevance to visual perception, shedding light on the intricate mechanisms underlying human vision.

Moving beyond the realm of traditional academic literature, we draw attention to the works of non-fiction authors such as "Light and Color in the Outdoors" by Lynch and Livingston, which elucidates the intricate interplay of light and atmospheric phenomena, including the dispersion of light that gives rise to the blue hue of the sky. This comprehensive exploration of optical phenomena serves as a foundation for understanding the cosmic puzzle at the heart of our investigation.

As we ventured further into the literature, we encountered fictional works that, albeit seemingly unrelated, offered unexpected parallels to our research inquiry. In "The Alchemist" by Paulo Coelho, the protagonist embarks on a quest for hidden truths and interconnectedness, mirroring our own pursuit of uncovering the mysterious links between celestial phenomena and automotive recalls. Similarly, "The Hitchhiker’s Guide to the Galaxy" by Douglas Adams playfully navigates the whimsical complexities of the cosmos, reminding us of the serendipitous nature of scientific inquiry and the potential for surprising discoveries.

Embracing a broader scope, we also turned to children's shows and cartoons for insights into the cultural fascination with the enigmatic question, "why is the sky blue?" Programs such as "Bill Nye the Science Guy" and "Magic School Bus" not only captured the imaginations of young audiences but also imparted essential scientific concepts, fostering an early appreciation for the wonders of the natural world and the joy of exploration.

In synthesizing these diverse sources, we recognize the inherently interdisciplinary nature of our investigation, weaving together threads of scientific inquiry, literary allusions, and childhood wonderment. Our foray into these multitudinous realms not only enriches our understanding of the interplay between celestial phenomena and vehicular safety but also infuses an element of lightheartedness into the scholarly discourse, inviting readers to join us in unveiling the delightful surprises that await at the nexus of cosmic whimsy and automotive practicality.


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

Please make up the methodology section of an academic research paper presenting the findings of the connection between Google searches for 'why is the sky blue' and Automotive recalls for issues with Visibility. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Your research team collected data from all across the internet, but mostly just used information from Google Trends and US DOT . You used data from 2004 to 2022

Make up the research methods you don't know. Make them a bit goofy and convoluted.

Here is the title, abstract, and introduction of the paper:
[[TITLE]]
The Blue Sky Inquiry: Exploring the Link between Internet Searches and Automotive Visibility Recalls

[[ABSTRACT]]
This study delves into the perplexing and age-old question of why the sky is blue, and examines its unexpected connection to visibility-related automotive recalls. Leveraging data from Google Trends and the US Department of Transportation, our research team uncovered a striking correlation between Google searches for "why is the sky blue" and automotive recalls pertaining to visibility issues. Despite the seemingly whimsical nature of the topic, our findings revealed a correlation coefficient of 0.8750567 with p < 0.01 for the years spanning 2004 to 2022. This study sheds light on a previously overlooked association, underlining the importance of considering seemingly unrelated factors in automotive safety evaluations. While our results may seem far-fetched, we urge readers to look beyond the surface and appreciate the humor in the unexpected intertwining of cosmic phenomena and vehicular safety concerns.

[[INTRODUCTION]]
The interplay between human curiosity, cosmic wonders, and automotive safety has seldom been explored in scholarly literature. The question "why is the sky blue?" has puzzled minds for centuries, surfacing in conversations, trivia games, and, most recently, in Google searches. At the same time, the automotive industry has been grappling with visibility-related recalls, often shadowed by the weightier concerns of mechanical malfunctions and safety features. The unlikely convergence of these disparate threads has prompted our investigation into the potential link between the perennial question about the sky’s azure hue and automotive visibility issues.
The inexplicable allure of the question "why is the sky blue?" has persisted, captivating minds across ages and cultures. It is a query that has led philosophers to ponder, scientists to elucidate, and parents to feign confidence in providing child-friendly explanations involving the scattering of light. The popularity of this celestial inquiry has soared in the era of search engines, where the curious and the bewildered, armed with keyboards and a thirst for cosmic knowledge, turn to virtual repositories for enlightenment. Amidst the myriad questions probing the depths of human curiosity, such as "why do we yawn?" and "is there life on Mars?", "why is the sky blue?" takes its place as a whimsical beacon of inquiry, attracting both serious scientific explorations and lighthearted musings.
Despite the lighthearted nature of the sky’s chromatic riddle, automotive visibility issues persist as a matter of serious concern. Manufacturers strive to ensure that drivers have optimal visibility, whether navigating through urban landscapes or cruising along scenic routes. Recalls related to visibility problems, including fogged or blurred windshields, malfunctioning wipers, or obscured rear-view mirrors, are testament to the critical role of clear vision in safe driving. The gravity of visibility concerns is reflected in the regulatory scrutiny and public awareness campaigns aimed at bolstering automotive safety, underscoring the significance of clear sightlines in averting potential hazards.
It is within this peculiar juncture of ethereal inquiries and earthly automotive affairs that our investigation unfolds. By probing the intersecting trajectories of Google searches for "why is the sky blue" and automotive recalls pertaining to visibility, we not only seek to unravel a potential correlation but also aim to inject a dash of levity into the often sober discourse surrounding vehicular safety evaluations. In presenting our findings, we invite readers to embark on an unconventional journey, where cosmic whimsy dances with automotive pragmatism, and where the unexpected connection between celestial phenomena and automotive visibility issues challenges preconceived notions.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

In order to investigate the peculiar connection between searches for "why is the sky blue" and automotive recalls for visibility issues, our research team embarked on a data-driven expedition across the digital landscape. We harnessed the power of Google Trends, the internet's zeitgeist oracle, to dissect the temporal patterns of queries related to the enigmatic blue of the sky. Leveraging this platform's vast repository of search data from 2004 to 2022, we meticulously scrutinized the frequency and geographical distribution of searches for "why is the sky blue" across different periods and regions, encompassing both the erudite musings of scholars and the curious ponderings of laypersons.

Simultaneously, to illuminate the parallel trajectory of concerns within the automotive realm, we delved into the archives of the US Department of Transportation (DOT), an invaluable repository encapsulating the ebb and flow of vehicular safety concerns. With a fervent spirit of inquiry and an arsenal of statistical tools, we meticulously sifted through the DOT's repository of automotive recalls, cherry-picking instances where visibility issues cast a murky shadow over vehicular safety. Our data collection efforts were complemented by judicious exclusion criteria, aiming to weed out spurious correlations and preserve the integrity of our analysis.

The datasets from Google Trends and the US DOT were harmonized, inviting us to navigate through a labyrinth of numerical intricacies and treacherous statistical rapids. Employing sophisticated statistical techniques, including correlation analyses and time series modeling, we endeavored to disentangle the complex interplay between the metaphysical allure of the sky's cerulean canvas and the tangible concerns of automotive visibility. Through this analytical odyssey, we sought to lay bare any covert links between the celestial musings of internet denizens and the gritty realities of automotive safety evaluations.

Armed with curiosity, skepticism, and an ample supply of caffeinated beverages, our foray into the mysterious juncture of cosmic enigma and vehicular safety culminated in a revelatory display of analyses, unearthing unexpected parallels and correlations that transcend the conventional boundaries of scholarly exploration.


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

Please make up the results section of an academic research paper presenting the findings of the connection between Google searches for 'why is the sky blue' and Automotive recalls for issues with Visibility. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Your research team collected data from all across the internet, but mostly just used information from Google Trends and US DOT .

For the time period 2004 to 2022, you found a correlation 0.8750567, r-squared of 0.7657242, 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 Blue Sky Inquiry: Exploring the Link between Internet Searches and Automotive Visibility Recalls

[[ABSTRACT]]
This study delves into the perplexing and age-old question of why the sky is blue, and examines its unexpected connection to visibility-related automotive recalls. Leveraging data from Google Trends and the US Department of Transportation, our research team uncovered a striking correlation between Google searches for "why is the sky blue" and automotive recalls pertaining to visibility issues. Despite the seemingly whimsical nature of the topic, our findings revealed a correlation coefficient of 0.8750567 with p < 0.01 for the years spanning 2004 to 2022. This study sheds light on a previously overlooked association, underlining the importance of considering seemingly unrelated factors in automotive safety evaluations. While our results may seem far-fetched, we urge readers to look beyond the surface and appreciate the humor in the unexpected intertwining of cosmic phenomena and vehicular safety concerns.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The interplay between human curiosity, cosmic wonders, and automotive safety has seldom been explored in scholarly literature. The question "why is the sky blue?" has puzzled minds for centuries, surfacing in conversations, trivia games, and, most recently, in Google searches. At the same time, the automotive industry has been grappling with visibility-related recalls, often shadowed by the weightier concerns of mechanical malfunctions and safety features. The unlikely convergence of these disparate threads has prompted our investigation into the potential link between the perennial question about the sky’s azure hue and automotive visibility issues.
The inexplicable allure of the question "why is the sky blue?" has persisted, captivating minds across ages and cultures. It is a query that has led philosophers to ponder, scientists to elucidate, and parents to feign confidence in providing child-friendly explanations involving the scattering of light. The popularity of this celestial inquiry has soared in the era of search engines, where the curious and the bewildered, armed with keyboards and a thirst for cosmic knowledge, turn to virtual repositories for enlightenment. Amidst the myriad questions probing the depths of human curiosity, such as "why do we yawn?" and "is there life on Mars?", "why is the sky blue?" takes its place as a whimsical beacon of inquiry, attracting both serious scientific explorations and lighthearted musings.
Despite the lighthearted nature of the sky’s chromatic riddle, automotive visibility issues persist as a matter of serious concern. Manufacturers strive to ensure that drivers have optimal visibility, whether navigating through urban landscapes or cruising along scenic routes. Recalls related to visibility problems, including fogged or blurred windshields, malfunctioning wipers, or obscured rear-view mirrors, are testament to the critical role of clear vision in safe driving. The gravity of visibility concerns is reflected in the regulatory scrutiny and public awareness campaigns aimed at bolstering automotive safety, underscoring the significance of clear sightlines in averting potential hazards.
It is within this peculiar juncture of ethereal inquiries and earthly automotive affairs that our investigation unfolds. By probing the intersecting trajectories of Google searches for "why is the sky blue" and automotive recalls pertaining to visibility, we not only seek to unravel a potential correlation but also aim to inject a dash of levity into the often sober discourse surrounding vehicular safety evaluations. In presenting our findings, we invite readers to embark on an unconventional journey, where cosmic whimsy dances with automotive pragmatism, and where the unexpected connection between celestial phenomena and automotive visibility issues challenges preconceived notions.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The findings of our study have revealed a significant correlation between Google searches for "why is the sky blue" and automotive recalls related to visibility issues. The correlation coefficient of 0.8750567 and an r-squared value of 0.7657242 indicate a robust relationship between these seemingly unrelated domains. Remarkably, the p-value of less than 0.01 further validates the strength of this association, defying the odds of mere coincidence.

In Fig. 1, the scatterplot visually portrays the strong correlation between the frequency of Google searches for "why is the sky blue" and the occurrences of automotive recalls for visibility-related problems. The plot elegantly captures the intertwining of celestial curiosity and automotive safety concerns, inviting a moment of lighthearted contemplation amidst rigorous statistical analysis.

The unexpected convergence unearthed by this study underscores the need for a multidisciplinary approach to understanding complex phenomena within and outside the realm of automotive safety evaluations. While the correlation may initially appear as a whimsical anomaly, it beckons for deeper reflection on the interconnectedness of human curiosity, empirical data, and cosmic wonders. This serendipitous finding not only challenges conventional wisdom but also invites a moment of levity in the pursuit of scientific inquiry.

As researchers, we are always poised to uncover unexpected correlations and draw connections across diverse domains. The unanticipated linkage between the age-old query about the azure firmament and automotive visibility recalls presents a whimsical yet thought-provoking narrative, emphasizing the delight of stumbling upon the unexpected in the pursuit of knowledge.

Intriguingly, the correlation coefficient is a testament to the intertwining web of human curiosity and empirical phenomena, serving as a gentle reminder that the pursuit of knowledge occasionally takes us on unexpected detours. While the answer to "why is the sky blue" may remain enigmatic, its unforeseen journey into the realm of automotive safety adds a touch of cosmic whimsy to our scholarly pursuits.


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

Please make up the discussion section of an academic research paper presenting the findings of the connection between Google searches for 'why is the sky blue' and Automotive recalls for issues with Visibility. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Limit your response to 500 tokens.

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

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

[[TITLE]]
The Blue Sky Inquiry: Exploring the Link between Internet Searches and Automotive Visibility Recalls

[[ABSTRACT]]
This study delves into the perplexing and age-old question of why the sky is blue, and examines its unexpected connection to visibility-related automotive recalls. Leveraging data from Google Trends and the US Department of Transportation, our research team uncovered a striking correlation between Google searches for "why is the sky blue" and automotive recalls pertaining to visibility issues. Despite the seemingly whimsical nature of the topic, our findings revealed a correlation coefficient of 0.8750567 with p < 0.01 for the years spanning 2004 to 2022. This study sheds light on a previously overlooked association, underlining the importance of considering seemingly unrelated factors in automotive safety evaluations. While our results may seem far-fetched, we urge readers to look beyond the surface and appreciate the humor in the unexpected intertwining of cosmic phenomena and vehicular safety concerns.

[[LITERATURE REVIEW]]
Our inquiry into the peculiar intersection of cosmic curiosity and vehicular safety has led us to delve into a variety of research sources, ranging from serious scholarly investigations to more unconventional readings. The study by Smith et al. (2015) provides a comprehensive analysis of automotive visibility concerns, highlighting the significance of unobstructed sightlines for ensuring driver safety. Similarly, Doe and Jones (2018) offer insightful perspectives on the complexities of light scattering and its relevance to visual perception, shedding light on the intricate mechanisms underlying human vision.
Moving beyond the realm of traditional academic literature, we draw attention to the works of non-fiction authors such as "Light and Color in the Outdoors" by Lynch and Livingston, which elucidates the intricate interplay of light and atmospheric phenomena, including the dispersion of light that gives rise to the blue hue of the sky. This comprehensive exploration of optical phenomena serves as a foundation for understanding the cosmic puzzle at the heart of our investigation.
As we ventured further into the literature, we encountered fictional works that, albeit seemingly unrelated, offered unexpected parallels to our research inquiry. In "The Alchemist" by Paulo Coelho, the protagonist embarks on a quest for hidden truths and interconnectedness, mirroring our own pursuit of uncovering the mysterious links between celestial phenomena and automotive recalls. Similarly, "The Hitchhiker’s Guide to the Galaxy" by Douglas Adams playfully navigates the whimsical complexities of the cosmos, reminding us of the serendipitous nature of scientific inquiry and the potential for surprising discoveries.
Embracing a broader scope, we also turned to children's shows and cartoons for insights into the cultural fascination with the enigmatic question, "why is the sky blue?" Programs such as "Bill Nye the Science Guy" and "Magic School Bus" not only captured the imaginations of young audiences but also imparted essential scientific concepts, fostering an early appreciation for the wonders of the natural world and the joy of exploration.
In synthesizing these diverse sources, we recognize the inherently interdisciplinary nature of our investigation, weaving together threads of scientific inquiry, literary allusions, and childhood wonderment. Our foray into these multitudinous realms not only enriches our understanding of the interplay between celestial phenomena and vehicular safety but also infuses an element of lightheartedness into the scholarly discourse, inviting readers to join us in unveiling the delightful surprises that await at the nexus of cosmic whimsy and automotive practicality.

[[RESULTS]]
The findings of our study have revealed a significant correlation between Google searches for "why is the sky blue" and automotive recalls related to visibility issues. The correlation coefficient of 0.8750567 and an r-squared value of 0.7657242 indicate a robust relationship between these seemingly unrelated domains. Remarkably, the p-value of less than 0.01 further validates the strength of this association, defying the odds of mere coincidence.
In Fig. 1, the scatterplot visually portrays the strong correlation between the frequency of Google searches for "why is the sky blue" and the occurrences of automotive recalls for visibility-related problems. The plot elegantly captures the intertwining of celestial curiosity and automotive safety concerns, inviting a moment of lighthearted contemplation amidst rigorous statistical analysis.
The unexpected convergence unearthed by this study underscores the need for a multidisciplinary approach to understanding complex phenomena within and outside the realm of automotive safety evaluations. While the correlation may initially appear as a whimsical anomaly, it beckons for deeper reflection on the interconnectedness of human curiosity, empirical data, and cosmic wonders. This serendipitous finding not only challenges conventional wisdom but also invites a moment of levity in the pursuit of scientific inquiry.
As researchers, we are always poised to uncover unexpected correlations and draw connections across diverse domains. The unanticipated linkage between the age-old query about the azure firmament and automotive visibility recalls presents a whimsical yet thought-provoking narrative, emphasizing the delight of stumbling upon the unexpected in the pursuit of knowledge.
Intriguingly, the correlation coefficient is a testament to the intertwining web of human curiosity and empirical phenomena, serving as a gentle reminder that the pursuit of knowledge occasionally takes us on unexpected detours. While the answer to "why is the sky blue" may remain enigmatic, its unforeseen journey into the realm of automotive safety adds a touch of cosmic whimsy to our scholarly pursuits.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The remarkable correlation between Google searches for "why is the sky blue" and automotive recalls related to visibility issues provides ample food for thought. Our findings not only underscore the unexpected interconnectedness of seemingly disparate domains but also evoke a sense of lightheartedness in the often rigorous realm of scientific inquiry. The gravity-defying p-value of less than 0.01, alongside the robust correlation coefficient and r-squared value, lends statistical weight to this unexpected cosmic detour in automotive safety evaluations.

Harking back to our literature review, the work of Lynch and Livingston on light and color in the outdoors takes on a whole new dimension in light of our findings. The intricate interplay of light and atmospheric phenomena, as expounded upon by these scholars, resonates with the serendipitous dance of celestial curiosity and automotive practicality that we have uncovered. Likewise, the playful yet profound insights from non-fiction authors and fictional works seem to have unwittingly prepared us for the delightful surprises that awaited us in our research journey. The parallels found in "The Alchemist" and "The Hitchhiker’s Guide to the Galaxy" serve as unexpected guides through the cosmic labyrinth of interconnectedness, resonating with our own pursuit of uncovering hidden threads of association.

Moreover, as we reflect on the culturally pervasive question of "why is the sky blue," a question that has captivated the imaginations of both young and old, we cannot help but marvel at the seamless alignment of childhood wonderment with scholarly inquiry in our findings. The enthusiasm for curiosity cultivated by children's shows and cartoons has unfurled into an unexpected avenue of scientific investigation, breathing whimsy into the otherwise staid corridors of empirical analysis.

By integrating these seemingly whimsical elements into our scholarly discourse, we have reinvigorated the pursuit of knowledge with a dash of cosmic whimsy. Our results support the notion that unexpected correlations and unconventional sources of inspiration can carve out novel avenues of exploration, transcending traditional disciplinary boundaries. As we move forward in our scientific pursuits, we must not merely seek answers but also revel in the joy of stumbling upon the unexpected, embracing the serendipitous nature of discovery with a wink to the mystifying enigma of the azure heavens.


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

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Google searches for 'why is the sky blue' and Automotive recalls for issues with Visibility. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
The Blue Sky Inquiry: Exploring the Link between Internet Searches and Automotive Visibility Recalls

[[ABSTRACT]]
This study delves into the perplexing and age-old question of why the sky is blue, and examines its unexpected connection to visibility-related automotive recalls. Leveraging data from Google Trends and the US Department of Transportation, our research team uncovered a striking correlation between Google searches for "why is the sky blue" and automotive recalls pertaining to visibility issues. Despite the seemingly whimsical nature of the topic, our findings revealed a correlation coefficient of 0.8750567 with p < 0.01 for the years spanning 2004 to 2022. This study sheds light on a previously overlooked association, underlining the importance of considering seemingly unrelated factors in automotive safety evaluations. While our results may seem far-fetched, we urge readers to look beyond the surface and appreciate the humor in the unexpected intertwining of cosmic phenomena and vehicular safety concerns.

[[INTRDUCTION]]
The interplay between human curiosity, cosmic wonders, and automotive safety has seldom been explored in scholarly literature. The question "why is the sky blue?" has puzzled minds for centuries, surfacing in conversations, trivia games, and, most recently, in Google searches. At the same time, the automotive industry has been grappling with visibility-related recalls, often shadowed by the weightier concerns of mechanical malfunctions and safety features. The unlikely convergence of these disparate threads has prompted our investigation into the potential link between the perennial question about the sky’s azure hue and automotive visibility issues.
The inexplicable allure of the question "why is the sky blue?" has persisted, captivating minds across ages and cultures. It is a query that has led philosophers to ponder, scientists to elucidate, and parents to feign confidence in providing child-friendly explanations involving the scattering of light. The popularity of this celestial inquiry has soared in the era of search engines, where the curious and the bewildered, armed with keyboards and a thirst for cosmic knowledge, turn to virtual repositories for enlightenment. Amidst the myriad questions probing the depths of human curiosity, such as "why do we yawn?" and "is there life on Mars?", "why is the sky blue?" takes its place as a whimsical beacon of inquiry, attracting both serious scientific explorations and lighthearted musings.
Despite the lighthearted nature of the sky’s chromatic riddle, automotive visibility issues persist as a matter of serious concern. Manufacturers strive to ensure that drivers have optimal visibility, whether navigating through urban landscapes or cruising along scenic routes. Recalls related to visibility problems, including fogged or blurred windshields, malfunctioning wipers, or obscured rear-view mirrors, are testament to the critical role of clear vision in safe driving. The gravity of visibility concerns is reflected in the regulatory scrutiny and public awareness campaigns aimed at bolstering automotive safety, underscoring the significance of clear sightlines in averting potential hazards.
It is within this peculiar juncture of ethereal inquiries and earthly automotive affairs that our investigation unfolds. By probing the intersecting trajectories of Google searches for "why is the sky blue" and automotive recalls pertaining to visibility, we not only seek to unravel a potential correlation but also aim to inject a dash of levity into the often sober discourse surrounding vehicular safety evaluations. In presenting our findings, we invite readers to embark on an unconventional journey, where cosmic whimsy dances with automotive pragmatism, and where the unexpected connection between celestial phenomena and automotive visibility issues challenges preconceived notions.

[[RESULTS]]
The findings of our study have revealed a significant correlation between Google searches for "why is the sky blue" and automotive recalls related to visibility issues. The correlation coefficient of 0.8750567 and an r-squared value of 0.7657242 indicate a robust relationship between these seemingly unrelated domains. Remarkably, the p-value of less than 0.01 further validates the strength of this association, defying the odds of mere coincidence.
In Fig. 1, the scatterplot visually portrays the strong correlation between the frequency of Google searches for "why is the sky blue" and the occurrences of automotive recalls for visibility-related problems. The plot elegantly captures the intertwining of celestial curiosity and automotive safety concerns, inviting a moment of lighthearted contemplation amidst rigorous statistical analysis.
The unexpected convergence unearthed by this study underscores the need for a multidisciplinary approach to understanding complex phenomena within and outside the realm of automotive safety evaluations. While the correlation may initially appear as a whimsical anomaly, it beckons for deeper reflection on the interconnectedness of human curiosity, empirical data, and cosmic wonders. This serendipitous finding not only challenges conventional wisdom but also invites a moment of levity in the pursuit of scientific inquiry.
As researchers, we are always poised to uncover unexpected correlations and draw connections across diverse domains. The unanticipated linkage between the age-old query about the azure firmament and automotive visibility recalls presents a whimsical yet thought-provoking narrative, emphasizing the delight of stumbling upon the unexpected in the pursuit of knowledge.
Intriguingly, the correlation coefficient is a testament to the intertwining web of human curiosity and empirical phenomena, serving as a gentle reminder that the pursuit of knowledge occasionally takes us on unexpected detours. While the answer to "why is the sky blue" may remain enigmatic, its unforeseen journey into the realm of automotive safety adds a touch of cosmic whimsy to our scholarly pursuits.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our research has illuminated a previously unnoticed link between Google searches for the age-old question, "why is the sky blue," and automotive recalls for visibility-related issues. Our findings have revealed a striking correlation, challenging the conventional boundaries of inquiry. The unexpected convergence of these seemingly unrelated domains not only underscores the whimsical and humorous nature of our scholarly pursuits but also reiterates the need for interdisciplinary exploration in the quest for knowledge.

While our study may seem like a flight of fancy, it brings a breath of fresh air to the often somber conversation surrounding automotive safety evaluations. As we wrap up this investigation, we invite readers to appreciate the unexpected interplay between cosmic curiosity and earthly concerns, and to recognize the serendipitous humor embedded within our scholarly endeavors.

In light of our findings, we assert that no further research is needed in this area. The whimsical romance between the azure sky and automotive visibility issues has been sufficiently explored, leaving our scholarly pursuits with a touch of cosmic whimsy.


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 Blue Sky Inquiry: Exploring the Link between Internet Searches and Automotive Visibility Recalls. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Technological Trends and Transportation Safety


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 Blue Sky Inquiry: Exploring the Link between Internet Searches and Automotive Visibility Recalls. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Digital Discovery and Vehicle Safety


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 Blue Sky Inquiry: Exploring the Link between Internet Searches and Automotive Visibility Recalls with an abstract of This study delves into the perplexing and age-old question of why the sky is blue, and examines its unexpected connection to visibility-related automotive recalls. Leveraging data from Google Trends and the US Department of Transportation, our research team uncovered a striking correlation between Google searches for "why is the sky blue" and automotive recalls pertaining to visibility issues. Despite the seemingly whimsical nature of the topic, our findings revealed a correlation coefficient of 0.8750567 with p < 0.01 for the years spanning 2004 to 2022. This study sheds light on a previously overlooked association, underlining the importance of considering seemingly unrelated factors in automotive safety evaluations. While our results may seem far-fetched, we urge readers to look beyond the surface and appreciate the humor in the unexpected intertwining of cosmic phenomena and vehicular safety concerns.

ChatGPT:

"sky blue color," "Google Trends data," "automotive recalls visibility issues," "US Department of Transportation data," "correlation between internet searches and recalls," "cosmic phenomena automotive safety," "unexpected correlations in safety evaluations," "humor in research findings"

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



Random correlation

Discover a new correlation

View all correlations

View all research papers

Report an error


Data details

Google searches for 'why is the sky blue'
Detailed data title: Relative volume of Google searches for 'why is the sky blue' (Worldwide, without quotes)
Source: Google Trends
Additional Info: Relative search volume (not absolute numbers)

See what else correlates with Google searches for 'why is the sky blue'

Automotive recalls for issues with Visibility
Source: US DOT
See what else correlates with Automotive recalls for issues with Visibility

Correlation r = 0.8750567 (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 = 0.7657242 (Coefficient of determination)
This means 76.6% of the change in the one variable (i.e., Automotive recalls for issues with Visibility) is predictable based on the change in the other (i.e., Google searches for 'why is the sky blue') over the 19 years from 2004 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 9.4E-7. 0.0000009423680957956473000000
The p-value is a measure of how probable it is that we would randomly find a result this extreme. More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.

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

Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.88 in 9.4E-5% of random cases. Said differently, if you correlated 1,061,156 random variables You don't actually need 1 million variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.

p-value calculations are useful for understanding the probability of a result happening by chance. They are most useful when used to highlight the risk of a fluke outcome. For example, if you calculate a p-value of 0.30, the risk that the result is a fluke is high. It is good to know that! But there are lots of ways to get a p-value of less than 0.01, as evidenced by this project.

In this particular case, the values are so extreme as to be meaningless. That's why no one reports p-values with specificity after they drop below 0.01.

Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 18 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 18 because we have two variables measured over a period of 19 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.

[ 0.7, 0.95 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

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


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

Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
2004200520062007200820092010201120122013201420152016201720182019202020212022
Google searches for 'why is the sky blue' (Rel. search volume)22.083319.166719.2517.41671623.416741.5123.83372.7531.916723.083321.583316.7514.916714.166715.083317.333312.7517.5
Automotive recalls for issues with Visibility (Recalls)11101614151126774015102024113425181624




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 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 Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
    p-value calculation does not take this into account, so mathematically it appears less probable than it really is.




Try it yourself

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

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

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

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

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

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

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

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

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


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

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

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

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

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([22.0833,19.1667,19.25,17.4167,16,23.4167,41.5,123.833,72.75,31.9167,23.0833,21.5833,16.75,14.9167,14.1667,15.0833,17.3333,12.75,17.5,])
array_2 = np.array([11,10,16,14,15,11,26,77,40,15,10,20,24,11,34,25,18,16,24,])
array_1_name = "Google searches for 'why is the sky blue'"
array_2_name = "Automotive recalls for issues with Visibility"

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

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



Reuseable content

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

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

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

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

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

Download images for these variables:


View another random correlation

How fun was this correlation?

Your rating is stellar!


Correlation ID: 1190 · Black Variable ID: 1387 · Red Variable ID: 1107
about · subscribe · emailme@tylervigen.com · twitter

CC BY 4.0