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AI explanation
The 'drake' meme led to more people saying "No" to Chrysler's vehicles, causing a surge in automotive recalls as the cars grappled with an existential crisis of being liked. Remember, even cars have feelings, and sometimes they just need a little 'Wheel' therapy!
Create a meme inspired by the drake meme that in some way references Automotive recalls issued by Chrysler. Try to emulate the style of the meme - don’t violate the copyright, just make it look and feel like the original meme.
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 Popularity of the 'drake' meme caused Automotive recalls issued by Chrysler to increase. Add a funny one-liner at the end.
AI academic paper
 |
Stopping the Recall: An Unforgettable Connection between 'Drake' Meme Popularity and Automotive Woes at Chrysler Journal of Memetic Engineering 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 Popularity of the 'drake' meme and Automotive recalls issued by Chrysler. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Make the title a clever pun.
Your research team used data from Google Trends and US DOT to assess this nagging question. You found a correlation coefficient of 0.9057610 and p < 0.01 for 2006 to 2022.
Please respond in this format (replace "Lorem ipsum dolor sit" with your title and abstract)
[[TITLE]]
Lorem ipsum dolor sit
[[ABSTRACT]]
Lorem ipsum dolor sit
ChatGPT:
[[TITLE]]
"Stopping the Recall: An Unforgettable Connection between 'Drake' Meme Popularity and Automotive Woes at Chrysler"
[[ABSTRACT]]
This study delves into the unexpected relationship between the rise of the 'drake' meme and the issuance of automotive recalls by Chrysler. Utilizing data from Google Trends and the US Department of Transportation, our research team mechanically examined this unusual linkage, hoping to rev up the understanding of automotive recalls. Our findings revealed a remarkable correlation coefficient of 0.9057610 and a statistically significant p-value of less than 0.01 for the time span between 2006 and 2022. This correlation, much like a bad car pun, certainly drives home the intriguing nature of this seemingly disparate connection.
Our results suggest that as the 'drake' meme gained traction in pop culture, Chrysler faced an increase in automotive recalls, sparking humorously unexpected parallelisms between internet memes and automotive challenges. Notably, this correlation has provoked a blend of surprise and amusement in our research team, as if a dad joke were told while trying to understand automotive trends. While the reasons behind this correlation are yet to be exhaustively explored, our research provides a humorous twist to the serious world of automotive recalls, reminding us that even statistical analyses can have their fair share of playful surprises, much like a good dad joke.
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 Popularity of the 'drake' meme and Automotive recalls issued by Chrysler. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Here is the title and abstract of the paper:
[[TITLE]]
"Stopping the Recall: An Unforgettable Connection between 'Drake' Meme Popularity and Automotive Woes at Chrysler"
[[ABSTRACT]]
This study delves into the unexpected relationship between the rise of the 'drake' meme and the issuance of automotive recalls by Chrysler. Utilizing data from Google Trends and the US Department of Transportation, our research team mechanically examined this unusual linkage, hoping to rev up the understanding of automotive recalls. Our findings revealed a remarkable correlation coefficient of 0.9057610 and a statistically significant p-value of less than 0.01 for the time span between 2006 and 2022. This correlation, much like a bad car pun, certainly drives home the intriguing nature of this seemingly disparate connection.
Our results suggest that as the 'drake' meme gained traction in pop culture, Chrysler faced an increase in automotive recalls, sparking humorously unexpected parallelisms between internet memes and automotive challenges. Notably, this correlation has provoked a blend of surprise and amusement in our research team, as if a dad joke were told while trying to understand automotive trends. While the reasons behind this correlation are yet to be exhaustively explored, our research provides a humorous twist to the serious world of automotive recalls, reminding us that even statistical analyses can have their fair share of playful surprises, much like a good dad joke.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
In the ever-evolving landscape of internet culture, memes have become a prominent form of communication, often transcending their seemingly trivial nature to influence various aspects of society, from politics to entertainment. However, who could have foreseen the peculiar bond between the rise of the 'drake' meme and the automotive tribulations at Chrysler? It's almost as unexpected as the look on a dad's face when he's asked for a loan to buy a new car.
As the 'drake' meme gained notoriety in the digital sphere, it became clear that its impact extended beyond the realm of social media. Similarly, the mounting number of automotive recalls issued by Chrysler has garnered attention, raising eyebrows and prompting quizzical expressions akin to the ones dads make when trying to fix a squeaky car door. This engaging puzzle led our research team to delve into the confluence of these seemingly divergent phenomena.
The automotive industry, much like a family road trip, is not without its bumps and detours. Automotive recalls, in particular, have been a persistent issue, with wide-ranging implications for both consumer safety and industry reputation. As we honed in on the data, it became evident that our findings would not only shine a light on this unexpected correlation, but also infuse a dash of humor into the traditionally serious discussions within the domain of automotive research. Much like a trusty roadside cafe offering coffee and dad jokes, our study sets out to provide both insight and levity.
Unraveling the connection between the 'drake' meme and Chrysler's automotive recalls presented a unique opportunity to marry the worlds of internet culture and industry challenges. It's akin to the unexpected laughter that ensues when a dad dabbles in the world of memes and realizes he's accidentally created a viral sensation. Through meticulous statistical analysis, we aimed to capture the essence of this unlikely relationship, pausing along the way to appreciate the unexpected humor of statistical serendipity.
Our research endeavors to inject a lighthearted yet informative perspective into the discourse surrounding automotive recalls and their unexpected connection to digital trends. Just as a well-timed dad joke can elicit laughter in the most unexpected moments, we hope that our findings will provoke amusement while adding a fresh dimension to the understanding of automotive challenges.
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 Popularity of the 'drake' meme and Automotive recalls issued by Chrysler. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.
Make up the lorem and ipsum part, but make it sound related to the topic at hand.
Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then you might move on to cartoons and children's shows that you watched for research.
Here is the title and abstract of the paper:
[[TITLE]]
"Stopping the Recall: An Unforgettable Connection between 'Drake' Meme Popularity and Automotive Woes at Chrysler"
[[ABSTRACT]]
This study delves into the unexpected relationship between the rise of the 'drake' meme and the issuance of automotive recalls by Chrysler. Utilizing data from Google Trends and the US Department of Transportation, our research team mechanically examined this unusual linkage, hoping to rev up the understanding of automotive recalls. Our findings revealed a remarkable correlation coefficient of 0.9057610 and a statistically significant p-value of less than 0.01 for the time span between 2006 and 2022. This correlation, much like a bad car pun, certainly drives home the intriguing nature of this seemingly disparate connection.
Our results suggest that as the 'drake' meme gained traction in pop culture, Chrysler faced an increase in automotive recalls, sparking humorously unexpected parallelisms between internet memes and automotive challenges. Notably, this correlation has provoked a blend of surprise and amusement in our research team, as if a dad joke were told while trying to understand automotive trends. While the reasons behind this correlation are yet to be exhaustively explored, our research provides a humorous twist to the serious world of automotive recalls, reminding us that even statistical analyses can have their fair share of playful surprises, much like a good dad joke.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
In the ever-evolving landscape of internet culture, memes have become a prominent form of communication, often transcending their seemingly trivial nature to influence various aspects of society, from politics to entertainment. However, who could have foreseen the peculiar bond between the rise of the 'drake' meme and the automotive tribulations at Chrysler? It's almost as unexpected as the look on a dad's face when he's asked for a loan to buy a new car.
As the 'drake' meme gained notoriety in the digital sphere, it became clear that its impact extended beyond the realm of social media. Similarly, the mounting number of automotive recalls issued by Chrysler has garnered attention, raising eyebrows and prompting quizzical expressions akin to the ones dads make when trying to fix a squeaky car door. This engaging puzzle led our research team to delve into the confluence of these seemingly divergent phenomena.
The automotive industry, much like a family road trip, is not without its bumps and detours. Automotive recalls, in particular, have been a persistent issue, with wide-ranging implications for both consumer safety and industry reputation. As we honed in on the data, it became evident that our findings would not only shine a light on this unexpected correlation, but also infuse a dash of humor into the traditionally serious discussions within the domain of automotive research. Much like a trusty roadside cafe offering coffee and dad jokes, our study sets out to provide both insight and levity.
Unraveling the connection between the 'drake' meme and Chrysler's automotive recalls presented a unique opportunity to marry the worlds of internet culture and industry challenges. It's akin to the unexpected laughter that ensues when a dad dabbles in the world of memes and realizes he's accidentally created a viral sensation. Through meticulous statistical analysis, we aimed to capture the essence of this unlikely relationship, pausing along the way to appreciate the unexpected humor of statistical serendipity.
Our research endeavors to inject a lighthearted yet informative perspective into the discourse surrounding automotive recalls and their unexpected connection to digital trends. Just as a well-timed dad joke can elicit laughter in the most unexpected moments, we hope that our findings will provoke amusement while adding a fresh dimension to the understanding of automotive challenges.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
In their comprehensive study, Smith and Doe (2018) examined the correlation between internet memes and societal trends, shedding light on the pervasive influence of digital culture on various aspects of contemporary life. Similarly, Jones (2020) analyzed the implications of automotive recalls on consumer behavior and industry dynamics, offering valuable insights into the multifaceted nature of automotive challenges. As we delve into the unexpected relationship between the 'drake' meme popularity and Chrysler's automotive woes, we are reminded of the time when the car told a dad joke — it was wheely funny!
Turning to non-fiction literature, "The Tipping Point" by Malcolm Gladwell provides a compelling examination of how ideas and trends reach a critical mass, serving as an apt backdrop to the viral nature of internet memes and their potential impact on industry dynamics. Additionally, "Freakonomics" by Steven D. Levitt and Stephen J. Dubner explores the unexpected connections in seemingly disparate phenomena, echoing the spirit of our investigation into the unusual association between internet culture and automotive challenges.
On the fictional front, the works of Michael Crichton, such as "Airframe" and "Car," offer thrilling narratives that intertwine technology and transportation, albeit in fictional realms. These compelling tales serve as a reminder of the captivating intrigue that surrounds automotive and technological themes, much like a good mystery novel that leaves you in stitches.
In an unconventional turn, we draw inspiration from children's cartoons and shows to unravel the uncanny correlation between the 'drake' meme and automotive recalls. The whimsical world of "The Magic School Bus" and "Scooby-Doo" serves as a lighthearted backdrop to our exploration, reminding us that even the most unexpected connections can be a source of entertainment and amusement. It's almost as surprising as when a dad tries to impress his kids with his knowledge of internet memes, only to realize that the memes have already surpassed his expertise.
Weaving together the strands of internet culture, automotive challenges, and statistical analysis, our literature review embraces the unexpected and the humorous, much like a dad joke that catches you off guard. This playful approach serves as a reminder that research, much like a dad's repertoire of puns, can often bring unexpected joy and laughter to the most serious of topics.
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 Popularity of the 'drake' meme and Automotive recalls issued by Chrysler. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Your research team collected data from all across the internet, but mostly just used information from Google Trends and US DOT . You used data from 2006 to 2022
Make up the research methods you don't know. Make them a bit goofy and convoluted.
Here is the title, abstract, and introduction of the paper:
[[TITLE]]
"Stopping the Recall: An Unforgettable Connection between 'Drake' Meme Popularity and Automotive Woes at Chrysler"
[[ABSTRACT]]
This study delves into the unexpected relationship between the rise of the 'drake' meme and the issuance of automotive recalls by Chrysler. Utilizing data from Google Trends and the US Department of Transportation, our research team mechanically examined this unusual linkage, hoping to rev up the understanding of automotive recalls. Our findings revealed a remarkable correlation coefficient of 0.9057610 and a statistically significant p-value of less than 0.01 for the time span between 2006 and 2022. This correlation, much like a bad car pun, certainly drives home the intriguing nature of this seemingly disparate connection.
Our results suggest that as the 'drake' meme gained traction in pop culture, Chrysler faced an increase in automotive recalls, sparking humorously unexpected parallelisms between internet memes and automotive challenges. Notably, this correlation has provoked a blend of surprise and amusement in our research team, as if a dad joke were told while trying to understand automotive trends. While the reasons behind this correlation are yet to be exhaustively explored, our research provides a humorous twist to the serious world of automotive recalls, reminding us that even statistical analyses can have their fair share of playful surprises, much like a good dad joke.
[[INTRODUCTION]]
In the ever-evolving landscape of internet culture, memes have become a prominent form of communication, often transcending their seemingly trivial nature to influence various aspects of society, from politics to entertainment. However, who could have foreseen the peculiar bond between the rise of the 'drake' meme and the automotive tribulations at Chrysler? It's almost as unexpected as the look on a dad's face when he's asked for a loan to buy a new car.
As the 'drake' meme gained notoriety in the digital sphere, it became clear that its impact extended beyond the realm of social media. Similarly, the mounting number of automotive recalls issued by Chrysler has garnered attention, raising eyebrows and prompting quizzical expressions akin to the ones dads make when trying to fix a squeaky car door. This engaging puzzle led our research team to delve into the confluence of these seemingly divergent phenomena.
The automotive industry, much like a family road trip, is not without its bumps and detours. Automotive recalls, in particular, have been a persistent issue, with wide-ranging implications for both consumer safety and industry reputation. As we honed in on the data, it became evident that our findings would not only shine a light on this unexpected correlation, but also infuse a dash of humor into the traditionally serious discussions within the domain of automotive research. Much like a trusty roadside cafe offering coffee and dad jokes, our study sets out to provide both insight and levity.
Unraveling the connection between the 'drake' meme and Chrysler's automotive recalls presented a unique opportunity to marry the worlds of internet culture and industry challenges. It's akin to the unexpected laughter that ensues when a dad dabbles in the world of memes and realizes he's accidentally created a viral sensation. Through meticulous statistical analysis, we aimed to capture the essence of this unlikely relationship, pausing along the way to appreciate the unexpected humor of statistical serendipity.
Our research endeavors to inject a lighthearted yet informative perspective into the discourse surrounding automotive recalls and their unexpected connection to digital trends. Just as a well-timed dad joke can elicit laughter in the most unexpected moments, we hope that our findings will provoke amusement while adding a fresh dimension to the understanding of automotive challenges.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To untangle the intriguing correlation between the 'drake' meme popularity and the issuance of automotive recalls by Chrysler, our research team employed a blend of quantitative and internet-based methodologies. Our data collection process began with a deep dive into Google Trends, where we meticulously extracted and analyzed the search interest in the 'drake' meme from 2006 to 2022. This involved sifting through internet memes much like a treasure hunt, with the occasional unexpected “pun-zi” scheme waiting to be discovered.
Simultaneously, we utilized the database of the US Department of Transportation to gather comprehensive information on automotive recalls issued by Chrysler during the same period. The assembly and verification of this data demanded attention to detail akin to a meticulous car restoration, with the added excitement of uncovering quirky correlations like stumbling upon a particularly good dad joke at the right moment.
After consolidating the data from both sources, we employed a quirky yet effective statistical method involving non-linear regression analysis. This algorithm, affectionately dubbed the "Meme-Mobile Regression Model," was custom-built by our team to examine the relationship between 'drake' meme popularity and Chrysler's automotive recalls. The model's performance was monitored closely, much like maintaining a classic car, to ensure that it accurately captured the essence of this unexpected correlation with the precision of a dad telling a perfectly timed joke.
Our statistical approach also included the computation of the correlation coefficient and associated p-value, which served as key indicators of the strength and significance of the observed relationship. These calculations were executed with the thoroughness of a dad checking his car’s tire pressure before a long journey, ensuring that our results would stand up to the rigorous scrutiny of the academic community.
To further understand the nuances of this unlikely bond, we conducted a sentiment analysis of online discussions surrounding the 'drake' meme and Chrysler’s automotive recalls. This involved parsing through diverse internet forums and social media platforms to gauge public perceptions, much like eavesdropping on a group of dads sharing their favorite dad jokes at a family barbecue.
The combination of these methods facilitated a comprehensive investigation into the unexpected intersection of internet meme culture and automotive industry challenges, bringing to light a humorous yet thought-provoking connection worthy of a well-timed dad joke.
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 Popularity of the 'drake' meme and Automotive recalls issued by Chrysler. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Your research team collected data from all across the internet, but mostly just used information from Google Trends and US DOT .
For the time period 2006 to 2022, you found a correlation 0.9057610, r-squared of 0.8204031, 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]]
"Stopping the Recall: An Unforgettable Connection between 'Drake' Meme Popularity and Automotive Woes at Chrysler"
[[ABSTRACT]]
This study delves into the unexpected relationship between the rise of the 'drake' meme and the issuance of automotive recalls by Chrysler. Utilizing data from Google Trends and the US Department of Transportation, our research team mechanically examined this unusual linkage, hoping to rev up the understanding of automotive recalls. Our findings revealed a remarkable correlation coefficient of 0.9057610 and a statistically significant p-value of less than 0.01 for the time span between 2006 and 2022. This correlation, much like a bad car pun, certainly drives home the intriguing nature of this seemingly disparate connection.
Our results suggest that as the 'drake' meme gained traction in pop culture, Chrysler faced an increase in automotive recalls, sparking humorously unexpected parallelisms between internet memes and automotive challenges. Notably, this correlation has provoked a blend of surprise and amusement in our research team, as if a dad joke were told while trying to understand automotive trends. While the reasons behind this correlation are yet to be exhaustively explored, our research provides a humorous twist to the serious world of automotive recalls, reminding us that even statistical analyses can have their fair share of playful surprises, much like a good dad joke.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
In the ever-evolving landscape of internet culture, memes have become a prominent form of communication, often transcending their seemingly trivial nature to influence various aspects of society, from politics to entertainment. However, who could have foreseen the peculiar bond between the rise of the 'drake' meme and the automotive tribulations at Chrysler? It's almost as unexpected as the look on a dad's face when he's asked for a loan to buy a new car.
As the 'drake' meme gained notoriety in the digital sphere, it became clear that its impact extended beyond the realm of social media. Similarly, the mounting number of automotive recalls issued by Chrysler has garnered attention, raising eyebrows and prompting quizzical expressions akin to the ones dads make when trying to fix a squeaky car door. This engaging puzzle led our research team to delve into the confluence of these seemingly divergent phenomena.
The automotive industry, much like a family road trip, is not without its bumps and detours. Automotive recalls, in particular, have been a persistent issue, with wide-ranging implications for both consumer safety and industry reputation. As we honed in on the data, it became evident that our findings would not only shine a light on this unexpected correlation, but also infuse a dash of humor into the traditionally serious discussions within the domain of automotive research. Much like a trusty roadside cafe offering coffee and dad jokes, our study sets out to provide both insight and levity.
Unraveling the connection between the 'drake' meme and Chrysler's automotive recalls presented a unique opportunity to marry the worlds of internet culture and industry challenges. It's akin to the unexpected laughter that ensues when a dad dabbles in the world of memes and realizes he's accidentally created a viral sensation. Through meticulous statistical analysis, we aimed to capture the essence of this unlikely relationship, pausing along the way to appreciate the unexpected humor of statistical serendipity.
Our research endeavors to inject a lighthearted yet informative perspective into the discourse surrounding automotive recalls and their unexpected connection to digital trends. Just as a well-timed dad joke can elicit laughter in the most unexpected moments, we hope that our findings will provoke amusement while adding a fresh dimension to the understanding of automotive challenges.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
Our statistical analysis unveiled a striking correlation between the popularity of the 'drake' meme and the issuance of automotive recalls by Chrysler. The correlation coefficient of 0.9057610 highlights a remarkably strong relationship between these seemingly unrelated phenomena, akin to the surprising connection between a car and its punny vanity plate. Additionally, the r-squared value of 0.8204031 indicates that approximately 82% of the variability in automotive recalls by Chrysler can be explained by the fluctuations in 'drake' meme popularity, leaving just enough room for statistical mischief to keep us on our toes.
The p-value of less than 0.01 further solidifies the significance of this correlation, leaving little room for doubt that the bond between the 'drake' meme and automotive recalls at Chrysler is more than just a statistical fluke; it's like hearing a dad joke and realizing it's actually clever wordplay.
Fig. 1 provides a visual representation of this correlation, depicting a scatterplot that unmistakably showcases the strong and unexpected relationship between 'drake' meme popularity and automotive recalls issued by Chrysler. It's like seeing a car pull up with a bumper sticker that perfectly captures the essence of an internet meme; unexpected, yet undeniably fitting.
This empirical evidence, much like a well-timed dad joke, not only surprised our research team but also highlighted the unpredictable and humorous facets of data analysis. The findings demonstrate the unanticipated parallels between internet culture and automotive challenges, adding a dash of levity to the traditionally serious conversation about automotive recalls, much like a dad's cheesy one-liner during a game of car bingo at a rest stop.
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 Popularity of the 'drake' meme and Automotive recalls issued by Chrysler. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
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]]
"Stopping the Recall: An Unforgettable Connection between 'Drake' Meme Popularity and Automotive Woes at Chrysler"
[[ABSTRACT]]
This study delves into the unexpected relationship between the rise of the 'drake' meme and the issuance of automotive recalls by Chrysler. Utilizing data from Google Trends and the US Department of Transportation, our research team mechanically examined this unusual linkage, hoping to rev up the understanding of automotive recalls. Our findings revealed a remarkable correlation coefficient of 0.9057610 and a statistically significant p-value of less than 0.01 for the time span between 2006 and 2022. This correlation, much like a bad car pun, certainly drives home the intriguing nature of this seemingly disparate connection.
Our results suggest that as the 'drake' meme gained traction in pop culture, Chrysler faced an increase in automotive recalls, sparking humorously unexpected parallelisms between internet memes and automotive challenges. Notably, this correlation has provoked a blend of surprise and amusement in our research team, as if a dad joke were told while trying to understand automotive trends. While the reasons behind this correlation are yet to be exhaustively explored, our research provides a humorous twist to the serious world of automotive recalls, reminding us that even statistical analyses can have their fair share of playful surprises, much like a good dad joke.
[[LITERATURE REVIEW]]
In their comprehensive study, Smith and Doe (2018) examined the correlation between internet memes and societal trends, shedding light on the pervasive influence of digital culture on various aspects of contemporary life. Similarly, Jones (2020) analyzed the implications of automotive recalls on consumer behavior and industry dynamics, offering valuable insights into the multifaceted nature of automotive challenges. As we delve into the unexpected relationship between the 'drake' meme popularity and Chrysler's automotive woes, we are reminded of the time when the car told a dad joke — it was wheely funny!
Turning to non-fiction literature, "The Tipping Point" by Malcolm Gladwell provides a compelling examination of how ideas and trends reach a critical mass, serving as an apt backdrop to the viral nature of internet memes and their potential impact on industry dynamics. Additionally, "Freakonomics" by Steven D. Levitt and Stephen J. Dubner explores the unexpected connections in seemingly disparate phenomena, echoing the spirit of our investigation into the unusual association between internet culture and automotive challenges.
On the fictional front, the works of Michael Crichton, such as "Airframe" and "Car," offer thrilling narratives that intertwine technology and transportation, albeit in fictional realms. These compelling tales serve as a reminder of the captivating intrigue that surrounds automotive and technological themes, much like a good mystery novel that leaves you in stitches.
In an unconventional turn, we draw inspiration from children's cartoons and shows to unravel the uncanny correlation between the 'drake' meme and automotive recalls. The whimsical world of "The Magic School Bus" and "Scooby-Doo" serves as a lighthearted backdrop to our exploration, reminding us that even the most unexpected connections can be a source of entertainment and amusement. It's almost as surprising as when a dad tries to impress his kids with his knowledge of internet memes, only to realize that the memes have already surpassed his expertise.
Weaving together the strands of internet culture, automotive challenges, and statistical analysis, our literature review embraces the unexpected and the humorous, much like a dad joke that catches you off guard. This playful approach serves as a reminder that research, much like a dad's repertoire of puns, can often bring unexpected joy and laughter to the most serious of topics.
[[RESULTS]]
Our statistical analysis unveiled a striking correlation between the popularity of the 'drake' meme and the issuance of automotive recalls by Chrysler. The correlation coefficient of 0.9057610 highlights a remarkably strong relationship between these seemingly unrelated phenomena, akin to the surprising connection between a car and its punny vanity plate. Additionally, the r-squared value of 0.8204031 indicates that approximately 82% of the variability in automotive recalls by Chrysler can be explained by the fluctuations in 'drake' meme popularity, leaving just enough room for statistical mischief to keep us on our toes.
The p-value of less than 0.01 further solidifies the significance of this correlation, leaving little room for doubt that the bond between the 'drake' meme and automotive recalls at Chrysler is more than just a statistical fluke; it's like hearing a dad joke and realizing it's actually clever wordplay.
Fig. 1 provides a visual representation of this correlation, depicting a scatterplot that unmistakably showcases the strong and unexpected relationship between 'drake' meme popularity and automotive recalls issued by Chrysler. It's like seeing a car pull up with a bumper sticker that perfectly captures the essence of an internet meme; unexpected, yet undeniably fitting.
This empirical evidence, much like a well-timed dad joke, not only surprised our research team but also highlighted the unpredictable and humorous facets of data analysis. The findings demonstrate the unanticipated parallels between internet culture and automotive challenges, adding a dash of levity to the traditionally serious conversation about automotive recalls, much like a dad's cheesy one-liner during a game of car bingo at a rest stop.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
Our findings have indeed driven home a remarkably strong and statistically significant correlation between the popularity of the 'drake' meme and the issuance of automotive recalls by Chrysler, lending empirical support to the whimsical hypothesis that 'drake' memes and automotive malfunctions share a surprising synchrony. This correlation, much like an unexpected pun, not only defies conventional wisdom but also invites a chuckle at the peculiar nature of statistical relationships in the age of internet culture and automotive industry.
The strong correlation coefficient of 0.9057610 and the p-value of less than 0.01 align with the earlier work of Smith and Doe (2018), who highlighted the pervasive influence of internet memes on societal trends. This finding reinforces the notion that digital culture, much like a well-timed dad joke, can wield unexpected influence in realms beyond the virtual, extending its unintended humor to the automotive industry.
Furthermore, our results echo the insights of "The Tipping Point" by Malcolm Gladwell, as the rise of the 'drake' meme appears to have reached a critical mass, triggering a parallel uptick in automotive recalls. The unexpected convergence of these phenomena, reminiscent of a dad joke that takes a surprising turn, underscores the intricate interplay between cultural memes and industry dynamics, challenging traditional notions of cause and effect in the automotive realm.
Additionally, our research provides a light-hearted nod to "The Magic School Bus" and "Scooby-Doo," underscoring the whimsical aspect of unexpected connections in seemingly disparate phenomena. This playful twist, akin to the punchline of a clever dad joke, infuses the serious world of statistical analysis with a sense of amusement and reminds us that even the most unlikely associations can spark unexpected joy and laughter.
As we continue to unpack the entangled web of internet culture and automotive challenges, our findings lend credence to the notion put forth by Levitt and Dubner in "Freakonomics," where they explore the unanticipated connections in ostensibly unrelated phenomena. The unexpected relationship we uncovered, much like a clever dad joke, serves as a delightful reminder that statistical analyses can offer surprising insights that not only challenge preconceived notions but also entertain and provoke a good-natured smile.
In a world where data analysis is often marked by seriousness and rigor, our research adds a touch of levity and unexpected amusement to the discourse around automotive recalls, much like a dad's wry quip during a long road trip. Our study underscores the delightful and unconventional nature of statistical investigation, highlighting that even the most serious of topics can carry an unexpected comedic flair, much like a good dad joke that leaves everyone pleasantly surprised.
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 Popularity of the 'drake' meme and Automotive recalls issued by Chrysler. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
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]]
"Stopping the Recall: An Unforgettable Connection between 'Drake' Meme Popularity and Automotive Woes at Chrysler"
[[ABSTRACT]]
This study delves into the unexpected relationship between the rise of the 'drake' meme and the issuance of automotive recalls by Chrysler. Utilizing data from Google Trends and the US Department of Transportation, our research team mechanically examined this unusual linkage, hoping to rev up the understanding of automotive recalls. Our findings revealed a remarkable correlation coefficient of 0.9057610 and a statistically significant p-value of less than 0.01 for the time span between 2006 and 2022. This correlation, much like a bad car pun, certainly drives home the intriguing nature of this seemingly disparate connection.
Our results suggest that as the 'drake' meme gained traction in pop culture, Chrysler faced an increase in automotive recalls, sparking humorously unexpected parallelisms between internet memes and automotive challenges. Notably, this correlation has provoked a blend of surprise and amusement in our research team, as if a dad joke were told while trying to understand automotive trends. While the reasons behind this correlation are yet to be exhaustively explored, our research provides a humorous twist to the serious world of automotive recalls, reminding us that even statistical analyses can have their fair share of playful surprises, much like a good dad joke.
[[INTRDUCTION]]
In the ever-evolving landscape of internet culture, memes have become a prominent form of communication, often transcending their seemingly trivial nature to influence various aspects of society, from politics to entertainment. However, who could have foreseen the peculiar bond between the rise of the 'drake' meme and the automotive tribulations at Chrysler? It's almost as unexpected as the look on a dad's face when he's asked for a loan to buy a new car.
As the 'drake' meme gained notoriety in the digital sphere, it became clear that its impact extended beyond the realm of social media. Similarly, the mounting number of automotive recalls issued by Chrysler has garnered attention, raising eyebrows and prompting quizzical expressions akin to the ones dads make when trying to fix a squeaky car door. This engaging puzzle led our research team to delve into the confluence of these seemingly divergent phenomena.
The automotive industry, much like a family road trip, is not without its bumps and detours. Automotive recalls, in particular, have been a persistent issue, with wide-ranging implications for both consumer safety and industry reputation. As we honed in on the data, it became evident that our findings would not only shine a light on this unexpected correlation, but also infuse a dash of humor into the traditionally serious discussions within the domain of automotive research. Much like a trusty roadside cafe offering coffee and dad jokes, our study sets out to provide both insight and levity.
Unraveling the connection between the 'drake' meme and Chrysler's automotive recalls presented a unique opportunity to marry the worlds of internet culture and industry challenges. It's akin to the unexpected laughter that ensues when a dad dabbles in the world of memes and realizes he's accidentally created a viral sensation. Through meticulous statistical analysis, we aimed to capture the essence of this unlikely relationship, pausing along the way to appreciate the unexpected humor of statistical serendipity.
Our research endeavors to inject a lighthearted yet informative perspective into the discourse surrounding automotive recalls and their unexpected connection to digital trends. Just as a well-timed dad joke can elicit laughter in the most unexpected moments, we hope that our findings will provoke amusement while adding a fresh dimension to the understanding of automotive challenges.
[[RESULTS]]
Our statistical analysis unveiled a striking correlation between the popularity of the 'drake' meme and the issuance of automotive recalls by Chrysler. The correlation coefficient of 0.9057610 highlights a remarkably strong relationship between these seemingly unrelated phenomena, akin to the surprising connection between a car and its punny vanity plate. Additionally, the r-squared value of 0.8204031 indicates that approximately 82% of the variability in automotive recalls by Chrysler can be explained by the fluctuations in 'drake' meme popularity, leaving just enough room for statistical mischief to keep us on our toes.
The p-value of less than 0.01 further solidifies the significance of this correlation, leaving little room for doubt that the bond between the 'drake' meme and automotive recalls at Chrysler is more than just a statistical fluke; it's like hearing a dad joke and realizing it's actually clever wordplay.
Fig. 1 provides a visual representation of this correlation, depicting a scatterplot that unmistakably showcases the strong and unexpected relationship between 'drake' meme popularity and automotive recalls issued by Chrysler. It's like seeing a car pull up with a bumper sticker that perfectly captures the essence of an internet meme; unexpected, yet undeniably fitting.
This empirical evidence, much like a well-timed dad joke, not only surprised our research team but also highlighted the unpredictable and humorous facets of data analysis. The findings demonstrate the unanticipated parallels between internet culture and automotive challenges, adding a dash of levity to the traditionally serious conversation about automotive recalls, much like a dad's cheesy one-liner during a game of car bingo at a rest stop.
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In closing, our research has uncovered a compelling correlation between the rise of the 'drake' meme and the frequency of automotive recalls issued by Chrysler. The statistical evidence, much like a punctured tire, simply can't be ignored. As it turns out, the meme's popularity has been inversely proportional to Chrysler's automotive fortunes, creating a juxtaposition that's as surprising as finding a spare tire in a classic car's trunk.
While this correlation may seem as unexpected as a convertible cruising through a snowstorm, our findings underscore the importance of acknowledging the evolving influence of internet culture on seemingly unrelated industries. No one could have predicted that a meme and automotive recalls would form a duo as noteworthy as a dad and his trusty wrench.
Therefore, in the spirit of lightheartedness and statistical enlightenment, we contend that no further research is needed in this area. We've already driven home the point that memes and automotive woes are not as unrelated as they initially seem. And as any dad would tell you, once you've reached your destination, there's no need to keep spinning your wheels.
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 Stopping the Recall: An Unforgettable Connection between 'Drake' Meme Popularity and Automotive Woes at Chrysler. Respond only with the name of a fictional academic journal.
ChatGPT:
Journal of Memetic Engineering
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 Stopping the Recall: An Unforgettable Connection between 'Drake' Meme Popularity and Automotive Woes at Chrysler. Respond only with the name of a fictional organization.
ChatGPT:
The Society for Internet Culture and Automotive Research (SICAR)
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 Stopping the Recall: An Unforgettable Connection between 'Drake' Meme Popularity and Automotive Woes at Chrysler with an abstract of This study delves into the unexpected relationship between the rise of the 'drake' meme and the issuance of automotive recalls by Chrysler. Utilizing data from Google Trends and the US Department of Transportation, our research team mechanically examined this unusual linkage, hoping to rev up the understanding of automotive recalls. Our findings revealed a remarkable correlation coefficient of 0.9057610 and a statistically significant p-value of less than 0.01 for the time span between 2006 and 2022. This correlation, much like a bad car pun, certainly drives home the intriguing nature of this seemingly disparate connection.
Our results suggest that as the 'drake' meme gained traction in pop culture, Chrysler faced an increase in automotive recalls, sparking humorously unexpected parallelisms between internet memes and automotive challenges. Notably, this correlation has provoked a blend of surprise and amusement in our research team, as if a dad joke were told while trying to understand automotive trends. While the reasons behind this correlation are yet to be exhaustively explored, our research provides a humorous twist to the serious world of automotive recalls, reminding us that even statistical analyses can have their fair share of playful surprises, much like a good dad joke.
ChatGPT:
'drake meme', automotive recalls, Chrysler, Google Trends, US Department of Transportation, correlation coefficient, statistical significance, internet memes, pop culture, automotive challenges, humor, statistical analysis, automotive trends, dad jokes
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
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Data details
Popularity of the 'drake' memeDetailed data title: Relative volume of Google searches for 'drake meme' (without quotes, in the United States)
Source: Google Trends
Additional Info: Relative search volume is a unique Google thing; the shape of the chart is accurate but the actual numbers are meaningless.
See what else correlates with Popularity of the 'drake' meme
Automotive recalls issued by Chrysler
Detailed data title: Automotive recals issued by Chrysler
Source: US DOT
See what else correlates with Automotive recalls issued by Chrysler
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 = 0.8204031 (Coefficient of determination)
This means 82% of the change in the one variable (i.e., Automotive recalls issued by Chrysler) is predictable based on the change in the other (i.e., Popularity of the 'drake' meme) over the 17 years from 2006 through 2022.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 5.6E-7. 0.0000005642181702573284000000
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 0.91 in 5.6E-5% of random cases. Said differently, if you correlated 1,772,364 random variables You don't actually need 1 million variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.
p-value calculations are useful for understanding the probability of a result happening by chance. They are most useful when used to highlight the risk of a fluke outcome. For example, if you calculate a p-value of 0.30, the risk that the result is a fluke is high. It is good to know that! But there are lots of ways to get a p-value of less than 0.01, as evidenced by this project.
In this particular case, the values are so extreme as to be meaningless. That's why no one reports p-values with specificity after they drop below 0.01.
Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 16 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 16 because we have two variables measured over a period of 17 years. It's just the number of years minus ( the number of variables minus one ), which in this case simplifies to the number of years minus one.
you would randomly expect to find a correlation as strong as this one.
[ 0.75, 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.
| 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | |
| Popularity of the 'drake' meme (Relative popularity) | 0.375 | 0.125 | 0.25 | 0.285714 | 0.444444 | 1.75 | 6.91667 | 24.25 | 18.25 | 32.75 | 32 | 22.5833 | 38.9167 | 37.9167 | 27.1667 | 26.3333 | 28.8333 |
| Automotive recalls issued by Chrysler (Recalls) | 27 | 19 | 13 | 18 | 17 | 8 | 13 | 36 | 36 | 43 | 47 | 34 | 46 | 44 | 27 | 38 | 39 |
Why this works
- Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
- Lack of causal connection: There is probably
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([0.375,0.125,0.25,0.285714,0.444444,1.75,6.91667,24.25,18.25,32.75,32,22.5833,38.9167,37.9167,27.1667,26.3333,28.8333,])
array_2 = np.array([27,19,13,18,17,8,13,36,36,43,47,34,46,44,27,38,39,])
array_1_name = "Popularity of the 'drake' meme"
array_2_name = "Automotive recalls issued by Chrysler"
# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)
# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)Reuseable content
You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.
For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."
When spoken, my last name is pronounced "vegan," like I don't eat meat.
Full license details.
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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 Popularity of the 'drake' meme
- Line chart for only Automotive recalls issued by Chrysler
- AI-generated correlation image
- The spurious research paper: Stopping the Recall: An Unforgettable Connection between 'Drake' Meme Popularity and Automotive Woes at Chrysler
You're the rating guru we've been waiting for!
Correlation ID: 4911 · Black Variable ID: 25139 · Red Variable ID: 1119
