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AI explanation
As Mark Rober's YouTube channel gained more views, his fans were filled with a newfound zest for life. This led to a spike in demand for sugary delights, prompting Krispy Kreme to open more stores and spread the joy of doughnuts far and wide. After all, when Mark's viewership goes up, it's only natural for the doughnut industry to rise to the occasion!Model: dalle-3
Prompt: Generate a comic-book-style scene with muted colors and a dotted halftone pattern from the 1960s, showing a bustling cityscape with a prominent Krispy Kreme Doughnuts store featuring its iconic red and green signage. A crowd of cheerful people lines up outside the store, eagerly waiting to indulge in delicious doughnuts. In the background, a giant billboard proudly displays the Total views on Mark Rober's YouTube videos, showcasing an impressive surge in numbers. The scene captures the shared enthusiasm and joy generated by both Mark Rober's increasing viewership and the growing presence of Krispy Kreme stores across the country. 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: Total views on Mark Rober YouTube videos and Krispy Kreme Doughnuts store count in the US. 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: Pop art Oragami Low poly Futuristic A comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s
ChatGPT: A comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s
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 Total views on Mark Rober YouTube videos and Krispy Kreme Doughnuts store count in the US, in the following situation: As Mark Rober's YouTube channel gained more views, his fans were filled with a newfound zest for life. This led to a spike in demand for sugary delights, prompting Krispy Kreme to open more stores and spread the joy of doughnuts far and wide. After all, when Mark's viewership goes up, it's only natural for the doughnut industry to rise to the occasion!. Keep the description simple.
ChatGPT: A bustling Krispy Kreme Doughnuts store, with the iconic red and green signage, stands amidst a vibrant cityscape. Crowds of people are happily lined up outside the store, eagerly waiting to indulge in delicious doughnuts. Meanwhile, in the background, a giant billboard proudly displays the Total views on Mark Rober's YouTube videos, showcasing an impressive surge in numbers. The scene captures the shared enthusiasm and joy generated by both Mark Rober's increasing viewership and the growing presence of Krispy Kreme stores across the country.
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 comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s ] and depicting this scene: A bustling Krispy Kreme Doughnuts store, with the iconic red and green signage, stands amidst a vibrant cityscape. Crowds of people are happily lined up outside the store, eagerly waiting to indulge in delicious doughnuts. Meanwhile, in the background, a giant billboard proudly displays the Total views on Mark Rober's YouTube videos, showcasing an impressive surge in numbers. The scene captures the shared enthusiasm and joy generated by both Mark Rober's increasing viewership and the growing presence of Krispy Kreme stores across the country. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate a comic-book-style scene with muted colors and a dotted halftone pattern from the 1960s, showing a bustling cityscape with a prominent Krispy Kreme Doughnuts store featuring its iconic red and green signage. A crowd of cheerful people lines up outside the store, eagerly waiting to indulge in delicious doughnuts. In the background, a giant billboard proudly displays the Total views on Mark Rober's YouTube videos, showcasing an impressive surge in numbers. The scene captures the shared enthusiasm and joy generated by both Mark Rober's increasing viewership and the growing presence of Krispy Kreme stores across the country.
*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.
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 Total views on Mark Rober YouTube videos caused Krispy Kreme Doughnuts store count in the US to increase.
AI academic paper
Doughnuts and Data: The Correlation between Mark Rober's Views and Krispy Kreme Store Count in the US The Journal of Gastronomical Analytics Jan 2024 Reminder: This paper is AI-generated. Not real! |
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 Total views on Mark Rober YouTube videos and Krispy Kreme Doughnuts store count in the US. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Make the title punny if you can come up with clever pun. If not, just make it sound clever.
Your research team used data from YouTube and Statista to assess this nagging question. You found a correlation coefficient of 0.7109428 and p < 0.05 for 2011 to 2021.
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]]
"Doughnuts and Data: The Correlation between Mark Rober's Views and Krispy Kreme Store Count in the US"
[[ABSTRACT]]
This study delves deep into the sweet and statistical relationship between the total views on Mark Rober's YouTube videos and the count of Krispy Kreme Doughnuts stores across the United States. By utilizing data from YouTube and Statista from 2011 to 2021, our research team uncovered a correlation coefficient of 0.7109428 and p < 0.05, indicating a significant association between these two seemingly unrelated entities. While some may dismiss this as mere coincidence, our findings suggest that there may be more to this correlation than meets the eye. In exploring this quirky connection, we embark on a statistical journey filled with doughnut-related puns and robust data analysis. Join us in uncovering the intriguing relationship between DIY science and delectable doughnuts!
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 Total views on Mark Rober YouTube videos and Krispy Kreme Doughnuts store count in the US. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Here is the title and abstract of the paper:
[[TITLE]]
"Doughnuts and Data: The Correlation between Mark Rober's Views and Krispy Kreme Store Count in the US"
[[ABSTRACT]]
This study delves deep into the sweet and statistical relationship between the total views on Mark Rober's YouTube videos and the count of Krispy Kreme Doughnuts stores across the United States. By utilizing data from YouTube and Statista from 2011 to 2021, our research team uncovered a correlation coefficient of 0.7109428 and p < 0.05, indicating a significant association between these two seemingly unrelated entities. While some may dismiss this as mere coincidence, our findings suggest that there may be more to this correlation than meets the eye. In exploring this quirky connection, we embark on a statistical journey filled with doughnut-related puns and robust data analysis. Join us in uncovering the intriguing relationship between DIY science and delectable doughnuts!
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
The world of statistical analysis is often filled with unexpected connections and peculiar correlations. From the relationship between ice cream sales and shark attacks to the link between Nicolas Cage movies and swimming pool drownings, researchers are continually uncovering surprising associations between seemingly unrelated phenomena. In this vein, our study endeavors to explore the peculiar connection between the total views on Mark Rober's captivating YouTube videos and the burgeoning count of Krispy Kreme Doughnuts stores in the United States.
On the surface, the idea of scrutinizing the viewership of a popular DIY science YouTuber alongside the spread of a renowned doughnut chain may seem whimsical, if not utterly absurd. Yet, as we delved into the data spanning the past decade, we were astonished to find a statistically significant correlation between these disparate entities. As the saying goes, "where there's a will, there's a cliché." Nevertheless, we assure our esteemed readers that we approach this investigation with the utmost seriousness, sprinkled with a dash of humor and a pinch of glaze.
The emergence of YouTube as a prominent platform for educational and entertaining content has redefined the landscape of science communication and popularized a new generation of science enthusiasts. Mark Rober, an ex-NASA engineer turned YouTube personality, has amassed a substantial following with his engaging and informative videos on various scientific experiments and engineering feats. Given his penchant for blending humor and ingenuity, Rober has cultivated a dedicated audience eager to partake in his endeavors, much like patrons flocking to a bakery for the latest batch of freshly glazed doughnuts.
Meanwhile, within the gastronomic realm, Krispy Kreme Doughnuts has solidified its status as a beloved purveyor of delectable pastries, enchanting doughnut connoisseurs nationwide with its tantalizing array of sugary treats. It is in this convergence of science and sweetness that our fascination with the potential relationship between Rober's viewership and Krispy Kreme's store count blossomed, akin to a dough rising in the warmth of an oven.
In the following sections of this paper, we embark on an empirical journey, guided by statistical rigor and a passion for uncovering unconventional connections. Our aim is to present a comprehensive analysis that not only elucidates the statistical correlation between these variables but also offers a window into the whimsical world of unintended statistical relationships. As we delve into the data, our study promises to be both enlightening and, dare we say, a little bit sweet.
So, dear reader, fasten your seatbelts, grab a doughnut (or two), and join us on this unlikely statistical expedition as we unravel the enigmatic bond between Mark Rober's YouTube prowess and the doughy allure of Krispy Kreme.
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 Total views on Mark Rober YouTube videos and Krispy Kreme Doughnuts store count in the US. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.
Make up the lorem and ipsum part, but make it sound related to the topic at hand.
Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then name some movies that you watched that are tangentially related to the topic.
Here is the title and abstract of the paper:
[[TITLE]]
"Doughnuts and Data: The Correlation between Mark Rober's Views and Krispy Kreme Store Count in the US"
[[ABSTRACT]]
This study delves deep into the sweet and statistical relationship between the total views on Mark Rober's YouTube videos and the count of Krispy Kreme Doughnuts stores across the United States. By utilizing data from YouTube and Statista from 2011 to 2021, our research team uncovered a correlation coefficient of 0.7109428 and p < 0.05, indicating a significant association between these two seemingly unrelated entities. While some may dismiss this as mere coincidence, our findings suggest that there may be more to this correlation than meets the eye. In exploring this quirky connection, we embark on a statistical journey filled with doughnut-related puns and robust data analysis. Join us in uncovering the intriguing relationship between DIY science and delectable doughnuts!
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The world of statistical analysis is often filled with unexpected connections and peculiar correlations. From the relationship between ice cream sales and shark attacks to the link between Nicolas Cage movies and swimming pool drownings, researchers are continually uncovering surprising associations between seemingly unrelated phenomena. In this vein, our study endeavors to explore the peculiar connection between the total views on Mark Rober's captivating YouTube videos and the burgeoning count of Krispy Kreme Doughnuts stores in the United States.
On the surface, the idea of scrutinizing the viewership of a popular DIY science YouTuber alongside the spread of a renowned doughnut chain may seem whimsical, if not utterly absurd. Yet, as we delved into the data spanning the past decade, we were astonished to find a statistically significant correlation between these disparate entities. As the saying goes, "where there's a will, there's a cliché." Nevertheless, we assure our esteemed readers that we approach this investigation with the utmost seriousness, sprinkled with a dash of humor and a pinch of glaze.
The emergence of YouTube as a prominent platform for educational and entertaining content has redefined the landscape of science communication and popularized a new generation of science enthusiasts. Mark Rober, an ex-NASA engineer turned YouTube personality, has amassed a substantial following with his engaging and informative videos on various scientific experiments and engineering feats. Given his penchant for blending humor and ingenuity, Rober has cultivated a dedicated audience eager to partake in his endeavors, much like patrons flocking to a bakery for the latest batch of freshly glazed doughnuts.
Meanwhile, within the gastronomic realm, Krispy Kreme Doughnuts has solidified its status as a beloved purveyor of delectable pastries, enchanting doughnut connoisseurs nationwide with its tantalizing array of sugary treats. It is in this convergence of science and sweetness that our fascination with the potential relationship between Rober's viewership and Krispy Kreme's store count blossomed, akin to a dough rising in the warmth of an oven.
In the following sections of this paper, we embark on an empirical journey, guided by statistical rigor and a passion for uncovering unconventional connections. Our aim is to present a comprehensive analysis that not only elucidates the statistical correlation between these variables but also offers a window into the whimsical world of unintended statistical relationships. As we delve into the data, our study promises to be both enlightening and, dare we say, a little bit sweet.
So, dear reader, fasten your seatbelts, grab a doughnut (or two), and join us on this unlikely statistical expedition as we unravel the enigmatic bond between Mark Rober's YouTube prowess and the doughy allure of Krispy Kreme.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
In a study by Smith et al., the authors found a strong positive correlation between social media engagement and consumer behavior, indicating the potential influence of online content on consumer preferences and habits (Smith, 2016). Building upon this notion, Doe and Jones established a connection between popular DIY science content and audience engagement, shedding light on the impact of educational and entertaining videos on viewers' interests and activities (Doe & Jones, 2018).
As we transition into a more unconventional realm of literature, it is worth considering the insights offered by "Doughnuts: Delicious and Delightful" by Baker and Fryer. This comprehensive exploration of the cultural significance and consumer trends surrounding doughnuts offers a tantalizing backdrop for our investigation into the linkage between Krispy Kreme store count and online viewership of scientific content (Baker & Fryer, 2019). Additionally, the work of "Data Delights: A Statistical Symposium on Sweets" by Statistician et al. presents a unique perspective on the intersection of data analysis and culinary fascination, providing a lighthearted yet informative context for our research (Statistician et al., 2020).
Delving further into the literary landscape, the fictional accounts of "The Statistical Sorcery of Sweets" by Munchkin and "Doughnuts, Data, and Destiny" by Confectionery Enthusiast offer imaginative narratives that, although not rooted in empirical evidence, serve as whimsical musings on the potential connections between statistical analysis and the world of confectionery (Munchkin, 2017; Enthusiast, 2020). These literary works remind us of the delightful and often surprising nature of statistical relationships, beckoning us to approach our investigation with a sense of curiosity and humor.
Moreover, drawing inspiration from the silver screen, the movies "The Statistical Scientist and the Sweet Surprises" and "Doughnut Diaries: A Tale of Tasty Trends" provide cinematic interpretations of the captivating juxtaposition between data analysis and delectable treats (Director, 2015; Cinematographer, 2018). While these films may not directly inform our empirical study, they serve as lighthearted reminders of the unexpected joy that can emerge from unconventional statistical investigations.
In synthesizing the literature surrounding our peculiar yet enthralling research endeavor, we are reminded of the multifaceted nature of statistical inquiry and the delightful surprises that await amidst seemingly unrelated domains. With this eclectic array of sources as our backdrop, we embark on our statistical odyssey, armed with curiosity, mirth, and an insatiable appetite for uncovering the unexpected.
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 Total views on Mark Rober YouTube videos and Krispy Kreme Doughnuts store count in the US. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Your research team collected data from all across the internet, but mostly just used information from YouTube and Statista . You used data from 2011 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]]
"Doughnuts and Data: The Correlation between Mark Rober's Views and Krispy Kreme Store Count in the US"
[[ABSTRACT]]
This study delves deep into the sweet and statistical relationship between the total views on Mark Rober's YouTube videos and the count of Krispy Kreme Doughnuts stores across the United States. By utilizing data from YouTube and Statista from 2011 to 2021, our research team uncovered a correlation coefficient of 0.7109428 and p < 0.05, indicating a significant association between these two seemingly unrelated entities. While some may dismiss this as mere coincidence, our findings suggest that there may be more to this correlation than meets the eye. In exploring this quirky connection, we embark on a statistical journey filled with doughnut-related puns and robust data analysis. Join us in uncovering the intriguing relationship between DIY science and delectable doughnuts!
[[INTRODUCTION]]
The world of statistical analysis is often filled with unexpected connections and peculiar correlations. From the relationship between ice cream sales and shark attacks to the link between Nicolas Cage movies and swimming pool drownings, researchers are continually uncovering surprising associations between seemingly unrelated phenomena. In this vein, our study endeavors to explore the peculiar connection between the total views on Mark Rober's captivating YouTube videos and the burgeoning count of Krispy Kreme Doughnuts stores in the United States.
On the surface, the idea of scrutinizing the viewership of a popular DIY science YouTuber alongside the spread of a renowned doughnut chain may seem whimsical, if not utterly absurd. Yet, as we delved into the data spanning the past decade, we were astonished to find a statistically significant correlation between these disparate entities. As the saying goes, "where there's a will, there's a cliché." Nevertheless, we assure our esteemed readers that we approach this investigation with the utmost seriousness, sprinkled with a dash of humor and a pinch of glaze.
The emergence of YouTube as a prominent platform for educational and entertaining content has redefined the landscape of science communication and popularized a new generation of science enthusiasts. Mark Rober, an ex-NASA engineer turned YouTube personality, has amassed a substantial following with his engaging and informative videos on various scientific experiments and engineering feats. Given his penchant for blending humor and ingenuity, Rober has cultivated a dedicated audience eager to partake in his endeavors, much like patrons flocking to a bakery for the latest batch of freshly glazed doughnuts.
Meanwhile, within the gastronomic realm, Krispy Kreme Doughnuts has solidified its status as a beloved purveyor of delectable pastries, enchanting doughnut connoisseurs nationwide with its tantalizing array of sugary treats. It is in this convergence of science and sweetness that our fascination with the potential relationship between Rober's viewership and Krispy Kreme's store count blossomed, akin to a dough rising in the warmth of an oven.
In the following sections of this paper, we embark on an empirical journey, guided by statistical rigor and a passion for uncovering unconventional connections. Our aim is to present a comprehensive analysis that not only elucidates the statistical correlation between these variables but also offers a window into the whimsical world of unintended statistical relationships. As we delve into the data, our study promises to be both enlightening and, dare we say, a little bit sweet.
So, dear reader, fasten your seatbelts, grab a doughnut (or two), and join us on this unlikely statistical expedition as we unravel the enigmatic bond between Mark Rober's YouTube prowess and the doughy allure of Krispy Kreme.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To investigate the tantalizing tale of total views on Mark Rober's YouTube videos and the doughnut-driven dynamics of Krispy Kreme store counts across the United States, a meticulous methodology was employed. The primary data sources utilized in this endeavor were YouTube, serving as a digital repository of video viewership statistics, and Statista, offering comprehensive information on the distribution and growth of Krispy Kreme establishments over the years. The time frame for data collection spanned from 2011 to 2021, encompassing a decade of delectable data.
First, the total views on Mark Rober's YouTube videos were scrupulously extracted, providing an insight into the burgeoning allure of engaging science-related content in the digital realm. The use of assorted statistical techniques enabled the quantification and analysis of the trajectory of Rober's viewership, capturing the ebb and flow of his audience's fascination for scientific experimentation and engineering marvels.
Simultaneously, the count of Krispy Kreme Doughnuts stores across the United States was meticulously chronicled, harnessing the robust database available through Statista. This vigilant monitoring of the geographical proliferation of doughnut havens unveiled the geographical and commercial evolution of this beloved pastry purveyor, echoing a symphony of sugary disbursement across the nation.
To establish the statistical relationship between these seemingly incongruous entities, a correlation analysis was performed, revealing a coefficient of determination denoted as r. This coefficient measured the strength and direction of the linear relationship between the total views on Mark Rober's YouTube videos and the count of Krispy Kreme stores, providing a numerical testament to the intertwining of science-inspired spectacles and sweet, glazed temptations.
Furthermore, a series of inferential statistical tests were conducted to ascertain the significance of this correlation, as denoted by the p-value. This statistical prowess enabled us to discern the likelihood of the observed association arising by mere chance, casting a discerning eye on the statistical relevance and coherence of our findings.
In conclusion, the methodology employed in this study adhered to rigorous statistical principles, adorned with a sprinkle of curiosity and a dollop of whimsy. With an unyielding pursuit of scholarly discovery and a pinch of playful exuberance, we endeavored to unravel the enigmatic bond between the virtual allure of scientific wonderment and the tangible allure of Krispy Kreme's doughy delights.
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 Total views on Mark Rober YouTube videos and Krispy Kreme Doughnuts store count in the US. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Your research team collected data from all across the internet, but mostly just used information from YouTube and Statista .
For the time period 2011 to 2021, you found a correlation 0.7109428, r-squared of 0.5054396, and p < 0.05.
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]]
"Doughnuts and Data: The Correlation between Mark Rober's Views and Krispy Kreme Store Count in the US"
[[ABSTRACT]]
This study delves deep into the sweet and statistical relationship between the total views on Mark Rober's YouTube videos and the count of Krispy Kreme Doughnuts stores across the United States. By utilizing data from YouTube and Statista from 2011 to 2021, our research team uncovered a correlation coefficient of 0.7109428 and p < 0.05, indicating a significant association between these two seemingly unrelated entities. While some may dismiss this as mere coincidence, our findings suggest that there may be more to this correlation than meets the eye. In exploring this quirky connection, we embark on a statistical journey filled with doughnut-related puns and robust data analysis. Join us in uncovering the intriguing relationship between DIY science and delectable doughnuts!
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
The world of statistical analysis is often filled with unexpected connections and peculiar correlations. From the relationship between ice cream sales and shark attacks to the link between Nicolas Cage movies and swimming pool drownings, researchers are continually uncovering surprising associations between seemingly unrelated phenomena. In this vein, our study endeavors to explore the peculiar connection between the total views on Mark Rober's captivating YouTube videos and the burgeoning count of Krispy Kreme Doughnuts stores in the United States.
On the surface, the idea of scrutinizing the viewership of a popular DIY science YouTuber alongside the spread of a renowned doughnut chain may seem whimsical, if not utterly absurd. Yet, as we delved into the data spanning the past decade, we were astonished to find a statistically significant correlation between these disparate entities. As the saying goes, "where there's a will, there's a cliché." Nevertheless, we assure our esteemed readers that we approach this investigation with the utmost seriousness, sprinkled with a dash of humor and a pinch of glaze.
The emergence of YouTube as a prominent platform for educational and entertaining content has redefined the landscape of science communication and popularized a new generation of science enthusiasts. Mark Rober, an ex-NASA engineer turned YouTube personality, has amassed a substantial following with his engaging and informative videos on various scientific experiments and engineering feats. Given his penchant for blending humor and ingenuity, Rober has cultivated a dedicated audience eager to partake in his endeavors, much like patrons flocking to a bakery for the latest batch of freshly glazed doughnuts.
Meanwhile, within the gastronomic realm, Krispy Kreme Doughnuts has solidified its status as a beloved purveyor of delectable pastries, enchanting doughnut connoisseurs nationwide with its tantalizing array of sugary treats. It is in this convergence of science and sweetness that our fascination with the potential relationship between Rober's viewership and Krispy Kreme's store count blossomed, akin to a dough rising in the warmth of an oven.
In the following sections of this paper, we embark on an empirical journey, guided by statistical rigor and a passion for uncovering unconventional connections. Our aim is to present a comprehensive analysis that not only elucidates the statistical correlation between these variables but also offers a window into the whimsical world of unintended statistical relationships. As we delve into the data, our study promises to be both enlightening and, dare we say, a little bit sweet.
So, dear reader, fasten your seatbelts, grab a doughnut (or two), and join us on this unlikely statistical expedition as we unravel the enigmatic bond between Mark Rober's YouTube prowess and the doughy allure of Krispy Kreme.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The statistical analysis unveiled a notable correlation coefficient of 0.7109428 between the total views on Mark Rober's YouTube videos and the count of Krispy Kreme Doughnuts stores in the United States for the time period of 2011 to 2021. The coefficient of determination (r-squared) was 0.5054396, further underscoring the robustness of the association. With a significance level of p < 0.05, the correlation was deemed statistically significant, indicating that this relationship is unlikely to have occurred by mere chance.
In Fig. 1, the scatterplot graphically depicts the strong positive correlation between the two variables, showcasing a trend that could be described as "as the views rise, so do the doughnut shops." The scatterplot illustrates the intuitive notion that as the appeal of Mark Rober's captivating science videos grows, so does the proliferation of Krispy Kreme stores. One might even go so far as to say that the allure of scientific exploration is as captivating as the aroma of freshly baked doughnuts.
The findings of this study not only affirm the presence of a quantifiable statistical relationship between Rober's YouTube viewership and Krispy Kreme's store count but also raise intriguing questions about the potential underlying mechanisms driving this correlation. Could it be that indulging in the mesmerizing scientific experiments showcased in Rober's videos triggers a subconscious craving for a sugary reward in the form of a Krispy Kreme doughnut? Or perhaps the increase in doughnut consumption imparts an insatiable curiosity for Rober's intellectual entertainment, leading to an upward spiral of scientific inquiry and confectionary delight? While such questions may sound whimsical, they offer a lighthearted lens through which to contemplate the enigmatic interplay between these seemingly unrelated phenomena.
In summary, the statistical analysis reveals a compelling correlation between the viewership of Mark Rober's YouTube videos and the proliferation of Krispy Kreme Doughnuts stores in the United States. The unexpected nature of this association offers a tantalizing avenue for further exploration, inviting researchers to delve deeper into the notions of causality and the intertwined influences of science communication and gastronomic indulgence.
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 Total views on Mark Rober YouTube videos and Krispy Kreme Doughnuts store count in the US. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
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]]
"Doughnuts and Data: The Correlation between Mark Rober's Views and Krispy Kreme Store Count in the US"
[[ABSTRACT]]
This study delves deep into the sweet and statistical relationship between the total views on Mark Rober's YouTube videos and the count of Krispy Kreme Doughnuts stores across the United States. By utilizing data from YouTube and Statista from 2011 to 2021, our research team uncovered a correlation coefficient of 0.7109428 and p < 0.05, indicating a significant association between these two seemingly unrelated entities. While some may dismiss this as mere coincidence, our findings suggest that there may be more to this correlation than meets the eye. In exploring this quirky connection, we embark on a statistical journey filled with doughnut-related puns and robust data analysis. Join us in uncovering the intriguing relationship between DIY science and delectable doughnuts!
[[LITERATURE REVIEW]]
In a study by Smith et al., the authors found a strong positive correlation between social media engagement and consumer behavior, indicating the potential influence of online content on consumer preferences and habits (Smith, 2016). Building upon this notion, Doe and Jones established a connection between popular DIY science content and audience engagement, shedding light on the impact of educational and entertaining videos on viewers' interests and activities (Doe & Jones, 2018).
As we transition into a more unconventional realm of literature, it is worth considering the insights offered by "Doughnuts: Delicious and Delightful" by Baker and Fryer. This comprehensive exploration of the cultural significance and consumer trends surrounding doughnuts offers a tantalizing backdrop for our investigation into the linkage between Krispy Kreme store count and online viewership of scientific content (Baker & Fryer, 2019). Additionally, the work of "Data Delights: A Statistical Symposium on Sweets" by Statistician et al. presents a unique perspective on the intersection of data analysis and culinary fascination, providing a lighthearted yet informative context for our research (Statistician et al., 2020).
Delving further into the literary landscape, the fictional accounts of "The Statistical Sorcery of Sweets" by Munchkin and "Doughnuts, Data, and Destiny" by Confectionery Enthusiast offer imaginative narratives that, although not rooted in empirical evidence, serve as whimsical musings on the potential connections between statistical analysis and the world of confectionery (Munchkin, 2017; Enthusiast, 2020). These literary works remind us of the delightful and often surprising nature of statistical relationships, beckoning us to approach our investigation with a sense of curiosity and humor.
Moreover, drawing inspiration from the silver screen, the movies "The Statistical Scientist and the Sweet Surprises" and "Doughnut Diaries: A Tale of Tasty Trends" provide cinematic interpretations of the captivating juxtaposition between data analysis and delectable treats (Director, 2015; Cinematographer, 2018). While these films may not directly inform our empirical study, they serve as lighthearted reminders of the unexpected joy that can emerge from unconventional statistical investigations.
In synthesizing the literature surrounding our peculiar yet enthralling research endeavor, we are reminded of the multifaceted nature of statistical inquiry and the delightful surprises that await amidst seemingly unrelated domains. With this eclectic array of sources as our backdrop, we embark on our statistical odyssey, armed with curiosity, mirth, and an insatiable appetite for uncovering the unexpected.
[[RESULTS]]
The statistical analysis unveiled a notable correlation coefficient of 0.7109428 between the total views on Mark Rober's YouTube videos and the count of Krispy Kreme Doughnuts stores in the United States for the time period of 2011 to 2021. The coefficient of determination (r-squared) was 0.5054396, further underscoring the robustness of the association. With a significance level of p < 0.05, the correlation was deemed statistically significant, indicating that this relationship is unlikely to have occurred by mere chance.
In Fig. 1, the scatterplot graphically depicts the strong positive correlation between the two variables, showcasing a trend that could be described as "as the views rise, so do the doughnut shops." The scatterplot illustrates the intuitive notion that as the appeal of Mark Rober's captivating science videos grows, so does the proliferation of Krispy Kreme stores. One might even go so far as to say that the allure of scientific exploration is as captivating as the aroma of freshly baked doughnuts.
The findings of this study not only affirm the presence of a quantifiable statistical relationship between Rober's YouTube viewership and Krispy Kreme's store count but also raise intriguing questions about the potential underlying mechanisms driving this correlation. Could it be that indulging in the mesmerizing scientific experiments showcased in Rober's videos triggers a subconscious craving for a sugary reward in the form of a Krispy Kreme doughnut? Or perhaps the increase in doughnut consumption imparts an insatiable curiosity for Rober's intellectual entertainment, leading to an upward spiral of scientific inquiry and confectionary delight? While such questions may sound whimsical, they offer a lighthearted lens through which to contemplate the enigmatic interplay between these seemingly unrelated phenomena.
In summary, the statistical analysis reveals a compelling correlation between the viewership of Mark Rober's YouTube videos and the proliferation of Krispy Kreme Doughnuts stores in the United States. The unexpected nature of this association offers a tantalizing avenue for further exploration, inviting researchers to delve deeper into the notions of causality and the intertwined influences of science communication and gastronomic indulgence.
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Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The results of our investigation unearth a remarkable statistical relationship between the total views on Mark Rober's YouTube videos and the count of Krispy Kreme Doughnuts stores in the United States. The robust correlation coefficient of 0.7109428, coupled with a significance level of p < 0.05, signals a substantial connection that cannot be dismissed as mere happenstance. Our findings resonate with prior research that has explored the impact of online content on consumer behavior. The work of Smith et al. highlighted the influence of social media engagement on consumer preferences, shedding light on the potential sway of captivating online material on consumer habits. Similarly, the insights of Doe and Jones underscored the link between engaging DIY science content and audience interest, setting the stage for our investigation into the intriguing interplay between intellectual curiosity and culinary cravings.
While the literature review may have seemed at odds with traditional scholarly discourse, the unorthodox sources provided a flavorful backdrop for our analysis, allowing us to approach the study with a sense of levity and wonder. These whimsical musings, while not grounded in empirical evidence, served as playful reminders of the delightful surprises that often accompany statistical inquiry, encouraging us to embrace the unexpected with open minds and a sprinkling of humor.
The statistically significant correlation uncovered in our study aligns with the lighthearted speculation offered by Munchkin's "The Statistical Sorcery of Sweets" and Enthusiast's "Doughnuts, Data, and Destiny," albeit in a more empirical and rigorous context. As we consider the potential implications of our findings, we are reminded of the cinematic interpretations in "The Statistical Scientist and the Sweet Surprises" and "Doughnut Diaries: A Tale of Tasty Trends," urging us to embrace the serendipitous nature of statistical exploration and remain open to the unexpected connections that may emerge.
In light of the results, it is intriguing to ponder the potential mechanisms underpinning this correlation. Could it be that the visual allure of Rober's scientific experiments triggers a subconscious yearning for a sugary treat, propelling individuals to seek out the nearest Krispy Kreme haven? Or might the consumption of delectable doughnuts stir an intellectual curiosity, leading viewers on a quest for knowledge and discovery? While these speculations may seem fanciful, they offer a playful lens through which to contemplate the interconnected web of human interests and appetites.
In conclusion, our research offers a captivating glimpse into the peculiar yet enchanting relationship between scientific exploration and indulgent delights. As we continue our journey at the intersection of data and doughnuts, we are reminded of the unexpected joy that accompanies statistical inquiry, beckoning us to savor the delightful surprises that await in the world of empirical investigation.
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 Total views on Mark Rober YouTube videos and Krispy Kreme Doughnuts store count in the US. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.
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]]
"Doughnuts and Data: The Correlation between Mark Rober's Views and Krispy Kreme Store Count in the US"
[[ABSTRACT]]
This study delves deep into the sweet and statistical relationship between the total views on Mark Rober's YouTube videos and the count of Krispy Kreme Doughnuts stores across the United States. By utilizing data from YouTube and Statista from 2011 to 2021, our research team uncovered a correlation coefficient of 0.7109428 and p < 0.05, indicating a significant association between these two seemingly unrelated entities. While some may dismiss this as mere coincidence, our findings suggest that there may be more to this correlation than meets the eye. In exploring this quirky connection, we embark on a statistical journey filled with doughnut-related puns and robust data analysis. Join us in uncovering the intriguing relationship between DIY science and delectable doughnuts!
[[INTRDUCTION]]
The world of statistical analysis is often filled with unexpected connections and peculiar correlations. From the relationship between ice cream sales and shark attacks to the link between Nicolas Cage movies and swimming pool drownings, researchers are continually uncovering surprising associations between seemingly unrelated phenomena. In this vein, our study endeavors to explore the peculiar connection between the total views on Mark Rober's captivating YouTube videos and the burgeoning count of Krispy Kreme Doughnuts stores in the United States.
On the surface, the idea of scrutinizing the viewership of a popular DIY science YouTuber alongside the spread of a renowned doughnut chain may seem whimsical, if not utterly absurd. Yet, as we delved into the data spanning the past decade, we were astonished to find a statistically significant correlation between these disparate entities. As the saying goes, "where there's a will, there's a cliché." Nevertheless, we assure our esteemed readers that we approach this investigation with the utmost seriousness, sprinkled with a dash of humor and a pinch of glaze.
The emergence of YouTube as a prominent platform for educational and entertaining content has redefined the landscape of science communication and popularized a new generation of science enthusiasts. Mark Rober, an ex-NASA engineer turned YouTube personality, has amassed a substantial following with his engaging and informative videos on various scientific experiments and engineering feats. Given his penchant for blending humor and ingenuity, Rober has cultivated a dedicated audience eager to partake in his endeavors, much like patrons flocking to a bakery for the latest batch of freshly glazed doughnuts.
Meanwhile, within the gastronomic realm, Krispy Kreme Doughnuts has solidified its status as a beloved purveyor of delectable pastries, enchanting doughnut connoisseurs nationwide with its tantalizing array of sugary treats. It is in this convergence of science and sweetness that our fascination with the potential relationship between Rober's viewership and Krispy Kreme's store count blossomed, akin to a dough rising in the warmth of an oven.
In the following sections of this paper, we embark on an empirical journey, guided by statistical rigor and a passion for uncovering unconventional connections. Our aim is to present a comprehensive analysis that not only elucidates the statistical correlation between these variables but also offers a window into the whimsical world of unintended statistical relationships. As we delve into the data, our study promises to be both enlightening and, dare we say, a little bit sweet.
So, dear reader, fasten your seatbelts, grab a doughnut (or two), and join us on this unlikely statistical expedition as we unravel the enigmatic bond between Mark Rober's YouTube prowess and the doughy allure of Krispy Kreme.
[[RESULTS]]
The statistical analysis unveiled a notable correlation coefficient of 0.7109428 between the total views on Mark Rober's YouTube videos and the count of Krispy Kreme Doughnuts stores in the United States for the time period of 2011 to 2021. The coefficient of determination (r-squared) was 0.5054396, further underscoring the robustness of the association. With a significance level of p < 0.05, the correlation was deemed statistically significant, indicating that this relationship is unlikely to have occurred by mere chance.
In Fig. 1, the scatterplot graphically depicts the strong positive correlation between the two variables, showcasing a trend that could be described as "as the views rise, so do the doughnut shops." The scatterplot illustrates the intuitive notion that as the appeal of Mark Rober's captivating science videos grows, so does the proliferation of Krispy Kreme stores. One might even go so far as to say that the allure of scientific exploration is as captivating as the aroma of freshly baked doughnuts.
The findings of this study not only affirm the presence of a quantifiable statistical relationship between Rober's YouTube viewership and Krispy Kreme's store count but also raise intriguing questions about the potential underlying mechanisms driving this correlation. Could it be that indulging in the mesmerizing scientific experiments showcased in Rober's videos triggers a subconscious craving for a sugary reward in the form of a Krispy Kreme doughnut? Or perhaps the increase in doughnut consumption imparts an insatiable curiosity for Rober's intellectual entertainment, leading to an upward spiral of scientific inquiry and confectionary delight? While such questions may sound whimsical, they offer a lighthearted lens through which to contemplate the enigmatic interplay between these seemingly unrelated phenomena.
In summary, the statistical analysis reveals a compelling correlation between the viewership of Mark Rober's YouTube videos and the proliferation of Krispy Kreme Doughnuts stores in the United States. The unexpected nature of this association offers a tantalizing avenue for further exploration, inviting researchers to delve deeper into the notions of causality and the intertwined influences of science communication and gastronomic indulgence.
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Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, the present study has shed light on the unexpected yet intriguing correlation between the total views on Mark Rober's YouTube videos and the count of Krispy Kreme Doughnuts stores in the United States. The statistically significant correlation coefficient of 0.7109428 and p < 0.05 not only underscores the robustness of this relationship but also serves as a testament to the bizarre yet undeniable connection between DIY science enthusiasm and the allure of delectable doughnuts. This correlation raises thought-provoking questions that tempt the mind, much like the scent of freshly baked pastries tempts the palate.
One cannot help but wonder about the mechanisms underlying this association. Does the visual feast of scientific marvels presented in Rober's videos trigger a hankering for a sugary treat, much like Pavlov's dogs salivating at the sound of a bell? Or perhaps the indulgence in a glazed delight fosters a curiosity for scientific exploration, creating a feedback loop of inquiry and confectionary indulgence. As we ponder these whimsical notions, we are reminded of the words of Albert Einstein, who famously remarked, "The only reason for time is so that everything doesn't happen at once... including science and doughnut cravings."
The findings of this study not only expand our understanding of statistical correlations but also offer a sweet and insightful look into the unanticipated interconnectedness of human preferences and behaviors. The statistical journey we embarked upon has illuminated an enigmatic bond that invites further exploration, much like a tempting box of assorted doughnuts begging to be sampled.
In light of these findings, it is evident that the world of statistical analysis is as unpredictable and delightful as biting into a jelly-filled doughnut - full of surprising bursts of insight and the occasional sprinkle of statistical serendipity. As such, we advocate for future researchers to embrace this sweet statistical conundrum and savor the opportunity to uncover the delectable secrets that lie within. However, for now, we assert with glazed certainty that there's no need for any further research in this area. For now, we've covered the topic as thoroughly as a doughnut in glaze.
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 Doughnuts and Data: The Correlation between Mark Rober's Views and Krispy Kreme Store Count in the US. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Gastronomical Analytics
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 Doughnuts and Data: The Correlation between Mark Rober's Views and Krispy Kreme Store Count in the US. Respond only with the name of a fictional organization.
ChatGPT:
The Institute for Pastry and Popularity 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 Doughnuts and Data: The Correlation between Mark Rober's Views and Krispy Kreme Store Count in the US with an abstract of This study delves deep into the sweet and statistical relationship between the total views on Mark Rober's YouTube videos and the count of Krispy Kreme Doughnuts stores across the United States. By utilizing data from YouTube and Statista from 2011 to 2021, our research team uncovered a correlation coefficient of 0.7109428 and p < 0.05, indicating a significant association between these two seemingly unrelated entities. While some may dismiss this as mere coincidence, our findings suggest that there may be more to this correlation than meets the eye. In exploring this quirky connection, we embark on a statistical journey filled with doughnut-related puns and robust data analysis. Join us in uncovering the intriguing relationship between DIY science and delectable doughnuts!
ChatGPT:
Mark Rober, YouTube views, Krispy Kreme stores, correlation, statistical relationship, data analysis, DIY science, doughnuts, YouTube statistics, Krispy Kreme store count, correlation coefficient, statistical significance, YouTube data, Statista, United States, association, YouTube analytics
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
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Data details
Total views on Mark Rober YouTube videosDetailed data title: Total views on Mark Rober YouTube videos.
Source: YouTube
Additional Info: Current total views of videos released that year.
See what else correlates with Total views on Mark Rober YouTube videos
Krispy Kreme Doughnuts store count in the US
Source: Statista
See what else correlates with Krispy Kreme Doughnuts store count in the US
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 = 0.5054396 (Coefficient of determination)
This means 50.5% of the change in the one variable (i.e., Krispy Kreme Doughnuts store count in the US) is predictable based on the change in the other (i.e., Total views on Mark Rober YouTube videos) over the 11 years from 2011 through 2021.
p < 0.05, which statistically significant(Null hypothesis significance test)
The p-value is 0.014. 0.0141818473856558540000000000
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 0.71 in 1.4% of random cases. Said differently, if you correlated 71 random variables Which I absolutely did.
with the same 10 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 10 because we have two variables measured over a period of 11 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.
[ 0.19, 0.92 ] 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.
2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | |
Total views on Mark Rober YouTube videos (Total views) | 15082900 | 35984000 | 54373700 | 96360200 | 205889000 | 405625000 | 414470000 | 424931000 | 622409000 | 530735000 | 525237000 |
Krispy Kreme Doughnuts store count in the US (Number of Stores) | 230 | 239 | 253 | 0 | 294 | 307 | 316 | 355 | 364 | 365 | 373 |
Why this works
- Data dredging: I have 25,237 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 636,906,169 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
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
Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is.
Try it yourself
You can calculate the values on this page on your own! Try running the Python code to see the calculation results. Step 1: Download and install Python on your computer.Step 2: Open a plaintext editor like Notepad and paste the code below into it.
Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"
Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.
Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.
Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.
Step 7: Run the Python script by typing "python calculate_correlation.py"
If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:
"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."
# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats
# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):
# Calculate Pearson correlation coefficient and p-value
correlation, p_value = stats.pearsonr(array1, array2)
# Calculate R-squared as the square of the correlation coefficient
r_squared = correlation**2
return correlation, r_squared, p_value
# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([15082900,35984000,54373700,96360200,205889000,405625000,414470000,424931000,622409000,530735000,525237000,])
array_2 = np.array([230,239,253,0,294,307,316,355,364,365,373,])
array_1_name = "Total views on Mark Rober YouTube videos"
array_2_name = "Krispy Kreme Doughnuts store count in the US"
# 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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You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.
For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."
When spoken, my last name is pronounced "vegan," like I don't eat meat.
Full license details.
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Download images for these variables:
- High resolution line chart
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 Total views on Mark Rober YouTube videos
- Line chart for only Krispy Kreme Doughnuts store count in the US
- AI-generated correlation image
- The spurious research paper: Doughnuts and Data: The Correlation between Mark Rober's Views and Krispy Kreme Store Count in the US
Your dedication to rating warms my heart!
Correlation ID: 5611 · Black Variable ID: 25581 · Red Variable ID: 416