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Spurious correlation #2,116 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Air pollution in Middlesborough, Kentucky and the second variable is Google searches for 'avocado toast'.  The chart goes from 2008 to 2016, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

The smog in Middlesborough, Kentucky was so thick that it actually contained traces of trendy-ness, propelling locals to hop on the avocado toast bandwagon. Who knew that pollution could be so en-vogue?

Model: dalle-3
Prompt: Create an image that represents a Polaroid photo capturing the scene in Middlesborough, Kentucky, where the air is hazy with pollutants. Show people using their smartphones to look up "avocado toast" recipes, as they attempt to embrace healthy and trendy breakfast choices despite the challenges posed by the poor air quality. The visual should emphasize the contrast between the serene, vintage aesthetic of the Polaroid frame and the modern, technology-driven activity of the people searching for recipes. The image's composition should convey a sense of resilience and adaptation in the face of difficult environmental circumstances. 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: Poor air quality in Middlesborough, Kentucky and Google searches for 'avocado toast'. 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: Steampunk a Polaroid photo Cutsy graphics Sci-fi fantacy Cyber folk
ChatGPT: a Polaroid photo

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 Poor air quality in Middlesborough, Kentucky and Google searches for 'avocado toast' together. Keep the description simple.
ChatGPT: In Middlesborough, Kentucky, the air is hazy and filled with pollutants. People in the area are searching on their smartphones for "avocado toast" recipes as they try to find ways to still enjoy a healthy and trendy breakfast despite the poor air quality.

Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ a Polaroid photo ] and depicting this scene: In Middlesborough, Kentucky, the air is hazy and filled with pollutants. People in the area are searching on their smartphones for "avocado toast" recipes as they try to find ways to still enjoy a healthy and trendy breakfast despite the poor air quality. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Create an image that represents a Polaroid photo capturing the scene in Middlesborough, Kentucky, where the air is hazy with pollutants. Show people using their smartphones to look up "avocado toast" recipes, as they attempt to embrace healthy and trendy breakfast choices despite the challenges posed by the poor air quality. The visual should emphasize the contrast between the serene, vintage aesthetic of the Polaroid frame and the modern, technology-driven activity of the people searching for recipes. The image's composition should convey a sense of resilience and adaptation in the face of difficult environmental circumstances.

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

I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.

Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in Air pollution in Middlesborough, Kentucky caused avocado toast (Google searches for 'avocado toast') to increase. Add a funny one-liner at the end.

AI academic paper

(Because p < 0.01)
The Avo-Link Show: How Air Pollution in Middlesborough, Kentucky, Affects Avocado Toast Cravings

The Journal of Culinary Climate Studies

Jan 2024

Reminder: This paper is AI-generated. Not real!
Quick note: This sequence is long and repetitive. That's how the prompt engineering works for this one. I manage the output in Python to format it into this PDF.




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

Please draft the title and abstract of an academic research paper presenting the findings of the connection between Air pollution in Middlesborough, Kentucky and Google searches for 'avocado toast'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Rhyme words in the title.

Your research team used data from Environmental Protection Agency and Google Trends to assess this nagging question. You found a correlation coefficient of 0.8784683 and p < 0.01 for 2008 to 2016.

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

[[TITLE]]
Lorem ipsum dolor sit

[[ABSTRACT]]
Lorem ipsum dolor sit



ChatGPT:
[[TITLE]]
The Avo-Link Show: How Air Pollution in Middlesborough, Kentucky, Affects Avocado Toast Cravings

[[ABSTRACT]]
This study delves into the unexpected relationship between air pollution in Middlesborough, Kentucky, and Google searches for 'avocado toast.' Utilizing data from the Environmental Protection Agency and Google Trends, we set out to tackle this seemingly frivolous yet intriguing connection. Our findings reveal a notable correlation coefficient of 0.8784683 and a statistically significant p-value of < 0.01 for the years 2008 to 2016, suggesting that there is indeed a link between air quality and the desire for this trendy, smashed green fruit spread on toast. Through our analysis, we hope to shed light on the quirky interplay between environmental factors and food fads, and spur future research on the whimsical dance of consumer behavior and local air conditions.


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

Please make up the introduction section of an academic research paper presenting the findings of the connection between Air pollution in Middlesborough, Kentucky and Google searches for 'avocado toast'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Here is the title and abstract of the paper:
[[TITLE]]
The Avo-Link Show: How Air Pollution in Middlesborough, Kentucky, Affects Avocado Toast Cravings

[[ABSTRACT]]
This study delves into the unexpected relationship between air pollution in Middlesborough, Kentucky, and Google searches for 'avocado toast.' Utilizing data from the Environmental Protection Agency and Google Trends, we set out to tackle this seemingly frivolous yet intriguing connection. Our findings reveal a notable correlation coefficient of 0.8784683 and a statistically significant p-value of < 0.01 for the years 2008 to 2016, suggesting that there is indeed a link between air quality and the desire for this trendy, smashed green fruit spread on toast. Through our analysis, we hope to shed light on the quirky interplay between environmental factors and food fads, and spur future research on the whimsical dance of consumer behavior and local air conditions.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

The Avo-Link Show: How Air Pollution in Middlesborough, Kentucky, Affects Avocado Toast Cravings is a tongue-in-cheek exploration of the unexpected and inexplicable relationship between air pollution and the search interest in everyone's favorite trendy brunch item. As the world becomes increasingly conscious of the effects of air pollution on health and wellbeing, it is only natural to extend this concern to the realm of food cravings. With the rise of avocado toast as a symbol of millennial culinary culture and the omnipresence of air pollution in Middlesborough, Kentucky, one cannot help but wonder if there's a deeper connection waiting to be uncovered.

At first glance, the notion of examining the correlation between air pollution levels and Google searches for avocado toast may seem as unconventional as putting avocado on bread, but the curious minds of researchers are always chasing the next revelation, no matter how surprising or trivial it may seem. As we embark on this scholarly journey, we are both amused and intrigued by the sheer audacity of such an investigation, and we hope to offer a side of humor alongside the gravitas of our statistical analysis.

Our findings promise to take the reader on a delightful and unexpected ride through the whimsical crossroads of environmental factors and culinary trends. But, as they say, the proof is in the pudding – or in this case, the avocado toast. We invite you to join us as we peel back the layers of this lighthearted yet thought-provoking study, and perhaps enjoy a serving of avocado toast while contemplating the enigmatic dance of consumer behavior and local air conditions.


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

Please make up a literature review section of an academic research paper presenting the findings of the connection between Air pollution in Middlesborough, Kentucky and Google searches for 'avocado toast'. 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 a couple popular internet memes that are related to one of the topics.

Here is the title and abstract of the paper:
[[TITLE]]
The Avo-Link Show: How Air Pollution in Middlesborough, Kentucky, Affects Avocado Toast Cravings

[[ABSTRACT]]
This study delves into the unexpected relationship between air pollution in Middlesborough, Kentucky, and Google searches for 'avocado toast.' Utilizing data from the Environmental Protection Agency and Google Trends, we set out to tackle this seemingly frivolous yet intriguing connection. Our findings reveal a notable correlation coefficient of 0.8784683 and a statistically significant p-value of < 0.01 for the years 2008 to 2016, suggesting that there is indeed a link between air quality and the desire for this trendy, smashed green fruit spread on toast. Through our analysis, we hope to shed light on the quirky interplay between environmental factors and food fads, and spur future research on the whimsical dance of consumer behavior and local air conditions.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The Avo-Link Show: How Air Pollution in Middlesborough, Kentucky, Affects Avocado Toast Cravings is a tongue-in-cheek exploration of the unexpected and inexplicable relationship between air pollution and the search interest in everyone's favorite trendy brunch item. As the world becomes increasingly conscious of the effects of air pollution on health and wellbeing, it is only natural to extend this concern to the realm of food cravings. With the rise of avocado toast as a symbol of millennial culinary culture and the omnipresence of air pollution in Middlesborough, Kentucky, one cannot help but wonder if there's a deeper connection waiting to be uncovered.
At first glance, the notion of examining the correlation between air pollution levels and Google searches for avocado toast may seem as unconventional as putting avocado on bread, but the curious minds of researchers are always chasing the next revelation, no matter how surprising or trivial it may seem. As we embark on this scholarly journey, we are both amused and intrigued by the sheer audacity of such an investigation, and we hope to offer a side of humor alongside the gravitas of our statistical analysis.
Our findings promise to take the reader on a delightful and unexpected ride through the whimsical crossroads of environmental factors and culinary trends. But, as they say, the proof is in the pudding – or in this case, the avocado toast. We invite you to join us as we peel back the layers of this lighthearted yet thought-provoking study, and perhaps enjoy a serving of avocado toast while contemplating the enigmatic dance of consumer behavior and local air conditions.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The authors find that the relationship between air pollution and dietary preferences is a relatively unexplored area of research. In "Smith et al.," the authors delve into the lesser-known effects of air pollution on consumer behavior, bringing to light the possibility of a connection between environmental factors and food choices. However, while the study offers valuable insights, it fails to address the specific gastronomic nuances inherent in the phenomenon of avocado toast cravings.

Doe and Jones, in their seminal work "Air Quality and Consumer Culture," introduce the idea of a subtle but tangible influence of environmental conditions on culinary predilections. They propose that local air quality may have a significant impact on the search interests of certain food items, an assertion that brings to mind the ever-ambiguous allure of the avocado toast phenomenon. However, their investigation does not explicitly explore the relationship between air pollution in Middlesborough, Kentucky, and the digital quest for creamy, green-tinted breakfast delights.

Turning to broader studies in trends and consumer behavior, "Economic Implications of Culinary Fads" by Adams and Brown offers a comprehensive review of the multifaceted factors contributing to the rise and fall of food trends in contemporary society. While the text does not specifically address the influence of environmental variables on dietary fashions, it sets the stage for considering the interplay of external factors in shaping the public's culinary proclivities.

In the realm of related non-fiction literature, "The Big Smoke: Air Pollution and Its Effects" by White and "The Avocado Bible" by Green provide invaluable contextual information for understanding the intersection of air quality and culinary preferences. The former sheds light on the diverse and often surprising consequences of air pollution, while the latter offers a lusciously written account of the avocado's journey from obscurity to prominence in the gastronomic world, serving as a tantalizing backdrop for our investigation.

Adding a fictional twist to our literary foray, "Smog over Middlesborough" by Rivers and "The Toast Diaries" by Baker offer imaginative narratives that, while not directly related to air pollution and avocado toast, infuse elements of whimsical intrigue into the tapestry of our exploration. As we wade through the amalgam of scholarly and fictional realms, it becomes evident that the quirky connection between air pollution and culinary curiosities is ripe for further examination.

Furthermore, the internet phenomenon surrounding avocado toast, replete with memes depicting the indomitable power of this trendy dish and its cultural connotations, serves as a lighthearted yet pertinent backdrop for our investigation. Memes such as "Avocado Toast: A Millennial Love Story" and "Air Pollution Map vs. Avocado Toast Sales: A Tale of Two Worlds" emphasize the peculiar juxtaposition of environmental concerns and culinary cravings, providing a delightful respite from the rigors of scholarly inquiry.

In synthesizing the literature, it is apparent that while the correlation between air pollution in Middlesborough, Kentucky, and Google searches for avocado toast may seem frivolous at first glance, the social, environmental, and cultural threads that intertwine in this quirky confluence merit further exploration. The blend of serious scholarship, playful fiction, and internet whimsy forms a rich tapestry that lays the groundwork for our investigation into the Avo-Link Show, promising a delightful journey into the unexpected crossroads of air pollution and avocado toast cravings.


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

Please make up the methodology section of an academic research paper presenting the findings of the connection between Air pollution in Middlesborough, Kentucky and Google searches for 'avocado toast'. 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 Environmental Protection Agency and Google Trends . You used data from 2008 to 2016

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

Here is the title, abstract, and introduction of the paper:
[[TITLE]]
The Avo-Link Show: How Air Pollution in Middlesborough, Kentucky, Affects Avocado Toast Cravings

[[ABSTRACT]]
This study delves into the unexpected relationship between air pollution in Middlesborough, Kentucky, and Google searches for 'avocado toast.' Utilizing data from the Environmental Protection Agency and Google Trends, we set out to tackle this seemingly frivolous yet intriguing connection. Our findings reveal a notable correlation coefficient of 0.8784683 and a statistically significant p-value of < 0.01 for the years 2008 to 2016, suggesting that there is indeed a link between air quality and the desire for this trendy, smashed green fruit spread on toast. Through our analysis, we hope to shed light on the quirky interplay between environmental factors and food fads, and spur future research on the whimsical dance of consumer behavior and local air conditions.

[[INTRODUCTION]]
The Avo-Link Show: How Air Pollution in Middlesborough, Kentucky, Affects Avocado Toast Cravings is a tongue-in-cheek exploration of the unexpected and inexplicable relationship between air pollution and the search interest in everyone's favorite trendy brunch item. As the world becomes increasingly conscious of the effects of air pollution on health and wellbeing, it is only natural to extend this concern to the realm of food cravings. With the rise of avocado toast as a symbol of millennial culinary culture and the omnipresence of air pollution in Middlesborough, Kentucky, one cannot help but wonder if there's a deeper connection waiting to be uncovered.
At first glance, the notion of examining the correlation between air pollution levels and Google searches for avocado toast may seem as unconventional as putting avocado on bread, but the curious minds of researchers are always chasing the next revelation, no matter how surprising or trivial it may seem. As we embark on this scholarly journey, we are both amused and intrigued by the sheer audacity of such an investigation, and we hope to offer a side of humor alongside the gravitas of our statistical analysis.
Our findings promise to take the reader on a delightful and unexpected ride through the whimsical crossroads of environmental factors and culinary trends. But, as they say, the proof is in the pudding – or in this case, the avocado toast. We invite you to join us as we peel back the layers of this lighthearted yet thought-provoking study, and perhaps enjoy a serving of avocado toast while contemplating the enigmatic dance of consumer behavior and local air conditions.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

Sample Selection
The sample for this study was drawn from Google search data related to the term 'avocado toast' and air quality data from Middlesborough, Kentucky. To ensure data accuracy and reliability, we collated information from the Environmental Protection Agency (EPA) for air pollution measurements and Google Trends for search interest in avocado toast. We focused on the period from 2008 to 2016 to capture a comprehensive view of the evolving relationship between air quality and culinary curiosity.

Air Pollution Data Collection
To quantify the ambient air pollution in Middlesborough, Kentucky, we employed a variety of measurements, including particulate matter (PM2.5 and PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2), carbon monoxide (CO), and ozone (O3) levels. These data were collected from EPA monitoring stations situated across the city, offering a holistic representation of the atmospheric conditions. We then applied rigorous statistical techniques to mold the raw air quality numbers into a form as aesthetically pleasing as the presentation of a perfectly ripe avocado toast.

Google Search Data Retrieval
The Google search data for 'avocado toast' were acquired through Google Trends, a tool that synthesizes and scales search interest over time and across different geographic regions. We meticulously accessed and recorded the relative search volumes for the requisite keyword within the Middlesborough region. Our approach involved peeling back layers of data and scrutinizing the underlying trends to extract comprehensive insights.

Data Processing and Statistical Analysis
To evaluate the potential association between air pollution and avocado toast searches, we employed a combination of analytical techniques. Initially, we conducted exploratory data analysis to assess the distribution and trends within the obtained datasets. Subsequently, we performed a series of correlation analyses to unveil the interplay between air pollution metrics and search interest in avocado toast. Our statistical arsenal included Pearson's correlation coefficient, Spearman's rank correlation, and the rarely mentioned guacamole goodness index, specially designed for this whimsical investigation.

Regression Modeling
Building upon the correlation analyses, we crafted regression models to delve deeper into the nature of the relationship between air quality and avocado toast searches. By employing robust regression frameworks, we endeavored to capture the nuances of this curious connection while savoring the intellectual adventure much like one savors the creamy texture of a perfectly ripened avocado.

Control Variables
In our statistical foray, we carefully accounted for potential confounding variables, including demographic shifts, major societal events, and the proliferation of avocado-themed emojis in online communication. These adjustments ensured that our findings were not skewed by external factors, securing a more definite avocado-infused aroma in our conclusions.

Ethical Considerations
It is worthwhile to note that no avocados were harmed in the process of conducting this study. In compliance with ethical guidelines, our research entailed no avocados being sacrificed for statistical purposes, and any avocados consumed during the research process were purely for sustained intellectual nourishment.

Inferences and Limitations
At the core of this academic expedition lay the pursuit of knowledge, garnished with a touch of humor and a zest for unexpected discoveries. Through a combination of serious statistical rigor and whimsical curiosity, we endeavored to uncover the intriguing relationship between air pollution and avocado toast cravings. However, we acknowledge that our study is not devoid of limitations – just as a perfectly ripe avocado has its imperfections, so too does our research. The inherent limitations include the reliance on secondary data sources and the potential for unobservable variables affecting the connection under scrutiny. Nonetheless, our findings provide an appetizing foundation for subsequent researchers to further explore the enigmatic dance between environmental contexts and culinary proclivities.


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

Please make up the results section of an academic research paper presenting the findings of the connection between Air pollution in Middlesborough, Kentucky and Google searches for 'avocado toast'. 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 Environmental Protection Agency and Google Trends .

For the time period 2008 to 2016, you found a correlation 0.8784683, r-squared of 0.7717065, and p < 0.01.

One figure will be included. The figure (Fig. 1) is a scatterplot showing the strong correlation between the two variables. You don't need to specify where; I will add the figure.

Here is the title and abstract of the paper:
[[TITLE]]
The Avo-Link Show: How Air Pollution in Middlesborough, Kentucky, Affects Avocado Toast Cravings

[[ABSTRACT]]
This study delves into the unexpected relationship between air pollution in Middlesborough, Kentucky, and Google searches for 'avocado toast.' Utilizing data from the Environmental Protection Agency and Google Trends, we set out to tackle this seemingly frivolous yet intriguing connection. Our findings reveal a notable correlation coefficient of 0.8784683 and a statistically significant p-value of < 0.01 for the years 2008 to 2016, suggesting that there is indeed a link between air quality and the desire for this trendy, smashed green fruit spread on toast. Through our analysis, we hope to shed light on the quirky interplay between environmental factors and food fads, and spur future research on the whimsical dance of consumer behavior and local air conditions.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The Avo-Link Show: How Air Pollution in Middlesborough, Kentucky, Affects Avocado Toast Cravings is a tongue-in-cheek exploration of the unexpected and inexplicable relationship between air pollution and the search interest in everyone's favorite trendy brunch item. As the world becomes increasingly conscious of the effects of air pollution on health and wellbeing, it is only natural to extend this concern to the realm of food cravings. With the rise of avocado toast as a symbol of millennial culinary culture and the omnipresence of air pollution in Middlesborough, Kentucky, one cannot help but wonder if there's a deeper connection waiting to be uncovered.
At first glance, the notion of examining the correlation between air pollution levels and Google searches for avocado toast may seem as unconventional as putting avocado on bread, but the curious minds of researchers are always chasing the next revelation, no matter how surprising or trivial it may seem. As we embark on this scholarly journey, we are both amused and intrigued by the sheer audacity of such an investigation, and we hope to offer a side of humor alongside the gravitas of our statistical analysis.
Our findings promise to take the reader on a delightful and unexpected ride through the whimsical crossroads of environmental factors and culinary trends. But, as they say, the proof is in the pudding – or in this case, the avocado toast. We invite you to join us as we peel back the layers of this lighthearted yet thought-provoking study, and perhaps enjoy a serving of avocado toast while contemplating the enigmatic dance of consumer behavior and local air conditions.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The analysis of the relationship between air pollution in Middlesborough, Kentucky and the allure of avocado toast has yielded some truly a-peeling findings. The correlation coefficient of 0.8784683 indicates a remarkably strong positive association between these seemingly disparate variables. With an r-squared value of 0.7717065, we can assert that approximately 77.17% of the variance in Google searches for 'avocado toast' can be explained by changes in air pollution levels in Middlesborough. This p-value, coming in at < 0.01, confirms the statistical significance of the relationship, offering compelling evidence to support the notion that air quality may indeed influence the public's craving for this trendy dish.

Figure 1 presents a delightful scatterplot illustrating the robust correlation between air pollution and Google searches for 'avocado toast.' The scatterplot showcases the frothy peaks and creamy valleys of the data points, forming a harmonious blend that embodies the synergy between environmental conditions and culinary inclinations. The visual representation of this intriguing association leaves one feeling as though they've embarked on a whimsical journey through the avocado orchards of statistical fascination.

In essence, the results of this study unmask a surprising rapport between air pollution in Middlesborough, Kentucky, and the virtual quest for avocado toast. This whimsical connection invites us to consider the unpredictable ways in which external factors, such as air quality, can influence our gastronomic yearnings. Perhaps the winds of change carry not only fine particulate matter but also the subtle allure of avocado-infused cravings. These findings extend an invitation to ponder the enigmatic interplay of environmental elements and epicurean predilections, reminding us that statistical inquiry can uncover unexpected delicacies in the most unlikely places.


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

Please make up the discussion section of an academic research paper presenting the findings of the connection between Air pollution in Middlesborough, Kentucky and Google searches for 'avocado toast'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Limit your response to 500 tokens.

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

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

[[TITLE]]
The Avo-Link Show: How Air Pollution in Middlesborough, Kentucky, Affects Avocado Toast Cravings

[[ABSTRACT]]
This study delves into the unexpected relationship between air pollution in Middlesborough, Kentucky, and Google searches for 'avocado toast.' Utilizing data from the Environmental Protection Agency and Google Trends, we set out to tackle this seemingly frivolous yet intriguing connection. Our findings reveal a notable correlation coefficient of 0.8784683 and a statistically significant p-value of < 0.01 for the years 2008 to 2016, suggesting that there is indeed a link between air quality and the desire for this trendy, smashed green fruit spread on toast. Through our analysis, we hope to shed light on the quirky interplay between environmental factors and food fads, and spur future research on the whimsical dance of consumer behavior and local air conditions.

[[LITERATURE REVIEW]]
The authors find that the relationship between air pollution and dietary preferences is a relatively unexplored area of research. In "Smith et al.," the authors delve into the lesser-known effects of air pollution on consumer behavior, bringing to light the possibility of a connection between environmental factors and food choices. However, while the study offers valuable insights, it fails to address the specific gastronomic nuances inherent in the phenomenon of avocado toast cravings.
Doe and Jones, in their seminal work "Air Quality and Consumer Culture," introduce the idea of a subtle but tangible influence of environmental conditions on culinary predilections. They propose that local air quality may have a significant impact on the search interests of certain food items, an assertion that brings to mind the ever-ambiguous allure of the avocado toast phenomenon. However, their investigation does not explicitly explore the relationship between air pollution in Middlesborough, Kentucky, and the digital quest for creamy, green-tinted breakfast delights.
Turning to broader studies in trends and consumer behavior, "Economic Implications of Culinary Fads" by Adams and Brown offers a comprehensive review of the multifaceted factors contributing to the rise and fall of food trends in contemporary society. While the text does not specifically address the influence of environmental variables on dietary fashions, it sets the stage for considering the interplay of external factors in shaping the public's culinary proclivities.
In the realm of related non-fiction literature, "The Big Smoke: Air Pollution and Its Effects" by White and "The Avocado Bible" by Green provide invaluable contextual information for understanding the intersection of air quality and culinary preferences. The former sheds light on the diverse and often surprising consequences of air pollution, while the latter offers a lusciously written account of the avocado's journey from obscurity to prominence in the gastronomic world, serving as a tantalizing backdrop for our investigation.
Adding a fictional twist to our literary foray, "Smog over Middlesborough" by Rivers and "The Toast Diaries" by Baker offer imaginative narratives that, while not directly related to air pollution and avocado toast, infuse elements of whimsical intrigue into the tapestry of our exploration. As we wade through the amalgam of scholarly and fictional realms, it becomes evident that the quirky connection between air pollution and culinary curiosities is ripe for further examination.
Furthermore, the internet phenomenon surrounding avocado toast, replete with memes depicting the indomitable power of this trendy dish and its cultural connotations, serves as a lighthearted yet pertinent backdrop for our investigation. Memes such as "Avocado Toast: A Millennial Love Story" and "Air Pollution Map vs. Avocado Toast Sales: A Tale of Two Worlds" emphasize the peculiar juxtaposition of environmental concerns and culinary cravings, providing a delightful respite from the rigors of scholarly inquiry.
In synthesizing the literature, it is apparent that while the correlation between air pollution in Middlesborough, Kentucky, and Google searches for avocado toast may seem frivolous at first glance, the social, environmental, and cultural threads that intertwine in this quirky confluence merit further exploration. The blend of serious scholarship, playful fiction, and internet whimsy forms a rich tapestry that lays the groundwork for our investigation into the Avo-Link Show, promising a delightful journey into the unexpected crossroads of air pollution and avocado toast cravings.

[[RESULTS]]
The analysis of the relationship between air pollution in Middlesborough, Kentucky and the allure of avocado toast has yielded some truly a-peeling findings. The correlation coefficient of 0.8784683 indicates a remarkably strong positive association between these seemingly disparate variables. With an r-squared value of 0.7717065, we can assert that approximately 77.17% of the variance in Google searches for 'avocado toast' can be explained by changes in air pollution levels in Middlesborough. This p-value, coming in at < 0.01, confirms the statistical significance of the relationship, offering compelling evidence to support the notion that air quality may indeed influence the public's craving for this trendy dish.
Figure 1 presents a delightful scatterplot illustrating the robust correlation between air pollution and Google searches for 'avocado toast.' The scatterplot showcases the frothy peaks and creamy valleys of the data points, forming a harmonious blend that embodies the synergy between environmental conditions and culinary inclinations. The visual representation of this intriguing association leaves one feeling as though they've embarked on a whimsical journey through the avocado orchards of statistical fascination.
In essence, the results of this study unmask a surprising rapport between air pollution in Middlesborough, Kentucky, and the virtual quest for avocado toast. This whimsical connection invites us to consider the unpredictable ways in which external factors, such as air quality, can influence our gastronomic yearnings. Perhaps the winds of change carry not only fine particulate matter but also the subtle allure of avocado-infused cravings. These findings extend an invitation to ponder the enigmatic interplay of environmental elements and epicurean predilections, reminding us that statistical inquiry can uncover unexpected delicacies in the most unlikely places.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The results of our study have unearthed a delightfully unexpected romance between air pollution in Middlesborough, Kentucky, and the digital enchantment with avocado toast. Building upon the foundation laid by previous scholarly works, our findings not only support but also add a zestful twist to the existing literature on the influence of environmental factors on culinary cravings.

The robust correlation coefficient and statistically significant p-value speak to the tangible link between air quality and the virtual clamor for this trendy, green spread. Our results align with the proposition put forth by "Smith et al.," who hinted at the potential impact of air pollution on consumer behavior. Moreover, our findings build upon the work of Doe and Jones, confirming the notion that local air quality can indeed influence the search interests for specific food items, albeit with a humorous twist in the form of avocado toast.

In light of the surprising connection revealed in our study, we find ourselves compelled to take a literal and figurative "crack" at this intriguing avocado shell of inquiry. The visual portrayal of the data in our scatterplot, akin to a fine mosaic of creamy allure and environmental intrigue, aptly encapsulates the whimsical dance of statistics and gastronomic predilections.

Our results also harmonize with the broader literature on trends and consumer behavior, as illuminated in the comprehensive review by Adams and Brown. While their work does not delve into the influence of air quality on dietary fads, our findings nudge the scholarly conversation toward contemplating the savory interplay of external elements in shaping food trends.

In essence, the Avo-Link Show embodies the sprightly fusion of scholarly inquiry and lighthearted whimsy, inviting researchers to peel back the layers of quirk and curiosity in the realm of consumer behavior. As we continue to explore the quirky connection between air pollution and culinary curiosities, our study sparks a flavorful dialogue on the unexpected tangents of statistical investigation - a banquet of inquiry that promises to serve delicious insights for years to come.


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

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Air pollution in Middlesborough, Kentucky and Google searches for 'avocado toast'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

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

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
The Avo-Link Show: How Air Pollution in Middlesborough, Kentucky, Affects Avocado Toast Cravings

[[ABSTRACT]]
This study delves into the unexpected relationship between air pollution in Middlesborough, Kentucky, and Google searches for 'avocado toast.' Utilizing data from the Environmental Protection Agency and Google Trends, we set out to tackle this seemingly frivolous yet intriguing connection. Our findings reveal a notable correlation coefficient of 0.8784683 and a statistically significant p-value of < 0.01 for the years 2008 to 2016, suggesting that there is indeed a link between air quality and the desire for this trendy, smashed green fruit spread on toast. Through our analysis, we hope to shed light on the quirky interplay between environmental factors and food fads, and spur future research on the whimsical dance of consumer behavior and local air conditions.

[[INTRDUCTION]]
The Avo-Link Show: How Air Pollution in Middlesborough, Kentucky, Affects Avocado Toast Cravings is a tongue-in-cheek exploration of the unexpected and inexplicable relationship between air pollution and the search interest in everyone's favorite trendy brunch item. As the world becomes increasingly conscious of the effects of air pollution on health and wellbeing, it is only natural to extend this concern to the realm of food cravings. With the rise of avocado toast as a symbol of millennial culinary culture and the omnipresence of air pollution in Middlesborough, Kentucky, one cannot help but wonder if there's a deeper connection waiting to be uncovered.
At first glance, the notion of examining the correlation between air pollution levels and Google searches for avocado toast may seem as unconventional as putting avocado on bread, but the curious minds of researchers are always chasing the next revelation, no matter how surprising or trivial it may seem. As we embark on this scholarly journey, we are both amused and intrigued by the sheer audacity of such an investigation, and we hope to offer a side of humor alongside the gravitas of our statistical analysis.
Our findings promise to take the reader on a delightful and unexpected ride through the whimsical crossroads of environmental factors and culinary trends. But, as they say, the proof is in the pudding – or in this case, the avocado toast. We invite you to join us as we peel back the layers of this lighthearted yet thought-provoking study, and perhaps enjoy a serving of avocado toast while contemplating the enigmatic dance of consumer behavior and local air conditions.

[[RESULTS]]
The analysis of the relationship between air pollution in Middlesborough, Kentucky and the allure of avocado toast has yielded some truly a-peeling findings. The correlation coefficient of 0.8784683 indicates a remarkably strong positive association between these seemingly disparate variables. With an r-squared value of 0.7717065, we can assert that approximately 77.17% of the variance in Google searches for 'avocado toast' can be explained by changes in air pollution levels in Middlesborough. This p-value, coming in at < 0.01, confirms the statistical significance of the relationship, offering compelling evidence to support the notion that air quality may indeed influence the public's craving for this trendy dish.
Figure 1 presents a delightful scatterplot illustrating the robust correlation between air pollution and Google searches for 'avocado toast.' The scatterplot showcases the frothy peaks and creamy valleys of the data points, forming a harmonious blend that embodies the synergy between environmental conditions and culinary inclinations. The visual representation of this intriguing association leaves one feeling as though they've embarked on a whimsical journey through the avocado orchards of statistical fascination.
In essence, the results of this study unmask a surprising rapport between air pollution in Middlesborough, Kentucky, and the virtual quest for avocado toast. This whimsical connection invites us to consider the unpredictable ways in which external factors, such as air quality, can influence our gastronomic yearnings. Perhaps the winds of change carry not only fine particulate matter but also the subtle allure of avocado-infused cravings. These findings extend an invitation to ponder the enigmatic interplay of environmental elements and epicurean predilections, reminding us that statistical inquiry can uncover unexpected delicacies in the most unlikely places.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, the Avo-Link Show has provided us with a compelling insight into the potentially symbiotic relationship between air pollution in Middlesborough, Kentucky, and the virtual quest for avocado toast. Our findings have peeled back the layers of this unlikely tango between environmental quality and culinary cravings, offering a statistically significant correlation that may surprise and delight researchers and brunch enthusiasts alike. The robust correlation coefficient and r-squared value underscore the potency of this connection, leading us to ponder whether the winds of change may indeed carry not only fine particulate matter but also the subtle allure of avocado-infused yearnings.

As we savor the tantalizing implications of our results, we are reminded that statistical inquiry has an uncanny ability to uncover unexpected delicacies in the most unlikely places. The whimsical dance of consumer behavior and environmental conditions continues to unfold before us, beckoning further exploration into the enigmatic interplay of culinary curiosities and atmospheric phenomena.

In light of these findings, we must acknowledge that this lighthearted study has not only provided statistical insights but also served as a reminder that research endeavors can embrace humor and levity. However, we firmly assert that no further research is needed in this particular area, as the quest for the avo-link between air pollution and avocado toast has reached its creamy, satisfying conclusion.


Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of academic journals. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding research, scientific, or academic journal that would publish a paper entited The Avo-Link Show: How Air Pollution in Middlesborough, Kentucky, Affects Avocado Toast Cravings. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Culinary Climate Studies


Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of nonprofit research organizations and associations. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding nonprofit, academic, or scientific association or organization that would sponsor research that resulted in a paper entited The Avo-Link Show: How Air Pollution in Middlesborough, Kentucky, Affects Avocado Toast Cravings. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Gastronomic Environmental 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 The Avo-Link Show: How Air Pollution in Middlesborough, Kentucky, Affects Avocado Toast Cravings with an abstract of This study delves into the unexpected relationship between air pollution in Middlesborough, Kentucky, and Google searches for 'avocado toast.' Utilizing data from the Environmental Protection Agency and Google Trends, we set out to tackle this seemingly frivolous yet intriguing connection. Our findings reveal a notable correlation coefficient of 0.8784683 and a statistically significant p-value of < 0.01 for the years 2008 to 2016, suggesting that there is indeed a link between air quality and the desire for this trendy, smashed green fruit spread on toast. Through our analysis, we hope to shed light on the quirky interplay between environmental factors and food fads, and spur future research on the whimsical dance of consumer behavior and local air conditions.

ChatGPT:

Middlesborough Kentucky, air pollution, avocado toast cravings, Google searches, Environmental Protection Agency data, Google Trends, correlation coefficient, p-value, consumer behavior, local air conditions, air quality, food fads, whimsical dance, environmental factors

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



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Data details

Air pollution in Middlesborough, Kentucky
Detailed data title: Percentage of days 'unhealthy' or worse air quality in Middlesborough, KY
Source: Environmental Protection Agency
See what else correlates with Air pollution in Middlesborough, Kentucky

Google searches for 'avocado toast'
Detailed data title: Relative volume of Google searches for 'avocado toast' (Worldwide, without quotes)
Source: Google Trends
Additional Info: Relative search volume (not absolute numbers)

See what else correlates with Google searches for 'avocado toast'

Correlation r = 0.8784683 (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 = 0.7717065 (Coefficient of determination)
This means 77.2% of the change in the one variable (i.e., Google searches for 'avocado toast') is predictable based on the change in the other (i.e., Air pollution in Middlesborough, Kentucky) over the 9 years from 2008 through 2016.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.0018. 0.0018259484578190990000000000
The p-value is a measure of how probable it is that we would randomly find a result this extreme. More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.

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

Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.88 in 0.18% of random cases. Said differently, if you correlated 548 random variables Which I absolutely did.
with the same 8 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 8 because we have two variables measured over a period of 9 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.

[ 0.51, 0.97 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

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


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

Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
200820092010201120122013201420152016
Air pollution in Middlesborough, Kentucky (Bad air quality days)000000000.00383142
Google searches for 'avocado toast' (Rel. search volume)0.3750.40.83333311.083332.55.1666712.2524




Why this works

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




Try it yourself

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

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

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

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

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

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

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

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

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


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

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

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

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

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([0,0,0,0,0,0,0,0,0.00383142,])
array_2 = np.array([0.375,0.4,0.833333,1,1.08333,2.5,5.16667,12.25,24,])
array_1_name = "Air pollution in Middlesborough, Kentucky"
array_2_name = "Google searches for 'avocado toast'"

# 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)



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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.

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Correlation ID: 2116 · Black Variable ID: 22349 · Red Variable ID: 1422
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