Spurious correlation #5,119 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is The number of Breweries in the United States and the second variable is Popularity of the 'this is fine' meme. The chart goes from 2006 to 2022, 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 The number of Breweries in the United States and the second variable is Popularity of the 'this is fine' meme. The chart goes from 2006 to 2022, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As the number of breweries in the United States increased, so did the production of craft beers. This led to a corresponding increase in the consumption of said beers. As more people imbibed, they found themselves in situations reminiscent of the 'this is fine' meme, where everything may seem to be falling apart, but they were determined to stay optimistic and unfazed - much like the characters in the meme who calmly sipped their coffee amidst chaos. This increased relatability fueled the meme's popularity, creating a hoppy connection between the burgeoning brewery scene and the spread of the 'this is fine' meme.

^{Show image generation prompt} Create a meme inspired by the this is fine meme that in some way references The number of Breweries in the United States. Try to emulate the style of the meme - don’t violate the copyright, just make it look and feel like the original meme.

This image generation prompt was also generated by AI, using the following sequence:

*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 The number of Breweries in the United States caused Popularity of the 'this is fine' meme to increase.

AI academic paper

(Because p < 0.01)

Crafts on Draft: The State of Brews and Moods in the United States

The Fermented Inquiry Quarterly

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 The number of Breweries in the United States and Popularity of the 'this is fine' meme. 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 name some cartoons and childrens' shows that you watched that are related to the topic.

Here is the title and abstract of the paper:
[[TITLE]]
"Crafts on Draft: The State of Brews and Moods in the United States"

[[ABSTRACT]]
This study delves into the correlation between the proliferation of breweries in the United States and the resurgence of the 'this is fine' meme. Utilizing data from the Brewers Association and Google Trends, we meticulously analyzed the trends from 2006 to 2022. Our findings revealed a striking correlation coefficient of 0.9517956 and a statistically significant p-value of less than 0.01. The results not only highlight the interconnectedness of craft beer culture and internet memes but also provide a whimsical lens through which to view the evolving socio-cultural landscape and its oddball manifestations.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The intertwining of cultural phenomena and societal trends has long been a subject of fascination for researchers across various disciplines. In recent years, the craft beer industry has experienced a renaissance, with an exponential increase in the number of breweries across the United States. Simultaneously, the infamous 'this is fine' meme has resurfaced as a peculiar emblem of nonchalance in the face of chaos, gaining significant traction in the digital sphere. The serendipitous coexistence of these two seemingly disparate trends has piqued the curiosity of both scholars and casual observers alike.
As we embark upon this enigmatic investigation, we are met with a confluence of complexities and curiosities. The intangible nature of internet memes, combined with the tangible proliferation of breweries, presents a unique opportunity to apply statistical analyses and delve into the whimsical yet profound role these factors may play in society. Our exploration of the correlation between the number of breweries in the United States and the popularity of the 'this is fine' meme seeks to shed light on not only the statistical relationship between these variables but also the underlying cultural undercurrents that may underpin this curious nexus.
Akin to a well-crafted brew, this inquiry is laced with layers of nuance and depth, offering a stirring concoction of statistical intricacies and sociocultural musings. Through a meticulous examination of data sourced from the Brewers Association and Google Trends, we endeavor to uncork the peculiar correlations and potential causations that may lie at the heart of this unlikely relationship. In doing so, we hope to bring forth a brew of insights that infuses a dash of empirical rigor with a twist of whimsy.
To decipher the enigmatic dance between pints and memes is to embark upon a journey of statistical scrutiny and intellectual gustation, where the fluidity of trends commingles with the froth of cultural zeitgeist. As we raise our glasses to this peculiar undertaking, let us embark upon a spirited exploration that may just leave us with a refreshing taste of insight and the lingering aroma of merriment.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

The connection between the number of breweries in the United States and the popularity of the 'this is fine' meme has attracted attention from a variety of sources. Smith et al. (2018) conducted a comprehensive analysis of brewery proliferation in the U.S., meticulously documenting the exponential rise in craft beer establishments. Similarly, Doe and Jones (2019) delved into the cultural significance of internet memes, uncovering the intricate ways in which digital symbols permeate societal consciousness. These scholarly efforts served as critical foundations for our exploration of the delightful, albeit bizarre, correlation between these two seemingly unrelated phenomena.

In "The Economics of Beer" by Swinnen and Brisk (2016), the authors provide a thorough overview of the economic dynamics underpinning the craft brewing industry. Their work offers valuable insights into the market forces that have contributed to the proliferation of breweries in the United States. On the contrary, "The Psychology of Internet Memes" by Witte et al. (2017) sheds light on the psychological mechanisms that underlie the virality of internet memes, which have become integral to contemporary digital culture.

Venturing beyond the realm of non-fiction, the influence of cultural narratives on brewing is eloquently examined in Ken Follett's "A Column of Fire" and the captivating "The Monk of Mokha" by Dave Eggers. These literary works subtly weave the themes of societal upheaval and perseverance, mirroring the resilience and innovation within the craft beer landscape. Furthermore, the mythical allure of self-assured optimism embodied by the 'this is fine' meme finds resonance in the whimsical world of Lewis Carroll's "Alice's Adventures in Wonderland," where absurdity and composure converge in a topsy-turvy playground of paradoxes.

Drawing upon childhood recollections, the animated escapades of "The Simpsons" and the endearing resilience of "SpongeBob SquarePants" offer poignant parallels to the 'this is fine' meme, encapsulating moments of surreal adversity with a touch of levity and resilience. These childhood staples serve as poignant reminders of the enduring appeal of nonchalance in the face of chaos, a sentiment that resonates in the quirky allure of the 'this is fine' meme.

As we navigate through the labyrinthine corridors of literature and popular culture, the whimsical marriage of breweries and memes invites both scholarly inquiry and whimsical contemplation. Just as the effervescence of a well-crafted brew dances with the taste buds, so too does the 'this is fine' meme meander through the digital landscape, leaving a lingering aftertaste of humor and introspection. Thus, this academic endeavor seeks to converge statistical analyses with a dash of playfulness, offering a toast to the improbable tapestry that binds pints and memes in an enigmatic union.

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 The number of Breweries in the United States and Popularity of the 'this is fine' meme. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from Brewers Association and Google Trends . You used data from 2006 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]]
"Crafts on Draft: The State of Brews and Moods in the United States"

[[ABSTRACT]]
This study delves into the correlation between the proliferation of breweries in the United States and the resurgence of the 'this is fine' meme. Utilizing data from the Brewers Association and Google Trends, we meticulously analyzed the trends from 2006 to 2022. Our findings revealed a striking correlation coefficient of 0.9517956 and a statistically significant p-value of less than 0.01. The results not only highlight the interconnectedness of craft beer culture and internet memes but also provide a whimsical lens through which to view the evolving socio-cultural landscape and its oddball manifestations.

[[INTRODUCTION]]
The intertwining of cultural phenomena and societal trends has long been a subject of fascination for researchers across various disciplines. In recent years, the craft beer industry has experienced a renaissance, with an exponential increase in the number of breweries across the United States. Simultaneously, the infamous 'this is fine' meme has resurfaced as a peculiar emblem of nonchalance in the face of chaos, gaining significant traction in the digital sphere. The serendipitous coexistence of these two seemingly disparate trends has piqued the curiosity of both scholars and casual observers alike.
As we embark upon this enigmatic investigation, we are met with a confluence of complexities and curiosities. The intangible nature of internet memes, combined with the tangible proliferation of breweries, presents a unique opportunity to apply statistical analyses and delve into the whimsical yet profound role these factors may play in society. Our exploration of the correlation between the number of breweries in the United States and the popularity of the 'this is fine' meme seeks to shed light on not only the statistical relationship between these variables but also the underlying cultural undercurrents that may underpin this curious nexus.
Akin to a well-crafted brew, this inquiry is laced with layers of nuance and depth, offering a stirring concoction of statistical intricacies and sociocultural musings. Through a meticulous examination of data sourced from the Brewers Association and Google Trends, we endeavor to uncork the peculiar correlations and potential causations that may lie at the heart of this unlikely relationship. In doing so, we hope to bring forth a brew of insights that infuses a dash of empirical rigor with a twist of whimsy.
To decipher the enigmatic dance between pints and memes is to embark upon a journey of statistical scrutiny and intellectual gustation, where the fluidity of trends commingles with the froth of cultural zeitgeist. As we raise our glasses to this peculiar undertaking, let us embark upon a spirited exploration that may just leave us with a refreshing taste of insight and the lingering aroma of merriment.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

The pursuit of unraveling the nexus between the number of breweries in the United States and the popularity of the 'this is fine' meme necessitated a methodological approach that could capture the multifaceted essence of this whimsical yet potentially profound correlation. To this end, a comprehensive review of data spanning the years 2006 to 2022 was conducted, with a predilection for sources such as the Brewers Association and Google Trends.

Merging the realms of craft beer and internet culture, the first step entailed the careful curation of brewery data, encompassing variables such as the total number of breweries, craft breweries, and microbreweries. Subsequently, data pertaining to the frequency and geographical distribution of the 'this is fine' meme searches on Google Trends served as the complementary component of this peculiar blend of statistical concoction.

In order to distill the relevant insights from this amalgamation of data, descriptive statistical analyses were employed to illuminate the central tendencies and variability present in the respective datasets. Moreover, time series analysis was utilized to discern potential temporal patterns and trends embedded within the esoteric dance between beer production and internet memes. The calculated correlation coefficient provided a quantitative measure of the strength and direction of the relationship between these seemingly incongruous variables, while the determination of the p-value lent statistical significance to the observed associations.

The key to unlocking the enigmatic correlation lay in the seamless integration of scientific rigor and lyrical whimsy, akin to the harmonious fusion of hops and malt in a finely crafted brew. The empirical insights and sociocultural revelations that emerged from this unlikely marriage of statistical analyses were not only a testament to the dexterity of scientific inquiry but also a celebration of the mercurial charms that underlie the tableau of human existence. As such, the concoction of methodology and mischief allowed us to raise a toast to the offbeat correlations and peculiar pairings that infuse our world with an inimitable flavor of intrigue.

The tango of statistics and societal quirks beckoned us to indulge in a dance of inquiry, where the steps of empirical method and the twirls of cultural nuance painted a picture as captivating as a kaleidoscope of bubbles in a freshly poured pint. The enriching effervescence of this peculiar endeavor lay not only in the unveiling of statistical relationships but also in the playful revelry of deciphering the cryptic codes of cultural zeitgeist. Thus, the methodology served as a gentle prodding for our scholarly palate, urging us to savor each sip of insight, infused with the warmth of statistical precision and the whimsy of cultural confluence.

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 The number of Breweries in the United States and Popularity of the 'this is fine' meme. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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]]
"Crafts on Draft: The State of Brews and Moods in the United States"

[[ABSTRACT]]
This study delves into the correlation between the proliferation of breweries in the United States and the resurgence of the 'this is fine' meme. Utilizing data from the Brewers Association and Google Trends, we meticulously analyzed the trends from 2006 to 2022. Our findings revealed a striking correlation coefficient of 0.9517956 and a statistically significant p-value of less than 0.01. The results not only highlight the interconnectedness of craft beer culture and internet memes but also provide a whimsical lens through which to view the evolving socio-cultural landscape and its oddball manifestations.

[[LITERATURE REVIEW]]
The connection between the number of breweries in the United States and the popularity of the 'this is fine' meme has attracted attention from a variety of sources. Smith et al. (2018) conducted a comprehensive analysis of brewery proliferation in the U.S., meticulously documenting the exponential rise in craft beer establishments. Similarly, Doe and Jones (2019) delved into the cultural significance of internet memes, uncovering the intricate ways in which digital symbols permeate societal consciousness. These scholarly efforts served as critical foundations for our exploration of the delightful, albeit bizarre, correlation between these two seemingly unrelated phenomena.
In "The Economics of Beer" by Swinnen and Brisk (2016), the authors provide a thorough overview of the economic dynamics underpinning the craft brewing industry. Their work offers valuable insights into the market forces that have contributed to the proliferation of breweries in the United States. On the contrary, "The Psychology of Internet Memes" by Witte et al. (2017) sheds light on the psychological mechanisms that underlie the virality of internet memes, which have become integral to contemporary digital culture.
Venturing beyond the realm of non-fiction, the influence of cultural narratives on brewing is eloquently examined in Ken Follett's "A Column of Fire" and the captivating "The Monk of Mokha" by Dave Eggers. These literary works subtly weave the themes of societal upheaval and perseverance, mirroring the resilience and innovation within the craft beer landscape. Furthermore, the mythical allure of self-assured optimism embodied by the 'this is fine' meme finds resonance in the whimsical world of Lewis Carroll's "Alice's Adventures in Wonderland," where absurdity and composure converge in a topsy-turvy playground of paradoxes.
Drawing upon childhood recollections, the animated escapades of "The Simpsons" and the endearing resilience of "SpongeBob SquarePants" offer poignant parallels to the 'this is fine' meme, encapsulating moments of surreal adversity with a touch of levity and resilience. These childhood staples serve as poignant reminders of the enduring appeal of nonchalance in the face of chaos, a sentiment that resonates in the quirky allure of the 'this is fine' meme.
As we navigate through the labyrinthine corridors of literature and popular culture, the whimsical marriage of breweries and memes invites both scholarly inquiry and whimsical contemplation. Just as the effervescence of a well-crafted brew dances with the taste buds, so too does the 'this is fine' meme meander through the digital landscape, leaving a lingering aftertaste of humor and introspection. Thus, this academic endeavor seeks to converge statistical analyses with a dash of playfulness, offering a toast to the improbable tapestry that binds pints and memes in an enigmatic union.

[[RESULTS]]
The results of our analysis revealed a notably robust correlation between the number of breweries in the United States and the popularity of the 'this is fine' meme. The correlation coefficient of 0.9517956 indicated a strong positive relationship, suggesting that as the number of breweries increased, so did the prominence of the meme.
In addition, the r-squared value of 0.9059149 reflected the substantial proportion of variance in the 'this is fine' meme popularity that could be explained by the number of breweries. This result elucidates the extent to which the proliferation of breweries contributes to the buoyancy of the meme within the cultural zeitgeist.
The significance of our findings was further underscored by a p-value of less than 0.01, affirming the statistical strength of the observed correlation. This compelling evidence indicates that the relationship between the two variables is highly unlikely to be attributed to chance alone, warranting more in-depth exploration of potential underlying mechanisms.
Figure 1 displays a visual representation of the strong correlation observed between the number of breweries and the popularity of the 'this is fine' meme. The scatterplot elegantly encapsulates the convergence of these seemingly disparate phenomena, offering a striking portrayal of their intertwined trajectories over the years.
This study's findings not only illuminate the intertwined nature of craft beer culture and internet memes but also underscore the unforeseen connections that underpin societal phenomena. As we raise our metaphorical glasses to toast to these unexpected correlations, may we also savor the subtle flavors of statistical significance and sociocultural intrigue that have emerged from this spirited examination.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The findings of this study solidify the captivating relationship between the proliferation of breweries in the United States and the resurgence of the 'this is fine' meme. These results not only affirm the comical interconnectedness of craft beer culture and internet memes but also offer a compelling glimpse into the peculiar dynamics of contemporary socio-cultural trends. Our analysis yielded a striking correlation coefficient of 0.9517956, aligning with the predictions posited by Smith et al. (2018) and Doe and Jones (2019), who, to everyone's surprise, took the correlation seriously in their previous works. This substantiates their earlier assertions and reinforces the robust nature of the observed association, much like a sturdy pint glass.

The substantial r-squared value of 0.9059149 further corroborates the significant proportion of variance in the 'this is fine' meme popularity, with the number of breweries serving as a prominent explanatory factor. With such statistical cogency, the buoyancy of this peculiar meme within the cultural zeitgeist can be confidently attributed to the effervescence of the brewing landscape. The underpinnings of this connection, akin to the malty undertones beneath a frothy head, carry implications that extend beyond mere statistical significance, as hinted at by Swinnen and Brisk (2016).

The p-value of less than 0.01 underscores the improbability of this relationship being a product of chance alone, lending further weight to the notion that there is more to this curious correlation than meets the eye. Just as the subtle interplay of hops and malt yields a harmonious brew, the intertwining trajectories of breweries and the 'this is fine' meme paint a compelling picture of unexpected socio-cultural synchronicity. The visual representation in Figure 1 encapsulates this delightful convergence, offering a charming portrayal of the intertwined trajectories of these seemingly disparate phenomena, much like an artist's masterpiece.

In sum, our findings lend credence to the notion that the intersection of brews and moods within the United States is not merely a frothy dalliance but a robust and intricately woven tapestry of interconnected sociocultural forces. As we raise our hypothetical glasses to toast to these unlikely correlations, let us also raise a figurative eyebrow in amusement at the whimsical associations that emerge from the seemingly unlikely bedfellows of craft breweries and internet memes.

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 The number of Breweries in the United States and Popularity of the 'this is fine' meme. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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]]
"Crafts on Draft: The State of Brews and Moods in the United States"

[[ABSTRACT]]
This study delves into the correlation between the proliferation of breweries in the United States and the resurgence of the 'this is fine' meme. Utilizing data from the Brewers Association and Google Trends, we meticulously analyzed the trends from 2006 to 2022. Our findings revealed a striking correlation coefficient of 0.9517956 and a statistically significant p-value of less than 0.01. The results not only highlight the interconnectedness of craft beer culture and internet memes but also provide a whimsical lens through which to view the evolving socio-cultural landscape and its oddball manifestations.

[[INTRDUCTION]]
The intertwining of cultural phenomena and societal trends has long been a subject of fascination for researchers across various disciplines. In recent years, the craft beer industry has experienced a renaissance, with an exponential increase in the number of breweries across the United States. Simultaneously, the infamous 'this is fine' meme has resurfaced as a peculiar emblem of nonchalance in the face of chaos, gaining significant traction in the digital sphere. The serendipitous coexistence of these two seemingly disparate trends has piqued the curiosity of both scholars and casual observers alike.
As we embark upon this enigmatic investigation, we are met with a confluence of complexities and curiosities. The intangible nature of internet memes, combined with the tangible proliferation of breweries, presents a unique opportunity to apply statistical analyses and delve into the whimsical yet profound role these factors may play in society. Our exploration of the correlation between the number of breweries in the United States and the popularity of the 'this is fine' meme seeks to shed light on not only the statistical relationship between these variables but also the underlying cultural undercurrents that may underpin this curious nexus.
Akin to a well-crafted brew, this inquiry is laced with layers of nuance and depth, offering a stirring concoction of statistical intricacies and sociocultural musings. Through a meticulous examination of data sourced from the Brewers Association and Google Trends, we endeavor to uncork the peculiar correlations and potential causations that may lie at the heart of this unlikely relationship. In doing so, we hope to bring forth a brew of insights that infuses a dash of empirical rigor with a twist of whimsy.
To decipher the enigmatic dance between pints and memes is to embark upon a journey of statistical scrutiny and intellectual gustation, where the fluidity of trends commingles with the froth of cultural zeitgeist. As we raise our glasses to this peculiar undertaking, let us embark upon a spirited exploration that may just leave us with a refreshing taste of insight and the lingering aroma of merriment.

[[RESULTS]]
The results of our analysis revealed a notably robust correlation between the number of breweries in the United States and the popularity of the 'this is fine' meme. The correlation coefficient of 0.9517956 indicated a strong positive relationship, suggesting that as the number of breweries increased, so did the prominence of the meme.
In addition, the r-squared value of 0.9059149 reflected the substantial proportion of variance in the 'this is fine' meme popularity that could be explained by the number of breweries. This result elucidates the extent to which the proliferation of breweries contributes to the buoyancy of the meme within the cultural zeitgeist.
The significance of our findings was further underscored by a p-value of less than 0.01, affirming the statistical strength of the observed correlation. This compelling evidence indicates that the relationship between the two variables is highly unlikely to be attributed to chance alone, warranting more in-depth exploration of potential underlying mechanisms.
Figure 1 displays a visual representation of the strong correlation observed between the number of breweries and the popularity of the 'this is fine' meme. The scatterplot elegantly encapsulates the convergence of these seemingly disparate phenomena, offering a striking portrayal of their intertwined trajectories over the years.
This study's findings not only illuminate the intertwined nature of craft beer culture and internet memes but also underscore the unforeseen connections that underpin societal phenomena. As we raise our metaphorical glasses to toast to these unexpected correlations, may we also savor the subtle flavors of statistical significance and sociocultural intrigue that have emerged from this spirited examination.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our study's findings have shed light on the surprisingly robust correlation between the proliferation of breweries in the United States and the resurgence of the 'this is fine' meme. The strong positive relationship, as indicated by the correlation coefficient of 0.9517956, suggests that the increasing number of breweries is associated with the heightened popularity of the meme. This correlation, akin to a finely crafted ale, offers a delightful blend of statistical robustness and sociocultural whimsy.

The substantial r-squared value of 0.9059149 further underscores the extent to which the variability in the 'this is fine' meme popularity can be attributed to the number of breweries, reminiscent of the nuanced interplay of hops and malts in a well-balanced brew.

The statistically significant p-value of less than 0.01 provides robust evidence of the genuine relationship between these variables, leaving little room for skepticism or uncertainty. Such a compelling statistical validation might even rival the satisfaction of sipping a meticulously crafted pint after a long day of scholarly pursuits.

As we reflect on the unexpected convergence of craft beer culture and internet memes, the quirkiness of our findings invites a chuckle, much like stumbling upon a clever pun in the footnotes of a research paper.

Ultimately, our research not only adds a frothy layer of empirical evidence to the discourse on cultural phenomena but also invites a lighthearted appreciation of the peculiar quirks that define our contemporary societal tapestry. It is a reminder of the delightful surprises that await those who dare to explore the unexpected avenues of inquiry, much like stumbling upon a hidden gem of a brew in an unassuming tavern.

Having tapped into the fascinating intersection of pints and memetic musings, we are compelled to assert that no further research is needed in this area, as we have undoubtedly uncorked the most flavorful insights from this curious concoction of statistical analyses and cultural forays.

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 Crafts on Draft: The State of Brews and Moods in the United States. Respond only with the name of a fictional academic journal.

ChatGPT:

The Fermented Inquiry Quarterly

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 Crafts on Draft: The State of Brews and Moods in the United States. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Suds Studies

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 Crafts on Draft: The State of Brews and Moods in the United States with an abstract of This study delves into the correlation between the proliferation of breweries in the United States and the resurgence of the 'this is fine' meme. Utilizing data from the Brewers Association and Google Trends, we meticulously analyzed the trends from 2006 to 2022. Our findings revealed a striking correlation coefficient of 0.9517956 and a statistically significant p-value of less than 0.01. The results not only highlight the interconnectedness of craft beer culture and internet memes but also provide a whimsical lens through which to view the evolving socio-cultural landscape and its oddball manifestations.

ChatGPT:

craft beer, brewery proliferation, United States, brews and moods, 'this is fine' meme, Brewers Association, Google Trends, correlation analysis, socio-cultural landscape, internet memes, whimsical manifestations

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

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Data details

The number of Breweries in the United States
Detailed data title: Number of Breweries in the United States
Source: Brewers Association
See what else correlates with The number of Breweries in the United States

Popularity of the 'this is fine' meme
Detailed data title: Relative volume of Google searches for 'this is fine' (without quotes, in the United States)
Source: Google Trends
Additional Info: ^{See full details} Relative search volume is a unique Google thing; the shape of the chart is accurate but the actual numbers are meaningless.

See what else correlates with Popularity of the 'this is fine' meme

Correlation r = 0.9517956 (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 = 0.9059149 (Coefficient of determination)
This means 90.6% of the change in the one variable (i.e., Popularity of the 'this is fine' meme) is predictable based on the change in the other (i.e., The number of Breweries in the United States) over the 17 years from 2006 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 4.2E-9.^Show 0.0000000042355089788455925000
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 0.95 in 4.2E-7% of random cases. Said differently, if you correlated 236,099,134 random variables^Note You don't actually need 236 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 16 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 16 because we have two variables measured over a period of 17 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.

[ 0.87, 0.98 ] 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.

	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021	2022
The number of Breweries in the United States (Number of breweries)	1741	1805	1896	1933	2131	2525	2670	3162	4014	4847	5780	6767	7722	8557	9092	9384	9709
Popularity of the 'this is fine' meme (Relative popularity)	5.83333	6.75	6.41667	6.91667	6.83333	7.33333	7.5	7.75	11.6667	26.4167	50.25	52.1667	49.3333	52.25	67.75	46.75	60.1667

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([1741,1805,1896,1933,2131,2525,2670,3162,4014,4847,5780,6767,7722,8557,9092,9384,9709,])
array_2 = np.array([5.83333,6.75,6.41667,6.91667,6.83333,7.33333,7.5,7.75,11.6667,26.4167,50.25,52.1667,49.3333,52.25,67.75,46.75,60.1667,])
array_1_name = "The number of Breweries in the United States"
array_2_name = "Popularity of the 'this is fine' meme"

# 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
Scatterplot
Portable line chart (png)
Portable line chart (png), optimized for mobile
Line chart for only The number of Breweries in the United States
Line chart for only Popularity of the 'this is fine' meme
AI-generated correlation image
The spurious research paper: Crafts on Draft: The State of Brews and Moods in the United States

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Correlation ID: 5119 · Black Variable ID: 34 · Red Variable ID: 25124


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