Spurious correlation #3,210 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Master's degrees awarded in Parks & Recreation and the second variable is Google searches for 'sushi near me'. The chart goes from 2012 to 2021, and the two variables track closely in value over that time.

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Master's degrees awarded in Parks & Recreation and the second variable is Google searches for 'sushi near me'. The chart goes from 2012 to 2021, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As more people obtained Master's degrees in Parks & Recreation, they gained a deeper appreciation for aquatic ecosystems. This led to a rise in the establishment of sushi restaurants, creating a greater availability of sushi options in local areas. After all, who better to understand the optimal conditions for fish and seaweed than these highly educated individuals? It's a classic case of academic success leading to a proliferation of raw fish delight!

^{Show image generation prompt} Model: dalle-3
Prompt: An image that looks like it is a scene from A Disney Movie, in a bustling city, a group of individuals with freshly awarded Master's degrees in Parks & Recreation gather together in a park. They engage in various outdoor activities and discussion, while in the background, a colorful food truck serving sushi attracts their attention. Nearby, onlookers can be seen pulling out their phones and enthusiastically searching for "sushi near me" on Google, inspired by the graduates' interest in cultural experiences. The depiction should include only scenes, people, and objects, it should not include text or speech bubbles.

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

Model: gpt-3.5-turbo-1106
System prompt: You select one of a few potential scene descriptors that seems to go along with the variables described. You respond only with the scene descriptions provided and say nothing else.
User prompt: Here are two variables: Master's degrees awarded in Parks & Recreation and Google searches for 'sushi near me'. Given these, which of the following image style descriptions seems most appropriate? Pick the one that seems to be related to one of the variables at hand. Please respond with only one of the following potential descriptions: Macabre a funny image you would see on reddit a meme Whimsical illustration An image that looks like it is a scene from A Disney Movie
ChatGPT: An image that looks like it is a scene from A Disney Movie

Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both Master's degrees awarded in Parks & Recreation and Google searches for 'sushi near me', in the following situation: As more people obtained Masters in Parks & Recreation, they developed a taste for adventurous pursuits, much like the diverse and exotic flavors found in sushi. This led to an uptick in demand for sushi, resulting in increased Google searches for "sushi near me" as these educated individuals sought out new cultural experiences through food.. Keep the description simple.
ChatGPT: In a bustling city, a group of individuals with freshly awarded Master's degrees in Parks & Recreation gather together in a park. They engage in various outdoor activities and discussion, while in the background, a colorful food truck serving sushi attracts their attention. Nearby, onlookers can be seen pulling out their phones and enthusiastically searching for "sushi near me" on Google, inspired by the graduates' interest in cultural experiences.

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: [ An image that looks like it is a scene from A Disney Movie ] and depicting this scene: In a bustling city, a group of individuals with freshly awarded Master's degrees in Parks & Recreation gather together in a park. They engage in various outdoor activities and discussion, while in the background, a colorful food truck serving sushi attracts their attention. Nearby, onlookers can be seen pulling out their phones and enthusiastically searching for "sushi near me" on Google, inspired by the graduates' interest in cultural experiences. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: An image that looks like it is a scene from A Disney Movie, in a bustling city, a group of individuals with freshly awarded Master's degrees in Parks & Recreation gather together in a park. They engage in various outdoor activities and discussion, while in the background, a colorful food truck serving sushi attracts their attention. Nearby, onlookers can be seen pulling out their phones and enthusiastically searching for "sushi near me" on Google, inspired by the graduates' interest in cultural experiences.

*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 Master's degrees awarded in Parks & Recreation caused sushi near me (Google searches for 'sushi near me') to increase.

AI academic paper

(Because p < 0.01)

Masters of Parks, Searching for Narks: The Sushi Near Me Larks

Journal of Culinary Cartography

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 Master's degrees awarded in Parks & Recreation and Google searches for 'sushi near me'. 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 cite some social media posts you read that seem to be related.

Here is the title and abstract of the paper:
[[TITLE]]
Masters of Parks, Searching for Narks: The Sushi Near Me Larks

[[ABSTRACT]]
This paper delves into the ostensibly unrelated but surprisingly interconnected worlds of Parks & Recreation and sushi cravings. Utilizing data from the National Center for Education Statistics and Google Trends, our research investigates the relationship between the number of Master's degrees awarded in Parks & Recreation and the frequency of Google searches for 'sushi near me'. Intriguingly, our analysis reveals a high correlation coefficient of 0.9763469 and statistically significant p-value of less than 0.01 for the period spanning 2012 to 2021. The implications of this correlation are both far-reaching and, dare we say, a bit fishy. We endeavor to untangle the knotty implications of this unexpected link, shedding light on the curious behavior of sushi-seeking park enthusiasts. So, join us on this scholarly stroll through the park, as we unearth the mysteries of academic pursuits and culinary cravings.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The pursuit of knowledge and the pursuit of delectable cuisine may seem to tread disparate paths. However, as history has delightfully demonstrated, unexpected connections often emerge to tantalize the palate of intellectual curiosity. In this paper, we seek to unfurl the tapestry of correlation between the confounding realms of Parks & Recreation and the allure of sushi, particularly the ubiquitous quest for 'sushi near me' that has become intertwined with the modern experience of satiating culinary desires.
It is a tale of ambitious scholars and discerning consumers, with parallel narratives intersecting in an unexpected harmony. As we meander through the hallowed halls of academic inquiry and the digital highways of gastronomic exploration, we cannot help but ponder the curious juxtaposition of the pursuit of higher education in Parks & Recreation and the salivating pursuit of savory morsels from the sea.
The National Center for Education Statistics provides a bountiful harvest of data on the awarding of Master's degrees, while Google Trends offers an abundance of insight into the ebb and flow of sushi-scented search inquiries. Our endeavor is to decipher the dance of correlation woven between these seemingly disparate phenomena, shedding light on the enigmatic synchrony of scholarly aspirations and gastronomic cravings.
In this scholarly escapade, we aim to explore the complex interplay of motivations and proclivities that underlie the statistical relationship between the two domains, unveiling a tapestry of human behavior that is both scholarly and succulent. We invite the reader to indulge in the savory banquet of knowledge we have prepared as we embark upon this whimsical voyage through the intertwining worlds of intellectual pursuit and epicurean delights.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

The nexus of scholarship and gustatory inclinations is a topic that has garnered increasing interest in recent years. Smith et al. (2018) conducted a comprehensive study on the trends in Master's degrees awarded in the field of Parks & Recreation, uncovering an upward trajectory in academic pursuits related to leisure management and outdoor activities. Meanwhile, Doe and Jones (2019) delved into the fascinating realm of Google search behavior, offering insights into the proclivities of internet users in their quest for culinary delights.

This seemingly unrelated pairing of academic endeavors and culinary quests offers a curious juxtaposition, and yet, as the authors find, an intriguing correlation emerges upon closer scrutiny. The literary landscape holds a myriad of works that, while not directly addressing the specific relationship between Master's degrees in Parks & Recreation and 'sushi near me' searches, still provide valuable insights into the intricate tapestry of human behavior, academic pursuits, and culinary cravings.

Books such as "The Pleasure of Finding Things Out" by Richard P. Feynman and "The Omnivore's Dilemma" by Michael Pollan offer nuanced perspectives on the pursuit of knowledge and the allure of gastronomic exploration. On the fictional front, works such as "The Park of Lost Wonders" by Helene Wecker and "Sushi for Beginners" by Marian Keyes present whimsical narratives that, while not grounded in empirical research, capture the essence of human desires and intellectual wanderings.

Additionally, informal sources such as social media posts have provided anecdotal evidence of the intersection between academic pursuits and cravings for sushi. A tweet from a user going by the handle @RecreationConnoisseur states, "Nothing like a stimulating lecture on urban park planning followed by a search for the best sushi joint in town! #BrainsAndBites #ScholarlyCravings". While not a scholarly source per se, such social media musings offer a lighthearted insight into the potential overlap between intellectual fulfillment and culinary yearnings.

Despite the ostensibly serious nature of scholarly pursuits and statistical analyses, the interplay of Master's degrees in Parks & Recreation and the quest for 'sushi near me' shimmers with an unexpected whimsy that demands further exploration. As we embark on this intellectual odyssey, let us not forget to bring along a healthy appetite for both knowledge and flavorful delicacies.

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 Master's degrees awarded in Parks & Recreation and Google searches for 'sushi near me'. 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 National Center for Education Statistics and Google Trends . You used data from 2012 to 2021

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

Here is the title, abstract, and introduction of the paper:
[[TITLE]]
Masters of Parks, Searching for Narks: The Sushi Near Me Larks

[[ABSTRACT]]
This paper delves into the ostensibly unrelated but surprisingly interconnected worlds of Parks & Recreation and sushi cravings. Utilizing data from the National Center for Education Statistics and Google Trends, our research investigates the relationship between the number of Master's degrees awarded in Parks & Recreation and the frequency of Google searches for 'sushi near me'. Intriguingly, our analysis reveals a high correlation coefficient of 0.9763469 and statistically significant p-value of less than 0.01 for the period spanning 2012 to 2021. The implications of this correlation are both far-reaching and, dare we say, a bit fishy. We endeavor to untangle the knotty implications of this unexpected link, shedding light on the curious behavior of sushi-seeking park enthusiasts. So, join us on this scholarly stroll through the park, as we unearth the mysteries of academic pursuits and culinary cravings.

[[INTRODUCTION]]
The pursuit of knowledge and the pursuit of delectable cuisine may seem to tread disparate paths. However, as history has delightfully demonstrated, unexpected connections often emerge to tantalize the palate of intellectual curiosity. In this paper, we seek to unfurl the tapestry of correlation between the confounding realms of Parks & Recreation and the allure of sushi, particularly the ubiquitous quest for 'sushi near me' that has become intertwined with the modern experience of satiating culinary desires.
It is a tale of ambitious scholars and discerning consumers, with parallel narratives intersecting in an unexpected harmony. As we meander through the hallowed halls of academic inquiry and the digital highways of gastronomic exploration, we cannot help but ponder the curious juxtaposition of the pursuit of higher education in Parks & Recreation and the salivating pursuit of savory morsels from the sea.
The National Center for Education Statistics provides a bountiful harvest of data on the awarding of Master's degrees, while Google Trends offers an abundance of insight into the ebb and flow of sushi-scented search inquiries. Our endeavor is to decipher the dance of correlation woven between these seemingly disparate phenomena, shedding light on the enigmatic synchrony of scholarly aspirations and gastronomic cravings.
In this scholarly escapade, we aim to explore the complex interplay of motivations and proclivities that underlie the statistical relationship between the two domains, unveiling a tapestry of human behavior that is both scholarly and succulent. We invite the reader to indulge in the savory banquet of knowledge we have prepared as we embark upon this whimsical voyage through the intertwining worlds of intellectual pursuit and epicurean delights.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

Data Collection:

The first step in our quest to unravel the peculiar association between Master's degrees in Parks & Recreation and the pursuit of 'sushi near me' was the compendious collection of data. Our research team cast a wide net across the digital seas, trawling for relevant information from the National Center for Education Statistics and Google Trends. The period under scrutiny spanned from 2012 to 2021, a veritable decade of academic and culinary ferment.

The National Center for Education Statistics furnished us with an expansive harvest of data pertaining to the conferral of Master's degrees in the field of Parks & Recreation. These bountiful statistics allowed us to discern trends and fluctuations in academic pursuits within this domain, providing the raw material for our subsequent analyses. Meanwhile, the fertile grounds of Google Trends yielded an abundance of data on the frequency and fervor of searches for 'sushi near me', painting a vivid portrait of the ebb and flow of societal cravings for this delectable form of sustenance.

Data Analysis:

With an arsenal of data at our disposal, we embarked upon the formidable task of analysis. To establish the correlation between the number of Master's degrees in Parks & Recreation and the Google searches for 'sushi near me', we employed a series of statistical measures that would unveil the hidden contours of this enigmatic relationship.

First, we calculated the correlation coefficient, that numerical sleuth that divulges the strength and direction of the association between two variables. Lo and behold, the resultant coefficient stood at a formidable 0.9763469, hinting at a remarkably robust relationship between the two seemingly incongruous domains. To add to the intrigue, the p-value emerged from the statistical cauldron with a significance level of less than 0.01, casting a compelling spell that underscored the substantive nature of the interconnectedness we sought to unravel.

To ensure the veracity of our findings, we also subjected the data to multivariate regression analysis, teasing out the confounding variables that may have sought to confound our scholarly pursuits. The results of this analysis resonated with the overarching narrative that had begun to emerge, reinforcing the notion of a compelling connection between the academic accolades in Parks & Recreation and the ever-enticing aroma of 'sushi near me' that beckons from the digital ether.

In summary, our methodological odyssey traversed the digital expanse, navigating a sea of data to ferret out the hidden interplay between scholarly endeavors in the parks and recreation realm and the magnetic allure of sushi-seeking expeditions. With statistical rigor as our compass and curiosity as our mast, we have endeavored to illuminate the dimensions of this unexpected linkage, yielding findings that are as captivating as they are, dare we say, a tad fishy.

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 Master's degrees awarded in Parks & Recreation and Google searches for 'sushi near me'. 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]]
Masters of Parks, Searching for Narks: The Sushi Near Me Larks

[[ABSTRACT]]
This paper delves into the ostensibly unrelated but surprisingly interconnected worlds of Parks & Recreation and sushi cravings. Utilizing data from the National Center for Education Statistics and Google Trends, our research investigates the relationship between the number of Master's degrees awarded in Parks & Recreation and the frequency of Google searches for 'sushi near me'. Intriguingly, our analysis reveals a high correlation coefficient of 0.9763469 and statistically significant p-value of less than 0.01 for the period spanning 2012 to 2021. The implications of this correlation are both far-reaching and, dare we say, a bit fishy. We endeavor to untangle the knotty implications of this unexpected link, shedding light on the curious behavior of sushi-seeking park enthusiasts. So, join us on this scholarly stroll through the park, as we unearth the mysteries of academic pursuits and culinary cravings.

[[LITERATURE REVIEW]]
The nexus of scholarship and gustatory inclinations is a topic that has garnered increasing interest in recent years. Smith et al. (2018) conducted a comprehensive study on the trends in Master's degrees awarded in the field of Parks & Recreation, uncovering an upward trajectory in academic pursuits related to leisure management and outdoor activities. Meanwhile, Doe and Jones (2019) delved into the fascinating realm of Google search behavior, offering insights into the proclivities of internet users in their quest for culinary delights.
This seemingly unrelated pairing of academic endeavors and culinary quests offers a curious juxtaposition, and yet, as the authors find, an intriguing correlation emerges upon closer scrutiny. The literary landscape holds a myriad of works that, while not directly addressing the specific relationship between Master's degrees in Parks & Recreation and 'sushi near me' searches, still provide valuable insights into the intricate tapestry of human behavior, academic pursuits, and culinary cravings.
Books such as "The Pleasure of Finding Things Out" by Richard P. Feynman and "The Omnivore's Dilemma" by Michael Pollan offer nuanced perspectives on the pursuit of knowledge and the allure of gastronomic exploration. On the fictional front, works such as "The Park of Lost Wonders" by Helene Wecker and "Sushi for Beginners" by Marian Keyes present whimsical narratives that, while not grounded in empirical research, capture the essence of human desires and intellectual wanderings.
Additionally, informal sources such as social media posts have provided anecdotal evidence of the intersection between academic pursuits and cravings for sushi. A tweet from a user going by the handle @RecreationConnoisseur states, "Nothing like a stimulating lecture on urban park planning followed by a search for the best sushi joint in town! #BrainsAndBites #ScholarlyCravings". While not a scholarly source per se, such social media musings offer a lighthearted insight into the potential overlap between intellectual fulfillment and culinary yearnings.
Despite the ostensibly serious nature of scholarly pursuits and statistical analyses, the interplay of Master's degrees in Parks & Recreation and the quest for 'sushi near me' shimmers with an unexpected whimsy that demands further exploration. As we embark on this intellectual odyssey, let us not forget to bring along a healthy appetite for both knowledge and flavorful delicacies.

[[RESULTS]]
The statistical analysis of the relationship between the number of Master's degrees awarded in Parks & Recreation and the frequency of Google searches for 'sushi near me' yielded intriguing findings. Over the period from 2012 to 2021, a remarkably high correlation coefficient of 0.9763469 was observed, indicating a strong positive linear relationship between the two variables. This robust correlation was complemented by an r-squared value of 0.9532532, signifying that approximately 95.3% of the variation in sushi-related search frequency can be explained by the number of Master's degrees awarded in Parks & Recreation. Additionally, the p-value of less than 0.01 underscores the statistical significance of this association.
As presented in Figure 1, the scatterplot visually illustrates the conspicuous positive correlation between the two variables, affirming the quantitative evidence of their unexpected interconnection. The data points coalesce in a trend that traverses the graph with the harmony of a well-composed symphony, revealing a synchronicity that beckons further contemplation.
The implications of these findings may spark a reevaluation of the conventional boundaries of academic disciplines and culinary predilections. The unanticipated alignment between scholarly pursuits in Parks & Recreation and the quest for sushi reflects the ceaseless interplay of human interests, bringing to mind the whimsical notion of scholarly saunterers pausing for a sushi snack amid their verdant explorations.
These unanticipated results prompt reflection not only on the statistical associations uncovered but also on the broader implications for understanding the complex tapestry of human behavior. The intertwining of educational endeavors and culinary yearnings leads us to muse upon the multifaceted motivations and aspirations that underpin such seemingly disparate pursuits. The scholarly and gustatory dimensions of human experience converge in this unexpected correlation, giving rise to a tantalizing avenue for further inquiry and intellectual mastication.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The results of our investigation into the relationship between the number of Master's degrees awarded in Parks & Recreation and the frequency of Google searches for 'sushi near me' provide compelling evidence of a surprisingly robust correlation. Building upon the earlier work of Smith et al. (2018) and Doe and Jones (2019), our findings confirm a high degree of association between academic pursuits in leisure management and the culinary quest for sushi delights, lending credence to the whimsical musings unearthed in the literature review.

It is remarkable to note how this seemingly disparate pairing of scholarly pursuits and culinary cravings has yielded such a strong statistical relationship. The literature review hinted at the potential interplay between academic pursuits and gastronomic yearnings, and our results vividly underscore the intriguing correlation between these domains. While one might expect the pursuit of a Master's degree in Parks & Recreation to be more closely associated with nature-themed searches or outdoor activities, the conspicuous alignment with sushi-related queries adds a delightful twist to the scholarly landscape.

The statistically significant correlation coefficient of 0.9763469 and the substantial explanatory power represented by the r-squared value of 0.9532532 portray a compelling picture of the interwoven nature of these seemingly incongruous elements. The overwhelmingly high proportion of the variation in sushi-related search frequency explained by the number of Master's degrees awarded in Parks & Recreation is a testament to the unexpected resonance between academic and culinary interests.

The unexpected coupling of academic pursuits and culinary yearnings unearthed in our study invites a deeper contemplation of the multifaceted motivations and inclinations that underpin human behavior. Perhaps the park-centric academic environment fosters a sustained appetite for culinary exploration, or perhaps the intellectual stimulation of leisure management studies triggers a craving for the culinary delights of sushi. These speculative reflections speak to the tantalizing avenues for further inquiry that our findings have illuminated.

In conclusion, our research shines a spotlight on the curious convergence of scholarly pursuits and culinary curiosities, unveiling an unexpected harmony that beckons further exploration. The interplay of Master's degrees in Parks & Recreation and the quest for 'sushi near me' serves as a testament to the unexpected whimsy that pervades the scholarly landscape, inviting scholars and sushi enthusiasts alike to partake in the delightful larks of intellectual and gustatory pursuits.

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 Master's degrees awarded in Parks & Recreation and Google searches for 'sushi near me'. 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]]
Masters of Parks, Searching for Narks: The Sushi Near Me Larks

[[ABSTRACT]]
This paper delves into the ostensibly unrelated but surprisingly interconnected worlds of Parks & Recreation and sushi cravings. Utilizing data from the National Center for Education Statistics and Google Trends, our research investigates the relationship between the number of Master's degrees awarded in Parks & Recreation and the frequency of Google searches for 'sushi near me'. Intriguingly, our analysis reveals a high correlation coefficient of 0.9763469 and statistically significant p-value of less than 0.01 for the period spanning 2012 to 2021. The implications of this correlation are both far-reaching and, dare we say, a bit fishy. We endeavor to untangle the knotty implications of this unexpected link, shedding light on the curious behavior of sushi-seeking park enthusiasts. So, join us on this scholarly stroll through the park, as we unearth the mysteries of academic pursuits and culinary cravings.

[[INTRDUCTION]]
The pursuit of knowledge and the pursuit of delectable cuisine may seem to tread disparate paths. However, as history has delightfully demonstrated, unexpected connections often emerge to tantalize the palate of intellectual curiosity. In this paper, we seek to unfurl the tapestry of correlation between the confounding realms of Parks & Recreation and the allure of sushi, particularly the ubiquitous quest for 'sushi near me' that has become intertwined with the modern experience of satiating culinary desires.
It is a tale of ambitious scholars and discerning consumers, with parallel narratives intersecting in an unexpected harmony. As we meander through the hallowed halls of academic inquiry and the digital highways of gastronomic exploration, we cannot help but ponder the curious juxtaposition of the pursuit of higher education in Parks & Recreation and the salivating pursuit of savory morsels from the sea.
The National Center for Education Statistics provides a bountiful harvest of data on the awarding of Master's degrees, while Google Trends offers an abundance of insight into the ebb and flow of sushi-scented search inquiries. Our endeavor is to decipher the dance of correlation woven between these seemingly disparate phenomena, shedding light on the enigmatic synchrony of scholarly aspirations and gastronomic cravings.
In this scholarly escapade, we aim to explore the complex interplay of motivations and proclivities that underlie the statistical relationship between the two domains, unveiling a tapestry of human behavior that is both scholarly and succulent. We invite the reader to indulge in the savory banquet of knowledge we have prepared as we embark upon this whimsical voyage through the intertwining worlds of intellectual pursuit and epicurean delights.

[[RESULTS]]
The statistical analysis of the relationship between the number of Master's degrees awarded in Parks & Recreation and the frequency of Google searches for 'sushi near me' yielded intriguing findings. Over the period from 2012 to 2021, a remarkably high correlation coefficient of 0.9763469 was observed, indicating a strong positive linear relationship between the two variables. This robust correlation was complemented by an r-squared value of 0.9532532, signifying that approximately 95.3% of the variation in sushi-related search frequency can be explained by the number of Master's degrees awarded in Parks & Recreation. Additionally, the p-value of less than 0.01 underscores the statistical significance of this association.
As presented in Figure 1, the scatterplot visually illustrates the conspicuous positive correlation between the two variables, affirming the quantitative evidence of their unexpected interconnection. The data points coalesce in a trend that traverses the graph with the harmony of a well-composed symphony, revealing a synchronicity that beckons further contemplation.
The implications of these findings may spark a reevaluation of the conventional boundaries of academic disciplines and culinary predilections. The unanticipated alignment between scholarly pursuits in Parks & Recreation and the quest for sushi reflects the ceaseless interplay of human interests, bringing to mind the whimsical notion of scholarly saunterers pausing for a sushi snack amid their verdant explorations.
These unanticipated results prompt reflection not only on the statistical associations uncovered but also on the broader implications for understanding the complex tapestry of human behavior. The intertwining of educational endeavors and culinary yearnings leads us to muse upon the multifaceted motivations and aspirations that underpin such seemingly disparate pursuits. The scholarly and gustatory dimensions of human experience converge in this unexpected correlation, giving rise to a tantalizing avenue for further inquiry and intellectual mastication.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

The confluence of scholarly pursuits in Parks & Recreation and the siren call of sushi, as evidenced by the robust correlation uncovered in this investigation, presents a veritable feast for contemplation. Our analysis has endeavored to navigate the labyrinthine pathways of statistical association, bringing to light a savory symmetry between academic achievements and culinary cravings.

The statistically significant relationship between Master's degrees awarded in Parks & Recreation and Google searches for 'sushi near me' suggests a fusion of intellectual aspiration and gastronomic gratification that merits further exploration. One cannot help but entertain the whimsical image of intrepid scholars embarking on a quest for knowledge amid the verdant splendor of parklands, pausing to sate their appetite for seafood delicacies. This unexpected interplay of educational pursuits and culinary escapades invites a delectable discourse on the quirky dimensions of human behavior.

As we conclude this scholarly sojourn, we are reminded of the words of the venerable bard, Shakespeare, who mused, "All the world's a stage, and all the men and women merely players." Indeed, the stage on which the human comedy unfolds is embellished with a tapestry of academic pursuits and culinary curiosities, weaving a narrative that is both erudite and epicurean.

In light of the compelling correlation elucidated by this research, we assert that further investigations into the interwoven realms of academic pursuits and gastronomic inclinations are not required. The evidence presented herein suggests that the association between Master's degrees in Parks & Recreation and the quest for 'sushi near me' transcends the need for additional scrutiny. It is a correlation that tantalizes the intellect and tempts the palate, leaving us with a deliciously complex conundrum to savor.

Thus, we bid adieu to this inquiry, leaving the continued exploration of this delectable enigma to future gastronomically-inclined scholars.

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 Masters of Parks, Searching for Narks: The Sushi Near Me Larks. Respond only with the name of a fictional academic journal.

ChatGPT:

Journal of Culinary Cartography

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 Masters of Parks, Searching for Narks: The Sushi Near Me Larks. Respond only with the name of a fictional organization.

ChatGPT:

The Society for the Investigation of Culinary Anomalies

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 Masters of Parks, Searching for Narks: The Sushi Near Me Larks with an abstract of This paper delves into the ostensibly unrelated but surprisingly interconnected worlds of Parks & Recreation and sushi cravings. Utilizing data from the National Center for Education Statistics and Google Trends, our research investigates the relationship between the number of Master's degrees awarded in Parks & Recreation and the frequency of Google searches for 'sushi near me'. Intriguingly, our analysis reveals a high correlation coefficient of 0.9763469 and statistically significant p-value of less than 0.01 for the period spanning 2012 to 2021. The implications of this correlation are both far-reaching and, dare we say, a bit fishy. We endeavor to untangle the knotty implications of this unexpected link, shedding light on the curious behavior of sushi-seeking park enthusiasts. So, join us on this scholarly stroll through the park, as we unearth the mysteries of academic pursuits and culinary cravings.

ChatGPT:

Parks & Recreation, Master's degrees, National Center for Education Statistics, Google Trends, sushi craving, 'sushi near me' searches, correlation coefficient, statistically significant, 2012-2021, academic pursuits, culinary cravings

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

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Data details

Master's degrees awarded in Parks & Recreation
Detailed data title: Master's degrees conferred by postsecondary institutions in Parks, recreation, leisure, fitness, and kinesiology
Source: National Center for Education Statistics
See what else correlates with Master's degrees awarded in Parks & Recreation

Google searches for 'sushi near me'
Detailed data title: Relative volume of Google searches for 'sushi near me' (Worldwide, without quotes)
Source: Google Trends
Additional Info: ^{See full details} Relative search volume (not absolute numbers)

See what else correlates with Google searches for 'sushi near me'

Correlation r = 0.9763469 (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 = 0.9532532 (Coefficient of determination)
This means 95.3% of the change in the one variable (i.e., Google searches for 'sushi near me') is predictable based on the change in the other (i.e., Master's degrees awarded in Parks & Recreation) over the 10 years from 2012 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.3E-6.^Show 0.0000013309229054371923000000
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 0.98 in 0.00013% of random cases. Said differently, if you correlated 751,358 random variables^Note You don't actually need 751 thousand 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 9 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 9 because we have two variables measured over a period of 10 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.

[ 0.9, 0.99 ] 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.

	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021
Master's degrees awarded in Parks & Recreation (Degrees awarded)	7047	7139	7609	7654	8268	8651	9010	8963	9108	9880
Google searches for 'sushi near me' (Rel. search volume)	1.125	2.5	4.66667	10.9167	23.9167	38.9167	49.8333	62.1667	65.5	84.25

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.
Y-axis doesn't start at zero: I truncated the Y-axes of the graph above. I also used a line graph, which makes the visual connection stand out more than it deserves. ^Note Nothing against line graphs. They are great at telling a story when you have linear data! But visually it is deceptive because the only data is at the points on the graph, not the lines on the graph. In between each point, the data could have been doing anything. Like going for a random walk by itself!
Mathematically what I showed is true, but it is intentionally misleading. Below is the same chart but with both Y-axes starting at zero.

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([7047,7139,7609,7654,8268,8651,9010,8963,9108,9880,])
array_2 = np.array([1.125,2.5,4.66667,10.9167,23.9167,38.9167,49.8333,62.1667,65.5,84.25,])
array_1_name = "Master's degrees awarded in Parks & Recreation"
array_2_name = "Google searches for 'sushi near me'"

# 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 Master's degrees awarded in Parks & Recreation
Line chart for only Google searches for 'sushi near me'
AI-generated correlation image
The spurious research paper: Masters of Parks, Searching for Narks: The Sushi Near Me Larks

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Correlation ID: 3210 · Black Variable ID: 1333 · Red Variable ID: 1534


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